599 lines
No EOL
1.2 MiB
599 lines
No EOL
1.2 MiB
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model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Image generator\\\"\\n description: str = \\\"generate images using Dall-E\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n }\\n\\n def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n client = OpenAI(api_key=api_key)\\n cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n images_dir = cache_dir / \\\"images\\\"\\n images_dir.mkdir(parents=True, exist_ok=True)\\n image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n response = client.images.generate(\\n model=model,\\n prompt=prompt,\\n size=f\\\"{height}x{width}\\\",\\n response_format=\\\"b64_json\\\",\\n n=1,\\n )\\n # Decode base64-encoded image string\\n binary_data = base64.b64decode(response.data[0].b64_json)\\n # Create PIL Image object from binary image data\\n image_pil = Image.open(BytesIO(binary_data))\\n image_pil.save(image_path, format=output_format.upper())\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Chain) -> str:\\n result = param.run({})\\n self.status = result\\n return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 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LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: 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to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900 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File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n display_name: str = \\\"Directory Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n loaders_info = [\\n {\\n \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"JSONLoader\\\",\\n \\\"name\\\": \\\"JSON (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"json\\\"],\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n },\\n {\\n \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CSVLoader\\\",\\n \\\"name\\\": \\\"CSV (.csv)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n \\\"defaultFor\\\": [\\\"csv\\\"],\\n \\\"allowdTypes\\\": [\\\"csv\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CoNLLULoader\\\",\\n \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n \\\"defaultFor\\\": [\\\"conllu\\\"],\\n \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"EverNoteLoader\\\",\\n \\\"name\\\": \\\"EverNote (.enex)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n \\\"defaultFor\\\": [\\\"enex\\\"],\\n \\\"allowdTypes\\\": [\\\"enex\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n \\\"defaultFor\\\": [\\\"msg\\\"],\\n \\\"allowdTypes\\\": [\\\"msg\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"PyPDFLoader\\\",\\n \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n \\\"defaultFor\\\": [\\\"pdf\\\"],\\n \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"STRLoader\\\",\\n \\\"name\\\": \\\"Subtitle (.str)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n \\\"defaultFor\\\": [\\\"str\\\"],\\n \\\"allowdTypes\\\": [\\\"str\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"TextLoader\\\",\\n \\\"name\\\": \\\"Text (.txt)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n \\\"defaultFor\\\": [\\\"txt\\\"],\\n \\\"allowdTypes\\\": [\\\"txt\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n \\\"defaultFor\\\": [\\\"eml\\\"],\\n \\\"allowdTypes\\\": [\\\"eml\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n \\\"defaultFor\\\": [\\\"md\\\"],\\n \\\"allowdTypes\\\": [\\\"md\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n \\\"defaultFor\\\": [\\\"pptx\\\"],\\n \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n \\\"defaultFor\\\": [\\\"docx\\\"],\\n \\\"allowdTypes\\\": [\\\"docx\\\"],\\n },\\n]\\n\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [\\n loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n ]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in self.loaders_info:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"directory_path\\\": {\\n \\\"display_name\\\": \\\"Directory Path\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n }\\n\\n def build(self, directory_path: str, loader: str) -> Document:\\n # Verifique se o diretório existe\\n if not os.path.exists(directory_path):\\n raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n loader_info = None\\n if loader == \\\"Automatic\\\":\\n for file in files:\\n file_type = file.split(\\\".\\\")[-1]\\n\\n\\n for info in self.loaders_info:\\n if \\\"defaultFor\\\" in info:\\n if file_type in info[\\\"defaultFor\\\"]:\\n loader_info = info\\n break\\n if loader_info:\\n break\\n\\n if not loader_info:\\n raise ValueError(\\n \\\"No default loader found for any file in the directory\\\"\\n )\\n\\n else:\\n for info in self.loaders_info:\\n if info[\\\"name\\\"] == loader:\\n loader_info = info\\n break\\n\\n if not loader_info:\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n loader_import = loader_info[\\\"import\\\"]\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(\\n f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n ) from e\\n\\n results = []\\n for file in files:\\n file_path = os.path.join(directory_path, file)\\n kwargs = loader_info.get(\\\"kwargs\\\", {})\\n result = loader_instance(file_path=file_path, **kwargs).load()\\n results.append(result)\\n self.status = results\\n return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n AgentExecutor,\\n BaseChatMemory,\\n BaseLanguageModel,\\n BaseLLM,\\n BaseLoader,\\n BaseMemory,\\n BaseOutputParser,\\n BasePromptTemplate,\\n BaseRetriever,\\n Callable,\\n Chain,\\n ChatPromptTemplate,\\n Data,\\n Document,\\n Embeddings,\\n NestedDict,\\n Object,\\n PromptTemplate,\\n TextSplitter,\\n Tool,\\n VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n display_name: str = \\\"Whisper Transcriber\\\"\\n description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n def build_config(self):\\n return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n def build(self, audio:str, OpenAIKey:str) -> str:\\n \\n # TODO: if output path, persist & load it instead\\n \\n client = OpenAI(api_key=OpenAIKey)\\n \\n audio_file= open(audio, \\\"rb\\\")\\n transcript = client.audio.transcriptions.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file,\\n response_format=\\\"text\\\"\\n )\\n \\n \\n self.status = transcript\\n return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"YouTube Transcript\\\"\\n description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n def build_config(self):\\n return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n dependencies\\n response = requests.get(url)\\n loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n result = loader.load()\\n self.repr_value = str(result)\\n return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"PIP Install\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n\\n def build(self, libs: List[str]) -> Document:\\n def install_package(package_name):\\n subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n for lib in libs:\\n install_package(lib)\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser 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Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input 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requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown 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{\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A 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Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL 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PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return 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(1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per 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string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per 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Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and 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files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your 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math.\",\"base_classes\":[\"Chain\",\"LLMMathChain\",\"Callable\"],\"display_name\":\"LLMMathChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQA\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"query\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"result\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"BaseRetrievalQA\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQA\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQAWithSourcesChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_docs_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"docs\",\"fileTypes\":[],\"password\":false,\"name\":\"input_docs_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens_limit\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3375,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"question_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"question_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"reduce_k_below_max_tokens\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"reduce_k_below_max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"sources_answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"sources\",\"fileTypes\":[],\"password\":false,\"name\":\"sources_answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQAWithSourcesChain\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"RetrievalQAWithSourcesChain\",\"BaseQAWithSourcesChain\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabaseChain\"},\"description\":\"Create a SQLDatabaseChain from an LLM and a database connection.\",\"base_classes\":[\"SQLDatabaseChain\",\"Chain\",\"Callable\"],\"display_name\":\"SQLDatabaseChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CombineDocsChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"Callable\"],\"display_name\":\"CombineDocsChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"character\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"series\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"SeriesCharacterChain\",\"Callable\"],\"display_name\":\"SeriesCharacterChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"MidJourneyPromptChain\"],\"display_name\":\"MidJourneyPromptChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"TimeTravelGuideChain\",\"Chain\",\"ConversationChain\"],\"display_name\":\"TimeTravelGuideChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"field_formatters\":{},\"beta\":true},\"ConversationChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.chains import ConversationChain\\nfrom typing import Optional, Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain\\n\\n\\nclass ConversationChainComponent(CustomComponent):\\n display_name = \\\"ConversationChain\\\"\\n description = \\\"Chain to have a conversation and load context from memory.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\n \\\"display_name\\\": \\\"Memory\\\",\\n \\\"info\\\": \\\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n if memory is None:\\n return ConversationChain(llm=llm)\\n return ConversationChain(llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null},\"output_types\":[\"ConversationChain\"],\"field_formatters\":{},\"beta\":true},\"PromptRunner\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return Document(page_content=str(result))\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"inputs\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"field_formatters\":{},\"beta\":true}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"type\":\"BaseCallbackManager\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_parser\":{\"type\":\"AgentOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"BaseTool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"format_instructions\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"fileTypes\":[],\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"ZeroShotAgent\",\"BaseSingleActionAgent\",\"Agent\",\"Callable\"],\"display_name\":\"ZeroShotAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"toolkit\":{\"type\":\"BaseToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"json_agent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"JsonAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/openapi\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CSVAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreinfo\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreinfo\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstore_agent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreroutertoolkit\":{\"type\":\"VectorStoreRouterToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstorerouter_agent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreRouterAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"sql_agent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"SQLAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AgentInitializer\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_iterations\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"AgentExecutor\",\"Chain\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"field_formatters\":{},\"beta\":true},\"OpenAIConversationalAgent\":{\"template\":{\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"system_message\":{\"type\":\"SystemMessagePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.chat_models import ChatOpenAI\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.tools import Tool\\nfrom langflow import CustomComponent\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n display_name: str = \\\"OpenAI Conversational Agent\\\"\\n description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n def build_config(self):\\n openai_function_models = [\\n \\\"gpt-4-1106-preview\\\",\\n \\\"gpt-3.5-turbo\\\",\\n \\\"gpt-3.5-turbo-16k\\\",\\n \\\"gpt-4\\\",\\n \\\"gpt-4-32k\\\",\\n ]\\n return {\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n \\\"model_name\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": openai_function_models,\\n \\\"value\\\": openai_function_models[0],\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_name: str,\\n openai_api_key: str,\\n tools: List[Tool],\\n openai_api_base: Optional[str] = None,\\n memory: Optional[BaseMemory] = None,\\n system_message: Optional[SystemMessagePromptTemplate] = None,\\n max_token_limit: int = 2000,\\n ) -> AgentExecutor:\\n llm = ChatOpenAI(\\n model=model_name,\\n api_key=openai_api_key,\\n base_url=openai_api_base,\\n )\\n if not memory:\\n memory_key = \\\"chat_history\\\"\\n memory = ConversationTokenBufferMemory(\\n memory_key=memory_key,\\n return_messages=True,\\n output_key=\\\"output\\\",\\n llm=llm,\\n max_token_limit=max_token_limit,\\n )\\n else:\\n memory_key = memory.memory_key # type: ignore\\n\\n _system_message = system_message or _get_default_system_message()\\n prompt = OpenAIFunctionsAgent.create_prompt(\\n system_message=_system_message, # type: ignore\\n extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n )\\n agent = OpenAIFunctionsAgent(\\n llm=llm,\\n tools=tools,\\n prompt=prompt, # type: ignore\\n )\\n return AgentExecutor(\\n agent=agent,\\n tools=tools, # type: ignore\\n memory=memory,\\n verbose=True,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_token_limit\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2000,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"AgentExecutor\",\"Chain\"],\"display_name\":\"OpenAI Conversational Agent\",\"documentation\":\"\",\"custom_fields\":{\"max_token_limit\":null,\"memory\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"system_message\":null,\"tools\":null},\"output_types\":[\"OpenAIConversationalAgent\"],\"field_formatters\":{},\"beta\":true}},\"prompts\":{\"ChatMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"role\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"role\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatMessagePromptTemplate\"},\"description\":\"Chat message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"ChatMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"ChatMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatPromptTemplate\":{\"template\":{\"messages\":{\"type\":\"BaseMessagePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"BaseChatPromptTemplate\",\"BasePromptTemplate\",\"ChatPromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HumanMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"HumanMessagePromptTemplate\"},\"description\":\"Human message prompt template. This is a message sent from the user.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"HumanMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"HumanMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PromptTemplate\":{\"template\":{\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template_format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"fileTypes\":[],\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"PromptTemplate\"},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"PromptTemplate\",\"StringPromptTemplate\"],\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SystemMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"SystemMessagePromptTemplate\"},\"description\":\"System message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"SystemMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"SystemMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"llms\":{\"Anthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], 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Vertex AI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"BaseLLM\",\"VertexAI\"],\"display_name\":\"VertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatAnthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatAnthropic\"},\"description\":\"`Anthropic` chat large language 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models 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AI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"ChatVertexAI\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrock\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.bedrock import Bedrock\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n display_name: str = \\\"Amazon Bedrock\\\"\\n description: str = \\\"LLM model from Amazon Bedrock.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\n \\\"ai21.j2-grande-instruct\\\",\\n \\\"ai21.j2-jumbo-instruct\\\",\\n \\\"ai21.j2-mid\\\",\\n \\\"ai21.j2-mid-v1\\\",\\n \\\"ai21.j2-ultra\\\",\\n \\\"ai21.j2-ultra-v1\\\",\\n \\\"anthropic.claude-instant-v1\\\",\\n \\\"anthropic.claude-v1\\\",\\n \\\"anthropic.claude-v2\\\",\\n \\\"cohere.command-text-v14\\\",\\n ],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n ) -> BaseLLM:\\n try:\\n output = Bedrock(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Amazon Bedrock.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Amazon Bedrock\",\"documentation\":\"\",\"custom_fields\":{\"credentials_profile_name\":null,\"model_id\":null},\"output_types\":[\"AmazonBedrock\"],\"field_formatters\":{},\"beta\":true},\"AnthropicLLM\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\"},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.anthropic import ChatAnthropic\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n display_name: str = \\\"AnthropicLLM\\\"\\n description: str = \\\"Anthropic Chat&Completion large language models.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"model\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": [\\n \\\"claude-2.1\\\",\\n \\\"claude-2.0\\\",\\n \\\"claude-instant-1.2\\\",\\n \\\"claude-instant-1\\\",\\n # Add more models as needed\\n ],\\n \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n \\\"required\\\": True,\\n \\\"value\\\": \\\"claude-2.1\\\",\\n },\\n \\\"anthropic_api_key\\\": {\\n \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n },\\n \\\"max_tokens\\\": {\\n \\\"display_name\\\": \\\"Max Tokens\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 256,\\n },\\n \\\"temperature\\\": {\\n \\\"display_name\\\": \\\"Temperature\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"value\\\": 0.7,\\n },\\n \\\"api_endpoint\\\": {\\n \\\"display_name\\\": \\\"API Endpoint\\\",\\n \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model: str,\\n anthropic_api_key: Optional[str] = None,\\n max_tokens: Optional[int] = None,\\n temperature: Optional[float] = None,\\n api_endpoint: Optional[str] = None,\\n ) -> BaseLanguageModel:\\n # Set default API endpoint if not provided\\n if not api_endpoint:\\n api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n try:\\n output = ChatAnthropic(\\n model_name=model,\\n anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,\\n max_tokens_to_sample=max_tokens, # type: ignore\\n temperature=temperature,\\n anthropic_api_url=api_endpoint,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic Chat&Completion large language models.\",\"base_classes\":[\"BaseLanguageModel\"],\"display_name\":\"AnthropicLLM\",\"documentation\":\"\",\"custom_fields\":{\"anthropic_api_key\":null,\"api_endpoint\":null,\"max_tokens\":null,\"model\":null,\"temperature\":null},\"output_types\":[\"AnthropicLLM\"],\"field_formatters\":{},\"beta\":true},\"HuggingFaceEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n display_name: str = \\\"Hugging Face Inference API\\\"\\n description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n \\\"task\\\": {\\n \\\"display_name\\\": \\\"Task\\\",\\n \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n },\\n \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n \\\"model_kwargs\\\": {\\n \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n \\\"field_type\\\": \\\"code\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n endpoint_url: str,\\n task: str = \\\"text2text-generation\\\",\\n huggingfacehub_api_token: Optional[str] = None,\\n model_kwargs: Optional[dict] = None,\\n ) -> BaseLLM:\\n try:\\n output = HuggingFaceEndpoint(\\n endpoint_url=endpoint_url,\\n task=task,\\n huggingfacehub_api_token=huggingfacehub_api_token,\\n model_kwargs=model_kwargs,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"documentation\":\"\",\"custom_fields\":{\"endpoint_url\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null,\"task\":null},\"output_types\":[\"HuggingFaceEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanChatEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n display_name: str = \\\"QianfanChatEndpoint\\\"\\n description: str = (\\n \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n )\\n\\n def build_config(self):\\n return {\\n \\\"model\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": [\\n \\\"ERNIE-Bot\\\",\\n \\\"ERNIE-Bot-turbo\\\",\\n \\\"BLOOMZ-7B\\\",\\n \\\"Llama-2-7b-chat\\\",\\n \\\"Llama-2-13b-chat\\\",\\n \\\"Llama-2-70b-chat\\\",\\n \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n \\\"ChatGLM2-6B-32K\\\",\\n \\\"AquilaChat-7B\\\",\\n ],\\n \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n \\\"required\\\": True,\\n },\\n \\\"qianfan_ak\\\": {\\n \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"qianfan_sk\\\": {\\n \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"top_p\\\": {\\n \\\"display_name\\\": \\\"Top p\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.8,\\n },\\n \\\"temperature\\\": {\\n \\\"display_name\\\": \\\"Temperature\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.95,\\n },\\n \\\"penalty_score\\\": {\\n \\\"display_name\\\": \\\"Penalty Score\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 1.0,\\n },\\n \\\"endpoint\\\": {\\n \\\"display_name\\\": \\\"Endpoint\\\",\\n \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model: str = \\\"ERNIE-Bot-turbo\\\",\\n qianfan_ak: Optional[str] = None,\\n qianfan_sk: Optional[str] = None,\\n top_p: Optional[float] = None,\\n temperature: Optional[float] = None,\\n penalty_score: Optional[float] = None,\\n endpoint: Optional[str] = None,\\n ) -> BaseLLM:\\n try:\\n output = QianfanChatEndpoint( # type: ignore\\n model=model,\\n qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n top_p=top_p,\\n temperature=temperature,\\n penalty_score=penalty_score,\\n endpoint=endpoint,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n return output # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanChatEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanLLMEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n display_name: str = \\\"QianfanLLMEndpoint\\\"\\n description: str = (\\n \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n )\\n\\n def build_config(self):\\n return {\\n \\\"model\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": [\\n \\\"ERNIE-Bot\\\",\\n \\\"ERNIE-Bot-turbo\\\",\\n \\\"BLOOMZ-7B\\\",\\n \\\"Llama-2-7b-chat\\\",\\n \\\"Llama-2-13b-chat\\\",\\n \\\"Llama-2-70b-chat\\\",\\n \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n \\\"ChatGLM2-6B-32K\\\",\\n \\\"AquilaChat-7B\\\",\\n ],\\n \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n \\\"required\\\": True,\\n },\\n \\\"qianfan_ak\\\": {\\n \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"qianfan_sk\\\": {\\n \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"top_p\\\": {\\n \\\"display_name\\\": \\\"Top p\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.8,\\n },\\n \\\"temperature\\\": {\\n \\\"display_name\\\": \\\"Temperature\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.95,\\n },\\n \\\"penalty_score\\\": {\\n \\\"display_name\\\": \\\"Penalty Score\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 1.0,\\n },\\n \\\"endpoint\\\": {\\n \\\"display_name\\\": \\\"Endpoint\\\",\\n \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model: str = \\\"ERNIE-Bot-turbo\\\",\\n qianfan_ak: Optional[str] = None,\\n qianfan_sk: Optional[str] = None,\\n top_p: Optional[float] = None,\\n temperature: Optional[float] = None,\\n penalty_score: Optional[float] = None,\\n endpoint: Optional[str] = None,\\n ) -> BaseLLM:\\n try:\\n output = QianfanLLMEndpoint( # type: ignore\\n model=model,\\n qianfan_ak=qianfan_ak,\\n qianfan_sk=qianfan_sk,\\n top_p=top_p,\\n temperature=temperature,\\n penalty_score=penalty_score,\\n endpoint=endpoint,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n return output # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanLLMEndpoints\"],\"field_formatters\":{},\"beta\":true}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationBufferWindowMemory\",\"BaseMemory\"],\"display_name\":\"ConversationBufferWindowMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_store\":{\"type\":\"BaseEntityStore\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_summarization_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chat_history_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"history\",\"fileTypes\":[],\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_cache\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationEntityMemory\"],\"display_name\":\"ConversationEntityMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"kg\":{\"type\":\"NetworkxEntityGraph\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"knowledge_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation 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"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPostTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPostTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPutTool\"],\"display_name\":\"RequestsPutTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WikipediaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WikipediaQueryRun\",\"BaseTool\"],\"display_name\":\"WikipediaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WolframAlphaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"WolframAlphaQueryRun\"],\"display_name\":\"WolframAlphaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonToolkit\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"JsonToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"JsonToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"type\":\"AgentExecutor\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"json_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAPIToolkit\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"OpenAPIToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"OpenAPIToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreInfo\"},\"description\":\"Information about a VectorStore.\",\"base_classes\":[\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstores\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRouterToolkit\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"VectorStoreRouterToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreRouterToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstore_info\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore_info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreToolkit\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"VectorStoreToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Metaphor\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\nfrom langchain.tools import Tool\\nfrom metaphor_python import Metaphor # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n display_name: str = \\\"Metaphor\\\"\\n description: str = \\\"Metaphor Toolkit\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n beta: bool = True\\n # api key should be password = True\\n field_config = {\\n \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n \\\"code\\\": {\\\"advanced\\\": True},\\n }\\n\\n def build(\\n self,\\n metaphor_api_key: str,\\n use_autoprompt: bool = True,\\n search_num_results: int = 5,\\n similar_num_results: int = 5,\\n ) -> Union[Tool, BaseToolkit]:\\n # If documents, then we need to create a Vectara instance using .from_documents\\n client = Metaphor(api_key=metaphor_api_key)\\n\\n @tool\\n def search(query: str):\\n \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results)\\n\\n @tool\\n def get_contents(ids: List[str]):\\n \\\"\\\"\\\"Get contents of a webpage.\\n\\n The ids passed in should be a list of ids as fetched from `search`.\\n \\\"\\\"\\\"\\n return client.get_contents(ids)\\n\\n @tool\\n def find_similar(url: str):\\n \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n The url passed in should be a URL returned from `search`\\n \\\"\\\"\\\"\\n return client.find_similar(url, num_results=similar_num_results)\\n\\n return [search, get_contents, find_similar] # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"metaphor_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"similar_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"similar_num_results\",\"display_name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"use_autoprompt\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseToolkit\"],\"display_name\":\"Metaphor\",\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"custom_fields\":{\"metaphor_api_key\":null,\"search_num_results\":null,\"similar_num_results\":null,\"use_autoprompt\":null},\"output_types\":[\"Metaphor\"],\"field_formatters\":{},\"beta\":true}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"auth\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library.\",\"base_classes\":[\"TextRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabase\":{\"template\":{\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engine_args\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"engine_args\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabase\"},\"description\":\"Construct a SQLAlchemy engine from URI.\",\"base_classes\":[\"SQLDatabase\",\"Callable\"],\"display_name\":\"SQLDatabase\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"deployment\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"embedding_ctx_length\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8191,\"fileTypes\":[],\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_version\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"retry_max_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"retry_max_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"retry_min_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"retry_min_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"show_progress_bar\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"skip_empty\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tiktoken_enabled\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CohereEmbeddings\":{\"template\":{\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"Embeddings\",\"CohereEmbeddings\"],\"display_name\":\"CohereEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache_folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"encode_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"multi_process\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"multi_process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceEmbeddings\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceEmbeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAIEmbeddings\":{\"template\":{\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":true,\"name\":\"max_output_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"VertexAIEmbeddings\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAIBase\",\"_VertexAICommon\",\"Embeddings\",\"VertexAIEmbeddings\"],\"display_name\":\"VertexAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrockEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"field_formatters\":{},\"beta\":true}},\"vectorstores\":{\"FAISS\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"folder_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"folder_path\",\"display_name\":\"Local Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FAISS\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"FAISS\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"FAISS\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBAtlasVectorSearch\":{\"template\":{\"collection\":{\"type\":\"Collection[MongoDBDocumentType]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"mongodb_atlas_cluster_uri\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBAtlasVectorSearch\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"VectorStore\",\"MongoDBAtlasVectorSearch\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"MongoDB Atlas\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Pinecone\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":32,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"namespace\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pinecone_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_api_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pinecone_env\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pool_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"pool_threads\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"upsert_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"upsert_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Pinecone\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Pinecone\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Pinecone\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Qdrant\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hnsw_config\":{\"type\":\"common_types.HnswConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"hnsw_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"init_from\":{\"type\":\"common_types.InitFrom\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"init_from\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"optimizers_config\":{\"type\":\"common_types.OptimizersConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"optimizers_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"quantization_config\":{\"type\":\"common_types.QuantizationConfig\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"quantization_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wal_config\":{\"type\":\"common_types.WalConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wal_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"content_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"fileTypes\":[],\"password\":false,\"name\":\"content_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"distance_func\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"fileTypes\":[],\"password\":false,\"name\":\"distance_func\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"force_recreate\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"force_recreate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6334,\"fileTypes\":[],\"password\":false,\"name\":\"grpc_port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"https\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"https\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\":memory:\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\":memory:\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"fileTypes\":[],\"password\":false,\"name\":\"metadata_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk_payload\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk_payload\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6333,\"fileTypes\":[],\"password\":false,\"name\":\"port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefer_grpc\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prefer_grpc\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"replication_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"replication_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"shard_number\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"shard_number\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vector_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vector_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"write_consistency_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"write_consistency_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Qdrant\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Qdrant\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SupabaseVectorStore\":{\"template\":{\"client\":{\"type\":\"supabase.client.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":500,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"supabase_service_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"supabase_service_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"supabase_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SupabaseVectorStore\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"VectorStore\",\"SupabaseVectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Supabase\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Weaviate\":{\"template\":{\"client\":{\"type\":\"weaviate.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"relevance_score_fn\":{\"type\":\"Callable[[float], float]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"password\":false,\"name\":\"relevance_score_fn\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"by_text\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"by_text\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"weaviate_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"http://localhost:8080\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"weaviate_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Weaviate\"},\"description\":\"Construct Weaviate wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Weaviate\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Weaviate\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Redis\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.redis import Redis\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass RedisComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing a Vector Store using Redis.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Redis\\\"\\n description: str = \\\"Implementation of Vector Store using Redis\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/redis\\\"\\n beta = True\\n\\n def build_config(self):\\n \\\"\\\"\\\"\\n Builds the configuration for the component.\\n\\n Returns:\\n - dict: A dictionary containing the configuration options for the component.\\n \\\"\\\"\\\"\\n return {\\n \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n \\\"redis_server_url\\\": {\\n \\\"display_name\\\": \\\"Redis Server Connection String\\\",\\n \\\"advanced\\\": False,\\n },\\n \\\"redis_index_name\\\": {\\\"display_name\\\": \\\"Redis Index\\\", \\\"advanced\\\": False},\\n }\\n\\n def build(\\n self,\\n embedding: Embeddings,\\n redis_server_url: str,\\n redis_index_name: str,\\n documents: Optional[Document] = None,\\n ) -> VectorStore:\\n \\\"\\\"\\\"\\n Builds the Vector Store or BaseRetriever object.\\n\\n Args:\\n - embedding (Embeddings): The embeddings to use for the Vector Store.\\n - documents (Optional[Document]): The documents to use for the Vector Store.\\n - redis_index_name (str): The name of the Redis index.\\n - redis_server_url (str): The URL for the Redis server.\\n\\n Returns:\\n - VectorStore: The Vector Store object.\\n \\\"\\\"\\\"\\n\\n return Redis.from_documents(\\n documents=documents, # type: ignore\\n embedding=embedding,\\n redis_url=redis_server_url,\\n index_name=redis_index_name,\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"redis_index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_index_name\",\"display_name\":\"Redis Index\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"redis_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_server_url\",\"display_name\":\"Redis Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Redis\",\"base_classes\":[\"VectorStore\"],\"display_name\":\"Redis\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/redis\",\"custom_fields\":{\"documents\":null,\"embedding\":null,\"redis_index_name\":null,\"redis_server_url\":null},\"output_types\":[\"Redis\"],\"field_formatters\":{},\"beta\":true},\"Chroma\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Chroma\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.embeddings.base import Embeddings\\nimport chromadb # type: ignore\\n\\n\\nclass ChromaComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing a Vector Store using Chroma.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Chroma\\\"\\n description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n beta: bool = True\\n\\n def build_config(self):\\n \\\"\\\"\\\"\\n Builds the configuration for the component.\\n\\n Returns:\\n - dict: A dictionary containing the configuration options for the component.\\n \\\"\\\"\\\"\\n return {\\n \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n \\\"persist_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n \\\"chroma_server_cors_allow_origins\\\": {\\n \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n \\\"advanced\\\": True,\\n },\\n \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n \\\"chroma_server_grpc_port\\\": {\\n \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n \\\"advanced\\\": True,\\n },\\n \\\"chroma_server_ssl_enabled\\\": {\\n \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n \\\"advanced\\\": True,\\n },\\n }\\n\\n def build(\\n self,\\n collection_name: str,\\n persist: bool,\\n chroma_server_ssl_enabled: bool,\\n persist_directory: Optional[str] = None,\\n embedding: Optional[Embeddings] = None,\\n documents: Optional[Document] = None,\\n chroma_server_cors_allow_origins: Optional[str] = None,\\n chroma_server_host: Optional[str] = None,\\n chroma_server_port: Optional[int] = None,\\n chroma_server_grpc_port: Optional[int] = None,\\n ) -> Union[VectorStore, BaseRetriever]:\\n \\\"\\\"\\\"\\n Builds the Vector Store or BaseRetriever object.\\n\\n Args:\\n - collection_name (str): The name of the collection.\\n - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n - persist (bool): Whether to persist the Vector Store or not.\\n - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n - documents (Optional[Document]): The documents to use for the Vector Store.\\n - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n - chroma_server_host (Optional[str]): The host for the Chroma server.\\n - chroma_server_port (Optional[int]): The port for the Chroma server.\\n - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n Returns:\\n - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n \\\"\\\"\\\"\\n\\n # Chroma settings\\n chroma_settings = None\\n\\n if chroma_server_host is not None:\\n chroma_settings = chromadb.config.Settings(\\n chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\\n chroma_server_host=chroma_server_host,\\n chroma_server_port=chroma_server_port or None,\\n chroma_server_grpc_port=chroma_server_grpc_port or None,\\n chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n )\\n\\n # If documents, then we need to create a Chroma instance using .from_documents\\n if documents is not None and embedding is not None:\\n return Chroma.from_documents(\\n documents=documents, # type: ignore\\n persist_directory=persist_directory if persist else None,\\n collection_name=collection_name,\\n embedding=embedding,\\n client_settings=chroma_settings,\\n )\\n\\n return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Chroma\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Chroma\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"custom_fields\":{\"chroma_server_cors_allow_origins\":null,\"chroma_server_grpc_port\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_ssl_enabled\":null,\"collection_name\":null,\"documents\":null,\"embedding\":null,\"persist\":null,\"persist_directory\":null},\"output_types\":[\"Chroma\"],\"field_formatters\":{},\"beta\":true},\"pgvector\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, List\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.pgvector import PGVector\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass PostgresqlVectorComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing a Vector Store using PostgreSQL.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"PGVector\\\"\\n description: str = \\\"Implementation of Vector Store using PostgreSQL\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\\\"\\n beta = True\\n\\n def build_config(self):\\n \\\"\\\"\\\"\\n Builds the configuration for the component.\\n\\n Returns:\\n - dict: A dictionary containing the configuration options for the component.\\n \\\"\\\"\\\"\\n return {\\n \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n \\\"code\\\": {\\\"show\\\": True, \\\"display_name\\\": \\\"Code\\\"},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n \\\"pg_server_url\\\": {\\n \\\"display_name\\\": \\\"PostgreSQL Server Connection String\\\",\\n \\\"advanced\\\": False,\\n },\\n \\\"collection_name\\\": {\\\"display_name\\\": \\\"Table\\\", \\\"advanced\\\": False},\\n }\\n\\n def build(\\n self,\\n embedding: Embeddings,\\n pg_server_url: str,\\n collection_name: str,\\n documents: Optional[List[Document]] = None,\\n ) -> VectorStore:\\n \\\"\\\"\\\"\\n Builds the Vector Store or BaseRetriever object.\\n\\n Args:\\n - embedding (Embeddings): The embeddings to use for the Vector Store.\\n - documents (Optional[Document]): The documents to use for the Vector Store.\\n - collection_name (str): The name of the PG table.\\n - pg_server_url (str): The URL for the PG server.\\n\\n Returns:\\n - VectorStore: The Vector Store object.\\n \\\"\\\"\\\"\\n\\n try:\\n if documents is None:\\n return PGVector.from_existing_index(\\n embedding=embedding,\\n collection_name=collection_name,\\n connection_string=pg_server_url,\\n )\\n\\n return PGVector.from_documents(\\n embedding=embedding,\\n documents=documents,\\n collection_name=collection_name,\\n connection_string=pg_server_url,\\n )\\n except Exception as e:\\n raise RuntimeError(f\\\"Failed to build PGVector: {e}\\\")\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Table\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pg_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pg_server_url\",\"display_name\":\"PostgreSQL Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using PostgreSQL\",\"base_classes\":[],\"display_name\":\"PGVector\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\",\"custom_fields\":{\"collection_name\":null,\"documents\":null,\"embedding\":null,\"pg_server_url\":null},\"output_types\":[\"pgvector\"],\"field_formatters\":{},\"beta\":true},\"Vectara\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain.vectorstores import Vectara\\nfrom langchain.vectorstores.base import VectorStore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass VectaraComponent(CustomComponent):\\n display_name: str = \\\"Vectara\\\"\\n description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n beta = True\\n # api key should be password = True\\n field_config = {\\n \\\"vectara_customer_id\\\": {\\\"display_name\\\": \\\"Vectara Customer ID\\\"},\\n \\\"vectara_corpus_id\\\": {\\\"display_name\\\": \\\"Vectara Corpus ID\\\"},\\n \\\"vectara_api_key\\\": {\\\"display_name\\\": \\\"Vectara API Key\\\", \\\"password\\\": True},\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n }\\n\\n def build(\\n self,\\n vectara_customer_id: str,\\n vectara_corpus_id: str,\\n vectara_api_key: str,\\n documents: Optional[Document] = None,\\n ) -> Union[VectorStore, BaseRetriever]:\\n # If documents, then we need to create a Vectara instance using .from_documents\\n if documents is not None:\\n return Vectara.from_documents(\\n documents=documents, # type: ignore\\n vectara_customer_id=vectara_customer_id,\\n vectara_corpus_id=vectara_corpus_id,\\n vectara_api_key=vectara_api_key,\\n source=\\\"langflow\\\",\\n )\\n\\n return Vectara(\\n vectara_customer_id=vectara_customer_id,\\n vectara_corpus_id=vectara_corpus_id,\\n vectara_api_key=vectara_api_key,\\n source=\\\"langflow\\\",\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"vectara_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_corpus_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_customer_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"custom_fields\":{\"documents\":null,\"vectara_api_key\":null,\"vectara_corpus_id\":null,\"vectara_customer_id\":null},\"output_types\":[\"Vectara\"],\"field_formatters\":{},\"beta\":true}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CSVLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` 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`Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pptx\",\".ppt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".docx\",\".doc\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FileLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\"json\",\"txt\",\"csv\",\"jsonl\",\"html\",\"htm\",\"conllu\",\"enex\",\"msg\",\"pdf\",\"srt\",\"eml\",\"md\",\"pptx\",\"docx\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"display_name\":\"File Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain.schema import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.constants import LOADERS_INFO\\n\\n\\nclass FileLoaderComponent(CustomComponent):\\n display_name: str = \\\"File Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [loader_info[\\\"name\\\"] for loader_info in LOADERS_INFO]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in LOADERS_INFO:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"file_path\\\": {\\n \\\"display_name\\\": \\\"File Path\\\",\\n \\\"required\\\": True,\\n \\\"field_type\\\": \\\"file\\\",\\n \\\"file_types\\\": [\\n \\\"json\\\",\\n \\\"txt\\\",\\n \\\"csv\\\",\\n \\\"jsonl\\\",\\n \\\"html\\\",\\n \\\"htm\\\",\\n \\\"conllu\\\",\\n \\\"enex\\\",\\n \\\"msg\\\",\\n \\\"pdf\\\",\\n \\\"srt\\\",\\n \\\"eml\\\",\\n \\\"md\\\",\\n \\\"pptx\\\",\\n \\\"docx\\\",\\n ],\\n \\\"suffixes\\\": [\\n \\\".json\\\",\\n \\\".txt\\\",\\n \\\".csv\\\",\\n \\\".jsonl\\\",\\n \\\".html\\\",\\n \\\".htm\\\",\\n \\\".conllu\\\",\\n \\\".enex\\\",\\n \\\".msg\\\",\\n \\\".pdf\\\",\\n \\\".srt\\\",\\n \\\".eml\\\",\\n \\\".md\\\",\\n \\\".pptx\\\",\\n \\\".docx\\\",\\n ],\\n # \\\"file_types\\\" : file_types,\\n # \\\"suffixes\\\": suffixes,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, file_path: str, loader: str) -> Document:\\n file_type = file_path.split(\\\".\\\")[-1]\\n\\n # Mapeie o nome do loader selecionado para suas informações\\n selected_loader_info = None\\n for loader_info in LOADERS_INFO:\\n if loader_info[\\\"name\\\"] == loader:\\n selected_loader_info = loader_info\\n break\\n\\n if selected_loader_info is None and loader != \\\"Automatic\\\":\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n if loader == \\\"Automatic\\\":\\n # Determine o loader automaticamente com base na extensão do arquivo\\n default_loader_info = None\\n for info in LOADERS_INFO:\\n if \\\"defaultFor\\\" in info and file_type in info[\\\"defaultFor\\\"]:\\n default_loader_info = info\\n break\\n\\n if default_loader_info is None:\\n raise ValueError(f\\\"No default loader found for file type: {file_type}\\\")\\n\\n selected_loader_info = default_loader_info\\n if isinstance(selected_loader_info, dict):\\n loader_import: str = selected_loader_info[\\\"import\\\"]\\n else:\\n raise ValueError(f\\\"Loader info for {loader} is not a dict\\\\nLoader info:\\\\n{selected_loader_info}\\\")\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{selected_loader_info}\\\") from e\\n\\n result = loader_instance(file_path=file_path)\\n return result.load()\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"File Loader\",\"documentation\":\"\",\"custom_fields\":{\"file_path\":null,\"loader\":null},\"output_types\":[\"FileLoader\"],\"field_formatters\":{},\"beta\":true},\"UrlLoader\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain import document_loaders\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\n\\n\\nclass UrlLoaderComponent(CustomComponent):\\n display_name: str = \\\"Url Loader\\\"\\n description: str = \\\"Generic Url Loader Component\\\"\\n\\n def build_config(self):\\n return {\\n \\\"web_path\\\": {\\n \\\"display_name\\\": \\\"Url\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": [\\n \\\"AZLyricsLoader\\\",\\n \\\"CollegeConfidentialLoader\\\",\\n \\\"GitbookLoader\\\",\\n \\\"HNLoader\\\",\\n \\\"IFixitLoader\\\",\\n \\\"IMSDbLoader\\\",\\n \\\"WebBaseLoader\\\",\\n ],\\n \\\"value\\\": \\\"WebBaseLoader\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, web_path: str, loader: str) -> List[Document]:\\n try:\\n loader_instance = getattr(document_loaders, loader)(web_path=web_path)\\n except Exception as e:\\n raise ValueError(f\\\"No loader found for: {web_path}\\\") from e\\n docs = loader_instance.load()\\n avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, \\\"page_content\\\")) / len(docs)\\n self.status = f\\\"\\\"\\\"{len(docs)} documents)\\n \\\\nAvg. Document Length (characters): {int(avg_length)}\\n Documents: {docs[:3]}...\\\"\\\"\\\"\\n return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"WebBaseLoader\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"AZLyricsLoader\",\"CollegeConfidentialLoader\",\"GitbookLoader\",\"HNLoader\",\"IFixitLoader\",\"IMSDbLoader\",\"WebBaseLoader\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic Url Loader Component\",\"base_classes\":[\"Document\"],\"display_name\":\"Url Loader\",\"documentation\":\"\",\"custom_fields\":{\"loader\":null,\"web_path\":null},\"output_types\":[\"UrlLoader\"],\"field_formatters\":{},\"beta\":true}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"separator\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CharacterTextSplitter\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"LanguageRecursiveTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.text_splitter import Language\\nfrom langchain.schema import Document\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Language Recursive Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n def build_config(self):\\n options = [x.value for x in Language]\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separator_type\\\": {\\n \\\"display_name\\\": \\\"Separator Type\\\",\\n \\\"info\\\": \\\"The type of separator to use.\\\",\\n \\\"field_type\\\": \\\"str\\\",\\n \\\"options\\\": options,\\n \\\"value\\\": \\\"Python\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": \\\"The characters to split on.\\\",\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n separator_type: Optional[str] = \\\"Python\\\",\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n\\n splitter = RecursiveCharacterTextSplitter.from_language(\\n language=Language(separator_type),\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separator_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":\"Python\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\",\"cobol\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separator_type\":null},\"output_types\":[\"LanguageRecursiveTextSplitter\"],\"field_formatters\":{},\"beta\":true},\"RecursiveCharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separators\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"field_formatters\":{},\"beta\":true}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"bing_search_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"bing_subscription_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"bing_subscription_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchAPIWrapper\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchAPIWrapper\":{\"template\":{\"google_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"google_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"google_cse_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"google_cse_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"siterestrict\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"siterestrict\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchAPIWrapper\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"gl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"us\",\"fileTypes\":[],\"password\":false,\"name\":\"gl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"hl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"result_key_for_type\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n \\\"news\\\": \\\"news\\\",\\n \\\"places\\\": \\\"places\\\",\\n \\\"images\\\": \\\"images\\\",\\n \\\"search\\\": \\\"organic\\\"\\n}\",\"fileTypes\":[],\"password\":true,\"name\":\"result_key_for_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serper_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serper_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tbs\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tbs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"search\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperAPIWrapper\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SearxSearchWrapper\":{\"template\":{\"aiosession\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"categories\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"categories\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engines\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"engines\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"query_suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"searx_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"searx_host\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"unsecure\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"unsecure\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SearxSearchWrapper\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SerpAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"{\\n \\\"engine\\\": \\\"google\\\",\\n \\\"google_domain\\\": \\\"google.com\\\",\\n \\\"gl\\\": \\\"us\\\",\\n \\\"hl\\\": \\\"en\\\"\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SerpAPIWrapper\"},\"description\":\"Wrapper around SerpAPI.\",\"base_classes\":[\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaAPIWrapper\":{\"template\":{\"doc_content_chars_max\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4000,\"fileTypes\":[],\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"lang\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_all_available_meta\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wiki_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wiki_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaAPIWrapper\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\"],\"display_name\":\"WikipediaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaAPIWrapper\":{\"template\":{\"wolfram_alpha_appid\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_alpha_appid\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wolfram_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaAPIWrapper\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GetRequest\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass GetRequest(CustomComponent):\\n display_name: str = \\\"GET Request\\\"\\n description: str = \\\"Make a GET request to the given URL.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n beta: bool = True\\n field_config = {\\n \\\"url\\\": {\\n \\\"display_name\\\": \\\"URL\\\",\\n \\\"info\\\": \\\"The URL to make the request to\\\",\\n \\\"is_list\\\": True,\\n },\\n \\\"headers\\\": {\\n \\\"display_name\\\": \\\"Headers\\\",\\n \\\"info\\\": \\\"The headers to send with the request.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"timeout\\\": {\\n \\\"display_name\\\": \\\"Timeout\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n \\\"value\\\": 5,\\n },\\n }\\n\\n def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:\\n try:\\n response = session.get(url, headers=headers, timeout=int(timeout))\\n try:\\n response_json = response.json()\\n result = orjson_dumps(response_json, indent_2=False)\\n except Exception:\\n result = response.text\\n self.repr_value = result\\n return Document(\\n page_content=result,\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": response.status_code,\\n },\\n )\\n except requests.Timeout:\\n return Document(\\n page_content=\\\"Request Timed Out\\\",\\n metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n )\\n except Exception as exc:\\n return Document(\\n page_content=str(exc),\\n metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n )\\n\\n def build(\\n self,\\n url: str,\\n headers: Optional[dict] = None,\\n timeout: int = 5,\\n ) -> list[Document]:\\n if headers is None:\\n headers = {}\\n urls = url if isinstance(url, list) else [url]\\n with requests.Session() as session:\\n documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"timeout\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"GET Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"custom_fields\":{\"headers\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"GetRequest\"],\"field_formatters\":{},\"beta\":true},\"JSONDocumentBuilder\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n display_name: str = \\\"JSON Document Builder\\\"\\n description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n beta = True\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n\\n field_config = {\\n \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n }\\n\\n def build(\\n self,\\n key: str,\\n document: Document,\\n ) -> Document:\\n documents = None\\n if isinstance(document, list):\\n documents = [\\n Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document\\n ]\\n elif isinstance(document, Document):\\n documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False))\\n else:\\n raise TypeError(f\\\"Expected Document or list of Documents, got {type(document)}\\\")\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Document\"],\"display_name\":\"JSON Document Builder\",\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"custom_fields\":{\"document\":null,\"key\":null},\"output_types\":[\"JSONDocumentBuilder\"],\"field_formatters\":{},\"beta\":true},\"UpdateRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\nimport requests\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n display_name: str = \\\"Update Request\\\"\\n description: str = \\\"Make a PATCH request to the given URL.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n beta: bool = True\\n field_config = {\\n \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n \\\"headers\\\": {\\n \\\"display_name\\\": \\\"Headers\\\",\\n \\\"field_type\\\": \\\"NestedDict\\\",\\n \\\"info\\\": \\\"The headers to send with the request.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n \\\"method\\\": {\\n \\\"display_name\\\": \\\"Method\\\",\\n \\\"field_type\\\": \\\"str\\\",\\n \\\"info\\\": \\\"The HTTP method to use.\\\",\\n \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n \\\"value\\\": \\\"PATCH\\\",\\n },\\n }\\n\\n def update_document(\\n self,\\n session: requests.Session,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n method: str = \\\"PATCH\\\",\\n ) -> Document:\\n try:\\n if method == \\\"PATCH\\\":\\n response = session.patch(url, headers=headers, data=document.page_content)\\n elif method == \\\"PUT\\\":\\n response = session.put(url, headers=headers, data=document.page_content)\\n else:\\n raise ValueError(f\\\"Unsupported method: {method}\\\")\\n try:\\n response_json = response.json()\\n result = orjson_dumps(response_json, indent_2=False)\\n except Exception:\\n result = response.text\\n self.repr_value = result\\n return Document(\\n page_content=result,\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": response.status_code,\\n },\\n )\\n except Exception as exc:\\n return Document(\\n page_content=str(exc),\\n metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n )\\n\\n def build(\\n self,\\n method: str,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n ) -> List[Document]:\\n if headers is None:\\n headers = {}\\n\\n if not isinstance(document, list) and isinstance(document, Document):\\n documents: list[Document] = [document]\\n elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n documents = document\\n else:\\n raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n with requests.Session() as session:\\n documents = [self.update_document(session, doc, url, headers, method) for doc in documents]\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"method\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"Update Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"method\":null,\"url\":null},\"output_types\":[\"UpdateRequest\"],\"field_formatters\":{},\"beta\":true},\"PostRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass PostRequest(CustomComponent):\\n display_name: str = \\\"POST Request\\\"\\n description: str = \\\"Make a POST request to the given URL.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n beta: bool = True\\n field_config = {\\n \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n \\\"headers\\\": {\\n \\\"display_name\\\": \\\"Headers\\\",\\n \\\"info\\\": \\\"The headers to send with the request.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n }\\n\\n def post_document(\\n self,\\n session: requests.Session,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n ) -> Document:\\n try:\\n response = session.post(url, headers=headers, data=document.page_content)\\n try:\\n response_json = response.json()\\n result = orjson_dumps(response_json, indent_2=False)\\n except Exception:\\n result = response.text\\n self.repr_value = result\\n return Document(\\n page_content=result,\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": response,\\n },\\n )\\n except Exception as exc:\\n return Document(\\n page_content=str(exc),\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": 500,\\n },\\n )\\n\\n def build(\\n self,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n ) -> list[Document]:\\n if headers is None:\\n headers = {}\\n\\n if not isinstance(document, list) and isinstance(document, Document):\\n documents: list[Document] = [document]\\n elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n documents = document\\n else:\\n raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n with requests.Session() as session:\\n documents = [self.post_document(session, doc, url, headers) for doc in documents]\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"POST 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"text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create 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LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: 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to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900 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File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n display_name: str = \\\"Directory Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n loaders_info = [\\n {\\n \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"JSONLoader\\\",\\n \\\"name\\\": \\\"JSON (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"json\\\"],\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n },\\n {\\n \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CSVLoader\\\",\\n \\\"name\\\": \\\"CSV (.csv)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n \\\"defaultFor\\\": [\\\"csv\\\"],\\n \\\"allowdTypes\\\": [\\\"csv\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CoNLLULoader\\\",\\n \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n \\\"defaultFor\\\": [\\\"conllu\\\"],\\n \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"EverNoteLoader\\\",\\n \\\"name\\\": \\\"EverNote (.enex)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n \\\"defaultFor\\\": [\\\"enex\\\"],\\n \\\"allowdTypes\\\": [\\\"enex\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n \\\"defaultFor\\\": [\\\"msg\\\"],\\n \\\"allowdTypes\\\": [\\\"msg\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"PyPDFLoader\\\",\\n \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n \\\"defaultFor\\\": [\\\"pdf\\\"],\\n \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"STRLoader\\\",\\n \\\"name\\\": \\\"Subtitle (.str)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n \\\"defaultFor\\\": [\\\"str\\\"],\\n \\\"allowdTypes\\\": [\\\"str\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"TextLoader\\\",\\n \\\"name\\\": \\\"Text (.txt)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n \\\"defaultFor\\\": [\\\"txt\\\"],\\n \\\"allowdTypes\\\": [\\\"txt\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n \\\"defaultFor\\\": [\\\"eml\\\"],\\n \\\"allowdTypes\\\": [\\\"eml\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n \\\"defaultFor\\\": [\\\"md\\\"],\\n \\\"allowdTypes\\\": [\\\"md\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n \\\"defaultFor\\\": [\\\"pptx\\\"],\\n \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n \\\"defaultFor\\\": [\\\"docx\\\"],\\n \\\"allowdTypes\\\": [\\\"docx\\\"],\\n },\\n]\\n\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [\\n loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n ]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in self.loaders_info:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"directory_path\\\": {\\n \\\"display_name\\\": \\\"Directory Path\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n }\\n\\n def build(self, directory_path: str, loader: str) -> Document:\\n # Verifique se o diretório existe\\n if not os.path.exists(directory_path):\\n raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n loader_info = None\\n if loader == \\\"Automatic\\\":\\n for file in files:\\n file_type = file.split(\\\".\\\")[-1]\\n\\n\\n for info in self.loaders_info:\\n if \\\"defaultFor\\\" in info:\\n if file_type in info[\\\"defaultFor\\\"]:\\n loader_info = info\\n break\\n if loader_info:\\n break\\n\\n if not loader_info:\\n raise ValueError(\\n \\\"No default loader found for any file in the directory\\\"\\n )\\n\\n else:\\n for info in self.loaders_info:\\n if info[\\\"name\\\"] == loader:\\n loader_info = info\\n break\\n\\n if not loader_info:\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n loader_import = loader_info[\\\"import\\\"]\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(\\n f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n ) from e\\n\\n results = []\\n for file in files:\\n file_path = os.path.join(directory_path, file)\\n kwargs = loader_info.get(\\\"kwargs\\\", {})\\n result = loader_instance(file_path=file_path, **kwargs).load()\\n results.append(result)\\n self.status = results\\n return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n AgentExecutor,\\n BaseChatMemory,\\n BaseLanguageModel,\\n BaseLLM,\\n BaseLoader,\\n BaseMemory,\\n BaseOutputParser,\\n BasePromptTemplate,\\n BaseRetriever,\\n Callable,\\n Chain,\\n ChatPromptTemplate,\\n Data,\\n Document,\\n Embeddings,\\n NestedDict,\\n Object,\\n PromptTemplate,\\n TextSplitter,\\n Tool,\\n VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n display_name: str = \\\"Whisper Transcriber\\\"\\n description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n def build_config(self):\\n return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n def build(self, audio:str, OpenAIKey:str) -> str:\\n \\n # TODO: if output path, persist & load it instead\\n \\n client = OpenAI(api_key=OpenAIKey)\\n \\n audio_file= open(audio, \\\"rb\\\")\\n transcript = client.audio.transcriptions.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file,\\n response_format=\\\"text\\\"\\n )\\n \\n \\n self.status = transcript\\n return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"YouTube Transcript\\\"\\n description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n def build_config(self):\\n return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n dependencies\\n response = requests.get(url)\\n loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n result = loader.load()\\n self.repr_value = str(result)\\n return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"PIP Install\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n\\n def build(self, libs: List[str]) -> Document:\\n def install_package(package_name):\\n subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n for lib in libs:\\n install_package(lib)\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser 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Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input 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requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown 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{\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A 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Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL 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PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return 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(1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per 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string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per 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Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and 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files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your 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