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langflow/tests/data/basic_example.json
Ibis Prevedello 23b50d31d2 refac: fix tool name for test
2023-04-03 17:00:17 -03:00

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{
"name": "New Flow ",
"id": "0",
"data": {
"nodes": [
{
"width": 384,
"height": 391,
"id": "dndnode_1",
"type": "genericNode",
"position": {
"x": 644,
"y": 348
},
"data": {
"type": "LLMChain",
"node": {
"template": {
"_type": "llm_chain",
"memory": {
"type": "BaseMemory",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"password": false,
"multiline": false,
"value": null
},
"verbose": {
"type": "bool",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": false
},
"prompt": {
"type": "BasePromptTemplate",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"password": false,
"multiline": false
},
"llm": {
"type": "BaseLanguageModel",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"password": false,
"multiline": false
},
"output_key": {
"type": "str",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": true,
"multiline": false,
"value": "text"
}
},
"description": "Chain to run queries against LLMs.",
"base_classes": [
"Chain"
]
},
"id": "dndnode_1",
"value": null
},
"positionAbsolute": {
"x": 644,
"y": 348
}
},
{
"width": 384,
"height": 351,
"id": "dndnode_4",
"type": "genericNode",
"position": {
"x": 1236,
"y": 39.59999999999957
},
"data": {
"type": "ZeroShotAgent",
"node": {
"template": {
"_type": "zero-shot-react-description",
"llm_chain": {
"type": "LLMChain",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"password": false,
"multiline": false
},
"allowed_tools": {
"type": "Tool",
"required": false,
"placeholder": "",
"list": true,
"show": true,
"password": false,
"multiline": false,
"value": null
},
"return_values": {
"type": "str",
"required": false,
"placeholder": "",
"list": true,
"show": false,
"password": false,
"multiline": false,
"value": [
"output"
]
}
},
"description": "Agent for the MRKL chain.",
"base_classes": [
"Agent"
]
},
"id": "dndnode_4",
"value": null
},
"positionAbsolute": {
"x": 1236,
"y": 39.59999999999957
}
},
{
"width": 384,
"height": 529,
"id": "dndnode_5",
"type": "genericNode",
"position": {
"x": 96,
"y": -299.2000000000003
},
"data": {
"type": "ZeroShotPrompt",
"node": {
"template": {
"_type": "zero_shot",
"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:"
},
"suffix": {
"type": "str",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "Begin!\n\nQuestion: {input}\nThought:{agent_scratchpad}"
},
"format_instructions": {
"type": "str",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"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"
}
},
"description": "Prompt template for Zero Shot Agent.",
"base_classes": [
"BasePromptTemplate"
]
},
"id": "dndnode_5",
"value": null
},
"selected": false,
"positionAbsolute": {
"x": 96,
"y": -299.2000000000003
},
"dragging": false
},
{
"width": 384,
"height": 477,
"id": "dndnode_8",
"type": "genericNode",
"position": {
"x": 75,
"y": 328
},
"data": {
"type": "OpenAI",
"node": {
"template": {
"_type": "openai",
"cache": {
"type": "bool",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": null
},
"verbose": {
"type": "bool",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": null
},
"client": {
"type": "Any",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": null
},
"model_name": {
"type": "str",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"password": false,
"multiline": false,
"value": "text-davinci-003",
"options": [
"text-davinci-003",
"text-davinci-002"
]
},
"temperature": {
"type": "float",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"password": false,
"multiline": false,
"value": 0.7
},
"max_tokens": {
"type": "int",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": true,
"multiline": false,
"value": 256
},
"top_p": {
"type": "float",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 1
},
"frequency_penalty": {
"type": "float",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 0
},
"presence_penalty": {
"type": "float",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 0
},
"n": {
"type": "int",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 1
},
"best_of": {
"type": "int",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 1
},
"model_kwargs": {
"type": "dict[str, Any]",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": null
},
"openai_api_key": {
"type": "str",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"password": true,
"multiline": false,
"value": "sk-"
},
"batch_size": {
"type": "int",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 20
},
"request_timeout": {
"type": "Union[float, Tuple[float, float], NoneType]",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": null
},
"logit_bias": {
"type": "dict[str, float]",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": null
},
"max_retries": {
"type": "int",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": 6
},
"streaming": {
"type": "bool",
"required": false,
"placeholder": "",
"list": false,
"show": false,
"password": false,
"multiline": false,
"value": false
}
},
"description": "Generic OpenAI class that uses model name.",
"base_classes": [
"BaseOpenAI",
"BaseLLM",
"BaseLanguageModel"
]
},
"id": "dndnode_8",
"value": null
},
"selected": false,
"positionAbsolute": {
"x": 75,
"y": 328
},
"dragging": false
},
{
"width": 384,
"height": 397,
"id": "dndnode_9",
"type": "genericNode",
"position": {
"x": 643,
"y": 824
},
"data": {
"type": "Serper Search",
"node": {
"template": {
"serper_api_key": {
"type": "str",
"required": true,
"list": false,
"show": true,
"placeholder": "",
"value": "---"
},
"_type": "Serper Search"
},
"name": "Serper Search",
"description": "A low-cost Google Search API. Useful for when you need to answer questions about current events. Input should be a search query.",
"base_classes": [
"Tool"
]
},
"id": "dndnode_9",
"value": null
},
"selected": true,
"positionAbsolute": {
"x": 643,
"y": 824
},
"dragging": false
}
],
"edges": [
{
"source": "dndnode_5",
"sourceHandle": "ZeroShotPrompt|dndnode_5|BasePromptTemplate",
"target": "dndnode_1",
"targetHandle": "BasePromptTemplate|prompt|dndnode_1",
"className": "animate-pulse",
"id": "reactflow__edge-dndnode_5ZeroShotPrompt|dndnode_5|BasePromptTemplate-dndnode_1BasePromptTemplate|prompt|dndnode_1"
},
{
"source": "dndnode_1",
"sourceHandle": "LLMChain|dndnode_1|Chain",
"target": "dndnode_4",
"targetHandle": "LLMChain|llm_chain|dndnode_4",
"className": "animate-pulse",
"id": "reactflow__edge-dndnode_1LLMChain|dndnode_1|Chain-dndnode_4LLMChain|llm_chain|dndnode_4"
},
{
"source": "dndnode_8",
"sourceHandle": "OpenAI|dndnode_8|BaseOpenAI|BaseLLM|BaseLanguageModel",
"target": "dndnode_1",
"targetHandle": "BaseLanguageModel|llm|dndnode_1",
"className": "animate-pulse",
"id": "reactflow__edge-dndnode_8OpenAI|dndnode_8|BaseOpenAI|BaseLLM|BaseLanguageModel-dndnode_1BaseLanguageModel|llm|dndnode_1"
},
{
"source": "dndnode_9",
"sourceHandle": "Serper Search|dndnode_9|Tool",
"target": "dndnode_4",
"targetHandle": "Tool|allowed_tools|dndnode_4",
"className": "animate-pulse",
"id": "reactflow__edge-dndnode_9Serper Search|dndnode_9|Tool-dndnode_4Tool|allowed_tools|dndnode_4"
}
],
"viewport": {
"x": 22.5,
"y": 42,
"zoom": 0.5
}
},
"chat": [
{
"message": "Langflow. What is it?",
"isSend": true
},
{
"message": "Langflow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chrome extension powered by GPT-3.",
"isSend": false,
"thought": "> Entering new AgentExecutor chain...\n I need to research what Langflow is.\nAction: Serper Search\nAction Input: \"What is Langflow?\"\nObservation: Researchers introduce LangFlow, a graphical user interface (GUI) for LangChain that simplifies testing and creation of smart applications. The drag-and-drop feature provides a quick and effortless way to experiment and prototype, and the built-in chat interface enables real-time ... LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop ... LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a ... an open-source chrome extension powered by GPT-3 to get the explanation of a piece of code on any site (Stackoverflow, Github, etc). ChatGPT correctly identified Mona Lisa but failed to guess the cartoon character Michael was thinking of, suggesting Bugs Bunny holding a ... Introducing LangFlow! An open-source UI for. @LangChainAI. that enables seamless combination of multiple deep learning models to perform ... See student reviews, school photos, Chinese Mandarin courses, and housing options available at Langflow Education Centre (Macau, Macau) - Reviews - Language ... Longfellow Elementary students play on the playground during recess. Longfellow Elementary students pause for a photo during class.\nThought: Langflow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chrome extension powered by GPT-3.\nFinal Answer: Langflow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chrome extension powered by GPT-3.\n\n> Finished chain."
}
]
}
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