08b13df4a4* removed unused console.log * make temp_file default as true on inputfilecomponent to not use new File when using old flow * Fixed Simple Agent starter project * format simple agent template * fixed text sentiment analysis test * Fixed other starter projects that used File input * updated test to have more timeout --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
1906 lines
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101 KiB
JSON
1906 lines
No EOL
101 KiB
JSON
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"value": "import asyncio\nimport json\nimport re\n\nimport aiohttp\nfrom langchain_community.document_loaders import AsyncHtmlLoader, WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, DropdownInput, MessageTextInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.dataframe import DataFrame\nfrom langflow.schema.message import Message\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = (\n \"Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, \"\n \"or JSON, with options for cleaning and separating multiple outputs.\"\n )\n icon = \"layout-template\"\n name = \"URL\"\n\n inputs = [\n MessageTextInput(\n name=\"urls\",\n display_name=\"URLs\",\n is_list=True,\n tool_mode=True,\n placeholder=\"Enter a URL...\",\n list_add_label=\"Add URL\",\n ),\n DropdownInput(\n name=\"format\",\n display_name=\"Output Format\",\n info=(\n \"Output Format. Use 'Text' to extract text from the HTML, 'Raw HTML' for the raw HTML \"\n \"content, or 'JSON' to extract JSON from the HTML.\"\n ),\n options=[\"Text\", \"Raw HTML\", \"JSON\"],\n value=\"Text\",\n real_time_refresh=True,\n ),\n StrInput(\n name=\"separator\",\n display_name=\"Separator\",\n value=\"\\n\\n\",\n show=True,\n info=(\n \"Specify the separator to use between multiple outputs. Default for Text is '\\\\n\\\\n'. \"\n \"Default for Raw HTML is '\\\\n<!-- Separator -->\\\\n'.\"\n ),\n ),\n BoolInput(\n name=\"clean_extra_whitespace\",\n display_name=\"Clean Extra Whitespace\",\n value=True,\n show=True,\n info=\"Whether to clean excessive blank lines in the text output. Only applies to 'Text' format.\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n Output(display_name=\"Text\", name=\"text\", method=\"fetch_content_text\"),\n Output(display_name=\"DataFrame\", name=\"dataframe\", method=\"as_dataframe\"),\n ]\n\n async def validate_json_content(self, url: str) -> bool:\n \"\"\"Validates if the URL content is actually JSON.\"\"\"\n try:\n async with aiohttp.ClientSession() as session, session.get(url) as response:\n http_ok = 200\n if response.status != http_ok:\n return False\n\n content = await response.text()\n try:\n json.loads(content)\n except json.JSONDecodeError:\n return False\n else:\n return True\n except (aiohttp.ClientError, asyncio.TimeoutError):\n # Log specific error for debugging if needed\n return False\n\n def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None) -> dict:\n \"\"\"Dynamically update fields based on selected format.\"\"\"\n if field_name == \"format\":\n is_text_mode = field_value == \"Text\"\n is_json_mode = field_value == \"JSON\"\n build_config[\"separator\"][\"value\"] = \"\\n\\n\" if is_text_mode else \"\\n<!-- Separator -->\\n\"\n build_config[\"clean_extra_whitespace\"][\"show\"] = is_text_mode\n build_config[\"separator\"][\"show\"] = not is_json_mode\n return build_config\n\n def ensure_url(self, string: str) -> str:\n \"\"\"Ensures the given string is a valid URL.\"\"\"\n if not string.startswith((\"http://\", \"https://\")):\n string = \"http://\" + string\n\n url_regex = re.compile(\n r\"^(https?:\\/\\/)?\"\n r\"(www\\.)?\"\n r\"([a-zA-Z0-9.-]+)\"\n r\"(\\.[a-zA-Z]{2,})?\"\n r\"(:\\d+)?\"\n r\"(\\/[^\\s]*)?$\",\n re.IGNORECASE,\n )\n\n error_msg = \"Invalid URL - \" + string\n if not url_regex.match(string):\n raise ValueError(error_msg)\n\n return string\n\n def fetch_content(self) -> list[Data]:\n \"\"\"Fetch content based on selected format.\"\"\"\n urls = list({self.ensure_url(url.strip()) for url in self.urls if url.strip()})\n\n no_urls_msg = \"No valid URLs provided.\"\n if not urls:\n raise ValueError(no_urls_msg)\n\n # If JSON format is selected, validate JSON content first\n if self.format == \"JSON\":\n for url in urls:\n is_json = asyncio.run(self.validate_json_content(url))\n if not is_json:\n error_msg = \"Invalid JSON content from URL - \" + url\n raise ValueError(error_msg)\n\n if self.format == \"Raw HTML\":\n loader = AsyncHtmlLoader(web_path=urls, encoding=\"utf-8\")\n else:\n loader = WebBaseLoader(web_paths=urls, encoding=\"utf-8\")\n\n docs = loader.load()\n\n if self.format == \"JSON\":\n data = []\n for doc in docs:\n try:\n json_content = json.loads(doc.page_content)\n data_dict = {\"text\": json.dumps(json_content, indent=2), **json_content, **doc.metadata}\n data.append(Data(**data_dict))\n except json.JSONDecodeError as err:\n source = doc.metadata.get(\"source\", \"unknown URL\")\n error_msg = \"Invalid JSON content from \" + source\n raise ValueError(error_msg) from err\n return data\n\n return [Data(text=doc.page_content, **doc.metadata) for doc in docs]\n\n def fetch_content_text(self) -> Message:\n \"\"\"Fetch content and return as formatted text.\"\"\"\n data = self.fetch_content()\n\n if self.format == \"JSON\":\n text_list = [item.text for item in data]\n result = \"\\n\".join(text_list)\n else:\n text_list = [item.text for item in data]\n if self.format == \"Text\" and self.clean_extra_whitespace:\n text_list = [re.sub(r\"\\n{3,}\", \"\\n\\n\", text) for text in text_list]\n result = self.separator.join(text_list)\n\n self.status = result\n return Message(text=result)\n\n def as_dataframe(self) -> DataFrame:\n \"\"\"Return fetched content as a DataFrame.\"\"\"\n return DataFrame(self.fetch_content())\n"
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},
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"format": {
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"_input_type": "DropdownInput",
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"advanced": false,
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"combobox": false,
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"dialog_inputs": {},
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"display_name": "Output Format",
|
|
"dynamic": false,
|
|
"info": "Output Format. Use 'Text' to extract text from the HTML, 'Raw HTML' for the raw HTML content, or 'JSON' to extract JSON from the HTML.",
|
|
"name": "format",
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"options": [
|
|
"Text",
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"Raw HTML",
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|
"JSON"
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],
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"options_metadata": [],
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"placeholder": "",
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"real_time_refresh": true,
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_metadata": true,
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"type": "str",
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"value": "Text"
|
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},
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"separator": {
|
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"_input_type": "StrInput",
|
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"advanced": false,
|
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"display_name": "Separator",
|
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"dynamic": false,
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"info": "Specify the separator to use between multiple outputs. Default for Text is '\\n\\n'. Default for Raw HTML is '\\n<!-- Separator -->\\n'.",
|
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"list": false,
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"list_add_label": "Add More",
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"load_from_db": false,
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"name": "separator",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_metadata": true,
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"type": "str",
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"value": "\n\n"
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},
|
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"tools_metadata": {
|
|
"_input_type": "ToolsInput",
|
|
"advanced": false,
|
|
"display_name": "Actions",
|
|
"dynamic": false,
|
|
"info": "Modify tool names and descriptions to help agents understand when to use each tool.",
|
|
"is_list": true,
|
|
"list_add_label": "Add More",
|
|
"name": "tools_metadata",
|
|
"placeholder": "",
|
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"real_time_refresh": true,
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
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"tool_mode": false,
|
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"trace_as_metadata": true,
|
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"type": "tools",
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"value": [
|
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{
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"args": {
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"urls": {
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"default": "",
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"description": "",
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"items": {
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"type": "string"
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},
|
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"title": "Urls",
|
|
"type": "array"
|
|
}
|
|
},
|
|
"description": "URL. fetch_content() - Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, or JSON, with options for cleaning and separating multiple outputs.",
|
|
"display_description": "URL. fetch_content() - Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, or JSON, with options for cleaning and separating multiple outputs.",
|
|
"display_name": "fetch_content",
|
|
"name": "fetch_content",
|
|
"status": true,
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|
"tags": [
|
|
"fetch_content"
|
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]
|
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},
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{
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"args": {
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"urls": {
|
|
"default": "",
|
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"description": "",
|
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"items": {
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"type": "string"
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},
|
|
"title": "Urls",
|
|
"type": "array"
|
|
}
|
|
},
|
|
"description": "URL. fetch_content_text() - Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, or JSON, with options for cleaning and separating multiple outputs.",
|
|
"display_description": "URL. fetch_content_text() - Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, or JSON, with options for cleaning and separating multiple outputs.",
|
|
"display_name": "fetch_content_text",
|
|
"name": "fetch_content_text",
|
|
"status": true,
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|
"tags": [
|
|
"fetch_content_text"
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]
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},
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{
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"args": {
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"urls": {
|
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"default": "",
|
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"description": "",
|
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"items": {
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"type": "string"
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|
},
|
|
"title": "Urls",
|
|
"type": "array"
|
|
}
|
|
},
|
|
"description": "URL. as_dataframe() - Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, or JSON, with options for cleaning and separating multiple outputs.",
|
|
"display_description": "URL. as_dataframe() - Load and retrieve data from specified URLs. Supports output in plain text, raw HTML, or JSON, with options for cleaning and separating multiple outputs.",
|
|
"display_name": "as_dataframe",
|
|
"name": "as_dataframe",
|
|
"status": true,
|
|
"tags": [
|
|
"as_dataframe"
|
|
]
|
|
}
|
|
]
|
|
},
|
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"urls": {
|
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"_input_type": "MessageTextInput",
|
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"advanced": false,
|
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"display_name": "URLs",
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"dynamic": false,
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"info": "",
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"input_types": [
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],
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"list": true,
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"list_add_label": "Add URL",
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"load_from_db": false,
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"name": "urls",
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"placeholder": "Enter a URL...",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": true,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
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}
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},
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"tool_mode": true
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},
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"type": "URL"
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},
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"dragging": false,
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"id": "URL-o7GEq",
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"measured": {
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"height": 523,
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"width": 320
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},
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"position": {
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"x": 1236.8269016193576,
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"y": -173.8644169438124
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},
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"selected": false,
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"type": "genericNode"
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},
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{
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"data": {
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"id": "note-wtgw9",
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"description": "# 📖 README\nRun an Agent with URL and Calculator tools available for its use. \nThe Agent decides which tool to use to solve a problem.\n## Quick start\n\n1. Add your OpenAI API key to the Agent.\n2. Open the Playground and chat with the Agent. Request some information about a recipe, and then ask to add two numbers together. In the responses, the Agent will use different tools to solve different problems.\n\n## Next steps\nConnect more tools to the Agent to create your perfect assistant.\n\nFor more, see the [Langflow docs](https://docs.langflow.org/agents-tool-calling-agent-component).",
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"display_name": "",
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"documentation": "",
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"template": {
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"backgroundColor": "neutral"
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"dragging": false,
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"id": "note-wtgw9",
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"description": "### 💡 Add your OpenAI API key here👇",
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"documentation": "",
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"data": {
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"id": "CalculatorComponent-15FSE",
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"node": {
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"base_classes": [
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"Data"
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],
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"beta": false,
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"category": "tools",
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"conditional_paths": [],
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"custom_fields": {},
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"description": "Perform basic arithmetic operations on a given expression.",
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"display_name": "Calculator",
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"field_order": [
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"expression"
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],
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"icon": "calculator",
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"metadata": {},
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{
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"cache": true,
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"name": "component_as_tool",
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"options": null,
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"template": {
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"_type": "Component",
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"code": {
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"advanced": true,
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"value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom langflow.custom import Component\nfrom langflow.inputs import MessageTextInput\nfrom langflow.io import Output\nfrom langflow.schema import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n"
|
|
},
|
|
"expression": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": false,
|
|
"display_name": "Expression",
|
|
"dynamic": false,
|
|
"info": "The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').",
|
|
"input_types": [
|
|
"Message"
|
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],
|
|
"list": false,
|
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"list_add_label": "Add More",
|
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"load_from_db": false,
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"name": "expression",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": true,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
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},
|
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"tools_metadata": {
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"_input_type": "ToolsInput",
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"advanced": false,
|
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"display_name": "Actions",
|
|
"dynamic": false,
|
|
"info": "Modify tool names and descriptions to help agents understand when to use each tool.",
|
|
"is_list": true,
|
|
"list_add_label": "Add More",
|
|
"name": "tools_metadata",
|
|
"placeholder": "",
|
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"real_time_refresh": true,
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"required": false,
|
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_metadata": true,
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"type": "tools",
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"value": [
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{
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"args": {
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"expression": {
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"default": "",
|
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"description": "The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').",
|
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"title": "Expression",
|
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"type": "string"
|
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}
|
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},
|
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"description": "CalculatorComponent. evaluate_expression() - Perform basic arithmetic operations on a given expression.",
|
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"display_description": "CalculatorComponent. evaluate_expression() - Perform basic arithmetic operations on a given expression.",
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"display_name": "evaluate_expression",
|
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"name": "evaluate_expression",
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"status": true,
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"tags": [
|
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"evaluate_expression"
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]
|
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}
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]
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}
|
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},
|
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"tool_mode": true
|
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},
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"showNode": true,
|
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"type": "CalculatorComponent"
|
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},
|
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"dragging": false,
|
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"id": "CalculatorComponent-15FSE",
|
|
"measured": {
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"height": 248,
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"width": 320
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},
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"position": {
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"x": 1233.166256931297,
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"y": 514.7544001650839
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},
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"selected": false,
|
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"type": "genericNode"
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},
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{
|
|
"data": {
|
|
"id": "ChatInput-2YUmA",
|
|
"node": {
|
|
"base_classes": [
|
|
"Message"
|
|
],
|
|
"beta": false,
|
|
"category": "inputs",
|
|
"conditional_paths": [],
|
|
"custom_fields": {},
|
|
"description": "Get chat inputs from the Playground.",
|
|
"display_name": "Chat Input",
|
|
"documentation": "",
|
|
"edited": false,
|
|
"field_order": [
|
|
"input_value",
|
|
"should_store_message",
|
|
"sender",
|
|
"sender_name",
|
|
"session_id",
|
|
"files",
|
|
"background_color",
|
|
"chat_icon",
|
|
"text_color"
|
|
],
|
|
"frozen": false,
|
|
"icon": "MessagesSquare",
|
|
"key": "ChatInput",
|
|
"legacy": false,
|
|
"metadata": {},
|
|
"minimized": true,
|
|
"output_types": [],
|
|
"outputs": [
|
|
{
|
|
"allows_loop": false,
|
|
"cache": true,
|
|
"display_name": "Message",
|
|
"method": "message_response",
|
|
"name": "message",
|
|
"selected": "Message",
|
|
"tool_mode": true,
|
|
"types": [
|
|
"Message"
|
|
],
|
|
"value": "__UNDEFINED__"
|
|
}
|
|
],
|
|
"pinned": false,
|
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"score": 0.0020353564437605998,
|
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"template": {
|
|
"_type": "Component",
|
|
"background_color": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Background Color",
|
|
"dynamic": false,
|
|
"info": "The background color of the icon.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "background_color",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"chat_icon": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Icon",
|
|
"dynamic": false,
|
|
"info": "The icon of the message.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "chat_icon",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"code": {
|
|
"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"file_path": "",
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n minimized = True\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n input_types=[],\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n temp_file=True,\n ),\n MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n async def message_response(self) -> Message:\n background_color = self.background_color\n text_color = self.text_color\n icon = self.chat_icon\n\n message = await Message.create(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n properties={\n \"background_color\": background_color,\n \"text_color\": text_color,\n \"icon\": icon,\n },\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n"
|
|
},
|
|
"files": {
|
|
"_input_type": "FileInput",
|
|
"advanced": true,
|
|
"display_name": "Files",
|
|
"dynamic": false,
|
|
"fileTypes": [
|
|
"txt",
|
|
"md",
|
|
"mdx",
|
|
"csv",
|
|
"json",
|
|
"yaml",
|
|
"yml",
|
|
"xml",
|
|
"html",
|
|
"htm",
|
|
"pdf",
|
|
"docx",
|
|
"py",
|
|
"sh",
|
|
"sql",
|
|
"js",
|
|
"ts",
|
|
"tsx",
|
|
"jpg",
|
|
"jpeg",
|
|
"png",
|
|
"bmp",
|
|
"image"
|
|
],
|
|
"file_path": "",
|
|
"info": "Files to be sent with the message.",
|
|
"list": true,
|
|
"list_add_label": "Add More",
|
|
"name": "files",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"temp_file": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "file",
|
|
"value": ""
|
|
},
|
|
"input_value": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": false,
|
|
"copy_field": false,
|
|
"display_name": "Text",
|
|
"dynamic": false,
|
|
"info": "Message to be passed as input.",
|
|
"input_types": [],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "input_value",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"sender": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"dialog_inputs": {},
|
|
"display_name": "Sender Type",
|
|
"dynamic": false,
|
|
"info": "Type of sender.",
|
|
"name": "sender",
|
|
"options": [
|
|
"Machine",
|
|
"User"
|
|
],
|
|
"options_metadata": [],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "User"
|
|
},
|
|
"sender_name": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Sender Name",
|
|
"dynamic": false,
|
|
"info": "Name of the sender.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "sender_name",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "User"
|
|
},
|
|
"session_id": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Session ID",
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "session_id",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"should_store_message": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Store Messages",
|
|
"dynamic": false,
|
|
"info": "Store the message in the history.",
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"list": false,
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"list_add_label": "Add More",
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"name": "should_store_message",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_metadata": true,
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"type": "bool",
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"value": true
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},
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"text_color": {
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"_input_type": "MessageTextInput",
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"advanced": true,
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"display_name": "Text Color",
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"dynamic": false,
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"info": "The text color of the name",
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"input_types": [
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|
"Message"
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],
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"list": false,
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"list_add_label": "Add More",
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"load_from_db": false,
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"name": "text_color",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
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}
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},
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"tool_mode": false
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},
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"showNode": false,
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"type": "ChatInput"
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},
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"dragging": false,
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"id": "ChatInput-2YUmA",
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"measured": {
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"height": 66,
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"width": 192
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},
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"position": {
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"x": 1235.4222740043401,
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"selected": false,
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"type": "genericNode"
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},
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"data": {
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"id": "ChatOutput-aHj8n",
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"node": {
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"base_classes": [
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"Message"
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],
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"beta": false,
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"category": "outputs",
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"conditional_paths": [],
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"custom_fields": {},
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"description": "Display a chat message in the Playground.",
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"display_name": "Chat Output",
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"documentation": "",
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"edited": false,
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"field_order": [
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"input_value",
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"should_store_message",
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"sender",
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"sender_name",
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"session_id",
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"data_template",
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"background_color",
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"chat_icon",
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"text_color",
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"clean_data"
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],
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"frozen": false,
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"icon": "MessagesSquare",
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"key": "ChatOutput",
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"legacy": false,
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"metadata": {},
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"minimized": true,
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"output_types": [],
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"outputs": [
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{
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"allows_loop": false,
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"cache": true,
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"display_name": "Message",
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"method": "message_response",
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"name": "message",
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"selected": "Message",
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"tool_mode": true,
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"types": [
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"Message"
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],
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"value": "__UNDEFINED__"
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}
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],
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"pinned": false,
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"score": 0.003169567463043492,
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"template": {
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"_type": "Component",
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"background_color": {
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"_input_type": "MessageTextInput",
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"advanced": true,
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"display_name": "Background Color",
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"dynamic": false,
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"info": "The background color of the icon.",
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"input_types": [
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"Message"
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],
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"list": false,
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"list_add_label": "Add More",
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"load_from_db": false,
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"name": "background_color",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
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},
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"chat_icon": {
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"_input_type": "MessageTextInput",
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"advanced": true,
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"display_name": "Icon",
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"dynamic": false,
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"info": "The icon of the message.",
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"input_types": [
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"Message"
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],
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"list": false,
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"list_add_label": "Add More",
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"load_from_db": false,
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"name": "chat_icon",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
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},
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"clean_data": {
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"_input_type": "BoolInput",
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"advanced": true,
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"display_name": "Basic Clean Data",
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"dynamic": false,
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"info": "Whether to clean the data",
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"list": false,
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"list_add_label": "Add More",
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"name": "clean_data",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_metadata": true,
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"type": "bool",
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"value": true
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},
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"code": {
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"advanced": true,
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"dynamic": true,
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"fileTypes": [],
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"file_path": "",
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"info": "",
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"list": false,
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"load_from_db": false,
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"multiline": true,
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"name": "code",
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"password": false,
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"placeholder": "",
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"required": true,
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"show": true,
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"title_case": false,
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"type": "code",
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|
"value": "from collections.abc import Generator\nfrom typing import Any\n\nimport orjson\nfrom fastapi.encoders import jsonable_encoder\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.inputs.inputs import HandleInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.data import Data\nfrom langflow.schema.dataframe import DataFrame\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n HandleInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n input_types=[\"Data\", \"DataFrame\", \"Message\"],\n required=True,\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n BoolInput(\n name=\"clean_data\",\n display_name=\"Basic Clean Data\",\n value=True,\n info=\"Whether to clean the data\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n # Handle case where source is a ChatOpenAI object\n if hasattr(source, \"model_name\"):\n source_dict[\"source\"] = source.model_name\n elif hasattr(source, \"model\"):\n source_dict[\"source\"] = str(source.model)\n else:\n source_dict[\"source\"] = str(source)\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n # First convert the input to string if needed\n text = self.convert_to_string()\n\n # Get source properties\n source, icon, display_name, source_id = self.get_properties_from_source_component()\n background_color = self.background_color\n text_color = self.text_color\n if self.chat_icon:\n icon = self.chat_icon\n\n # Create or use existing Message object\n if isinstance(self.input_value, Message):\n message = self.input_value\n # Update message properties\n message.text = text\n else:\n message = Message(text=text)\n\n # Set message properties\n message.sender = self.sender\n message.sender_name = self.sender_name\n message.session_id = self.session_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n message.properties.icon = icon\n message.properties.background_color = background_color\n message.properties.text_color = text_color\n\n # Store message if needed\n if self.session_id and self.should_store_message:\n stored_message = await self.send_message(message)\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n\n def _validate_input(self) -> None:\n \"\"\"Validate the input data and raise ValueError if invalid.\"\"\"\n if self.input_value is None:\n msg = \"Input data cannot be None\"\n raise ValueError(msg)\n if isinstance(self.input_value, list) and not all(\n isinstance(item, Message | Data | DataFrame | str) for item in self.input_value\n ):\n invalid_types = [\n type(item).__name__\n for item in self.input_value\n if not isinstance(item, Message | Data | DataFrame | str)\n ]\n msg = f\"Expected Data or DataFrame or Message or str, got {invalid_types}\"\n raise TypeError(msg)\n if not isinstance(\n self.input_value,\n Message | Data | DataFrame | str | list | Generator | type(None),\n ):\n type_name = type(self.input_value).__name__\n msg = f\"Expected Data or DataFrame or Message or str, Generator or None, got {type_name}\"\n raise TypeError(msg)\n\n def _serialize_data(self, data: Data) -> str:\n \"\"\"Serialize Data object to JSON string.\"\"\"\n # Convert data.data to JSON-serializable format\n serializable_data = jsonable_encoder(data.data)\n # Serialize with orjson, enabling pretty printing with indentation\n json_bytes = orjson.dumps(serializable_data, option=orjson.OPT_INDENT_2)\n # Convert bytes to string and wrap in Markdown code blocks\n return \"```json\\n\" + json_bytes.decode(\"utf-8\") + \"\\n```\"\n\n def _safe_convert(self, data: Any) -> str:\n \"\"\"Safely convert input data to string.\"\"\"\n try:\n if isinstance(data, str):\n return data\n if isinstance(data, Message):\n return data.get_text()\n if isinstance(data, Data):\n return self._serialize_data(data)\n if isinstance(data, DataFrame):\n if self.clean_data:\n # Remove empty rows\n data = data.dropna(how=\"all\")\n # Remove empty lines in each cell\n data = data.replace(r\"^\\s*$\", \"\", regex=True)\n # Replace multiple newlines with a single newline\n data = data.replace(r\"\\n+\", \"\\n\", regex=True)\n\n # Replace pipe characters to avoid markdown table issues\n processed_data = data.replace(r\"\\|\", r\"\\\\|\", regex=True)\n\n processed_data = processed_data.map(\n lambda x: str(x).replace(\"\\n\", \"<br/>\") if isinstance(x, str) else x\n )\n\n return processed_data.to_markdown(index=False)\n return str(data)\n except (ValueError, TypeError, AttributeError) as e:\n msg = f\"Error converting data: {e!s}\"\n raise ValueError(msg) from e\n\n def convert_to_string(self) -> str | Generator[Any, None, None]:\n \"\"\"Convert input data to string with proper error handling.\"\"\"\n self._validate_input()\n if isinstance(self.input_value, list):\n return \"\\n\".join([self._safe_convert(item) for item in self.input_value])\n if isinstance(self.input_value, Generator):\n return self.input_value\n return self._safe_convert(self.input_value)\n"
|
|
},
|
|
"data_template": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Data Template",
|
|
"dynamic": false,
|
|
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "data_template",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
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|
"title_case": false,
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|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "{text}"
|
|
},
|
|
"input_value": {
|
|
"_input_type": "HandleInput",
|
|
"advanced": false,
|
|
"display_name": "Text",
|
|
"dynamic": false,
|
|
"info": "Message to be passed as output.",
|
|
"input_types": [
|
|
"Data",
|
|
"DataFrame",
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "input_value",
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "other",
|
|
"value": ""
|
|
},
|
|
"sender": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"dialog_inputs": {},
|
|
"display_name": "Sender Type",
|
|
"dynamic": false,
|
|
"info": "Type of sender.",
|
|
"name": "sender",
|
|
"options": [
|
|
"Machine",
|
|
"User"
|
|
],
|
|
"options_metadata": [],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Machine"
|
|
},
|
|
"sender_name": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Sender Name",
|
|
"dynamic": false,
|
|
"info": "Name of the sender.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "sender_name",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "AI"
|
|
},
|
|
"session_id": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Session ID",
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "session_id",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
|
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"value": ""
|
|
},
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|
"should_store_message": {
|
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"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Store Messages",
|
|
"dynamic": false,
|
|
"info": "Store the message in the history.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "should_store_message",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
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"tool_mode": false,
|
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"trace_as_metadata": true,
|
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"type": "bool",
|
|
"value": true
|
|
},
|
|
"text_color": {
|
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"_input_type": "MessageTextInput",
|
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"advanced": true,
|
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"display_name": "Text Color",
|
|
"dynamic": false,
|
|
"info": "The text color of the name",
|
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"input_types": [
|
|
"Message"
|
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],
|
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"list": false,
|
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"list_add_label": "Add More",
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"load_from_db": false,
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"name": "text_color",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
|
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}
|
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},
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"tool_mode": false
|
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},
|
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"showNode": false,
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"type": "ChatOutput"
|
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},
|
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"id": "ChatOutput-aHj8n",
|
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"measured": {
|
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},
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"position": {
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"type": "genericNode"
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},
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{
|
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"data": {
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"id": "Agent-qYZ9W",
|
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"node": {
|
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"base_classes": [
|
|
"Message"
|
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],
|
|
"beta": false,
|
|
"category": "agents",
|
|
"conditional_paths": [],
|
|
"custom_fields": {},
|
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"description": "Define the agent's instructions, then enter a task to complete using tools.",
|
|
"display_name": "Agent",
|
|
"documentation": "",
|
|
"edited": false,
|
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"field_order": [
|
|
"agent_llm",
|
|
"max_tokens",
|
|
"model_kwargs",
|
|
"json_mode",
|
|
"model_name",
|
|
"openai_api_base",
|
|
"api_key",
|
|
"temperature",
|
|
"seed",
|
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"max_retries",
|
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"timeout",
|
|
"system_prompt",
|
|
"tools",
|
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"input_value",
|
|
"handle_parsing_errors",
|
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"verbose",
|
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"max_iterations",
|
|
"agent_description",
|
|
"memory",
|
|
"sender",
|
|
"sender_name",
|
|
"n_messages",
|
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"session_id",
|
|
"order",
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"template",
|
|
"add_current_date_tool"
|
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],
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"frozen": false,
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"icon": "bot",
|
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"key": "Agent",
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"legacy": false,
|
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"metadata": {},
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"minimized": false,
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"output_types": [],
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"outputs": [
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{
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"allows_loop": false,
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"cache": true,
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"display_name": "Response",
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"method": "message_response",
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"name": "response",
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"selected": "Message",
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"tool_mode": true,
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"types": [
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"Message"
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],
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"value": "__UNDEFINED__"
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}
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],
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"pinned": false,
|
|
"score": 1.1732828199964098e-19,
|
|
"template": {
|
|
"_type": "Component",
|
|
"add_current_date_tool": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Current Date",
|
|
"dynamic": false,
|
|
"info": "If true, will add a tool to the agent that returns the current date.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "add_current_date_tool",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
},
|
|
"agent_description": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": true,
|
|
"copy_field": false,
|
|
"display_name": "Agent Description [Deprecated]",
|
|
"dynamic": false,
|
|
"info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "agent_description",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "A helpful assistant with access to the following tools:"
|
|
},
|
|
"agent_llm": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": false,
|
|
"combobox": false,
|
|
"dialog_inputs": {},
|
|
"display_name": "Model Provider",
|
|
"dynamic": false,
|
|
"info": "The provider of the language model that the agent will use to generate responses.",
|
|
"input_types": [],
|
|
"name": "agent_llm",
|
|
"options": [
|
|
"Amazon Bedrock",
|
|
"Anthropic",
|
|
"Azure OpenAI",
|
|
"Google Generative AI",
|
|
"Groq",
|
|
"NVIDIA",
|
|
"OpenAI",
|
|
"SambaNova",
|
|
"Custom"
|
|
],
|
|
"options_metadata": [
|
|
{
|
|
"icon": "Amazon"
|
|
},
|
|
{
|
|
"icon": "Anthropic"
|
|
},
|
|
{
|
|
"icon": "Azure"
|
|
},
|
|
{
|
|
"icon": "GoogleGenerativeAI"
|
|
},
|
|
{
|
|
"icon": "Groq"
|
|
},
|
|
{
|
|
"icon": "NVIDIA"
|
|
},
|
|
{
|
|
"icon": "OpenAI"
|
|
},
|
|
{
|
|
"icon": "SambaNova"
|
|
},
|
|
{
|
|
"icon": "brain"
|
|
}
|
|
],
|
|
"placeholder": "",
|
|
"real_time_refresh": true,
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"toggle": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "OpenAI"
|
|
},
|
|
"api_key": {
|
|
"_input_type": "SecretStrInput",
|
|
"advanced": false,
|
|
"display_name": "OpenAI API Key",
|
|
"dynamic": false,
|
|
"info": "The OpenAI API Key to use for the OpenAI model.",
|
|
"input_types": [],
|
|
"load_from_db": true,
|
|
"name": "api_key",
|
|
"password": true,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "str",
|
|
"value": "OPENAI_API_KEY"
|
|
},
|
|
"code": {
|
|
"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"file_path": "",
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.agents.events import ExceptionWithMessageError\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n MODELS_METADATA,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n options_metadata=[MODELS_METADATA[key] for key in sorted(MODELS_METADATA.keys())] + [{\"icon\": \"brain\"}],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n # Get LLM model and validate\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected. Please choose a model to proceed.\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n\n # Get memory data\n self.chat_history = await self.get_memory_data()\n\n # Add current date tool if enabled\n if self.add_current_date_tool:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if not isinstance(current_date_tool, StructuredTool):\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n self.tools.append(current_date_tool)\n\n # Validate tools\n if not self.tools:\n msg = \"Tools are required to run the agent. Please add at least one tool.\"\n raise ValueError(msg)\n\n # Set up and run agent\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n return await self.run_agent(agent)\n\n except (ValueError, TypeError, KeyError) as e:\n logger.error(f\"{type(e).__name__}: {e!s}\")\n raise\n except ExceptionWithMessageError as e:\n logger.error(f\"ExceptionWithMessageError occurred: {e}\")\n raise\n except Exception as e:\n logger.error(f\"Unexpected error: {e!s}\")\n raise\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v is not None}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if not isinstance(self.agent_llm, str):\n return self.agent_llm, None\n\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if not provider_info:\n msg = f\"Invalid model provider: {self.agent_llm}\"\n raise ValueError(msg)\n\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n\n return self._build_llm_model(component_class, inputs, prefix), display_name\n\n except Exception as e:\n logger.error(f\"Error building {self.agent_llm} language model: {e!s}\")\n msg = f\"Failed to initialize language model: {e!s}\"\n raise ValueError(msg) from e\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n options_metadata=[MODELS_METADATA[key] for key in sorted(MODELS_METADATA.keys())]\n + [{\"icon\": \"brain\"}],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n"
|
|
},
|
|
"handle_parsing_errors": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Handle Parse Errors",
|
|
"dynamic": false,
|
|
"info": "Should the Agent fix errors when reading user input for better processing?",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "handle_parsing_errors",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
},
|
|
"input_value": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": false,
|
|
"display_name": "Input",
|
|
"dynamic": false,
|
|
"info": "The input provided by the user for the agent to process.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "input_value",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": true,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"json_mode": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "JSON Mode",
|
|
"dynamic": false,
|
|
"info": "If True, it will output JSON regardless of passing a schema.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "json_mode",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": false
|
|
},
|
|
"max_iterations": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Max Iterations",
|
|
"dynamic": false,
|
|
"info": "The maximum number of attempts the agent can make to complete its task before it stops.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "max_iterations",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 15
|
|
},
|
|
"max_retries": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Max Retries",
|
|
"dynamic": false,
|
|
"info": "The maximum number of retries to make when generating.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "max_retries",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 5
|
|
},
|
|
"max_tokens": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Max Tokens",
|
|
"dynamic": false,
|
|
"info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "max_tokens",
|
|
"placeholder": "",
|
|
"range_spec": {
|
|
"max": 128000,
|
|
"min": 0,
|
|
"step": 0.1,
|
|
"step_type": "float"
|
|
},
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": ""
|
|
},
|
|
"memory": {
|
|
"_input_type": "HandleInput",
|
|
"advanced": true,
|
|
"display_name": "External Memory",
|
|
"dynamic": false,
|
|
"info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.",
|
|
"input_types": [
|
|
"Memory"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "memory",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "other",
|
|
"value": ""
|
|
},
|
|
"model_kwargs": {
|
|
"_input_type": "DictInput",
|
|
"advanced": true,
|
|
"display_name": "Model Kwargs",
|
|
"dynamic": false,
|
|
"info": "Additional keyword arguments to pass to the model.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "model_kwargs",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"type": "dict",
|
|
"value": {}
|
|
},
|
|
"model_name": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": false,
|
|
"combobox": true,
|
|
"dialog_inputs": {},
|
|
"display_name": "Model Name",
|
|
"dynamic": false,
|
|
"info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.",
|
|
"name": "model_name",
|
|
"options": [
|
|
"gpt-4o-mini",
|
|
"gpt-4o",
|
|
"gpt-4.1",
|
|
"gpt-4.1-mini",
|
|
"gpt-4.1-nano",
|
|
"gpt-4.5-preview",
|
|
"gpt-4-turbo",
|
|
"gpt-4-turbo-preview",
|
|
"gpt-4",
|
|
"gpt-3.5-turbo",
|
|
"o1"
|
|
],
|
|
"options_metadata": [],
|
|
"placeholder": "",
|
|
"real_time_refresh": false,
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"toggle": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "gpt-4.1"
|
|
},
|
|
"n_messages": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Number of Messages",
|
|
"dynamic": false,
|
|
"info": "Number of messages to retrieve.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "n_messages",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 100
|
|
},
|
|
"openai_api_base": {
|
|
"_input_type": "StrInput",
|
|
"advanced": true,
|
|
"display_name": "OpenAI API Base",
|
|
"dynamic": false,
|
|
"info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "openai_api_base",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"order": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"dialog_inputs": {},
|
|
"display_name": "Order",
|
|
"dynamic": false,
|
|
"info": "Order of the messages.",
|
|
"name": "order",
|
|
"options": [
|
|
"Ascending",
|
|
"Descending"
|
|
],
|
|
"options_metadata": [],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"toggle": false,
|
|
"tool_mode": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Ascending"
|
|
},
|
|
"seed": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Seed",
|
|
"dynamic": false,
|
|
"info": "The seed controls the reproducibility of the job.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "seed",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 1
|
|
},
|
|
"sender": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"dialog_inputs": {},
|
|
"display_name": "Sender Type",
|
|
"dynamic": false,
|
|
"info": "Filter by sender type.",
|
|
"name": "sender",
|
|
"options": [
|
|
"Machine",
|
|
"User",
|
|
"Machine and User"
|
|
],
|
|
"options_metadata": [],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"toggle": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Machine and User"
|
|
},
|
|
"sender_name": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Sender Name",
|
|
"dynamic": false,
|
|
"info": "Filter by sender name.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "sender_name",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"session_id": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Session ID",
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "session_id",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"system_prompt": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": false,
|
|
"copy_field": false,
|
|
"display_name": "Agent Instructions",
|
|
"dynamic": false,
|
|
"info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "system_prompt",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "You are a helpful assistant that can use tools to answer questions and perform tasks."
|
|
},
|
|
"temperature": {
|
|
"_input_type": "SliderInput",
|
|
"advanced": true,
|
|
"display_name": "Temperature",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"max_label": "",
|
|
"max_label_icon": "",
|
|
"min_label": "",
|
|
"min_label_icon": "",
|
|
"name": "temperature",
|
|
"placeholder": "",
|
|
"range_spec": {
|
|
"max": 1,
|
|
"min": 0,
|
|
"step": 0.01,
|
|
"step_type": "float"
|
|
},
|
|
"required": false,
|
|
"show": true,
|
|
"slider_buttons": false,
|
|
"slider_buttons_options": [],
|
|
"slider_input": false,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"type": "slider",
|
|
"value": 0.1
|
|
},
|
|
"template": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": true,
|
|
"copy_field": false,
|
|
"display_name": "Template",
|
|
"dynamic": false,
|
|
"info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.",
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "template",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "{sender_name}: {text}"
|
|
},
|
|
"timeout": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Timeout",
|
|
"dynamic": false,
|
|
"info": "The timeout for requests to OpenAI completion API.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "timeout",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 700
|
|
},
|
|
"tools": {
|
|
"_input_type": "HandleInput",
|
|
"advanced": false,
|
|
"display_name": "Tools",
|
|
"dynamic": false,
|
|
"info": "These are the tools that the agent can use to help with tasks.",
|
|
"input_types": [
|
|
"Tool"
|
|
],
|
|
"list": true,
|
|
"list_add_label": "Add More",
|
|
"name": "tools",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "other",
|
|
"value": ""
|
|
},
|
|
"verbose": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Verbose",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "verbose",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
}
|
|
},
|
|
"tool_mode": false
|
|
},
|
|
"showNode": true,
|
|
"type": "Agent"
|
|
},
|
|
"dragging": false,
|
|
"id": "Agent-qYZ9W",
|
|
"measured": {
|
|
"height": 624,
|
|
"width": 320
|
|
},
|
|
"position": {
|
|
"x": 1641.6239626366948,
|
|
"y": 301.10345101561927
|
|
},
|
|
"selected": true,
|
|
"type": "genericNode"
|
|
}
|
|
],
|
|
"viewport": {
|
|
"x": -343.42019144353594,
|
|
"y": 66.6702275988537,
|
|
"zoom": 0.5868650751024124
|
|
}
|
|
},
|
|
"description": "A simple but powerful starter agent.",
|
|
"endpoint_name": null,
|
|
"id": "85e419cd-33e0-43b7-b5ab-cac101c578f6",
|
|
"is_component": false,
|
|
"last_tested_version": "1.3.4",
|
|
"name": "Simple Agent",
|
|
"tags": [
|
|
"assistants",
|
|
"agents"
|
|
]
|
|
} |