460 lines
22 KiB
JSON
460 lines
22 KiB
JSON
{
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"description": "Given API docs, agent automatically decide which API to call, generating url and body request from conversation",
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"framework": ["Langchain"],
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"usecases": ["Interacting with API"],
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"nodes": [
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{
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"id": "toolAgent_0",
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"position": {
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"x": 2142.702888476286,
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"y": 52.064582962824204
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},
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"type": "customNode",
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"data": {
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"id": "toolAgent_0",
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"label": "Tool Agent",
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"version": 2,
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"name": "toolAgent",
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"type": "AgentExecutor",
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"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
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"category": "Agents",
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"description": "Agent that uses Function Calling to pick the tools and args to call",
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"inputParams": [
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{
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"label": "System Message",
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"name": "systemMessage",
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"type": "string",
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"default": "You are a helpful AI assistant.",
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"description": "If Chat Prompt Template is provided, this will be ignored",
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"rows": 4,
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"optional": true,
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"additionalParams": true,
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"id": "toolAgent_0-input-systemMessage-string"
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},
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{
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"label": "Max Iterations",
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"name": "maxIterations",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "toolAgent_0-input-maxIterations-number"
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}
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],
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"inputAnchors": [
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{
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"label": "Tools",
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"name": "tools",
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"type": "Tool",
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"list": true,
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"id": "toolAgent_0-input-tools-Tool"
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},
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{
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"label": "Memory",
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"name": "memory",
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"type": "BaseChatMemory",
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"id": "toolAgent_0-input-memory-BaseChatMemory"
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},
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{
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"label": "Tool Calling Chat Model",
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"name": "model",
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"type": "BaseChatModel",
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"description": "Only compatible with models that are capable of function calling: ChatOpenAI, ChatMistral, ChatAnthropic, ChatGoogleGenerativeAI, ChatVertexAI, GroqChat",
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"id": "toolAgent_0-input-model-BaseChatModel"
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},
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{
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"label": "Chat Prompt Template",
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"name": "chatPromptTemplate",
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"type": "ChatPromptTemplate",
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"description": "Override existing prompt with Chat Prompt Template. Human Message must includes {input} variable",
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"optional": true,
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"id": "toolAgent_0-input-chatPromptTemplate-ChatPromptTemplate"
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},
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{
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"label": "Input Moderation",
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"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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"name": "inputModeration",
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"type": "Moderation",
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"optional": true,
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"list": true,
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"id": "toolAgent_0-input-inputModeration-Moderation"
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}
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],
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"inputs": {
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"tools": ["{{openAPIToolkit_0.data.instance}}"],
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"memory": "{{bufferMemory_0.data.instance}}",
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"model": "{{chatAnthropic_0.data.instance}}",
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"chatPromptTemplate": "",
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"systemMessage": "You are an agent that can interact with the API to perform specific tasks based on user requests.\n\nYour main goal is to understand the user's needs, make appropriate API calls, and return the results in a clear format. Ensure you verify inputs before making API requests and handle errors gracefully if the API fails.\n\n# Steps\n\n1. **Receive User Input:** Listen carefully to the user's request and identify key parameters needed for the API call.\n2. **Validate Input:** Ensure that the user input is in the correct format and contains all necessary information.\n3. **Make API Call:** Use the provided OpenAPI tools to call appropriate API endpoint with the validated input.\n",
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"inputModeration": "",
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"maxIterations": ""
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},
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"outputAnchors": [
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{
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"id": "toolAgent_0-output-toolAgent-AgentExecutor|BaseChain|Runnable",
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"name": "toolAgent",
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"label": "AgentExecutor",
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"description": "Agent that uses Function Calling to pick the tools and args to call",
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"type": "AgentExecutor | BaseChain | Runnable"
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}
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],
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"outputs": {},
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"selected": false
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},
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"width": 300,
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"height": 483,
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"selected": false,
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"positionAbsolute": {
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"x": 2142.702888476286,
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"y": 52.064582962824204
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},
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"dragging": false
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},
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{
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"id": "bufferMemory_0",
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"position": {
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"x": 1017.5366991719394,
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"y": 70.40237946649512
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},
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"type": "customNode",
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"data": {
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"id": "bufferMemory_0",
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"label": "Buffer Memory",
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"version": 2,
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"name": "bufferMemory",
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"type": "BufferMemory",
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"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
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"category": "Memory",
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"description": "Retrieve chat messages stored in database",
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"inputParams": [
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{
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"label": "Session Id",
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"name": "sessionId",
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"type": "string",
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"description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory#ui-and-embedded-chat\">more</a>",
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"default": "",
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"additionalParams": true,
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"optional": true,
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"id": "bufferMemory_0-input-sessionId-string"
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},
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{
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"label": "Memory Key",
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"name": "memoryKey",
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"type": "string",
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"default": "chat_history",
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"additionalParams": true,
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"id": "bufferMemory_0-input-memoryKey-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"sessionId": "",
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"memoryKey": "chat_history"
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},
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"outputAnchors": [
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{
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"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
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"name": "bufferMemory",
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"label": "BufferMemory",
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"description": "Retrieve chat messages stored in database",
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"type": "BufferMemory | BaseChatMemory | BaseMemory"
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}
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],
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"outputs": {},
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"selected": false
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},
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"width": 300,
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"height": 250,
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"selected": false,
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"positionAbsolute": {
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"x": 1017.5366991719394,
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"y": 70.40237946649512
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},
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"dragging": false
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},
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{
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"id": "chatAnthropic_0",
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"position": {
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"x": 1782.2489802995697,
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"y": -97.03292069533617
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},
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"type": "customNode",
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"data": {
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"id": "chatAnthropic_0",
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"label": "ChatAnthropic",
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"version": 8,
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"name": "chatAnthropic",
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"type": "ChatAnthropic",
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"baseClasses": ["ChatAnthropic", "ChatAnthropicMessages", "BaseChatModel", "BaseLanguageModel", "Runnable"],
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"category": "Chat Models",
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"description": "Wrapper around ChatAnthropic large language models that use the Chat endpoint",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["anthropicApi"],
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"id": "chatAnthropic_0-input-credential-credential",
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"display": true
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"default": "claude-3-haiku",
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"id": "chatAnthropic_0-input-modelName-asyncOptions",
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"display": true
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"step": 0.1,
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"default": 0.9,
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"optional": true,
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"id": "chatAnthropic_0-input-temperature-number",
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"display": true
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},
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{
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"label": "Streaming",
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"name": "streaming",
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"type": "boolean",
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"default": true,
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"optional": true,
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"additionalParams": true,
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"id": "chatAnthropic_0-input-streaming-boolean",
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"display": true
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},
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{
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"label": "Max Tokens",
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"name": "maxTokensToSample",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatAnthropic_0-input-maxTokensToSample-number",
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"display": true
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},
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{
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"label": "Top P",
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"name": "topP",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatAnthropic_0-input-topP-number",
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"display": true
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},
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{
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"label": "Top K",
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"name": "topK",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatAnthropic_0-input-topK-number",
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"display": true
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},
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{
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"label": "Extended Thinking",
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"name": "extendedThinking",
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"type": "boolean",
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"description": "Enable extended thinking for reasoning model such as Claude Sonnet 3.7",
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"optional": true,
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"additionalParams": true,
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"id": "chatAnthropic_0-input-extendedThinking-boolean",
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"display": true
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},
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{
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"label": "Budget Tokens",
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"name": "budgetTokens",
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"type": "number",
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"step": 1,
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"default": 1024,
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"description": "Maximum number of tokens Claude is allowed use for its internal reasoning process",
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"optional": true,
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"additionalParams": true,
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"id": "chatAnthropic_0-input-budgetTokens-number",
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"display": true
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},
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{
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"label": "Allow Image Uploads",
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"name": "allowImageUploads",
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"type": "boolean",
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"description": "Allow image input. Refer to the <a href=\"https://docs.flowiseai.com/using-flowise/uploads#image\" target=\"_blank\">docs</a> for more details.",
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"default": false,
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"optional": true,
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"id": "chatAnthropic_0-input-allowImageUploads-boolean",
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"display": true
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}
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],
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"inputAnchors": [
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{
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"label": "Cache",
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"name": "cache",
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"type": "BaseCache",
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"optional": true,
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"id": "chatAnthropic_0-input-cache-BaseCache",
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"display": true
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}
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],
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"inputs": {
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"cache": "",
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"modelName": "claude-3-5-haiku-latest",
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"temperature": 0.9,
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"streaming": true,
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"maxTokensToSample": "",
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"topP": "",
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"topK": "",
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"extendedThinking": "",
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"budgetTokens": 1024,
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"allowImageUploads": ""
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},
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"outputAnchors": [
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{
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"id": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|ChatAnthropicMessages|BaseChatModel|BaseLanguageModel|Runnable",
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"name": "chatAnthropic",
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"label": "ChatAnthropic",
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"description": "Wrapper around ChatAnthropic large language models that use the Chat endpoint",
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"type": "ChatAnthropic | ChatAnthropicMessages | BaseChatModel | BaseLanguageModel | Runnable"
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}
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],
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"outputs": {},
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"selected": false
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},
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"width": 300,
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"height": 668,
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"selected": false,
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"positionAbsolute": {
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"x": 1782.2489802995697,
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"y": -97.03292069533617
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},
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"dragging": false
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},
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{
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"id": "openAPIToolkit_0",
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"position": {
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"x": 1406.3474125716532,
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"y": -26.543208700976493
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},
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"type": "customNode",
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"data": {
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"id": "openAPIToolkit_0",
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"label": "OpenAPI Toolkit",
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"version": 2,
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"name": "openAPIToolkit",
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"type": "OpenAPIToolkit",
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"baseClasses": ["OpenAPIToolkit", "Tool"],
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"category": "Tools",
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"description": "Load OpenAPI specification, and converts each API endpoint to a tool",
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"inputParams": [
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{
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"label": "YAML File",
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"name": "yamlFile",
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"type": "file",
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"fileType": ".yaml",
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"id": "openAPIToolkit_0-input-yamlFile-file",
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"display": true
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},
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{
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"label": "Return Direct",
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"name": "returnDirect",
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"description": "Return the output of the tool directly to the user",
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"type": "boolean",
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"optional": true,
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"id": "openAPIToolkit_0-input-returnDirect-boolean",
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"display": true
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},
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{
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"label": "Headers",
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"name": "headers",
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"type": "json",
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"description": "Request headers to be sent with the API request. For example, {\"Authorization\": \"Bearer token\"}",
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"additionalParams": true,
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"optional": true,
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"id": "openAPIToolkit_0-input-headers-json",
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"display": true
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},
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{
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"label": "Remove null parameters",
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"name": "removeNulls",
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"type": "boolean",
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"optional": true,
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"description": "Remove all keys with null values from the parsed arguments",
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"id": "openAPIToolkit_0-input-removeNulls-boolean",
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"display": true
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},
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{
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"label": "Custom Code",
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"name": "customCode",
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"type": "code",
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"hint": {
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"label": "How to use",
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"value": "- **Libraries:** \n You can use any libraries imported in Flowise.\n\n- **Tool Input Arguments:** \n Tool input arguments are available as the following variables:\n - `$PathParameters`\n - `$QueryParameters`\n - `$RequestBody`\n\n- **HTTP Requests:** \n By default, you can get the following values for making HTTP requests:\n - `$url`\n - `$options`\n\n- **Default Flow Config:** \n You can access the default flow configuration using these variables:\n - `$flow.sessionId`\n - `$flow.chatId`\n - `$flow.chatflowId`\n - `$flow.input`\n - `$flow.state`\n\n- **Custom Variables:** \n You can get custom variables using the syntax:\n - `$vars.<variable-name>`\n\n- **Return Value:** \n The function must return a **string** value at the end.\n\n```js\nconst fetch = require('node-fetch');\nconst url = $url;\nconst options = $options;\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst resp = await response.json();\n\treturn JSON.stringify(resp);\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}\n\n```\n"
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},
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"codeExample": "const fetch = require('node-fetch');\nconst url = $url;\nconst options = $options;\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst resp = await response.json();\n\treturn JSON.stringify(resp);\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}\n",
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"description": "Custom code to return the output of the tool. The code should be a function that takes in the input and returns a string",
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"hideCodeExecute": true,
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"default": "const fetch = require('node-fetch');\nconst url = $url;\nconst options = $options;\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst resp = await response.json();\n\treturn JSON.stringify(resp);\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}\n",
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"additionalParams": true,
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"id": "openAPIToolkit_0-input-customCode-code",
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"display": true
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}
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],
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"inputAnchors": [],
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"inputs": {
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"returnDirect": "",
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"headers": "",
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"removeNulls": "",
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"customCode": "const fetch = require('node-fetch');\nconst url = $url;\nconst options = $options;\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst resp = await response.json();\n\treturn JSON.stringify(resp);\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}\n"
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},
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"outputAnchors": [
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{
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"id": "openAPIToolkit_0-output-openAPIToolkit-OpenAPIToolkit|Tool",
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"name": "openAPIToolkit",
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"label": "OpenAPIToolkit",
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"description": "Load OpenAPI specification, and converts each API endpoint to a tool",
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"type": "OpenAPIToolkit | Tool"
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}
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],
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"outputs": {},
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"selected": false
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|
},
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|
"width": 300,
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|
"height": 552,
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|
"selected": false,
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"positionAbsolute": {
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"x": 1406.3474125716532,
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"y": -26.543208700976493
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},
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"dragging": false
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}
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],
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"edges": [
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{
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"source": "bufferMemory_0",
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|
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
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"target": "toolAgent_0",
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"targetHandle": "toolAgent_0-input-memory-BaseChatMemory",
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"type": "buttonedge",
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|
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-toolAgent_0-toolAgent_0-input-memory-BaseChatMemory"
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},
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|
{
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"source": "openAPIToolkit_0",
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"sourceHandle": "openAPIToolkit_0-output-openAPIToolkit-OpenAPIToolkit|Tool",
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"target": "toolAgent_0",
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"targetHandle": "toolAgent_0-input-tools-Tool",
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"type": "buttonedge",
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"id": "openAPIToolkit_0-openAPIToolkit_0-output-openAPIToolkit-OpenAPIToolkit|Tool-toolAgent_0-toolAgent_0-input-tools-Tool"
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},
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{
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"source": "chatAnthropic_0",
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"sourceHandle": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|ChatAnthropicMessages|BaseChatModel|BaseLanguageModel|Runnable",
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"target": "toolAgent_0",
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"targetHandle": "toolAgent_0-input-model-BaseChatModel",
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"type": "buttonedge",
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|
"id": "chatAnthropic_0-chatAnthropic_0-output-chatAnthropic-ChatAnthropic|ChatAnthropicMessages|BaseChatModel|BaseLanguageModel|Runnable-toolAgent_0-toolAgent_0-input-model-BaseChatModel"
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}
|
|
]
|
|
}
|