136 lines
5.9 KiB
JavaScript
136 lines
5.9 KiB
JavaScript
"use strict";
|
|
Object.defineProperty(exports, "__esModule", { value: true });
|
|
exports.initializeAgentExecutorWithOptions = exports.initializeAgentExecutor = void 0;
|
|
const buffer_memory_js_1 = require("../memory/buffer_memory.cjs");
|
|
const index_js_1 = require("./chat/index.cjs");
|
|
const index_js_2 = require("./chat_convo/index.cjs");
|
|
const index_js_3 = require("./structured_chat/index.cjs");
|
|
const executor_js_1 = require("./executor.cjs");
|
|
const index_js_4 = require("./mrkl/index.cjs");
|
|
const index_js_5 = require("./openai_functions/index.cjs");
|
|
const index_js_6 = require("./xml/index.cjs");
|
|
/**
|
|
* @deprecated See {@link https://js.langchain.com/docs/modules/agents/agent_types/ | new agent creation docs}.
|
|
*/
|
|
const initializeAgentExecutor = async (tools, llm, _agentType, _verbose, _callbackManager) => {
|
|
const agentType = _agentType ?? "zero-shot-react-description";
|
|
const verbose = _verbose;
|
|
const callbackManager = _callbackManager;
|
|
switch (agentType) {
|
|
case "zero-shot-react-description":
|
|
return executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
agent: index_js_4.ZeroShotAgent.fromLLMAndTools(llm, tools),
|
|
tools,
|
|
returnIntermediateSteps: true,
|
|
verbose,
|
|
callbackManager,
|
|
});
|
|
case "chat-zero-shot-react-description":
|
|
return executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
agent: index_js_1.ChatAgent.fromLLMAndTools(llm, tools),
|
|
tools,
|
|
returnIntermediateSteps: true,
|
|
verbose,
|
|
callbackManager,
|
|
});
|
|
case "chat-conversational-react-description":
|
|
return executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
agent: index_js_2.ChatConversationalAgent.fromLLMAndTools(llm, tools),
|
|
tools,
|
|
verbose,
|
|
callbackManager,
|
|
});
|
|
default:
|
|
throw new Error("Unknown agent type");
|
|
}
|
|
};
|
|
exports.initializeAgentExecutor = initializeAgentExecutor;
|
|
/** @deprecated See {@link https://js.langchain.com/docs/modules/agents/agent_types/ | new agent creation docs}. */
|
|
async function initializeAgentExecutorWithOptions(tools, llm, options = {
|
|
agentType: llm._modelType() === "base_chat_model"
|
|
? "chat-zero-shot-react-description"
|
|
: "zero-shot-react-description",
|
|
}) {
|
|
// Note this tools cast is safe as the overload signatures prevent
|
|
// the function from being called with a StructuredTool[] when
|
|
// the agentType is not in InitializeAgentExecutorOptionsStructured
|
|
switch (options.agentType) {
|
|
case "zero-shot-react-description": {
|
|
const { agentArgs, tags, ...rest } = options;
|
|
return executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
tags: [...(tags ?? []), "zero-shot-react-description"],
|
|
agent: index_js_4.ZeroShotAgent.fromLLMAndTools(llm, tools, agentArgs),
|
|
tools,
|
|
...rest,
|
|
});
|
|
}
|
|
case "chat-zero-shot-react-description": {
|
|
const { agentArgs, tags, ...rest } = options;
|
|
return executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
tags: [...(tags ?? []), "chat-zero-shot-react-description"],
|
|
agent: index_js_1.ChatAgent.fromLLMAndTools(llm, tools, agentArgs),
|
|
tools,
|
|
...rest,
|
|
});
|
|
}
|
|
case "chat-conversational-react-description": {
|
|
const { agentArgs, memory, tags, ...rest } = options;
|
|
const executor = executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
tags: [...(tags ?? []), "chat-conversational-react-description"],
|
|
agent: index_js_2.ChatConversationalAgent.fromLLMAndTools(llm, tools, agentArgs),
|
|
tools,
|
|
memory: memory ??
|
|
new buffer_memory_js_1.BufferMemory({
|
|
returnMessages: true,
|
|
memoryKey: "chat_history",
|
|
inputKey: "input",
|
|
outputKey: "output",
|
|
}),
|
|
...rest,
|
|
});
|
|
return executor;
|
|
}
|
|
case "xml": {
|
|
const { agentArgs, tags, ...rest } = options;
|
|
const executor = executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
tags: [...(tags ?? []), "xml"],
|
|
agent: index_js_6.XMLAgent.fromLLMAndTools(llm, tools, agentArgs),
|
|
tools,
|
|
...rest,
|
|
});
|
|
return executor;
|
|
}
|
|
case "structured-chat-zero-shot-react-description": {
|
|
const { agentArgs, memory, tags, ...rest } = options;
|
|
const executor = executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
tags: [...(tags ?? []), "structured-chat-zero-shot-react-description"],
|
|
agent: index_js_3.StructuredChatAgent.fromLLMAndTools(llm, tools, agentArgs),
|
|
tools,
|
|
memory,
|
|
...rest,
|
|
});
|
|
return executor;
|
|
}
|
|
case "openai-functions": {
|
|
const { agentArgs, memory, tags, ...rest } = options;
|
|
const executor = executor_js_1.AgentExecutor.fromAgentAndTools({
|
|
tags: [...(tags ?? []), "openai-functions"],
|
|
agent: index_js_5.OpenAIAgent.fromLLMAndTools(llm, tools, agentArgs),
|
|
tools,
|
|
memory: memory ??
|
|
new buffer_memory_js_1.BufferMemory({
|
|
returnMessages: true,
|
|
memoryKey: "chat_history",
|
|
inputKey: "input",
|
|
outputKey: "output",
|
|
}),
|
|
...rest,
|
|
});
|
|
return executor;
|
|
}
|
|
default: {
|
|
throw new Error("Unknown agent type");
|
|
}
|
|
}
|
|
}
|
|
exports.initializeAgentExecutorWithOptions = initializeAgentExecutorWithOptions;
|