langchain
Version:
Typescript bindings for langchain
51 lines (50 loc) • 2.17 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.createConversationalRetrievalAgent = void 0;
const summary_buffer_js_1 = require("../../../memory/summary_buffer.cjs");
const initialize_js_1 = require("../../initialize.cjs");
const token_buffer_memory_js_1 = require("./token_buffer_memory.cjs");
/**
* Asynchronous function that creates a conversational retrieval agent
* using a language model, tools, and options. It initializes the buffer
* memory based on the provided options and initializes the AgentExecutor
* with the tools, language model, and memory.
* @param llm Instance of ChatOpenAI used as the language model for the agent.
* @param tools Array of StructuredTool instances used by the agent.
* @param options Optional ConversationalRetrievalAgentOptions to customize the agent.
* @returns A Promise that resolves to an initialized AgentExecutor.
*/
async function createConversationalRetrievalAgent(llm, tools, options) {
const { rememberIntermediateSteps = true, memoryKey = "chat_history", outputKey = "output", inputKey = "input", prefix, verbose, } = options ?? {};
let memory;
if (rememberIntermediateSteps) {
memory = new token_buffer_memory_js_1.OpenAIAgentTokenBufferMemory({
memoryKey,
llm,
outputKey,
inputKey,
});
}
else {
memory = new summary_buffer_js_1.ConversationSummaryBufferMemory({
memoryKey,
llm,
maxTokenLimit: 12000,
returnMessages: true,
outputKey,
inputKey,
});
}
const executor = await (0, initialize_js_1.initializeAgentExecutorWithOptions)(tools, llm, {
agentType: "openai-functions",
memory,
verbose,
returnIntermediateSteps: rememberIntermediateSteps,
agentArgs: {
prefix: prefix ??
`Do your best to answer the questions. Feel free to use any tools available to look up relevant information, only if necessary.`,
},
});
return executor;
}
exports.createConversationalRetrievalAgent = createConversationalRetrievalAgent;