@langchain/langgraph/dist/prebuilt/agent_executor.cjs

LangGraph

const require_constants = require("../constants.cjs");
const require_state = require("../graph/state.cjs");
const require_tool_executor = require("./tool_executor.cjs");
//#region src/prebuilt/agent_executor.ts
/** @ignore */
function createAgentExecutor({ agentRunnable, tools }) {
	let toolExecutor;
	if (!Array.isArray(tools)) toolExecutor = tools;
	else toolExecutor = new require_tool_executor.ToolExecutor({ tools });
	const shouldContinue = (data) => {
		if (data.agentOutcome && "returnValues" in data.agentOutcome) return "end";
		return "continue";
	};
	const runAgent = async (data, config) => {
		return { agentOutcome: await agentRunnable.invoke(data, config) };
	};
	const executeTools = async (data, config) => {
		const agentAction = data.agentOutcome;
		if (!agentAction || "returnValues" in agentAction) throw new Error("Agent has not been run yet");
		return { steps: [{
			action: agentAction,
			observation: await toolExecutor.invoke(agentAction, config)
		}] };
	};
	return new require_state.StateGraph({ channels: {
		input: null,
		agentOutcome: null,
		steps: {
			reducer: (x, y) => x.concat(y),
			default: () => []
		}
	} }).addNode("agent", runAgent).addNode("action", executeTools).addEdge(require_constants.START, "agent").addConditionalEdges("agent", shouldContinue, {
		continue: "action",
		end: require_constants.END
	}).addEdge("action", "agent").compile();
}
//#endregion
exports.createAgentExecutor = createAgentExecutor;

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