LangChain

A real langchain AgentExecutor is detected via .invoke() + lc_namespace (e.g. an array present on the object). See detection overview for how this compares to the other bridges. To make the model/tools unambiguous, use the SDK's drop-in builder, which attaches ._agentspan metadata:

import { createAgentExecutor } from '@io-orkes/conductor-javascript/agents/langchain';
import { AgentRuntime } from '@io-orkes/conductor-javascript/agents';

const executor = createAgentExecutor({ agent, tools, llm });

const runtime = new AgentRuntime();
try {
  const result = await runtime.run(executor, 'Summarize the latest release notes.');
  result.printResult();
} finally {
  await runtime.shutdown();
}

The @io-orkes/conductor-javascript/agents/langchain subpath also exports createRunnableWithMetadata(...) (a runnable-like object with invoke + lc_namespace + metadata) and getLangChainModule().

@langchain/core (and whichever @langchain/* model/tool packages you use) are optional peer dependencies — install them only if you use this bridge.

Next steps

Framework agents can be deployed too: runtime.deploy(frameworkAgent). See deploy/serve/run/plan.