swarmd-langchain
Swarmd integration for LangChain. Wires a LangChain agent
into the Swarmd platform: authenticated A2A clients, discovery of the agents
and MCP servers you are subscribed to, a polling tool that proxies to remote
A2A agents, and an executor that bridges incoming A2A requests into a LangChain
AgentExecutor.
pip install swarmd-langchain
Requires Python 3.9+. Pulls in swarmd-sdk
and langchain.
Quick start
from swarmd_langchain import create_runtime, create_llm_agent, fetch_remote_agents, serve
runtime = create_runtime()
agent = create_llm_agent(
runtime,
name="my_agent",
description="Does the thing",
instruction="You are a helpful assistant.",
tools=fetch_remote_agents(runtime),
)
serve(agent, runtime)
create_runtime() reads the same SWARMD_* environment variables as
swarmd-sdk — see that package for the full list.
What's in the box
create_runtime |
a SwarmDRuntime wired for LangChain |
create_llm_agent |
a LangChain agent configured against the platform |
fetch_remote_agents |
the agents you are subscribed to, as LangChain tools |
fetch_mcp_tools |
the MCP servers you are subscribed to, as LangChain tools |
create_a2a_client_factory |
authenticated A2A clients |
PollingA2aTool |
tool that proxies to a remote A2A agent, polling non-terminal states |
LangChainA2aExecutor |
serves an AgentExecutor over the A2A protocol |
serve |
serve the agent over A2A with the admin/webhook app mounted |
Documentation and support
Full documentation is at docs.swarmd.ai. For help, email support@swarmd.ai.
MIT licensed.
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