langchain - 💡(How to fix) Fix Collaboration: Governance middleware for LangChain agents [5 comments, 4 participants]

Fix Plan

To integrate the governance middleware with LangChain, we will use a callback-based approach. Here are the steps:

• Install the langchain-agentmesh package using pip:

pip install langchain-agentmesh

• Import the AgentMesh class and create an instance, passing in the LangChain agent and tools:

from langchain_agentmesh import AgentMesh

agent = ...  # LangChain agent
tools = ...  # LangChain tools

agent_mesh = AgentMesh(agent, tools)

• Use the agent_mesh instance to wrap the LangChain agent and tools with governance middleware:

governed_agent = agent_mesh.get_governed_agent()
governed_tools = agent_mesh.get_governed_tools()

• Configure the governance middleware by setting policies, trust thresholds, and scope chains:

from langchain_agentmesh import Policy, TrustThreshold, ScopeChain

policy = Policy(...)  # define policy rules
trust_threshold = TrustThreshold(...)  # define trust threshold
scope_chain = ScopeChain(...)  # define scope chain

agent_mesh.configure_governance(policy, trust_threshold, scope_chain)

Verification

To verify that the governance middleware is working correctly, you can test the governed_agent and governed_tools instances to ensure that they enforce the configured policies and trust thresholds.

Extra Tips

• Refer to the langchain-agentmesh documentation for more information on configuring and using the governance middleware.
• Consider submitting a docs PR to list this as a community integration or partner package.