maigp-langchain

AIGP governance for LangChain / LangGraph.

Part of MAIGP — the Mediated AI Governance Protocol: a runtime consent / scope / evidence layer for AI systems. Every governed call is CHECKed before it runs (policy, scope, jurisdiction, circuit-breaker) and RECORDed + TRACEd as tamper-evident evidence after.

What it governs

Governs LangChain / LangGraph runs via a callback handler.

Governance model

This adapter maps the framework's lifecycle onto the AIGP agent-governance loop provided by maigp-agent-core:

Install

pip install maigp-langchain

Pulls in maigp-agent-core (shared lifecycle) and, transitively, maigp-client.

Quick start

from aigp_langchain import AigpCallbackHandler

handler = AigpCallbackHandler(gov_url="https://gov.example.com",
                              app_id="my-chain", hmac_secret="secret")

# Pass as a callback to any chain / graph / LLM call
chain.invoke(inputs, config={"callbacks": [handler]})

Links

• Protocol, specs & full adapter catalog: https://github.com/owner-spec/aigp-protocol
• Issues: https://github.com/owner-spec/aigp-protocol/issues

License: Proprietary. © Kanjani AI Research & Causum.