Metadata-Version: 2.5
Name: maigp-langchain
Version: 1.0.1
Summary: AIGP governance adapter for LangChain/LangGraph
Requires-Python: >=3.11
Requires-Dist: maigp-agent-core>=1.0.0
Description-Content-Type: text/markdown

# 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 **CHECK**ed before it runs (policy, scope, jurisdiction, circuit-breaker) and **RECORD**ed + **TRACE**d 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`](https://pypi.org/project/maigp-agent-core/):

| Framework event | AIGP action |
|---|---|
| run / invocation start | **CHECK** (`pre_invoke`) — allowed? under what authority? |
| each model reply | token accounting (`on_model_call`) |
| each tool / function call | tool governance (`on_tool_call`) |
| run complete | **RECORD** + **TRACE** (`post_invoke`) |
| failure | `on_error` (recorded, then re-raised) |


## Install

```bash
pip install maigp-langchain
```

Pulls in [`maigp-agent-core`](https://pypi.org/project/maigp-agent-core/) (shared lifecycle) and, transitively, [`maigp-client`](https://pypi.org/project/maigp-client/).

## Quick start

```python
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

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License: Proprietary. © Kanjani AI Research & Causum.
