maigp-pydantic-ai
AIGP governance for PydanticAI.
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 PydanticAI agents.
Governance model
This adapter maps the framework's lifecycle onto the AIGP agent-governance loop provided by 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
pip install maigp-pydantic-ai
Pulls in maigp-agent-core (shared lifecycle) and, transitively, maigp-client.
Quick start
from aigp_pydantic_ai import governed_agent, AigpPydanticAIHandler
# Wrap a PydanticAI Agent so its runs are CHECK-gated and RECORD-ed
agent = governed_agent(my_agent, gov_url="https://gov.example.com",
app_id="my-pai-agent", hmac_secret="secret")
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.
1 maintainer
Metadata
1 maintainer
Release files for maigp-pydantic-ai 1.0.0
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