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maigp-anthropic

AIGP governance for direct Anthropic Messages API calls.

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 raw anthropic client calls (Messages API).

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-anthropic

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

Quick start

from anthropic import Anthropic
from aigp_anthropic import GovernedAnthropic

governed = GovernedAnthropic(client=Anthropic(),
                             gov_url="https://gov.example.com",
                             app_id="my-anthropic-app", hmac_secret="secret")
response = governed.message("claude-sonnet-4", "Hello", system="You are helpful")

Raw API vs agent loop

This wraps single Messages API calls. To govern the Claude Agent SDK agent loop (tool-use turns), use maigp-claude-agent-sdk.

Links


License: Proprietary. © Kanjani AI Research & Causum.

Metadata

Release files for maigp-anthropic 1.0.1

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