agentmesh_audit_export 3.3.0

Example adapter from AgentMesh AuditEntry output to an external accountability export shape

Audit Accountability Export

This integration is a small example adapter for mapping real AgentMesh AuditEntry / AuditService output into a smallest-stable external accountability export shape.

It follows the interoperability discussion in issue #1314 and the docs-only note merged in PR #1319.

Purpose

The adapter treats AGT audit output as upstream runtime-governance evidence and emits a compact downstream accountability shape with:

• actor reference
• subject reference
• operation
• policy digest
• decision
• occurrence timestamp
• input and output references
• evidence references

The EEOAP mapping function is an external mapping example. It does not import an external validator and does not imply official AGT runtime support for EEOAP.

Non-goals

• no AGT runtime changes
• no AuditEntry / AuditService contract changes
• no replacement of agt verify --evidence
• no new AGT-native evidence format
• no required dependency on EEOAP or external validators
• no production compliance claim

Pipeline

AuditService output
-> AuditEntry
-> external accountability export shape
-> EEOAP mapping example

Example

from agentmesh.services.audit import AuditService
from audit_accountability_export import (
    accountability_export_to_eeoap_statement,
    audit_entry_to_accountability_export,
)

audit = AuditService()
entry = audit.log_policy_decision(
    "did:mesh:research-agent",
    "metadata.enrich",
    decision="allow",
    policy_name="approved-metadata-policy",
    data={
        "subject_ref": "urn:demo:client-note-001",
        "input_refs": ["urn:demo:client-note-001"],
        "output_refs": ["urn:demo:client-note-001-derived"],
    },
)

export = audit_entry_to_accountability_export(entry)
statement = accountability_export_to_eeoap_statement(export)

Export shape

{
  "export_type": "agt.audit_entry.external_accountability_export",
  "export_version": "0.1",
  "actor_ref": "...",
  "subject_ref": "...",
  "operation": "...",
  "policy_digest": "...",
  "decision": "...",
  "occurred_at": "...",
  "input_refs": [],
  "output_refs": [],
  "evidence_refs": []
}

Sensitivity note

Exported data may include values derived from AuditEntry.data. Review and redact sensitive fields before sharing externally. This example is intended to demonstrate a smallest-stable external accountability export shape, not to define a blanket-safe export for all audit records.

Running locally

From the repository root:

pip install .[dev]

PYTHONPATH=agent-governance-python/agent-mesh/src:agent-governance-python/agentmesh-integrations/audit-accountability-export \
  python -m pytest agent-governance-python/agentmesh-integrations/audit-accountability-export/tests -q

PYTHONPATH=agent-governance-python/agent-mesh/src:agent-governance-python/agentmesh-integrations/audit-accountability-export \
  python agent-governance-python/agentmesh-integrations/audit-accountability-export/examples/basic_auditservice_export.py

The tests create real AuditService entries and use the returned AuditEntry objects as the source. They do not rely on static synthetic fixtures.