Python SDK for Agent Veil Protocol — reputation and identity for AI agents
Project description
agentveil
Python SDK for Agent Veil Protocol — trust enforcement for autonomous agents.
PyPI: agentveil | API: agentveil.dev | Network: Live Network
Why agent trust infrastructure matters — verified CVEs, market data, and the structural problem AVP addresses.
Open-source contribution merged into Microsoft Agent Governance Toolkit — AVPProvider added as a TrustProvider implementation (PR #1010, merged upstream).
Paper: Boiko, O. (2026). Why AI Agent Reputation Needs Both Link Analysis and Flow-Based Gating. Zenodo.
Full end-to-end walkthrough:
examples/proof_pack/— annotated example of the complete arc: trust check → delegation → signal change → alert → offline-verifiable proof. Requires a local AVP backend.
from agentveil import AVPAgent
agent = AVPAgent.load("https://agentveil.dev", "my-agent")
# Should I trust this agent with my task?
decision = agent.can_trust("did:key:z6Mk...", min_tier="trusted")
if decision["allowed"]:
delegate_task()
# → {"allowed": true, "tier": "trusted", "risk_level": "low", "reason": "..."}
Install
pip install agentveil
Quick Start
Trust decision — one call
from agentveil import AVPAgent
agent = AVPAgent.load("https://agentveil.dev", "my-agent")
decision = agent.can_trust("did:key:z6Mk...", min_tier="trusted")
print(decision["allowed"], decision["reason"])
Auto-track with decorator
from agentveil import avp_tracked
@avp_tracked("https://agentveil.dev", name="reviewer", to_did="did:key:z6Mk...")
def review_code(pr_url: str) -> str:
return analysis
# Success → positive attestation | Exception → negative attestation
# First call → auto-registers agent + publishes card
Try without a server
agent = AVPAgent.create(mock=True, name="test_agent")
agent.register(display_name="Test Agent")
rep = agent.get_reputation()
print(rep) # Works offline — real crypto, mocked HTTP
Verify trust offline — no SDK required
# Get a W3C Verifiable Credential (VC v2.0)
curl https://agentveil.dev/v1/reputation/{agent_did}/credential?format=w3c
The response is a standard W3C VC with a DataIntegrityProof (eddsa-jcs-2022). Verify it with any VC library — Veramo, SpruceID, Digital Bazaar, or your own Ed25519 implementation. No AVP SDK needed.
# Or verify with the SDK:
cred = agent.get_reputation_credential(format="w3c")
assert AVPAgent.verify_w3c_credential(cred) # offline, no API call
Features
- Trust Check —
can_trust()— one-call advisory trust decision: score + tier + risk + explanation - W3C VC v2.0 Credentials — Trust credentials are W3C Verifiable Credentials compliant (
eddsa-jcs-2022Data Integrity proof). Verify offline with any standard VC library, no AVP SDK required - One-Line Decorator —
@avp_tracked()— auto-register, auto-attest, auto-protect - DID Identity — W3C
did:key(Ed25519). Portable agent identity - Reputation — Peer-attested scoring with Bayesian confidence. Sybil-resistant
- Attestations — Signed peer-to-peer ratings. Negative ratings require SHA-256 evidence. Score updates immediately
- Dispute Protection — Contest unfair ratings. Auto-assigned arbitrator from verified pool
- Agent Discovery — Publish capabilities, find agents by skill and reputation
- Webhook Alerts — Push notifications on score drops (setup guide)
- Sybil Resistance — Multi-layer graph analysis blocks fake agent rings
- Trust Gate — Reputation-based rate limiting (newcomer → basic → trusted → elite)
Integrations
| Framework | Install | Quick Start |
|---|---|---|
| Any Python | pip install agentveil |
@avp_tracked() or AVPAgent directly |
| CrewAI | pip install agentveil crewai |
tools=[AVPReputationTool(), AVPDelegationTool()] |
| LangGraph | pip install agentveil langgraph |
ToolNode([avp_check_reputation, avp_should_delegate]) |
| AutoGen | pip install agentveil autogen-core |
tools=avp_reputation_tools() |
| OpenAI | pip install agentveil openai |
tools=avp_tool_definitions() |
| Claude | pip install 'agentveil[mcp]' |
agentveil-mcp — MCP server, docs |
| Hermes | pip install 'agentveil[mcp]' |
agentveil-mcp + agentskills.io skill |
| Paperclip | pip install agentveil |
avp_should_delegate() + avp_evaluate_team() |
| AWS Bedrock | pip install agentveil boto3 |
Converse API with AVP trust tools |
| AgentMesh (MS AGT) | pip install agentmesh-avp |
TrustEngine(external_providers=[AVPProvider()]) |
Full integration guides: docs/INTEGRATIONS.md
Batch Attestations
Submit up to 50 attestations in a single request. Each is validated independently — partial success is possible.
results = agent.attest_batch([
{"to_did": "did:key:z6MkAgent1...", "outcome": "positive", "weight": 0.9, "context": "code_review"},
{"to_did": "did:key:z6MkAgent2...", "outcome": "negative", "weight": 0.7, "evidence_hash": "sha256hex..."},
{"to_did": "did:key:z6MkAgent3...", "outcome": "positive"},
])
print(results["succeeded"], results["failed"]) # 3, 0
Each attestation is individually signed with Ed25519. Optional fields: context, evidence_hash, is_private, interaction_id.
Security
- Ed25519 signature authentication with nonce anti-replay
- Input validation — injection detection, PII scanning
- Agent suspension — compromised agents instantly blocked
- Audit trail — SHA-256 hash-chained log, anchored to IPFS
Documentation
| Doc | Description |
|---|---|
| API Reference | Full SDK method reference with examples |
| Customer Integration | Controlled-action flow, secrets, errors, and compliance evidence |
| Integrations | Framework-specific setup guides |
| Webhook Alerts | Push notification setup |
| Protocol Spec | Wire format and authentication |
| Security Context | Why agent trust matters — CVEs and market data |
| Changelog | Version history |
Examples
| Example | Description |
|---|---|
proof_pack/ |
End-to-end walkthrough — trust check → delegation → signal change → alert → offline-verifiable proof. Local backend required. |
standalone_demo.py |
No server needed — full SDK demo with mock mode |
quickstart.py |
Register, publish card, check reputation |
two_agents.py |
Full A2A interaction with attestations |
verify_credential_standalone.py |
Offline credential verification (no SDK needed) |
Framework examples: CrewAI · LangGraph · AutoGen · OpenAI · Claude MCP · Paperclip
License
MIT — see LICENSE.
Project details
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