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agentveil

PyPI Python Tests License: MIT MCP

Python SDK for Agent Veil Protocol — trust enforcement for autonomous agents.

PyPI: agentveil | API: agentveil.dev | Explorer: Live Dashboard

Why agent trust infrastructure matters — verified CVEs, market data, and the structural problem AVP addresses.

Integrated with Microsoft Agent Governance Toolkit — AVPProvider merged as official TrustProvider integration.

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

Related MCP server: Agent Receipts

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 Checkcan_trust() — one-call advisory trust decision: score + tier + risk + explanation

  • W3C VC v2.0 Credentials — Trust credentials are W3C Verifiable Credentials compliant (eddsa-jcs-2022 Data 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

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

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.

Install Server
A
security – no known vulnerabilities
A
license - permissive license
-
quality - not tested

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