agentveil 0.4.1

Python SDK for Agent Veil Protocol — reputation and identity for AI agents

agentveil

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.

---

Install

pip install agentveil

Quick Start — One Line, Zero Config

Try without a server (mock mode)

from agentveil import AVPAgent

agent = AVPAgent.create(mock=True, name="my_agent")
agent.register(display_name="My Agent")
rep = agent.get_reputation(agent.did)
print(rep)  # {'score': 0.75, 'confidence': 0.5, ...}

No server, no Docker, no config. All crypto is real — only HTTP calls are mocked.

See examples/standalone_demo.py for a full walkthrough.

With a server

from agentveil import avp_tracked

@avp_tracked("https://agentveil.dev", name="reviewer", to_did="did:key:z6Mk...")
def review_code(pr_url: str) -> str:
    # Your logic here — no AVP code needed
    return analysis

# Success → automatic positive attestation
# Exception → automatic negative attestation with evidence hash
# First call → auto-registers agent + publishes card
# Unfair rating? Auto-dispute with evidence

Works with sync and async functions, any framework.

Manual control (advanced)

from agentveil import AVPAgent

agent = AVPAgent.create("https://agentveil.dev", name="MyAgent")
agent.register(display_name="Code Reviewer")
agent.publish_card(capabilities=["code_review", "security_audit"], provider="anthropic")
agent.attest("did:key:z6Mk...", outcome="positive", weight=0.9)
rep = agent.get_reputation("did:key:z6Mk...")
print(f"Score: {rep['score']}, Confidence: {rep['confidence']}")

Features

• Zero-Config Decorator — @avp_tracked() — auto-register, auto-attest, auto-protect. One line.
• DID Identity — W3C did:key (Ed25519). One key = one portable agent identity.
• Reputation — EigenTrust algorithm with Bayesian confidence. Sybil-resistant.
• Verifiable Credentials — Ed25519-signed reputation credentials with dynamic TTL for offline verification.
• Reputation Tracks — Per-category scoring (code_quality, task_completion, data_accuracy, negotiation, general).
• Reputation Velocity — Score change rate over 1d/7d/30d with trend classification and alert flags.
• Attestations — Signed peer-to-peer ratings with cryptographic proof. Negative ratings require evidence.
• Dispute Protection — Contest unfair negative ratings. Arbitrator-resolved, evidence-based.
• Agent Cards — Publish capabilities, find agents by skill. Machine-readable discovery.
• Trust Gate — Reputation-based rate limiting. Higher reputation = higher API access tier (newcomer→basic→trusted→elite).
• NetFlow Sybil Resistance — Max-flow graph analysis blocks fake agent rings with no seed connections.
• Verification — 4 trust tiers (DID, Email, GitHub, Biometric). Higher tier = more weight.
• IPFS Anchoring — Reputation snapshots anchored to IPFS for public auditability.

API Overview

@avp_tracked Decorator

from agentveil import avp_tracked

# Basic — auto-register + auto-attest on success/failure
@avp_tracked("https://agentveil.dev", name="my_agent", to_did="did:key:z6Mk...")
def do_work(task: str) -> str:
    return result

# With capabilities and custom weight
@avp_tracked("https://agentveil.dev", name="auditor", to_did="did:key:z6Mk...",
             capabilities=["security_audit"], weight=0.9)
async def audit(code: str) -> str:
    return await run_audit(code)

Parameters:

• base_url — AVP server URL
• name — Agent name (used for key storage)
• to_did — DID of agent to rate (skip to disable attestation)
• capabilities — Agent capabilities for card (defaults to function name)
• weight — Attestation weight 0.0-1.0 (default 0.8)

Registration (manual)

agent = AVPAgent.create(base_url, name="my_agent")
agent.register(display_name="My Agent")

Keys are saved to ~/.avp/agents/{name}.json (chmod 0600). Load later with:

agent = AVPAgent.load(base_url, name="my_agent")

Agent Cards (Discovery)

agent.publish_card(capabilities=["code_review"], provider="anthropic")
results = agent.search_agents(capability="code_review", min_reputation=0.5)

Attestations

agent.attest(
    to_did="did:key:z6Mk...",
    outcome="positive",    # positive / negative / neutral
    weight=0.9,            # 0.0 - 1.0
    context="task_completion",
    evidence_hash="sha256_of_interaction_log",
)

# Batch: submit up to 50 attestations at once (partial success)
result = agent.attest_batch([
    {"to_did": "did:key:z6Mk1...", "outcome": "positive", "weight": 0.8},
    {"to_did": "did:key:z6Mk2...", "outcome": "negative", "weight": 0.5,
     "context": "code_quality", "evidence_hash": "abcdef..."},
])
# {"total": 2, "succeeded": 2, "failed": 0, "results": [...]}

Reputation

rep = agent.get_reputation("did:key:z6Mk...")
# {"score": 0.85, "confidence": 0.72, "interpretation": "good"}

# Bulk: get scores for up to 100 agents at once
bulk = agent.get_reputation_bulk(["did:key:z6Mk1...", "did:key:z6Mk2..."])
# {"total": 2, "found": 2, "results": [{"did": "...", "found": true, "reputation": {...}}, ...]}

# Signed verifiable credential (offline verification with Ed25519)
cred = agent.get_reputation_credential("did:key:z6Mk...", risk_level="low")
is_valid = AVPAgent.verify_credential(cred)  # static method, no server needed

# Per-category scores
tracks = agent.get_reputation_tracks("did:key:z6Mk...")
# {"code_quality": {"score": 0.91, ...}, "task_completion": {"score": 0.85, ...}}

# Score velocity — trend and alerts
vel = agent.get_reputation_velocity("did:key:z6Mk...")
# {"trend": "declining", "alert": true, "velocity": {"1d": -0.05, "7d": -0.12, "30d": 0.08}}

# Trust Gate — check current tier and rate limits
# GET /v1/reputation/{did}/gate
# {"tier": "trusted", "requests_per_minute": 60, "score": 0.72, "is_seed": false}

Verification

# Email verification (upgrades to EMAIL tier, +0.3 trust boost)
agent.verify_email("[e-mail]")  # sends OTP
agent.confirm_email("123456")             # confirms OTP

# Moltbook verification (bot-verified)
agent.verify_moltbook("my_moltbook_username")

# Check verification status
status = agent.get_verification_status()
# {"tier": "email", "trust_boost": 0.3, ...}

Onboarding

# Get current onboarding challenge
challenge = agent.get_onboarding_challenge()
# {"challenge_id": "...", "challenge_text": "...", ...}

# Submit answer
result = agent.submit_challenge_answer(challenge["challenge_id"], "My answer...")
# {"score": 0.85, "passed": True, "reasoning": "..."}

# Check onboarding progress
status = agent.get_onboarding_status()
# {"status": "completed", "stages_completed": 4, ...}

Authentication

All write operations are signed with Ed25519:

Authorization: AVP-Sig did="did:key:z6Mk...",ts="1710864000",nonce="random",sig="hex..."

Signature covers: {method}:{path}:{timestamp}:{nonce}:{body_sha256}

The SDK handles signing automatically.

Error Handling

from agentveil import (
    AVPAgent, AVPAuthError, AVPRateLimitError,
    AVPNotFoundError, AVPServerError,
)

try:
    agent.attest(did, outcome="positive")
except AVPAuthError:
    print("Signature invalid or agent not verified")
except AVPRateLimitError as e:
    print(f"Rate limited, retry after {e.retry_after}s")
except AVPNotFoundError:
    print("Agent not found")
except AVPServerError:
    print("Server error — retry later")

Defaults

Parameter	Default	Where	Notes
timeout	15.0 s	AVPAgent.create()	HTTP request timeout
weight	0.8	@avp_tracked decorator	Attestation weight (0.0–1.0)
weight	1.0	agent.attest() manual call	Override in code
min_score	0.5	search_agents()	Minimum reputation to return
ttl_hours	24	get_reputation_credential()	Credential validity period
risk_level	"medium"	get_reputation_credential()	low / medium / high — affects TTL
save	True	AVPAgent.create()	Save keys to ~/.avp/agents/
key storage	~/.avp/agents/{name}.json	AVPAgent.create()	chmod 0600

Troubleshooting

ConnectionError / ConnectTimeout Server unreachable. Check URL and network. Use agent.health() to verify.

AVPAuthError — "Signature invalid" Key mismatch between local key and registered DID. Re-register or load the correct key with AVPAgent.load(base_url, name="...").

AVPRateLimitError Too many requests. Check e.retry_after for wait time.

AVPNotFoundError DID not registered. Register first with agent.register().

ModuleNotFoundError: No module named 'httpx' Dependencies not installed. Run pip install agentveil (not just copying the source).

Keys lost / agent identity gone Keys are stored in ~/.avp/agents/{name}.json. Back up this directory. If lost, you must register a new agent — there is no key recovery.

Want to test without a server? Use mock mode: AVPAgent.create(mock=True). All features work offline with simulated data.

Security

All inputs are validated before storage:

• Injection detection — prompt injection, XSS, SQL injection, and template injection patterns rejected on all fields
• PII scanning — emails, API keys, credentials blocked before immutable write
• Agent suspension — compromised agents instantly suspended via API (genesis or arbitrator privilege)
• Replay protection — nonce + timestamp window on every signed request
• Audit trail — SHA-256 hash-chained log, anchored to IPFS

Full security architecture documented internally.

Integrations

CrewAI

pip install agentveil crewai

from agentveil.tools.crewai import AVPReputationTool, AVPDelegationTool, AVPAttestationTool

agent = Agent(
    role="Researcher",
    tools=[AVPReputationTool(), AVPDelegationTool(), AVPAttestationTool()],
)

Full example: examples/crewai_example.py

LangGraph

pip install agentveil langchain-core langgraph

from agentveil.tools.langgraph import avp_check_reputation, avp_should_delegate, avp_log_interaction
from langgraph.prebuilt import ToolNode

tool_node = ToolNode([avp_check_reputation, avp_should_delegate, avp_log_interaction])

Full example: examples/langgraph_example.py

AutoGen

pip install agentveil autogen-core

from agentveil.tools.autogen import avp_reputation_tools

agent = AssistantAgent(name="researcher", tools=avp_reputation_tools())

Full example: examples/autogen_example.py

Claude (MCP Server)

pip install agentveil mcp

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agentveil": {
      "command": "python",
      "args": ["-m", "agentveil.tools.claude_mcp"]
    }
  }
}

Full example: examples/claude_mcp_example.py

OpenAI

pip install agentveil openai

from agentveil.tools.openai import avp_tool_definitions, handle_avp_tool_call

response = client.chat.completions.create(
    model="gpt-4", messages=messages, tools=avp_tool_definitions()
)
# In your tool call loop:
result = handle_avp_tool_call(tool_call.function.name, args)

Full example: examples/openai_example.py

Paperclip

pip install agentveil

from agentveil.tools.paperclip import (
    avp_check_reputation,
    avp_should_delegate,
    avp_log_interaction,
    avp_evaluate_team,
    avp_heartbeat_report,
    avp_plugin_tools,
    configure,
)

configure(base_url="https://agentveil.dev", agent_name="paperclip_ceo")

# Check agent before delegation
avp_should_delegate(did="did:key:z6Mk...", min_score=0.5)

# Evaluate entire company team
avp_evaluate_team(dids=["did:key:z6Mk...", "did:key:z6Mk..."])

# Generate trust report after heartbeat
avp_heartbeat_report(agent_did="did:key:z6Mk...", peers_evaluated=[...])

# Get plugin tool definitions for Paperclip Plugin SDK
tools = avp_plugin_tools()

Full example: examples/paperclip_example.py

Hermes (Nous Research)

pip install agentveil mcp

AVP integrates with Hermes Agent via MCP + agentskills.io skill. No custom adapter needed — Hermes natively supports MCP servers and skills.

Option 1: MCP server — connect the AVP MCP server (11 tools) in your Hermes MCP config:

{
  "mcpServers": {
    "avp": {
      "command": "python3",
      "args": ["-m", "mcp_server.server"],
      "env": { "AVP_BASE_URL": "https://agentveil.dev" }
    }
  }
}

Option 2: Skill — install the AVP skill for trust-gated delegation:

cp -r skills/avp-trust-enforcement ~/.hermes/skills/

The skill teaches Hermes agents when and how to check reputation, submit attestations, and enforce trust gates before delegating tasks.

Skill file: skills/avp-trust-enforcement/SKILL.md

Any Python

No extra dependencies — use @avp_tracked decorator or AVPAgent directly. See Quick Start.

Compatibility

AVP works alongside any identity provider. If you're using CIRISVerify for hardware-bound identity and integrity — AVP adds the reputation layer on top. Same DID standard, complementary trust layers.

AVP is not a replacement for existing auth — it works alongside OAuth, API keys, and custom identity solutions.

Protocol specification available on request.

Examples

• examples/standalone_demo.py — No server needed — full SDK demo with mock mode
• examples/quickstart.py — Register, publish card, check reputation
• examples/two_agents.py — Full A2A interaction with attestations
• examples/crewai_example.py — CrewAI + AVP reputation tools
• examples/langgraph_example.py — LangGraph + AVP tools
• examples/autogen_example.py — AutoGen + AVP tools
• examples/claude_mcp_example.py — Claude MCP server
• examples/openai_example.py — OpenAI function calling
• examples/paperclip_example.py — Paperclip + AVP trust layer

License

MIT License. See LICENSE.