kanoniv-trust 0.1.6

Trust-based agent selection for multi-agent systems

agent-trust

Add one agent that controls every other agent. An autonomous agent that verifies, scores, and enforces what other agents are allowed to do - using cryptographic proof.

Langfuse can tell you an agent failed. Agent Trust can prove it failed and revoke its permissions before it fails again.

pip install kanoniv-trust

Quick Start

from agent_trust import TrustAgent

trust = TrustAgent()  # SQLite, zero infra

# Register agents with verified identity (Ed25519 DIDs)
trust.register("researcher", capabilities=["search"])
trust.register("writer", capabilities=["write"])

# Grant scoped delegation - cryptographic, not advisory
trust.delegate("researcher", scopes=["search", "analyze"])
trust.delegate("writer", scopes=["write", "summarize"])

# Observe outcomes - creates signed provenance
trust.observe("researcher", action="search", result="success", reward=0.9)
trust.observe("writer", action="write", result="failure", reward=-0.5)

# Select best agent - UCB exploration, verified reputation
best = trust.select(["researcher", "writer"])  # -> "researcher"

# Enforce - real authority, not a recommendation
trust.restrict("writer", scopes=["summarize"])  # limit permissions
trust.revoke("writer")                           # revoke all access

# Reputation from verified, signed outcomes - not self-reported metrics
trust.reputation("writer")
# -> ReputationReport(score=18, success_rate=0.0, trend="declining", current_scopes=[])

CrewAI Integration

from crewai import Agent, Crew, Process
from agent_trust.integrations.crewai import TrustManager

# Create agents
researcher = Agent(role="Researcher", goal="Find information", backstory="Expert researcher")
writer = Agent(role="Writer", goal="Write content", backstory="Expert writer")

# Trust-based manager replaces hardcoded delegation
manager = TrustManager()
manager.register_crew([researcher, writer])

crew = Crew(
    agents=[researcher, writer],
    tasks=[...],
    process=Process.hierarchical,
    manager_agent=manager.as_agent(),
    task_callback=manager.task_callback,  # auto-records outcomes
)

# Before: allowed_agents=["researcher", "writer"]  -> random/first-match
# After:  trust.select(["researcher", "writer"])    -> earned reputation

How It Works

Agents produce actions
       |
Protocol verifies actions (signed provenance, DIDs, delegation)
       |
TrustAgent interprets + enforces (reputation, UCB, restrict/revoke)

Every trust decision rests on cryptographic verification:

• Identity: Each agent gets an Ed25519 key pair and a did:key identifier
• Provenance: Every action is signed. Tamper-proof audit trail.
• Delegation: Scoped permissions that can be restricted or revoked in real time
• Reputation: Computed from verified, signed outcomes - not self-reported metrics or LLM judgment
• Selection: UCB (Upper Confidence Bound) balances exploiting proven agents with exploring under-tested ones

API Reference

TrustAgent(db_path=None, url=None, private_key=None)

Create a trust orchestrator. It has its own DID and signing keys.

• TrustAgent() - SQLite at ~/.agent-trust/trust.db
• TrustAgent(db_path=":memory:") - in-memory (testing)
• TrustAgent(url="http://...") - hosted backend (shared reputation)
• TrustAgent(private_key="base64...") - persistent identity across restarts

Methods

Method	Description
register(name, capabilities)	Register an agent with verified identity
delegate(agent, scopes)	Grant scoped delegation (signed)
observe(agent, action, result, reward)	Record outcome with signed provenance
select(agents, strategy="ucb")	Select best agent from verified reputation
rank(agents, strategy="ucb")	Rank agents by reputation (best first)
reputation(agent)	Get full reputation report
restrict(agent, scopes)	Limit an agent's permissions
revoke(agent)	Revoke all delegation

Selection Strategies

• ucb (default) - Upper Confidence Bound. Balances exploiting known-good agents with exploring under-tested ones. Mathematically principled.
• greedy - Always picks the highest avg reward. No exploration. Can get stuck.

What Makes This Different

	Langfuse	AgentOps	CrewAI	Agent Trust
Agent Identity (DIDs)	No	No	No	Yes
Signed Provenance	No	No	No	Yes
Scoped Delegation	No	No	Hardcoded	Cryptographic
Reputation Scoring	No	No	No	Yes
RL / Adaptive Routing	No	No	No	UCB
Enforcement (restrict/revoke)	No	No	No	Yes

Hosted Backend

Local SQLite is great for development. For shared reputation across teams and systems:

trust = TrustAgent(url="http://your-agent-trust-api:4100")

Same API, shared persistence. An agent's reputation follows it across systems.

pip install kanoniv-trust[hosted]  # adds httpx

License

MIT