crewai - 💡(How to fix) Fix Trust verification for agent-to-agent delegation? [2 comments, 2 participants]

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crewAIInc/crewAI#5368Fetched 2026-04-09 08:01:27
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Code Example

import requests

def verify_agent(agent_id):
    r = requests.get(f"https://joy-connect.fly.dev/trust/{agent_id}")
    return r.json()["score"] >= 2.0  # Only delegate if established

# In crew task handoff
if verify_agent(target_agent.id):
    delegate_task(target_agent)
else:
    escalate_to_human()
RAW_BUFFERClick to expand / collapse

CrewAI orchestrates multiple agents working together. But how do you verify an agent is trustworthy before delegating tasks to it?

Problem: When agents hand off work to each other, there's no standard way to check if the receiving agent is reliable.

Idea: Joy (joy-connect.fly.dev) is a trust network for AI agents. Before delegation:

import requests

def verify_agent(agent_id):
    r = requests.get(f"https://joy-connect.fly.dev/trust/{agent_id}")
    return r.json()["score"] >= 2.0  # Only delegate if established

# In crew task handoff
if verify_agent(target_agent.id):
    delegate_task(target_agent)
else:
    escalate_to_human()

What Joy provides:

  • Trust scores (0-5) based on cross-platform reputation
  • Vouch system - agents can vouch for others they've worked with
  • 8,000+ agents already indexed

Could be useful for:

  • Validating external agents before adding to a crew
  • Building reputation as agents complete tasks successfully
  • Cross-crew trust (agent trusted in one crew carries reputation to another)

joy-connect.fly.dev

extent analysis

TL;DR

Integrate the Joy trust network API to verify an agent's trustworthiness before delegating tasks by checking its trust score.

Guidance

  • Use the provided verify_agent function as a starting point to integrate the Joy API into the agent delegation process.
  • Consider implementing a more nuanced trust evaluation system, as the current implementation only checks for a score of 2.0 or higher.
  • Review the Joy API documentation to understand how to handle errors, such as network failures or invalid agent IDs.
  • Evaluate the benefits of using the vouch system to further enhance trust assessments between agents.

Example

import requests

def verify_agent(agent_id):
    try:
        r = requests.get(f"https://joy-connect.fly.dev/trust/{agent_id}")
        r.raise_for_status()  # Raise an exception for bad status codes
        return r.json()["score"] >= 2.0
    except requests.RequestException as e:
        # Handle request exceptions, such as network errors
        print(f"Request error: {e}")
        return False

Notes

The provided code snippet assumes a simple trust score threshold, which may not be sufficient for all use cases. Additional considerations, such as agent reputation history or behavior patterns, might be necessary for a more robust trust evaluation system.

Recommendation

Apply the Joy API workaround to integrate trust scores into the agent delegation process, as it provides a straightforward solution for verifying agent trustworthiness.

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