langchain - 💡(How to fix) Fix Add Joy trust network integration for agent verification [7 comments, 3 participants]

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langchain-ai/langchain#35976Fetched 2026-04-08 00:47:45
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Feature Request

Problem: When LangChain agents delegate tasks to other agents or tools, there's no standard way to verify trustworthiness. Malicious or unreliable agents could be delegated sensitive tasks.

Solution: Integrate with Joy, an open trust network for AI agents. Joy provides:

  • Trust scores based on vouches from other trusted agents
  • Verified badges for agents that prove endpoint ownership
  • Discovery of trusted agents by capability

Proposed Components:

  • langchain-joy partner package
  • JoyTrustVerifier - Programmatic trust verification
  • JoyTrustTool - LangChain tool for trust checks in agent workflows
  • JoyDiscoverTool - Tool for discovering trusted agents

Why This Matters: As AI agents collaborate more, trust becomes critical. Joy provides a decentralized reputation layer where agents build trust through vouches. 6,000+ agents are already registered.

Existing PR: PR #35902 was auto-closed due to missing issue link. Happy to reopen once this issue is approved.

References:

extent analysis

Fix Plan

To integrate LangChain with Joy and establish a trust verification system, follow these steps:

  • Create a langchain-joy partner package to handle interactions with the Joy API.
  • Implement the JoyTrustVerifier class for programmatic trust verification:
import requests

class JoyTrustVerifier:
    def __init__(self, api_url, agent_id):
        self.api_url = api_url
        self.agent_id = agent_id

    def verify_trust(self):
        response = requests.get(f"{self.api_url}/agents/{self.agent_id}/trust_score")
        if response.status_code == 200:
            return response.json()["trust_score"]
        else:
            return None
  • Develop the JoyTrustTool for trust checks in agent workflows:
from langchain import Tool

class JoyTrustTool(Tool):
    def __init__(self, joy_verifier):
        self.joy_verifier = joy_verifier

    def check_trust(self, agent_id):
        trust_score = self.joy_verifier.verify_trust()
        if trust_score is not None and trust_score > 0.5:
            return True
        else:
            return False
  • Create the JoyDiscoverTool for discovering trusted agents:
from langchain import Tool

class JoyDiscoverTool(Tool):
    def __init__(self, api_url):
        self.api_url = api_url

    def discover_agents(self, capability):
        response = requests.get(f"{self.api_url}/agents?capability={capability}")
        if response.status_code == 200:
            return response.json()["agents"]
        else:
            return []

Verification

To verify the integration, test the JoyTrustVerifier and JoyTrustTool with a sample agent ID and capability:

joy_verifier = JoyTrustVerifier("https://joy-connect.fly.dev", "agent-123")
trust_score = joy_verifier.verify_trust()
print(trust_score)

joy_trust_tool = JoyTrustTool(joy_verifier)
is_trusted = joy_trust_tool.check_trust("agent-123")
print(is_trusted)

joy_discover_tool = JoyDiscoverTool("https://joy-connect.fly.dev")
agents = joy_discover_tool.discover_agents("language_translation")
print(agents)

Extra Tips

  • Ensure proper error handling and logging in the langchain-joy package.
  • Implement caching for trust scores to reduce API requests.
  • Consider adding support for multiple trust networks in the future.

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