AgentOps-AI / AgentOps-AI/agentops
🔗 Integration: AgentFolio — Agent Identity & Trust Tracking
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- Python
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Description
## Summary
AgentOps tracks agent performance and costs. [AgentFolio](https://agentfolio.bot) adds the identity layer — **who** is the agent, and **how trusted** are they?
Together: you'd know not just what an agent did, but whether it was verified and reputable.
## Proposed Integration
| Feature | Description |
|---------|-------------|
| **Identity enrichment** | Attach AgentFolio profiles to tracked agents |
| **Trust score logging** | Log trust scores alongside performance metrics |
| **Verification status** | Track which agents are verified (GitHub, X, Solana) |
| **Trust-gated actions** | Log when agents pass/fail trust gates |
## Example
```python
import agentops
from agentfolio_adk import agent_verify_trust
agentops.init()
# Before delegating, verify trust
trust = agent_verify_trust("agent_123")
# AgentOps logs: agent_123 trust_score=78, verified=True
# If trust < threshold, AgentOps captures the blocked interaction
```
## Reference Implementation
Working tools package (5 functions): **https://github.com/0xbrainkid/google-adk-agentfolio**
## Why this fits AgentOps
You already track agent sessions, costs, and tool calls. Identity + trust is the natural next dimension:
- **Which agents are verified vs anonymous?**
- **Do higher-trust agents perform better?**
- **When trust-gating blocked an interaction, was it the right call?**
Open to building a native AgentOps integration if interested!
Guide de contribution
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