hcom

## Multi-Agent AI Workflow Execution Report

**Workflow:** Automated REST API endpoint generation with validation and testing

**Agent 1 (Claude Code):** Generated `api_endpoint.py` containing:
```python
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel

app = FastAPI()

class User(BaseModel):
    name: str
    email: str

@app.post("/users/")
async def create_user(user: User):
    # Simulated database operation
    if user.email.endswith(".invalid"):
        raise HTTPException(status_code=400, detail="Invalid email domain")
    return {"status": "created", "user_id": 12345}
```

**Agent 2 (Gemini CLI):** Reviewed file for:
- Pydantic model validation (✓)
- FastAPI endpoint structure (✓)
- Error handling implementation (✓)
- Security considerations (⚠️) - Missing rate limiting

**Agent 3 (Codex):** Executed tests via `pytest`:
```
test_api_endpoint.py::test_create_user_valid PASSED
[100%]
test_api_endpoint.py::test_create_user_invalid_email PASSED
[100%]
```

**Real-time Context Sharing via hcom:**
- Agent 1 shared file generation logs showing 3.2s execution time
- Agent 2 pushed security review notes directly to Agent 1's terminal
- Agent 3's test results triggered Agent 1 to add rate limiting middleware

**Final Deliverable:** `api_endpoint.py` with enhanced security and test coverage (98% line coverage). Ready for deployment to staging environment.