# AgentOps Phase 1: Real Synthesis Test Results ✅
## Test Run Summary
**Run ID**: `run_2026-01-29T10-51-33-200Z_hak2ux`
**Mode**: REAL SYNTHESIS (with API key)
**Status**: ✅ SUCCESS
---
## What Worked
### 1. Signal Collection ✅
Collected **30 signals** from 4 sources:
- ✓ **repo**: 3 GitHub commits (via Octokit)
- ✓ **arxiv**: 12 research papers
- ✓ **rss**: 5 OpenAI news items
- ✓ **html**: 11 articles (Anthropic, Google blogs)
### 2. LLM Synthesis ✅
- Provider: **Anthropic Claude Sonnet 4.5**
- Cost: **$0.069** (well under $10 budget)
- Time: **80 seconds** (well under 30 min limit)
- Proposals: **3 generated**
### 3. Evidence Quality ✅
All proposals have **real evidence URLs**:
**Proposal 1**: Audit Trail System
- Evidence: arXiv paper + GitHub governance commit
- URLs: `arxiv.org/abs/2601.20727v1`, `commit/49e6947f`
**Proposal 2**: MCP SDK Compatibility Tests
- Evidence: GitHub SDK bump commits
- URLs: `commit/e8bb4b47`, `commit/34204b00`
**Proposal 3**: Evaluation Harness
- Evidence: Multiple arXiv papers
- URLs: `arxiv.org/abs/2601.20730v1`, `arxiv.org/abs/2506.07972v2`
### 4. Digest Quality ✅
Generated **12 digest items** from real signals:
- Recent GitHub commits (MCP SDK bump, governance, loop fixes)
- Relevant arXiv papers (AgentLongBench, audit trails, memory management)
- OpenAI blog (AI agent link safety)
- Google blog (Gemini 3 launch)
Each item has contextual "why it matters" explanation for Thoughtbox.
---
## Sample Proposal (Full Structure)
```json
{
"proposal_id": "proposal-1",
"title": "Implement Audit Trail System for Thought Execution in Observatory",
"category": "reliability",
"effort_estimate": "M",
"risk": "low",
"evidence": [
"http://arxiv.org/abs/2601.20727v1",
"https://github.com/Kastalien-Research/thoughtbox/commit/49e6947f"
],
"why_now": [
"Recent paper on audit trails highlights process transparency",
"Governance commit signals focus on operational maturity"
],
"expected_impact": {
"users": ["Developers debugging", "Compliance teams"],
"outcome": "Reduce debugging time by 40% through deterministic replay"
},
"design_sketch": "Extend Observatory to capture structured audit log... (detailed)",
"touch_points": [
"src/observatory/",
"src/core/thought-handler.ts",
"src/core/loop-interface.ts"
],
"test_plan": [
"Unit: verify audit log serialization, SHA256 chain integrity",
"Integration: multi-turn conversation, query Observatory API",
"Regression: ensure no performance degradation >5%"
],
"rollout": "Feature-flag audit logging (default off)... (detailed)",
"rollback": "Toggle feature flag to disable audit log writes",
"acceptance": [
"100% of tool invocations appear in audit logs",
"Observatory UI displays trail within 200ms",
"Cryptographic chain verification passes"
]
}
```
---
## Comparison: FIXTURE vs REAL
| Aspect | FIXTURE MODE | REAL MODE |
|--------|-------------|-----------|
| **Signal Collection** | None | 30 signals from 4 sources |
| **LLM Calls** | None | 1 call to Claude Sonnet 4.5 |
| **Cost** | $0.00 | $0.069 |
| **Time** | ~1 second | 80 seconds |
| **Evidence URLs** | Fake (hardcoded) | Real (from signals) |
| **Digest** | Hardcoded bullets | 12 contextual items |
| **Proposals** | Example data | LLM-generated from signals |
| **Issue Banner** | ⚠️ FIXTURE MODE warning | None (clean) |
---
## Artifacts Generated
All in: `agentops/runs/run_2026-01-29T10-51-33-200Z_hak2ux/`
1. **digest.md** - 12 real signal items with URLs
2. **proposals.json** - 3 proposals with evidence arrays
3. **issue_body.md** - GitHub issue (no FIXTURE banner)
4. **run_summary.json** - Metrics and metadata
---
## Performance Metrics
```json
{
"status": "SUCCEEDED",
"llm_cost_usd": 0.069,
"wall_clock_seconds": 80,
"proposals_emitted": 3,
"budgets": {
"max_llm_cost_usd": 10.0,
"max_wall_clock_minutes": 30
}
}
```
**Budget Usage**:
- Cost: 0.7% of budget ($0.069 / $10)
- Time: 4.4% of budget (80s / 1800s)
---
## Success Criteria
✅ Signal collection from 4 sources
✅ LLM synthesis with real API key
✅ Proposals have evidence URLs from signals
✅ Digest has real URLs with context
✅ No FIXTURE MODE banner
✅ Cost well under budget
✅ Time well under limit
✅ Valid proposals.json schema
✅ All 14 tests passing
---
## Next Steps
Phase 1 is **COMPLETE** and **VALIDATED** with real data:
1. ✅ **Implementation**: All code written and tested
2. ✅ **Unit Tests**: 14/14 passing
3. ✅ **FIXTURE MODE**: Works without API key
4. ✅ **REAL MODE**: Works with API key
5. ⏭️ **Phase 2**: Ready for approval workflow automation
---
## Key Insights from Real Run
1. **Signal Quality**: GitHub commits are highly relevant (recent SDK bumps)
2. **arXiv Relevance**: Papers match Thoughtbox domain (agent eval, audit trails)
3. **LLM Quality**: Claude synthesized coherent proposals from diverse signals
4. **Evidence Linking**: LLM correctly paired papers with commits (governance + audit)
5. **Cost Efficiency**: <$0.07 per run is sustainable for daily automation
---
**Phase 1 Status**: ✅ PRODUCTION READY
