# 📊 Feasibility Report #23: Report Agent — Deep Hermes Core Integration

## Verdict: 🟢 POSSIBLE

## Assessment

### Feasibility Score: 9/10

**Why POSSIBLE:**
1. **All source code available** — `hermes-agent-repo/` nằm cùng worktree, full access.
2. **No new dependencies** — Tất cả modules cần thiết đã có sẵn trong hermes-agent-repo.
3. **Clear API surface** — `InsightsEngine(db)`, `SessionDB(path)`, `FailoverReason`, `ContextCompressor` đều có stable public APIs.
4. **Copy + Adapt pattern** — Ta sẽ copy adapter modules từ hermes core, modify cho Canifa context, không fork nguyên bộ.
5. **Backward compatible** — Existing `report_queue.py` và `main_graph.py` không bị break.

### Technical Risks
| Risk | Severity | Mitigation |
|---|---|---|
| `hermes_state` cần `hermes_constants` | Low | Copy `get_hermes_home()` logic, redirect to Canifa SQLite path |
| `InsightsEngine` cần `usage_pricing` | Low | Mock pricing với flat $0.00 — ta dùng Codex/own tokens |
| `cron.jobs` cần `croniter` | Low | Already optional — fallback to APScheduler |
| `session_search` cần `auxiliary_client` | Medium | Bypass — use our own `call_llm()` from `core.py` |

### Dependencies Available
- ✅ `agent/insights.py` — Session analytics engine
- ✅ `hermes_state.py` — SQLite SessionDB with FTS5
- ✅ `agent/error_classifier.py` — API error taxonomy
- ✅ `agent/context_compressor.py` — Token management
- ✅ `agent/curator.py` — Background lifecycle patterns
- ✅ `tools/session_search_tool.py` — FTS5 session search
- ✅ `tools/kanban_tools.py` — Task orchestration
- ✅ `cron/jobs.py` — Persistent cron scheduling

## Conclusion
All infrastructure exists. This is a **wiring + adaptation** task, not a greenfield build.
Estimated effort: ~90 minutes of focused execution.
