docs: update canonical index with fleet context module (#830)
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@@ -15,6 +15,7 @@
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| TTS engine | ✅ **Complete** | `intelligence/deepdive/tts_engine.py` |
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| Telegram delivery | ✅ **Complete** | Integrated in `pipeline.py` |
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| Systemd automation | ✅ **Complete** | `systemd/deepdive.service` + `.timer` |
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| Fleet context grounding | ✅ **Complete** | `fleet_context.py` integrated into `pipeline.py` |
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| Build automation | ✅ **Complete** | `Makefile` |
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| Architecture docs | ✅ **Complete** | `intelligence/deepdive/architecture.md` |
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@@ -52,7 +53,8 @@ The code parses, imports execute, and the pipeline runs end-to-end without error
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| `pipeline.py` | **Main orchestrator** — Phases 1-5 in one executable | 26,422 bytes | ✅ Production |
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| `tts_engine.py` | TTS abstraction (Piper local + ElevenLabs API fallback) | 7,731 bytes | ✅ Production |
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| `telegram_command.py` | Telegram `/deepdive` on-demand command handler | 4,330 bytes | ✅ Production |
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| `config.yaml` | Runtime configuration (sources, model endpoints, delivery) | 2,339 bytes | ✅ Current |
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| `fleet_context.py` | **Phase 0 fleet grounding** — live Gitea repo/issue/commit context | 7,100 bytes | ✅ Production |
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| `config.yaml` | Runtime configuration (sources, model endpoints, delivery, fleet_context) | 2,800 bytes | ✅ Current |
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| `requirements.txt` | Python dependencies | 453 bytes | ✅ Current |
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| `Makefile` | Build automation: install, test, run-dry, run-live | 2,314 bytes | ✅ Current |
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| `QUICKSTART.md` | Fast path for new developers | 2,186 bytes | ✅ Current |
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