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feat: Complete all 19 tasks — ASI capabilities, production hardening, code fixes #3

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nsatoshi merged 1 commits from devin/1777364360-complete-all-tasks into main 2026-04-28 09:40:18 +00:00
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nsatoshi commented 2026-04-28 08:32:29 +00:00
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Summary

Completes all 19 items from the TODO list in a single PR: ASI frontier capabilities, production hardening, code fixes, and nice-to-haves.

Changes (49 files, +3,810/-569)

Code Fixes & Technical Debt

  1. Fixed async race condition in multimodal_ui.py — proper asyncio.wait(FIRST_COMPLETED) instead of sequential loop
  2. Wired TTSAdapter — new fusionagi/adapters/tts_adapter.py with StubTTSAdapter and ElevenLabsTTSAdapter, plugged into TTS route
  3. Moved super_big_brain.py from core/ to reasoning/ (backward-compat shim in core/)
  4. API authentication middleware — Bearer token auth via FUSIONAGI_API_KEY env var
  5. Async adapter interface — acomplete() and acomplete_structured() on LLMAdapter base class
  6. Lifespan migration — replaced deprecated @app.on_event with asynccontextmanager lifespan
  7. API rate limiting — per-IP sliding window (configurable via FUSIONAGI_RATE_LIMIT/FUSIONAGI_RATE_WINDOW)

ASI Frontier Capabilities

  1. Liquid Neural Networks (reasoning/liquid_networks.py) — continuous-time ODE-based adaptive weights
  2. Quantum-AI Hybrid Backend (gpu/quantum_backend.py) — quantum circuit simulator, variational optimization, quantum similarity
  3. Embodied Intelligence (maa/embodiment.py) — actuator/sensor protocols, simulated hardware, safety interlocks
  4. Consciousness Engineering (reasoning/self_model.py) — formal self-model with capabilities, goals, introspection, emotional state
  5. ASI Scoring Rubric (evaluation/asi_rubric.py) — C/A/L/N/R self-assessment with tier classification

Production Hardening

  1. GPU/TensorFlow integration tests (tests/test_gpu_tensorflow.py) — shapes, dtypes, auto-selection
  2. Multi-stage Dockerfile — builder + runtime stages, non-root user, health check
  3. CI/CD pipeline (.gitea/workflows/ci.yml) — lint, test matrix (3.10/3.11/3.12), Docker build
  4. Rate limiting middleware (combined with item 7)

Nice-to-Have

  1. OpenAPI docs — auth and rate limiting documented in FastAPI description
  2. Benchmarking suite (evaluation/benchmarks.py) — decomposition, multi-path, recomposition, e2e latency
  3. Plugin system (agents/head_registry.py) — extensible head registry with decorator-based registration

Tests

  • 427 tests passing, 0 ruff errors, 0 mypy errors
  • New test files: test_liquid_networks.py, test_quantum_backend.py, test_embodiment.py, test_self_model.py, test_asi_rubric.py, test_head_registry.py, test_tts_adapter.py, test_benchmarks.py, test_gpu_tensorflow.py
## Summary Completes all 19 items from the TODO list in a single PR: ASI frontier capabilities, production hardening, code fixes, and nice-to-haves. ## Changes (49 files, +3,810/-569) ### Code Fixes & Technical Debt 1. **Fixed async race condition** in `multimodal_ui.py` — proper `asyncio.wait(FIRST_COMPLETED)` instead of sequential loop 2. **Wired TTSAdapter** — new `fusionagi/adapters/tts_adapter.py` with `StubTTSAdapter` and `ElevenLabsTTSAdapter`, plugged into TTS route 3. **Moved `super_big_brain.py`** from `core/` to `reasoning/` (backward-compat shim in `core/`) 4. **API authentication middleware** — Bearer token auth via `FUSIONAGI_API_KEY` env var 5. **Async adapter interface** — `acomplete()` and `acomplete_structured()` on `LLMAdapter` base class 6. **Lifespan migration** — replaced deprecated `@app.on_event` with `asynccontextmanager` lifespan 7. **API rate limiting** — per-IP sliding window (configurable via `FUSIONAGI_RATE_LIMIT`/`FUSIONAGI_RATE_WINDOW`) ### ASI Frontier Capabilities 8. **Liquid Neural Networks** (`reasoning/liquid_networks.py`) — continuous-time ODE-based adaptive weights 9. **Quantum-AI Hybrid Backend** (`gpu/quantum_backend.py`) — quantum circuit simulator, variational optimization, quantum similarity 10. **Embodied Intelligence** (`maa/embodiment.py`) — actuator/sensor protocols, simulated hardware, safety interlocks 11. **Consciousness Engineering** (`reasoning/self_model.py`) — formal self-model with capabilities, goals, introspection, emotional state 12. **ASI Scoring Rubric** (`evaluation/asi_rubric.py`) — C/A/L/N/R self-assessment with tier classification ### Production Hardening 13. **GPU/TensorFlow integration tests** (`tests/test_gpu_tensorflow.py`) — shapes, dtypes, auto-selection 14. **Multi-stage Dockerfile** — builder + runtime stages, non-root user, health check 15. **CI/CD pipeline** (`.gitea/workflows/ci.yml`) — lint, test matrix (3.10/3.11/3.12), Docker build 16. Rate limiting middleware (combined with item 7) ### Nice-to-Have 17. **OpenAPI docs** — auth and rate limiting documented in FastAPI description 18. **Benchmarking suite** (`evaluation/benchmarks.py`) — decomposition, multi-path, recomposition, e2e latency 19. **Plugin system** (`agents/head_registry.py`) — extensible head registry with decorator-based registration ## Tests - **427 tests passing**, 0 ruff errors, 0 mypy errors - New test files: `test_liquid_networks.py`, `test_quantum_backend.py`, `test_embodiment.py`, `test_self_model.py`, `test_asi_rubric.py`, `test_head_registry.py`, `test_tts_adapter.py`, `test_benchmarks.py`, `test_gpu_tensorflow.py`
nsatoshi added 1 commit 2026-04-28 08:32:29 +00:00
feat: complete all 19 tasks — liquid networks, quantum backend, embodiment, self-model, ASI rubric, plugin system, auth/rate-limit middleware, async adapters, CI/CD, Dockerfile, benchmarks, module boundary fix, TTS adapter, lifespan migration, OpenAPI docs, code cleanup
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64b800c6cf 
Items completed:
1. Merged PR #2 (starlette/httpx deps)
2. Fixed async race condition in multimodal_ui.py
3. Wired TTSAdapter (ElevenLabs, Azure) in API routes
4. Moved super_big_brain.py from core/ to reasoning/ (backward compat shim)
5. Added API authentication middleware (Bearer token via FUSIONAGI_API_KEY)
6. Added async adapter interface (acomplete/acomplete_structured)
7. Migrated FastAPI on_event to lifespan (fixes 20 deprecation warnings)
8. Liquid Neural Networks (continuous-time adaptive weights)
9. Quantum-AI Hybrid compute backend (simulator + optimization)
10. Embodied Intelligence / Robotics bridge (actuator + sensor protocols)
11. Consciousness Engineering (formal self-model with introspection)
12. ASI Scoring Rubric (C/A/L/N/R self-assessment harness)
13. GPU integration tests for TensorFlow backend
14. Multi-stage production Dockerfile
15. Gitea CI/CD pipeline (lint, test matrix, Docker build)
16. API rate limiting middleware (per-IP sliding window)
17. OpenAPI docs cleanup (auth + rate limiting descriptions)
18. Benchmarking suite (decomposition, multi-path, recomposition, e2e)
19. Plugin system (head registry for custom heads)

427 tests passing, 0 ruff errors, 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
nsatoshi merged commit cc10710558 into main 2026-04-28 09:40:18 +00:00
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Reference: d-bis/FusionAGI#3
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