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

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>

tests/test_self_model.py

@@ -0,0 +1,94 @@
+"""Tests for Consciousness Engineering — formal self-model."""
+
+from __future__ import annotations
+
+from fusionagi.reasoning.self_model import (
+    AttentionFocus,
+    CognitiveState,
+    SelfModel,
+)
+
+
+class TestSelfModel:
+    def test_initial_state(self) -> None:
+        sm = SelfModel()
+        assert sm.cognitive_state == CognitiveState.IDLE
+        assert sm.attention_focus == AttentionFocus.TASK
+
+    def test_set_state(self) -> None:
+        sm = SelfModel()
+        sm.set_state(CognitiveState.REASONING, AttentionFocus.INTERNAL_STATE, "thinking hard")
+        assert sm.cognitive_state == CognitiveState.REASONING
+        assert sm.attention_focus == AttentionFocus.INTERNAL_STATE
+
+    def test_register_and_update_capability(self) -> None:
+        sm = SelfModel()
+        sm.register_capability("logic", "formal reasoning", initial_confidence=0.6)
+        sm.update_capability("logic", success=True)
+        sm.update_capability("logic", success=True)
+        sm.update_capability("logic", success=False)
+        report = sm.introspect()
+        assert "logic" in report["capabilities"]
+        assert report["capabilities"]["logic"]["evidence_count"] == 3
+
+    def test_goal_management(self) -> None:
+        sm = SelfModel()
+        sm.set_goal("g1", "Learn from mistakes", priority=0.9)
+        sm.update_goal_progress("g1", 0.5)
+        report = sm.introspect()
+        assert "g1" in report["goals"]
+        assert report["goals"]["g1"]["progress"] == 0.5
+
+    def test_goal_alignment_check(self) -> None:
+        sm = SelfModel()
+        sm.set_goal("g1", "Test goal")
+        sm._goals["g1"].aligned_with_values = False
+        warnings = sm.check_goal_alignment()
+        assert any("conflict" in w for w in warnings)
+
+    def test_emotional_state_update(self) -> None:
+        sm = SelfModel()
+        sm.update_emotional_state("confidence", 0.3)
+        report = sm.introspect()
+        assert report["emotional_state"]["confidence"] > 0.5
+
+    def test_emotional_state_clamped(self) -> None:
+        sm = SelfModel()
+        sm.update_emotional_state("confidence", 10.0)
+        assert sm._emotional_state["confidence"] == 1.0
+        sm.update_emotional_state("confidence", -20.0)
+        assert sm._emotional_state["confidence"] == 0.0
+
+    def test_explain_state(self) -> None:
+        sm = SelfModel()
+        sm.set_state(CognitiveState.REASONING, AttentionFocus.TASK)
+        explanation = sm.explain_state()
+        assert "reasoning" in explanation
+        assert "task" in explanation
+
+    def test_introspect_returns_all_fields(self) -> None:
+        sm = SelfModel()
+        report = sm.introspect()
+        assert "cognitive_state" in report
+        assert "attention_focus" in report
+        assert "capabilities" in report
+        assert "goals" in report
+        assert "values" in report
+        assert "emotional_state" in report
+        assert "recent_thoughts" in report
+
+    def test_introspection_log_trimming(self) -> None:
+        sm = SelfModel()
+        sm._max_log_size = 10
+        for i in range(200):
+            sm.set_state(CognitiveState.REASONING, thought=f"thought_{i}")
+        # After exceeding max_log_size, the log is trimmed to notable + last 100
+        assert len(sm._introspection_log) <= 120
+
+    def test_get_summary(self) -> None:
+        sm = SelfModel()
+        sm.register_capability("test", "test cap")
+        sm.set_goal("g1", "test goal")
+        summary = sm.get_summary()
+        assert summary["capabilities_count"] == 1
+        assert summary["goals_count"] == 1