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>
This commit is contained in:
@@ -2,9 +2,9 @@
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import pytest
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from fusionagi.planning.graph import get_step, next_step, topological_order
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from fusionagi.planning.strategies import dependency_order, get_strategy, linear_order
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from fusionagi.schemas.plan import Plan, PlanStep
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from fusionagi.planning.graph import topological_order, next_step, get_step
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from fusionagi.planning.strategies import linear_order, dependency_order, get_strategy
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class TestPlanValidation:
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@@ -73,7 +73,7 @@ class TestPlanValidation:
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fallback_paths=[["s1", "s2"]],
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)
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assert len(plan.fallback_paths) == 1
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# Invalid fallback path reference
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with pytest.raises(ValueError, match="invalid step references"):
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Plan(
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@@ -89,11 +89,11 @@ class TestPlanValidation:
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PlanStep(id="s2", description="Second"),
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]
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)
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step = plan.get_step("s1")
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assert step is not None
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assert step.description == "First"
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assert plan.get_step("nonexistent") is None
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def test_plan_get_dependencies(self):
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@@ -105,7 +105,7 @@ class TestPlanValidation:
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PlanStep(id="s3", description="Third", dependencies=["s1", "s2"]),
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]
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)
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deps = plan.get_dependencies("s3")
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assert len(deps) == 2
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assert {d.id for d in deps} == {"s1", "s2"}
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@@ -119,7 +119,7 @@ class TestPlanValidation:
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PlanStep(id="s3", description="Third", dependencies=["s1"]),
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]
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)
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dependents = plan.get_dependents("s1")
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assert len(dependents) == 2
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assert {d.id for d in dependents} == {"s2", "s3"}
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@@ -133,9 +133,9 @@ class TestPlanValidation:
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PlanStep(id="s2", description="Second", dependencies=["s1"]),
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]
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)
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order = plan.topological_order()
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# s1 must come before s2 and s3
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assert order.index("s1") < order.index("s2")
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assert order.index("s1") < order.index("s3")
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@@ -155,7 +155,7 @@ class TestPlanGraph:
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PlanStep(id="c", description="C", dependencies=["b"]),
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]
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)
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order = topological_order(plan)
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assert order == ["a", "b", "c"]
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@@ -169,9 +169,9 @@ class TestPlanGraph:
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PlanStep(id="final", description="Final", dependencies=["a", "b"]),
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]
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)
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order = topological_order(plan)
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# root must be first
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assert order[0] == "root"
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# final must be last
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@@ -188,11 +188,11 @@ class TestPlanGraph:
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PlanStep(id="s2", description="Step 2"),
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]
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)
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step = get_step(plan, "s1")
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assert step is not None
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assert step.description == "Step 1"
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assert get_step(plan, "nonexistent") is None
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def test_next_step(self):
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@@ -204,19 +204,19 @@ class TestPlanGraph:
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PlanStep(id="s3", description="Step 3", dependencies=["s2"]),
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]
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)
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# First call with no completed steps - s1 has no deps
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step_id = next_step(plan, completed_step_ids=set())
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assert step_id == "s1"
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# After completing s1 - s2 is available
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step_id = next_step(plan, completed_step_ids={"s1"})
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assert step_id == "s2"
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# After completing s1, s2 - s3 is available
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step_id = next_step(plan, completed_step_ids={"s1", "s2"})
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assert step_id == "s3"
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# All completed
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step_id = next_step(plan, completed_step_ids={"s1", "s2", "s3"})
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assert step_id is None
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@@ -234,7 +234,7 @@ class TestPlanningStrategies:
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PlanStep(id="s3", description="Third"),
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]
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)
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order = linear_order(plan)
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assert order == ["s1", "s2", "s3"]
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@@ -247,9 +247,9 @@ class TestPlanningStrategies:
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PlanStep(id="s2", description="Second", dependencies=["s1"]),
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]
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)
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order = dependency_order(plan)
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assert order.index("s1") < order.index("s2")
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assert order.index("s2") < order.index("s3")
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@@ -257,10 +257,10 @@ class TestPlanningStrategies:
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"""Test strategy getter."""
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linear = get_strategy("linear")
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assert linear == linear_order
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dep = get_strategy("dependency")
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assert dep == dependency_order
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# Unknown strategy defaults to dependency
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unknown = get_strategy("unknown")
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assert unknown == dependency_order
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@@ -277,9 +277,9 @@ class TestPlanSerialization:
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],
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metadata={"key": "value"},
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)
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d = plan.to_dict()
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assert "steps" in d
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assert len(d["steps"]) == 1
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assert d["steps"][0]["id"] == "s1"
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@@ -294,9 +294,9 @@ class TestPlanSerialization:
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],
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"metadata": {"source": "test"},
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}
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plan = Plan.from_dict(d)
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assert len(plan.steps) == 2
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assert plan.steps[1].dependencies == ["s1"]
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assert plan.metadata["source"] == "test"
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@@ -311,10 +311,10 @@ class TestPlanSerialization:
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fallback_paths=[["s1", "s2"]],
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metadata={"version": 1},
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)
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d = original.to_dict()
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restored = Plan.from_dict(d)
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assert restored.step_ids() == original.step_ids()
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assert restored.steps[0].tool_name == "tool_a"
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assert restored.fallback_paths == original.fallback_paths
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