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>
80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
"""Full integration smoke test: orchestrator -> planner -> executor -> reflection."""
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from fusionagi.adapters import StubAdapter
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from fusionagi.agents import CriticAgent, ExecutorAgent, PlannerAgent
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from fusionagi.core import EventBus, Orchestrator, StateManager
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from fusionagi.memory import ReflectiveMemory
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from fusionagi.reflection import run_reflection
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from fusionagi.schemas import AgentMessage, AgentMessageEnvelope
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from fusionagi.tools import ToolDef, ToolRegistry
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def test_integration_smoke() -> None:
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bus = EventBus()
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state = StateManager()
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orch = Orchestrator(event_bus=bus, state_manager=state)
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reg = ToolRegistry()
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reg.register(ToolDef(name="noop", description="No-op", fn=lambda: "ok", permission_scope=["*"]))
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orch.register_agent("planner", PlannerAgent(adapter=StubAdapter()))
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orch.register_agent("executor", ExecutorAgent(registry=reg, state_manager=state))
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orch.register_agent("critic", CriticAgent())
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tid = orch.submit_task(goal="Run a no-op step")
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env = AgentMessageEnvelope(
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message=AgentMessage(
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sender="orch",
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recipient="planner",
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intent="plan_request",
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payload={"goal": "Run no-op"},
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),
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task_id=tid,
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)
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orch.route_message(env)
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plan = orch.get_task_plan(tid)
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if not plan:
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plan = {
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"steps": [
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{
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"id": "s1",
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"description": "No-op",
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"dependencies": [],
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"tool_name": "noop",
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"tool_args": {},
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}
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],
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"fallback_paths": [],
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}
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env2 = AgentMessageEnvelope(
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message=AgentMessage(
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sender="orch",
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recipient="executor",
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intent="execute_step",
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payload={
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"step_id": "s1",
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"plan": plan,
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"tool_name": "noop",
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"tool_args": {},
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},
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),
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task_id=tid,
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)
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orch.route_message(env2)
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reflective = ReflectiveMemory()
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run_reflection(
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orch.get_agent("critic"),
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tid,
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"completed",
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state.get_trace(tid),
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plan,
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reflective,
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)
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lessons = reflective.get_lessons(limit=5)
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assert len(lessons) == 1
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assert lessons[0]["task_id"] == tid
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assert lessons[0]["outcome"] == "completed"
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if __name__ == "__main__":
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test_integration_smoke()
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print("Integration smoke test OK")
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