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FusionAGI/tests/test_dvadasa.py

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"""Tests for Dvādaśa 12-head FusionAGI components."""
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>
2026-04-28 08:32:05 +00:00
from fusionagi import EventBus, Orchestrator, StateManager
from fusionagi.adapters import StubAdapter
from fusionagi.agents import WitnessAgent
from fusionagi.agents.heads import create_all_content_heads
from fusionagi.core import run_dvadasa, run_heads_parallel, select_heads_for_complexity
from fusionagi.multi_agent import run_consensus
from fusionagi.schemas import (
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>
2026-04-28 08:32:05 +00:00
HeadClaim,
HeadId,
HeadOutput,
UserIntent,
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>
2026-04-28 08:32:05 +00:00
parse_user_input,
)
def test_parse_user_input_normal():
cmd = parse_user_input("What is the best approach?")
assert cmd.intent == UserIntent.NORMAL
assert cmd.cleaned_prompt == "What is the best approach?"
def test_parse_user_input_head_strategy():
cmd = parse_user_input("/head strategy What is the best approach?")
assert cmd.intent == UserIntent.HEAD_STRATEGY
assert cmd.head_id == HeadId.STRATEGY
assert "best approach" in cmd.cleaned_prompt
def test_parse_user_input_show_dissent():
cmd = parse_user_input("/show dissent")
assert cmd.intent == UserIntent.SHOW_DISSENT
def test_head_output_schema():
out = HeadOutput(
head_id=HeadId.LOGIC,
summary="Test",
claims=[
HeadClaim(claim_text="X is true", confidence=0.9, evidence=[], assumptions=[]),
],
risks=[],
questions=[],
recommended_actions=[],
tone_guidance="",
)
assert out.head_id == HeadId.LOGIC
assert len(out.claims) == 1
assert out.claims[0].confidence == 0.9
def test_consensus_engine():
outputs = [
HeadOutput(
head_id=HeadId.LOGIC,
summary="S1",
claims=[
HeadClaim(claim_text="X is true", confidence=0.8, evidence=[], assumptions=[]),
],
risks=[],
questions=[],
recommended_actions=[],
tone_guidance="",
),
]
am = run_consensus(outputs)
assert am.confidence_score >= 0
assert isinstance(am.agreed_claims, list)
assert isinstance(am.disputed_claims, list)
def test_create_all_heads():
heads = create_all_content_heads()
assert len(heads) == 11
assert HeadId.WITNESS not in heads
def test_run_heads_parallel():
stub = StubAdapter(structured_response={
"head_id": "logic",
"summary": "Stub",
"claims": [],
"risks": [],
"questions": [],
"recommended_actions": [],
"tone_guidance": "",
})
bus = EventBus()
state = StateManager()
orch = Orchestrator(event_bus=bus, state_manager=state)
heads = create_all_content_heads(adapter=stub)
for hid, agent in list(heads.items())[:2]:
orch.register_agent(hid.value, agent)
orch.register_agent(HeadId.WITNESS.value, WitnessAgent(adapter=stub))
task_id = orch.submit_task(goal="Test")
results = run_heads_parallel(orch, task_id, "Hello", head_ids=[HeadId.LOGIC, HeadId.RESEARCH])
assert len(results) >= 1
assert all(isinstance(r, HeadOutput) for r in results)
def test_select_heads_for_complexity():
simple = select_heads_for_complexity("What is 2+2?")
assert len(simple) <= 5
complex_heads = select_heads_for_complexity(
"We need to design a secure architecture for production with compliance requirements"
)
assert len(complex_heads) == 11
def test_run_dvadasa_native_reasoning():
"""Test Dvādaśa runs with native reasoning (no external LLM)."""
bus = EventBus()
state = StateManager()
orch = Orchestrator(event_bus=bus, state_manager=state)
# adapter=None => uses NativeReasoningProvider for heads, NativeAdapter for Witness
heads = create_all_content_heads(adapter=None)
for hid, agent in list(heads.items())[:3]: # Just Logic, Research, Systems
orch.register_agent(hid.value, agent)
orch.register_agent(HeadId.WITNESS.value, WitnessAgent(adapter=None))
task_id = orch.submit_task(goal="What is the best approach for secure authentication?")
final = run_dvadasa(
orch, task_id, "What is the best approach for secure authentication?", event_bus=bus
)
assert final is not None
assert final.final_answer
assert len(final.final_answer) > 20
assert final.confidence_score >= 0