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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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:
Devin AI
2026-04-28 08:32:05 +00:00
parent de97fd8ac9
commit 64b800c6cf
49 changed files with 3944 additions and 565 deletions

View File

@@ -1,10 +1,9 @@
"""Tests for LLM adapters."""
import pytest
from fusionagi.adapters.base import LLMAdapter
from fusionagi.adapters.stub_adapter import StubAdapter
from fusionagi.adapters.cache import CachedAdapter
from fusionagi.adapters.stub_adapter import StubAdapter
class TestStubAdapter:
@@ -13,9 +12,9 @@ class TestStubAdapter:
def test_complete_returns_configured_response(self):
"""Test that complete() returns the configured response."""
adapter = StubAdapter(response="Test response")
result = adapter.complete([{"role": "user", "content": "Hello"}])
assert result == "Test response"
def test_complete_structured_with_dict_response(self):
@@ -24,43 +23,43 @@ class TestStubAdapter:
response="ignored",
structured_response={"key": "value", "number": 42},
)
result = adapter.complete_structured([{"role": "user", "content": "Hello"}])
assert result == {"key": "value", "number": 42}
def test_complete_structured_parses_json_response(self):
"""Test complete_structured parses JSON from text response."""
adapter = StubAdapter(response='{"parsed": true}')
result = adapter.complete_structured([{"role": "user", "content": "Hello"}])
assert result == {"parsed": True}
def test_complete_structured_returns_none_for_non_json(self):
"""Test complete_structured returns None for non-JSON text."""
adapter = StubAdapter(response="Not JSON at all")
result = adapter.complete_structured([{"role": "user", "content": "Hello"}])
assert result is None
def test_set_response(self):
"""Test dynamically changing the response."""
adapter = StubAdapter(response="Initial")
assert adapter.complete([]) == "Initial"
adapter.set_response("Changed")
assert adapter.complete([]) == "Changed"
def test_set_structured_response(self):
"""Test dynamically changing the structured response."""
adapter = StubAdapter()
adapter.set_structured_response({"dynamic": True})
result = adapter.complete_structured([])
assert result == {"dynamic": True}
@@ -71,22 +70,22 @@ class TestCachedAdapter:
"""Test that responses are cached."""
# Track how many times the underlying adapter is called
call_count = 0
class CountingAdapter(LLMAdapter):
def complete(self, messages, **kwargs):
nonlocal call_count
call_count += 1
return f"Response {call_count}"
underlying = CountingAdapter()
cached = CachedAdapter(underlying, max_entries=10)
messages = [{"role": "user", "content": "Hello"}]
# First call - cache miss
result1 = cached.complete(messages)
assert call_count == 1
# Second call with same messages - cache hit
result2 = cached.complete(messages)
assert call_count == 1 # Not incremented
@@ -96,14 +95,14 @@ class TestCachedAdapter:
"""Test LRU cache eviction when at capacity."""
underlying = StubAdapter(response="cached")
cached = CachedAdapter(underlying, max_entries=2)
# Fill the cache
cached.complete([{"role": "user", "content": "msg1"}])
cached.complete([{"role": "user", "content": "msg2"}])
# This should trigger eviction
cached.complete([{"role": "user", "content": "msg3"}])
stats = cached.get_stats()
assert stats["text_cache_size"] == 2
@@ -111,15 +110,15 @@ class TestCachedAdapter:
"""Test cache statistics."""
underlying = StubAdapter(response="test")
cached = CachedAdapter(underlying, max_entries=10)
messages = [{"role": "user", "content": "Hello"}]
cached.complete(messages) # Miss
cached.complete(messages) # Hit
cached.complete(messages) # Hit
stats = cached.get_stats()
assert stats["hits"] == 2
assert stats["misses"] == 1
assert stats["hit_rate"] == 2/3
@@ -128,14 +127,14 @@ class TestCachedAdapter:
"""Test clearing the cache."""
underlying = StubAdapter(response="test")
cached = CachedAdapter(underlying, max_entries=10)
cached.complete([{"role": "user", "content": "msg"}])
stats = cached.get_stats()
assert stats["text_cache_size"] == 1
cached.clear_cache()
stats = cached.get_stats()
assert stats["text_cache_size"] == 0
assert stats["hits"] == 0
@@ -148,13 +147,13 @@ class TestCachedAdapter:
structured_response={"structured": True},
)
cached = CachedAdapter(underlying, max_entries=10)
messages = [{"role": "user", "content": "Hello"}]
# Text and structured have separate caches
cached.complete(messages)
cached.complete_structured(messages)
stats = cached.get_stats()
assert stats["text_cache_size"] == 1
assert stats["structured_cache_size"] == 1
@@ -162,23 +161,23 @@ class TestCachedAdapter:
def test_kwargs_affect_cache_key(self):
"""Test that different kwargs produce different cache keys."""
call_count = 0
class CountingAdapter(LLMAdapter):
def complete(self, messages, **kwargs):
nonlocal call_count
call_count += 1
return f"Response with temp={kwargs.get('temperature')}"
underlying = CountingAdapter()
cached = CachedAdapter(underlying, max_entries=10)
messages = [{"role": "user", "content": "Hello"}]
# Different temperature values should be separate cache entries
cached.complete(messages, temperature=0.5)
cached.complete(messages, temperature=0.7)
cached.complete(messages, temperature=0.5) # Should hit cache
assert call_count == 2
@@ -201,9 +200,9 @@ class TestLLMAdapterInterface:
class MinimalAdapter(LLMAdapter):
def complete(self, messages, **kwargs):
return "text"
adapter = MinimalAdapter()
# Should return None by default (base implementation)
result = adapter.complete_structured([])
assert result is None