2026-02-09 21:51:42 -08:00
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"""LLM adapters: abstract interface and provider implementations.
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NativeAdapter: Uses FusionAGI's internal reasoning—no external API calls.
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OpenAIAdapter is None when the openai package is not installed (pip install fusionagi[openai]).
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Use: from fusionagi.adapters import OpenAIAdapter; if OpenAIAdapter is not None: ...
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"""
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from fusionagi.adapters.base import LLMAdapter
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from fusionagi.adapters.cache import CachedAdapter
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from fusionagi.adapters.native_adapter import NativeAdapter
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fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available)
- Integrate GPU deduplication into multi_agent/consensus_engine.py
- Add semantic_search() method to memory/semantic_graph.py with GPU acceleration
- Integrate GPU training into self_improvement/training.py AutoTrainer
- Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names)
- Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.)
- Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint])
- Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds
- Add type hints and docstrings to verification/outcome.py
- Fix E402 import ordering in witness_agent.py
- Fix F821 undefined names in vector_pgvector.py and native.py
- Fix E741 ambiguous variable names in reflective.py and recommender.py
All 276 tests pass. 0 ruff errors. 0 mypy errors.
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 05:48:37 +00:00
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from fusionagi.adapters.stub_adapter import StubAdapter
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2026-02-09 21:51:42 -08:00
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try:
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from fusionagi.adapters.openai_adapter import OpenAIAdapter
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except ImportError:
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OpenAIAdapter = None # type: ignore[misc, assignment]
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feat: GPU/TensorCore integration — TensorFlow backend, GPU-accelerated reasoning, training, and memory
- New fusionagi/gpu/ module with TensorBackend protocol abstraction
- TensorFlowBackend: GPU-accelerated ops with TensorCore mixed-precision
- NumPyBackend: CPU fallback (always available, no extra deps)
- Auto-selects best available backend at runtime
- GPU-accelerated operations:
- Cosine similarity matrix (batched, XLA-compiled)
- Multi-head attention for consensus scoring
- Batch hypothesis scoring on GPU
- Semantic similarity search (pairwise, nearest-neighbor, deduplication)
- New TensorFlowAdapter (fusionagi/adapters/):
- LLMAdapter for local TF/Keras model inference
- TensorCore mixed-precision support
- GPU-accelerated embedding synthesis fallback
- Reasoning pipeline integration:
- gpu_scoring.py: drop-in GPU replacement for multi_path scoring
- Super Big Brain: use_gpu config flag, GPU scoring when available
- Memory integration:
- gpu_search.py: GPU-accelerated semantic search for SemanticGraphMemory
- Self-improvement integration:
- gpu_training.py: gradient-based heuristic weight optimization
- Reflective memory training loop with loss tracking
- Dependencies: gpu extra (tensorflow>=2.16, numpy>=1.26)
- 64 new tests (276 total), all passing
- Architecture spec: docs/gpu_tensorcore_integration.md
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 05:05:50 +00:00
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try:
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from fusionagi.adapters.tensorflow_adapter import TensorFlowAdapter
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except ImportError:
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TensorFlowAdapter = None # type: ignore[misc, assignment]
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__all__ = [
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"LLMAdapter",
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"StubAdapter",
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"CachedAdapter",
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"NativeAdapter",
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"OpenAIAdapter",
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"TensorFlowAdapter",
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]
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