fa71f973a6
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- 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>
68 lines
1.7 KiB
TOML
68 lines
1.7 KiB
TOML
[build-system]
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requires = ["setuptools>=61", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "fusionagi"
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version = "0.1.0"
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description = "Modular, agentic AI orchestration framework with reasoning, planning, execution, and memory."
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readme = "README.md"
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requires-python = ">=3.10"
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license = { text = "MIT" }
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authors = [{ name = "FusionAGI" }]
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keywords = ["agi", "agents", "orchestration", "llm"]
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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]
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dependencies = [
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"pydantic>=2.0,<3",
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]
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[project.optional-dependencies]
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openai = ["openai>=1.12"]
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anthropic = ["anthropic>=0.39"]
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local = ["litellm>=1.40"]
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api = ["fastapi>=0.115", "uvicorn>=0.32", "httpx>=0.27"]
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gpu = ["tensorflow>=2.16", "numpy>=1.26"]
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maa = []
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dev = [
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"pytest>=7.4",
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"mypy>=1.8",
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"ruff>=0.4",
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]
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all = ["fusionagi[openai,anthropic,local,gpu]"]
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[project.urls]
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Repository = "https://github.com/fusionagi/fusionagi"
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Documentation = "https://github.com/fusionagi/fusionagi/tree/main/docs"
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["fusionagi*"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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pythonpath = ["."]
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[tool.mypy]
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python_version = "3.10"
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warn_return_any = true
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warn_unused_configs = true
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ignore_missing_imports = true
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exclude = ["\\.venv/", "fusionagi\\.egg-info/"]
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[tool.ruff]
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target-version = "py310"
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line-length = 100
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select = ["E", "F", "I", "N", "W"]
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ignore = ["E501"]
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[tool.ruff.isort]
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known-first-party = ["fusionagi"]
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