fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
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- 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>
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@@ -9,7 +9,7 @@ from fusionagi.adapters.base import LLMAdapter
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class StubAdapter(LLMAdapter):
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"""
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Returns configurable fixed responses; no API calls.
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Useful for testing without making actual LLM API calls.
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Supports both text and structured (JSON) responses.
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"""
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@@ -21,7 +21,7 @@ class StubAdapter(LLMAdapter):
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) -> None:
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"""
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Initialize the stub adapter.
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Args:
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response: Fixed text response for complete().
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structured_response: Fixed structured response for complete_structured().
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@@ -45,13 +45,13 @@ class StubAdapter(LLMAdapter):
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) -> Any:
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"""
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Return the configured structured response.
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If no structured_response was configured, attempts to parse
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the text response as JSON, or returns None.
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"""
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if self._structured_response is not None:
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return self._structured_response
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# Try to parse text response as JSON
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try:
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return json.loads(self._response)
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