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>

fusionagi/adapters/base.py

@@ -7,7 +7,7 @@ from typing import Any
 class LLMAdapter(ABC):
     """
     Abstract adapter for LLM completion.
-    
+
     Implementations should handle:
     - openai/ - OpenAI API (GPT-4, etc.)
     - anthropic/ - Anthropic API (Claude, etc.)
@@ -22,11 +22,11 @@ class LLMAdapter(ABC):
     ) -> str:
         """
         Return completion text for the given messages.
-        
+
         Args:
             messages: List of message dicts with 'role' and 'content' keys.
             **kwargs: Provider-specific options (e.g., temperature, max_tokens).
-        
+
         Returns:
             The model's response text.
         """
@@ -40,15 +40,15 @@ class LLMAdapter(ABC):
     ) -> Any:
         """
         Return structured (JSON) output.
-        
+
         Default implementation returns None; subclasses may override to use
         provider-specific JSON modes (e.g., OpenAI's response_format).
-        
+
         Args:
             messages: List of message dicts with 'role' and 'content' keys.
             schema: Optional JSON schema for response validation.
             **kwargs: Provider-specific options.
-        
+
         Returns:
             Parsed JSON response or None if not supported/parsing fails.
         """