445865e429
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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>
116 lines
3.8 KiB
Python
116 lines
3.8 KiB
Python
"""Optional response cache for LLM adapter."""
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import hashlib
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import json
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from collections import OrderedDict
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from typing import Any
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from fusionagi.adapters.base import LLMAdapter
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class CachedAdapter(LLMAdapter):
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"""
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Wraps an adapter and caches responses by messages hash.
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Features:
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- Caches both complete() and complete_structured() responses
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- LRU eviction when at capacity (most recently used retained)
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- Separate caches for text and structured responses
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- Cache statistics for monitoring
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"""
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def __init__(self, adapter: LLMAdapter, max_entries: int = 100) -> None:
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"""
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Initialize the cached adapter.
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Args:
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adapter: The underlying LLM adapter to wrap.
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max_entries: Maximum cache entries before eviction.
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"""
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self._adapter = adapter
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self._cache: OrderedDict[str, str] = OrderedDict()
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self._structured_cache: OrderedDict[str, Any] = OrderedDict()
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self._max_entries = max_entries
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self._hits = 0
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self._misses = 0
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def _key(self, messages: list[dict[str, str]], kwargs: dict[str, Any], prefix: str = "") -> str:
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"""Generate a cache key from messages and kwargs."""
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payload = json.dumps(
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{"prefix": prefix, "messages": messages, "kwargs": kwargs},
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sort_keys=True,
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default=str,
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)
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return hashlib.sha256(payload.encode()).hexdigest()
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def _evict_if_needed(self, cache: OrderedDict[str, Any]) -> None:
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"""Evict least recently used entry if cache is at capacity."""
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while len(cache) >= self._max_entries and cache:
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cache.popitem(last=False)
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def _get_and_touch(self, cache: OrderedDict[str, Any], key: str) -> Any:
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"""Get value and move to end (LRU touch)."""
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val = cache[key]
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cache.move_to_end(key)
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return val
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def complete(self, messages: list[dict[str, str]], **kwargs: Any) -> str:
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"""Complete with caching."""
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key = self._key(messages, kwargs, prefix="complete")
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if key in self._cache:
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self._hits += 1
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return str(self._get_and_touch(self._cache, key))
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self._misses += 1
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response = self._adapter.complete(messages, **kwargs)
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self._evict_if_needed(self._cache)
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self._cache[key] = response
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return response
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def complete_structured(
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self,
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messages: list[dict[str, str]],
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schema: dict[str, Any] | None = None,
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**kwargs: Any,
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) -> Any:
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"""
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Complete structured with caching.
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Caches structured responses separately from text responses.
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"""
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cache_kwargs = {**kwargs, "_schema": schema}
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key = self._key(messages, cache_kwargs, prefix="structured")
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if key in self._structured_cache:
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self._hits += 1
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return self._get_and_touch(self._structured_cache, key)
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self._misses += 1
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response = self._adapter.complete_structured(messages, schema=schema, **kwargs)
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if response is not None:
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self._evict_if_needed(self._structured_cache)
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self._structured_cache[key] = response
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return response
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def get_stats(self) -> dict[str, Any]:
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"""Return cache statistics."""
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total = self._hits + self._misses
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hit_rate = self._hits / total if total > 0 else 0.0
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return {
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"hits": self._hits,
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"misses": self._misses,
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"hit_rate": hit_rate,
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"text_cache_size": len(self._cache),
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"structured_cache_size": len(self._structured_cache),
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"max_entries": self._max_entries,
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}
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def clear_cache(self) -> None:
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"""Clear all cached responses."""
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self._cache.clear()
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self._structured_cache.clear()
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self._hits = 0
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self._misses = 0
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