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Refactor memory retrieval logging to include retrieval method, enhancing clarity in LLM and semantic decision processes

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mtayfur
2025-10-09 11:41:20 +03:00
parent bb992906ad
commit 74f7ededcd
1 changed files with 5 additions and 4 deletions
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9
memory_system.py
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@@ -784,7 +784,7 @@ CANDIDATE MEMORIES:
should_use_llm, decision_reason = self._should_use_llm_reranking(candidate_memories)
analysis_info = {"llm_decision": should_use_llm, "decision_reason": decision_reason, "candidate_count": len(candidate_memories)}
analysis_info = {"llm_decision": should_use_llm, "decision_reason": decision_reason, "candidate_count": len(candidate_memories)}
if should_use_llm:
extended_count = int(self.memory_system.valves.max_memories_returned * Constants.EXTENDED_MAX_MEMORY_MULTIPLIER)
@@ -803,11 +803,12 @@ CANDIDATE MEMORIES:
else:
logger.info(f"Skipping LLM reranking: {decision_reason}")
selected_memories = candidate_memories[:max_injection]
duration = time.time() - start_time
duration_text = f" in {duration:.2f}s" if duration >= 0.01 else ""
await self.memory_system._emit_status(emitter, f"🎯 Memory Retrieval Complete{duration_text}", done=True)
logger.info(f"🎯 Memory Retrieval Complete{duration_text}")
retrieval_method = "LLM" if should_use_llm else "Semantic"
await self.memory_system._emit_status(emitter, f"🎯 {retrieval_method} Memory Retrieval Complete{duration_text}", done=True)
logger.info(f"🎯 {retrieval_method} Memory Retrieval Complete{duration_text}")
return selected_memories, analysis_info