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hub / github.com/AQ-MedAI/MedMemoryBench / query

Method query

methods/zep_agent.py:398–443  ·  view source on GitHub ↗

Query the agent.

(
        self,
        question: str,
        system_message: Optional[str] = None,
        sub_dataset: str = "default",
        query_id: Optional[str] = None,
        **kwargs
    )

Source from the content-addressed store, hash-verified

396 return response.content
397
398 def query(
399 self,
400 question: str,
401 system_message: Optional[str] = None,
402 sub_dataset: str = "default",
403 query_id: Optional[str] = None,
404 **kwargs
405 ) -> AgentResponse:
406 """Query the agent."""
407 # Retrieve relevant memories
408 retrieval_results = self._retrieve(question, sub_dataset)
409
410 # Compose context
411 retrieved_context = compose_search_context(
412 edges=retrieval_results["edges"],
413 nodes=retrieval_results["nodes"],
414 context_block=retrieval_results["context_block"],
415 episodes=retrieval_results["episodes"],
416 )
417
418 # Call LLM to generate response
419 response_text = self._llm_response(retrieved_context, question)
420
421 # Save retrieval results
422 if query_id is not None:
423 self._save_retrieval_context(
424 query_id=query_id,
425 context_id=self._context_id,
426 sub_dataset=sub_dataset,
427 retrieved_context=retrieved_context,
428 response=response_text,
429 )
430
431 return AgentResponse(
432 output=response_text,
433 query_time=0.0,
434 retrieved_count=self.retrieve_num,
435 retrieved_memories=[
436 {"memory": retrieved_context, "type": "zep_retrieval"}
437 ], # Fix: properly set field
438 extra={
439 "method": "zep",
440 "graph_id": self._current_graph_id,
441 "thread_id": self._current_thread_id,
442 }
443 )
444
445 def _save_retrieval_context(
446 self,

Callers

nothing calls this directly

Calls 5

_retrieveMethod · 0.95
_llm_responseMethod · 0.95
compose_search_contextFunction · 0.85
AgentResponseClass · 0.85

Tested by

no test coverage detected