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feat(llm): add json_output support for structured LLM responses

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Timebomb2018
2026-04-16 16:27:55 +08:00
parent 5ce0bdb0f5
commit 8c6b65db12
23 changed files with 304 additions and 110 deletions
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4
api/app/controllers/chunk_controller.py
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@@ -443,10 +443,10 @@ async def retrieve_chunks(
match retrieve_data.retrieve_type:
case chunk_schema.RetrieveType.PARTICIPLE:
rs = vector_service.search_by_full_text(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.similarity_threshold, file_names_filter=retrieve_data.file_names_filter)
return success(data=rs, msg="retrieval successful")
return success(data=jsonable_encoder(rs), msg="retrieval successful")
case chunk_schema.RetrieveType.SEMANTIC:
rs = vector_service.search_by_vector(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.vector_similarity_weight, file_names_filter=retrieve_data.file_names_filter)
return success(data=rs, msg="retrieval successful")
return success(data=jsonable_encoder(rs), msg="retrieval successful")
case _:
rs1 = vector_service.search_by_vector(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.vector_similarity_weight, file_names_filter=retrieve_data.file_names_filter)
rs2 = vector_service.search_by_full_text(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.similarity_threshold, file_names_filter=retrieve_data.file_names_filter)