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refine markdown prompt (#2551)

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### What problem does this PR solve?


### Type of change

- [x] Performance Improvement
This commit is contained in:
Kevin Hu 2024-09-24 12:04:16 +08:00 committed by GitHub
parent 90644246d6
commit 38e3475714
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GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
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4
api/db/services/dialog_service.py
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@ -180,7 +180,7 @@ def chat(dialog, messages, stream=True, **kwargs):
yield {"answer": empty_res, "reference": kbinfos, "audio_binary": tts(tts_mdl, empty_res)}
return {"answer": prompt_config["empty_response"], "reference": kbinfos}
kwargs["knowledge"] = "\n------\n".join(knowledges)
kwargs["knowledge"] = "\n\n------\n\n".join(knowledges)
gen_conf = dialog.llm_setting
msg = [{"role": "system", "content": prompt_config["system"].format(**kwargs)}]
@ -221,7 +221,7 @@ def chat(dialog, messages, stream=True, **kwargs):
if answer.lower().find("invalid key") >= 0 or answer.lower().find("invalid api") >= 0:
answer += " Please set LLM API-Key in 'User Setting -> Model Providers -> API-Key'"
done_tm = timer()
prompt += "\n### Elapsed\n - Retrieval: %.1f ms\n - LLM: %.1f ms"%((retrieval_tm-st)*1000, (done_tm-st)*1000)
prompt += "\n\n### Elapsed\n - Retrieval: %.1f ms\n - LLM: %.1f ms"%((retrieval_tm-st)*1000, (done_tm-st)*1000)
return {"answer": answer, "reference": refs, "prompt": prompt}
if stream: