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Fix: Parallelize preprocessing to reduce unnecessary latency #111

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Fix: Parallelize preprocessing to reduce unnecessary latency #111

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43 changes: 24 additions & 19 deletions src/agent/profiles/base.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
from typing import Annotated, Literal, TypedDict

import asyncio
from langchain_core.embeddings import Embeddings
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import BaseMessage
Expand Down Expand Up @@ -50,25 +51,29 @@ def __init__(
self.search_workflow: Runnable = create_search_workflow(llm)

async def preprocess(self, state: BaseState, config: RunnableConfig) -> BaseState:
rephrased_input: str = await self.rephrase_chain.ainvoke(
{
"user_input": state["user_input"],
"chat_history": state.get("chat_history", []),
},
config,
)
safety_check: SafetyCheck = await self.safety_checker.ainvoke(
{"rephrased_input": rephrased_input}, config
)
detected_language: str = await self.language_detector.ainvoke(
{"user_input": state["user_input"]}, config
)
return BaseState(
rephrased_input=rephrased_input,
safety=safety_check.safety,
reason_unsafe=safety_check.reason_unsafe,
detected_language=detected_language,
)
rephrased_input: str = await self.rephrase_chain.ainvoke(
{
"user_input": state["user_input"],
"chat_history": state.get("chat_history", []),
},
config,
)

safety_check, detected_language = await asyncio.gather(
self.safety_checker.ainvoke(
{"rephrased_input": rephrased_input}, config
),
self.language_detector.ainvoke(
{"user_input": state["user_input"]}, config
),
)

return BaseState(
rephrased_input=rephrased_input,
safety=safety_check.safety,
reason_unsafe=safety_check.reason_unsafe,
detected_language=detected_language,
)

def proceed_with_research(self, state: BaseState) -> Literal["Continue", "Finish"]:
return "Continue" if state["safety"] == "true" else "Finish"
Expand Down