Why are my asynchronous LangChain agent calls failing with connection pool timeout errors under high concurrent load?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why are my asynchronous LangChain agent calls failing with connection pool timeout errors under high concurrent load?
1 real search · 1 real-search pass
LangChain async connection pool timeout HTTPX PoolTimeout max_connections official documentationGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
LangChain async connection pool timeout HTTPX PoolTimeout max_connections official documentation Google ↗
- langchain/libs/partners/openai/langchain_openai/chat_models/base.py at master · langchain-ai/langchain · github.com
- Developer Interface · python-httpx.org
- Resource Limits · python-httpx.org
- LangChain Support Portal · support.langchain.com
- Fault Tolerance in LangGraph: Retries, Timeouts and Error Handlers · langchain.com
- Timeouts · python-httpx.org