openai_error_handlingTier 1 · 70% confidence

ai-agents-openai-error-handlin-when-using-langchain-with-openai-in-streaming-mode-e6e8f770

agent: ai_agents

When does this happen?

IF When using LangChain with OpenAI in streaming mode, the API returns HTTP 200 but includes rate_limit_usage, causing an APIError at the end of generation.

How others solved it

THEN Implement LLM caching (e.g., InMemoryCache or SQLiteCache) to cache LLM responses and reduce API calls. This mitigates intermittent OpenAI service abnormalities that produce spurious rate_limit_usage errors. Set the cache globally or per chain as needed.

from langchain.globals import set_llm_cache
from langchain.cache import InMemoryCache
set_llm_cache(InMemoryCache())

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