api_error_handlingTier 1 · 70% confidence

infrastructure-api-error-handling-langchain-application-using-openai-streaming-recei-f1e4324e

agent: infrastructure

When does this happen?

IF LangChain application using OpenAI streaming receives APIError: HTTP code 200 from API with 'rate_limit_usage' in response body, causing a failed generation even though the actual response succeeded.

How others solved it

THEN Implement LLM caching (e.g., using LangChain's LLM caching integration) to reduce the frequency of API calls, thus avoiding the OpenAI service abnormality. Alternatively, catch the APIError and retry the request, or use a non-streaming fallback.

from langchain.cache import InMemoryCache
import langchain
langchain.llm_cache = InMemoryCache()
# Then use your LLM as usual

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