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cache_serialization
infrastructure-cache-serialization-using-llm-cache-sqlite-redis-elasticsearch-with-ch-600354b4
IFUsing LLM cache (SQLite, Redis, Elasticsearch) with ChatOpenAI using `.with_structured_output(PydanticClass, method='json_schema')` causes a `ValidationError` on the second identical invocation.
THENReplace the cache backend with `InMemoryCache` as a workaround, or avoid caching for structured outputs using Pydantic + json_schema. Alternatively, restructure the output schema to use `TypedDict` or switch to `method='function_calling'` to avoid the serialization bug.
Tier 170%
cache_serialization
ai-agents-cache-serialization-using-chatopenai-with-structured-output-with-a-pyd-ccdca7de
IFUsing ChatOpenAI.with_structured_output() with a Pydantic class and method="json_schema" causes a deserialization error on cache hit when using a persistent cache (e.g., SQLiteCache, RedisCache).
THENAvoid using Pydantic classes with json_schema method when caching is needed. Use TypedDict as the schema or set method="function_calling" instead. For testing, switch to InMemoryCache. Await a fix in langchain-core serialization.
Tier 170%
cache_serialization
ai-agents-cache-serialization-when-using-chatopenai-with-structured-output-a-pyd-b01a1204
IFWhen using ChatOpenAI with structured output, a Pydantic class, and method='json_schema', a persistent cache (SQLite, Redis, Elasticsearch) fails on the second identical invocation because the cached Generation object cannot be deserialized into a ChatResult.
THENUse InMemoryCache for testing, or avoid caching with structured output. Alternatively, use TypedDict schema or method='function_calling' to avoid the serialization issue. Do not use persistent caches like SQLiteCache or RedisCache with this configuration until the bug is fixed.
Tier 170%
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