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## Change Chain argument in client to accept a chain factory The `run_over_dataset` functionality seeks to treat each iteration of an example as an independent trial. Chains have memory, so it's easier to permit this type of behavior if we accept a factory method rather than the chain object directly. There's still corner cases / UX pains people will likely run into, like: - Caching may cause issues - if memory is persisted to a shared object (e.g., same redis queue) , this could impact what is retrieved - If we're running the async methods with concurrency using local models, if someone naively instantiates the chain and loads each time, it could lead to tons of disk I/O or OOM |
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__init__.py | ||
test_langchain.py |