support returning run info for llms, chat models and chains #5666
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nfcampos
reviewed
Jun 4, 2023
| @@ -108,6 +108,8 @@ def __call__( | |||
| inputs: Union[Dict[str, Any], Any], | |||
| return_only_outputs: bool = False, | |||
| callbacks: Callbacks = None, | |||
| *, | |||
| include_run_info: bool = False, | |||
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Mainly for better bw-compat, we have a bunch of existing tests that check the returned dict from __call__ and expect it not to have a __run field. Other people might have tests like that too.
nfcampos
reviewed
Jun 4, 2023
| @@ -93,6 +94,8 @@ def generate( | |||
| generations = [res.generations for res in results] | |||
| output = LLMResult(generations=generations, llm_output=llm_output) | |||
| run_manager.on_llm_end(output) | |||
| if run_manager: | |||
| output.run = RunInfo(run_id=run_manager.run_id) | |||
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unfortunately you cannot set underscore keys in pydantic objects, i.e. LLMResult
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Wow these python libraries are something else
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Could set the alias then serialize with by_alias=True though maybe that's even more complicated
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yeah... seems more complex than it needs to imo
Undertone0809
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to Undertone0809/langchain
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Jun 19, 2023
…n-ai#5666) returning the run id is important for accessing the run later on
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returning the run id is important for accessing the run later on