[langchain_community.llms.xinference]: fix xinference client error

[TheSongg]

• PR title: [langchain_community.llms.xinference]: fix error and support stream method

• PR message:

• The old code raised an ValidationError: pydantic_core._pydantic_core.ValidationError: 1 validation error for Xinference when import Xinference from xinference.py. This issue has been resolved by adjusting it's type and default value.

    File "/media/vdc/python/lib/python3.10/site-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    pydantic_core._pydantic_core.ValidationError: 1 validation error for Xinference
    client
      Field required [type=missing, input_value={'server_url': 'http://10...t4', 'model_kwargs': {}}, input_type=dict]
      For further information visit https://errors.pydantic.dev/2.9/v/missing
  

• tests:

   from langchain_community.llms import Xinference
   llm = Xinference(
     server_url="http://0.0.0.0:9997", # replace your xinference server url
    model_uid={model_uid}  # replace model_uid with the model UID return from launching the model
     )
  

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Name	Status	Preview	Comments	Updated (UTC)
langchain	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Jan 15, 2025 1:46am

[ccurme]

You'll need to update the code to handle the None case: https://github.com/langchain-ai/langchain/actions/runs/12765427066/job/35579660741?pr=29195