pydantic or version error

[codingforwhat]

The llamaindex was running normally, but in the past few days, pydantic has been throwing errors.
For example:
Traceback (most recent call last):
File "/home/PycharmProjects/sql_embedding9.14/main.py", line 39, in <module>
dashscope_llm = DashScope(model_name=DashScopeGenerationModels.QWEN_TURBO,max_tokens=512)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/anaconda3/envs/torch/lib/python3.12/site-packages/llama_index/llms/dashscope/base.py", line 171, in init
super().init(
File "/home/lingyi/anaconda3/envs/torch/lib/python3.12/site-packages/pydantic/main.py", line 209, in init
validated_self = self.pydantic_validator.validate_python(data, self_instance=self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
pydantic_core._pydantic_core.ValidationError: 1 validation error for DashScope
api_key
Input should be a valid string [type=string_type, input_value=None, input_type=NoneType]
For further information visit https://errors.pydantic.dev/2.9/v/string_type
Is it a version issue?"

[dosubot[bot]]

Hello, @codingforwhat! I'm a bot designed to help you solve bugs, answer questions, and become a contributor. I'm here to assist you while you wait for a human maintainer.

Yes, the pydantic validation error in llamaindex is related to a version issue. The code attempts to import pydantic.v1 and falls back to pydantic if the former is not available, indicating that it is designed to work with version 1 of pydantic. Using a different version might cause validation errors ^[1].

Additionally, there have been similar issues reported:

1. [Bug]: Custom Embedding Model example not working due to Pydantic errors - This issue was closed by a pull request that updated the documentation for custom embeddings ^[2].
2. [Feature Request]: Support for pydantic v2 - This issue was closed, and it was suggested that full migration to pydantic v2 is likely to occur early January, depending on langchain's support ^[3].

To resolve the issue, you can try ensuring that you are using the correct versions of the dependencies. For example, one solution for a similar issue was to change the versions of the following packages:

llama-index-embeddings-azure-openai==0.1.11
llama-index-embeddings-openai==0.1.11

You can check your versions using pip freeze ^[4].

Additionally, make sure you have the required environment variable OPENAI_API_KEY set ^[5].

To continue talking to Dosu, mention @dosu.