"Minimax" object has no field "_client"

[cclc]

System Info

when I run this command python3 ./libs/langchain/tests/integration_tests/llms/test_minimax.py
It always reports this error ValueError: "Minimax" object has no field "_client"

After I replaced "_client" with "client", it works.

version is langchain==0.0.297

Who can help?

No response

Information

• The official example notebooks/scripts
• My own modified scripts

Related Components

• LLMs/Chat Models
• Embedding Models
• Prompts / Prompt Templates / Prompt Selectors
• Output Parsers
• Document Loaders
• Vector Stores / Retrievers
• Memory
• Agents / Agent Executors
• Tools / Toolkits
• Chains
• Callbacks/Tracing
• Async

Reproduction

python3 ./libs/langchain/tests/integration_tests/llms/test_minimax.py

Expected behavior

Don't throw erros

[dosubot]

🤖

Hello,

Thank you for bringing this to our attention. It seems like you've encountered an issue with the Minimax class in the LangChain codebase. The error you're seeing, ValueError: "Minimax" object has no field "_client", is likely due to the _client attribute not being initialized when a Minimax object is created.

This could be due to a change in the structure of the Minimax class in the LangChain codebase. In the current version of LangChain that you're using (langchain==0.0.297), the Minimax class might not have the _client attribute.

However, I noticed that you mentioned that after replacing _client with client, it works. This suggests that the attribute name might have been updated in the newer versions of LangChain.

The latest version of LangChain is v0.0.299. I would recommend updating to the latest version and see if the issue persists. You can update LangChain by running the following command:

pip install --upgrade langchain

If the issue still persists after updating, please let us know. We appreciate your patience and cooperation in this matter.

Best regards,
Dosu

Sources

• libs/langchain/langchain/llms/minimax.py

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[cclc]

In v0.0.299, This problem still exists

[zirenlegend]

In v0.0.312, This problem still exists

[hunter-xue]

this should be an issue of pydantic v1, looks like pydantic v2 fix it. so the better way to resolve this problem is: DON'T use function name start with underscore in python model class.

[geezerrrr]

Has this problem been resolved?

[oldpiao]

这个问题还没有解决吗？我在0.2.15上依然遇到了此问题