[Bug] ModuleNotFoundError: No module named 'mistralai.models.chat_completion'

[WahahaZeng]

Describe the bug

Traceback (most recent call last): File "/home/xyz/HarmBench/generate_completions.py", line 9, in from api_models import api_models_map File "/home/xyz/HarmBench/api_models.py", line 11, in from mistralai.models.chat_completion import ChatMessage ModuleNotFoundError: No module named 'mistralai.models.chat_completion'

The version is am using is the latest one $ pip list |grep mistralai mistralai 1.2.5

I also tried some old version like "mistralai==1.2.0", "mistralai==1.0.1", but the bug is still there

- OS: Linux
- Python version: 3.10.15

This bug was reported before in #640

[micedevai]

The error you're encountering, ModuleNotFoundError: No module named 'mistralai.models.chat_completion', suggests that the module mistralai.models.chat_completion does not exist in the version of the mistralai library that you have installed (version 1.2.5 or any older version). Here are several steps you can take to address this:

Steps to Fix:

1. Check the Available Modules in the Installed Version of Mistralai

It's possible that the structure of the mistralai library has changed in recent versions. To check the available modules, navigate to the installation directory of mistralai and inspect its contents.

• To find the installation location of mistralai, run the following:

  pip show mistralai
  

  This will provide the path to the mistralai package.

• Once you have the path, navigate to it:

  cd <path_to_mistralai>/mistralai/models
  

  Look for the chat_completion.py file. If it doesn't exist, it confirms that the module has either been removed or renamed.

2. Consult Mistralai Documentation/Changelog

• Check the Documentation: Mistralai may have changed its module structure in recent versions, which could explain why the chat_completion module is missing.

  • Visit the official documentation: [Mistralai Docs](https://mistralai.ai/docs/)
  • Look for updates regarding the changes in version 1.2.0+ that could affect the models submodule.

• Check the GitHub Repo for Changelog: Review the [Mistralai GitHub repo](https://github.com/mistralai/mistralai) to see if there have been any breaking changes or deprecations related to the chat_completion module in the changelog.

3. Use the Correct Version

Since you've already tried several versions, it's important to figure out if the chat_completion module was present in earlier versions. It's possible that the module was either removed or relocated in a recent release.

• Try Downgrading to a Specific Version: If the module was present in a previous version, try to find which version it existed in by checking the release notes. You can also search for older versions of the package and install them with:

  pip install mistralai==<specific_version>
  

For example:

pip install mistralai==1.1.0

• Check Version History: You can also check the GitHub releases for Mistralai to understand which versions contained chat_completion. Visit the [Mistralai releases page](https://github.com/mistralai/mistralai/releases).

4. Explore an Alternative Approach

If you cannot find the chat_completion module or if it has been deprecated, you may need to modify your code to work with the available modules in the mistralai package. You can look for equivalent functionality under other module paths or newer classes.

• Search for ChatMessage in the Codebase: If you're trying to use the ChatMessage class, it might have been moved to another module or replaced by a different class in newer versions of the library. You can search for ChatMessage in the installed mistralai package:

  grep -r "ChatMessage" <path_to_mistralai>
  

  This will show where ChatMessage is defined in the current package.

5. Use a Virtual Environment to Isolate Dependencies

If there are potential conflicts with other libraries or previous installations of mistralai, try installing it in a clean Python virtual environment to isolate dependencies and test again:

• Create a new virtual environment:

  python -m venv myenv
  source myenv/bin/activate  # On Linux/Mac
  

• Install mistralai in the new environment:

  pip install mistralai
  

• Then test again if the error persists in the isolated environment.

6. Check for Open Issues or Report Your Own

Since you've mentioned that this bug was reported before in issue [#640](https://github.com/mistralai/mistralai/issues/640), it's possible that the maintainers are already aware of the issue, and there may be a fix or workaround suggested in the comments. Make sure to check that issue for any updates.

If there is no solution yet, consider posting your own detailed bug report on GitHub:

• Go to the [Mistralai Issues page](https://github.com/mistralai/mistralai/issues) and submit a new issue with a description of your problem, including the error trace and steps to reproduce.

Let me know how these steps go, and if you need more assistance, feel free to ask!

[WahahaZeng]

@micedevai Thank you so much for the help.

I found this article (https://github.com/mistralai/client-python/blob/d14559af390123cbd2d923e1e05f780500ce5411/MIGRATION.md?plain=1#L78) and it solves my problem.

Based on this article, chat_completion.py is deprecated.

[micedevai]

@WahahaZeng, You're welcome! I'm glad the article helped solve your problem. It’s good to know that the chat_completion.py is deprecated according to the article. If you need further assistance with any updates or migrating your code, feel free to reach out.

[freedomsha]

J'ai changé mistral_client.py comme ceci : `# from mistralai.client import MistralClient

from mistralai.models.chat_completion import ChatMessage

from mistralai import Mistral, UserMessage from src.config import Config

class MistralAi: def init(self): config = Config() api_key = config.get_mistral_api_key() # self.client = MistralClient(api_key=api_key) self.client = Mistral(api_key=api_key)

def inference(self, model_id: str, prompt: str) -> str:
    print("prompt", prompt.strip())
    # chat_completion = self.client.chat(
    #     model=model_id,
    #     messages=[
    #         ChatMessage(role="user", content=prompt.strip())
    #     ],
    #     temperature=0
    # )
    chat_completion = self.client.chat(
        model=model_id,
        messages = [
            {
                "role": "user",
                "content": prompt.strip(),
            },
        ],
        temperature=0
    )
    return chat_completion.choices[0].message.content

`

[ramdhakne]

I ran into the same issue, the py client needs to be on version 0.4.2, chat completion works on that. eg:

from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage

# works only on mistralai==0.4.2 
# pip install mistralai==0.4.2 

api_key = "XYqvvvvvvyyyyyyyyyy6666666666u1HzNO"
client = MistralClient(api_key=api_key)

messages = [
    ChatMessage(role="system", content="You are an AI assistant."),
    ChatMessage(role="user", content="What is the capital of Japan?")
]

response = client.chat(model="mistral-large-latest", messages=messages)
print(response.choices[0].message.content)