Update supported_llm.mdx

[makkor-git]

Current example of Ollama usage doesn't work, needs to be updated.

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Important

Update Python example for Ollama in supported_llm.mdx to fix non-working code.

• Python Example Update:
  • Update import statement to from openai import OpenAI in supported_llm.mdx.
  • Change openai.base_url and openai.api_key to OpenAI client initialization.
  • Update tools retrieval to use Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER.
  • Add result = toolset.handle_tool_calls(response) and print(result) to handle and display tool call results.

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Name	Status	Preview	Comments	Updated (UTC)
composio	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Jan 22, 2025 4:30pm

[ellipsis-dev]

👍 Looks good to me! Reviewed everything up to 83269f7 in 45 seconds

More details

• Looked at 45 lines of code in 1 files
• Skipped 0 files when reviewing.
• Skipped posting 1 drafted comments based on config settings.

1. docs/faq/supported_llms/supported_llm.mdx:28

• Draft comment:
  The model name should be consistent with the JavaScript example. Consider using model="llama3.1" for consistency.
• Reason this comment was not posted:
  Decided after close inspection that this draft comment was likely wrong and/or not actionable:
  The difference in model names could be intentional - ":8b" likely specifies a specific model size variant. Making them match could actually be incorrect if they're meant to use different variants. Without deeper knowledge of Ollama's model naming conventions and requirements, suggesting a change could be misleading.
  I might be underestimating the importance of consistency in documentation examples. Having different model names might confuse readers.
  While consistency is valuable in docs, we can't assume the difference is a mistake - it could be intentionally showing different model variants. Making them match could give incorrect information.
  Delete the comment. Without being certain about Ollama's model naming requirements, suggesting to change the model name could lead to incorrect information.

Workflow ID: wflow_pYiv0MFtiAgbEbcB

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[shreysingla11]

Code Review Summary

The changes in this PR improve the documentation by updating the Ollama integration example to use the latest OpenAI client pattern. Overall, the changes are well-structured and necessary.

Positive Aspects:

✅ Updates to modern OpenAI client initialization
✅ Proper configuration of base_url and api_key
✅ More specific tool configuration using actions instead of apps
✅ Consistent code style and formatting
✅ Added result handling and output display

Suggestions for Improvement:

• Added comments for better documentation of the Ollama configuration
• Suggested error handling for more robust example code

Overall Assessment:

This is a good quality update that improves the documentation by providing a working, modern example of Ollama integration. The changes align with current best practices and make the code more maintainable.

Rating: 8/10 - Good quality update with minor suggestions for improvement.