Fix wrong llm value in example

[sanjeed5]

Original example had mixtal-llm which would result in an error. Replaced with gpt-4o according to https://docs.crewai.com/concepts/llms

[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for PR #1929

Overview

This pull request proposes an important modification to the docs/quickstart.mdx file to fix an incorrect LLM configuration value in the example code presented. This change is critical for ensuring users have the correct guidance when implementing features based on the documentation.

Changes Summary

LLM Configuration Fix

Original Value:

llm: mixtal_llm

Updated Value:

llm: openai/gpt-4o

Findings

Positive Aspects

1. Correction of Error: The update properly addresses the invalid LLM configuration, preventing runtime errors for users.
2. Alignment with Official Documentation: This change aligns with the official guidelines as found in the CrewAI documentation.
3. Proper Formatting: The YAML formatting has been maintained impeccably, contributing to the clarity and usability of the documentation.

Issues Identified

1. Potential Typo: The selected model gpt-4o seems to be a typographical error. It is recommended to correct this to gpt-4, as there may have been no previous mention of gpt-4o.
2. Lack of Context: The documentation could benefit from additional informative context regarding available LLM options to enhance user understanding.

Recommendations

1. Model Name Correction:

   • To rectify the likely typo:

   llm: openai/gpt-4  # Corrected model name

2. Add Clarifying Comments:

   • To provide users with a clearer understanding:

   llm: openai/gpt-4  # Supported LLM models include: openai/gpt-3.5-turbo, openai/gpt-4

3. Documentation Links:

   • It would be beneficial to include a link to the relevant LLM documentation section to further aid understanding.

4. Environment Variables:

   • Add comments regarding required environment variables for OpenAI authentication to guide users on necessary configurations.

5. Examples of Alternatives:

   • Including examples with alternative LLM providers would broaden the usefulness and inclusiveness of the documentation.

Conclusion

This PR successfully resolves an immediate issue by correcting an invalid LLM configuration. However, there is an opportunity for expanding the clarity and comprehensiveness of the documentation. Implementing the suggested changes will add user-friendly elements and ensure users are better equipped to use the documentation effectively.

Implementation Priority

• High: Correct the potential typo in the model name (gpt-4o → gpt-4)
• Medium: Add clarifying comments about supported models
• Low: Include additional examples with alternative LLM providers

This adjustment is instrumental for enhancing the user experience, ensuring accurate and accessible documentation for all users.

[joaomdmoura]

Good catch!