Feature o1 branch#154
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Hello @dhruvj07, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
Summary of Changes
This pull request introduces a new example script, o1-03_function-calling.py, demonstrating function calling and structured output capabilities using both OpenAI and Azure OpenAI models via the Javelin SDK. It includes examples for non-streaming and streaming function calls, as well as structured output calls for both platforms. Additionally, it showcases regular route endpoint examples for OpenAI, covering both streaming and non-streaming scenarios. The notebook openai_universal-rout.ipynb was removed.
Highlights
- Function Calling Examples: The script provides examples of how to use function calling with OpenAI and Azure OpenAI, showcasing both streaming and non-streaming approaches.
- Structured Output Examples: Demonstrates how to generate structured JSON output using OpenAI and Azure OpenAI models, including parsing the output.
- Regular Route Endpoints: Includes examples for using regular route endpoints with OpenAI, showing both streaming and non-streaming calls through the Javelin client.
- Unified Endpoint Examples: The script uses unified endpoints for OpenAI and Azure OpenAI, simplifying the integration with Javelin.
- Argument Parsing: The script uses argparse to allow users to specify which example to run from the command line.
Changelog
- examples/openai/o1-03_function-calling.py
- Added a new script demonstrating function calling and structured output examples for OpenAI and Azure OpenAI.
- Implemented non-streaming and streaming function call examples for both OpenAI and Azure OpenAI.
- Implemented structured output call examples for both OpenAI and Azure OpenAI, including JSON parsing.
- Added regular route endpoint examples for OpenAI, covering both streaming and non-streaming scenarios.
- Utilized argparse to allow users to select specific examples to run.
- Included helper function
extract_json_from_markdownto extract JSON content from markdown code blocks.
- examples/openai/openai_universal-rout.ipynb
- Removed the notebook file.
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Trivia time!
What is the name of the model that was recently released by OpenAI, that is a multimodal model?
Click here for the answer
GPT-4o is OpenAI's new flagship multimodal model that can accept any combination of text, audio, image, and video as input and generate any combination of text, audio, image, and video outputs.
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Code Review
The pull request introduces a new example file demonstrating function calling with OpenAI and Azure OpenAI, along with modifications to an existing notebook. The code appears well-structured and includes examples for both streaming and non-streaming function calls, as well as structured output calls. However, there are a few areas that could be improved for clarity and maintainability.
Summary of Findings
Merge Readiness
The code is generally well-structured and provides useful examples. However, before merging, it would be beneficial to address the minor suggestions to improve code clarity and maintainability. I am unable to directly approve this pull request, and recommend that others review and approve this code before merging.
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