Openai API calls unified so you can build complex apps quickly|GPT4 + GPTVision + DallE + Embeddings
AI Summary
OpenAI Unified Class Summary
- Purpose: Simplifies interaction with OpenAI’s API, including GPT, Vision, and embeddings.
- Features:
- Create chat loops and complex agent workflows.
- Generate images and perform similarity searches.
- Manage JSON mode, streaming, and asynchronous calls.
- Set limits on message history and message length.
- Usage:
- Initialize with GPT calls and send messages.
- Track message history automatically.
- Include async methods for parallel calls.
- Limit response length (e.g., max words per message).
- Additional Tools:
- Help method for guidance and settings.
- Add system messages with
add_message.- Generate images and save them with
generate_image.- Perform similarity searches with embeddings.
- Create a Vector DB for similarity search systems.
- Example Project:
- Coder agent writes a tower defense game.
- Review agents provide feedback in parallel.
- Coder agent improves code based on feedback.
- Availability:
- Code files available on Patreon at the AI architect level.
- Code Efficiency:
- Achieved complex tasks in 63 lines of code.
- Total of 470 lines, excluding help method.
- Requirements:
- OpenAI, termcolor, scikit-learn, NumPy, pandas.
- Functionality:
- Initialize with API key, model, history, and message settings.
- Choose between JSON mode, streaming, and async.
- Methods for chat, image generation, and similarity search.
- Support:
- Consulting and one-on-one meetings available for certain Patreon tiers.
- Additional Resources:
- Videos and code downloads on Echo.live.
- Auto streamer app for content creation.
- Access to 900+ GPT-powered Python applications.
For more detailed information and access to the code, visit the creator’s Patreon page.