How to use Assistants API and the best way to do it
AI Summary
Summary: Exploring the New Assistance V2 API
- Introduction:
- Video covers creating and using the new Assistance V2 API from the web UI and Python.
- Focus on vector stores, file search, code interpreter, and managing message size with mix prompt tokens.
- Features:
- Mix prompt tokens allow for message size management.
- Mix completion tokens and truncation strategies can be dynamically managed.
- Class included for file management of the Assistance API.
- Cost management due to charges based on stored files.
- Usage:
- Assistance and vector stores start empty.
- New API chunks and vectorizes files automatically.
- Creation of a new assistant is done on the OpenAI platform.
- Assistant can be named and given instructions.
- GPT-4 Turbo used with optional file search and code interpreter.
- Assistant ID and thread management are crucial for Python calls.
- Streaming API explored for real-time responses.
- Threads can be continued or new ones created.
- Tokens used are tracked and managed with a limit set by mix prompt tokens.
- File Search and Code Interpreter:
- Enabling these features allows for file uploads and vector store creation.
- Files can be managed from the assistant, including adding and deleting.
- Vector stores have expiration policies.
- File search and code interpreter can be turned on for the assistant.
- Tool Usage:
- Tools can be set to automatic or required for a chat turn.
- Assistant decides whether to use tools based on the query.
- Mix prompt token issue noted where messages might be dropped.
- Web UI and Code Review:
- Assistants can be tested in the playground.
- Threads can be managed but not deleted.
- Files can be attached to messages or threads.
- Code files for the project will be available on Patreon.
- Conclusion:
- Assistance API is maturing and simplifies tasks.
- Small quirks exist but overall functionality is beneficial.
- Detailed video and code files are provided for further learning.