The lightweight, middleware-first LLM framework for Python.
Project description
🦜 BigTalk
The lightweight, middleware-first LLM framework for Python.
BigTalk is designed for developers who want the power of agents (tool calling, loops, memory) without the bloat of heavy frameworks. It provides a clean, type-safe abstraction over LLMs with a robust middleware pipeline inspired by Starlette/FastAPI.
Installation
pip install big-talk-ai[anthropic]
uv add big-talk-ai[anthropic]
Documentation
Visit the GitHub repository for detailed documentation and examples: BigTalk on GitHub
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file big_talk_ai-1.4.0-py3-none-any.whl.
File metadata
- Download URL: big_talk_ai-1.4.0-py3-none-any.whl
- Upload date:
- Size: 18.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a61f5d8061810ad78b842a9476924d08e598a5101546bbc2db954b6728b6c0be
|
|
| MD5 |
a87424dc31ccb44e2fb12ea5fa90f087
|
|
| BLAKE2b-256 |
6a6d415d9b1113cf1713f9b818d510e1b879a4157865b7baeb05ec901b8e7e00
|
