Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

big_talk_ai-0.4.7-py3-none-any.whl (16.0 kB view details)

Uploaded Python 3

File details

Details for the file big_talk_ai-0.4.7-py3-none-any.whl.

File metadata

File hashes

Hashes for big_talk_ai-0.4.7-py3-none-any.whl
Algorithm Hash digest
SHA256 0d64c52fcba8082a3c0b6ef6b860cc5e6401a30eb93c5b3dad99e027b87db605
MD5 e3e07800968f43ea9f70ade6ea992067
BLAKE2b-256 23e04d4e0aee95933a53af9397bc3fb017431f8cad94139ed4d2f120a4b0f30a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page