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-0.4.3-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file big_talk_ai-0.4.3-py3-none-any.whl.

File metadata

File hashes

Hashes for big_talk_ai-0.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 11bbe5148c55b17c0852ee151321d1b8375462b7a08368b67e548c13e45297ae
MD5 e40bcbca2179251f47359725a5991dba
BLAKE2b-256 7c1acb14365f5246a526be6ebdd9b30bd84f7dd608b123827306318d69769b43

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