Skip to main content

Low abstraction agentic LLM framework.

Project description

logo

About LLMBrix

  • in early alpha development do not use productively
  • low abstraction LLM framework
  • simple toolkit to create AI apps

Install

pip install llmbrix --pre

Use

See examples in examples/ dir.

Development notes

Install package

pip install -e '.[dev]'

Configure pre-commit hook

pip install pre-commit
pre-commit install

Run tests

pytest

Env setup

OpenAI API key

This framework currently supports only OpenAI completion API as an LLM backend. To enable it you have to configure env variable with your API access token (see https://platform.openai.com/docs/quickstart for more details).

export OPENAI_API_KEY="<YOUR API TOKEN>"

Other

Release test install

pip install --index-url https://test.pypi.org/simple/ \
            --extra-index-url https://pypi.org/simple \
            llmbrix --pre

Project details


Download files

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

Source Distribution

llmbrix-0.1.0a4.tar.gz (217.2 kB view details)

Uploaded Source

Built Distribution

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

llmbrix-0.1.0a4-py3-none-any.whl (217.0 kB view details)

Uploaded Python 3

File details

Details for the file llmbrix-0.1.0a4.tar.gz.

File metadata

  • Download URL: llmbrix-0.1.0a4.tar.gz
  • Upload date:
  • Size: 217.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for llmbrix-0.1.0a4.tar.gz
Algorithm Hash digest
SHA256 55964e9299b3ecc4e82d61179c296ed8c7d6654a5ae178ec57789fcb4ae3ddf8
MD5 d1982f39e8be21fedb25d52abbab80ea
BLAKE2b-256 b4f2c294c93be802f558e520868235e49e37200632d7ed8dcc01fb328e293c7e

See more details on using hashes here.

File details

Details for the file llmbrix-0.1.0a4-py3-none-any.whl.

File metadata

  • Download URL: llmbrix-0.1.0a4-py3-none-any.whl
  • Upload date:
  • Size: 217.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for llmbrix-0.1.0a4-py3-none-any.whl
Algorithm Hash digest
SHA256 d1840a9fa346129624896c705b14101a6bd292564f507cfd2c3be5386b61ced5
MD5 6cea53bc25768bdf83dcf49640686b7d
BLAKE2b-256 b0e3336c0d7ae0b69ad0b781715a2230004eb189080cd981e746f2ca63954f3c

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