Skip to main content

A Python package for seamless multi-LLM routing, observability, and LLM-agnostic integration.

Project description

    Frosty AI is a Python package for seamless multi-LLM (Large Language Model) routing, observability, and management.
    
    Frosty empowers developers and organizations to remain LLM-agnostic, enabling seamless integration, management, and switching between various LLM providers without vendor lock-in. 
    With Frosty, you can:
    
    - Flexibly integrate with multiple LLM providers like OpenAI, Anthropic, and Mistral.
    - Future-proof your applications by easily switching to new or better-performing models as they become available.
    - Optimize costs by choosing models based on performance and pricing, avoiding vendor lock-in.
    
    For the most up-to-date documentation and usage examples, please visit the [Frosty AI Documentation](https://github.com/brittmmorris/frosty-ai-docs).

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

frosty_ai-0.6.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

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

frosty_ai-0.6-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file frosty_ai-0.6.tar.gz.

File metadata

  • Download URL: frosty_ai-0.6.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for frosty_ai-0.6.tar.gz
Algorithm Hash digest
SHA256 5643b2739b77a8a897dbd460342bfde21d77cdc1f39794cc6cd5463e7447a6b7
MD5 62e6a8ae2ca82eb9834fcf9368cb8017
BLAKE2b-256 8f919fe1180ad6ad4c3de01069f32ba4bb44e3ae2a625fe59f1dfd1ff2337235

See more details on using hashes here.

File details

Details for the file frosty_ai-0.6-py3-none-any.whl.

File metadata

  • Download URL: frosty_ai-0.6-py3-none-any.whl
  • Upload date:
  • Size: 7.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for frosty_ai-0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 3dd989bf69b35c7df5603aee4a8cdae7e6de76f12924e45e8d94a2aedbae0a1f
MD5 76988a4abd39fd288dc62791846b428f
BLAKE2b-256 d2a7bc3dcde46a1475e69f8380a9965c88da079a9a6d62eb1d2f9d2105d92e7b

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