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
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 Distribution
frosty_ai-1.3.tar.gz
(8.1 kB
view details)
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 frosty_ai-1.3.tar.gz.
File metadata
- Download URL: frosty_ai-1.3.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
28bc2862f0ca31a0da29b634e0cee2f8de6e383c5cd7e9e054bcfb7397945b4d
|
|
| MD5 |
c839a6b3f0f25c3529e0e42dd1bb1b55
|
|
| BLAKE2b-256 |
169f69e1204258b550d7ac9feccb73565ebc700d9d4c5085f5885d4916f20c8e
|
File details
Details for the file frosty_ai-1.3-py3-none-any.whl.
File metadata
- Download URL: frosty_ai-1.3-py3-none-any.whl
- Upload date:
- Size: 7.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f924223134d4c48813f46933860e1aabfc5707d49c77cf3a6e590d001952ae86
|
|
| MD5 |
58b5fd91ee1662c00881563b586a5941
|
|
| BLAKE2b-256 |
0b542c65bb3182065a67ea972af60b072a9bdcc38b515157cb08ef86ab89d31d
|