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-0.8.tar.gz
(7.6 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-0.8.tar.gz.
File metadata
- Download URL: frosty_ai-0.8.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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6b365334987b4ce74e08a6e3717f9f76e4a928cf4008010dea79d77f702b7408
|
|
| MD5 |
d2a8c71b7bbfdfce9dad504a7cd63708
|
|
| BLAKE2b-256 |
8ecafb592f27fed43895a029c3c9bc2f9a5e0af44a33c1d876855e736ba948d2
|
File details
Details for the file frosty_ai-0.8-py3-none-any.whl.
File metadata
- Download URL: frosty_ai-0.8-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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c162e025970d5d078ad98451fb857817fdd19fc3d7097d845eed38ac280cc878
|
|
| MD5 |
1f7ce3e8591487dd65604b9c2a959958
|
|
| BLAKE2b-256 |
f9f0df6df8ed0fe0a62634dbeaf7e748182ec8b1c5e82cddf48e232414ee6eee
|