phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-08-15 06:00:48 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge d03cd30b33 into 81ecaf6221

Browse source
This commit is contained in:
Kelly Brown 2025-08-14 21:29:42 -07:00 • committed by GitHub
commit 2b9285c858
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 7 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

7
docs/source/contributing/new_api_provider.md
View file

@ -14,6 +14,13 @@ Here are some example PRs to help you get started:
- [Nvidia Inference Implementation](https://github.com/meta-llama/llama-stack/pull/355) - [Nvidia Inference Implementation](https://github.com/meta-llama/llama-stack/pull/355)
- [Model context protocol Tool Runtime](https://github.com/meta-llama/llama-stack/pull/665) - [Model context protocol Tool Runtime](https://github.com/meta-llama/llama-stack/pull/665)
## Guidelines for creating Internal or External Providers
|**Type** |Internal (In-tree) |External (out-of-tree)
|---------|-------------------|---------------------|
|**Description** |A provider that is directly in the Llama Stack code|A provider that is outside of the Llama stack core codebase but is still accessible and usable by Llama Stack.
|**Benefits** |Ability to interact with the provider with minimal additional configurations or installations| Contributors do not have to add directly to the code to create providers accessible on Llama Stack. Keep provider-specific code separate from the core Llama Stack code.
## Inference Provider Patterns ## Inference Provider Patterns
When implementing Inference providers for OpenAI-compatible APIs, Llama Stack provides several mixin classes to simplify development and ensure consistent behavior across providers. When implementing Inference providers for OpenAI-compatible APIs, Llama Stack provides several mixin classes to simplify development and ensure consistent behavior across providers.