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llama-stack-mirror/docs/source/concepts/resources.md

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Resources

Some of these APIs are associated with a set of Resources. Here is the mapping of APIs to resources:

  • Inference, Eval and Post Training are associated with Model resources.
  • Safety is associated with Shield resources.
  • Tool Runtime is associated with ToolGroup resources.
  • DatasetIO is associated with Dataset resources.
  • VectorIO is associated with VectorDB resources.
  • Scoring is associated with ScoringFunction resources.
  • Eval is associated with Model and Benchmark resources.

Furthermore, we allow these resources to be federated across multiple providers. For example, you may have some Llama models served by Fireworks while others are served by AWS Bedrock. Regardless, they will all work seamlessly with the same uniform Inference API provided by Llama Stack.

:class: tip

Given this architecture, it is necessary for the Stack to know which provider to use for a given resource. This means you need to explicitly _register_ resources (including models) before you can use them with the associated APIs.