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llama-toolchain -> llama-stack (hyphens)
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@ -65,7 +65,7 @@ We define the Llama Stack as a layer cake shown below.
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The API is defined in the [YAML](RFC-0001-llama-stack-assets/llama-stack-spec.yaml) and [HTML](RFC-0001-llama-stack-assets/llama-stack-spec.html) files. These files were generated using the Pydantic definitions in (api/datatypes.py and api/endpoints.py) files that are in the llama-models, llama-toolchain, and llama-agentic-system repositories.
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The API is defined in the [YAML](RFC-0001-llama-stack-assets/llama-stack-spec.yaml) and [HTML](RFC-0001-llama-stack-assets/llama-stack-spec.html) files. These files were generated using the Pydantic definitions in (api/datatypes.py and api/endpoints.py) files that are in the llama-models, llama-stack, and llama-agentic-system repositories.
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@ -75,7 +75,7 @@ The API is defined in the [YAML](RFC-0001-llama-stack-assets/llama-stack-spec.ya
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To prove out the API, we implemented a handful of use cases to make things more concrete. The [llama-agentic-system](https://github.com/meta-llama/llama-agentic-system) repository contains [6 different examples](https://github.com/meta-llama/llama-agentic-system/tree/main/examples/scripts) ranging from very basic to a multi turn agent.
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There is also a sample inference endpoint implementation in the [llama-toolchain](https://github.com/meta-llama/llama-toolchain/blob/main/llama_stack/inference/server.py) repository.
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There is also a sample inference endpoint implementation in the [llama-stack](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/inference/server.py) repository.
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## Limitations
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