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revert unnecessary whitespace changes in mdx files
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@ -13,6 +13,6 @@ title: Agents
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Agents
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APIs for creating and interacting with agentic systems.
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APIs for creating and interacting with agentic systems.
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This section contains documentation for all available providers for the **agents** API.
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@ -19,14 +19,14 @@ title: Batches
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## Overview
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The Batches API enables efficient processing of multiple requests in a single operation,
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particularly useful for processing large datasets, batch evaluation workflows, and
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cost-effective inference at scale.
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particularly useful for processing large datasets, batch evaluation workflows, and
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cost-effective inference at scale.
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The API is designed to allow use of openai client libraries for seamless integration.
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The API is designed to allow use of openai client libraries for seamless integration.
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This API provides the following extensions:
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This API provides the following extensions:
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- idempotent batch creation
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Note: This API is currently under active development and may undergo changes.
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Note: This API is currently under active development and may undergo changes.
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This section contains documentation for all available providers for the **batches** API.
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@ -13,6 +13,6 @@ title: Eval
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Evaluations
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Llama Stack Evaluation API for running evaluations on model and agent candidates.
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Llama Stack Evaluation API for running evaluations on model and agent candidates.
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This section contains documentation for all available providers for the **eval** API.
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@ -13,6 +13,6 @@ title: Files
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Files
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This API is used to upload documents that can be used with other Llama Stack APIs.
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This API is used to upload documents that can be used with other Llama Stack APIs.
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This section contains documentation for all available providers for the **files** API.
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@ -18,11 +18,11 @@ title: Inference
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Inference
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Llama Stack Inference API for generating completions, chat completions, and embeddings.
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Llama Stack Inference API for generating completions, chat completions, and embeddings.
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This API provides the raw interface to the underlying models. Three kinds of models are supported:
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- LLM models: these models generate "raw" and "chat" (conversational) completions.
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- Embedding models: these models generate embeddings to be used for semantic search.
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- Rerank models: these models reorder the documents based on their relevance to a query.
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This API provides the raw interface to the underlying models. Three kinds of models are supported:
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- LLM models: these models generate "raw" and "chat" (conversational) completions.
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- Embedding models: these models generate embeddings to be used for semantic search.
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- Rerank models: these models reorder the documents based on their relevance to a query.
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This section contains documentation for all available providers for the **inference** API.
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@ -13,6 +13,6 @@ title: Safety
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Safety
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OpenAI-compatible Moderations API.
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OpenAI-compatible Moderations API.
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This section contains documentation for all available providers for the **safety** API.
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