docs: provider formatting updates

This commit is contained in:
Alexey Rybak 2025-10-02 13:50:47 -07:00
parent 86aee92111
commit b35b546a2e
5 changed files with 40 additions and 22 deletions

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--- ---
description: "Agents description: "Agents
APIs for creating and interacting with agentic systems." APIs for creating and interacting with agentic systems."
sidebar_label: Agents sidebar_label: Agents
title: Agents title: Agents
--- ---
@ -12,6 +12,6 @@ title: Agents
Agents Agents
APIs for creating and interacting with agentic systems. APIs for creating and interacting with agentic systems.
This section contains documentation for all available providers for the **agents** API. This section contains documentation for all available providers for the **agents** API.

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--- ---
description: "The Batches API enables efficient processing of multiple requests in a single operation, description: "The Batches API enables efficient processing of multiple requests in a single operation,
particularly useful for processing large datasets, batch evaluation workflows, and particularly useful for processing large datasets, batch evaluation workflows, and
cost-effective inference at scale. cost-effective inference at scale.
The API is designed to allow use of openai client libraries for seamless integration. The API is designed to allow use of openai client libraries for seamless integration.
This API provides the following extensions: This API provides the following extensions:
- idempotent batch creation - idempotent batch creation
Note: This API is currently under active development and may undergo changes." Note: This API is currently under active development and may undergo changes."
sidebar_label: Batches sidebar_label: Batches
title: Batches title: Batches
--- ---
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## Overview ## Overview
The Batches API enables efficient processing of multiple requests in a single operation, The Batches API enables efficient processing of multiple requests in a single operation,
particularly useful for processing large datasets, batch evaluation workflows, and particularly useful for processing large datasets, batch evaluation workflows, and
cost-effective inference at scale. cost-effective inference at scale.
The API is designed to allow use of openai client libraries for seamless integration. The API is designed to allow use of openai client libraries for seamless integration.
This API provides the following extensions: This API provides the following extensions:
- idempotent batch creation - idempotent batch creation
Note: This API is currently under active development and may undergo changes. Note: This API is currently under active development and may undergo changes.
This section contains documentation for all available providers for the **batches** API. This section contains documentation for all available providers for the **batches** API.

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--- ---
description: "Files
This API is used to upload documents that can be used with other Llama Stack APIs."
sidebar_label: Files sidebar_label: Files
title: Files title: Files
--- ---
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## Overview ## Overview
Files
This API is used to upload documents that can be used with other Llama Stack APIs.
This section contains documentation for all available providers for the **files** API. This section contains documentation for all available providers for the **files** API.

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--- ---
description: "Llama Stack Inference API for generating completions, chat completions, and embeddings. description: "Inference
This API provides the raw interface to the underlying models. Two kinds of models are supported: Llama Stack Inference API for generating completions, chat completions, and embeddings.
- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.
- Embedding models: these models generate embeddings to be used for semantic search." This API provides the raw interface to the underlying models. Two kinds of models are supported:
- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.
- Embedding models: these models generate embeddings to be used for semantic search."
sidebar_label: Inference sidebar_label: Inference
title: Inference title: Inference
--- ---
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## Overview ## Overview
Llama Stack Inference API for generating completions, chat completions, and embeddings. Inference
This API provides the raw interface to the underlying models. Two kinds of models are supported: Llama Stack Inference API for generating completions, chat completions, and embeddings.
- LLM models: these models generate "raw" and "chat" (conversational) completions.
- Embedding models: these models generate embeddings to be used for semantic search. This API provides the raw interface to the underlying models. Two kinds of models are supported:
- LLM models: these models generate "raw" and "chat" (conversational) completions.
- Embedding models: these models generate embeddings to be used for semantic search.
This section contains documentation for all available providers for the **inference** API. This section contains documentation for all available providers for the **inference** API.

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--- ---
description: "Safety
OpenAI-compatible Moderations API."
sidebar_label: Safety sidebar_label: Safety
title: Safety title: Safety
--- ---
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## Overview ## Overview
Safety
OpenAI-compatible Moderations API.
This section contains documentation for all available providers for the **safety** API. This section contains documentation for all available providers for the **safety** API.