From 631e9d7762966089abc133337e6a099f9c568f23 Mon Sep 17 00:00:00 2001 From: Eric Huang Date: Thu, 2 Oct 2025 14:50:38 -0700 Subject: [PATCH] chore: fix precommit # What does this PR do? ## Test Plan --- docs/docs/providers/agents/index.mdx | 4 ++-- docs/docs/providers/batches/index.mdx | 24 ++++++++++++------------ docs/docs/providers/inference/index.mdx | 12 ++++++------ 3 files changed, 20 insertions(+), 20 deletions(-) diff --git a/docs/docs/providers/agents/index.mdx b/docs/docs/providers/agents/index.mdx index 52b92734e..06eb104af 100644 --- a/docs/docs/providers/agents/index.mdx +++ b/docs/docs/providers/agents/index.mdx @@ -1,7 +1,7 @@ --- description: "Agents -APIs for creating and interacting with agentic systems." + APIs for creating and interacting with agentic systems." sidebar_label: Agents title: Agents --- @@ -12,6 +12,6 @@ title: 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. diff --git a/docs/docs/providers/batches/index.mdx b/docs/docs/providers/batches/index.mdx index 18e5e314d..2c64b277f 100644 --- a/docs/docs/providers/batches/index.mdx +++ b/docs/docs/providers/batches/index.mdx @@ -1,14 +1,14 @@ --- description: "The Batches API enables efficient processing of multiple requests in a single operation, -particularly useful for processing large datasets, batch evaluation workflows, and -cost-effective inference at scale. + particularly useful for processing large datasets, batch evaluation workflows, and + 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: - - idempotent batch creation + This API provides the following extensions: + - 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 title: Batches --- @@ -18,14 +18,14 @@ title: Batches ## Overview The Batches API enables efficient processing of multiple requests in a single operation, -particularly useful for processing large datasets, batch evaluation workflows, and -cost-effective inference at scale. + particularly useful for processing large datasets, batch evaluation workflows, and + 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: - - idempotent batch creation + This API provides the following extensions: + - 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. diff --git a/docs/docs/providers/inference/index.mdx b/docs/docs/providers/inference/index.mdx index 1dc479675..ebbaf1be1 100644 --- a/docs/docs/providers/inference/index.mdx +++ b/docs/docs/providers/inference/index.mdx @@ -1,9 +1,9 @@ --- description: "Llama Stack Inference API for generating completions, chat completions, and embeddings. -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 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 title: Inference --- @@ -14,8 +14,8 @@ title: Inference Llama Stack Inference API for generating completions, chat completions, and embeddings. -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 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.