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docs/docs/providers/agents/index.mdx

@@ -2,7 +2,7 @@
 description: |
   Agents
 
-  APIs for creating and interacting with agentic systems.
+      APIs for creating and interacting with agentic systems.
 sidebar_label: Agents
 title: Agents
 ---
@@ -13,6 +13,6 @@ 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.

docs/docs/providers/batches/index.mdx

@@ -1,15 +1,15 @@
 ---
 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
 ---
@@ -19,14 +19,14 @@ 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.

docs/docs/providers/eval/index.mdx

@@ -2,7 +2,7 @@
 description: |
   Evaluations
 
-  Llama Stack Evaluation API for running evaluations on model and agent candidates.
+      Llama Stack Evaluation API for running evaluations on model and agent candidates.
 sidebar_label: Eval
 title: Eval
 ---
@@ -13,6 +13,6 @@ title: Eval
 
 Evaluations
 
-Llama Stack Evaluation API for running evaluations on model and agent candidates.
+    Llama Stack Evaluation API for running evaluations on model and agent candidates.
 
 This section contains documentation for all available providers for the **eval** API.

docs/docs/providers/files/index.mdx

@@ -2,7 +2,7 @@
 description: |
   Files
 
-  This API is used to upload documents that can be used with other Llama Stack APIs.
+      This API is used to upload documents that can be used with other Llama Stack APIs.
 sidebar_label: Files
 title: Files
 ---
@@ -13,6 +13,6 @@ title: Files
 
 Files
 
-This API is used to upload documents that can be used with other Llama Stack APIs.
+    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.

docs/docs/providers/inference/index.mdx

@@ -2,12 +2,12 @@
 description: |
   Inference
 
-  Llama Stack Inference API for generating completions, chat completions, and embeddings.
+      Llama Stack Inference API for generating completions, chat completions, and embeddings.
 
-  This API provides the raw interface to the underlying models. Three 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.
-  - Rerank models: these models reorder the documents based on their relevance to a query.
+      This API provides the raw interface to the underlying models. Three 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.
+      - Rerank models: these models reorder the documents based on their relevance to a query.
 sidebar_label: Inference
 title: Inference
 ---
@@ -18,11 +18,11 @@ title: Inference
 
 Inference
 
-Llama Stack Inference API for generating completions, chat completions, and embeddings.
+    Llama Stack Inference API for generating completions, chat completions, and embeddings.
 
-This API provides the raw interface to the underlying models. Three 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.
-- Rerank models: these models reorder the documents based on their relevance to a query.
+    This API provides the raw interface to the underlying models. Three 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.
+    - Rerank models: these models reorder the documents based on their relevance to a query.
 
 This section contains documentation for all available providers for the **inference** API.

docs/docs/providers/safety/index.mdx

@@ -2,7 +2,7 @@
 description: |
   Safety
 
-  OpenAI-compatible Moderations API.
+      OpenAI-compatible Moderations API.
 sidebar_label: Safety
 title: Safety
 ---
@@ -13,6 +13,6 @@ title: Safety
 
 Safety
 
-OpenAI-compatible Moderations API.
+    OpenAI-compatible Moderations API.
 
 This section contains documentation for all available providers for the **safety** API.

docs/docs/providers/safety/remote_bedrock.mdx

@@ -20,7 +20,7 @@ AWS Bedrock safety provider for content moderation using AWS's safety services.
 | `aws_secret_access_key` | `str \| None` | No |  | The AWS secret access key to use. Default use environment variable: AWS_SECRET_ACCESS_KEY |
 | `aws_session_token` | `str \| None` | No |  | The AWS session token to use. Default use environment variable: AWS_SESSION_TOKEN |
 | `region_name` | `str \| None` | No |  | The default AWS Region to use, for example, us-west-1 or us-west-2.Default use environment variable: AWS_DEFAULT_REGION |
-| `profile_name` | `str \| None` | No | | The profile name that contains credentials to use.Default use environment variable: AWS_PROFILE |
+| `profile_name` | `str \| None` | No |  | The profile name that contains credentials to use.Default use environment variable: AWS_PROFILE |
 | `total_max_attempts` | `int \| None` | No |  | An integer representing the maximum number of attempts that will be made for a single request, including the initial attempt. Default use environment variable: AWS_MAX_ATTEMPTS |
 | `retry_mode` | `str \| None` | No |  | A string representing the type of retries Boto3 will perform.Default use environment variable: AWS_RETRY_MODE |
 | `connect_timeout` | `float \| None` | No | 60.0 | The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. |