Generate updated docs

docs/docs/providers/agents/index.mdx

@@ -1,7 +1,8 @@
 ---
-description: "Agents
+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 +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/agents/inline_meta-reference.mdx

@@ -14,7 +14,7 @@ Meta's reference implementation of an agent system that can use tools, access ve
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `persistence` | `<class 'inline.agents.meta_reference.config.AgentPersistenceConfig'>` | No |  |  |
+| `persistence` | `inline.agents.meta_reference.config.AgentPersistenceConfig` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/batches/index.mdx

@@ -1,23 +1,6 @@
 ---
-description: "The Batches API enables efficient processing of multiple requests in a single operation,
+description: |
-    particularly useful for processing large datasets, batch evaluation workflows, and
+  The Batches API enables efficient processing of multiple requests in a single operation,
-    cost-effective inference at scale.
-
-    The API is designed to allow use of openai client libraries for seamless integration.
-
-    This API provides the following extensions:
-     - idempotent batch creation
-
-    Note: This API is currently under active development and may undergo changes."
-sidebar_label: Batches
-title: Batches
----
-
-# 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.
 
@@ -27,5 +10,23 @@ The Batches API enables efficient processing of multiple requests in a single op
    - idempotent batch creation
 
   Note: This API is currently under active development and may undergo changes.
+sidebar_label: Batches
+title: Batches
+---
+
+# 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.
+
+The API is designed to allow use of openai client libraries for seamless integration.
+
+This API provides the following extensions:
+ - idempotent batch creation
+
+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/batches/inline_reference.mdx

@@ -14,9 +14,9 @@ Reference implementation of batches API with KVStore persistence.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `kvstore` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Configuration for the key-value store backend. |
+| `kvstore` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Configuration for the key-value store backend. |
-| `max_concurrent_batches` | `<class 'int'>` | No | 1 | Maximum number of concurrent batches to process simultaneously. |
+| `max_concurrent_batches` | `int` | No | 1 | Maximum number of concurrent batches to process simultaneously. |
-| `max_concurrent_requests_per_batch` | `<class 'int'>` | No | 10 | Maximum number of concurrent requests to process per batch. |
+| `max_concurrent_requests_per_batch` | `int` | No | 10 | Maximum number of concurrent requests to process per batch. |
 
 ## Sample Configuration
 

docs/docs/providers/datasetio/inline_localfs.mdx

@@ -14,7 +14,7 @@ Local filesystem-based dataset I/O provider for reading and writing datasets to
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `kvstore` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `kvstore` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/datasetio/remote_huggingface.mdx

@@ -14,7 +14,7 @@ HuggingFace datasets provider for accessing and managing datasets from the Huggi
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `kvstore` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `kvstore` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/datasetio/remote_nvidia.mdx

@@ -17,7 +17,7 @@ NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform
 | `api_key` | `str \| None` | No |  | The NVIDIA API key. |
 | `dataset_namespace` | `str \| None` | No | default | The NVIDIA dataset namespace. |
 | `project_id` | `str \| None` | No | test-project | The NVIDIA project ID. |
-| `datasets_url` | `<class 'str'>` | No | http://nemo.test | Base URL for the NeMo Dataset API |
+| `datasets_url` | `str` | No | http://nemo.test | Base URL for the NeMo Dataset API |
 
 ## Sample Configuration
 

docs/docs/providers/eval/index.mdx

@@ -1,7 +1,8 @@
 ---
-description: "Evaluations
+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
 ---
@@ -12,6 +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/eval/inline_meta-reference.mdx

@@ -14,7 +14,7 @@ Meta's reference implementation of evaluation tasks with support for multiple la
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `kvstore` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `kvstore` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/eval/remote_nvidia.mdx

@@ -14,7 +14,7 @@ NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `evaluator_url` | `<class 'str'>` | No | http://0.0.0.0:7331 | The url for accessing the evaluator service |
+| `evaluator_url` | `str` | No | http://0.0.0.0:7331 | The url for accessing the evaluator service |
 
 ## Sample Configuration
 

docs/docs/providers/files/index.mdx

@@ -1,7 +1,8 @@
 ---
-description: "Files
+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
 ---
@@ -12,6 +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/files/inline_localfs.mdx

@@ -14,9 +14,9 @@ Local filesystem-based file storage provider for managing files and documents lo
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `storage_dir` | `<class 'str'>` | No |  | Directory to store uploaded files |
+| `storage_dir` | `str` | No |  | Directory to store uploaded files |
-| `metadata_store` | `<class 'llama_stack.core.storage.datatypes.SqlStoreReference'>` | No |  | SQL store configuration for file metadata |
+| `metadata_store` | `llama_stack.core.storage.datatypes.SqlStoreReference` | No |  | SQL store configuration for file metadata |
-| `ttl_secs` | `<class 'int'>` | No | 31536000 |  |
+| `ttl_secs` | `int` | No | 31536000 |  |
 
 ## Sample Configuration
 

docs/docs/providers/files/remote_openai.mdx

@@ -14,8 +14,8 @@ OpenAI Files API provider for managing files through OpenAI's native file storag
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `api_key` | `<class 'str'>` | No |  | OpenAI API key for authentication |
+| `api_key` | `str` | No |  | OpenAI API key for authentication |
-| `metadata_store` | `<class 'llama_stack.core.storage.datatypes.SqlStoreReference'>` | No |  | SQL store configuration for file metadata |
+| `metadata_store` | `llama_stack.core.storage.datatypes.SqlStoreReference` | No |  | SQL store configuration for file metadata |
 
 ## Sample Configuration
 

docs/docs/providers/files/remote_s3.mdx

@@ -14,13 +14,13 @@ AWS S3-based file storage provider for scalable cloud file management with metad
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `bucket_name` | `<class 'str'>` | No |  | S3 bucket name to store files |
+| `bucket_name` | `str` | No |  | S3 bucket name to store files |
-| `region` | `<class 'str'>` | No | us-east-1 | AWS region where the bucket is located |
+| `region` | `str` | No | us-east-1 | AWS region where the bucket is located |
 | `aws_access_key_id` | `str \| None` | No |  | AWS access key ID (optional if using IAM roles) |
 | `aws_secret_access_key` | `str \| None` | No |  | AWS secret access key (optional if using IAM roles) |
 | `endpoint_url` | `str \| None` | No |  | Custom S3 endpoint URL (for MinIO, LocalStack, etc.) |
-| `auto_create_bucket` | `<class 'bool'>` | No | False | Automatically create the S3 bucket if it doesn't exist |
+| `auto_create_bucket` | `bool` | No | False | Automatically create the S3 bucket if it doesn't exist |
-| `metadata_store` | `<class 'llama_stack.core.storage.datatypes.SqlStoreReference'>` | No |  | SQL store configuration for file metadata |
+| `metadata_store` | `llama_stack.core.storage.datatypes.SqlStoreReference` | No |  | SQL store configuration for file metadata |
 
 ## Sample Configuration
 

docs/docs/providers/inference/index.mdx

@@ -1,12 +1,13 @@
 ---
-description: "Inference
+description: |
+  Inference
 
   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.
+  - 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."
+  - Rerank models: these models reorder the documents based on their relevance to a query.
 sidebar_label: Inference
 title: Inference
 ---
@@ -17,11 +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:
+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.
+- LLM models: these models generate "raw" and "chat" (conversational) completions.
-    - Embedding models: these models generate embeddings to be used for semantic search.
+- 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.
+- 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/inference/inline_meta-reference.mdx

@@ -16,12 +16,12 @@ Meta's reference implementation of inference with support for various model form
 |-------|------|----------|---------|-------------|
 | `model` | `str \| None` | No |  |  |
 | `torch_seed` | `int \| None` | No |  |  |
-| `max_seq_len` | `<class 'int'>` | No | 4096 |  |
+| `max_seq_len` | `int` | No | 4096 |  |
-| `max_batch_size` | `<class 'int'>` | No | 1 |  |
+| `max_batch_size` | `int` | No | 1 |  |
 | `model_parallel_size` | `int \| None` | No |  |  |
-| `create_distributed_process_group` | `<class 'bool'>` | No | True |  |
+| `create_distributed_process_group` | `bool` | No | True |  |
 | `checkpoint_dir` | `str \| None` | No |  |  |
-| `quantization` | `Bf16QuantizationConfig \| Fp8QuantizationConfig \| Int4QuantizationConfig, annotation=NoneType, required=True, discriminator='type'` | No |  |  |
+| `quantization` | `Bf16QuantizationConfig \| Fp8QuantizationConfig \| Int4QuantizationConfig` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_anthropic.mdx

@@ -14,8 +14,8 @@ Anthropic inference provider for accessing Claude models and Anthropic's AI serv
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
 
 ## Sample Configuration

docs/docs/providers/inference/remote_azure.mdx

@@ -21,10 +21,10 @@ https://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `api_base` | `<class 'pydantic.networks.HttpUrl'>` | No |  | Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com) |
+| `api_base` | `pydantic.networks.HttpUrl` | No |  | Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com) |
 | `api_version` | `str \| None` | No |  | Azure API version for Azure (e.g., 2024-12-01-preview) |
 | `api_type` | `str \| None` | No | azure | Azure API type for Azure (e.g., azure) |
 

docs/docs/providers/inference/remote_cerebras.mdx

@@ -14,10 +14,10 @@ Cerebras inference provider for running models on Cerebras Cloud platform.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `base_url` | `<class 'str'>` | No | https://api.cerebras.ai | Base URL for the Cerebras API |
+| `base_url` | `str` | No | https://api.cerebras.ai | Base URL for the Cerebras API |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_databricks.mdx

@@ -14,8 +14,8 @@ Databricks inference provider for running models on Databricks' unified analytic
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_token` | `pydantic.types.SecretStr \| None` | No |  | The Databricks API token |
 | `url` | `str \| None` | No |  | The URL for the Databricks model serving endpoint |
 

docs/docs/providers/inference/remote_fireworks.mdx

@@ -14,10 +14,10 @@ Fireworks AI inference provider for Llama models and other AI models on the Fire
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `url` | `<class 'str'>` | No | https://api.fireworks.ai/inference/v1 | The URL for the Fireworks server |
+| `url` | `str` | No | https://api.fireworks.ai/inference/v1 | The URL for the Fireworks server |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_gemini.mdx

@@ -14,8 +14,8 @@ Google Gemini inference provider for accessing Gemini models and Google's AI ser
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
 
 ## Sample Configuration

docs/docs/providers/inference/remote_groq.mdx

@@ -14,10 +14,10 @@ Groq inference provider for ultra-fast inference using Groq's LPU technology.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `url` | `<class 'str'>` | No | https://api.groq.com | The URL for the Groq AI server |
+| `url` | `str` | No | https://api.groq.com | The URL for the Groq AI server |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_hf_endpoint.mdx

@@ -14,7 +14,7 @@ HuggingFace Inference Endpoints provider for dedicated model serving.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `endpoint_name` | `<class 'str'>` | No |  | The name of the Hugging Face Inference Endpoint in the format of '&#123;namespace&#125;/&#123;endpoint_name&#125;' (e.g. 'my-cool-org/meta-llama-3-1-8b-instruct-rce'). Namespace is optional and will default to the user account if not provided. |
+| `endpoint_name` | `str` | No |  | The name of the Hugging Face Inference Endpoint in the format of '&#123;namespace&#125;/&#123;endpoint_name&#125;' (e.g. 'my-cool-org/meta-llama-3-1-8b-instruct-rce'). Namespace is optional and will default to the user account if not provided. |
 | `api_token` | `pydantic.types.SecretStr \| None` | No |  | Your Hugging Face user access token (will default to locally saved token if not provided) |
 
 ## Sample Configuration

docs/docs/providers/inference/remote_hf_serverless.mdx

@@ -14,7 +14,7 @@ HuggingFace Inference API serverless provider for on-demand model inference.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `huggingface_repo` | `<class 'str'>` | No |  | The model ID of the model on the Hugging Face Hub (e.g. 'meta-llama/Meta-Llama-3.1-70B-Instruct') |
+| `huggingface_repo` | `str` | No |  | The model ID of the model on the Hugging Face Hub (e.g. 'meta-llama/Meta-Llama-3.1-70B-Instruct') |
 | `api_token` | `pydantic.types.SecretStr \| None` | No |  | Your Hugging Face user access token (will default to locally saved token if not provided) |
 
 ## Sample Configuration

docs/docs/providers/inference/remote_llama-openai-compat.mdx

@@ -14,10 +14,10 @@ Llama OpenAI-compatible provider for using Llama models with OpenAI API format.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `openai_compat_api_base` | `<class 'str'>` | No | https://api.llama.com/compat/v1/ | The URL for the Llama API server |
+| `openai_compat_api_base` | `str` | No | https://api.llama.com/compat/v1/ | The URL for the Llama API server |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_nvidia.mdx

@@ -14,13 +14,13 @@ NVIDIA inference provider for accessing NVIDIA NIM models and AI services.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `url` | `<class 'str'>` | No | https://integrate.api.nvidia.com | A base url for accessing the NVIDIA NIM |
+| `url` | `str` | No | https://integrate.api.nvidia.com | A base url for accessing the NVIDIA NIM |
-| `timeout` | `<class 'int'>` | No | 60 | Timeout for the HTTP requests |
+| `timeout` | `int` | No | 60 | Timeout for the HTTP requests |
-| `append_api_version` | `<class 'bool'>` | No | True | When set to false, the API version will not be appended to the base_url. By default, it is true. |
+| `append_api_version` | `bool` | No | True | When set to false, the API version will not be appended to the base_url. By default, it is true. |
-| `rerank_model_to_url` | `dict[str, str` | No | `{'nv-rerank-qa-mistral-4b:1': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/reranking', 'nvidia/nv-rerankqa-mistral-4b-v3': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/nv-rerankqa-mistral-4b-v3/reranking', 'nvidia/llama-3.2-nv-rerankqa-1b-v2': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/llama-3_2-nv-rerankqa-1b-v2/reranking'}` | Mapping of rerank model identifiers to their API endpoints.  |
+| `rerank_model_to_url` | `dict[str, str]` | No | `{'nv-rerank-qa-mistral-4b:1': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/reranking', 'nvidia/nv-rerankqa-mistral-4b-v3': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/nv-rerankqa-mistral-4b-v3/reranking', 'nvidia/llama-3.2-nv-rerankqa-1b-v2': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/llama-3_2-nv-rerankqa-1b-v2/reranking'}` | Mapping of rerank model identifiers to their API endpoints.  |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_ollama.mdx

@@ -14,9 +14,9 @@ Ollama inference provider for running local models through the Ollama runtime.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
-| `url` | `<class 'str'>` | No | http://localhost:11434 |  |
+| `url` | `str` | No | http://localhost:11434 |  |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_openai.mdx

@@ -14,10 +14,10 @@ OpenAI inference provider for accessing GPT models and other OpenAI services.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `base_url` | `<class 'str'>` | No | https://api.openai.com/v1 | Base URL for OpenAI API |
+| `base_url` | `str` | No | https://api.openai.com/v1 | Base URL for OpenAI API |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_runpod.mdx

@@ -14,8 +14,8 @@ RunPod inference provider for running models on RunPod's cloud GPU platform.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_token` | `pydantic.types.SecretStr \| None` | No |  | The API token |
 | `url` | `str \| None` | No |  | The URL for the Runpod model serving endpoint |
 

docs/docs/providers/inference/remote_sambanova.mdx

@@ -14,10 +14,10 @@ SambaNova inference provider for running models on SambaNova's dataflow architec
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `url` | `<class 'str'>` | No | https://api.sambanova.ai/v1 | The URL for the SambaNova AI server |
+| `url` | `str` | No | https://api.sambanova.ai/v1 | The URL for the SambaNova AI server |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_tgi.mdx

@@ -14,9 +14,9 @@ Text Generation Inference (TGI) provider for HuggingFace model serving.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
-| `url` | `<class 'str'>` | No |  | The URL for the TGI serving endpoint |
+| `url` | `str` | No |  | The URL for the TGI serving endpoint |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_together.mdx

@@ -14,10 +14,10 @@ Together AI inference provider for open-source models and collaborative AI devel
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `url` | `<class 'str'>` | No | https://api.together.xyz/v1 | The URL for the Together AI server |
+| `url` | `str` | No | https://api.together.xyz/v1 | The URL for the Together AI server |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_vertexai.mdx

@@ -53,10 +53,10 @@ Available Models:
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
-| `project` | `<class 'str'>` | No |  | Google Cloud project ID for Vertex AI |
+| `project` | `str` | No |  | Google Cloud project ID for Vertex AI |
-| `location` | `<class 'str'>` | No | us-central1 | Google Cloud location for Vertex AI |
+| `location` | `str` | No | us-central1 | Google Cloud location for Vertex AI |
 
 ## Sample Configuration
 

docs/docs/providers/inference/remote_vllm.mdx

@@ -14,11 +14,11 @@ Remote vLLM inference provider for connecting to vLLM servers.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_token` | `pydantic.types.SecretStr \| None` | No |  | The API token |
 | `url` | `str \| None` | No |  | The URL for the vLLM model serving endpoint |
-| `max_tokens` | `<class 'int'>` | No | 4096 | Maximum number of tokens to generate. |
+| `max_tokens` | `int` | No | 4096 | Maximum number of tokens to generate. |
 | `tls_verify` | `bool \| str` | No | True | Whether to verify TLS certificates. Can be a boolean or a path to a CA certificate file. |
 
 ## Sample Configuration

docs/docs/providers/inference/remote_watsonx.mdx

@@ -14,12 +14,12 @@ IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | Authentication credential for the provider |
-| `url` | `<class 'str'>` | No | https://us-south.ml.cloud.ibm.com | A base url for accessing the watsonx.ai |
+| `url` | `str` | No | https://us-south.ml.cloud.ibm.com | A base url for accessing the watsonx.ai |
 | `project_id` | `str \| None` | No |  | The watsonx.ai project ID |
-| `timeout` | `<class 'int'>` | No | 60 | Timeout for the HTTP requests |
+| `timeout` | `int` | No | 60 | Timeout for the HTTP requests |
 
 ## Sample Configuration
 

docs/docs/providers/post_training/inline_huggingface-gpu.mdx

@@ -14,23 +14,23 @@ HuggingFace-based post-training provider for fine-tuning models using the Huggin
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `device` | `<class 'str'>` | No | cuda |  |
+| `device` | `str` | No | cuda |  |
-| `distributed_backend` | `Literal['fsdp', 'deepspeed'` | No |  |  |
+| `distributed_backend` | `Literal['fsdp', 'deepspeed' \| None]` | No |  |  |
-| `checkpoint_format` | `Literal['full_state', 'huggingface'` | No | huggingface |  |
+| `checkpoint_format` | `Literal['full_state', 'huggingface' \| None]` | No | huggingface |  |
-| `chat_template` | `<class 'str'>` | No | `&lt;|user|&gt;`<br/>`{input}`<br/>`&lt;|assistant|&gt;`<br/>`{output}` |  |
+| `chat_template` | `str` | No | `&lt;|user|&gt;`<br/>`{input}`<br/>`&lt;|assistant|&gt;`<br/>`{output}` |  |
-| `model_specific_config` | `<class 'dict'>` | No | `{'trust_remote_code': True, 'attn_implementation': 'sdpa'}` |  |
+| `model_specific_config` | `dict` | No | `{'trust_remote_code': True, 'attn_implementation': 'sdpa'}` |  |
-| `max_seq_length` | `<class 'int'>` | No | 2048 |  |
+| `max_seq_length` | `int` | No | 2048 |  |
-| `gradient_checkpointing` | `<class 'bool'>` | No | False |  |
+| `gradient_checkpointing` | `bool` | No | False |  |
-| `save_total_limit` | `<class 'int'>` | No | 3 |  |
+| `save_total_limit` | `int` | No | 3 |  |
-| `logging_steps` | `<class 'int'>` | No | 10 |  |
+| `logging_steps` | `int` | No | 10 |  |
-| `warmup_ratio` | `<class 'float'>` | No | 0.1 |  |
+| `warmup_ratio` | `float` | No | 0.1 |  |
-| `weight_decay` | `<class 'float'>` | No | 0.01 |  |
+| `weight_decay` | `float` | No | 0.01 |  |
-| `dataloader_num_workers` | `<class 'int'>` | No | 4 |  |
+| `dataloader_num_workers` | `int` | No | 4 |  |
-| `dataloader_pin_memory` | `<class 'bool'>` | No | True |  |
+| `dataloader_pin_memory` | `bool` | No | True |  |
-| `dpo_beta` | `<class 'float'>` | No | 0.1 |  |
+| `dpo_beta` | `float` | No | 0.1 |  |
-| `use_reference_model` | `<class 'bool'>` | No | True |  |
+| `use_reference_model` | `bool` | No | True |  |
-| `dpo_loss_type` | `Literal['sigmoid', 'hinge', 'ipo', 'kto_pair'` | No | sigmoid |  |
+| `dpo_loss_type` | `Literal['sigmoid', 'hinge', 'ipo', 'kto_pair']` | No | sigmoid |  |
-| `dpo_output_dir` | `<class 'str'>` | No |  |  |
+| `dpo_output_dir` | `str` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/post_training/inline_torchtune-cpu.mdx

@@ -15,7 +15,7 @@ TorchTune-based post-training provider for fine-tuning and optimizing models usi
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `torch_seed` | `int \| None` | No |  |  |
-| `checkpoint_format` | `Literal['meta', 'huggingface'` | No | meta |  |
+| `checkpoint_format` | `Literal['meta', 'huggingface' \| None]` | No | meta |  |
 
 ## Sample Configuration
 

docs/docs/providers/post_training/inline_torchtune-gpu.mdx

@@ -15,7 +15,7 @@ TorchTune-based post-training provider for fine-tuning and optimizing models usi
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `torch_seed` | `int \| None` | No |  |  |
-| `checkpoint_format` | `Literal['meta', 'huggingface'` | No | meta |  |
+| `checkpoint_format` | `Literal['meta', 'huggingface' \| None]` | No | meta |  |
 
 ## Sample Configuration
 

docs/docs/providers/post_training/remote_nvidia.mdx

@@ -18,9 +18,9 @@ NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform.
 | `dataset_namespace` | `str \| None` | No | default | The NVIDIA dataset namespace. |
 | `project_id` | `str \| None` | No | test-example-model@v1 | The NVIDIA project ID. |
 | `customizer_url` | `str \| None` | No |  | Base URL for the NeMo Customizer API |
-| `timeout` | `<class 'int'>` | No | 300 | Timeout for the NVIDIA Post Training API |
+| `timeout` | `int` | No | 300 | Timeout for the NVIDIA Post Training API |
-| `max_retries` | `<class 'int'>` | No | 3 | Maximum number of retries for the NVIDIA Post Training API |
+| `max_retries` | `int` | No | 3 | Maximum number of retries for the NVIDIA Post Training API |
-| `output_model_dir` | `<class 'str'>` | No | test-example-model@v1 | Directory to save the output model |
+| `output_model_dir` | `str` | No | test-example-model@v1 | Directory to save the output model |
 
 ## Sample Configuration
 

docs/docs/providers/safety/index.mdx

@@ -1,7 +1,8 @@
 ---
-description: "Safety
+description: |
+  Safety
 
-    OpenAI-compatible Moderations API."
+  OpenAI-compatible Moderations API.
 sidebar_label: Safety
 title: Safety
 ---
@@ -12,6 +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/inline_llama-guard.mdx

@@ -14,7 +14,7 @@ Llama Guard safety provider for content moderation and safety filtering using Me
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `excluded_categories` | `list[str` | No | [] |  |
+| `excluded_categories` | `list[str]` | No | [] |  |
 
 ## Sample Configuration
 

docs/docs/providers/safety/inline_prompt-guard.mdx

@@ -14,7 +14,7 @@ Prompt Guard safety provider for detecting and filtering unsafe prompts and cont
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `guard_type` | `<class 'str'>` | No | injection |  |
+| `guard_type` | `str` | No | injection |  |
 
 ## Sample Configuration
 

docs/docs/providers/safety/remote_bedrock.mdx

@@ -14,13 +14,13 @@ AWS Bedrock safety provider for content moderation using AWS's safety services.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `allowed_models` | `list[str \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
+| `allowed_models` | `list[str] \| None` | No |  | List of models that should be registered with the model registry. If None, all models are allowed. |
-| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
+| `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider |
 | `aws_access_key_id` | `str \| None` | No |  | The AWS access key to use. Default use environment variable: AWS_ACCESS_KEY_ID |
 | `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 | tpetkos | 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. |

docs/docs/providers/safety/remote_nvidia.mdx

@@ -14,7 +14,7 @@ NVIDIA's safety provider for content moderation and safety filtering.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `guardrails_service_url` | `<class 'str'>` | No | http://0.0.0.0:7331 | The url for accessing the Guardrails service |
+| `guardrails_service_url` | `str` | No | http://0.0.0.0:7331 | The url for accessing the Guardrails service |
 | `config_id` | `str \| None` | No | self-check | Guardrails configuration ID to use from the Guardrails configuration store |
 
 ## Sample Configuration

docs/docs/providers/safety/remote_sambanova.mdx

@@ -14,7 +14,7 @@ SambaNova's safety provider for content moderation and safety filtering.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `url` | `<class 'str'>` | No | https://api.sambanova.ai/v1 | The URL for the SambaNova AI server |
+| `url` | `str` | No | https://api.sambanova.ai/v1 | The URL for the SambaNova AI server |
 | `api_key` | `pydantic.types.SecretStr \| None` | No |  | The SambaNova cloud API Key |
 
 ## Sample Configuration

docs/docs/providers/tool_runtime/remote_bing-search.mdx

@@ -15,7 +15,7 @@ Bing Search tool for web search capabilities using Microsoft's search engine.
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `api_key` | `str \| None` | No |  |  |
-| `top_k` | `<class 'int'>` | No | 3 |  |
+| `top_k` | `int` | No | 3 |  |
 
 ## Sample Configuration
 

docs/docs/providers/tool_runtime/remote_brave-search.mdx

@@ -15,7 +15,7 @@ Brave Search tool for web search capabilities with privacy-focused results.
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `api_key` | `str \| None` | No |  | The Brave Search API Key |
-| `max_results` | `<class 'int'>` | No | 3 | The maximum number of results to return |
+| `max_results` | `int` | No | 3 | The maximum number of results to return |
 
 ## Sample Configuration
 

docs/docs/providers/tool_runtime/remote_tavily-search.mdx

@@ -15,7 +15,7 @@ Tavily Search tool for AI-optimized web search with structured results.
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `api_key` | `str \| None` | No |  | The Tavily Search API Key |
-| `max_results` | `<class 'int'>` | No | 3 | The maximum number of results to return |
+| `max_results` | `int` | No | 3 | The maximum number of results to return |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_chromadb.mdx

@@ -78,8 +78,8 @@ See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introducti
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `db_path` | `<class 'str'>` | No |  |  |
+| `db_path` | `str` | No |  |  |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Config for KV store backend |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Config for KV store backend |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_faiss.mdx

@@ -95,7 +95,7 @@ more details about Faiss in general.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_meta-reference.mdx

@@ -14,7 +14,7 @@ Meta's reference implementation of a vector database.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_milvus.mdx

@@ -16,9 +16,9 @@ Please refer to the remote provider documentation.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `db_path` | `<class 'str'>` | No |  |  |
+| `db_path` | `str` | No |  |  |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Config for KV store backend (SQLite only for now) |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Config for KV store backend (SQLite only for now) |
-| `consistency_level` | `<class 'str'>` | No | Strong | The consistency level of the Milvus server |
+| `consistency_level` | `str` | No | Strong | The consistency level of the Milvus server |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_qdrant.mdx

@@ -97,8 +97,8 @@ See the [Qdrant documentation](https://qdrant.tech/documentation/) for more deta
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `path` | `<class 'str'>` | No |  |  |
+| `path` | `str` | No |  |  |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_sqlite-vec.mdx

@@ -407,8 +407,8 @@ See [sqlite-vec's GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) f
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `db_path` | `<class 'str'>` | No |  | Path to the SQLite database file |
+| `db_path` | `str` | No |  | Path to the SQLite database file |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Config for KV store backend (SQLite only for now) |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Config for KV store backend (SQLite only for now) |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/inline_sqlite_vec.mdx

@@ -16,8 +16,8 @@ Please refer to the sqlite-vec provider documentation.
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `db_path` | `<class 'str'>` | No |  | Path to the SQLite database file |
+| `db_path` | `str` | No |  | Path to the SQLite database file |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Config for KV store backend (SQLite only for now) |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Config for KV store backend (SQLite only for now) |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/remote_chromadb.mdx

@@ -78,7 +78,7 @@ See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introducti
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `url` | `str \| None` | No |  |  |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Config for KV store backend |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Config for KV store backend |
 
 ## Sample Configuration
 

docs/docs/providers/vector_io/remote_milvus.mdx

@@ -405,10 +405,10 @@ For more details on TLS configuration, refer to the [TLS setup guide](https://mi
 
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
-| `uri` | `<class 'str'>` | No |  | The URI of the Milvus server |
+| `uri` | `str` | No |  | The URI of the Milvus server |
 | `token` | `str \| None` | No |  | The token of the Milvus server |
-| `consistency_level` | `<class 'str'>` | No | Strong | The consistency level of the Milvus server |
+| `consistency_level` | `str` | No | Strong | The consistency level of the Milvus server |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  | Config for KV store backend |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  | Config for KV store backend |
 | `config` | `dict` | No | `{}` | This configuration allows additional fields to be passed through to the underlying Milvus client. See the [Milvus](https://milvus.io/docs/install-overview.md) documentation for more details about Milvus in general. |
 
 :::note

docs/docs/providers/vector_io/remote_qdrant.mdx

@@ -19,14 +19,14 @@ Please refer to the inline provider documentation.
 | `location` | `str \| None` | No |  |  |
 | `url` | `str \| None` | No |  |  |
 | `port` | `int \| None` | No | 6333 |  |
-| `grpc_port` | `<class 'int'>` | No | 6334 |  |
+| `grpc_port` | `int` | No | 6334 |  |
-| `prefer_grpc` | `<class 'bool'>` | No | False |  |
+| `prefer_grpc` | `bool` | No | False |  |
 | `https` | `bool \| None` | No |  |  |
 | `api_key` | `str \| None` | No |  |  |
 | `prefix` | `str \| None` | No |  |  |
 | `timeout` | `int \| None` | No |  |  |
 | `host` | `str \| None` | No |  |  |
-| `persistence` | `<class 'llama_stack.core.storage.datatypes.KVStoreReference'>` | No |  |  |
+| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference` | No |  |  |
 
 ## Sample Configuration