feat: Pass parallel_tool_calls correctly

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.

src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py

@@ -244,6 +244,7 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]:
                     messages=messages,
                     # Pydantic models are dict-compatible but mypy treats them as distinct types
                     tools=self.ctx.chat_tools,  # type: ignore[arg-type]
+                    parallel_tool_calls=self.parallel_tool_calls,
                     stream=True,
                     temperature=self.ctx.temperature,
                     response_format=response_format,