Responses v2 shields

src/app/endpoints/query_v2.py

@@ -34,6 +34,7 @@
     get_topic_summary_system_prompt,
 )
 from utils.mcp_headers import mcp_headers_dependency
+from utils.shields import detect_shield_violations, get_available_shields
 from utils.token_counter import TokenCounter
 from utils.types import TurnSummary, ToolCallSummary
 
@@ -322,7 +323,7 @@ async def retrieve_response(  # pylint: disable=too-many-locals,too-many-branche
     given query, handling shield configuration, tool usage, and
     attachment validation.
 
-    This function configures system prompts and toolgroups
+    This function configures system prompts, shields, and toolgroups
     (including RAG and MCP integration) as needed based on
     the query request and system configuration. It
     validates attachments, manages conversation and session
@@ -342,8 +343,8 @@ async def retrieve_response(  # pylint: disable=too-many-locals,too-many-branche
         and the conversation ID, the list of parsed referenced documents,
         and token usage information.
     """
-    # TODO(ltomasbo): implement shields support once available in Responses API
-    logger.info("Shields are not yet supported in Responses API. Disabling safety")
+    # List available shields for Responses API
+    available_shields = await get_available_shields(client)
 
     # use system prompt from request or default one
     system_prompt = get_system_prompt(query_request, configuration)
@@ -381,6 +382,10 @@ async def retrieve_response(  # pylint: disable=too-many-locals,too-many-branche
     if query_request.conversation_id:
         create_kwargs["previous_response_id"] = query_request.conversation_id
 
+    # Add shields to extra_body if available
+    if available_shields:
+        create_kwargs["extra_body"] = {"guardrails": available_shields}
+
     response = await client.responses.create(**create_kwargs)
     response = cast(OpenAIResponseObject, response)
 
@@ -406,6 +411,9 @@ async def retrieve_response(  # pylint: disable=too-many-locals,too-many-branche
         if tool_summary:
             tool_calls.append(tool_summary)
 
+    # Check for shield violations across all output items
+    detect_shield_violations(response.output)
+
     logger.info(
         "Response processing complete - Tool calls: %d, Response length: %d chars",
         len(tool_calls),

src/app/endpoints/streaming_query_v2.py

@@ -41,6 +41,7 @@
     get_system_prompt,
 )
 from utils.mcp_headers import mcp_headers_dependency
+from utils.shields import detect_shield_violations, get_available_shields
 from utils.token_counter import TokenCounter
 from utils.transcripts import store_transcript
 from utils.types import TurnSummary, ToolCallSummary
@@ -243,6 +244,13 @@ async def response_generator(  # pylint: disable=too-many-branches,too-many-stat
             elif event_type == "response.completed":
                 # Capture the response object for token usage extraction
                 latest_response_object = getattr(chunk, "response", None)
+
+                # Check for shield violations in the completed response
+                if latest_response_object:
+                    detect_shield_violations(
+                        getattr(latest_response_object, "output", [])
+                    )
+
                 if not emitted_turn_complete:
                     final_message = summary.llm_response or "".join(text_parts)
                     if not final_message:
@@ -348,11 +356,11 @@ async def retrieve_response(
     Asynchronously retrieves a streaming response and conversation
     ID from the Llama Stack agent for a given user query.
 
-    This function configures input/output shields, system prompt,
-    and tool usage based on the request and environment. It
-    prepares the agent with appropriate headers and toolgroups,
-    validates attachments if present, and initiates a streaming
-    turn with the user's query and any provided documents.
+    This function configures shields, system prompt, and tool usage
+    based on the request and environment. It prepares the agent with
+    appropriate headers and toolgroups, validates attachments if
+    present, and initiates a streaming turn with the user's query
+    and any provided documents.
 
     Parameters:
         model_id (str): Identifier of the model to use for the query.
@@ -365,7 +373,8 @@ async def retrieve_response(
         tuple: A tuple containing the streaming response object
         and the conversation ID.
     """
-    logger.info("Shields are not yet supported in Responses API.")
+    # List available shields for Responses API
+    available_shields = await get_available_shields(client)
 
     # use system prompt from request or default one
     system_prompt = get_system_prompt(query_request, configuration)
@@ -402,6 +411,10 @@ async def retrieve_response(
     if query_request.conversation_id:
         create_params["previous_response_id"] = query_request.conversation_id
 
+    # Add shields to extra_body if available
+    if available_shields:
+        create_params["extra_body"] = {"guardrails": available_shields}
+
     response = await client.responses.create(**create_params)
     response_stream = cast(AsyncIterator[OpenAIResponseObjectStream], response)
 

src/utils/shields.py

@@ -0,0 +1,54 @@
+"""Utility functions for working with Llama Stack shields."""
+
+import logging
+from typing import Any
+
+from llama_stack_client import AsyncLlamaStackClient
+
+import metrics
+
+logger = logging.getLogger(__name__)
+
+
+async def get_available_shields(client: AsyncLlamaStackClient) -> list[str]:
+    """
+    Discover and return available shield identifiers.
+
+    Args:
+        client: The Llama Stack client to query for available shields.
+
+    Returns:
+        List of shield identifiers that are available.
+    """
+    available_shields = [shield.identifier for shield in await client.shields.list()]
+    if not available_shields:
+        logger.info("No available shields. Disabling safety")
+    else:
+        logger.info("Available shields: %s", available_shields)
+    return available_shields
+
+
+def detect_shield_violations(output_items: list[Any]) -> bool:
+    """
+    Check output items for shield violations and update metrics.
+
+    Iterates through output items looking for message items with refusal
+    attributes. If a refusal is found, increments the validation error
+    metric and logs a warning.
+
+    Args:
+        output_items: List of output items from the LLM response to check.
+
+    Returns:
+        True if a shield violation was detected, False otherwise.
+    """
+    for output_item in output_items:
+        item_type = getattr(output_item, "type", None)
+        if item_type == "message":
+            refusal = getattr(output_item, "refusal", None)
+            if refusal:
+                # Metric for LLM validation errors (shield violations)
+                metrics.llm_calls_validation_errors_total.inc()
+                logger.warning("Shield violation detected: %s", refusal)
+                return True
+    return False