LCORE-1350: Refactored utilities for more generic use

src/app/endpoints/a2a.py

@@ -46,7 +46,7 @@
 from models.requests import QueryRequest
 from utils.mcp_headers import mcp_headers_dependency, McpHeaders
 from utils.responses import (
-    extract_text_from_response_output_item,
+    extract_text_from_output_item,
     prepare_responses_params,
 )
 from utils.suid import normalize_conversation_id
@@ -107,7 +107,7 @@ def _convert_responses_content_to_a2a_parts(output: list[Any]) -> list[Part]:
     parts: list[Part] = []
 
     for output_item in output:
-        text = extract_text_from_response_output_item(output_item)
+        text = extract_text_from_output_item(output_item)
         if text:
             parts.append(Part(root=TextPart(text=text)))
 

src/app/endpoints/query.py

@@ -3,7 +3,7 @@
 """Handler for REST API call to provide answer to query using Response API."""
 
 import datetime
-from typing import Annotated, Any, Optional, cast
+from typing import Annotated, Any, cast
 
 from fastapi import APIRouter, Depends, HTTPException, Request
 from llama_stack_api.openai_responses import OpenAIResponseObject
@@ -52,12 +52,10 @@
 )
 from utils.quota import check_tokens_available, get_available_quotas
 from utils.responses import (
-    build_tool_call_summary,
-    extract_text_from_response_output_item,
-    extract_token_usage,
+    build_turn_summary,
+    deduplicate_referenced_documents,
     extract_vector_store_ids_from_tools,
     get_topic_summary,
-    parse_referenced_documents,
     prepare_responses_params,
 )
 from utils.shields import (
@@ -66,6 +64,7 @@
 )
 from utils.suid import normalize_conversation_id
 from utils.types import (
+    RAGChunk,
     ResponsesApiParams,
     TurnSummary,
 )
@@ -130,7 +129,9 @@ async def query_endpoint_handler(
     check_tokens_available(configuration.quota_limiters, user_id)
 
     # Enforce RBAC: optionally disallow overriding model/provider in requests
-    validate_model_provider_override(query_request, request.state.authorized_actions)
+    validate_model_provider_override(
+        query_request.model, query_request.provider, request.state.authorized_actions
+    )
 
     # Validate attachments if provided
     if query_request.attachments:
@@ -153,7 +154,7 @@ async def query_endpoint_handler(
     client = AsyncLlamaStackClientHolder().get_client()
 
     doc_ids_from_chunks: list[ReferencedDocument] = []
-    pre_rag_chunks: list[Any] = []  # use your RAGChunk type (or the upstream one)
+    pre_rag_chunks: list[RAGChunk] = []
 
     _, _, doc_ids_from_chunks, pre_rag_chunks = await perform_vector_search(
         client, query_request, configuration
@@ -198,7 +199,7 @@ async def query_endpoint_handler(
         turn_summary.rag_chunks = pre_rag_chunks + (turn_summary.rag_chunks or [])
 
     if doc_ids_from_chunks:
-        turn_summary.referenced_documents = parse_referenced_docs(
+        turn_summary.referenced_documents = deduplicate_referenced_documents(
             doc_ids_from_chunks + (turn_summary.referenced_documents or [])
         )
 
@@ -216,7 +217,6 @@ async def query_endpoint_handler(
         user_id=user_id,
         model_id=responses_params.model,
         token_usage=turn_summary.token_usage,
-        configuration=configuration,
     )
 
     logger.info("Getting available quotas")
@@ -238,7 +238,6 @@ async def query_endpoint_handler(
         completed_at=completed_at,
         summary=turn_summary,
         query_request=query_request,
-        configuration=configuration,
         skip_userid_check=_skip_userid_check,
         topic_summary=topic_summary,
     )
@@ -258,26 +257,11 @@ async def query_endpoint_handler(
     )
 
 
-def parse_referenced_docs(
-    docs: list[ReferencedDocument],
-) -> list[ReferencedDocument]:
-    """Remove duplicate referenced documents based on URL and title."""
-    seen: set[tuple[str | None, str | None]] = set()
-    out: list[ReferencedDocument] = []
-    for d in docs:
-        key = (str(d.doc_url) if d.doc_url else None, d.doc_title)
-        if key in seen:
-            continue
-        seen.add(key)
-        out.append(d)
-    return out
-
-
 async def retrieve_response(  # pylint: disable=too-many-locals
     client: AsyncLlamaStackClient,
     responses_params: ResponsesApiParams,
-    vector_store_ids: Optional[list[str]] = None,
-    rag_id_mapping: Optional[dict[str, str]] = None,
+    vector_store_ids: list[str] | None = None,
+    rag_id_mapping: dict[str, str] | None = None,
 ) -> TurnSummary:
     """
     Retrieve response from LLMs and agents.
@@ -294,8 +278,6 @@ async def retrieve_response(  # pylint: disable=too-many-locals
     Returns:
         TurnSummary: Summary of the LLM response content
     """
-    summary = TurnSummary()
-
     try:
         moderation_result = await run_shield_moderation(client, responses_params.input)
         if moderation_result.blocked:
@@ -307,8 +289,7 @@ async def retrieve_response(  # pylint: disable=too-many-locals
                 responses_params.input,
                 violation_message,
             )
-            summary.llm_response = violation_message
-            return summary
+            return TurnSummary(llm_response=violation_message)
         response = await client.responses.create(**responses_params.model_dump())
         response = cast(OpenAIResponseObject, response)
 
@@ -327,30 +308,6 @@ async def retrieve_response(  # pylint: disable=too-many-locals
         error_response = handle_known_apistatus_errors(e, responses_params.model)
         raise HTTPException(**error_response.model_dump()) from e
 
-    # Process OpenAI response format
-    for output_item in response.output:
-        message_text = extract_text_from_response_output_item(output_item)
-        if message_text:
-            summary.llm_response += message_text
-
-        tool_call, tool_result = build_tool_call_summary(
-            output_item, summary.rag_chunks, vector_store_ids, rag_id_mapping
-        )
-        if tool_call:
-            summary.tool_calls.append(tool_call)
-        if tool_result:
-            summary.tool_results.append(tool_result)
-
-    logger.info(
-        "Response processing complete - Tool calls: %d, Response length: %d chars",
-        len(summary.tool_calls),
-        len(summary.llm_response),
-    )
-
-    # Extract referenced documents and token usage from Responses API response
-    summary.referenced_documents = parse_referenced_documents(
-        response, vector_store_ids, rag_id_mapping
+    return build_turn_summary(
+        response, responses_params.model, vector_store_ids, rag_id_mapping
     )
-    summary.token_usage = extract_token_usage(response, responses_params.model)
-
-    return summary

src/app/endpoints/rlsapi_v1.py

@@ -34,7 +34,10 @@
 from models.rlsapi.responses import RlsapiV1InferData, RlsapiV1InferResponse
 from observability import InferenceEventData, build_inference_event, send_splunk_event
 from utils.query import handle_known_apistatus_errors
-from utils.responses import extract_text_from_response_output_item, get_mcp_tools
+from utils.responses import (
+    extract_text_from_output_items,
+    get_mcp_tools,
+)
 from utils.suid import get_suid
 from log import get_logger
 
@@ -189,10 +192,7 @@ async def retrieve_simple_response(
     )
     response = cast(OpenAIResponseObject, response)
 
-    return "".join(
-        extract_text_from_response_output_item(output_item)
-        for output_item in response.output
-    )
+    return extract_text_from_output_items(response.output)
 
 
 def _get_cla_version(request: Request) -> str:
@@ -307,7 +307,7 @@ async def infer_endpoint(
     input_source = infer_request.get_input_source()
     instructions = _build_instructions(infer_request.context.systeminfo)
     model_id = _get_default_model_id()
-    mcp_tools = await get_mcp_tools(configuration.mcp_servers)
+    mcp_tools = await get_mcp_tools()
     logger.debug(
         "Request %s: Combined input source length: %d", request_id, len(input_source)
     )

src/app/endpoints/streaming_query.py

@@ -153,7 +153,9 @@ async def streaming_query_endpoint_handler(  # pylint: disable=too-many-locals
     check_tokens_available(configuration.quota_limiters, user_id)
 
     # Enforce RBAC: optionally disallow overriding model/provider in requests
-    validate_model_provider_override(query_request, request.state.authorized_actions)
+    validate_model_provider_override(
+        query_request.model, query_request.provider, request.state.authorized_actions
+    )
 
     # Validate attachments if provided
     if query_request.attachments:
@@ -379,7 +381,6 @@ async def generate_response(
         user_id=context.user_id,
         model_id=responses_params.model,
         token_usage=turn_summary.token_usage,
-        configuration=configuration,
     )
     # Get available quotas
     logger.info("Getting available quotas")
@@ -405,7 +406,6 @@ async def generate_response(
         started_at=context.started_at,
         summary=turn_summary,
         query_request=context.query_request,
-        configuration=configuration,
         skip_userid_check=context.skip_userid_check,
         topic_summary=topic_summary,
     )
@@ -591,8 +591,11 @@ async def response_generator(  # pylint: disable=too-many-branches,too-many-stat
     )
 
     # Extract token usage and referenced documents from the final response object
+    if not latest_response_object:
+        return
+
     turn_summary.token_usage = extract_token_usage(
-        latest_response_object, context.model_id
+        latest_response_object.usage, context.model_id
     )
     tool_based_documents = parse_referenced_documents(
         latest_response_object,

src/models/responses.py

@@ -1753,16 +1753,20 @@ class NotFoundResponse(AbstractErrorResponse):
         }
     }
 
-    def __init__(self, *, resource: str, resource_id: str):
+    def __init__(self, *, resource: str, resource_id: str | None = None):
         """
         Create a NotFoundResponse for a missing resource and set the HTTP status to 404.
 
         Parameters:
             resource (str): Resource type that was not found (e.g., "conversation", "model").
-            resource_id (str): Identifier of the missing resource.
+            resource_id (str | None): Identifier of the missing resource. If None, indicates
+                the resource type is not configured (e.g., no model selected).
         """
         response = f"{resource.title()} not found"
-        cause = f"{resource.title()} with ID {resource_id} does not exist"
+        if resource_id is None:
+            cause = f"No {resource.title()} is configured"
+        else:
+            cause = f"{resource.title()} with ID {resource_id} does not exist"
         super().__init__(
             response=response, cause=cause, status_code=status.HTTP_404_NOT_FOUND
         )

src/utils/prompts.py

@@ -3,41 +3,40 @@
 from fastapi import HTTPException
 
 import constants
-from configuration import AppConfig
-from models.requests import QueryRequest
+from configuration import configuration
 from models.responses import UnprocessableEntityResponse
 
 
-def get_system_prompt(query_request: QueryRequest, config: AppConfig) -> str:
+def get_system_prompt(system_prompt: str | None) -> str:
     """
     Resolve which system prompt to use for a query.
 
-    Precedence (highest to lowest):
-    1. Per-request `system_prompt` from `query_request.system_prompt`.
-    2. The `custom_profile`'s "default" prompt (when present), accessed via
-       `config.customization.custom_profile.get_prompts().get("default")`.
-    3. `config.customization.system_prompt` from application configuration.
+    get_system_prompt resolves the system prompt with the following precedence
+    (highest to lowest):
+    1. Per-request system prompt from the `system_prompt` argument (when allowed).
+    2. The custom profile's "default" prompt (when present), from application
+       configuration.
+    3. The application configuration system prompt.
     4. The module default `constants.DEFAULT_SYSTEM_PROMPT` (lowest precedence).
 
-    If configuration disables per-request system prompts
-    (config.customization.disable_query_system_prompt) and the incoming
-    `query_request` contains a `system_prompt`, an HTTP 422 Unprocessable
-    Entity is raised instructing the client to remove the field.
-
     Parameters:
-        query_request (QueryRequest): The incoming query payload; may contain a
-        per-request `system_prompt`.
-        config (AppConfig): Application configuration which may include
-        customization flags, a custom profile, and a default `system_prompt`.
+        system_prompt: Optional per-request system prompt from the query; may be
+            None.
 
     Returns:
-        str: The resolved system prompt to apply to the request.
+        The resolved system prompt string to apply to the request.
+
+    Raises:
+        HTTPException: 422 Unprocessable Entity when per-request system prompts
+            are disabled (disable_query_system_prompt) and a non-None
+            `system_prompt` is provided; the response instructs the client to
+            remove the system_prompt field from the request.
     """
     system_prompt_disabled = (
-        config.customization is not None
-        and config.customization.disable_query_system_prompt
+        configuration.customization is not None
+        and configuration.customization.disable_query_system_prompt
     )
-    if system_prompt_disabled and query_request.system_prompt:
+    if system_prompt_disabled and system_prompt:
         response = UnprocessableEntityResponse(
             response="System prompt customization is disabled",
             cause=(
@@ -48,49 +47,47 @@ def get_system_prompt(query_request: QueryRequest, config: AppConfig) -> str:
         )
         raise HTTPException(**response.model_dump())
 
-    if query_request.system_prompt:
+    if system_prompt:
         # Query taking precedence over configuration is the only behavior that
         # makes sense here - if the configuration wants precedence, it can
         # disable query system prompt altogether with disable_query_system_prompt.
-        return query_request.system_prompt
+        return system_prompt
 
     # profile takes precedence for setting prompt
     if (
-        config.customization is not None
-        and config.customization.custom_profile is not None
+        configuration.customization is not None
+        and configuration.customization.custom_profile is not None
     ):
-        prompt = config.customization.custom_profile.get_prompts().get("default")
+        prompt = configuration.customization.custom_profile.get_prompts().get("default")
         if prompt:
             return prompt
 
     if (
-        config.customization is not None
-        and config.customization.system_prompt is not None
+        configuration.customization is not None
+        and configuration.customization.system_prompt is not None
     ):
-        return config.customization.system_prompt
+        return configuration.customization.system_prompt
 
     # default system prompt has the lowest precedence
     return constants.DEFAULT_SYSTEM_PROMPT
 
 
-def get_topic_summary_system_prompt(config: AppConfig) -> str:
+def get_topic_summary_system_prompt() -> str:
     """
     Get the topic summary system prompt.
 
-    Parameters:
-        config (AppConfig): Application configuration from which to read
-                            customization/profile settings.
-
     Returns:
         str: The topic summary system prompt from the active custom profile if
              set, otherwise the default prompt.
     """
     # profile takes precedence for setting prompt
     if (
-        config.customization is not None
-        and config.customization.custom_profile is not None
+        configuration.customization is not None
+        and configuration.customization.custom_profile is not None
     ):
-        prompt = config.customization.custom_profile.get_prompts().get("topic_summary")
+        prompt = configuration.customization.custom_profile.get_prompts().get(
+            "topic_summary"
+        )
         if prompt:
             return prompt