Replacing RAG tool name with constant

src/app/endpoints/query.py

@@ -8,7 +8,6 @@
 from typing import Annotated, Any, Optional, cast
 
 from fastapi import APIRouter, Depends, HTTPException, Request, status
-from pydantic import AnyUrl
 from llama_stack_client import (
     APIConnectionError,
     AsyncLlamaStackClient,  # type: ignore
@@ -23,6 +22,7 @@
 from llama_stack_client.types.model_list_response import ModelListResponse
 from llama_stack_client.types.shared.interleaved_content_item import TextContentItem
 from llama_stack_client.types.tool_execution_step import ToolExecutionStep
+from pydantic import AnyUrl
 
 import constants
 import metrics
@@ -513,8 +513,7 @@ def parse_referenced_documents(response: Turn) -> list[ReferencedDocument]:
         if not isinstance(step, ToolExecutionStep):
             continue
         for tool_response in step.tool_responses:
-            # TODO(are-ces): use constant instead
-            if tool_response.tool_name != "knowledge_search":
+            if tool_response.tool_name != constants.DEFAULT_RAG_TOOL:
                 continue
             for text_item in tool_response.content:
                 if not isinstance(text_item, TextContentItem):

src/app/endpoints/streaming_query.py

@@ -2,52 +2,56 @@
 
 import ast
 import json
-import re
 import logging
+import re
 from typing import Annotated, Any, AsyncIterator, Iterator, cast
 
-from llama_stack_client import APIConnectionError
-from llama_stack_client import AsyncLlamaStackClient  # type: ignore
-from llama_stack_client.types import UserMessage  # type: ignore
-
+from fastapi import APIRouter, Depends, HTTPException, Request, status
+from fastapi.responses import StreamingResponse
+from llama_stack_client import (
+    APIConnectionError,
+    AsyncLlamaStackClient,  # type: ignore
+)
 from llama_stack_client.lib.agents.event_logger import interleaved_content_as_str
+from llama_stack_client.types import UserMessage  # type: ignore
 from llama_stack_client.types.agents.agent_turn_response_stream_chunk import (
     AgentTurnResponseStreamChunk,
 )
 from llama_stack_client.types.shared import ToolCall
 from llama_stack_client.types.shared.interleaved_content_item import TextContentItem
 
-from fastapi import APIRouter, HTTPException, Request, Depends, status
-from fastapi.responses import StreamingResponse
-
-from authentication import get_auth_dependency
-from authentication.interface import AuthTuple
-from authorization.middleware import authorize
-from client import AsyncLlamaStackClientHolder
-from configuration import configuration
 import metrics
-from metrics.utils import update_llm_token_count_from_turn
-from models.config import Action
-from models.requests import QueryRequest
-from models.responses import UnauthorizedResponse, ForbiddenResponse
-from models.database.conversations import UserConversation
-from utils.endpoints import check_configuration_loaded, get_agent, get_system_prompt
-from utils.mcp_headers import mcp_headers_dependency, handle_mcp_headers_with_toolgroups
-from utils.transcripts import store_transcript
-from utils.types import TurnSummary
-from utils.endpoints import validate_model_provider_override
-
 from app.endpoints.query import (
+    evaluate_model_hints,
     get_rag_toolgroups,
     is_input_shield,
     is_output_shield,
     is_transcripts_enabled,
+    persist_user_conversation_details,
     select_model_and_provider_id,
     validate_attachments_metadata,
     validate_conversation_ownership,
-    persist_user_conversation_details,
-    evaluate_model_hints,
 )
+from authentication import get_auth_dependency
+from authentication.interface import AuthTuple
+from authorization.middleware import authorize
+from client import AsyncLlamaStackClientHolder
+from configuration import configuration
+from constants import DEFAULT_RAG_TOOL
+from metrics.utils import update_llm_token_count_from_turn
+from models.config import Action
+from models.database.conversations import UserConversation
+from models.requests import QueryRequest
+from models.responses import ForbiddenResponse, UnauthorizedResponse
+from utils.endpoints import (
+    check_configuration_loaded,
+    get_agent,
+    get_system_prompt,
+    validate_model_provider_override,
+)
+from utils.mcp_headers import handle_mcp_headers_with_toolgroups, mcp_headers_dependency
+from utils.transcripts import store_transcript
+from utils.types import TurnSummary
 
 logger = logging.getLogger("app.endpoints.handlers")
 router = APIRouter(tags=["streaming_query"])
@@ -482,7 +486,7 @@ def _handle_tool_execution_event(
                     }
                 )
 
-            elif r.tool_name == "knowledge_search" and r.content:
+            elif r.tool_name == DEFAULT_RAG_TOOL and r.content:
                 summary = ""
                 for i, text_content_item in enumerate(r.content):
                     if isinstance(text_content_item, TextContentItem):