logs

backend/danswer/chat/process_message.py

@@ -946,4 +946,5 @@ def stream_chat_message(
             is_connected=is_connected,
         )
         for obj in objects:
+            print(obj)
             yield get_json_line(obj.model_dump())

backend/danswer/llm/answering/answer.py

@@ -272,9 +272,9 @@ class Answer:
                             stop_reason=StreamStopReason.CONTEXT_LENGTH
                         )
 
-                if not tool_call_chunk:
-                    logger.info("Skipped tool call but generated message")
-                    return
+            if not tool_call_chunk:
+                logger.info("Skipped tool call but generated message")
+                return
 
             tool_call_requests = tool_call_chunk.tool_calls
 
@@ -328,7 +328,6 @@ class Answer:
                     self._update_prompt_builder_for_search_tool(prompt_builder, [])
 
                 elif tool.name == ImageGenerationTool._NAME:
-                    print("\n----\nUpdating image prompt user message\n----\n")
                     img_urls = [
                         img_generation_result["url"]
                         for img_generation_result in tool_runner.tool_final_result().tool_result
@@ -339,8 +338,6 @@ class Answer:
                         )
                     )
 
-                print("now stremign wie fianl results")
-
                 yield tool_runner.tool_final_result()
 
                 # Update message history with tool call and response
@@ -379,17 +376,11 @@ class Answer:
                     )
                 )
 
-                print("\n----\nBuilding final prompt with Tool call summary\n----\n")
-
                 # Generate response based on updated message history
                 prompt = prompt_builder.build(tool_call_summary=tool_call_summary)
 
                 response_content = ""
-                for content in self._process_llm_stream(
-                    prompt=prompt,
-                    tools=None
-                    # tools=[tool.tool_definition() for tool in self.tools],
-                ):
+                for content in self._process_llm_stream(prompt=prompt, tools=None):
                     if isinstance(content, str):
                         response_content += content
                     yield content
@@ -765,5 +756,4 @@ class Answer:
             if not self.is_connected():
                 logger.debug("Answer stream has been cancelled")
             self._is_cancelled = not self.is_connected()
-
         return self._is_cancelled

backend/danswer/tools/tool_runner.py

@@ -12,7 +12,7 @@ from danswer.utils.threadpool_concurrency import run_functions_tuples_in_paralle
 
 
 class ToolRunner:
-    def __init__(self, tool: Tool, args: dict[str, Any], llm: LLM):
+    def __init__(self, tool: Tool, args: dict[str, Any], llm: LLM | None = None):
         self.tool = tool
         self.args = args
         self._llm = llm
@@ -49,12 +49,9 @@ class ToolRunner:
 def check_which_tools_should_run_for_non_tool_calling_llm(
     tools: list[Tool], query: str, history: list[PreviousMessage], llm: LLM
 ) -> list[dict[str, Any] | None]:
-    print(len(tools))
     tool_args_list: list[tuple[Callable[..., Any], tuple[Any, ...]]] = [
         (tool.get_args_for_non_tool_calling_llm, (query, history, llm))
         for tool in tools
     ]
-    print(tool_args_list)
-    print(tools)
-    print(len(tool_args_list))
+
     return run_functions_tuples_in_parallel(tool_args_list)

web/src/app/chat/ChatPage.tsx

@@ -1142,6 +1142,7 @@ export function ChatPage({
           if (!packet) {
             continue;
           }
+          console.log(packet);
 
           if (!initialFetchDetails) {
             if (!Object.hasOwn(packet, "user_message_id")) {