fix: add ensure_ascii=False to json.dumps for correct Unicode output

Author: KatHaruto

src/agents/extensions/models/litellm_model.py

@@ -96,7 +96,11 @@ async def get_response(
                 logger.debug("Received model response")
             else:
                 logger.debug(
-                    f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n"
+                    f"LLM resp:\n{
+                        json.dumps(
+                            response.choices[0].message.model_dump(), indent=2, ensure_ascii=False
+                        )
+                    }\n"
                 )
 
             if hasattr(response, "usage"):
@@ -263,8 +267,8 @@ async def _fetch_response(
         else:
             logger.debug(
                 f"Calling Litellm model: {self.model}\n"
-                f"{json.dumps(converted_messages, indent=2)}\n"
-                f"Tools:\n{json.dumps(converted_tools, indent=2)}\n"
+                f"{json.dumps(converted_messages, indent=2, ensure_ascii=False)}\n"
+                f"Tools:\n{json.dumps(converted_tools, indent=2, ensure_ascii=False)}\n"
                 f"Stream: {stream}\n"
                 f"Tool choice: {tool_choice}\n"
                 f"Response format: {response_format}\n"

src/agents/models/openai_chatcompletions.py

@@ -248,8 +248,8 @@ async def _fetch_response(
             logger.debug("Calling LLM")
         else:
             logger.debug(
-                f"{json.dumps(converted_messages, indent=2)}\n"
-                f"Tools:\n{json.dumps(converted_tools, indent=2)}\n"
+                f"{json.dumps(converted_messages, indent=2, ensure_ascii=False)}\n"
+                f"Tools:\n{json.dumps(converted_tools, indent=2, ensure_ascii=False)}\n"
                 f"Stream: {stream}\n"
                 f"Tool choice: {tool_choice}\n"
                 f"Response format: {response_format}\n"

src/agents/models/openai_responses.py

@@ -93,7 +93,13 @@ async def get_response(
                 else:
                     logger.debug(
                         "LLM resp:\n"
-                        f"{json.dumps([x.model_dump() for x in response.output], indent=2)}\n"
+                        f"""{
+                            json.dumps(
+                                [x.model_dump() for x in response.output],
+                                indent=2,
+                                ensure_ascii=False,
+                            )
+                        }\n"""
                     )
 
                 usage = (
@@ -237,8 +243,8 @@ async def _fetch_response(
         else:
             logger.debug(
                 f"Calling LLM {self.model} with input:\n"
-                f"{json.dumps(list_input, indent=2)}\n"
-                f"Tools:\n{json.dumps(converted_tools.tools, indent=2)}\n"
+                f"{json.dumps(list_input, indent=2, ensure_ascii=False)}\n"
+                f"Tools:\n{json.dumps(converted_tools.tools, indent=2, ensure_ascii=False)}\n"
                 f"Stream: {stream}\n"
                 f"Tool choice: {tool_choice}\n"
                 f"Response format: {response_format}\n"

src/agents/tool_context.py

@@ -7,6 +7,7 @@
 def _assert_must_pass_tool_call_id() -> str:
     raise ValueError("tool_call_id must be passed to ToolContext")
 
+
 @dataclass
 class ToolContext(RunContextWrapper[TContext]):
     """The context of a tool call."""