agent: disable parallel by default

examples/agent/agent.py

@@ -108,8 +108,8 @@ def completion_with_tool_usage(
                     tool_call_id=tool_call.id,
                     role="tool",
                     name=tool_call.function.name,
-                    # content=f'{tool_result}',
-                    content=f'{pretty_call} = {tool_result}',
+                    content=f'{tool_result}',
+                    # content=f'{pretty_call} = {tool_result}',
                 ))
         else:
             assert content
@@ -129,7 +129,7 @@ def main(
     max_iterations: Optional[int] = 10,
     std_tools: Optional[bool] = False,
     auth: Optional[str] = None,
-    parallel_calls: Optional[bool] = True,
+    parallel_calls: Optional[bool] = False,
     verbose: bool = False,
     style: Optional[ToolsPromptStyle] = None,
 

examples/openai/api.py

@@ -4,7 +4,7 @@ from pydantic import BaseModel, Json, TypeAdapter
 
 class FunctionCall(BaseModel):
     name: str
-    arguments: Dict[str, Any]
+    arguments: Union[Dict[str, Any], str]
 
 class ToolCall(BaseModel):
     id: Optional[str] = None

examples/openai/server.py

@@ -31,7 +31,7 @@ def main(
     # model_url: Annotated[Optional[str], typer.Option("--model-url", "-mu")] = None,
     host: str = "localhost",
     port: int = 8080,
-    parallel_calls: Optional[bool] = True,
+    parallel_calls: Optional[bool] = False,
     style: Optional[ToolsPromptStyle] = None,
     auth: Optional[str] = None,
     verbose: bool = False,
@@ -75,6 +75,44 @@ def main(
         atexit.register(server_process.kill)
         endpoint = f"http://{server_host}:{server_port}/completions"
 
+
+    # print(chat_template.render([
+    #     Message(**{
+    #         "role": "user",
+    #         "name": None,
+    #         "tool_call_id": None,
+    #         "content": "What is the sum of 2535 squared and 32222000403 then multiplied by one and a half. What's a third of the result?",
+    #         "tool_calls": None
+    #     }),
+    #     Message(**{
+    #         "role": "assistant",
+    #         # "name": None,
+    #         "tool_call_id": None,
+    #         "content": "?",
+    #         "tool_calls": [
+    #             {
+    #                 # "id": "call_531873",
+    #                 "type": "function",
+    #                 "function": {
+    #                     "name": "add",
+    #                     "arguments": {
+    #                         "a": 2535,
+    #                         "b": 32222000403
+    #                     }
+    #                 }
+    #             }
+    #         ]
+    #     }),
+    #     Message(**{
+    #         "role": "tool",
+    #         "name": "add",
+    #         "tool_call_id": "call_531873",
+    #         "content": "32222002938",
+    #         "tool_calls": None
+    #     })
+    # ], add_generation_prompt=True))
+    # exit(0)
+
     app = FastAPI()
 
     @app.post("/v1/chat/completions")
@@ -95,6 +133,7 @@ def main(
             ChatHandlerArgs(chat_template=chat_template, response_schema=response_schema, tools=chat_request.tools),
             parallel_calls=parallel_calls,
             tool_style=style,
+            verbose=verbose,
         )
 
         messages = chat_request.messages
@@ -103,7 +142,6 @@ def main(
 
         prompt = chat_template.render(messages, add_generation_prompt=True)
         
-
         if verbose:
             sys.stderr.write(f'\n# REQUEST:\n\n{chat_request.model_dump_json(indent=2)}\n\n')
             # sys.stderr.write(f'\n# MESSAGES:\n\n{TypeAdapter(list[Message]).dump_json(messages)}\n\n')