agentloop yield turn dict marker; agentmain intercepts and tracks per-turn outputs

agent_loop.py

@@ -39,7 +39,8 @@ def get_pretty_json(data):
         data = data.copy(); data["script"] = data["script"].replace("; ", ";\n  ")
     return json.dumps(data, indent=2, ensure_ascii=False).replace('\\n', '\n')
 
-def agent_runner_loop(client, system_prompt, user_input, handler, tools_schema, max_turns=40, verbose=True, initial_user_content=None):
+def agent_runner_loop(client, system_prompt, user_input, handler, tools_schema, 
+                      max_turns=40, verbose=True, initial_user_content=None, yield_info=False):
     messages = [
         {"role": "system", "content": system_prompt},
         {"role": "user", "content": initial_user_content if initial_user_content is not None else user_input}
@@ -49,8 +50,9 @@ def agent_runner_loop(client, system_prompt, user_input, handler, tools_schema,
         turn += 1; turnstr = f'LLM Running (Turn {turn}) ...'
         if handler.parent.task_dir: turnstr = f'Turn {turn} ...'
         if verbose: turnstr = f'**{turnstr}**'
+        if yield_info: yield {'turn': turn}
         yield f"\n\n{turnstr}\n\n"
-        if turn%10 == 0: client.last_tools = ''  # 每10轮重置一次工具描述，避免上下文过大导致的模型性能下降
+        if turn%10 == 0: client.last_tools = ''  # 每10轮重置一次工具描述
         response_gen = client.chat(messages=messages, tools=tools_schema)
         if verbose:
             response = yield from response_gen