LLamaIndex 工作流Context上下文

默认情况下，AgentWorkflow在运行之间是无状态的。这意味着代理将没有以前运行的任何内存。为了解决工作流具有长期记忆，引入context上下文状态管理

mousegavin

394人浏览 · 2025-05-06 11:44:16

mousegavin · 2025-05-06 11:44:16 发布

状态维护

默认情况下，AgentWorkflow在运行之间是无状态的。这意味着代理将没有以前运行的任何内存。

Context

为了维护状态，我们需要跟踪之前的状态。在 LlamaIndex 中，Workflows 有一个类，可用于在运行中和运行之间维护状态。由于 AgentWorkflow 只是一个预构建的 Workflow，我们现在也可以使用它。

from llama_index.core.workflow import Context

为了在运行之间保持状态，我们创建一个名为 ctx 的新 Context。传入工作流，以便为将使用它的工作流正确配置此 Context 对象。

workflow =AgentWorkflow.from_tools_or_functions(
        [
            set_name
        ],
        llm=llm,
        system_prompt="你是一个智能助手，你可以设置用户名",
        initial_state={"name": "未知"},
    )
# 初始化上下文
ctx = Context(workflow)

使用context开始第一轮对话

ctx_dict = ctx.to_dict(serializer=JsonSerializer())
print("上下文1: ", ctx_dict)
response = await workflow.run(
            user_msg="我的名字是什么？",
            ctx=ctx,
        )
print(str(response))

记录

上下文1:  {'globals': {}, 'streaming_queue': '[]', 'queues': {}, 'stepwise': False, 'event_buffers': {}, 'in_progress': {}, 'accepted_events': [], 'broker_log': [], 'is_running': False}
您的名字是未知。

接着开始第二轮会话

        ctx_dict = ctx.to_dict(serializer=JsonSerializer())
        print("上下文2: ", ctx_dict)
        response = await workflow.run(
            user_msg="我的名字是张三",
            ctx=ctx,
        )
        print(str(response))
        state = await ctx.get("state")
        print("存储状态中的名字是: ", state["name"])

输出记录

上下文2:  {'globals': {'memory': '{"__is_component": true, "value": {"chat_store": {"store": {"chat_history": [{"role": "user", "additional_kwargs": {}, "blocks": [{"block_type": "text", "text": "Current state:\\n{\'name\': \'\\u672a\\u77e5\'}\\n\\nCurrent message:\\n\\u6211\\u7684\\u540d\\u5b57\\u662f\\u4ec0\\u4e48\\uff1f\\n"}]}, {"role": "assistant", "additional_kwargs": {}, "blocks": [{"block_type": "text", "text": "Thought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\nAnswer: \\u60a8\\u7684\\u540d\\u5b57\\u662f\\u672a\\u77e5\\u3002"}]}]}, "class_name": "SimpleChatStore"}, "chat_store_key": "chat_history", "token_limit": 2925, "class_name": "ChatMemoryBuffer"}, "qualified_name": "llama_index.core.memory.chat_memory_buffer.ChatMemoryBuffer"}', 'agents': '["Agent"]', 'can_handoff_to': '{"Agent": null}', 'state': '{"name": "\\u672a\\u77e5"}', 'current_agent_name': '"Agent"', 'handoff_output_prompt': '"Agent {to_agent} is now handling the request due to the following reason: {reason}.\\nPlease continue with the current request."', 'formatted_input_with_state': 'true', 'user_msg_str': '"\\u6211\\u7684\\u540d\\u5b57\\u662f\\u4ec0\\u4e48\\uff1f"', 'current_reasoning': '[]', 'current_tool_calls': '[]'}, 'streaming_queue': '["{\\"__is_pydantic\\": true, \\"value\\": {\\"input\\": [{\\"role\\": \\"system\\", \\"additional_kwargs\\": {}, \\"blocks\\": [{\\"block_type\\": \\"text\\", \\"text\\": \\"You are designed to help with a variety of tasks, from answering questions to providing summaries to other types of analyses.\\\\n\\\\n## Tools\\\\n\\\\nYou have access to a wide variety of tools. You are responsible for using the tools in any sequence you deem appropriate to complete the task at hand.\\\\nThis may require breaking the task into subtasks and using different tools to complete each subtask.\\\\n\\\\nYou have access to the following tools:\\\\n> Tool Name: set_name\\\\nTool Description: set_name(name: str) -> str\\\\nNone\\\\nTool Args: {\\\\\\"properties\\\\\\": {\\\\\\"name\\\\\\": {\\\\\\"title\\\\\\": \\\\\\"Name\\\\\\", \\\\\\"type\\\\\\": \\\\\\"string\\\\\\"}}, \\\\\\"required\\\\\\": [\\\\\\"name\\\\\\"], \\\\\\"type\\\\\\": \\\\\\"object\\\\\\"}\\\\n\\\\n\\\\n\\\\n## Output Format\\\\n\\\\nPlease answer in the same language as the question and use the following format:\\\\n\\\\n```\\\\nThought: The current language of the user is: (user\'s language). I need to use a tool to help me answer the question.\\\\nAction: tool name (one of set_name) if using a tool.\\\\nAction Input: the input to the tool, in a JSON format representing the kwargs (e.g. {\\\\\\"input\\\\\\": \\\\\\"hello world\\\\\\", \\\\\\"num_beams\\\\\\": 5})\\\\n```\\\\n\\\\nPlease ALWAYS start with a Thought.\\\\n\\\\nNEVER surround your response with markdown code markers. You may use code markers within your response if you need to.\\\\n\\\\nPlease use a valid JSON format for the Action Input. Do NOT do this {\'input\': \'hello world\', \'num_beams\': 5}.\\\\n\\\\nIf this format is used, the tool will respond in the following format:\\\\n\\\\n```\\\\nObservation: tool response\\\\n```\\\\n\\\\nYou should keep repeating the above format till you have enough information to answer the question without using any more tools. At that point, you MUST respond in one of the following two formats:\\\\n\\\\n```\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: [your answer here (In the same language as the user\'s question)]\\\\n```\\\\n\\\\n```\\\\nThought: I cannot answer the question with the provided tools.\\\\nAnswer: [your answer here (In the same language as the user\'s question)]\\\\n```\\\\n\\\\n## Current Conversation\\\\n\\\\nBelow is the current conversation consisting of interleaving human and assistant messages.\\\\n\\"}]}, {\\"role\\": \\"user\\", \\"additional_kwargs\\": {}, \\"blocks\\": [{\\"block_type\\": \\"text\\", \\"text\\": \\"Current state:\\\\n{\'name\': \'\\\\u672a\\\\u77e5\'}\\\\n\\\\nCurrent message:\\\\n\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\n\\"}]}], \\"current_agent_name\\": \\"Agent\\"}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentInput\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"<think>\\", \\"response\\": \\"<think>\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"<think>\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\n\\", \\"response\\": \\"<think>\\\\n\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\n\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"Okay\\", \\"response\\": \\"<think>\\\\nOkay\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"Okay\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" user\\", \\"response\\": \\"<think>\\\\nOkay, the user\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" user\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" is\\", \\"response\\": \\"<think>\\\\nOkay, the user is\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" is\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" asking\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" asking\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u6211\\\\u7684\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u6211\\\\u7684\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u540d\\\\u5b57\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u540d\\\\u5b57\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u662f\\\\u4ec0\\\\u4e48\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u662f\\\\u4ec0\\\\u4e48\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\uff1f\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\uff1f\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" which\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" which\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" means\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" means\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"What\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"What\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\'s\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\'s\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" my\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" my\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"?\\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"?\\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" in\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" in\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" Chinese\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" Chinese\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\".\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese.\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\".\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" Looking\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" Looking\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" at\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" at\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" current\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" current\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" state\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" state\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" is\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" is\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" set\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" set\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" to\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" to\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \'\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \'\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u672a\\\\u77e5\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u672a\\\\u77e5\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\',\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\',\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\',\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" which\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" which\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" translates\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" translates\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" to\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" to\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"unknown\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"unknown\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" in\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" in\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" English\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" English\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\".\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English.\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\".\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" So\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" So\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" answer\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" answer\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" should\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" should\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" be\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" be\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" that\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" that\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" their\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" their\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" is\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" is\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" unknown\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" unknown\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\".\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown.\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\".\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" I\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" I\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" need\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" need\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" to\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" to\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" check\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" check\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" if\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" if\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" there\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" there\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\'s\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\'s\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" a\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" a\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" tool\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" tool\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" to\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" to\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" retrieve\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" retrieve\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" or\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" or\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" set\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" set\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" but\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" but\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" available\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" available\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" tool\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" tool\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" is\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" is\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" set\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" set\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"_name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"_name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" which\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" which\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" is\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" is\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" for\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" for\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" setting\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" setting\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\".\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name.\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\".\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" Since\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" Since\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" user\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" user\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" is\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" is\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" asking\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" asking\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" for\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" for\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" their\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" their\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" name\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" name\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" and\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" and\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" current\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" current\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" state\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" state\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" shows\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" shows\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" it\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" it\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\'s\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\'s\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \'\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \'\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u672a\\\\u77e5\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u672a\\\\u77e5\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\',\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\',\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\',\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" I\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" I\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" can\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" can\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" directly\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" directly\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" answer\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" answer\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" based\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" based\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" on\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" on\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" existing\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" existing\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" data\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" data\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" without\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" without\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" using\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" using\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" any\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" any\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" tool\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" tool\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\".\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool.\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\".\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" The\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" The\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" answer\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" answer\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" should\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" should\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" be\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" be\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" in\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" in\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" Chinese\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" Chinese\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\",\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese,\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\",\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" so\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" so\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" I\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" I\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\'ll\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\'ll\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" respond\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" respond\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" with\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" with\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \\\\\\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \\\\\\"\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u60a8\\\\u7684\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u60a8\\\\u7684\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u540d\\\\u5b57\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u540d\\\\u5b57\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u662f\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u662f\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u672a\\\\u77e5\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u672a\\\\u77e5\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u3002\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u3002\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\\\"\\\\n\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\\\"\\\\n\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"</think>\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"</think>\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\n\\\\n\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\n\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\n\\\\n\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"Thought\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"Thought\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\":\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought:\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\":\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" I\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" I\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" can\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" can\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" answer\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" answer\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" without\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" without\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" using\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" using\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" any\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" any\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" more\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" more\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" tools\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" tools\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\".\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools.\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\".\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" I\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" I\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\'ll\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\'ll\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" use\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" use\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" the\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" the\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" user\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" user\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\'s\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\'s\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" language\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" language\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" to\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" to\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" answer\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" answer\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\n\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\n\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\n\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"Answer\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"Answer\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\":\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer:\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\":\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\" \\\\u60a8\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: \\\\u60a8\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\" \\\\u60a8\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u7684\\\\u540d\\\\u5b57\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: \\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u7684\\\\u540d\\\\u5b57\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u662f\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: \\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u662f\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u672a\\\\u77e5\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: \\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u672a\\\\u77e5\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\\\u3002\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: \\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {\\"role\\": \\"assistant\\", \\"content\\": \\"\\\\u3002\\"}, \\"logprobs\\": null, \\"finish_reason\\": null}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"delta\\": \\"\\", \\"response\\": \\"<think>\\\\nOkay, the user is asking, \\\\\\"\\\\u6211\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u4ec0\\\\u4e48\\\\uff1f\\\\\\" which means \\\\\\"What\'s my name?\\\\\\" in Chinese. Looking at the current state, the name is set to \'\\\\u672a\\\\u77e5\', which translates to \\\\\\"unknown\\\\\\" in English. So the answer should be that their name is unknown. I need to check if there\'s a tool to retrieve or set the name, but the available tool is set_name, which is for setting the name. Since the user is asking for their name, and the current state shows it\'s \'\\\\u672a\\\\u77e5\', I can directly answer based on the existing data without using any tool. The answer should be in Chinese, so I\'ll respond with \\\\\\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\\\\\"\\\\n</think>\\\\n\\\\nThought: I can answer without using any more tools. I\'ll use the user\'s language to answer\\\\nAnswer: \\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\", \\"current_agent_name\\": \\"Agent\\", \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {}, \\"logprobs\\": null, \\"finish_reason\\": \\"stop\\"}]}}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentStream\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {\\"response\\": {\\"role\\": \\"assistant\\", \\"additional_kwargs\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\"}, \\"blocks\\": [{\\"block_type\\": \\"text\\", \\"text\\": \\"\\\\u60a8\\\\u7684\\\\u540d\\\\u5b57\\\\u662f\\\\u672a\\\\u77e5\\\\u3002\\"}]}, \\"tool_calls\\": [], \\"raw\\": {\\"id\\": \\"chatcmpl-3ltqeayus6eerbct3olqhp\\", \\"object\\": \\"chat.completion.chunk\\", \\"created\\": 1746502547, \\"model\\": \\"qwen3-8b-instuct\\", \\"system_fingerprint\\": \\"qwen3-8b-instuct\\", \\"choices\\": [{\\"index\\": 0, \\"delta\\": {}, \\"logprobs\\": null, \\"finish_reason\\": \\"stop\\"}]}, \\"current_agent_name\\": \\"Agent\\"}, \\"qualified_name\\": \\"llama_index.core.agent.workflow.workflow_events.AgentOutput\\"}", "{\\"__is_pydantic\\": true, \\"value\\": {}, \\"qualified_name\\": \\"llama_index.core.workflow.events.StopEvent\\"}"]', 'queues': {'_done': '[]', 'aggregate_tool_results': '[]', 'call_tool': '[]', 'init_run': '[]', 'parse_agent_output': '[]', 'run_agent_step': '[]', 'setup_agent': '[]'}, 'stepwise': False, 'event_buffers': {}, 'in_progress': {'init_run': [], 'setup_agent': [], 'run_agent_step': [], 'parse_agent_output': [], '_done': []}, 'accepted_events': [('init_run', 'StartEvent'), ('setup_agent', 'AgentInput'), ('run_agent_step', 'AgentSetup'), ('parse_agent_output', 'AgentOutput')], 'broker_log': ['{"__is_pydantic": true, "value": {"_data": {"user_msg": "\\u6211\\u7684\\u540d\\u5b57\\u662f\\u4ec0\\u4e48\\uff1f", "chat_history": null, "memory": null}}, "qualified_name": "llama_index.core.workflow.events.StartEvent"}', '{"__is_pydantic": true, "value": {"input": [{"role": "user", "additional_kwargs": {}, "blocks": [{"block_type": "text", "text": "Current state:\\n{\'name\': \'\\u672a\\u77e5\'}\\n\\nCurrent message:\\n\\u6211\\u7684\\u540d\\u5b57\\u662f\\u4ec0\\u4e48\\uff1f\\n"}]}], "current_agent_name": "Agent"}, "qualified_name": "llama_index.core.agent.workflow.workflow_events.AgentInput"}', '{"__is_pydantic": true, "value": {"input": [{"role": "system", "additional_kwargs": {}, "blocks": [{"block_type": "text", "text": "\\u4f60\\u662f\\u4e00\\u4e2a\\u667a\\u80fd\\u52a9\\u624b\\uff0c\\u4f60\\u53ef\\u4ee5\\u8bbe\\u7f6e\\u7528\\u6237\\u540d"}]}, {"role": "user", "additional_kwargs": {}, "blocks": [{"block_type": "text", "text": "Current state:\\n{\'name\': \'\\u672a\\u77e5\'}\\n\\nCurrent message:\\n\\u6211\\u7684\\u540d\\u5b57\\u662f\\u4ec0\\u4e48\\uff1f\\n"}]}], "current_agent_name": "Agent"}, "qualified_name": "llama_index.core.agent.workflow.workflow_events.AgentSetup"}', '{"__is_pydantic": true, "value": {"response": {"role": "assistant", "additional_kwargs": {"id": "chatcmpl-3ltqeayus6eerbct3olqhp", "object": "chat.completion.chunk", "created": 1746502547, "model": "qwen3-8b-instuct", "system_fingerprint": "qwen3-8b-instuct"}, "blocks": [{"block_type": "text", "text": "\\u60a8\\u7684\\u540d\\u5b57\\u662f\\u672a\\u77e5\\u3002"}]}, "tool_calls": [], "raw": {"id": "chatcmpl-3ltqeayus6eerbct3olqhp", "object": "chat.completion.chunk", "created": 1746502547, "model": "qwen3-8b-instuct", "system_fingerprint": "qwen3-8b-instuct", "choices": [{"index": 0, "delta": {}, "logprobs": null, "finish_reason": "stop"}]}, "current_agent_name": "Agent"}, "qualified_name": "llama_index.core.agent.workflow.workflow_events.AgentOutput"}', '{"__is_pydantic": true, "value": {}, "qualified_name": "llama_index.core.workflow.events.StopEvent"}'], 'is_running': False}
修改状态中名称为: 张三
您的名字已设置为 张三。
存储状态中的名字是:  张三

完整代码

# 使用llm 工作流状态保持
from llama_index.core.agent.workflow import ReActAgent, FunctionAgent, AgentWorkflow
from llama_index.core.workflow import JsonPickleSerializer, JsonSerializer
from llama_index.core.workflow import Context
from llama_index.llms.lmstudio import LMStudio

llm = LMStudio(
    model_name="qwen3-8b-instuct",
    base_url="http://localhost:9999/v1",
    temperature=0.7,
)
async def set_name(ctx: Context, name: str) -> str:
    state = await ctx.get("state")
    state["name"] = name
    print(f"修改状态中名称为: {name}")
    await ctx.set("state", state)
    return f"将用户名设置为 {name}"
def test_workflow_with_context():
    # 定义一个工作流
    workflow =AgentWorkflow.from_tools_or_functions(
        [
            set_name
        ],
        llm=llm,
        system_prompt="你是一个智能助手，你可以设置用户名",
        initial_state={"name": "未知"},
    )
    # 初始化上下文
    ctx = Context(workflow)
    # 运行工作流
    async def lauch():
        ctx_dict = ctx.to_dict(serializer=JsonSerializer())
        print("上下文1: ", ctx_dict)
        response = await workflow.run(
            user_msg="我的名字是什么？",
            ctx=ctx,
        )
        print(str(response))

    async def lauch2():
        ctx_dict = ctx.to_dict(serializer=JsonSerializer())
        print("上下文2: ", ctx_dict)
        response = await workflow.run(
            user_msg="我的名字是张三",
            ctx=ctx,
        )
        print(str(response))
        state = await ctx.get("state")
        print("存储状态中的名字是: ", state["name"])
    # 定义一个函数，用于组合两个异步函数
    async def compose():
        await lauch()
        await lauch2()
    import asyncio
    asyncio.run(compose())
if __name__ == "__main__":
    test_workflow_with_context()

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火山引擎 ADG 社区

飞书 × OpenClaw 接入指南：不用服务器，用长连接把机器人跑起来

这个项目存在的意义，就是把“飞书接 OpenClaw”这件事，整理成一套的配置入口，并把官方文档没覆盖到的坑集中写成排查清单。先说清楚它的角色：OpenClaw 现在已经内置官方飞书插件 @openclaw/feishu，功能更完整、维护也更及时。，说明飞书 + AI 的接入已经走通。另外，仓库也推荐了一个新项目：把 OpenClaw 变成“多 Agent 团队”，用多个 Agent 分工，Sla