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去下载这个包 wget https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/resolve/main/v1-5-pruned-emaonly-fp16.safetensors。
a2a.agent/card-url: "https://financial-analysis-agent/.well-known/agent.json" # 卡片URL。paths: ["/.well-known/agent.json", "/health"] # 允许的路径。"capability": "analyze_financial_data", # 分析金融数据。"parameters
a2a.agent/card-url: "https://financial-analysis-agent/.well-known/agent.json" # 卡片URL。paths: ["/.well-known/agent.json", "/health"] # 允许的路径。"capability": "analyze_financial_data", # 分析金融数据。"parameters
if user_confirmation.lower() in ["yes", "y", "start", "begin", "proceed"]: # 确认词。self.conversation_state["phase"] = "ready_to_work" # 转换到准备就绪阶段。"ready_to_work": state["phase"] == "ready_to_work" # 是否准
if user_confirmation.lower() in ["yes", "y", "start", "begin", "proceed"]: # 确认词。self.conversation_state["phase"] = "ready_to_work" # 转换到准备就绪阶段。"ready_to_work": state["phase"] == "ready_to_work" # 是否准
a2a.agent/card-url: "https://financial-analysis-agent/.well-known/agent.json" # 卡片URL。paths: ["/.well-known/agent.json", "/health"] # 允许的路径。"capability": "analyze_financial_data", # 分析金融数据。"parameters
a2a.agent/card-url: "https://financial-analysis-agent/.well-known/agent.json" # 卡片URL。paths: ["/.well-known/agent.json", "/health"] # 允许的路径。"capability": "analyze_financial_data", # 分析金融数据。"parameters
return f"我记得 {key}: {context['value']} (来自第 {context['conversation_turn']} 轮)"您想用这些数字执行任何其他计算吗？return f"我记得 {key}: {context['value']} (类别: {cat})"session_id=f"conversation_{user_id}", # 会话_{用户ID}summa
return f"我记得 {key}: {context['value']} (来自第 {context['conversation_turn']} 轮)"您想用这些数字执行任何其他计算吗？return f"我记得 {key}: {context['value']} (类别: {cat})"session_id=f"conversation_{user_id}", # 会话_{用户ID}summa
agent_card = await resolver.get_agent_card()# GET 请求 http://localhost:9000/.well-known/agent.json。asyncio.run(send_sync_message("what is 3 to the power of 7")) # 3 的 7 次方是多少。agent_card = await resolve