{
  "session_id": "20260518_051343_64d126",
  "model": "claude-opus-4-5-20251101-thinking",
  "base_url": "https://api.nwafu-ai.cn/v1",
  "platform": "qqbot",
  "session_start": "2026-05-18T05:13:43.660903",
  "last_updated": "2026-05-18T05:14:17.561865",
  "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nHost: Linux (6.8.0-101-generic)\nUser home directory: /home/ubuntu\nCurrent working directory: /home/ubuntu/.hermes/hermes-agent\n\nYou are on QQ, a popular Chinese messaging platform. QQ supports markdown formatting and emoji. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images are sent as native photos, and other files arrive as downloadable documents.\n\nConversation started: Monday, May 18, 2026 05:13 AM\nModel: claude-opus-4-5-20251101-thinking\nProvider: nwafu",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_align_elements",
        "description": "Align elements to a specific position",
        "parameters": {
          "type": "object",
          "properties": {
            "elementIds": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "alignment": {
              "type": "string",
              "enum": [
                "left",
                "center",
                "right",
                "top",
                "middle",
                "bottom"
              ]
            }
          },
          "required": [
            "elementIds",
            "alignment"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_create_element",
        "description": "Create a new Excalidraw element",
        "parameters": {
          "type": "object",
          "properties": {
            "type": {
              "type": "string",
              "enum": [
                "rectangle",
                "ellipse",
                "diamond",
                "arrow",
                "text",
                "label",
                "freedraw",
                "line",
                "arrowLabel"
              ]
            },
            "x": {
              "type": "number"
            },
            "y": {
              "type": "number"
            },
            "width": {
              "type": "number"
            },
            "height": {
              "type": "number"
            },
            "backgroundColor": {
              "type": "string"
            },
            "strokeColor": {
              "type": "string"
            },
            "strokeWidth": {
              "type": "number"
            },
            "roughness": {
              "type": "number"
            },
            "opacity": {
              "type": "number"
            },
            "text": {
              "type": "string"
            },
            "fontSize": {
              "type": "number"
            },
            "fontFamily": {
              "type": "string"
            }
          },
          "required": [
            "type",
            "x",
            "y"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_delete_element",
        "description": "Delete an Excalidraw element",
        "parameters": {
          "type": "object",
          "properties": {
            "id": {
              "type": "string"
            }
          },
          "required": [
            "id"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_distribute_elements",
        "description": "Distribute elements evenly",
        "parameters": {
          "type": "object",
          "properties": {
            "elementIds": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "direction": {
              "type": "string",
              "enum": [
                "horizontal",
                "vertical"
              ]
            }
          },
          "required": [
            "elementIds",
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_get_resource",
        "description": "Get an Excalidraw resource",
        "parameters": {
          "type": "object",
          "properties": {
            "resource": {
              "type": "string",
              "enum": [
                "scene",
                "library",
                "theme",
                "elements"
              ]
            }
          },
          "required": [
            "resource"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_group_elements",
        "description": "Group multiple elements together",
        "parameters": {
          "type": "object",
          "properties": {
            "elementIds": {
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          },
          "required": [
            "elementIds"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_lock_elements",
        "description": "Lock elements to prevent modification",
        "parameters": {
          "type": "object",
          "properties": {
            "elementIds": {
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          },
          "required": [
            "elementIds"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_query_elements",
        "description": "Query Excalidraw elements with optional filters",
        "parameters": {
          "type": "object",
          "properties": {
            "type": {
              "type": "string",
              "enum": [
                "rectangle",
                "ellipse",
                "diamond",
                "arrow",
                "text",
                "label",
                "freedraw",
                "line",
                "arrowLabel"
              ]
            },
            "filter": {
              "type": "object",
              "additionalProperties": true,
              "properties": {}
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_ungroup_elements",
        "description": "Ungroup a group of elements",
        "parameters": {
          "type": "object",
          "properties": {
            "groupId": {
              "type": "string"
            }
          },
          "required": [
            "groupId"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_unlock_elements",
        "description": "Unlock elements to allow modification",
        "parameters": {
          "type": "object",
          "properties": {
            "elementIds": {
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          },
          "required": [
            "elementIds"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_excalidraw_update_element",
        "description": "Update an existing Excalidraw element",
        "parameters": {
          "type": "object",
          "properties": {
            "id": {
              "type": "string"
            },
            "type": {
              "type": "string",
              "enum": [
                "rectangle",
                "ellipse",
                "diamond",
                "arrow",
                "text",
                "label",
                "freedraw",
                "line",
                "arrowLabel"
              ]
            },
            "x": {
              "type": "number"
            },
            "y": {
              "type": "number"
            },
            "width": {
              "type": "number"
            },
            "height": {
              "type": "number"
            },
            "backgroundColor": {
              "type": "string"
            },
            "strokeColor": {
              "type": "string"
            },
            "strokeWidth": {
              "type": "number"
            },
            "roughness": {
              "type": "number"
            },
            "opacity": {
              "type": "number"
            },
            "text": {
              "type": "string"
            },
            "fontSize": {
              "type": "number"
            },
            "fontFamily": {
              "type": "string"
            }
          },
          "required": [
            "id"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_get_prompt",
        "description": "Get a prompt by name from MCP server 'tavily'",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "Name of the prompt to retrieve"
            },
            "arguments": {
              "type": "object",
              "description": "Optional arguments to pass to the prompt",
              "properties": {},
              "additionalProperties": true
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_list_prompts",
        "description": "List available prompts from MCP server 'tavily'",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_list_resources",
        "description": "List available resources from MCP server 'tavily'",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_read_resource",
        "description": "Read a resource by URI from MCP server 'tavily'",
        "parameters": {
          "type": "object",
          "properties": {
            "uri": {
              "type": "string",
              "description": "URI of the resource to read"
            }
          },
          "required": [
            "uri"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_tavily_crawl",
        "description": "Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.",
        "parameters": {
          "additionalProperties": false,
          "properties": {
            "url": {
              "description": "The root URL to begin the crawl",
              "type": "string"
            },
            "max_depth": {
              "default": 1,
              "description": "Max depth of the crawl. Defines how far from the base URL the crawler can explore.",
              "minimum": 1,
              "type": "integer"
            },
            "max_breadth": {
              "default": 20,
              "description": "Max number of links to follow per level of the tree (i.e., per page)",
              "minimum": 1,
              "type": "integer"
            },
            "limit": {
              "default": 50,
              "description": "Total number of links the crawler will process before stopping",
              "minimum": 1,
              "type": "integer"
            },
            "instructions": {
              "default": "",
              "description": "Natural language instructions for the crawler. Instructions specify which types of pages the crawler should return.",
              "type": "string"
            },
            "select_paths": {
              "default": [],
              "description": "Regex patterns to select only URLs with specific path patterns (e.g., /docs/.*, /api/v1.*)",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "select_domains": {
              "default": [],
              "description": "Regex patterns to restrict crawling to specific domains or subdomains (e.g., ^docs\\.example\\.com$)",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "allow_external": {
              "default": true,
              "description": "Whether to return external links in the final response",
              "type": "boolean"
            },
            "extract_depth": {
              "default": "basic",
              "description": "Advanced extraction retrieves more data, including tables and embedded content, with higher success but may increase latency",
              "enum": [
                "basic",
                "advanced"
              ],
              "type": "string"
            },
            "format": {
              "default": "markdown",
              "description": "The format of the extracted web page content. markdown returns content in markdown format. text returns plain text and may increase latency.",
              "enum": [
                "markdown",
                "text"
              ],
              "type": "string"
            },
            "include_favicon": {
              "default": false,
              "description": "Whether to include the favicon URL for each result",
              "type": "boolean"
            }
          },
          "required": [
            "url"
          ],
          "type": "object"
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_tavily_extract",
        "description": "Extract content from URLs. Returns raw page content in markdown or text format.",
        "parameters": {
          "additionalProperties": false,
          "properties": {
            "urls": {
              "description": "List of URLs to extract content from",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "extract_depth": {
              "default": "basic",
              "description": "Use 'advanced' for LinkedIn, protected sites, or tables/embedded content",
              "enum": [
                "basic",
                "advanced"
              ],
              "type": "string"
            },
            "include_images": {
              "default": false,
              "description": "Include images from pages",
              "type": "boolean"
            },
            "format": {
              "default": "markdown",
              "description": "Output format",
              "enum": [
                "markdown",
                "text"
              ],
              "type": "string"
            },
            "include_favicon": {
              "default": false,
              "description": "Include favicon URLs",
              "type": "boolean"
            },
            "query": {
              "default": "",
              "description": "Query to rerank content chunks by relevance",
              "type": "string"
            }
          },
          "required": [
            "urls"
          ],
          "type": "object"
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_tavily_map",
        "description": "Map a website's structure. Returns a list of URLs found starting from the base URL.",
        "parameters": {
          "additionalProperties": false,
          "properties": {
            "url": {
              "description": "The root URL to begin the mapping",
              "type": "string"
            },
            "max_depth": {
              "default": 1,
              "description": "Max depth of the mapping. Defines how far from the base URL the crawler can explore",
              "minimum": 1,
              "type": "integer"
            },
            "max_breadth": {
              "default": 20,
              "description": "Max number of links to follow per level of the tree (i.e., per page)",
              "minimum": 1,
              "type": "integer"
            },
            "limit": {
              "default": 50,
              "description": "Total number of links the crawler will process before stopping",
              "minimum": 1,
              "type": "integer"
            },
            "instructions": {
              "default": "",
              "description": "Natural language instructions for the crawler",
              "type": "string"
            },
            "select_paths": {
              "default": [],
              "description": "Regex patterns to select only URLs with specific path patterns (e.g., /docs/.*, /api/v1.*)",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "select_domains": {
              "default": [],
              "description": "Regex patterns to restrict crawling to specific domains or subdomains (e.g., ^docs\\.example\\.com$)",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "allow_external": {
              "default": true,
              "description": "Whether to return external links in the final response",
              "type": "boolean"
            }
          },
          "required": [
            "url"
          ],
          "type": "object"
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_tavily_research",
        "description": "Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources, including web pages, documents, and other resources, to answer a question or complete a task. Returns a detailed response based on the research findings. Rate limit: 20 requests per minute.",
        "parameters": {
          "additionalProperties": false,
          "properties": {
            "input": {
              "description": "A comprehensive description of the research task",
              "type": "string"
            },
            "model": {
              "default": "auto",
              "description": "Defines the degree of depth of the research. 'mini' is good for narrow tasks with few subtopics. 'pro' is good for broad tasks with many subtopics",
              "enum": [
                "mini",
                "pro",
                "auto"
              ],
              "type": "string"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mcp_tavily_tavily_search",
        "description": "Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.",
        "parameters": {
          "additionalProperties": false,
          "properties": {
            "query": {
              "description": "Search query",
              "type": "string"
            },
            "max_results": {
              "default": 5,
              "description": "The maximum number of search results to return",
              "type": "integer"
            },
            "search_depth": {
              "default": "basic",
              "description": "The depth of the search. 'basic' for generic results, 'advanced' for more thorough search, 'fast' for optimized low latency with high relevance, 'ultra-fast' for prioritizing latency above all else",
              "enum": [
                "basic",
                "advanced",
                "fast",
                "ultra-fast"
              ],
              "type": "string"
            },
            "topic": {
              "const": "general",
              "default": "general",
              "description": "The category of the search. This will determine which of our agents will be used for the search",
              "type": "string"
            },
            "time_range": {
              "enum": [
                "day",
                "week",
                "month",
                "year"
              ],
              "type": "string",
              "nullable": true,
              "description": "The time range back from the current date to include in the search results",
              "default": null
            },
            "include_images": {
              "default": false,
              "description": "Include a list of query-related images in the response",
              "type": "boolean"
            },
            "include_image_descriptions": {
              "default": false,
              "description": "Include a list of query-related images and their descriptions in the response",
              "type": "boolean"
            },
            "include_raw_content": {
              "default": false,
              "description": "Include the cleaned and parsed HTML content of each search result",
              "type": "boolean"
            },
            "include_domains": {
              "default": [],
              "description": "A list of domains to specifically include in the search results, if the user asks to search on specific sites set this to the domain of the site",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "exclude_domains": {
              "default": [],
              "description": "List of domains to specifically exclude, if the user asks to exclude a domain set this to the domain of the site",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "country": {
              "default": "",
              "description": "Boost search results from a specific country. Must be a full country name (e.g., 'United States', 'Japan', 'Germany'). ISO country codes (e.g., 'us', 'jp') are not supported. Available only if topic is general. See https://docs.tavily.com/documentation/api-reference/search for the full list of supported countries.",
              "type": "string"
            },
            "include_favicon": {
              "default": false,
              "description": "Whether to include the favicon URL for each result",
              "type": "boolean"
            },
            "start_date": {
              "default": "",
              "description": "Will return all results after the specified start date. Required to be written in the format YYYY-MM-DD.",
              "type": "string"
            },
            "end_date": {
              "default": "",
              "description": "Will return all results before the specified end date. Required to be written in the format YYYY-MM-DD",
              "type": "string"
            },
            "exact_match": {
              "type": "boolean",
              "nullable": true,
              "description": "Only return results containing the exact phrase(s) in quotes in your query",
              "default": null
            }
          },
          "required": [
            "query"
          ],
          "type": "object"
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "list",
                "poll",
                "log",
                "wait",
                "kill",
                "write",
                "submit",
                "close"
              ],
              "description": "Action to perform on background processes"
            },
            "session_id": {
              "type": "string",
              "description": "Process session ID (from terminal background output). Required for all actions except 'list'."
            },
            "data": {
              "type": "string",
              "description": "Text to send to process stdin (for 'write' and 'submit' actions)"
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
              "minimum": 1
            },
            "offset": {
              "type": "integer",
              "description": "Line offset for 'log' action (default: last 200 lines)"
            },
            "limit": {
              "type": "integer",
              "description": "Max lines to return for 'log' action",
              "minimum": 1
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    }
  ],
  "message_count": 4,
  "messages": [
    {
      "role": "user",
      "content": "测试 deepseek-ai/DeepSeek-R1-0528-Qwen3-8B 模型能否正常回复。用硅基流动 API 发送一个简单问题，确认模型可用。"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "用户要求我测试 deepseek-ai/DeepSeek-R1-0528-Qwen3-8B 模型是否能正常回复。我需要使用硅基流动 API 发送一个简单的请求来测试。\n\nAPI 信息：\n- API: https://api.siliconflow.cn/v1\n- API Key: sk-llicoufjowafeksyzknhxebhxfyaawjrmiiefpswhofheirv\n- 模型: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B\n\n我将使用 curl 命令发送一个简单的聊天请求来测试模型。\n",
      "finish_reason": "tool_calls",
      "reasoning_content": "用户要求我测试 deepseek-ai/DeepSeek-R1-0528-Qwen3-8B 模型是否能正常回复。我需要使用硅基流动 API 发送一个简单的请求来测试。\n\nAPI 信息：\n- API: https://api.siliconflow.cn/v1\n- API Key: sk-llicoufjowafeksyzknhxebhxfyaawjrmiiefpswhofheirv\n- 模型: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B\n\n我将使用 curl 命令发送一个简单的聊天请求来测试模型。\n",
      "tool_calls": [
        {
          "id": "tooluse_yusMDgLDv9Yqatw17U8mAy",
          "call_id": "tooluse_yusMDgLDv9Yqatw17U8mAy",
          "response_item_id": "fc_tooluse_yusMDgLDv9Yqatw17U8mAy",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"curl -s https://api.siliconflow.cn/v1/chat/completions \\\\\\n  -H \\\"Content-Type: application/json\\\" \\\\\\n  -H \\\"Authorization: Bearer sk-llicoufjowafeksyzknhxebhxfyaawjrmiiefpswhofheirv\\\" \\\\\\n  -d '{\\n    \\\"model\\\": \\\"deepseek-ai/DeepSeek-R1-0528-Qwen3-8B\\\",\\n    \\\"messages\\\": [\\n      {\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"你是谁？请简单介绍一下自己。\\\"}\\n    ],\\n    \\\"max_tokens\\\": 512\\n  }'\", \"timeout\": 60}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"{\\\"id\\\":\\\"019e37c9c5591b21355a53b4682b182f\\\",\\\"object\\\":\\\"chat.completion\\\",\\\"created\\\":1779052430,\\\"model\\\":\\\"deepseek-ai/DeepSeek-R1-0528-Qwen3-8B\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"message\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\\n你好呀！👋我是 **DeepSeek-R1**，由中国的人工智能公司月之暗面（Moonshot AI）精心研发的一款智能助手。你可以把我当作一个知识丰富、热情靠谱、乐于助人的搭子～🌟\\\\n\\\\n我擅长各种文本处理、推理和写作任务，比如：\\\\n\\\\n🔥 回答各种百科知识问题  \\\\n📝 帮你写文章、公文、求职信、情书  \\\\n💡 给你生活建议，比如做饭、旅游攻略、养花养宠  \\\\n📚 解析题目、讲解作业、准备考试（数学、英语、物理等）  \\\\n🎨 起标题、想创意、做策划、排版美化文案内容  \\\\n🤝 像朋友一样聊天，陪你说说话、脑暴点子、情绪支持  \\\\n\\\\n我的优势是能在庞大的知识库里中理解你的意思，并用清晰、易懂的语言表达出来。当然啦，我还是个免费助手，目前不支持语音功能，但随时欢迎你用文字来找我！\\\\n\\\\n如果你对我好奇，或者想了解更多关于我、使用我有什么问题，尽管问！😊\\\\n\\\\n现在，你想和我聊聊什么呢？\\\",\\\"reasoning_content\\\":\\\"\\\\n嗯，用户问了一个非常基础但也很重要的问题——“你是谁？”这通常是用户第一次接触我时的开场白，可能带着好奇和试探的心态。用户可能想知道我的功能、背景，甚至是能否信任我。\\\\n\\\\n从问题的简洁程度来看，用户可能是个新手，对AI助手不太熟悉，或者想快速确认我的定位。也可能是个老用户，想测试我的回答一致性。不过无论如何，第一印象很重要，回答需要既清晰又友好。\\\\n\\\\n用户可能没说出来的深层需求包括：想知道我能帮ta做什么、是否收费、回答是否可靠等。虽然ta只问了身份，但我会在介绍中自然带出功能，这样既回答了表面问题，也解决了潜在疑问。\\\\n\\\\n考虑到用户可能对技术细节不感兴趣，我会用生活化的语言介绍，避免术语。同时要传递出“我是来帮忙的”这种态度，用表情符号增加亲和力，但不要过度——毕竟有些用户可能反感太情感化的机器。\\\\n\\\\n对了，中文用户居多，回答要用他们熟悉的场景举例，比如夸夸、解题这类接地气的功能。最后用开放性问题结尾，把对话主动权交还给用户，这样最自然。\\\\n\\\"},\\\"finish_reason\\\":\\\"stop\\\"}],\\\"usage\\\":{\\\"prompt_tokens\\\":11,\\\"completion_tokens\\\":489,\\\"total_tokens\\\":500,\\\"completion_tokens_details\\\":{\\\"reasoning_tokens\\\":251}},\\\"system_fingerprint\\\":\\\"\\\"}\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "tooluse_yusMDgLDv9Yqatw17U8mAy"
    },
    {
      "role": "assistant",
      "content": "## 测试结果：✅ 模型可用\n\n**测试详情：**\n\n| 项目 | 内容 |\n|------|------|\n| API 端点 | https://api.siliconflow.cn/v1/chat/completions |\n| 模型 | deepseek-ai/DeepSeek-R1-0528-Qwen3-8B |\n| 测试问题 | \"你是谁？请简单介绍一下自己。\" |\n| 状态 | ✅ 成功响应 |\n\n**模型回复摘要：**\n\n模型自称是 **DeepSeek-R1**，介绍了自己的能力包括：\n- 回答百科知识问题\n- 写文章、公文、求职信\n- 提供生活建议\n- 解析题目、讲解作业\n- 创意策划、文案美化\n- 聊天陪伴、情绪支持\n\n**Token 使用情况：**\n- 输入 tokens: 11\n- 输出 tokens: 489（其中推理 tokens: 251）\n- 总计: 500 tokens\n\n**结论：** 硅基流动 API 的 `deepseek-ai/DeepSeek-R1-0528-Qwen3-8B` 模型工作正常，可以正常接收请求并返回完整响应。",
      "reasoning": "测试成功了！模型正常回复。让我总结一下结果。\n",
      "finish_reason": "stop",
      "reasoning_content": "测试成功了！模型正常回复。让我总结一下结果。\n"
    }
  ]
}