{
  "tools": [
    {
      "tool_id": "image_stitcher",
      "name": "图片拼接工具",
      "category": "cv",
      "description": "将多张图片按指定方向（水平/垂直/网格）拼接成一张大图。支持间距设置、背景色填充和统一缩放模式。输入支持网络 URL 链接和 Base64，输出直接返回一张拼接成功的干净云端长效外链（URL）。",
      "input_schema": {
        "properties": {
          "background_color": {
            "default": "#FFFFFF",
            "description": "间距填充背景色，十六进制颜色值",
            "type": "string"
          },
          "columns": {
            "default": 2,
            "description": "grid 模式下每行的列数",
            "minimum": 1,
            "type": "integer"
          },
          "direction": {
            "default": "horizontal",
            "description": "拼接方向：horizontal=水平，vertical=垂直，grid=网格",
            "enum": [
              "horizontal",
              "vertical",
              "grid"
            ],
            "type": "string"
          },
          "images": {
            "description": "图片数据源列表，强烈推荐传递 http:// 或 https:// 网络链接！兼容 Base64 编码，至少 2 张",
            "items": {
              "type": "string"
            },
            "minItems": 2,
            "type": "array"
          },
          "resize_mode": {
            "default": "none",
            "description": "缩放模式：none=不缩放，fit_width=统一宽度，fit_height=统一高度",
            "enum": [
              "none",
              "fit_width",
              "fit_height"
            ],
            "type": "string"
          },
          "spacing": {
            "default": 0,
            "description": "图片间距（像素）",
            "minimum": 0,
            "type": "integer"
          }
        },
        "reason": "图片拼接工具输入参数定义",
        "required": [
          "images"
        ],
        "type": "object"
      },
      "output_schema": {
        "properties": {
          "url": {
            "description": "拼接成功的持久化外链",
            "type": "string"
          },
          "width": {
            "description": "结果图宽度（像素）",
            "type": "integer"
          },
          "height": {
            "description": "结果图高度（像素）",
            "type": "integer"
          }
        },
        "reason": "图片拼接工具输出结果定义",
        "required": [
          "image",
          "width",
          "height"
        ],
        "type": "object"
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [],
      "tool_slug_ids": []
    },
    {
      "tool_id": "liblibai_controlnet",
      "name": "LibLib AI 综合生成工具",
      "category": "cv",
      "description": "基于 LibLib AI 开放 API 的万能生成引擎。支持【多路并发控制】：允许在一次请求中同时投喂多个 ControlNet（如同时传入 OpenPose + Canny + Depth），AI 会在同一张图上严格遵守所有控制条件！支持模块：canny(边缘), softedge(软边缘), lineart(线稿), openpose(姿态), depth(深度图), inpaint(蒙版重绘), instantid(换脸)。",
      "input_schema": {
        "type": "object",
        "properties": {
          "mode": {
            "type": "string",
            "description": "单路模式（可选值：text2img, img2img, canny, softedge, lineart, openpose, depth, inpaint, instantid）。如果你想跑多路并发，这个字段可以无视或默认。"
          },
          "prompt": {
            "type": "string",
            "description": "正向提示词"
          },
          "image": {
            "type": "string",
            "description": "单路模式的主参考图（支持 URL/Base64）。"
          },
          "control_nets": {
            "type": "array",
            "description": "【核心魔法】多路控制模型组！在此可同时叠加传入多个控制网参数字典（覆盖外层 mode/image）",
            "items": {
              "type": "object",
              "properties": {
                "mode": {
                  "type": "string",
                  "description": "控制类型: canny, softedge, lineart, openpose, depth"
                },
                "image": {
                  "type": "string",
                  "description": "对应的参考图 URL/Base64"
                },
                "weight": {
                  "type": "number",
                  "description": "控制权重，默认 1.0",
                  "default": 1.0
                }
              },
              "required": [
                "mode",
                "image"
              ]
            }
          },
          "mask_image": {
            "type": "string",
            "description": "蒙版图片来源 (黑白蒙版)，仅用于 mode 为 inpaint 时传入"
          },
          "pose_image": {
            "type": "string",
            "description": "人物姿态参考图来源，仅用于 mode 为 instantid 换脸时传入，指定目标面部朝向或动作"
          },
          "negative_prompt": {
            "type": "string",
            "description": "反向提示词",
            "default": "lowres, bad anatomy, text, error"
          },
          "width": {
            "type": "integer",
            "description": "输出宽度",
            "default": 512
          },
          "height": {
            "type": "integer",
            "description": "输出高度",
            "default": 512
          },
          "steps": {
            "type": "integer",
            "description": "采样步数",
            "default": 20
          },
          "cfg_scale": {
            "type": "number",
            "description": "CFG Scale 提示词引导系数",
            "default": 7.0
          },
          "img_count": {
            "type": "integer",
            "description": "生成图片数量",
            "default": 1
          }
        },
        "required": [
          "mode",
          "prompt"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "生成的图片 URL 列表"
          },
          "task_id": {
            "type": "string",
            "description": "任务 ID"
          },
          "status": {
            "type": "string",
            "description": "任务状态（success/failed/timeout）"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "liblib_ai_group"
      ],
      "tool_slug_ids": []
    },
    {
      "tool_id": "liblib_image_uploader",
      "name": "LibLib Image Uploader",
      "category": "utility",
      "description": "专为将本地图片数据转为持久化云端 URL 构建的老实工具。无论你是给它纯 Base64、带有 data:image 头部的 Base64 都会原封不动传给 Liblib 对象存储，并返回生成的临时网络跨端直连图片 URL（http...），完美解决大模型生图过程中因为超大 Base64 字符撑爆思考上下文的异常限制！只接收 Base64 字符串参数，不要传图片路径。",
      "input_schema": {
        "type": "object",
        "properties": {
          "image_base64": {
            "type": "string",
            "description": "Base64 encoded image data (e.g., data:image/png;base64,iVBORw0...)"
          },
          "filename": {
            "type": "string",
            "description": "Optional filename for extension detection",
            "default": "image.png"
          }
        },
        "required": [
          "image_base64"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "status": {
            "type": "string"
          },
          "url": {
            "type": "string",
            "description": "生成的公共网络临时或永久直连 URL，可原样喂给其它支持 HTTP 图生图组件应用！"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "liblib_ai_group"
      ],
      "tool_slug_ids": []
    },
    {
      "tool_id": "launch_comfy_env",
      "name": "Launch ComfyUI Environment",
      "category": "ai",
      "description": "[🔴 暂时外服不可用] 启动 RunComfy 云端机器并等待就绪。返回 server_id 用于后续 ComfyUI workflow 执行。需要环境变量 RUNCOMFY_USER_ID 和 API_TOKEN。",
      "input_schema": {
        "type": "object",
        "properties": {
          "version_id": {
            "type": "string",
            "description": "RunComfy workflow version ID",
            "default": "90f77137-ba75-400d-870f-204c614ae8a3"
          },
          "server_type": {
            "type": "string",
            "enum": [
              "medium",
              "large",
              "extra-large",
              "2x-large",
              "2xl-turbo"
            ],
            "description": "机器规格",
            "default": "medium"
          },
          "duration": {
            "type": "integer",
            "description": "预估运行时长（秒）",
            "default": 3600
          }
        }
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "server_id": {
            "type": "string",
            "description": "机器唯一标识，用于后续操作"
          },
          "comfy_url": {
            "type": "string",
            "description": "ComfyUI 访问地址"
          },
          "status": {
            "type": "string",
            "description": "机器状态"
          },
          "usage_instruction": {
            "type": "string",
            "description": "使用说明"
          }
        },
        "required": [
          "server_id",
          "comfy_url",
          "status",
          "usage_instruction"
        ]
      },
      "stream_support": false,
      "status": "inactive",
      "backend_runtime": "local",
      "group_ids": [
        "runcomfy_lifecycle"
      ],
      "tool_slug_ids": [
        "comfyui"
      ]
    },
    {
      "tool_id": "runcomfy_workflow_executor",
      "name": "RunComfy Workflow Executor",
      "category": "image_generation",
      "description": "[🔴 暂时外服不可用] 在已就绪的 RunComfy 机器上提交 ComfyUI 工作流，上传输入文件，监听执行状态，下载结果图片（不启动/关闭机器）",
      "input_schema": {
        "type": "object",
        "required": [
          "server_id",
          "workflow_api"
        ],
        "properties": {
          "server_id": {
            "type": "string",
            "description": "已启动的 RunComfy 机器 ID"
          },
          "workflow_api": {
            "type": "object",
            "description": "ComfyUI workflow_api.json 内容（字典格式）"
          },
          "input_files": {
            "type": "array",
            "description": "可选的输入文件列表",
            "items": {
              "type": "object",
              "required": [
                "filename",
                "type",
                "base64_data"
              ],
              "properties": {
                "filename": {
                  "type": "string",
                  "description": "文件名"
                },
                "type": {
                  "type": "string",
                  "description": "文件类型：images/loras/checkpoints/vae/controlnet"
                },
                "base64_data": {
                  "type": "string",
                  "description": "文件的 Base64 编码数据"
                }
              }
            }
          }
        }
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "prompt_id": {
            "type": "string",
            "description": "任务 ID"
          },
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "结果图片的 Base64 数据列表"
          },
          "status": {
            "type": "string",
            "description": "执行状态"
          },
          "server_id": {
            "type": "string",
            "description": "机器 ID"
          }
        }
      },
      "stream_support": false,
      "status": "inactive",
      "backend_runtime": "local",
      "group_ids": [
        "runcomfy_lifecycle"
      ],
      "tool_slug_ids": [
        "comfyui"
      ]
    },
    {
      "tool_id": "runcomfy_stop_env",
      "name": "RunComfy Stop Service",
      "category": "cloud",
      "description": "[🔴 暂时外服不可用] Stop and delete RunComfy server instances to release resources. Works with launch_comfy_env for complete lifecycle management.",
      "input_schema": {
        "type": "object",
        "properties": {
          "server_id": {
            "type": "string",
            "description": "The server ID to stop"
          }
        },
        "required": [
          "server_id"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "server_id": {
            "type": "string",
            "description": "The stopped server ID"
          },
          "status": {
            "type": "string",
            "description": "Deleted, NotFound, or Error"
          },
          "message": {
            "type": "string",
            "description": "Detailed result message"
          }
        }
      },
      "stream_support": false,
      "status": "inactive",
      "backend_runtime": "local",
      "group_ids": [
        "runcomfy_lifecycle"
      ],
      "tool_slug_ids": [
        "comfyui"
      ]
    },
    {
      "tool_id": "ji_meng_add_task",
      "name": "即梦-创建任务",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "[🔴 暂时不可用/停机维护] 提交异步任务到上游（本地服务转发 JI_MENG_API_BASE，POST /add_task）。需配置 tools/local/ji_meng/.env。",
      "input_schema": {
        "type": "object",
        "properties": {
          "task_type": {
            "type": "string",
            "enum": [
              "image",
              "video"
            ],
            "description": "任务类型：图生/文生图或视频"
          },
          "prompt": {
            "type": "string",
            "description": "任务描述 / 提示词"
          },
          "image_url": {
            "type": "string",
            "description": "可选，图生类任务时的参考图 URL"
          }
        },
        "required": [
          "task_type",
          "prompt"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "task_id": {
            "type": "string",
            "description": "任务 ID，用于 ji_meng_query_task"
          },
          "status": {
            "type": "string"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "ji_meng_task_lifecycle"
      ]
    },
    {
      "tool_id": "ji_meng_query_task",
      "name": "即梦-查询任务",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "[🔴 暂时不可用/停机维护] 按 task_id 查询任务状态与结果（本地服务转发上游，POST /query_task）。",
      "input_schema": {
        "type": "object",
        "properties": {
          "task_id": {
            "type": "string",
            "description": "ji_meng_add_task 返回的任务 ID"
          }
        },
        "required": [
          "task_id"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "task_id": {
            "type": "string"
          },
          "status": {
            "type": "string"
          },
          "message": {
            "type": "string"
          },
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "ji_meng_task_lifecycle"
      ]
    },
    {
      "tool_id": "nano_banana",
      "name": "Nano Banana（Gemini 多模态神级图模）",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "通过 Google Gemini 原生大模型生图。它是系统内唯一原生支持【跨模态/多图融合意象生图】的模型！支持在 images 数组里丢进 N 张完全不同的图片（例如：一张人像、一把宝剑、一栋大楼），并在 prompt 中基于这几张图进行超强逻辑融合。强力推荐用来做抽象图生图、无边界的多图概念重组。",
      "input_schema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "提示词（可以明确指代传入的多张图片，进行复杂长文本推理和跨模态生图）"
          },
          "model": {
            "type": "string",
            "description": "模型 ID；省略则使用环境变量 GEMINI_IMAGE_MODEL，默认 gemini-3.1-flash-image-preview。"
          },
          "aspect_ratio": {
            "type": "string",
            "description": "输出宽高比，如 1:1、16:9"
          },
          "image_size": {
            "type": "string",
            "description": "输出规格：512、1K、2K、4K"
          },
          "response_modalities": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "如 [\"TEXT\",\"IMAGE\"]"
          },
          "image_urls": {
            "type": "array",
            "description": "【杀手锏】参考图外链数组！允许同时传入多张关联图片的网络 URL。底层支持自动下载网图整合喂给大模型进行跨特征意象重组。",
            "items": {
              "type": "string"
            }
          }
        },
        "required": [
          "prompt"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "data:mime;base64,... 列表"
          },
          "model": {
            "type": "string",
            "description": "实际调用的模型 ID"
          },
          "text": {
            "type": "string",
            "description": "若返回文本部分则在此汇总"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": []
    },
    {
      "tool_id": "midjourney_submit_job",
      "name": "Midjourney-提交生图任务",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "[🔴 暂时不可用/本地重构中] 提交 Midjourney 生图任务（转发至 MIDJOURNEY_API_BASE/submit_job）。需配置 tools/local/midjourney/.env。mode 为 relaxed 或 fast。",
      "input_schema": {
        "type": "object",
        "properties": {
          "cookie": {
            "type": "string",
            "description": "Midjourney 会话 cookie"
          },
          "prompt": {
            "type": "string",
            "description": "提示词"
          },
          "user_id": {
            "type": "string",
            "description": "用户 ID"
          },
          "mode": {
            "type": "string",
            "enum": [
              "relaxed",
              "fast"
            ],
            "description": "队列模式：relaxed 或 fast"
          }
        },
        "required": [
          "cookie",
          "prompt",
          "user_id",
          "mode"
        ]
      },
      "output_schema": {
        "type": "object",
        "description": "上游返回 JSON，通常含 job_id 或 id",
        "properties": {}
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "midjourney_lifecycle"
      ]
    },
    {
      "tool_id": "midjourney_query_job_status",
      "name": "Midjourney-查询任务状态",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "[🔴 暂时不可用/本地重构中] 查询指定任务状态（转发 MIDJOURNEY_API_BASE/query_job_status）。",
      "input_schema": {
        "type": "object",
        "properties": {
          "cookie": {
            "type": "string",
            "description": "Midjourney 会话 cookie"
          },
          "job_id": {
            "type": "string",
            "description": "submit_job 返回的任务 ID"
          }
        },
        "required": [
          "cookie",
          "job_id"
        ]
      },
      "output_schema": {
        "type": "object",
        "description": "上游状态 JSON，如 status / job_status 等",
        "properties": {}
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "midjourney_lifecycle"
      ]
    },
    {
      "tool_id": "midjourney_get_image_urls",
      "name": "Midjourney-获取结果图链接",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "[🔴 暂时不可用/本地重构中] 根据 job_id 获取 4 张图 URL（转发 MIDJOURNEY_API_BASE/get_image_urls）。",
      "input_schema": {
        "type": "object",
        "properties": {
          "job_id": {
            "type": "string",
            "description": "任务 ID"
          }
        },
        "required": [
          "job_id"
        ]
      },
      "output_schema": {
        "type": "object",
        "description": "上游返回 JSON 或 URL 数组，常见字段 image_urls / urls",
        "properties": {
          "image_urls": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "四张图片链接（字段名以实际服务为准）"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "midjourney_lifecycle"
      ]
    },
    {
      "tool_id": "flux_generate",
      "name": "Flux-多模态生图编辑API",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "基于 APIyi 中转站实现的高级 Flux 图像生成与编辑(图生图/局部重绘)调用。如果只传 prompt 则触发纯文生图；如果传入 image_url (最好配合 flux-kontext-max 模型) 则触发高级图像编辑。一次性返回生成好的图片URL（临时URL，10分钟有效）。",
      "input_schema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "正向提示词。描述图像的视觉内容，越丰富效果越好。"
          },
          "aspect_ratio": {
            "type": "string",
            "description": "图像宽高比。支持从 3:7 (竖版) 到 7:3 (横版) 的连续宽高比范围，如'1:1'(默认), '16:9', '9:16', '3:2', '2:3'。",
            "default": "16:9"
          },
          "model": {
            "type": "string",
            "description": "模型选型。支持 flux-2-flex, flux-2-klein-4b, flux-2-klein-9b, flux-2-max, flux-2-pro, flux-dev, flux-kontext-max, flux-kontext-pro",
            "default": "flux-kontext-pro",
            "enum": [
              "flux-2-flex",
              "flux-2-klein-4b",
              "flux-2-klein-9b",
              "flux-2-max",
              "flux-2-pro",
              "flux-dev",
              "flux-kontext-max",
              "flux-kontext-pro"
            ]
          },
          "seed": {
            "type": "integer",
            "description": "随机种子。固定种子可以保证在相同提示词下重现相同构图结果。"
          },
          "safety_tolerance": {
            "type": "integer",
            "description": "内容安全级别控制，0=最严格，6=最宽松，默认位2",
            "default": 2
          },
          "output_format": {
            "type": "string",
            "description": "输出格式，如'jpeg'或'png'",
            "default": "png",
            "enum": [
              "jpeg",
              "png"
            ]
          },
          "prompt_upsampling": {
            "type": "boolean",
            "description": "是否开启提示词增强。设为true时，AI会自动丰富简短的提示词，改善生图细节。",
            "default": false
          },
          "image_url": {
            "type": "string",
            "description": "参考图网络外链。若传入此项，则引擎切换至图生图（编辑）模式。强烈建议模型选 flux-kontext-max。"
          },
          "mask_url": {
            "type": "string",
            "description": "（选填）蒙版原图外链。必须配合 image_url 使用，白色为需要编辑区域，黑色为保护区域。"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "成功生成的图片URL数组（链接10分钟有效，需使用外部工具抓取下载）"
          },
          "status": {
            "type": "string",
            "description": "结果态"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "flux_apiyi_group"
      ]
    },
    {
      "tool_id": "seedream_generate",
      "name": "SeeDream-4.0图片生成",
      "tool_slug_ids": [],
      "category": "cv",
      "description": "基于 APIyi 中转站实现的 SeeDream 图片生成与编辑接口。若传入 image_url 将触发高级图生图（图像编辑）。",
      "input_schema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "正向提示词。描述图像的视觉内容。"
          },
          "model": {
            "type": "string",
            "description": "使用的模型名。支持4.0, 4.5, 5.0版本",
            "default": "seedream-5-0-260128",
            "enum": [
              "seedream-4-0-250828",
              "seedream-4-5-251128",
              "seedream-5-0-260128"
            ]
          },
          "size": {
            "type": "string",
            "description": "尺寸分辨率。支持精度如 '1024x1024' 或者直传标准如 '1K', '2K', '4K'。",
            "default": "2048x2048"
          },
          "quality": {
            "type": "string",
            "description": "图片质量。'standard' 或 'hd'",
            "default": "hd",
            "enum": [
              "standard",
              "hd"
            ]
          },
          "n": {
            "type": "integer",
            "description": "生成的图片数量",
            "default": 1
          },
          "image_url": {
            "type": "string",
            "description": "参考图网络外链。若传入此项，则引擎切换至图生图（编辑）模式。"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "成功生成的图片URL数组。"
          },
          "status": {
            "type": "string",
            "description": "结果态"
          }
        }
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "seedream_apiyi_group"
      ]
    },
    {
      "tool_id": "runcomfy_check_status",
      "name": "RunComfy Check Status",
      "description": "[🔴 暂时外服不可用] 获取当前用户的 RunComfy 机器列表和状态。可以查看是否已有机房资源，防止重复拉起新机器。",
      "category": "cloud",
      "backend_runtime": "local",
      "group_ids": [
        "runcomfy_lifecycle"
      ],
      "input_schema": {
        "type": "object",
        "properties": {
          "server_id": {
            "type": "string",
            "description": "可选。指定具体机器 ID 查询。为空时查询名下所有机器列表。"
          }
        }
      },
      "output_schema": {
        "type": "object",
        "properties": {
          "total": {
            "type": "integer",
            "description": "存在的机器总量"
          },
          "servers": {
            "type": "array",
            "items": {
              "type": "object"
            },
            "description": "机器状态列表，包括 server_id, current_status, main_service_url 等详细信息"
          }
        },
        "required": [
          "total",
          "servers"
        ]
      },
      "stream_support": false,
      "status": "inactive"
    },
    {
      "name": "LibLib AI 模型搜索",
      "category": "cv",
      "description": "通过关键词搜索 LibLib AI 上的最新或特定风格的大模型（比如国风、二次元、写实等）。成功返回会包括一列推荐模型实体，必须从中提取关键的 versionUuid 以获取后续生图能力。",
      "input_schema": {
        "type": "object",
        "properties": {
          "keyword": {
            "type": "string",
            "description": "搜索关键词（如 二次元, XL, 写实）"
          }
        },
        "required": [
          "keyword"
        ]
      },
      "output_schema": {
        "type": "object"
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "liblib_ai_group"
      ],
      "tool_slug_ids": [],
      "tool_id": "liblibai_model_search"
    },
    {
      "name": "LibLib AI 模型详情",
      "category": "cv",
      "description": "通过检索返回的 uuid 和 version_uuid 读取指定大模型的完整上下文。常用来了解它的详细触发词、生成特点或特定参数推荐。",
      "input_schema": {
        "type": "object",
        "properties": {
          "uuid": {
            "type": "string",
            "description": "核心模型 ID (uuid)"
          },
          "version_uuid": {
            "type": "string",
            "description": "模型版本 ID (version_uuid 或 versionUuid)"
          }
        },
        "required": [
          "uuid",
          "version_uuid"
        ]
      },
      "output_schema": {
        "type": "object"
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "liblib_ai_group"
      ],
      "tool_slug_ids": [],
      "tool_id": "liblibai_model_detail"
    },
    {
      "name": "LibLib AI UUID 匹配规则指南",
      "category": "cv",
      "description": "读取 Liblib AI 模型 UUID 匹配规则和工作流底模使用大全。在生图参数涉及到 templateUuid，或者在组合 checkpoint 和 ControlNet 且不确定对应的 baseType 和匹配值时，调用此工具来阅读核心指南！以防止你的生图因为参数错误而崩溃。",
      "input_schema": {
        "type": "object",
        "properties": {},
        "required": []
      },
      "output_schema": {
        "type": "object"
      },
      "stream_support": false,
      "status": "active",
      "backend_runtime": "local",
      "group_ids": [
        "liblib_ai_group"
      ],
      "tool_slug_ids": [],
      "tool_id": "liblibai_uuid_matching_rules"
    }
  ],
  "version": "2.0"
}