# FAM-Edge 配置文件 (Oracle 端) # 复制此文件为 config.yaml 并修改实际值 # NAS 端回调地址 nas: webhook_url: "http://100.x.x.10:8000/api/core/callback/event" media_base_url: "http://100.x.x.10:8000/media" media_token: "xxx" # Oracle 端服务 server: host: "0.0.0.0" port: 5000 max_concurrent_tasks: 1 # 关键帧筛选参数(自适应:帧数随视频时长动态计算) video: candidate_per_minute: 2 # 每分钟粗抽候选帧数 candidate_min: 30 # 候选帧下限(短视频保底) candidate_max: 120 # 候选帧上限(超长视频截断) key_frame_interval_sec: 150 # 关键帧间隔(秒),每2.5分钟1张 min_key_frames: 5 # 关键帧下限(帧差不足时补足到此数) max_key_frames_floor: 8 # 关键帧上限的下限(短视频保底) max_key_frames_cap: 30 # 关键帧上限(超长视频截断) mse_threshold: 500 # 帧差阈值 jpeg_quality: 80 max_long_edge: 1024 # 超时(秒) timeout: download: 60 vlm_visual: 240 # 单模型视觉分析超时 vlm_fusion: 120 callback: 30 overall: 600 # 模型清单(可扩展,新增模型只需在此数组加一项 + 实现适配器) models: - provider: "ollama" enabled: true model_name: "llava-phi3" base_url: "http://localhost:11434" timeout: 240 num_predict: 500 # 最大生成 token 数(ARM 上建议限制以控制延迟) circuit_breaker: enabled: false # 本地模型不启用熔断 threshold: 5 cooldown: 900 - provider: "gemini" enabled: true model_name: "gemini-1.5-flash" api_key: "${GEMINI_API_KEY}" # 从环境变量读取 timeout: 8 circuit_breaker: enabled: true threshold: 5 cooldown: 900 # v1.1 扩展示例(取消注释并填入 API Key 即启用) # - provider: "openai" # enabled: false # model_name: "gpt-4o" # api_key: "${OPENAI_API_KEY}" # timeout: 30 # circuit_breaker: # enabled: true # threshold: 5 # cooldown: 900 # - provider: "nvidia" # role: "vision" # enabled: true # # Omni 模型原生支持视频输入(video_url),适配器自动按关键帧时间点 # # 截取片段拼集锦后单次调用;失败自动降级逐帧图片模式 # model_name: "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning" # api_key: "${NVIDIA_API_KEY}" # base_url: "https://integrate.api.nvidia.com/v1" # timeout: 120 # reasoning 模型视频推理较慢,勿低于 90 # circuit_breaker: # enabled: true # threshold: 5 # cooldown: 900