lixiaolong
873a82b0f5
- 移除Ollama相关配置和回退机制，统一使用SGLang作为视觉模型提供商 - 添加IMAGE_ANALYSIS类型支持，允许对多张图片进行分析 - 实现视频分析的详细输出模式，支持紧凑和详细两种结果格式 - 更新环境变量配置，添加VIDEO_MODEL_FRAME_LIMIT和MAX_IMAGE_BYTES - 修改compose配置文件中的上下文长度和内存分配参数 - 重构视频采样逻辑，限制单次请求帧数以优化显存使用 - 更新API接口文档，添加mediaUrls参数和详细输出选项说明 - 添加图像分析相关的依赖库opencv-python-headless - 实现结构化JSON响应格式验证和重试机制
37 lines
919 B
JSON
37 lines
919 B
JSON
{
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"code": "aima.power_video.v1",
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"name": "爱玛测试视频分析",
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"analysisType": "VIDEO_ANALYSIS",
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"promptFile": "prompt.txt",
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"think": false,
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"temperature": 0.1,
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"strategies": {
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"fast": {
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"provider": "sglang",
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"model": "Qwen/Qwen3.8-27B-FP8",
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"sampleFps": 1.0,
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"maxWidth": 896,
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"maxOutputTokens": 512,
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"compactMaxOutputTokens": 256,
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"detailedMaxOutputTokens": 1024,
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"numCtx": 16384,
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"emptyResponseRetries": 1,
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"maxRetryOutputTokens": 4096,
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"keepAlive": "30m"
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},
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"accurate": {
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"provider": "sglang",
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"model": "Qwen/Qwen3.8-27B",
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"sampleFps": 3.0,
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"maxWidth": 1120,
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"maxOutputTokens": 768,
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"compactMaxOutputTokens": 384,
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"detailedMaxOutputTokens": 1536,
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"numCtx": 32768,
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"emptyResponseRetries": 2,
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"maxRetryOutputTokens": 8192,
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"keepAlive": "30m"
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}
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}
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}
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