[app]
    project_version="0.7.8"

    # LLM API 超时配置（秒）
    llm_vision_timeout = 120  # 视觉模型基础超时时间
    llm_text_timeout = 180    # 文本模型基础超时时间（解说文案生成等复杂任务需要更长时间）
    llm_max_retries = 3       # API 重试次数

    ##########################################
    # 🚀 LLM 配置 - 使用 OpenAI 兼容统一接口
    ##########################################
    # 统一使用 OpenAI 兼容协议（/v1/chat/completions）
    # 支持接入 OpenAI、DeepSeek、Gemini 兼容网关、Qwen 网关、SiliconFlow、OpenRouter 等。

    # ===== 视觉模型配置 =====
    vision_llm_provider = "openai"

    # 模型格式：provider/model_name
    # 常用视觉模型示例：
    #   - Gemini: gemini/gemini-2.0-flash-lite (推荐，速度快成本低)
    #   - Gemini: gemini/gemini-1.5-pro (高精度)
    #   - OpenAI: gpt-4o, gpt-4o-mini
    #   - Qwen: qwen/qwen2.5-vl-32b-instruct
    #   - SiliconFlow: siliconflow/Qwen/Qwen2.5-VL-32B-Instruct
    vision_openai_model_name = "Qwen/Qwen3.5-122B-A10B"
    vision_openai_api_key = ""  # 填入对应 provider 的 API key
    vision_openai_base_url = "https://api.siliconflow.cn/v1"  # 可选：自定义 API base URL（官方 OpenAI 可留空）
    vision_openai_temperature = 1.0
    vision_openai_top_p = 0.95
    vision_openai_max_tokens = 65536
    vision_openai_thinking_level = "auto"  # auto/off/low/medium/high

    # ===== 文本模型配置 =====
    text_llm_provider = "openai"

    # 常用文本模型示例：
    #   - DeepSeek: deepseek/deepseek-chat (推荐，性价比高)
    #   - DeepSeek: deepseek/deepseek-reasoner (推理能力强)
    #   - Gemini: gemini/gemini-2.0-flash (速度快)
    #   - OpenAI: gpt-4o, gpt-4o-mini, gpt-4-turbo
    #   - Qwen: qwen/qwen-plus, qwen/qwen-turbo
    #   - SiliconFlow: siliconflow/deepseek-ai/DeepSeek-R1
    #   - Moonshot: moonshot/moonshot-v1-8k
    text_openai_model_name = "Pro/zai-org/GLM-5"
    text_openai_api_key = ""  # 填入对应 provider 的 API key
    text_openai_base_url = "https://api.siliconflow.cn/v1"  # 可选：自定义 API base URL（官方 OpenAI 可留空）
    text_openai_temperature = 1.0
    text_openai_top_p = 0.95
    text_openai_max_tokens = 65536
    text_openai_thinking_level = "auto"  # auto/off/low/medium/high

    # ===== Tavily 联网搜索配置 =====
    # 用于短剧剧情理解前，按短剧名称检索公开剧情/人物/分集信息
    tavily_api_key = ""  # 获取地址：https://app.tavily.com
    tavily_search_depth = "basic"  # basic / advanced / fast / ultra-fast
    tavily_max_results = 5

    # ===== API Keys 参考 =====
    # 主流 LLM Providers API Key 获取地址：
    #
    # OpenAI:       https://platform.openai.com/api-keys
    # Gemini:       https://makersuite.google.com/app/apikey
    # DeepSeek:     https://platform.deepseek.com/api_keys
    # Qwen (阿里):  https://bailian.console.aliyun.com/?tab=model#/api-key
    # SiliconFlow:  https://cloud.siliconflow.cn/account/ak (手机号注册)
    # Moonshot:     https://platform.moonshot.cn/console/api-keys
    # Anthropic:    https://console.anthropic.com/settings/keys
    # Cohere:       https://dashboard.cohere.com/api-keys
    # Together AI:  https://api.together.xyz/settings/api-keys

    ##########################################
    # 🔧 高级配置（可选）
    ##########################################

    # WebUI 界面是否显示配置项
    hide_config = true

    # FFmpeg 引擎路径（可选）
    # 为空时使用系统 PATH；也可以在系统设置中通过下拉框选择整合包或本机 ffmpeg。
    ffmpeg_path = ""

    # 官方 OpenAI 默认端点（可选）：
    # text_openai_base_url = "https://api.openai.com/v1"

##########################################
# TTS (文本转语音) 配置
##########################################

[azure]
    # Azure TTS 配置
    # 获取密钥：https://portal.azure.com
    speech_key = ""
    speech_region = ""

[tencent]
    # 腾讯云 TTS 配置
    # 访问 https://console.cloud.tencent.com/cam/capi 获取密钥
    secret_id = ""
    secret_key = ""
    region = "ap-beijing"  # 地域配置

[soulvoice]
    # SoulVoice TTS API 配置
    api_key = ""
    voice_uri = "speech:mcg3fdnx:clzkyf4vy00e5qr6hywum4u84:bzznlkuhcjzpbosexitr"
    api_url = "https://tts.scsmtech.cn/tts"
    model = "FunAudioLLM/CosyVoice2-0.5B"

[tts_qwen]
    # 通义千问 Qwen3 TTS 配置
    # 访问 https://bailian.console.aliyun.com/?tab=model#/api-key 获取你的 API 密钥
    api_key = ""
    model_name = "qwen3-tts-flash"

[fun_asr]
    # Fun-ASR 字幕转录配置
    # backend = "local" 使用本地 FunASR-Pack API；backend = "firered" 使用本地 FireRedASR2-AED-Pack API；backend = "bailian" 使用阿里百炼在线 fun-asr
    auto_transcribe_enabled = false
    backend = "local"
    api_url = "http://127.0.0.1:7860"
    firered_api_url = "http://127.0.0.1:7867"
    hotword = ""
    enable_spk = false
    # 使用阿里百炼在线 fun-asr 时，访问 https://bailian.console.aliyun.com/?tab=model#/api-key 获取 API Key
    api_key = ""
    model = "fun-asr"

[indextts]
    # IndexTTS-1.5 语音克隆配置
    # 这是一个开源的零样本语音克隆项目，需要自行部署
    # 项目地址：https://github.com/index-tts/index-tts
    # 默认 API 地址（本地部署）
    api_url = "http://127.0.0.1:8081/tts"

    # 默认参考音频（可选）
    reference_audio_source = "resource"
    # reference_audio = "/path/to/reference_audio.wav"

    # 推理模式：普通推理 / 快速推理
    infer_mode = "普通推理"

    # 高级参数
    temperature = 1.0
    top_p = 0.8
    top_k = 30
    do_sample = true
    num_beams = 3
    repetition_penalty = 10.0

[indextts2]
    # IndexTTS-2 语音克隆配置
    # 支持 IndexTTS2-Pack FastAPI 接口：POST /tts
    api_url = "http://192.168.3.6:7863/tts"

    # 默认参考音频（可选），音色列表复用 IndexTTS-1.5 的资源目录
    reference_audio_source = "resource"
    # reference_audio = "/path/to/reference_audio.wav"

    # 情感控制：speaker / audio / vector / text
    emotion_mode = "speaker"
    emotion_audio = ""
    emotion_alpha = 0.65
    emotion_text = ""
    use_random = false
    max_text_tokens_per_segment = 120

    # 8 维情感向量，顺序：happy, angry, sad, afraid, disgusted, melancholic, surprised, calm
    vec_happy = 0.0
    vec_angry = 0.0
    vec_sad = 0.0
    vec_afraid = 0.0
    vec_disgusted = 0.0
    vec_melancholic = 0.0
    vec_surprised = 0.0
    vec_calm = 0.8

    # 高级生成参数
    temperature = 0.8
    top_p = 0.8
    top_k = 30
    num_beams = 3
    repetition_penalty = 10.0
    max_mel_tokens = 1500

[omnivoice]
    # OmniVoice-Pack 语音合成配置
    # 支持 OmniVoice-Pack FastAPI 接口：POST /tts
    api_url = "http://127.0.0.1:7866/tts"
    language = "zh"

    # 生成模式：auto / voice_design / voice_clone
    mode = "auto"
    instruct = ""

    # voice_clone 模式下使用，音色列表复用 IndexTTS-1.5 的资源目录
    reference_audio_source = "resource"
    reference_audio = ""
    ref_text = ""

    # 高级生成参数
    num_step = 32
    guidance_scale = 2.0
    speed = 1.0
    duration = ""
    denoise = true
    postprocess_output = true
    preprocess_prompt = true

[doubaotts]
    # 豆包语音 TTS 配置
    # 申请流程：
    # 1. 打开 https://console.volcengine.com/iam/keymanage 新建 Access Key 和 Secret Key
    # 2. 打开 https://www.volcengine.com/product/voice-tech 点击立即使用
    # 3. 在 API 服务中心找到音频生成下面的语音合成，获取 APPID 和 Token
    ak = ""
    sk = ""
    appid = ""
    token = ""
    cluster = "volcano_tts"
    
    # 高级参数
    volume = 1.0
    pitch = 1.0
    silence_duration = 0.125

[ui]
    # TTS引擎选择 (indextts, indextts2, omnivoice, edge_tts, qwen3_tts, tencent_tts, doubaotts, azure_speech)
    tts_engine = "indextts"

    # Edge TTS 配置
    edge_voice_name = "zh-CN-XiaoyiNeural-Female"
    edge_volume = 80
    edge_rate = 1.0
    edge_pitch = 0

    # Azure Speech Services 配置
    azure_voice_name = "zh-CN-XiaoyiNeural-Female"
    azure_volume = 80
    azure_rate = 1.0
    azure_pitch = 0
    
    # 豆包语音 TTS 配置
    doubaotts_voice_type = "BV700_V2_streaming"
    doubaotts_rate = 1.0

    # 字幕遮罩配置：用于在烧录新字幕前遮盖原视频自带字幕
    subtitle_mask_enabled = false
    subtitle_mask_landscape_x_percent = 10
    subtitle_mask_landscape_y_percent = 78
    subtitle_mask_landscape_width_percent = 80
    subtitle_mask_landscape_height_percent = 14
    subtitle_mask_landscape_blur_radius = 18
    subtitle_mask_landscape_opacity_percent = 82
    subtitle_mask_portrait_x_percent = 8
    subtitle_mask_portrait_y_percent = 79
    subtitle_mask_portrait_width_percent = 84
    subtitle_mask_portrait_height_percent = 16
    subtitle_mask_portrait_blur_radius = 26
    subtitle_mask_portrait_opacity_percent = 84
    subtitle_position_landscape_y_percent = 85
    subtitle_position_portrait_y_percent = 82

##########################################
# 代理和网络配置
##########################################

[proxy]
    # HTTP/HTTPS 代理配置（如需要）
    # clash 默认地址：http://127.0.0.1:7890
    http = ""
    https = ""
    enabled = false

##########################################
# 视频处理配置
##########################################

[frames]
    # 提取关键帧的间隔时间（秒）
    frame_interval_input = 3

    # 大模型单次处理的关键帧数量
    vision_batch_size = 10

    # 视觉批处理最大并发批次数（OpenAI 兼容 provider）
    vision_max_concurrency = 2