# ReelForge Configuration Example
# 复制此文件为 config.yaml 并填入你的配置

# Project name
project_name: ReelForge

# ==================== LLM Configuration ====================
# Simple 3-field configuration - works with any OpenAI SDK compatible LLM
#
# Popular choices (copy one of these):
#
# Qwen Max (推荐中文):
#   api_key: "sk-xxx"
#   base_url: "https://dashscope.aliyuncs.com/compatible-mode/v1"
#   model: "qwen-max"
#   # Get API key: https://dashscope.console.aliyun.com/apiKey
#
# OpenAI GPT-4o:
#   api_key: "sk-xxx"
#   base_url: "https://api.openai.com/v1"
#   model: "gpt-4o"
#   # Get API key: https://platform.openai.com/api-keys
#
# Claude Sonnet 4:
#   api_key: "sk-ant-xxx"
#   base_url: "https://api.anthropic.com/v1/"
#   model: "claude-sonnet-4-5"
#   # Get API key: https://console.anthropic.com/settings/keys
#
# DeepSeek (超高性价比):
#   api_key: "sk-xxx"
#   base_url: "https://api.deepseek.com"
#   model: "deepseek-chat"
#   # Get API key: https://platform.deepseek.com/api_keys
#
# Ollama (本地免费):
#   api_key: "ollama"  # Any value works
#   base_url: "http://localhost:11434/v1"
#   model: "llama3.2"
#   # Install: https://ollama.com/download
#   # Then: ollama pull llama3.2
#
llm:
  api_key: ""  # Fill in your API key
  base_url: ""  # LLM API endpoint
  model: ""  # Model name

# ==================== TTS Configuration ====================
tts:
  default: edge
  
  # Edge TTS - Free, good quality
  edge:
    # No configuration needed
  
  # Azure TTS - Premium quality (optional)
  # azure:
  #   api_key: your_azure_key
  #   region: eastus
  #   voice: zh-CN-XiaoxiaoNeural

# ==================== Image Generation Configuration ====================
image:
  default: comfykit
  
  # ComfyKit - Local or cloud ComfyUI
  comfykit:
    comfyui_url: http://127.0.0.1:8188  # Local ComfyUI server
    # runninghub_api_key: ""             # Optional: RunningHub cloud API key

# ==================== External MCP Servers (Optional) ====================
mcp_servers: []
  # Example: Add custom MCP server
  # - name: custom_llm_server
  #   url: http://localhost:8080/mcp
  #   protocol: sse
  #   enabled: true
  #   description: My custom LLM server
  
  # Example: Add Pixelle MCP server
  # - name: pixelle
  #   url: http://localhost:8888/mcp
  #   protocol: sse
  #   enabled: false
  #   description: Pixelle image generation

# ==================== Notes ====================
# 1. LLM Configuration:
#    - Simple 3-field config: api_key, base_url, model
#    - Works with ANY OpenAI SDK compatible LLM
#    - Popular choices listed in comments above
#    - Switch LLM: just copy-paste different values from comments
#    - WebUI provides quick preset selection
#
# 2. Ollama (Recommended for Privacy):
#    - FREE: No API costs
#    - PRIVATE: Data never leaves your machine
#    - Install: https://ollama.com/download
#    - Usage: ollama pull llama3.2
#
# 3. Security:
#    - Never commit config.yaml to version control
#    - All sensitive data (API keys) should stay local