# Copy this file to `.env` and fill in real credentials:
# cp .env.example .env

# Provider API keys (set the keys for models you plan to run).
# The CLI routes each model to its native SDK based on the model name substring
# (see README Configuration).

# OpenAI (models containing "gpt"; default --reasoning-model is gpt-5.5)
OPENAI_API_KEY=

# Google Gemini (models containing "gemini", e.g. gemini-3.1-pro-preview)
GEMINI_API_KEY=

# Anthropic Claude (models containing "claude", e.g. claude-sonnet-4.6)
ANTHROPIC_API_KEY=

# Optional: Alibaba DashScope / 百炼 for Qwen models (model name contains "qwen").
# Uses OpenAI-compatible Chat Completions API — region must match your API key.
DASHSCOPE_API_KEY=
# China (Beijing), default:
DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
# International (Singapore), uncomment if your key is from that region:
# DASHSCOPE_BASE_URL=https://dashscope-intl.aliyuncs.com/compatible-mode/v1

# Required for web search (https://serper.dev).
SERPER_KEY=

# Optional: solve YouTube age gates or bot checks.
# Export a Netscape-format cookies.txt file and use an absolute path.
# YT_DLP_COOKIES_FILE=/absolute/path/to/cookies.txt

# Optional alternatives for cookie rotation / browser cookies.
# YT_DLP_COOKIES_FILES=/absolute/path/to/cookies1.txt,/absolute/path/to/cookies2.txt
# YT_DLP_COOKIES_DIR=/absolute/path/to/cookie_dir
# YT_DLP_COOKIES_FROM_BROWSER=chrome

# Optional JavaScript runtimes for yt-dlp YouTube challenges.
# Multiple values are comma-separated; absolute paths are allowed.
# YT_DLP_JS_RUNTIMES=node,deno,bun

# Optional runtime tuning.
# FRAME_RESIZE_WORKERS=16
# PIPELINE_LOG_DIR=/absolute/path/to/logs