包含 extensions、skills、prompts、settings、auth、models、mcp 等配置。 排除 node_modules、npm 缓存、sessions 等运行时数据。
215 lines
12 KiB
Plaintext
215 lines
12 KiB
Plaintext
# ─────────────────────────────────────────────────────────────
|
||
# Image Generation Configuration / 图片生成配置
|
||
# ─────────────────────────────────────────────────────────────
|
||
|
||
# This file is an optional fallback config source for image_gen.py.
|
||
# Current process environment variables take precedence over this file.
|
||
# 当前文件是 image_gen.py 的可选 fallback 配置来源。
|
||
# 当前进程环境变量优先于这个文件。
|
||
#
|
||
# Resolution order (only the FIRST existing file is read; keys are NOT merged across files):
|
||
# 1. ./.env in your current working directory
|
||
# 2. <skill-dir>/.env (skill install, e.g. ~/.agents/skills/ppt-master/.env)
|
||
# 3. <repo-root>/.env (when running from a clone)
|
||
# 4. ~/.ppt-master/.env (user-level config)
|
||
# 查找顺序(只读第一个存在的文件,多个 .env 之间不合并):
|
||
# 1. 当前工作目录下的 ./.env
|
||
# 2. skill 安装目录下的 .env(如 ~/.agents/skills/ppt-master/.env)
|
||
# 3. 仓库根目录下的 .env(仅在 clone 模式下)
|
||
# 4. ~/.ppt-master/.env(用户级配置)
|
||
|
||
# Active backend (required) / 当前启用后端(必需)
|
||
# Recommended core backends: openai / gemini / qwen / zhipu / volcengine
|
||
# 推荐核心后端:openai / gemini / qwen / zhipu / volcengine
|
||
# IMAGE_BACKEND=openai
|
||
|
||
# Max concurrent requests in --manifest batch mode (default 3).
|
||
# Auto-halves on rate-limit; 1 is the serial fallback.
|
||
# --manifest 批量模式下的最大并发数(默认 3)。命中限流自动减半,最低 1(=串行)。
|
||
# IMAGE_CONCURRENCY=3
|
||
|
||
# You may also provide the same variables directly via the current process environment.
|
||
# 也可以不写 .env,而是直接通过当前运行进程的环境变量提供同样的配置。
|
||
|
||
# IMPORTANT:
|
||
# - IMAGE_API_KEY / IMAGE_MODEL / IMAGE_BASE_URL are no longer supported.
|
||
# - Use provider-specific keys only.
|
||
# 重要:
|
||
# - 不再支持 IMAGE_API_KEY / IMAGE_MODEL / IMAGE_BASE_URL。
|
||
# - 请只使用各提供商自己的变量。
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Example: OpenAI / OpenAI 示例 (recommended / 推荐)
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=openai
|
||
# OPENAI_API_KEY=sk-xxx
|
||
# OPENAI_MODEL=gpt-image-2
|
||
# OPENAI_BASE_URL=http://127.0.0.1:3000/v1
|
||
# OpenAI-compatible providers may need these compatibility knobs.
|
||
# OpenAI-compatible 第三方平台可按需开启以下兼容参数。
|
||
# OPENAI_SIZE_PRESET=auto
|
||
# OPENAI_RESPONSE_FORMAT=auto
|
||
# OPENAI_QUALITY=auto
|
||
# Allowed values: png / jpeg / webp
|
||
# OPENAI_OUTPUT_FORMAT=png
|
||
# jpeg/webp only, 0-100
|
||
# OPENAI_OUTPUT_COMPRESSION=80
|
||
# gpt-image-2: auto / opaque
|
||
# OPENAI_BACKGROUND=auto
|
||
# auto / low
|
||
# OPENAI_MODERATION=auto
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Example: Gemini / Gemini 示例
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=gemini
|
||
# GEMINI_API_KEY=your-gemini-api-key
|
||
# GEMINI_MODEL=gemini-3.1-flash-image-preview
|
||
# GEMINI_BASE_URL=https://your-proxy-url.com
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Example: MiniMax / MiniMax 示例
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=minimax
|
||
# MINIMAX_API_KEY=your-minimax-key
|
||
# MINIMAX_MODEL=image-01
|
||
# Default China endpoint / 默认国内地址
|
||
# MINIMAX_BASE_URL=https://api.minimaxi.com/v1/image_generation
|
||
# Optional overseas endpoint / 可选海外地址
|
||
# MINIMAX_BASE_URL=https://api.minimax.io/v1/image_generation
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Example: Qwen / 通义生图示例
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=qwen
|
||
# QWEN_API_KEY=your-dashscope-key
|
||
# QWEN_MODEL=qwen-image-2.0-pro
|
||
# QWEN_BASE_URL=https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Example: Zhipu / 智谱生图示例
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=zhipu
|
||
# ZHIPU_API_KEY=your-zhipu-key
|
||
# ZHIPU_MODEL=glm-image
|
||
# ZHIPU_BASE_URL=https://open.bigmodel.cn/api/paas/v4/images/generations
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Example: Volcengine / 火山引擎示例
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=volcengine
|
||
# VOLCENGINE_API_KEY=your-volcengine-key
|
||
# VOLCENGINE_MODEL=doubao-seedream-4-5-251128
|
||
# VOLCENGINE_BASE_URL=https://operator.las.cn-beijing.volces.com/api/v1/images/generations
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Extended / Experimental backends
|
||
# 扩展 / 实验后端
|
||
# ─────────────────────────────────────────────────────────────
|
||
# STABILITY_API_KEY=your-stability-key
|
||
# STABILITY_MODEL=stable-image-core
|
||
# STABILITY_BASE_URL=https://api.stability.ai
|
||
#
|
||
# BFL_API_KEY=your-bfl-key
|
||
# BFL_MODEL=flux-pro-1.1-ultra
|
||
# BFL_BASE_URL=https://api.bfl.ai
|
||
#
|
||
# IDEOGRAM_API_KEY=your-ideogram-key
|
||
# IDEOGRAM_MODEL=ideogram-v3
|
||
# IDEOGRAM_BASE_URL=https://api.ideogram.ai
|
||
#
|
||
# MINIMAX_API_KEY=your-minimax-key
|
||
# MINIMAX_MODEL=image-01
|
||
# Default China endpoint / 默认国内地址
|
||
# MINIMAX_BASE_URL=https://api.minimaxi.com/v1/image_generation
|
||
# Optional overseas endpoint / 可选海外地址
|
||
# MINIMAX_BASE_URL=https://api.minimax.io/v1/image_generation
|
||
#
|
||
# SILICONFLOW_API_KEY=your-siliconflow-key
|
||
# SILICONFLOW_MODEL=Qwen/Qwen-Image
|
||
# SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1/images/generations
|
||
#
|
||
# FAL_KEY=your-fal-key
|
||
# FAL_MODEL=fal-ai/imagen3/fast
|
||
# FAL_BASE_URL=https://fal.run
|
||
#
|
||
# REPLICATE_API_TOKEN=r8_xxx
|
||
# REPLICATE_MODEL=black-forest-labs/flux-1.1-pro
|
||
# REPLICATE_BASE_URL=https://api.replicate.com/v1/predictions
|
||
#
|
||
# OPENROUTER_API_KEY=sk-or-v1-xxx
|
||
# OPENROUTER_MODEL=google/gemini-3.1-flash-image-preview
|
||
# OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
|
||
#
|
||
# OpenAI-compatible example: Agnes AI / OpenAI-compatible 示例:Agnes AI
|
||
# IMAGE_BACKEND=openai
|
||
# OPENAI_API_KEY=your-agnes-key
|
||
# OPENAI_MODEL=agnes-image-2.1-flash
|
||
# OPENAI_BASE_URL=https://apihub.agnes-ai.com/v1
|
||
# OPENAI_SIZE_PRESET=gpt-image-2
|
||
# OPENAI_RESPONSE_FORMAT=omit
|
||
# OPENAI_QUALITY=omit
|
||
#
|
||
# IMAGE_BACKEND=modelscope
|
||
# MODELSCOPE_API_KEY=your-modelscope-key
|
||
# MODELSCOPE_MODEL=Tongyi-MAI/Z-Image-Turbo
|
||
# MODELSCOPE_BASE_URL=https://api-inference.modelscope.cn/v1
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Multi-provider example / 多提供商共存示例
|
||
# ─────────────────────────────────────────────────────────────
|
||
# IMAGE_BACKEND=openai
|
||
# OPENAI_API_KEY=sk-xxx
|
||
# OPENAI_MODEL=gpt-image-2
|
||
# OPENAI_OUTPUT_FORMAT=png
|
||
# GEMINI_API_KEY=your-gemini-api-key
|
||
# GEMINI_MODEL=gemini-3.1-flash-image-preview
|
||
#
|
||
# Switch providers by changing IMAGE_BACKEND only.
|
||
# 切换提供商时,只改 IMAGE_BACKEND 即可。
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Audio narration TTS (notes_to_audio.py) / 旁白音频 TTS
|
||
# ─────────────────────────────────────────────────────────────
|
||
# edge-tts is the default narration backend and needs no API key.
|
||
# Use cloud providers only when you want high-quality or cloned voices —
|
||
# all four (ElevenLabs / MiniMax / Qwen / CosyVoice) accept a cloned voice_id.
|
||
# Clone the voice in the provider's console first, then pass --voice-id to
|
||
# notes_to_audio.py. See docs/audio-narration.md "Use a cloned voice".
|
||
# edge-tts 是默认旁白后端,无需 API Key。
|
||
# 需要高质量云端旁白或复刻音色时再配置云端提供商——
|
||
# ElevenLabs / MiniMax / Qwen / CosyVoice 四家都支持传入复刻 voice_id。
|
||
# 先在 provider 控制台复刻得到 voice_id,再用 --voice-id 传给 notes_to_audio.py。
|
||
# 详见 docs/zh/audio-narration.md "使用复刻音色"。
|
||
#
|
||
# ELEVENLABS_API_KEY=your-elevenlabs-api-key
|
||
# MINIMAX_API_KEY=your-minimax-key
|
||
# QWEN_API_KEY=your-dashscope-key
|
||
# COSYVOICE_API_KEY=your-dashscope-key
|
||
# DASHSCOPE_API_KEY=your-dashscope-key
|
||
#
|
||
# Optional provider-specific TTS endpoint overrides.
|
||
# 可选:按提供商覆盖 TTS 接入点。
|
||
# Default China endpoint / 默认国内地址
|
||
# MINIMAX_TTS_BASE_URL=https://api.minimaxi.com/v1/t2a_v2
|
||
# Optional overseas endpoint / 可选海外地址
|
||
# MINIMAX_TTS_BASE_URL=https://api.minimax.io/v1/t2a_v2
|
||
# QWEN_TTS_BASE_URL=https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
|
||
# COSYVOICE_TTS_BASE_URL=https://dashscope.aliyuncs.com/api/v1/services/audio/tts/SpeechSynthesizer
|
||
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Web image search (image_search.py) / 网络图片搜索
|
||
# ─────────────────────────────────────────────────────────────
|
||
# Used by scripts/image_search.py — separate from IMAGE_BACKEND above.
|
||
# image_search.py 用,与上面的 IMAGE_BACKEND 互不影响。
|
||
#
|
||
# Openverse and Wikimedia work with no key, but image quality can be uneven.
|
||
# For polished stock-style PPT images, configure Pexels and/or Pixabay.
|
||
# Openverse 和 Wikimedia 无需 Key,但图片质量不稳定。
|
||
# 如需更稳定的商业图库风格 PPT 配图,建议配置 Pexels 和/或 Pixabay。
|
||
#
|
||
# Sign up: https://www.pexels.com/api/
|
||
# PEXELS_API_KEY=your-pexels-key
|
||
# Sign up: https://pixabay.com/api/docs/
|
||
# PIXABAY_API_KEY=your-pixabay-key
|