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# =============================================================================
# AI 图像生成模型配置 / AI Image Generation Model Configuration
# =============================================================================
# 说明：配置您想使用的 AI 模型的 API Key 和相关参数
# Note: Configure API keys and parameters for the AI models you want to use
#
# 只需配置您想使用的模型即可，未配置的模型将不会显示在选择器中
# Only configure the models you want to use; unconfigured models won't appear
# =============================================================================
# -----------------------------------------------------------------------------
# 1. Google Gemini (推荐 / Recommended)
# -----------------------------------------------------------------------------
# 功能：✅ 图像生成 ✅ 图像编辑 ✅ 换装 ✅ 试衣
# Features: ✅ Image Generation ✅ Image Editing ✅ Outfit Change ✅ Try-on
# 获取 API Key: https://aistudio.google.com/app/apikey
# -----------------------------------------------------------------------------
VITE_GEMINI_API_KEY=your_gemini_api_key_here
VITE_GEMINI_BASE_URL=
# 多个模型用逗号分隔 / Multiple models separated by commas
VITE_GEMINI_MODELS=gemini-2.0-flash,gemini-2.5-pro-image-preview,gemini-3-pro-image-preview,gemini-1.5-flash
# -----------------------------------------------------------------------------
# 3. OpenAI DALL-E
# -----------------------------------------------------------------------------
# 功能：✅ 图像生成 ⚠️ 图像编辑（有限）❌ 试衣
# Features: ✅ Image Generation ⚠️ Image Editing (Limited) ❌ Try-on
# 获取 API Key: https://platform.openai.com/api-keys
# 注意：DALL-E 3 不支持图像编辑，编辑功能使用 DALL-E 2
# -----------------------------------------------------------------------------
VITE_OPENAI_API_KEY=
VITE_OPENAI_BASE_URL=
# 单个模型配置
# VITE_OPENAI_MODEL=dall-e-3
# 多个模型配置（用逗号分隔）
# 模型选项: dall-e-3, dall-e-2
VITE_OPENAI_MODELS=dall-e-3,dall-e-2
# -----------------------------------------------------------------------------
# 2. Qwen / 通义千问 (阿里云)
# -----------------------------------------------------------------------------
# 功能：✅ 图像生成 ✅ 图像编辑 ⚠️ 换装（有限）
# Features: ✅ Image Generation ✅ Image Editing ⚠️ Outfit Change (Limited)
# 获取 API Key: https://dashscope.console.aliyun.com/apiKey
# 文档: https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-wanxiang
# -----------------------------------------------------------------------------
VITE_QWEN_API_KEY=your_qwen_api_key_here
VITE_QWEN_BASE_URL=https://dashscope.aliyuncs.com/api/v1
# 单个模型配置（如果只使用一个模型）
# Single model configuration (if using only one model)
# VITE_QWEN_MODEL=wanx-v1
# 多个模型配置（推荐，用逗号分隔）
# Multiple models configuration (recommended, comma-separated)
# 模型选项: wanx-v1, wan2.5-i2i-preview, qwen-image
VITE_QWEN_MODELS=wanx-v1,wan2.5-i2i-preview
# -----------------------------------------------------------------------------
# 4. Midjourney (第三方 API)
# -----------------------------------------------------------------------------
# 功能：✅ 图像生成 ❌ 图像编辑 ❌ 换装 ❌ 试衣
# Features: ✅ Image Generation ❌ Image Editing ❌ Outfit Change ❌ Try-on
# 注意：Midjourney 没有官方 API，需使用第三方代理服务
# Note: Midjourney has no official API, requires third-party proxy service
# 推荐服务: goapi.ai, midjourney-api.io, midjourneyapi.xyz
# -----------------------------------------------------------------------------
VITE_MIDJOURNEY_API_KEY=
VITE_MIDJOURNEY_BASE_URL=https://api.midjourneyapi.xyz/v1
# 单个模型配置
# VITE_MIDJOURNEY_MODEL=midjourney
# 多个模型配置（用逗号分隔）
# 模型选项: midjourney, midjourney-v6, niji-6
VITE_MIDJOURNEY_MODELS=midjourney,midjourney-v6,niji-6
# -----------------------------------------------------------------------------
# 5. Flux (via Replicate/Fal.ai)
# -----------------------------------------------------------------------------
# 功能：✅ 图像生成 ❌ 图像编辑 ❌ 换装 ❌ 试衣
# Features: ✅ Image Generation ❌ Image Editing ❌ Outfit Change ❌ Try-on
# 获取 API Key (Replicate): https://replicate.com/account/api-tokens
# 获取 API Key (Fal.ai): https://fal.ai/dashboard/keys
# -----------------------------------------------------------------------------
VITE_FLUX_API_KEY=
VITE_FLUX_BASE_URL=https://api.replicate.com/v1
# 单个模型配置
# VITE_FLUX_MODEL=black-forest-labs/flux-schnell
# 多个模型配置（用逗号分隔）
# 模型选项: black-forest-labs/flux-schnell, black-forest-labs/flux-dev, black-forest-labs/flux-pro
VITE_FLUX_MODELS=black-forest-labs/flux-schnell,black-forest-labs/flux-dev
# =============================================================================
# 功能对比表 / Feature Comparison
# =============================================================================
# 模型 | 生成 | 编辑 | 换装 | 试衣 | 速度 | 质量
# Model | Gen | Edit | Out | Try | Speed | Quality
# -------------|------|------|------|------|-------|--------
# Gemini | ✅ | ✅ | ✅ | ✅ | 快 | 高
# OpenAI | ✅ | ⚠️ | ⚠️ | ❌ | 中 | 高
# Qwen | ✅ | ✅ | ⚠️ | ❌ | 中 | 中
# Midjourney | ✅ | ❌ | ❌ | ❌ | 慢 | 极高
# Flux | ✅ | ❌ | ❌ | ❌ | 快 | 高
# =============================================================================
# Agent 编排与沙箱配置 / Agent Orchestration & Sandbox Configuration
# =============================================================================
# 1. E2B 代码解释器沙箱 (推荐) / E2B Code Interpreter Sandbox (Recommended)
# 功能：✅ 安全执行 Python/JS 代码 ✅ 动态安装包
# Features: ✅ Securely execute Python/JS code ✅ Install packages dynamically
# 获取 API Key: https://e2b.dev/docs
# -----------------------------------------------------------------------------
E2B_API_KEY=
# E2B_SANDBOX_TEMPLATE=base
# 2. 其它工具 / Other Tools
# -----------------------------------------------------------------------------
# TAVILY_API_KEY: 联网搜索 (https://tavily.com)
# TUSHARE_TOKEN: 金融数据 (https://tushare.pro)
TAVILY_API_KEY=
TUSHARE_TOKEN=
# =============================================================================
# Feature Flags / 功能开关
# =============================================================================
# FEATURE_NEW_ORCHESTRATOR: Enable LangGraph-based agent orchestrator (default: true)
# Set to "false" to use legacy orchestrator for rollback
# 启用 LangGraph 代理编排器 (默认: true)，设为 "false" 回滚到旧版
FEATURE_NEW_ORCHESTRATOR=true
# Phase 4.3 SEC-FIX: Super Admin Whitelist
# Comma-separated list of emails allowed to access /admin and /stripe/sync endpoints
# ADMIN_EMAILS=["admin@example.com","sre@example.com"]
# =============================================================================
# Database & Redis / 数据库与缓存
# =============================================================================
# DATABASE_URL: PostgreSQL connection string
# REDIS_URL: Redis connection string for caching and pub/sub
# DATABASE_URL=postgresql://user:pass@localhost:5432/agentosbase
# REDIS_URL=redis://localhost:6379
# =============================================================================
# Milvus Vector Database (RAG) / Milvus 向量数据库
# =============================================================================
# Milvus Standalone 向量数据库，用于知识库 RAG 检索
# Milvus Standalone vector database for knowledge base RAG retrieval
MILVUS_HOST=localhost
MILVUS_PORT=19530
MILVUS_TOKEN=