deepagent_webapp/.env.example at main · yy991207/deepagent_webapp · GitHub

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# 阿里云通义千问 API 配置（通过 OpenAI 兼容接口）
OPENAI_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
OPENAI_API_KEY=your-openai-compatible-api-key
# 兼容字段（可选）
# OPENAI_API_BASE=https://api.openai.com/v1

# 默认模型：使用阿里云通义千问
OPENAI_MODEL=qwen-turbo
OPENAI_TEMPERATURE=0.7

# 禁用 LangChain 缓存以避免流式错误
LANGCHAIN_ENABLE_CACHE=false

# LangSmith / LangChain 追踪（可选）
LANGCHAIN_TRACING_V2=false
LANGCHAIN_API_KEY=your-langsmith-api-key
LANGCHAIN_PROJECT=your-langsmith-project
LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
# 新命名变量（可选）：如果你只配置 LANGCHAIN_*，后端会自动补齐到 LANGSMITH_*
# LANGSMITH_TRACING=true
# LANGSMITH_API_KEY=your-langsmith-api-key
# LANGSMITH_PROJECT=your-langsmith-project
# LANGSMITH_ENDPOINT=https://api.smith.langchain.com

# Tavily API 配置（网络搜索）
TAVILY_API_KEY=your-tavily-key

# DashScope Embeddings（用于 RAG 向量化）
DASHSCOPE_API_KEY=your-dashscope-key
RAG_EMBEDDING_PROVIDER=dashscope
RAG_DASHSCOPE_EMBEDDING_MODEL=text-embedding-v2
# RAG 备用配置（可选）
# RAG_HF_EMBEDDING_MODEL=BAAI/bge-small-zh-v1.5
# OPENAI_EMBEDDING_MODEL=text-embedding-3-small

# 播客链路（openai-compatible）
PODCAST_LLM_PROVIDER=openai-compatible
PODCAST_OUTLINE_PROVIDER=openai-compatible
PODCAST_TRANSCRIPT_PROVIDER=openai-compatible
PODCAST_TTS_PROVIDER=edge

PODCAST_LLM_MODEL=qwen-turbo
PODCAST_OUTLINE_MODEL=qwen-turbo
PODCAST_TRANSCRIPT_MODEL=qwen-turbo
PODCAST_TTS_MODEL=neural

# 播客兼容 OpenAI 的专用配置（可选）
# OPENAI_COMPATIBLE_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
# OPENAI_COMPATIBLE_API_KEY=your-openai-compatible-api-key
# PODCAST_EDGE_TTS_VOICE_DEFAULT=zh-CN-XiaoxiaoNeural
# PODCAST_EDGE_TTS_VOICE_ALT=zh-CN-YunyangNeural
# PODCAST_QWEN3_TTS_VOICE_DEFAULT=Cherry
# PODCAST_QWEN3_TTS_VOICE_ALT=Ethan
# DEEPAGENTS_PODCAST_DEBUG=false

# MongoDB
MONGODB_URI=mongodb://127.0.0.1:27017
DEEPAGENTS_MONGO_URL=mongodb://127.0.0.1:27017
DEEPAGENTS_MONGO_DB=deepagents_web

# MongoDB 集合名（播客链路，可选）
# DEEPAGENTS_PODCAST_RUNS_COLLECTION=podcast_runs
# DEEPAGENTS_PODCAST_RESULTS_COLLECTION=podcast_results
# DEEPAGENTS_PODCAST_SPEAKER_PROFILES_COLLECTION=podcast_speaker_profiles
# DEEPAGENTS_PODCAST_EPISODE_PROFILES_COLLECTION=podcast_episode_profiles
# DEEPAGENTS_LOCKS_COLLECTION=deepagents_locks
# DEEPAGENTS_DATA_DIR=./data

# OpenSandbox 远程沙箱配置
OPENSANDBOX_DOMAIN=localhost:8080
OPENSANDBOX_API_KEY=your-opensandbox-api-key
OPENSANDBOX_IMAGE=sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:latest
OPENSANDBOX_REQUEST_TIMEOUT_SECONDS=10

# 兼容官方示例的环境变量（可选）
# SANDBOX_DOMAIN=localhost:8080
# SANDBOX_API_KEY=your-opensandbox-api-key
# SANDBOX_IMAGE=sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:latest
# SANDBOX_REQUEST_TIMEOUT_SECONDS=10

# MCP 配置（可选）
DEEPAGENTS_MCP_ENABLED=true

# 模型分流（可选）
# ROUTER_LLM_ENABLED=true
# ROUTER_LLM_MODEL=qwen-flash
# ROUTER_LLM_FLASH_MODEL=qwen-flash
# ROUTER_LLM_PLUS_MODEL=qwen-plus
# ROUTER_LLM_MAX_MODEL=qwen3-max-2026-01-23
# ROUTER_LLM_TEMPERATURE=0.1
# ROUTER_LLM_PROMPT=你是一个分流模型\\n只输出 JSON

# 聊天记忆压缩（可选）
# DEEPAGENTS_CHAT_MEMORY_MAX_CHARS=5000
# DEEPAGENTS_CHAT_MEMORY_SUMMARY_MAX_CHARS=500
# DEEPAGENTS_CHAT_MEMORY_SUMMARY_LOCK_TTL_SECONDS=120

# Celery/Redis（播客异步任务，可选）
# REDIS_HOST=localhost
# REDIS_PORT=6379
# REDIS_PASSWORD=
# CELERY_BROKER_DB=0
# CELERY_BACKEND_DB=1
# CELERY_BROKER_URL=redis://localhost:6379/0
# CELERY_RESULT_BACKEND=redis://localhost:6379/1
# CELERY_TASK_TIME_LIMIT=1800
# CELERY_TASK_SOFT_TIME_LIMIT=1500
# CELERY_WORKER_CONCURRENCY=4
# CELERY_WORKER_PREFETCH_MULTIPLIER=1
# CELERY_RESULT_EXPIRES=3600
# CELERY_TIMEZONE=Asia/Shanghai
# PODCAST_AGENT_HOST=0.0.0.0
# PODCAST_AGENT_PORT=8888