152 lines
5.3 KiB
Plaintext
152 lines
5.3 KiB
Plaintext
# Rename this file to .env once you have filled in the below environment variables!
|
||
|
||
# Get your GROQ API Key here -
|
||
# https://console.groq.com/keys
|
||
# You only need this environment variable set if you want to use Groq models
|
||
GROQ_API_KEY=
|
||
|
||
# Get your HuggingFace API Key here -
|
||
# https://huggingface.co/settings/tokens
|
||
# You only need this environment variable set if you want to use HuggingFace models
|
||
HuggingFace_API_KEY=
|
||
|
||
|
||
# Get your Open AI API Key by following these instructions -
|
||
# https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key
|
||
# You only need this environment variable set if you want to use GPT models
|
||
OPENAI_API_KEY=
|
||
|
||
# Get your Anthropic API Key in your account settings -
|
||
# https://console.anthropic.com/settings/keys
|
||
# You only need this environment variable set if you want to use Claude models
|
||
ANTHROPIC_API_KEY=
|
||
|
||
# Get your OpenRouter API Key in your account settings -
|
||
# https://openrouter.ai/settings/keys
|
||
# You only need this environment variable set if you want to use OpenRouter models
|
||
OPEN_ROUTER_API_KEY=
|
||
|
||
# Get your Google Generative AI API Key by following these instructions -
|
||
# https://console.cloud.google.com/apis/credentials
|
||
# You only need this environment variable set if you want to use Google Generative AI models
|
||
GOOGLE_GENERATIVE_AI_API_KEY=
|
||
|
||
# You only need this environment variable set if you want to use oLLAMA models
|
||
# DONT USE http://localhost:11434 due to IPV6 issues
|
||
# USE EXAMPLE http://127.0.0.1:11434
|
||
OLLAMA_API_BASE_URL=
|
||
|
||
# You only need this environment variable set if you want to use OpenAI Like models
|
||
OPENAI_LIKE_API_BASE_URL=
|
||
|
||
# You only need this environment variable set if you want to use Together AI models
|
||
TOGETHER_API_BASE_URL=
|
||
|
||
# You only need this environment variable set if you want to use DeepSeek models through their API
|
||
DEEPSEEK_API_KEY=
|
||
|
||
# Get your OpenAI Like API Key
|
||
OPENAI_LIKE_API_KEY=
|
||
|
||
# Get your Together API Key
|
||
TOGETHER_API_KEY=
|
||
|
||
# You only need this environment variable set if you want to use Hyperbolic models
|
||
#Get your Hyperbolics API Key at https://app.hyperbolic.xyz/settings
|
||
#baseURL="https://api.hyperbolic.xyz/v1/chat/completions"
|
||
HYPERBOLIC_API_KEY=
|
||
HYPERBOLIC_API_BASE_URL=
|
||
|
||
# Get your Mistral API Key by following these instructions -
|
||
# https://console.mistral.ai/api-keys/
|
||
# You only need this environment variable set if you want to use Mistral models
|
||
MISTRAL_API_KEY=
|
||
|
||
# Get the Cohere Api key by following these instructions -
|
||
# https://dashboard.cohere.com/api-keys
|
||
# You only need this environment variable set if you want to use Cohere models
|
||
COHERE_API_KEY=
|
||
|
||
# Get LMStudio Base URL from LM Studio Developer Console
|
||
# Make sure to enable CORS
|
||
# DONT USE http://localhost:1234 due to IPV6 issues
|
||
# Example: http://127.0.0.1:1234
|
||
LMSTUDIO_API_BASE_URL=
|
||
|
||
# Get your xAI API key
|
||
# https://x.ai/api
|
||
# You only need this environment variable set if you want to use xAI models
|
||
XAI_API_KEY=
|
||
|
||
# Get your Perplexity API Key here -
|
||
# https://www.perplexity.ai/settings/api
|
||
# You only need this environment variable set if you want to use Perplexity models
|
||
PERPLEXITY_API_KEY=
|
||
|
||
# Get your AWS configuration
|
||
# https://console.aws.amazon.com/iam/home
|
||
# The JSON should include the following keys:
|
||
# - region: The AWS region where Bedrock is available.
|
||
# - accessKeyId: Your AWS access key ID.
|
||
# - secretAccessKey: Your AWS secret access key.
|
||
# - sessionToken (optional): Temporary session token if using an IAM role or temporary credentials.
|
||
# Example JSON:
|
||
# {"region": "us-east-1", "accessKeyId": "yourAccessKeyId", "secretAccessKey": "yourSecretAccessKey", "sessionToken": "yourSessionToken"}
|
||
AWS_BEDROCK_CONFIG=
|
||
|
||
# 是否开启文件日志
|
||
USAGE_LOG_FILE=false
|
||
# Include this environment variable if you want more logging for debugging locally
|
||
LOG_LEVEL=debug
|
||
|
||
# Example Context Values for qwen2.5-coder:32b
|
||
#
|
||
# DEFAULT_NUM_CTX=32768 # Consumes 36GB of VRAM
|
||
# DEFAULT_NUM_CTX=24576 # Consumes 32GB of VRAM
|
||
# DEFAULT_NUM_CTX=12288 # Consumes 26GB of VRAM
|
||
# DEFAULT_NUM_CTX=6144 # Consumes 24GB of VRAM
|
||
DEFAULT_NUM_CTX=
|
||
|
||
# Get your Serper API Key https://serper.dev/
|
||
SERPER_API_KEY=
|
||
|
||
# Get your Weather API Key https://www.weatherapi.com/my/
|
||
WEATHER_API_KEY=
|
||
|
||
# LLM Configuration Options
|
||
|
||
# Default LLM provider to use (e.g.,OpenAILike,OpenAI, Anthropic, Mistral)
|
||
LLM_DEFAULT_PROVIDER=
|
||
|
||
# 生成页面所使用的 MODEL（应该与 LLM_DEFAULT_PROVIDER 相对应）
|
||
LLM_DEFAULT_MODEL=
|
||
|
||
# 用于辅助页面生成所使用的 MODEL，例如总结和预分析。（应该与 LLM_DEFAULT_PROVIDER 相对应）
|
||
LLM_MINOR_MODEL=
|
||
|
||
# Comma-separated list of enabled providers (empty means all providers)
|
||
# Example: OpenAILike,OpenAI,Anthropic,Mistral
|
||
LLM_ENABLED_PROVIDERS=
|
||
|
||
# Logto 集成所需环境变量
|
||
# Logto 地址
|
||
LOGTO_ENDPOINT=
|
||
# Logto 应用 ID
|
||
LOGTO_APP_ID=
|
||
# Logto 应用密钥
|
||
LOGTO_APP_SECRET=
|
||
# 应用基础 URL，根据实际部署环境修改
|
||
LOGTO_BASE_URL=http://localhost:5173
|
||
# 随机任意的 36 位字符串，用于加密 Logto 的 cookie。
|
||
LOGTO_COOKIE_SECRET=
|
||
# 是否在开发环境中启用 Logto 认证，设置为 false 则在开发环境不强制认证
|
||
LOGTO_ENABLE=false
|
||
# 运行环境，与 NODE_ENV 有所不同， NODE_ENV 在打包时就已确定，而此变量用于某些功能在不同环境下的开放
|
||
# development | production | test
|
||
OPERATING_ENV=production
|
||
|
||
# 资源文件存储位置
|
||
STORAGE_DIR=/public/uploads
|
||
# 附件上传的最大大小
|
||
MAX_UPLOAD_SIZE_MB=5
|