pref: simplified AI provider's settings
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LIlGG
172
.env.example
172
.env.example
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# Rename this file to .env once you have filled in the below environment variables!
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# Get your GROQ API Key here -
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# https://console.groq.com/keys
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# You only need this environment variable set if you want to use Groq models
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GROQ_API_KEY=
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# Get your HuggingFace API Key here -
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# https://huggingface.co/settings/tokens
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# You only need this environment variable set if you want to use HuggingFace models
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HuggingFace_API_KEY=
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# Get your Open AI API Key by following these instructions -
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# https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key
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# You only need this environment variable set if you want to use GPT models
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OPENAI_API_KEY=
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# Get your Anthropic API Key in your account settings -
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# https://console.anthropic.com/settings/keys
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# You only need this environment variable set if you want to use Claude models
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ANTHROPIC_API_KEY=
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# Get your OpenRouter API Key in your account settings -
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# https://openrouter.ai/settings/keys
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# You only need this environment variable set if you want to use OpenRouter models
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OPEN_ROUTER_API_KEY=
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# Get your Google Generative AI API Key by following these instructions -
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# https://console.cloud.google.com/apis/credentials
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# You only need this environment variable set if you want to use Google Generative AI models
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GOOGLE_GENERATIVE_AI_API_KEY=
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# You only need this environment variable set if you want to use oLLAMA models
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# DONT USE http://localhost:11434 due to IPV6 issues
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# USE EXAMPLE http://127.0.0.1:11434
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OLLAMA_API_BASE_URL=
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# You only need this environment variable set if you want to use OpenAI Like models
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OPENAI_LIKE_API_BASE_URL=
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# You only need this environment variable set if you want to use Together AI models
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TOGETHER_API_BASE_URL=
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# You only need this environment variable set if you want to use DeepSeek models through their API
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DEEPSEEK_API_KEY=
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# Get your OpenAI Like API Key
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OPENAI_LIKE_API_KEY=
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# Get your Together API Key
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TOGETHER_API_KEY=
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# You only need this environment variable set if you want to use Hyperbolic models
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#Get your Hyperbolics API Key at https://app.hyperbolic.xyz/settings
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#baseURL="https://api.hyperbolic.xyz/v1/chat/completions"
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HYPERBOLIC_API_KEY=
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HYPERBOLIC_API_BASE_URL=
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# Get your Mistral API Key by following these instructions -
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# https://console.mistral.ai/api-keys/
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# You only need this environment variable set if you want to use Mistral models
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MISTRAL_API_KEY=
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# Get the Cohere Api key by following these instructions -
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# https://dashboard.cohere.com/api-keys
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# You only need this environment variable set if you want to use Cohere models
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COHERE_API_KEY=
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# Get LMStudio Base URL from LM Studio Developer Console
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# Make sure to enable CORS
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# DONT USE http://localhost:1234 due to IPV6 issues
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# Example: http://127.0.0.1:1234
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LMSTUDIO_API_BASE_URL=
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# Get your xAI API key
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# https://x.ai/api
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# You only need this environment variable set if you want to use xAI models
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XAI_API_KEY=
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# Get your Perplexity API Key here -
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# https://www.perplexity.ai/settings/api
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# You only need this environment variable set if you want to use Perplexity models
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PERPLEXITY_API_KEY=
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# Get your AWS configuration
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# https://console.aws.amazon.com/iam/home
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# The JSON should include the following keys:
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# - region: The AWS region where Bedrock is available.
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# - accessKeyId: Your AWS access key ID.
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# - secretAccessKey: Your AWS secret access key.
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# - sessionToken (optional): Temporary session token if using an IAM role or temporary credentials.
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# Example JSON:
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# {"region": "us-east-1", "accessKeyId": "yourAccessKeyId", "secretAccessKey": "yourSecretAccessKey", "sessionToken": "yourSessionToken"}
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AWS_BEDROCK_CONFIG=
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# 是否开启文件日志
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USAGE_LOG_FILE=false
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# Whether to enable file logging
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USAGE_LOG_FILE=true
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# Include this environment variable if you want more logging for debugging locally
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LOG_LEVEL=debug
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# Operating environment, different from NODE_ENV. NODE_ENV is determined at build time, while this variable is used for enabling certain features in different environments
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# development | production | test
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OPERATING_ENV=production
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# Resource file storage location
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STORAGE_DIR=/public/uploads
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# Maximum upload size for attachments
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MAX_UPLOAD_SIZE_MB=5
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# Example Context Values for qwen2.5-coder:32b
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#
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@@ -107,45 +19,49 @@ LOG_LEVEL=debug
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# DEFAULT_NUM_CTX=6144 # Consumes 24GB of VRAM
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DEFAULT_NUM_CTX=
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# LLM Configuration Options
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# Enabled model providers, currently supporting Anthropic, Cohere, Deepseek, Google, Groq, HuggingFace, Hyperbolic, Mistral, Ollama, OpenAI, OpenRouter, OpenAILike, Perplexity, xAI, Together, LMStudio, AmazonBedrock, Github
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LLM_PROVIDER=
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# BASE URL of the current model provider, some providers require this to be set, such as OpenAILike, Ollama, LMStudio
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# DONT USE http://localhost:11434 due to IPV6 issues
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# USE EXAMPLE http://127.0.0.1:11434
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PROVIDER_BASE_URL=
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# API KEY of the current provider, used to request the model API. Some providers do not require this to be set.
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# Specifically, if the model provider is AmazonBedrock, this should be a JSON string, reference:
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# https://console.aws.amazon.com/iam/home
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# The JSON should include the following keys:
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# - region: The AWS region where Bedrock is available.
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# - accessKeyId: Your AWS access key ID.
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# - secretAccessKey: Your AWS secret access key.
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# - sessionToken (optional): Temporary session token if using an IAM role or temporary credentials.
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# Example JSON:
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# {"region": "us-east-1", "accessKeyId": "yourAccessKeyId", "secretAccessKey": "yourSecretAccessKey", "sessionToken": "yourSessionToken"}
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PROVIDER_API_KEY=
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# MODEL used for page generation (should correspond to LLM_DEFAULT_PROVIDER)
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LLM_DEFAULT_MODEL=
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# MODEL used for auxiliary page generation, such as summarization and pre-analysis. (should correspond to LLM_DEFAULT_PROVIDER)
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LLM_MINOR_MODEL=
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# Get your Serper API Key https://serper.dev/
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SERPER_API_KEY=
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# Get your Weather API Key https://www.weatherapi.com/my/
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WEATHER_API_KEY=
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# LLM Configuration Options
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# Default LLM provider to use (e.g.,OpenAILike,OpenAI, Anthropic, Mistral)
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LLM_DEFAULT_PROVIDER=
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# 生成页面所使用的 MODEL（应该与 LLM_DEFAULT_PROVIDER 相对应）
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LLM_DEFAULT_MODEL=
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# 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）
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LLM_MINOR_MODEL=
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# Comma-separated list of enabled providers (empty means all providers)
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# Example: OpenAILike,OpenAI,Anthropic,Mistral
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LLM_ENABLED_PROVIDERS=
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# Logto 集成所需环境变量
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# Logto 地址
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# Environment variables required for Logto integration
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# Logto endpoint
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LOGTO_ENDPOINT=
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# Logto 应用 ID
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# Logto application ID
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LOGTO_APP_ID=
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# Logto 应用密钥
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# Logto application secret
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LOGTO_APP_SECRET=
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# 应用基础 URL，根据实际部署环境修改
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# Application base URL, modify according to actual deployment environment
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LOGTO_BASE_URL=http://localhost:5173
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# 随机任意的 36 位字符串，用于加密 Logto 的 cookie。
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# Random 36-character string, used to encrypt Logto cookies.
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LOGTO_COOKIE_SECRET=
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# 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
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LOGTO_ENABLE_DEV=false
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# 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
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# development | production | test
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OPERATING_ENV=production
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# 资源文件存储位置
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STORAGE_DIR=/public/uploads
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# 附件上传的最大大小
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MAX_UPLOAD_SIZE_MB=5
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# Whether to enable Logto authentication in development environment, set to false to not enforce authentication in development
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LOGTO_ENABLE=false
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