186 lines
8.2 KiB
Plaintext
186 lines
8.2 KiB
Plaintext
# To customize your server, make a copy of this file to `.env` and edit any
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# values you want to change. Be sure to remove the `#` at the beginning of each
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# line you want to modify.
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# All values have reasonable defaults, so you only need to change the ones you
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# want to override.
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# Use production mode unless you are developing locally.
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NODE_ENV=production
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# ------------------------------------------------------------------------------
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# General settings:
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# The title displayed on the info page.
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# SERVER_TITLE=Coom Tunnel
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# The route name used to proxy requests to APIs, relative to the Web site root.
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# PROXY_ENDPOINT_ROUTE=/proxy
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# Text model requests allowed per minute per user.
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# TEXT_MODEL_RATE_LIMIT=4
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# Image model requests allowed per minute per user.
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# IMAGE_MODEL_RATE_LIMIT=2
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# Max number of context tokens a user can request at once.
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# Increase this if your proxy allow GPT 32k or 128k context
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# MAX_CONTEXT_TOKENS_OPENAI=16384
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# Max number of output tokens a user can request at once.
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# MAX_OUTPUT_TOKENS_OPENAI=400
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# MAX_OUTPUT_TOKENS_ANTHROPIC=400
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# Whether to show the estimated cost of consumed tokens on the info page.
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# SHOW_TOKEN_COSTS=false
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# Whether to automatically check API keys for validity.
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# Note: CHECK_KEYS is disabled by default in local development mode, but enabled
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# by default in production mode.
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# CHECK_KEYS=true
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# Which model types users are allowed to access.
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# The following model families are recognized:
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# turbo | gpt4 | gpt4-32k | gpt4-turbo | gpt4o | o1 | dall-e | claude
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# | claude-opus | gemini-flash | gemini-pro | gemini-ultra | mistral-tiny |
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# | mistral-small | mistral-medium | mistral-large | aws-claude |
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# | aws-claude-opus | gcp-claude | gcp-claude-opus | azure-turbo | azure-gpt4
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# | azure-gpt4-32k | azure-gpt4-turbo | azure-gpt4o | azure-o1 | azure-dall-e
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# By default, all models are allowed except for dall-e and o1.
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# To allow DALL-E image generation, uncomment the line below and add 'dall-e' or
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# 'azure-dall-e' to the list of allowed model families.
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# ALLOWED_MODEL_FAMILIES=turbo,gpt4,gpt4-32k,gpt4-turbo,gpt4o,claude,claude-opus,gemini-flash,gemini-pro,gemini-ultra,mistral-tiny,mistral-small,mistral-medium,mistral-large,aws-claude,aws-claude-opus,gcp-claude,gcp-claude-opus,azure-turbo,azure-gpt4,azure-gpt4-32k,azure-gpt4-turbo,azure-gpt4o
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# Which services can be used to process prompts containing images via multimodal
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# models. The following services are recognized:
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# openai | anthropic | aws | gcp | azure | google-ai | mistral-ai
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# Do not enable this feature unless all users are trusted, as you will be liable
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# for any user-submitted images containing illegal content.
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# By default, no image services are allowed and image prompts are rejected.
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# ALLOWED_VISION_SERVICES=
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# IP addresses or CIDR blocks from which requests will be blocked.
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# IP_BLACKLIST=10.0.0.1/24
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# URLs from which requests will be blocked.
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# BLOCKED_ORIGINS=reddit.com,9gag.com
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# Message to show when requests are blocked.
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# BLOCK_MESSAGE="You must be over the age of majority in your country to use this service."
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# Destination to redirect blocked requests to.
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# BLOCK_REDIRECT="https://roblox.com/"
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# Comma-separated list of phrases that will be rejected. Only whole words are matched.
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# Surround phrases with quotes if they contain commas.
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# Avoid short or common phrases as this tests the entire prompt.
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# REJECT_PHRASES="phrase one,phrase two,"phrase three, which has a comma",phrase four"
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# Message to show when requests are rejected.
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# REJECT_MESSAGE="You can't say that here."
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# Whether prompts should be logged to Google Sheets.
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# Requires additional setup. See `docs/google-sheets.md` for more information.
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# PROMPT_LOGGING=false
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# The port and network interface to listen on.
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# PORT=7860
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# BIND_ADDRESS=0.0.0.0
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# Whether cookies should be set without the Secure flag, for hosts that don't support SSL.
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# USE_INSECURE_COOKIES=false
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# Detail level of logging. (trace | debug | info | warn | error)
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# LOG_LEVEL=info
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# Captcha verification settings. Refer to docs/pow-captcha.md for guidance.
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# CAPTCHA_MODE=none
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# POW_TOKEN_HOURS=24
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# POW_TOKEN_MAX_IPS=2
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# POW_DIFFICULTY_LEVEL=low
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# POW_CHALLENGE_TIMEOUT=30
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# ------------------------------------------------------------------------------
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# Optional settings for user management, access control, and quota enforcement:
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# See `docs/user-management.md` for more information and setup instructions.
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# See `docs/user-quotas.md` to learn how to set up quotas.
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# Which access control method to use. (none | proxy_key | user_token)
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# GATEKEEPER=none
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# Which persistence method to use. (memory | firebase_rtdb)
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# GATEKEEPER_STORE=memory
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# Maximum number of unique IPs a user can connect from. (0 for unlimited)
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# MAX_IPS_PER_USER=0
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# Whether user_tokens should be automatically disabled when reaching the IP limit.
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# MAX_IPS_AUTO_BAN=true
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# With user_token gatekeeper, whether to allow users to change their nickname.
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# ALLOW_NICKNAME_CHANGES=true
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# Default token quotas for each model family. (0 for unlimited)
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# Specify as TOKEN_QUOTA_MODEL_FAMILY=value, replacing dashes with underscores.
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# TOKEN_QUOTA_TURBO=0
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# TOKEN_QUOTA_GPT4=0
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# TOKEN_QUOTA_GPT4_32K=0
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# TOKEN_QUOTA_GPT4_TURBO=0
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# TOKEN_QUOTA_CLAUDE=0
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# TOKEN_QUOTA_GEMINI_PRO=0
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# TOKEN_QUOTA_AWS_CLAUDE=0
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# TOKEN_QUOTA_GCP_CLAUDE=0
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# "Tokens" for image-generation models are counted at a rate of 100000 tokens
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# per US$1.00 generated, which is similar to the cost of GPT-4 Turbo.
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# DALL-E 3 costs around US$0.10 per image (10000 tokens).
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# See `docs/dall-e-configuration.md` for more information.
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# TOKEN_QUOTA_DALL_E=0
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# How often to refresh token quotas. (hourly | daily)
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# Leave unset to never automatically refresh quotas.
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# QUOTA_REFRESH_PERIOD=daily
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# Specifies the number of proxies or load balancers in front of the server.
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# For Cloudflare or Hugging Face deployments, the default of 1 is correct.
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# For any other deployments, please see config.ts as the correct configuration
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# depends on your setup. Misconfiguring this value can result in problems
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# accurately tracking IP addresses and enforcing rate limits.
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# TRUSTED_PROXIES=1
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# ------------------------------------------------------------------------------
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# Secrets and keys:
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# For Huggingface, set them via the Secrets section in your Space's config UI. Dp not set them in .env.
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# For Render, create a "secret file" called .env using the Environment tab.
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# You can add multiple API keys by separating them with a comma.
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# For AWS credentials, separate the access key ID, secret key, and region with a colon.
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# For GCP credentials, separate the project ID, client email, region, and private key with a colon.
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OPENAI_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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ANTHROPIC_KEY=sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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GOOGLE_AI_KEY=AIzaxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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# See `docs/aws-configuration.md` for more information, there may be additional steps required to set up AWS.
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AWS_CREDENTIALS=myaccesskeyid:mysecretkey:us-east-1,anotheraccesskeyid:anothersecretkey:us-west-2
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# See `docs/azure-configuration.md` for more information, there may be additional steps required to set up Azure.
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AZURE_CREDENTIALS=azure-resource-name:deployment-id:api-key,another-azure-resource-name:another-deployment-id:another-api-key
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GCP_CREDENTIALS=project-id:client-email:region:private-key
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# With proxy_key gatekeeper, the password users must provide to access the API.
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# PROXY_KEY=your-secret-key
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# With user_token gatekeeper, the admin password used to manage users.
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# ADMIN_KEY=your-very-secret-key
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# To restrict access to the admin interface to specific IP addresses, set the
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# ADMIN_WHITELIST environment variable to a comma-separated list of CIDR blocks.
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# ADMIN_WHITELIST=0.0.0.0/0
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# With firebase_rtdb gatekeeper storage, the Firebase project credentials.
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# FIREBASE_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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# FIREBASE_RTDB_URL=https://xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.firebaseio.com
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# With prompt logging, the Google Sheets credentials.
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# GOOGLE_SHEETS_SPREADSHEET_ID=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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# GOOGLE_SHEETS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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# Prioritize requests in the queue according to their
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# token count, placing larger requests further back.
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#
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# Punishes requests with a second's delay per 1k tokens
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# when the value is 1.0, two seconds when it's 2, etc.
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# TOKENS_PUNISHMENT_FACTOR=0.0
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