OpenAI DALL-E Image Generation (khanon/oai-reverse-proxy!52)
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# The title displayed on the info page.
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# SERVER_TITLE=Coom Tunnel
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# Model requests allowed per minute per user.
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# MODEL_RATE_LIMIT=4
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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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# CHECK_KEYS=true
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# Which model types users are allowed to access.
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# If you want to restrict access to certain models, uncomment the line below and list only the models you want to allow,
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# separated by commas. By default, all models are allowed. The following model families are recognized:
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# turbo | gpt4 | gpt4-32k | gpt4-turbo | claude | bison | aws-claude
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# ALLOWED_MODEL_FAMILIES=turbo,gpt4-turbo,aws-claude
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# The following model families are recognized:
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# turbo | gpt4 | gpt4-32k | gpt4-turbo | dall-e | claude | bison | aws-claude
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# By default, all models are allowed except for 'dall-e'. To allow DALL-E image
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# generation, uncomment the line below and add 'dall-e' to the list.
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# ALLOWED_MODEL_FAMILIES=turbo,gpt4,gpt4-32k,gpt4-turbo,claude,bison,aws-claude
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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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@@ -82,10 +85,18 @@
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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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# DALL-E "tokens" are counted at a rate of 100000 tokens per US$1.00 generated,
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# 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_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_DALL_E=0
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# TOKEN_QUOTA_CLAUDE=0
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# TOKEN_QUOTA_BISON=0
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# TOKEN_QUOTA_AWS_CLAUDE=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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