| | image: |
| | repository: huggingface |
| | name: chat-ui |
| |
|
| | nodeSelector: |
| | role-hub-utils: "true" |
| |
|
| | tolerations: |
| | - key: CriticalAddonsOnly |
| | operator: Equal |
| |
|
| | serviceAccount: |
| | enabled: true |
| | create: true |
| | name: huggingchat-prod |
| |
|
| | networkPolicy: |
| | enabled: true |
| | allowedBlocks: |
| | - 10.0.252.0/25 |
| | - 10.240.0.0/24 |
| |
|
| | ingress: |
| | path: "/chat" |
| | annotations: |
| | alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" |
| | alb.ingress.kubernetes.io/listen-ports: "[{\"HTTP\": 80}, {\"HTTPS\": 443}]" |
| | alb.ingress.kubernetes.io/group.name: "hub-prod" |
| | alb.ingress.kubernetes.io/scheme: "internet-facing" |
| | alb.ingress.kubernetes.io/ssl-redirect: "443" |
| | alb.ingress.kubernetes.io/tags: "Env=prod,Project=hub,Terraform=true" |
| | alb.ingress.kubernetes.io/target-node-labels: "role-hub-utils=true" |
| | kubernetes.io/ingress.class: "alb" |
| |
|
| | envVars: |
| | ADDRESS_HEADER: 'X-Forwarded-For' |
| | ALTERNATIVE_REDIRECT_URLS: '["huggingchat://login/callback"]' |
| | APP_BASE: "/chat" |
| | ALLOW_IFRAME: "false" |
| | COMMUNITY_TOOLS: "true" |
| | COOKIE_SAMESITE: "lax" |
| | COOKIE_SECURE: "true" |
| | ENABLE_ASSISTANTS: "true" |
| | ENABLE_ASSISTANTS_RAG: "true" |
| | EXPOSE_API: "true" |
| | METRICS_PORT: 5565 |
| | LOG_LEVEL: "debug" |
| | METRICS_ENABLED: "true" |
| | MODELS: > |
| | [ |
| | { |
| | "name": "Qwen/Qwen2.5-72B-Instruct", |
| | "description": "The latest Qwen open model with improved role-playing, long text generation and structured data understanding.", |
| | "modelUrl": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct", |
| | "websiteUrl": "https://qwenlm.github.io/blog/qwen2.5/", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/qwen-logo.png", |
| | "preprompt": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant.", |
| | "parameters": { |
| | "stop": ["<|endoftext|>", "<|im_end|>"], |
| | "temperature": 0.6, |
| | "truncate": 28672, |
| | "max_new_tokens": 3072 |
| | }, |
| | "tools": true, |
| | "promptExamples": [ |
| | { |
| | "title": "Write an email from bullet list", |
| | "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" |
| | }, |
| | { |
| | "title": "Code a snake game", |
| | "prompt": "Code a basic snake game in python, give explanations for each step." |
| | }, |
| | { |
| | "title": "Assist in a task", |
| | "prompt": "How do I make a delicious lemon cheesecake?" |
| | } |
| | ] |
| | }, |
| | { |
| | "name": "meta-llama/Llama-3.3-70B-Instruct", |
| | "id": "meta-llama/Llama-3.3-70B-Instruct", |
| | "description": "Ideal for everyday use. A fast and extremely capable model matching closed source models' capabilities. Now with the latest Llama 3.3 weights!", |
| | "modelUrl": "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct", |
| | "websiteUrl": "https://llama.meta.com/", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/meta-logo.png", |
| | "tools": true, |
| | "preprompt": "", |
| | "parameters": { |
| | "stop": ["<|endoftext|>", "<|eot_id|>"], |
| | "temperature": 0.6, |
| | "max_new_tokens": 1024, |
| | "truncate": 7167 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "Write an email from bullet list", |
| | "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" |
| | }, |
| | { |
| | "title": "Code a snake game", |
| | "prompt": "Code a basic snake game in python, give explanations for each step." |
| | }, |
| | { |
| | "title": "Assist in a task", |
| | "prompt": "How do I make a delicious lemon cheesecake?" |
| | } |
| | ] |
| | }, |
| | { |
| | "name": "CohereForAI/c4ai-command-r-plus-08-2024", |
| | "description": "Cohere's largest language model, optimized for conversational interaction and tool use. Now with the 2024 update!", |
| | "modelUrl": "https://huggingface.co/CohereForAI/c4ai-command-r-plus-08-2024", |
| | "websiteUrl": "https://docs.cohere.com/docs/command-r-plus", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/cohere-logo.png", |
| | "tools": true, |
| | "parameters": { |
| | "stop": ["<|END_OF_TURN_TOKEN|>"], |
| | "truncate": 28672, |
| | "max_new_tokens": 2048, |
| | "temperature": 0.3 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "Generate a mouse portrait", |
| | "prompt": "Generate the portrait of a scientific mouse in its laboratory." |
| | }, |
| | { |
| | "title": "Review a pull request", |
| | "prompt": "Review this pull request: https://github.com/huggingface/chat-ui/pull/1131/files" |
| | }, |
| | { |
| | "title": "Code a snake game", |
| | "prompt": "Code a basic snake game in python, give explanations for each step." |
| | } |
| | ] |
| | }, |
| | { |
| | "name": "Qwen/QwQ-32B-Preview", |
| | "preprompt": "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step.", |
| | "modelUrl": "https://huggingface.co/Qwen/QwQ-32B-Preview", |
| | "websiteUrl": "https://qwenlm.github.io/blog/qwq-32b-preview/", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/qwen-logo.png", |
| | "description": "QwQ is an experiment model from the Qwen Team with advanced reasoning capabilities.", |
| | "reasoning": { |
| | "type": "summarize" |
| | }, |
| | "parameters": { |
| | "stop": ["<|im_end|>"], |
| | "truncate": 12288, |
| | "max_new_tokens": 4096, |
| | "temperature": 0.7, |
| | "top_k": 20, |
| | "top_p": 0.8, |
| | "repetition_penalty": 1.05 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "Rs in strawberry", |
| | "prompt": "how many R in strawberry?" |
| | }, |
| | { |
| | "title": "Larger number", |
| | "prompt": "9.11 or 9.9 which number is larger?" |
| | }, |
| | { |
| | "title": "Measuring 6 liters", |
| | "prompt": "I have a 6- and a 12-liter jug. I want to measure exactly 6 liters." |
| | } |
| | ] |
| | }, |
| | { |
| | "name": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", |
| | "tokenizer": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", |
| | "modelUrl": "https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", |
| | "websiteUrl": "https://www.nvidia.com/", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/nvidia-logo.png", |
| | "description": "Nvidia's latest Llama fine-tune, topping alignment benchmarks and optimized for instruction following.", |
| | "parameters": { |
| | "stop": ["<|eot_id|>", "<|im_end|>"], |
| | "temperature": 0.5, |
| | "truncate": 28672, |
| | "max_new_tokens": 2048 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "Rs in strawberry", |
| | "prompt": "how many R in strawberry?" |
| | }, |
| | { |
| | "title": "Larger number", |
| | "prompt": "9.11 or 9.9 which number is larger?" |
| | }, |
| | { |
| | "title": "Measuring 6 liters", |
| | "prompt": "I have a 6- and a 12-liter jug. I want to measure exactly 6 liters." |
| | } |
| | ], |
| | "endpoints": [{ |
| | "type": "openai", |
| | "baseURL": "https://api-inference.huggingface.co/models/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/v1" |
| | }] |
| | }, |
| | { |
| | "name": "Qwen/Qwen2.5-Coder-32B-Instruct", |
| | "description": "Qwen's latest coding model, in its biggest size yet. SOTA on many coding benchmarks.", |
| | "modelUrl": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct", |
| | "websiteUrl": "https://qwenlm.github.io/blog/qwen2.5-coder-family/", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/qwen-logo.png", |
| | "preprompt": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant.", |
| | "parameters": { |
| | "stop": ["<|im_end|>", "<|endoftext|>"], |
| | "temperature": 0.6, |
| | "truncate": 28672, |
| | "max_new_tokens": 3072 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "To-do list web app", |
| | "prompt": "Create a simple to-do list application where users can:\n- Add new tasks.\n- Mark tasks as complete.\n- Delete completed tasks.\nThe tasks should persist in the browser's local storage so that they remain available even after a page reload.\n" |
| | }, |
| | { |
| | "title": "Create a REST API", |
| | "prompt": "Build a simple REST API using Node.js, TypeScript and Express:\n- POST /items: Accepts a JSON body with name and quantity and adds a new item.\n- GET /items: Returns a list of all items.\n- PUT /items/:id: Updates the name or quantity of an item by its id.\n- DELETE /items/:id: Removes an item by its id.\nUse an in-memory array as the data store (no need for a database). Include basic error handling (e.g., item not found)." |
| | }, |
| | { |
| | "title": "Simple website", |
| | "prompt": "Generate a snazzy static landing page for a local coffee shop using HTML and CSS. You can use tailwind using <script src='https://cdn.tailwindcss.com'></script>." |
| | } |
| | ], |
| | "endpoints": [{ |
| | "type": "openai", |
| | "baseURL": "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1" |
| | }] |
| | }, |
| | { |
| | "name": "meta-llama/Llama-3.2-11B-Vision-Instruct", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/meta-logo.png", |
| | "description": "The latest multimodal model from Meta! Supports image inputs natively.", |
| | "websiteUrl": "https://llama.com/", |
| | "multimodal": true, |
| | "parameters": { |
| | "stop": ["<|eot_id|>", "<|im_end|>"], |
| | "temperature": 0.6, |
| | "truncate": 14336, |
| | "max_new_tokens": 1536 |
| | }, |
| | "endpoints": [{ |
| | "type": "openai", |
| | "baseURL": "https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-11B-Vision-Instruct/v1", |
| | "multimodal": { |
| | "image": { |
| | "maxSizeInMB": 10, |
| | "maxWidth": 560, |
| | "maxHeight": 560, |
| | "supportedMimeTypes": ["image/png", "image/jpeg", "image/webp"], |
| | "preferredMimeType": "image/webp" |
| | } |
| | } |
| | }] |
| | }, |
| | { |
| | "name": "NousResearch/Hermes-3-Llama-3.1-8B", |
| | "description": "Nous Research's latest Hermes 3 release in 8B size. Follows instruction closely.", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/nous-logo.png", |
| | "websiteUrl": "https://nousresearch.com/", |
| | "modelUrl": "https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B", |
| | "tokenizer": "NousResearch/Hermes-3-Llama-3.1-8B", |
| | "promptExamples": [ |
| | { |
| | "title": "Write an email from bullet list", |
| | "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" |
| | }, |
| | { |
| | "title": "Code a snake game", |
| | "prompt": "Code a basic snake game in python, give explanations for each step." |
| | }, |
| | { |
| | "title": "Assist in a task", |
| | "prompt": "How do I make a delicious lemon cheesecake?" |
| | } |
| | ], |
| | "parameters": { |
| | "stop": ["<|im_end|>"], |
| | "temperature": 0.6, |
| | "truncate": 14336, |
| | "max_new_tokens": 1536 |
| | } |
| | }, |
| | { |
| | "name": "mistralai/Mistral-Nemo-Instruct-2407", |
| | "tokenizer": "mistralai/Mistral-Nemo-Instruct-2407", |
| | "displayName": "mistralai/Mistral-Nemo-Instruct-2407", |
| | "description": "A small model with good capabilities in language understanding and commonsense reasoning.", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/mistral-logo.png", |
| | "websiteUrl": "https://mistral.ai/news/mistral-nemo/", |
| | "modelUrl": "https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407", |
| | "preprompt": "", |
| | "parameters": { |
| | "stop": ["</s>"], |
| | "temperature": 0.6, |
| | "truncate": 14336, |
| | "max_new_tokens": 1536 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "Write an email from bullet list", |
| | "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" |
| | }, |
| | { |
| | "title": "Code a snake game", |
| | "prompt": "Code a basic snake game in python, give explanations for each step." |
| | }, |
| | { |
| | "title": "Assist in a task", |
| | "prompt": "How do I make a delicious lemon cheesecake?" |
| | } |
| | ] |
| | }, |
| | { |
| | "name": "microsoft/Phi-3.5-mini-instruct", |
| | "tokenizer": "microsoft/Phi-3.5-mini-instruct", |
| | "description": "One of the best small models (3.8B parameters), super fast for simple tasks.", |
| | "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/microsoft-logo.png", |
| | "modelUrl": "https://huggingface.co/microsoft/Phi-3.5-mini-instruct", |
| | "websiteUrl": "https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/discover-the-new-multi-lingual-high-quality-phi-3-5-slms/ba-p/4225280/", |
| | "preprompt": "", |
| | "parameters": { |
| | "stop": ["<|end|>", "<|endoftext|>", "<|assistant|>"], |
| | "temperature": 0.6, |
| | "truncate": 28672, |
| | "max_new_tokens": 3072 |
| | }, |
| | "promptExamples": [ |
| | { |
| | "title": "Write an email from bullet list", |
| | "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)" |
| | }, |
| | { |
| | "title": "Code a snake game", |
| | "prompt": "Code a basic snake game in python, give explanations for each step." |
| | }, |
| | { |
| | "title": "Assist in a task", |
| | "prompt": "How do I make a delicious lemon cheesecake?" |
| | } |
| | ] |
| | }, |
| | { |
| | "name": "llhf/Meta-Llama-3.1-8B-Instruct", |
| | "parameters": { |
| | "temperature": 0.6, |
| | "stop": ["<|endoftext|>", "<|eot_id|>"] |
| | }, |
| | "unlisted": true |
| | } |
| | ] |
| | |
| | NODE_ENV: "prod" |
| | NODE_LOG_STRUCTURED_DATA: true |
| | OLD_MODELS: > |
| | [ |
| | { "name": "bigcode/starcoder" }, |
| | { "name": "OpenAssistant/oasst-sft-6-llama-30b-xor" }, |
| | { "name": "HuggingFaceH4/zephyr-7b-alpha" }, |
| | { "name": "openchat/openchat_3.5" }, |
| | { "name": "openchat/openchat-3.5-1210" }, |
| | { "name": "tiiuae/falcon-180B-chat" }, |
| | { "name": "codellama/CodeLlama-34b-Instruct-hf" }, |
| | { "name": "google/gemma-7b-it" }, |
| | { "name": "meta-llama/Llama-2-70b-chat-hf" }, |
| | { "name": "codellama/CodeLlama-70b-Instruct-hf" }, |
| | { "name": "openchat/openchat-3.5-0106" }, |
| | { "name": "meta-llama/Meta-Llama-3-70B-Instruct" }, |
| | { "name": "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8" }, |
| | { |
| | "name": "CohereForAI/c4ai-command-r-plus", |
| | "transferTo": "CohereForAI/c4ai-command-r-plus-08-2024" |
| | }, |
| | { |
| | "name": "01-ai/Yi-1.5-34B-Chat", |
| | "transferTo": "CohereForAI/c4ai-command-r-plus-08-2024" |
| | }, |
| | { |
| | "name": "mistralai/Mixtral-8x7B-Instruct-v0.1", |
| | "transferTo": "mistralai/Mistral-Nemo-Instruct-2407" |
| | }, |
| | { |
| | "name": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO", |
| | "transferTo": "NousResearch/Hermes-3-Llama-3.1-8B" |
| | }, |
| | { |
| | "name": "mistralai/Mistral-7B-Instruct-v0.3", |
| | "transferTo": "mistralai/Mistral-Nemo-Instruct-2407" |
| | }, |
| | { |
| | "name": "microsoft/Phi-3-mini-4k-instruct", |
| | "transferTo": "microsoft/Phi-3.5-mini-instruct" |
| | }, |
| | { |
| | "name": "meta-llama/Meta-Llama-3.1-70B-Instruct", |
| | "transferTo": "meta-llama/Llama-3.3-70B-Instruct" |
| | } |
| | ] |
| | PUBLIC_ORIGIN: "https://huggingface.co" |
| | PUBLIC_SHARE_PREFIX: "https://hf.co/chat" |
| | PUBLIC_ANNOUNCEMENT_BANNERS: > |
| | [ |
| | { |
| | "title": "Llama 3.3 70B is now available!", |
| | "linkTitle": "Try it out!", |
| | "linkHref": "https://huggingface.co/chat/models/meta-llama/Llama-3.3-70B-Instruct" |
| | } |
| | ] |
| | PUBLIC_APP_NAME: "HuggingChat" |
| | PUBLIC_APP_ASSETS: "huggingchat" |
| | PUBLIC_APP_COLOR: "yellow" |
| | PUBLIC_APP_DESCRIPTION: "Making the community's best AI chat models available to everyone." |
| | PUBLIC_APP_DISCLAIMER_MESSAGE: "Disclaimer: AI is an area of active research with known problems such as biased generation and misinformation. Do not use this application for high-stakes decisions or advice." |
| | PUBLIC_APP_GUEST_MESSAGE: "You have reached the guest message limit, Sign In with a free Hugging Face account to continue using HuggingChat." |
| | PUBLIC_APP_DATA_SHARING: 0 |
| | PUBLIC_APP_DISCLAIMER: 1 |
| | PUBLIC_PLAUSIBLE_SCRIPT_URL: "/js/script.js" |
| | REQUIRE_FEATURED_ASSISTANTS: "true" |
| | TASK_MODEL: "llhf/Meta-Llama-3.1-8B-Instruct" |
| | TEXT_EMBEDDING_MODELS: > |
| | [{ |
| | "name": "bge-base-en-v1-5-sxa", |
| | "displayName": "bge-base-en-v1-5-sxa", |
| | "chunkCharLength": 512, |
| | "endpoints": [{ |
| | "type": "tei", |
| | "url": "https://huggingchat-tei.hf.space/" |
| | }] |
| | }] |
| | WEBSEARCH_BLOCKLIST: '["youtube.com", "twitter.com"]' |
| | XFF_DEPTH: '2' |
| | TOOLS: > |
| | [ |
| | { |
| | "_id": "000000000000000000000001", |
| | "displayName": "Image Generation", |
| | "description": "Use this tool to generate images based on a prompt.", |
| | "color": "yellow", |
| | "icon": "camera", |
| | "baseUrl": "black-forest-labs/FLUX.1-schnell", |
| | "name": "image_generation", |
| | "endpoint": "/infer", |
| | "inputs": [ |
| | { |
| | "name": "prompt", |
| | "description": "A prompt to generate an image from", |
| | "paramType": "required", |
| | "type": "str" |
| | }, |
| | { "name": "seed", "paramType": "fixed", "value": "0", "type": "float" }, |
| | { |
| | "name": "randomize_seed", |
| | "paramType": "fixed", |
| | "value": "true", |
| | "type": "bool" |
| | }, |
| | { |
| | "name": "width", |
| | "description": "numeric value between 256 and 2048", |
| | "paramType": "optional", |
| | "default": 1024, |
| | "type": "float" |
| | }, |
| | { |
| | "name": "height", |
| | "description": "numeric value between 256 and 2048", |
| | "paramType": "optional", |
| | "default": 1024, |
| | "type": "float" |
| | }, |
| | { |
| | "name": "num_inference_steps", |
| | "paramType": "fixed", |
| | "value": "4", |
| | "type": "float" |
| | } |
| | ], |
| | "outputComponent": "image", |
| | "outputComponentIdx": 0, |
| | "showOutput": true |
| | }, |
| | { |
| | "_id": "000000000000000000000002", |
| | "displayName": "Document Parser", |
| | "description": "Use this tool to parse any document and get its content in markdown format.", |
| | "color": "yellow", |
| | "icon": "cloud", |
| | "baseUrl": "huggingchat/document-parser", |
| | "name": "document_parser", |
| | "endpoint": "/predict", |
| | "inputs": [ |
| | { |
| | "name": "document", |
| | "description": "Filename of the document to parse", |
| | "paramType": "required", |
| | "type": "file", |
| | "mimeTypes": 'application/*' |
| | }, |
| | { |
| | "name": "filename", |
| | "paramType": "fixed", |
| | "value": "document.pdf", |
| | "type": "str" |
| | } |
| | ], |
| | "outputComponent": "textbox", |
| | "outputComponentIdx": 0, |
| | "showOutput": false, |
| | "isHidden": true |
| | }, |
| | { |
| | "_id": "000000000000000000000003", |
| | "name": "edit_image", |
| | "baseUrl": "multimodalart/cosxl", |
| | "endpoint": "/run_edit", |
| | "inputs": [ |
| | { |
| | "name": "image", |
| | "description": "The image path to be edited", |
| | "paramType": "required", |
| | "type": "file", |
| | "mimeTypes": 'image/*' |
| | }, |
| | { |
| | "name": "prompt", |
| | "description": "The prompt with which to edit the image", |
| | "paramType": "required", |
| | "type": "str" |
| | }, |
| | { |
| | "name": "negative_prompt", |
| | "paramType": "fixed", |
| | "value": "", |
| | "type": "str" |
| | }, |
| | { |
| | "name": "guidance_scale", |
| | "paramType": "fixed", |
| | "value": 6.5, |
| | "type": "float" |
| | }, |
| | { |
| | "name": "steps", |
| | "paramType": "fixed", |
| | "value": 30, |
| | "type": "float" |
| | } |
| | ], |
| | "outputComponent": "image", |
| | "showOutput": true, |
| | "displayName": "Image Editor", |
| | "color": "green", |
| | "icon": "camera", |
| | "description": "This tool lets you edit images", |
| | "outputComponentIdx": 0 |
| | } |
| | ] |
| | HF_ORG_ADMIN: '644171cfbd0c97265298aa99' |
| | HF_ORG_EARLY_ACCESS: '5e67bd5b1009063689407478' |
| |
|
| | infisical: |
| | enabled: true |
| | env: "prod-us-east-1" |
| |
|
| | autoscaling: |
| | enabled: true |
| | minReplicas: 12 |
| | maxReplicas: 30 |
| | targetMemoryUtilizationPercentage: "50" |
| | targetCPUUtilizationPercentage: "50" |
| |
|
| | resources: |
| | requests: |
| | cpu: 2 |
| | memory: 4Gi |
| | limits: |
| | cpu: 4 |
| | memory: 8Gi |
| |
|
| | monitoring: |
| | enabled: true |
| |
|
