dev.yaml

image:
  repository: huggingface
  name: chat-ui

#nodeSelector:
#  role-huggingchat: "true"
#
#tolerations:
#  - key: "huggingface.co/huggingchat"
#    operator: "Equal"
#    value: "true"
#    effect: "NoSchedule"

serviceAccount:
  enabled: true
  create: true
  name: huggingchat-ephemeral

ingress:
  enabled: false

ingressInternal:
  enabled: true
  path: "/chat"
  annotations:
    external-dns.alpha.kubernetes.io/hostname: "*.chat-dev.huggingface.tech"
    alb.ingress.kubernetes.io/healthcheck-path: "/chat/healthcheck"
    alb.ingress.kubernetes.io/listen-ports: "[{\"HTTP\": 80}, {\"HTTPS\": 443}]"
    alb.ingress.kubernetes.io/group.name: "chat-dev-internal-public"
    alb.ingress.kubernetes.io/load-balancer-name: "chat-dev-internal-public"
    alb.ingress.kubernetes.io/ssl-redirect: "443"
    alb.ingress.kubernetes.io/tags: "Env=prod,Project=hub,Terraform=true"
    alb.ingress.kubernetes.io/target-group-attributes: deregistration_delay.timeout_seconds=30
    alb.ingress.kubernetes.io/target-type: "ip"
    alb.ingress.kubernetes.io/certificate-arn: "arn:aws:acm:us-east-1:707930574880:certificate/bc3eb446-1c04-432c-ac6b-946a88d725da"
    kubernetes.io/ingress.class: "alb"

envVars:
  TEST: "test"
  COUPLE_SESSION_WITH_COOKIE_NAME: "token"
  OPENID_SCOPES: "openid profile inference-api read-mcp read-billing contribute-repos"
  USE_USER_TOKEN: "true"
  MCP_FORWARD_HF_USER_TOKEN: "true"
  AUTOMATIC_LOGIN: "false"

  ADDRESS_HEADER: "X-Forwarded-For"
  APP_BASE: "/chat"
  ALLOW_IFRAME: "false"
  COOKIE_SAMESITE: "lax"
  COOKIE_SECURE: "true"
  EXPOSE_API: "true"
  METRICS_ENABLED: "true"
  LOG_LEVEL: "debug"
  NODE_LOG_STRUCTURED_DATA: "true"

  OPENAI_BASE_URL: "https://router.huggingface.co/v1"
  PUBLIC_APP_ASSETS: "huggingchat"
  PUBLIC_APP_NAME: "HuggingChat"
  PUBLIC_APP_DESCRIPTION: "Making the community's best AI chat models available to everyone"
  PUBLIC_ORIGIN: ""
  PUBLIC_PLAUSIBLE_SCRIPT_URL: "https://plausible.io/js/pa-Io_oigECawqdlgpf5qvHb.js"
  PUBLIC_FEATURE_ANNOUNCEMENTS: >
    [{"title": "Gemma-4-31B at 700 tokens/s", "description": "Run Gemma-4-31B at 700 tokens/s thanks to Cerebras inference.", "link": "/models/google/gemma-4-31B-it", "cta": "Go to the model", "maxDate": "2026-08-01"}]

  TASK_MODEL: "meta-llama/Llama-3.1-8B-Instruct"
  # Tombstone: unread by current code, kept so any old pod still on the pre-#2265
  # image (which gated Omni on LLM_ROUTER_ARCH_BASE_URL) keeps registering the alias
  # during rollout. Safe to remove once every replica is on the new image.
  LLM_ROUTER_ARCH_BASE_URL: "https://router.huggingface.co/v1"
  LLM_ROUTER_ROUTES_PATH: "build/client/chat/huggingchat/routes.chat.json"
  LLM_ROUTER_ENABLE_MULTIMODAL: "true"
  LLM_ROUTER_MULTIMODAL_MODEL: "moonshotai/Kimi-K2.6"
  LLM_ROUTER_ENABLE_TOOLS: "true"
  LLM_ROUTER_TOOLS_MODEL: "moonshotai/Kimi-K2.6"
  TRANSCRIPTION_MODEL: "openai/whisper-large-v3-turbo"
  MCP_SERVERS: >
    [{"name": "Web Search (Exa)", "url": "https://mcp.exa.ai/mcp?tools=web_search_exa,get_code_context_exa,crawling_exa"}, {"name": "Hugging Face", "url": "https://hf.co/mcp?login"}]
  MCP_TOOL_TIMEOUT_MS: "120000"
  PUBLIC_LLM_ROUTER_DISPLAY_NAME: "Omni"
  PUBLIC_LLM_ROUTER_LOGO_URL: "https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/C5V0v1xZXv6M7FXsdJH9b.png"
  PUBLIC_LLM_ROUTER_ALIAS_ID: "omni"
  MODELS: >
    [
      { "id": "omni", "supportsArtifacts": true },
      { "id": "XiaomiMiMo/MiMo-V2.5-Pro", "description": "1T MoE with 42B active params, hybrid attention, and 1M context.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "moonshotai/Kimi-K2-Thinking", "description": "Trillion-param MoE thinking agent for deep reasoning and sustained tool chains.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16", "description": "BF16 hybrid Mamba-Transformer 550B MoE with 55B active params for agentic reasoning.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "stepfun-ai/Step-3.7-Flash", "description": "Vision-language 198B MoE with 11B active params, reasoning modes, and 256K context.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "deepreinforce-ai/Ornith-1.0-35B", "description": "RL-tuned 35B MoE coding agent with thinking mode and 262K context.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "deepreinforce-ai/Ornith-1.0-35B-FP8", "description": "FP8 Ornith 35B MoE for efficient agentic coding with thinking mode.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "google/gemma-3-12b-it", "description": "Dense 12B multimodal Gemma with 128K context and multilingual support." },
      { "id": "google/gemma-3-4b-it", "description": "Compact 4B multimodal Gemma with 128K context for lightweight tasks." },
      { "id": "microsoft/phi-4", "description": "Dense 14B model with strong math, reasoning, and coding density." },
      { "id": "speakleash/Bielik-11B-v3.0-Instruct", "description": "Polish-language 11B instruction model for chat, writing, and comprehension." },
      { "id": "zai-org/GLM-5.2", "description": "Flagship 744B MoE for agentic engineering with 1M context and thinking modes.", "parameters": { "max_tokens": 98304 }, "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "zai-org/GLM-5.2-FP8", "description": "FP8 GLM-5.2 for efficient agentic engineering and extended reasoning.", "parameters": { "max_tokens": 98304 }, "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "moonshotai/Kimi-K2.7-Code", "description": "1T MoE coding agent with persistent thinking across long tool workflows." , "supportsReasoning": true, "supportsArtifacts": true, "parameters": { "max_tokens": 98304 } },
      { "id": "MiniMaxAI/MiniMax-M3", "description": "Natively multimodal 428B MoE with 1M context for frontier coding and agents." , "supportsReasoning": true, "supportsArtifacts": true, "parameters": { "max_tokens": 98304 } },
      { "id": "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4", "description": "Hybrid Mamba-Transformer 550B MoE with 55B active params for efficient agentic reasoning.", "parameters": { "max_tokens": 98304 }, "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "Qwen/Qwen3.6-27B", "description": "Dense 27B hybrid with DeltaNet attention and 1M context.", "supportsArtifacts": true },
      { "id": "meta-llama/Llama-4-Scout-17B-16E-Instruct", "description": "Native multimodal 17B MoE with 16 experts and very long context."},
      { "id": "CohereLabs/c4ai-command-r7b-12-2024", "description": "Compact 7B Command R for multilingual RAG, tool use, and agents." },
      { "id": "pearl-ai/Gemma-4-31B-it-pearl", "description": "Community Gemma-4-31B variant integrated with Pearl mining for chain-validated inference."},
      { "id": "inclusionAI/Ling-2.6-1T", "description": "1T MoE with 50B active params, hybrid MLA-Linear attention, and fast thinking.", "supportsArtifacts": true },
      { "id": "deepseek-ai/DeepSeek-V4-Pro", "description": "Frontier 1.6T MoE with 49B active params, hybrid attention, and 1M context.", "parameters": { "max_tokens": 98304 }, "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "deepseek-ai/DeepSeek-V4-Flash", "description": "Compact 284B MoE with 13B active params, hybrid attention, and 1M context.", "parameters": { "max_tokens": 49152 }, "supportsArtifacts": true },
      { "id": "deepseek-ai/DeepSeek-V3.2", "description": "Stable 671B MoE with sparse attention for agentic reasoning and long contexts.", "supportsArtifacts": true },
      { "id": "stepfun-ai/Step-3.5-Flash", "description": "Sparse 197B MoE agent with multi-token prediction and 256K context.", "supportsArtifacts": true },
      { "id": "Qwen/Qwen3.6-35B-A3B", "description": "Hybrid 35B MoE with 3B active params, DeltaNet attention, and 1M context.", "supportsArtifacts": true },
      { "id": "zai-org/GLM-4.7-Flash", "description": "Compact 30B MoE for agentic coding with 128K context and tool use.", "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "moonshotai/Kimi-K2.6", "description": "Native multimodal 1T MoE for long-horizon coding and 300-sub-agent swarms.", "supportsArtifacts": true },
      { "id": "MiniMaxAI/MiniMax-M2.7", "description": "Self-evolving 230B MoE agent for frontier coding, reasoning, and tool use." , "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "zai-org/GLM-5.1", "description": "Upgraded 754B MoE for agentic coding, extended reasoning, and tool use.", "parameters": { "max_tokens": 98304 } , "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "zai-org/GLM-5.1-FP8", "description": "FP8 GLM-5.1 for efficient agentic coding and reasoning inference.", "parameters": { "max_tokens": 98304 } , "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "google/gemma-4-31B-it", "description": "Dense multimodal Gemma with 256K context, reasoning, and function calling.", "supportsArtifacts": true},
      { "id": "google/gemma-4-26B-A4B-it", "description": "Efficient multimodal MoE Gemma with 4B active params and 256K context."},
      { "id": "Qwen/Qwen3.5-9B", "description": "Dense multimodal hybrid with 262K context excelling at reasoning on-device."},
      { "id": "CohereLabs/tiny-aya-global", "description": "Tiny multilingual assistant covering 70+ languages for on-device deployment." },
      { "id": "CohereLabs/tiny-aya-earth", "description": "Regional Aya for African languages with culturally tuned on-device inference." },
      { "id": "CohereLabs/tiny-aya-water", "description": "Regional Aya for Asia-Pacific and European multilingual on-device tasks." },
      { "id": "Qwen/Qwen3.5-122B-A10B", "description": "Multimodal MoE excelling at agentic tool use with 1M context and 201 languages.", "supportsArtifacts": true },
      { "id": "Qwen/Qwen3.5-35B-A3B", "description": "Compact multimodal MoE with hybrid DeltaNet, 1M context, and 201 languages.", "supportsArtifacts": true },
      { "id": "Qwen/Qwen3.5-27B", "description": "Dense multimodal hybrid with top-tier reasoning density and 1M context."},
      { "id": "Qwen/Qwen3.5-397B-A17B", "description": "Native multimodal MoE with hybrid attention, 1M context, and 201 languages.", "parameters": { "max_tokens": 32768 } },
      { "id": "MiniMaxAI/MiniMax-M2.5", "description": "Frontier 230B MoE agent for top-tier coding, tool calling, and fast inference." , "supportsReasoning": true },
      { "id": "zai-org/GLM-5", "description": "Flagship 745B MoE for agentic reasoning, coding, and creative writing."},
      { "id": "Qwen/Qwen3-VL-235B-A22B-Instruct", "description": "Flagship Qwen3 vision-language MoE for visual agents, documents, and GUI automation." },
      { "id": "google/gemma-3n-E4B-it", "description": "Mobile-first multimodal Gemma handling text, images, video, and audio on-device." },
      { "id": "Qwen/Qwen3-Coder-Next", "description": "Ultra-sparse coding MoE for repository-scale agents with 256K context." },
      { "id": "moonshotai/Kimi-K2.5", "description": "Native multimodal agent with agent swarms for parallel tool orchestration." },
      { "id": "zai-org/GLM-4.7", "description": "Flagship GLM MoE for coding, reasoning, and agentic tool use." , "supportsReasoning": true },
      { "id": "zai-org/GLM-4.7-FP8", "description": "FP8 GLM-4.7 for efficient inference with strong coding." , "supportsReasoning": true },
      { "id": "MiniMaxAI/MiniMax-M2.1", "description": "MoE agent model with multilingual coding and fast outputs."},
      { "id": "zai-org/AutoGLM-Phone-9B-Multilingual", "description": "Mobile agent for multilingual Android device automation." },
      { "id": "utter-project/EuroLLM-22B-Instruct-2512", "description": "European multilingual model for all EU languages and translation." },
      { "id": "MiniMaxAI/MiniMax-M2", "description": "Compact MoE model tuned for fast coding, agentic workflows, and long-context chat." , "supportsReasoning": true },
      { "id": "Qwen/Qwen3-VL-30B-A3B-Instruct", "description": "Flagship Qwen3 vision-language model for high-accuracy image, text, and video reasoning." },
      { "id": "Qwen/Qwen3-VL-30B-A3B-Thinking", "description": "Thinking-mode Qwen3-VL that emits detailed multimodal reasoning traces for difficult problems."},
      { "id": "Qwen/Qwen3-VL-8B-Instruct", "description": "Smaller Qwen3 vision-language assistant for everyday multimodal chat, captioning, and analysis." },
      { "id": "aisingapore/Qwen-SEA-LION-v4-32B-IT", "description": "SEA-LION v4 Qwen optimized for Southeast Asian languages and regional enterprise workloads." },
      { "id": "allenai/Olmo-3-7B-Instruct", "description": "Lightweight Olmo assistant for instruction following, Q&A, and everyday open-source workflows." },
      { "id": "deepcogito/cogito-671b-v2.1", "description": "Frontier-scale 671B MoE focused on deep reasoning, math proofs, and complex coding."},
      { "id": "deepcogito/cogito-671b-v2.1-FP8", "description": "FP8 Cogito v2.1 making 671B-scale reasoning more affordable to serve and experiment with."},
      { "id": "openai/gpt-oss-safeguard-20b", "description": "Safety-focused gpt-oss variant for content classification, policy enforcement, and LLM output filtering." , "supportsReasoning": true },
      { "id": "zai-org/GLM-4.5", "description": "Flagship GLM agent model unifying advanced reasoning, coding, and tool-using capabilities."},
      { "id": "zai-org/GLM-4.5V-FP8", "description": "FP8 vision-language GLM-4.5V for efficient multilingual visual QA, understanding, and hybrid reasoning."},    
      { "id": "deepseek-ai/DeepSeek-V3.2-Exp", "description": "Experimental V3.2 release focused on faster, lower-cost inference with strong general reasoning and tool use."},
      { "id": "zai-org/GLM-4.6", "description": "Next-gen GLM with very long context and solid multilingual reasoning; good for agents and tools."},
      { "id": "Qwen/Qwen2.5-VL-72B-Instruct", "description": "Flagship multimodal Qwen (text+image) instruction model for high-accuracy visual reasoning and detailed explanations." },
      { "id": "deepseek-ai/DeepSeek-V3.1-Terminus", "description": "Refined V3.1 variant optimized for reliability on long contexts, structured outputs, and tool use."},
      { "id": "Qwen/Qwen3-VL-235B-A22B-Thinking", "description": "Deliberative multimodal Qwen that can produce step-wise visual+text reasoning traces for complex tasks."},
      { "id": "zai-org/GLM-4.6-FP8", "description": "FP8-optimized GLM-4.6 for faster/cheaper deployment with near-parity quality on most tasks."},
      { "id": "zai-org/GLM-4.6V", "description": "106B vision-language model with 128K context and native tool calling for multimodal agents.", "parameters": { "max_tokens": 8192 }},
      { "id": "zai-org/GLM-4.6V-Flash", "description": "9B lightweight vision model for fast local inference with tool calling and UI understanding."},
      { "id": "zai-org/GLM-4.6V-FP8", "description": "FP8-quantized GLM-4.6V for efficient multimodal deployment with native tool use."},
      { "id": "Qwen/Qwen3-235B-A22B-Thinking-2507", "description": "Deliberative text-only 235B Qwen variant for transparent, step-by-step reasoning on hard problems."},
      { "id": "Qwen/Qwen3-Next-80B-A3B-Instruct", "description": "Instruction tuned Qwen for multilingual reasoning, coding, long contexts." },
      { "id": "Qwen/Qwen3-Next-80B-A3B-Thinking", "description": "Thinking mode Qwen that outputs explicit step by step reasoning."},
      { "id": "moonshotai/Kimi-K2-Instruct-0905", "description": "Instruction MoE strong coding and multi step reasoning, long context." },
      { "id": "openai/gpt-oss-20b", "description": "Efficient open model for reasoning and tool use, runs locally." , "supportsReasoning": true },
      { "id": "swiss-ai/Apertus-8B-Instruct-2509", "description": "Open, multilingual, trained on compliant data transparent global assistant." },
      { "id": "openai/gpt-oss-120b", "description": "High performing open model suitable for large scale applications." , "supportsReasoning": true, "supportsArtifacts": true },
      { "id": "Qwen/Qwen3-Coder-30B-A3B-Instruct", "description": "Code specialized Qwen long context strong generation and function calling." },
      { "id": "meta-llama/Llama-3.1-8B-Instruct", "description": "Instruction tuned Llama efficient conversational assistant with improved alignment." },
      { "id": "deepseek-ai/DeepSeek-R1", "description": "MoE reasoning model excels at math, logic, coding with steps."},
      { "id": "swiss-ai/Apertus-70B-Instruct-2509", "description": "Open multilingual model trained on open data transparent and capable." },
      { "id": "Qwen/Qwen3-4B-Instruct-2507", "description": "Compact instruction Qwen great for lightweight assistants and apps." },
      { "id": "Qwen/Qwen3-Coder-480B-A35B-Instruct", "description": "Huge Qwen coder repository scale understanding and advanced generation." },
      { "id": "meta-llama/Meta-Llama-3-8B-Instruct", "description": "Aligned, efficient Llama dependable open source assistant tasks." },
      { "id": "Qwen/Qwen3-4B-Thinking-2507", "description": "Small Qwen that emits transparent step by step reasoning."},
      { "id": "moonshotai/Kimi-K2-Instruct", "description": "MoE assistant strong coding, reasoning, agentic tasks, long context." },
      { "id": "zai-org/GLM-4.5V", "description": "Vision language MoE state of the art multimodal reasoning."},
      { "id": "deepseek-ai/DeepSeek-V3.1", "description": "Supports direct and thinking style reasoning within one model."},
      { "id": "Qwen/Qwen3-8B", "description": "Efficient Qwen assistant strong multilingual skills and formatting." },
      { "id": "google/gemma-3-27b-it", "description": "Multimodal Gemma long context strong text and image understanding." },
      { "id": "zai-org/GLM-4.5-Air", "description": "Efficient GLM strong reasoning and tool use at lower cost."},
      { "id": "Qwen/Qwen2.5-7B-Instruct", "description": "Compact instruction model solid for basic conversation and tasks." },
      { "id": "Qwen/Qwen3-32B", "description": "General purpose Qwen strong for complex queries and dialogues." },
      { "id": "Qwen/Qwen3-235B-A22B-Instruct-2507", "description": "Flagship instruction Qwen near state of the art across domains." },
      { "id": "meta-llama/Llama-3.3-70B-Instruct", "description": "Improved Llama alignment and structure powerful complex conversations." },
      { "id": "Qwen/Qwen3-235B-A22B", "description": "Qwen base at flagship scale ideal for custom fine tuning." },
      { "id": "Qwen/Qwen2.5-Coder-32B-Instruct", "description": "Code model strong generation and tool use bridges sizes." },
      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", "description": "Distilled Qwen excels at stepwise logic in compact footprint."},
      { "id": "deepseek-ai/DeepSeek-V3", "description": "General language model direct answers strong creative and knowledge tasks." },
      { "id": "deepseek-ai/DeepSeek-V3-0324", "description": "Updated V3 better reasoning and coding strong tool use." },
      { "id": "CohereLabs/command-a-translate-08-2025", "description": "Translation focused Command model high quality multilingual translation." },
      { "id": "baidu/ERNIE-4.5-VL-424B-A47B-Base-PT", "description": "Multimodal base text image pretraining for cross modal understanding." },
      { "id": "deepseek-ai/DeepSeek-R1-0528", "description": "R1 update improved reasoning, fewer hallucinations, adds function calling.", "parameters": { "max_tokens": 32000 }},
      { "id": "Qwen/Qwen3-14B", "description": "Balanced Qwen good performance and efficiency for assistants." },
      { "id": "MiniMaxAI/MiniMax-M1-80k", "description": "Long context MoE very fast excels at long range reasoning and code."},
      { "id": "Qwen/Qwen2.5-Coder-7B-Instruct", "description": "Efficient coding assistant for lightweight programming tasks." },
      { "id": "aisingapore/Gemma-SEA-LION-v4-27B-IT", "description": "Gemma SEA LION optimized for Southeast Asian languages or enterprise." },
      { "id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", "description": "FP8 Maverick efficient deployment retains top multimodal capability." },
      { "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B", "description": "Llama distilled from R1 strong reasoning and structured outputs."},
      { "id": "Qwen/Qwen2.5-72B-Instruct", "description": "Accurate detailed instruction model supports tools and long contexts." },
      { "id": "meta-llama/Llama-Guard-4-12B", "description": "Safety guardrail model filters and enforces content policies." },
      { "id": "CohereLabs/command-a-vision-07-2025", "description": "Command model with image input captioning and visual QA." },
      { "id": "Sao10K/L3-8B-Stheno-v3.2", "description": "Community Llama variant themed tuning and unique conversational style." },
      { "id": "CohereLabs/c4ai-command-r-08-2024", "description": "Cohere Command variant instruction following with specialized tuning." },
      { "id": "CohereLabs/aya-expanse-32b", "description": "Aya Expanse large comprehensive knowledge and reasoning capabilities." },
      { "id": "CohereLabs/c4ai-command-a-03-2025", "description": "Updated Command assistant improved accuracy and general usefulness." },
      { "id": "CohereLabs/command-a-reasoning-08-2025", "description": "Command variant optimized for complex multi step logical reasoning." },
      { "id": "alpindale/WizardLM-2-8x22B", "description": "Multi expert WizardLM MoE approach for efficient high quality generation." },
      { "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B", "description": "Llama distilled from R1 improved reasoning enterprise friendly."},
      { "id": "CohereLabs/aya-vision-32b", "description": "Larger Aya Vision advanced vision language with detailed reasoning." },
      { "id": "CohereLabs/c4ai-command-r7b-arabic-02-2025", "description": "Command tuned for Arabic fluent and culturally appropriate outputs." },
      { "id": "Sao10K/L3-8B-Lunaris-v1", "description": "Community Llama creative role play oriented themed persona." },
      { "id": "meta-llama/Llama-3.1-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and factual reliability." },
      { "id": "zai-org/GLM-4-32B-0414", "description": "Open licensed GLM matches larger proprietary models on benchmarks." },
      { "id": "Qwen/Qwen2.5-Coder-3B-Instruct", "description": "Tiny coding assistant basic code completions and explanations." }
    ]

infisical:
  enabled: true
  env: "ephemeral-us-east-1"

replicas: 1
autoscaling:
  enabled: false

resources:
  requests:
    cpu: 2
    memory: 4Gi
  limits:
    cpu: 4
    memory: 8Gi