feat: ephemeral env & mongo passwordless (#1972)

.github/workflows/deploy-dev.yml

@@ -0,0 +1,62 @@
+name: Deploy to ephemeral
+on:
+  pull_request:
+
+jobs:
+  branch-slug:
+    uses: ./.github/workflows/slugify.yaml
+    with:
+      value: ${{ github.head_ref }}
+
+  deploy-dev:
+    if: contains(github.event.pull_request.labels.*.name, 'preview')
+    runs-on: ubuntu-latest
+    needs: branch-slug
+    environment:
+      name: dev
+      url: https://${{ needs.branch-slug.outputs.slug }}.chat-dev.huggingface.tech/chat/
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Login to Registry
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_PASSWORD }}
+
+      - name: Inject slug/short variables
+        uses: rlespinasse/github-slug-action@v4.5.0
+
+      - name: Set GITHUB_SHA_SHORT from PR
+        if: env.GITHUB_EVENT_PULL_REQUEST_HEAD_SHA_SHORT != null
+        run: echo "GITHUB_SHA_SHORT=${{ env.GITHUB_EVENT_PULL_REQUEST_HEAD_SHA_SHORT }}" >> $GITHUB_ENV
+
+      - name: Docker metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            huggingface/chat-ui
+          tags: |
+            type=raw,value=dev-${{ env.GITHUB_SHA_SHORT }}
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Build and Publish HuggingChat image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          platforms: linux/amd64
+          cache-to: type=gha,mode=max,scope=amd64
+          cache-from: type=gha,scope=amd64
+          provenance: false
+          build-args: |
+            INCLUDE_DB=false
+            APP_BASE=/chat
+            PUBLIC_COMMIT_SHA=${{ env.GITHUB_SHA_SHORT }}

.github/workflows/slugify.yaml

@@ -0,0 +1,72 @@
+name: Generate Branch Slug
+
+on:
+  workflow_call:
+    inputs:
+      value:
+        description: 'Value to slugify'
+        required: true
+        type: string
+    outputs:
+      slug:
+        description: 'Slugified value'
+        value: ${{ jobs.generate-slug.outputs.slug }}
+
+jobs:
+  generate-slug:
+    runs-on: ubuntu-latest
+    outputs:
+      slug: ${{ steps.slugify.outputs.slug }}
+
+    steps:
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.21'
+
+      - name: Generate slug
+        id: slugify
+        run: |
+          # Create working directory
+          mkdir -p $HOME/slugify
+          cd $HOME/slugify
+          
+          # Create Go script
+          cat > main.go << 'EOF'
+          package main
+          
+          import (
+              "fmt"
+              "os"
+              "github.com/gosimple/slug"
+          )
+          
+          func main() {
+              if len(os.Args) < 2 {
+                  fmt.Println("Usage: slugify <text>")
+                  os.Exit(1)
+              }
+          
+              text := os.Args[1]
+              slugged := slug.Make(text)
+              fmt.Println(slugged)
+          }
+          EOF
+          
+          # Initialize module and install dependency
+          go mod init slugify
+          go mod tidy
+          go get github.com/gosimple/slug
+          
+          # Build
+          go build -o slugify main.go
+          
+          # Generate slug
+          VALUE="${{ inputs.value }}"
+          echo "Input value: $VALUE"
+          
+          SLUG=$(./slugify "$VALUE")
+          echo "Generated slug: $SLUG"
+          
+          # Export
+          echo "slug=$SLUG" >> $GITHUB_OUTPUT

chart/env/dev.yaml

@@ -0,0 +1,205 @@
+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"
+  USE_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: "https://huggingface.co"
+  PUBLIC_PLAUSIBLE_SCRIPT_URL: "https://plausible.io/js/pa-Io_oigECawqdlgpf5qvHb.js"
+
+  TASK_MODEL: "Qwen/Qwen3-4B-Instruct-2507"
+  LLM_ROUTER_ARCH_BASE_URL: "https://router.huggingface.co/v1"
+  LLM_ROUTER_ROUTES_PATH: "build/client/chat/huggingchat/routes.chat.json"
+  LLM_ROUTER_ARCH_MODEL: "katanemo/Arch-Router-1.5B"
+  LLM_ROUTER_OTHER_ROUTE: "casual_conversation"
+  LLM_ROUTER_ARCH_TIMEOUT_MS: "10000"
+  LLM_ROUTER_ENABLE_MULTIMODAL: "true"
+  LLM_ROUTER_MULTIMODAL_MODEL: "Qwen/Qwen3-VL-235B-A22B-Thinking"
+  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": "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": "Kwaipilot/KAT-Dev", "description": "Developer-oriented assistant tuned for coding, debugging, and lightweight agent workflows." },
+      { "id": "Qwen/Qwen3-VL-235B-A22B-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": "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." },
+      { "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." },
+      { "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": "Qwen/Qwen2.5-VL-7B-Instruct", "description": "Vision language Qwen handles images and text for basic multimodal tasks." },
+      { "id": "Qwen/Qwen3-30B-A3B-Instruct-2507", "description": "Instruction tuned Qwen reliable general tasks with long context support." },
+      { "id": "baidu/ERNIE-4.5-VL-28B-A3B-PT", "description": "Baidu multimodal MoE strong at complex vision language reasoning." },
+      { "id": "baidu/ERNIE-4.5-0.3B-PT", "description": "Tiny efficient Baidu model surprisingly long context for lightweight chat." },
+      { "id": "deepseek-ai/DeepSeek-R1", "description": "MoE reasoning model excels at math, logic, coding with steps." },
+      { "id": "baidu/ERNIE-4.5-21B-A3B-PT", "description": "Efficient Baidu MoE competitive generation with fewer active parameters." },
+      { "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": "meta-llama/Llama-3.2-3B-Instruct", "description": "Small efficient Llama for basic conversations and instructions." },
+      { "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": "zai-org/GLM-4.6", "description": "Hybrid reasoning model top choice for intelligent agent applications." },
+      { "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": "Qwen/Qwen3-30B-A3B-Thinking-2507", "description": "Thinking mode Qwen explicit reasoning for complex interpretable tasks." },
+      { "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": "HuggingFaceTB/SmolLM3-3B", "description": "Small multilingual long context model surprisingly strong reasoning." },
+      { "id": "Qwen/Qwen3-30B-A3B", "description": "Qwen base model for general use or further fine tuning." },
+      { "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/QwQ-32B", "description": "Preview Qwen showcasing next generation features and alignment." },
+      { "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/Qwen2.5-VL-32B-Instruct", "description": "Multimodal Qwen advanced visual reasoning for complex image plus text." },
+      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", "description": "Tiny distilled Qwen stepwise math and logic reasoning." },
+      { "id": "Qwen/Qwen3-235B-A22B", "description": "Qwen base at flagship scale ideal for custom fine tuning." },
+      { "id": "meta-llama/Llama-4-Scout-17B-16E-Instruct", "description": "Processes text and images excels at summarization and cross modal reasoning." },
+      { "id": "NousResearch/Hermes-4-70B", "description": "Steerable assistant strong reasoning and creativity highly helpful." },
+      { "id": "Qwen/Qwen2.5-Coder-32B-Instruct", "description": "Code model strong generation and tool use bridges sizes." },
+      { "id": "katanemo/Arch-Router-1.5B", "description": "Lightweight router model directs queries to specialized backends." },
+      { "id": "meta-llama/Llama-3.2-1B-Instruct", "description": "Ultra small Llama handles basic Q and A and instructions." },
+      { "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": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "description": "Distilled from R1 strong reasoning standout dense model." },
+      { "id": "baidu/ERNIE-4.5-VL-424B-A47B-Base-PT", "description": "Multimodal base text image pretraining for cross modal understanding." },
+      { "id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct", "description": "MoE multimodal Llama rivals top vision language models." },
+      { "id": "Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8", "description": "Quantized giant coder faster lighter retains advanced code generation." },
+      { "id": "deepseek-ai/DeepSeek-R1-0528-Qwen3-8B", "description": "Qwen3 variant with R1 reasoning improvements compact and capable." },
+      { "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": "CohereLabs/aya-expanse-8b", "description": "Small Aya Expanse broad knowledge and efficient general reasoning." },
+      { "id": "baichuan-inc/Baichuan-M2-32B", "description": "Medical reasoning specialist fine tuned for clinical QA bilingual." },
+      { "id": "Qwen/Qwen2.5-VL-72B-Instruct", "description": "Vision language Qwen detailed image interpretation and instructions." },
+      { "id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", "description": "FP8 Maverick efficient deployment retains top multimodal capability." },
+      { "id": "zai-org/GLM-4.1V-9B-Thinking", "description": "Vision language with explicit reasoning strong for its size." },
+      { "id": "zai-org/GLM-4.5-Air-FP8", "description": "FP8 efficient GLM Air hybrid reasoning with minimal compute." },
+      { "id": "google/gemma-2-2b-it", "description": "Small Gemma instruction tuned safe responsible outputs easy deployment." },
+      { "id": "arcee-ai/AFM-4.5B", "description": "Enterprise focused model strong CPU performance compliant and practical." },
+      { "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B", "description": "Llama distilled from R1 strong reasoning and structured outputs." },
+      { "id": "CohereLabs/aya-vision-8b", "description": "Vision capable Aya handles images and text for basic multimodal." },
+      { "id": "NousResearch/Hermes-3-Llama-3.1-405B", "description": "Highly aligned assistant excels at math, code, QA." },
+      { "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": "nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "description": "NVIDIA tuned Llama optimized throughput for research and production." },
+      { "id": "meta-llama/Meta-Llama-3-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and reliability over predecessors." },
+      { "id": "NousResearch/Hermes-4-405B", "description": "Frontier Hermes hybrid reasoning excels at math, code, creativity." },
+      { "id": "NousResearch/Hermes-2-Pro-Llama-3-8B", "description": "Small Hermes highly steerable maximized helpfulness for basics." },
+      { "id": "google/gemma-2-9b-it", "description": "Gemma with improved accuracy and context safe, easy to deploy." },
+      { "id": "Sao10K/L3-8B-Stheno-v3.2", "description": "Community Llama variant themed tuning and unique conversational style." },
+      { "id": "deepcogito/cogito-v2-preview-llama-109B-MoE", "description": "MoE preview advanced reasoning tests DeepCogito v2 fine tuning." },
+      { "id": "CohereLabs/c4ai-command-r-08-2024", "description": "Cohere Command variant instruction following with specialized tuning." },
+      { "id": "baidu/ERNIE-4.5-300B-A47B-Base-PT", "description": "Large base model foundation for specialized language systems." },
+      { "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": "tokyotech-llm/Llama-3.3-Swallow-70B-Instruct-v0.4", "description": "Academic fine tune potential multilingual and domain improvements." },
+      { "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B", "description": "Llama distilled from R1 improved reasoning enterprise friendly." },
+      { "id": "CohereLabs/c4ai-command-r7b-12-2024", "description": "Small Command variant research or regional adaptation focus." },
+      { "id": "Sao10K/L3-70B-Euryale-v2.1", "description": "Creative community instruct model with distinctive persona." },
+      { "id": "CohereLabs/aya-vision-32b", "description": "Larger Aya Vision advanced vision language with detailed reasoning." },
+      { "id": "meta-llama/Llama-3.1-405B-Instruct", "description": "Massive instruction model very long context excels at complex tasks." },
+      { "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": "Qwen/Qwen2.5-Coder-7B", "description": "Small Qwen coder basic programming assistance for low resource environments." },
+      { "id": "Qwen/QwQ-32B-Preview", "description": "Preview Qwen experimental features and architecture refinements." },
+      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B", "description": "Distilled Qwen mid size strong reasoning and clear steps." },
+      { "id": "meta-llama/Llama-3.1-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and factual reliability." },
+      { "id": "Qwen/Qwen3-235B-A22B-FP8", "description": "FP8 quantized Qwen flagship efficient access to ultra large capabilities." },
+      { "id": "zai-org/GLM-4-32B-0414", "description": "Open licensed GLM matches larger proprietary models on benchmarks." },
+      { "id": "SentientAGI/Dobby-Unhinged-Llama-3.3-70B", "description": "Unfiltered candid creative outputs intentionally less restricted behavior." },
+      { "id": "marin-community/marin-8b-instruct", "description": "Community tuned assistant helpful conversational everyday tasks." },
+      { "id": "deepseek-ai/DeepSeek-Prover-V2-671B", "description": "Specialist for mathematical proofs and formal reasoning workflows." },
+      { "id": "NousResearch/Hermes-3-Llama-3.1-70B", "description": "Highly aligned assistant strong complex instruction following." },
+      { "id": "Qwen/Qwen2.5-Coder-3B-Instruct", "description": "Tiny coding assistant basic code completions and explanations." },
+      { "id": "deepcogito/cogito-v2-preview-llama-70B", "description": "Preview fine tune enhanced reasoning and tool use indications." },
+      { "id": "deepcogito/cogito-v2-preview-llama-405B", "description": "Preview at frontier scale tests advanced fine tuning methods." },
+      { "id": "deepcogito/cogito-v2-preview-deepseek-671B-MoE", "description": "Experimental blend of DeepCogito and DeepSeek approaches for reasoning." }
+    ]
+
+infisical:
+  enabled: true
+  env: "ephemeral-us-east-1"
+
+replicas: 1
+autoscaling:
+  enabled: false
+
+resources:
+  requests:
+    cpu: 2
+    memory: 4Gi
+  limits:
+    cpu: 4
+    memory: 8Gi

package-lock.json

@@ -8,12 +8,14 @@
 			"name": "chat-ui",
 			"version": "0.20.0",
 			"dependencies": {
+				"@aws-sdk/credential-providers": "^3.925.0",
 				"@elysiajs/swagger": "^1.3.0",
 				"@huggingface/hub": "^2.2.0",
 				"@huggingface/inference": "^4.11.3",
 				"@iconify-json/bi": "^1.1.21",
 				"@resvg/resvg-js": "^2.6.2",
 				"autoprefixer": "^10.4.14",
+				"aws4": "^1.13.2",
 				"bits-ui": "^2.14.2",
 				"date-fns": "^2.29.3",
 				"dotenv": "^16.5.0",
@@ -268,6 +270,684 @@
 			"dev": true,
 			"license": "ISC"
 		},
+		"node_modules/@aws-crypto/sha256-browser": {
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-			"version": "0.34.33",
-			"resolved": "https://registry.npmjs.org/@sinclair/typebox/-/typebox-0.34.33.tgz",
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-			"license": "MIT",
-			"optional": true
+		"node_modules/@smithy/uuid": {
+			"version": "1.1.0",
+			"resolved": "https://registry.npmjs.org/@smithy/uuid/-/uuid-1.1.0.tgz",
+			"integrity": "sha512-4aUIteuyxtBUhVdiQqcDhKFitwfd9hqoSDYY2KRXiWtgoWJ9Bmise+KfEPDiVHWeJepvF8xJO9/9+WDIciMFFw==",
+			"license": "Apache-2.0",
+			"dependencies": {
+				"tslib": "^2.6.2"
+			},
+			"engines": {
+				"node": ">=18.0.0"
+			}
 		},
 		"node_modules/@sveltejs/acorn-typescript": {
 			"version": "1.0.5",
@@ -3503,6 +4763,12 @@
 				"postcss": "^8.1.0"
 			}
 		},
+		"node_modules/aws4": {
+			"version": "1.13.2",
+			"resolved": "https://registry.npmjs.org/aws4/-/aws4-1.13.2.tgz",
+			"integrity": "sha512-lHe62zvbTB5eEABUVi/AwVh0ZKY9rMMDhmm+eeyuuUQbQ3+J+fONVQOZyj+DdrvD4BY33uYniyRJ4UJIaSKAfw==",
+			"license": "MIT"
+		},
 		"node_modules/axobject-query": {
 			"version": "4.1.0",
 			"resolved": "https://registry.npmjs.org/axobject-query/-/axobject-query-4.1.0.tgz",
@@ -3602,6 +4868,12 @@
 				"svelte": "^5.33.0"
 			}
 		},
+		"node_modules/bowser": {
+			"version": "2.12.1",
+			"resolved": "https://registry.npmjs.org/bowser/-/bowser-2.12.1.tgz",
+			"integrity": "sha512-z4rE2Gxh7tvshQ4hluIT7XcFrgLIQaw9X3A+kTTRdovCz5PMukm/0QC/BKSYPj3omF5Qfypn9O/c5kgpmvYUCw==",
+			"license": "MIT"
+		},
 		"node_modules/brace-expansion": {
 			"version": "2.0.2",
 			"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz",
@@ -4943,6 +6215,24 @@
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 			"license": "MIT"
 		},
+		"node_modules/fast-xml-parser": {
+			"version": "5.2.5",
+			"resolved": "https://registry.npmjs.org/fast-xml-parser/-/fast-xml-parser-5.2.5.tgz",
+			"integrity": "sha512-pfX9uG9Ki0yekDHx2SiuRIyFdyAr1kMIMitPvb0YBo8SUfKvia7w7FIyd/l6av85pFYRhZscS75MwMnbvY+hcQ==",
+			"funding": [
+				{
+					"type": "github",
+					"url": "https://github.com/sponsors/NaturalIntelligence"
+				}
+			],
+			"license": "MIT",
+			"dependencies": {
+				"strnum": "^2.1.0"
+			},
+			"bin": {
+				"fxparser": "src/cli/cli.js"
+			}
+		},
 		"node_modules/fastq": {
 			"version": "1.19.1",
 			"resolved": "https://registry.npmjs.org/fastq/-/fastq-1.19.1.tgz",
@@ -9023,6 +10313,18 @@
 				"url": "https://github.com/sponsors/sindresorhus"
 			}
 		},
+		"node_modules/strnum": {
+			"version": "2.1.1",
+			"resolved": "https://registry.npmjs.org/strnum/-/strnum-2.1.1.tgz",
+			"integrity": "sha512-7ZvoFTiCnGxBtDqJ//Cu6fWtZtc7Y3x+QOirG15wztbdngGSkht27o2pyGWrVy0b4WAy3jbKmnoK6g5VlVNUUw==",
+			"funding": [
+				{
+					"type": "github",
+					"url": "https://github.com/sponsors/NaturalIntelligence"
+				}
+			],
+			"license": "MIT"
+		},
 		"node_modules/strtok3": {
 			"version": "10.2.2",
 			"resolved": "https://registry.npmjs.org/strtok3/-/strtok3-10.2.2.tgz",

package.json

@@ -66,12 +66,14 @@
 	},
 	"type": "module",
 	"dependencies": {
+		"@aws-sdk/credential-providers": "^3.925.0",
 		"@elysiajs/swagger": "^1.3.0",
 		"@huggingface/hub": "^2.2.0",
 		"@huggingface/inference": "^4.11.3",
 		"@iconify-json/bi": "^1.1.21",
 		"@resvg/resvg-js": "^2.6.2",
 		"autoprefixer": "^10.4.14",
+		"aws4": "^1.13.2",
 		"bits-ui": "^2.14.2",
 		"date-fns": "^2.29.3",
 		"dotenv": "^16.5.0",