KubeStellar Console

AI-powered multi-cluster Kubernetes dashboard with guided install missions for 250+ CNCF projects.

Contributing

Try it now (no install)

The fastest way to evaluate the console is the hosted version — no Kubernetes cluster, no install, no configuration. Demo data is built in:

👉 console.kubestellar.io

The hosted demo is a self-contained showcase: it serves canned demo data and intentionally does not talk to a local agent (LOCAL_AGENT_HTTP_URL is disabled in the Netlify build, so the browser cannot reach a kc-agent on your laptop). Use it to explore the UI, browse missions, and test cards without touching your machine. To work against your own clusters or use AI features with your own keys, you need to self-host the console — see the next section.

Which path do I need?

I want to…	What to do	Need a cluster?	Need to install anything?
Explore the UI / evaluate the product	console.kubestellar.io	no	no
Connect the console to my own clusters	Self-host the console and install kc-agent on the same machine	yes	yes (curl + kc-agent)
Self-host the console (air-gapped, custom OAuth, etc.)	Local install	optional	yes
Run the console inside a cluster	deploy.sh	yes	Helm-style script

Note: kc-agent is not consumed by the hosted demo at console.kubestellar.io. It bridges your self-hosted console (running at localhost:8080) to your kubeconfig contexts and to AI providers. If you want the convenience of the hosted UI plus your real cluster data, you currently have to run the console locally.

Local install (self-host)

The quickest path to a working console with your own data. start.sh downloads the pre-built console binary and a pre-built kc-agent, starts both, and opens http://localhost:8080:

curl -sSL https://raw.githubusercontent.com/kubestellar/console/main/start.sh | bash

Deploy into a cluster instead with deploy.sh (--openshift, --ingress <host>, --github-oauth, --uninstall). For Helm chart installs that should talk to an in-cluster Kagenti backend, see Connecting Kagenti.

kc-agent (bridge self-hosted console to your clusters)

kc-agent is a small local HTTP/WS daemon that the self-hosted console talks to (default http://127.0.0.1:8585). It forwards requests from the browser to your kubeconfig contexts and to AI providers. The hosted demo at console.kubestellar.io cannot reach it (#6195) — kc-agent is only useful when you self-host.

You do not need kc-agent if you only want to browse the UI / demo data — just use the hosted demo. start.sh already installs and launches a pre-built kc-agent for you, so most users never need to install it manually. The instructions below are for development builds or platforms without a Homebrew formula:

Prerequisites for kc-agent:

• A kubeconfig that points at one or more reachable clusters (kubectl get nodes works locally)
• macOS, Linux, or Windows with WSL2 (see Windows section)

# macOS — Homebrew formula (pre-built)
brew tap kubestellar/tap && brew install kc-agent

# Linux / from source — requires Go 1.26.3+ (matches go.mod)
mkdir -p bin
go build -o bin/kc-agent ./cmd/kc-agent && ./bin/kc-agent

kc-agent authentication (KC_AGENT_TOKEN)

kc-agent accepts a shared secret via KC_AGENT_TOKEN. When it is set, browser and WebSocket requests to the agent must present Authorization: Bearer <token> (or ?token=<token> for a real WebSocket upgrade). This is recommended when you want an extra layer of protection against other local processes reaching 127.0.0.1:8585.

• start-dev.sh and startup-oauth.sh auto-generate a random KC_AGENT_TOKEN for each session if you do not set one.
• Set KC_AGENT_TOKEN yourself if you want a stable secret across restarts or if you launch kc-agent manually.
• Generate one with openssl rand -hex 32.

export KC_AGENT_TOKEN="$(openssl rand -hex 32)"
./bin/kc-agent

When both the self-hosted console and kc-agent are running, open http://localhost:8080 and your local clusters appear in the cluster picker.

Windows (WSL2)

The console install scripts and kc-agent are POSIX shell + Go, so they run unchanged inside WSL2. Native Windows (PowerShell / CMD) is not supported — install WSL2 with Ubuntu and run everything from the WSL shell:

# In PowerShell — one-time setup
wsl --install -d Ubuntu

Then from inside the Ubuntu/WSL shell. start.sh only needs curl — it downloads pre-built binaries, no Go toolchain required:

# Prerequisite: just curl
sudo apt-get update && sudo apt-get install -y curl

# Same install command as macOS / Linux
curl -sSL https://raw.githubusercontent.com/kubestellar/console/main/start.sh | bash

⚠️ Windows PowerShell curl gotcha: In PowerShell, curl is an alias for Invoke-WebRequest, which behaves completely differently from the real curl. If you need to test endpoints from PowerShell (outside WSL), always use curl.exe instead of curl, or use the native PowerShell cmdlet:

# Option 1 — use curl.exe (the real curl shipped with Windows 10+)
curl.exe -s http://localhost:8080/health

# Option 2 — use PowerShell native cmdlet
Invoke-RestMethod http://localhost:8080/health

Building kc-agent from source is a separate path — only needed if you want a development build of the agent rather than the prebuilt binary that start.sh already installs. It requires Go 1.26.3+ (the version pinned in go.mod) and git. Ubuntu's golang-go package usually lags the current release; use the official Go install or the longsleep/golang-backports PPA to get a recent version:

# add-apt-repository lives in software-properties-common — install it
# first on minimal Ubuntu/WSL images that don't ship with it.
sudo apt-get update && sudo apt-get install -y software-properties-common
sudo add-apt-repository -y ppa:longsleep/golang-backports
sudo apt-get update && sudo apt-get install -y golang-1.26 git
git clone https://github.com/kubestellar/console.git
cd console
mkdir -p bin
go build -o bin/kc-agent ./cmd/kc-agent && ./bin/kc-agent

Open http://localhost:8080 in your Windows browser — WSL2 forwards localhost automatically. Tracked by #6185.

GitHub authentication

The console uses two GitHub credentials (#6190). Most users need neither — the hosted demo works without any GitHub auth at all.

Credential	What it does	When you need it
GitHub OAuth App (GITHUB_CLIENT_ID + GITHUB_CLIENT_SECRET)	Sign-in for the self-hosted console at localhost:8080	Only if you self-host the console AND want user sign-in. Skip for the hosted demo.
Consolidated GitHub PAT (a.k.a. FeedbackGitHubToken)	Same single PAT powers everything: nightly E2E status, community activity, leaderboard widgets, and the /issue page that opens GitHub issues	Optional. Without it, /issue returns 503 Issue submission is not available and the GitHub-powered dashboard widgets fall back to demo data.

Minimum to get started: nothing — hit console.kubestellar.io. Everything above is opt-in.

Setting the consolidated PAT

There are two equivalent ways to supply this PAT — pick one. Both write to the same field (FeedbackGitHubToken in pkg/api/handlers/feedback.go and pkg/api/handlers/github_proxy.go), so you don't need to set both:

1. .env file at the repo root — set on startup, no UI step needed:

   FEEDBACK_GITHUB_TOKEN=ghp_…
   

2. Settings UI (self-hosted only, admin role required) — visit Settings → GitHub Token → paste. The UI POSTs to /api/github/token, which is gated on the console admin role and persisted to ~/.kc/settings.json by the backend. On a fresh self-hosted install, the first authenticated user is auto-bootstrapped to admin so local instances are not locked out of settings.

The hosted Netlify demo cannot persist a PAT — it has no writable local backend — so Settings UI saves don't work there. Use the env-var path for self-hosting.

Setting up GitHub OAuth (self-hosted only)

If you self-host the console and want sign-in:

1. Create a GitHub OAuth App

   • Homepage URL: http://localhost:8080
   • Callback URL: http://localhost:8080/auth/github/callback
   • After creating the app, note down your Client ID (visible immediately) and generate a Client Secret (click "Generate a new client secret")

2. Clone the repo (if you haven't already):

   git clone https://github.com/kubestellar/console.git
   cd console

3. Create a .env file in the repo root (console/.env):

   # Create .env file with your GitHub OAuth App credentials
   cat > .env << 'EOF'
   GITHUB_CLIENT_ID=your-client-id-here
   GITHUB_CLIENT_SECRET=your-client-secret-here
   EOF

   Replace your-client-id-here and your-client-secret-here with the actual values from your GitHub OAuth App (step 1).

   ⚠️ Common mistakes:

   • Missing .env file: The console looks for .env in the repo root (console/.env), not in your home directory or elsewhere.
   • Wrong credentials: Client ID and Client Secret must match exactly what GitHub shows in your OAuth App settings. Copy-paste to avoid typos.
   • Expired secret: If you regenerate the Client Secret in GitHub, you must update .env with the new value.

   Troubleshooting OAuth errors:

   • "invalid client credentials" → Verify GITHUB_CLIENT_ID and GITHUB_CLIENT_SECRET in your .env match your GitHub OAuth App at https://github.com/settings/developers
   • "redirect_uri_mismatch" → The Callback URL in your GitHub OAuth App must be exactly http://localhost:8080/auth/github/callback

4. Start the console:

   ./startup-oauth.sh

Open http://localhost:8080 and sign in with GitHub. For Kubernetes deployments, pass --github-oauth to deploy.sh instead.

Consolidated PAT scopes

Whichever path you used above (env var or Settings UI), the Personal Access Token needs either:

• A classic PAT with the repo scope, or
• A fine-grained PAT with both Issues: Read & Write and Contents: Read & Write (verified against pkg/api/handlers/feedback.go:71 — Contents is required, not just Issues).

AI configuration

The console can use AI for adaptive card suggestions and mission help. AI is optional — the UI, missions, and dashboards all work without any AI keys configured (#6191).

Important: AI BYOK only works on the self-hosted console. The hosted demo at console.kubestellar.io explicitly disables LOCAL_AGENT_HTTP_URL (verified in web/src/lib/constants/network.ts), so the browser cannot reach a local agent there. To use your own AI keys, self-host the console first.

Supported AI providers (CLI-based and local LLMs)

The console uses local CLI providers and self-hosted LLMs to maintain full control over cluster access and tooling capabilities. Direct API-key providers (like raw ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY) are intentionally not supported because they bypass the local CLI tooling model required for executing cluster commands (see pkg/agent/registry.go:378 and docs/security/SECURITY-MODEL.md).

Recommended setup paths:

1. CLI-based agents (with full tool execution capabilities):

   # Install Claude Desktop or claude CLI — https://claude.ai/download
   # Install Gemini CLI — follow official Google AI SDK instructions
   # Install GitHub Copilot CLI — gh extension install github/gh-copilot
   # Install other CLI agents: codex, antigravity, goose, bob
   
   # kc-agent will auto-detect installed CLI agents — no env vars needed
   ./bin/kc-agent

2. Local/self-hosted LLM servers (OpenAI-compatible endpoints):

   # Ollama (local)
   export OLLAMA_URL=http://127.0.0.1:11434
   export OLLAMA_MODEL=llama3.2
   
   # Open WebUI (self-hosted gateway)
   export OPEN_WEBUI_URL=https://your-openwebui.example.com
   export OPEN_WEBUI_API_KEY=your-key
   export OPEN_WEBUI_MODEL=gpt-4
   
   # Other supported: llama.cpp, LocalAI, vLLM, LM Studio, Red Hat AI Inference Server
   # See docs/security/SECURITY-MODEL.md for the full list
   
   ./bin/kc-agent

Why are direct API keys not supported? The agent registry intentionally excludes upstream API-key providers (Anthropic API, OpenAI API, Google Gemini API) because they cannot execute cluster commands AND they route traffic to a specific vendor endpoint that the operator has no control over. The console's security model requires tool-capable agents that can run kubectl, helm, and other diagnostic commands locally. See pkg/agent/registry.go:378-384 for the rationale.

A note on the Settings → API Keys modal: The console UI exposes a "Manage Keys" button under Settings → API Keys. This modal is wired to the agent's /settings/keys endpoint, but in the current build that endpoint returns an empty providers list (providers := []providerDef{} in pkg/agent/server_operations.go:288) because API-key-driven agents are hidden. The modal is non-functional by design. Use the CLI-based or local LLM setup paths above instead.

If no AI provider is configured, AI-powered features fall back to deterministic / rule-based behavior. The card suggestions, missions, and dashboards remain fully usable.

Security model, air-gapped deployments, and local / self-hosted LLMs are covered in docs/security/SECURITY-MODEL.md. That document explains the data flow between browser, Go backend, kc-agent, and AI providers; how to run the console with no external AI access; and the currently supported self-hosted path using kc-agent's CLI-based agents.

How It Works

1. Onboarding — Sign in with GitHub, answer role questions, get a personalized dashboard
2. Adaptive AI — Tracks card interactions and suggests swaps when your focus shifts (Claude, OpenAI, or Gemini)
3. MCP Bridge — Queries cluster state (pods, deployments, events, drift, security) via kubestellar-ops and kubestellar-deploy
4. Missions — Step-by-step guided installs with pre-flight checks, validation, troubleshooting, and rollback
5. Real-time — WebSocket-powered live event streaming from all connected clusters

Architecture

See the full Architecture documentation on the KubeStellar website.

Related Repositories

• console-kb — Knowledge base of guided installers for 250+ CNCF projects and solutions to common Kubernetes problems
• console-marketplace — Community-contributed monitoring cards per CNCF project
• kc-agent — Local agent bridging the browser to kubeconfig, coding agents (Codex, Copilot, Claude CLI), and MCP servers (kubestellar-ops, kubestellar-deploy)
• claude-plugins — Claude Code marketplace plugins for Kubernetes
• homebrew-tap — Homebrew formulae for KubeStellar tools
• KubeStellar — Multi-cluster configuration management

Quality Assurance

Console uses AI tools (GitHub Copilot, Claude Code) to accelerate development. Quality is maintained through layered feedback loops — every PR triggers the same automated checks regardless of author, and continuous monitoring catches what PR checks miss.

• Before commit: TypeScript build + Go build + 5 post-build safety checks + lint
• Before merge: nil-safety, ts-null-safety, array-safety, API contract, Playwright E2E, coverage gate, TTFI performance, CodeQL, Copilot code review, UI/UX standards scanner, visual regression
• Visual regression: 18 UI components documented as Storybook stories with theme support. Playwright captures screenshots and diffs against baselines on every PR that touches UI components.
• After merge: Targeted Playwright tests run against production (console.kubestellar.io); failures reopen the original issue
• Continuous: Hourly coverage (12 shards), 4x daily QA, nightly E2E, nightly security scanning, real-time GA4 error tracking, UI/UX standards nightly scan

When a regression class is identified, a maintainer adds an automated check to the earliest possible loop. See docs/AI-QUALITY-ASSURANCE.md for the full breakdown.

Environment Variables Reference

The console and kc-agent use many configurable environment variables. This section provides a consolidated reference for all available options. See .env.example for a complete example file with all commented defaults.

GitHub Authentication & Integration

Variable	Required	Default	Description
GITHUB_CLIENT_ID	✓ (if using GitHub OAuth)	—	GitHub OAuth App Client ID. Create at https://github.com/settings/developers
GITHUB_CLIENT_SECRET	✓ (if using GitHub OAuth)	—	GitHub OAuth App Client Secret. Keep this secret — never commit to version control
FEEDBACK_GITHUB_TOKEN	Optional	—	GitHub Personal Access Token (PAT) for programmatic issue creation and screenshot uploads. Can be classic (repo scope) or fine-grained (Issues + Contents read/write). Used by feedback/contribute dialog and GitHub-powered dashboard widgets
FEEDBACK_REPO_OWNER	Optional	kubestellar	GitHub repository owner for feedback issue creation
FEEDBACK_REPO_NAME	Optional	console	GitHub repository name for feedback issue creation
GITHUB_WEBHOOK_SECRET	Optional	—	Secret for validating GitHub webhooks. Generate with openssl rand -hex 32
GITHUB_MUTATIONS_TOKEN	Optional	—	GitHub PAT for re-running or canceling pipelines. Requires workflow scope
GITHUB_REPO	Optional	kubestellar/console	GitHub repository for update checks

Development & UI Configuration

Variable	Required	Default	Description
DEV_MODE	Optional	true	Enable development mode features and debug logging
FRONTEND_URL	Optional	http://localhost:5174	Frontend base URL for backend redirects. Must match the frontend's listening URL
SKIP_ONBOARDING	Optional	false	Skip the onboarding questionnaire for new users (useful for testing/demos)
VITE_DEMO_MODE	Optional	false	Enable demo/preview mode with mock data (build-time only)
VITE_API_BASE_URL	Optional	—	API base URL override for frontend backend calls. Leave empty to use same origin. Build-time only
VITE_NO_LOCAL_AGENT	Optional	false	Disable local kc-agent in the frontend. Build-time only
VITE_GEOCODING_API_URL	Optional	https://geocoding-api.open-meteo.com/v1/search	Geocoding API endpoint for weather card location search
VITE_GOOGLE_FONTS_API_URL	Optional	—	Google Fonts API URL override. Build-time only
ENABLED_DASHBOARDS	Optional	—	Comma-separated list of dashboard IDs to show in sidebar. Empty = show all. Affects display order

Kubernetes & Cluster Configuration

Variable	Required	Default	Description
KUBECONFIG	Optional	~/.kube/config	Path to kubeconfig file for kubectl access
CLUSTER_NAME	Optional	—	Override the cluster name displayed in the console. Auto-detected from kubeconfig if not set
NO_LOCAL_AGENT	Optional	false	Suppress local kc-agent connections (for in-cluster deployments that use backend directly)

AI Providers — API Keys

Configure at least one to enable AI features. Without any AI provider, the console falls back to deterministic/rule-based behavior.

Variable	Required	Default	Description
ANTHROPIC_API_KEY	Optional	—	Anthropic Claude API key from https://console.anthropic.com/settings/keys
CLAUDE_MODEL	Optional	claude-sonnet-4-5-20250514	Claude model selection
OPENAI_API_KEY	Optional	—	OpenAI GPT API key from https://platform.openai.com/api-keys
OPENAI_MODEL	Optional	gpt-4-turbo	OpenAI model selection
GOOGLE_API_KEY	Optional	—	Google Gemini API key from https://makersuite.google.com/app/apikey
GEMINI_MODEL	Optional	gemini-2.0-flash	Google Gemini model selection
OPENROUTER_API_KEY	Optional	—	OpenRouter unified API key from https://openrouter.ai/keys (supports many models)
OPENROUTER_MODEL	Optional	openai/gpt-4o-mini	OpenRouter model selection. See https://openrouter.ai/models for catalog
OPENROUTER_BASE_URL	Optional	—	Custom base URL for self-hosted OpenRouter proxies
GROQ_API_KEY	Optional	—	Groq LPU inference API key from https://console.groq.com/keys
GROQ_MODEL	Optional	llama-3.3-70b-versatile	Groq model selection. See https://console.groq.com/docs/models
GROQ_BASE_URL	Optional	—	Custom base URL for self-hosted Groq proxies
DEFAULT_AGENT	Optional	—	Default AI provider if multiple are configured. Options: claude, openai, gemini, openrouter, groq. Auto-detected if not set

Local/Self-Hosted LLM Servers

Use for air-gapped deployments or local model serving without external vendor APIs.

Variable	Required	Default	Description
OLLAMA_BASE_URL	Optional	http://localhost:11434	Ollama server endpoint for local LLM inference
OPEN_WEBUI_URL	Optional	—	Open WebUI self-hosted gateway URL
OPEN_WEBUI_API_KEY	Optional	—	Open WebUI API key for authentication

Stellar Assistant Configuration

The Stellar assistant provides intelligent operational insights. Configuration is optional.

Variable	Required	Default	Description
STELLAR_DEFAULT_PROVIDER	Optional	ollama	Default provider for /api/stellar/ask and /api/stellar/digest
STELLAR_DEFAULT_MODEL	Optional	llama3	Default model selection
STELLAR_WATCHER_INTERVAL	Optional	30s	Polling interval for Stellar event watcher
STELLAR_QUIET_START	Optional	—	Quiet hours start time (HH:MM format) for suppressing non-urgent alerts
STELLAR_QUIET_END	Optional	—	Quiet hours end time (HH:MM format)
STELLAR_DIGEST_HOUR	Optional	—	Hour of day for digest generation (0-23)
STELLAR_ENCRYPTION_KEY	Optional	—	Encryption key for sensitive Stellar data storage
STELLAR_FALLBACK_PROVIDER	Optional	—	Fallback provider if default is unavailable

kc-agent Authentication & Configuration

kc-agent is the local bridge between the console and your clusters/AI providers.

Variable	Required	Default	Description
KC_AGENT_TOKEN	Optional	—	Shared secret for securing kc-agent WebSocket access. Generate with openssl rand -hex 32. If unset, start-dev.sh and startup-oauth.sh auto-generate per session
KC_DEV_MODE	Optional	false	Enable kc-agent development mode with verbose logging
KC_ALLOWED_ORIGINS	Optional	—	CORS-allowed origins for WebSocket connections (comma-separated)

Service Discovery — KAgent & KAgenti Integration

For in-cluster KAgent/KAgenti service discovery. Use controller URLs to skip discovery.

Variable	Required	Default	Description
KAGENT_CONTROLLER_URL	Optional	—	Direct KAgent controller URL (skips service discovery)
KAGENT_NAMESPACE	Optional	—	Kubernetes namespace where KAgent runs
KAGENT_SERVICE_NAME	Optional	—	Kubernetes service name for KAgent
KAGENT_SERVICE_PORT	Optional	—	Service port for KAgent
KAGENT_SERVICE_PROTOCOL	Optional	http	Service protocol (http/https)
KAGENTI_CONTROLLER_URL	Optional	—	Direct KAgenti controller URL (skips service discovery)
KAGENTI_AGENT_URL	Optional	—	KAgenti agent endpoint
KAGENTI_AGENT_NAME	Optional	—	KAgenti agent name
KAGENTI_AGENT_NAMESPACE	Optional	—	Kubernetes namespace for KAgenti agent
KAGENTI_NAMESPACE	Optional	—	Kubernetes namespace where KAgenti controller runs
KAGENTI_SERVICE_NAME	Optional	—	Kubernetes service name for KAgenti
KAGENTI_SERVICE_PORT	Optional	—	Service port for KAgenti
KAGENTI_SERVICE_PROTOCOL	Optional	http	Service protocol (http/https)

GPU Metrics & Alerting

Enable GPU monitoring and set utilization thresholds.

Variable	Required	Default	Description
GPU_METRICS_ENABLED	Optional	false	Enable GPU metrics collection
GPU_METRICS_DCGM_ENABLED	Optional	false	Enable NVIDIA DCGM exporter scraping (requires NVIDIA GPU Operator)
GPU_METRICS_DCGM_NAMESPACE	Optional	gpu-operator	Kubernetes namespace where DCGM exporter runs
GPU_METRICS_DCGM_SERVICE	Optional	dcgm-exporter	Service name of the DCGM exporter
GPU_UTIL_OVER_THRESHOLD	Optional	90	Alert when GPU utilization exceeds this percentage
GPU_UTIL_UNDER_THRESHOLD	Optional	20	Alert when GPU utilization falls below this percentage
GPU_UTIL_POLL_INTERVAL_MS	Optional	1200000	GPU metrics polling interval in milliseconds (default: 20 minutes)

ArgoCD Integration

Connect the console to an ArgoCD instance for deployment tracking and synchronization.

Variable	Required	Default	Description
ARGOCD_AUTH_TOKEN	Optional	—	ArgoCD API authentication token. Generate via: argocd account generate-token --account admin
ARGOCD_SERVER_URL	Optional	—	ArgoCD server URL for API access
ARGOCD_TLS_INSECURE	Optional	false	Disable TLS certificate verification (dev/test only with self-signed certs)

GitHub Pipelines & CI/CD

Monitor and control GitHub Actions workflows.

Variable	Required	Default	Description
PIPELINE_REPOS	Optional	—	Comma-separated list of GitHub repositories to monitor (format: owner/repo,owner/repo2)
GITHUB_MUTATIONS_TOKEN	Optional	—	GitHub PAT for re-running or canceling pipeline runs (requires workflow scope)

Analytics & Telemetry

Configure analytics and measurement.

Variable	Required	Default	Description
GA4_REAL_MEASUREMENT_ID	Optional	—	Real GA4 Measurement ID (frontend uses a decoy ID; the proxy rewrites it)
VITE_GA_MEASUREMENT_ID	Optional	—	Frontend GA4 Measurement ID (build-time only)

Server Configuration

Core backend and network settings.

Variable	Required	Default	Description
PORT	Optional	8080	Backend listening port
DATABASE_PATH	Optional	./console.db	Path to SQLite database file
MAX_BODY_BYTES	Optional	5242880	Global HTTP request body size limit in bytes (default: 5 MB)
WS_MAX_CONNECTIONS	Optional	1000	WebSocket connection limit (prevents resource exhaustion)

TLS Configuration

Enable HTTPS/TLS for secure connections.

Variable	Required	Default	Description
TLS_ENABLED	Optional	false	Enable HTTPS with TLS certificates
TLS_CERT_FILE	Optional	—	Path to TLS certificate file (PEM format)
TLS_KEY_FILE	Optional	—	Path to TLS private key file (PEM format)

In-Cluster Deployment

Configuration for running the console inside a Kubernetes cluster.

Variable	Required	Default	Description
POD_NAMESPACE	Optional	—	Kubernetes namespace where console pod runs (used for self-upgrade feature)

DRASI Integration (Experimental)

Reactive graph subscription for real-time data.

Variable	Required	Default	Description
VITE_DRASI_SERVER_URL	Optional	—	DRASI server URL (build-time only)
VITE_DRASI_PLATFORM_CLUSTER	Optional	—	DRASI platform cluster identifier (build-time only)

Quick Setup Examples

Minimal local development (no OAuth, demo user):

./start-dev.sh

With GitHub OAuth:

cat > .env << 'EOF'
GITHUB_CLIENT_ID=your-client-id
GITHUB_CLIENT_SECRET=your-client-secret
EOF
./startup-oauth.sh

With Claude AI:

cat > .env << 'EOF'
GITHUB_CLIENT_ID=your-client-id
GITHUB_CLIENT_SECRET=your-client-secret
ANTHROPIC_API_KEY=your-anthropic-key
EOF
./startup-oauth.sh

With local Ollama:

export OLLAMA_BASE_URL=http://localhost:11434
./start-dev.sh

With Kubernetes kubeconfig:

export KUBECONFIG=~/.kube/config
./start-dev.sh

For more examples and detailed setup instructions, see the Getting Started and GitHub Authentication sections above.

License

Apache License 2.0 — see LICENSE.