kubeintellect 2.0.0a2

AI-powered Kubernetes management — local server and CLI

KubeIntellect V2

AI-powered Kubernetes management. Natural-language interface to diagnose faults, query cluster state, and execute remediation — with human approval gating all destructive actions.

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Quickstart

Install (requires Python 3.12+)

python3 -m venv .venv
source .venv/bin/activate
pip install kubeintellect

Ubuntu 22.04 ships Python 3.10. Check your version first:

python3 --version   # need 3.12 or higher

If you have 3.10, install 3.12 from the deadsnakes PPA:

sudo add-apt-repository ppa:deadsnakes/ppa -y
sudo apt-get install -y python3.12
python3.12 -m venv .venv && source .venv/bin/activate
pip install kubeintellect

First-time setup — one command

kubeintellect init

The wizard will:

• Ask your LLM provider (OpenAI or Azure) and API key
• Offer to create a local Kind cluster with sample workloads
• Offer to install Prometheus, Grafana, and Loki for observability
• Offer to deploy broken-pod RCA scenarios to practise with
• Choose SQLite (default) or PostgreSQL for persistence
• Generate an API key and configure kq automatically
• Install a systemd service so the server starts on every login

After init completes, open a new terminal and run:

kq

That's it. No manual server start, no copy-pasting API keys.

What kubeintellect status shows

  Config:    ✓  ~/.kubeintellect/.env
  LLM:       ✓  azure / gpt-4o
  DB:        ✓  sqlite  ~/.kubeintellect/kubeintellect.db
  kubectl:   ✓  found
  Kube:      ✓  ~/.kube/config  context: kind-kubeintellect
  Auth:      ✓  enabled
    admin     ki-admin-xxxxxxxxxxxxxxxxxxxx   ← use this as KUBE_Q_API_KEY
  Prometheus:✓  http://172.18.0.2:30090  reachable
  Loki:      ✓  http://172.18.0.2:30100  reachable
  Grafana:   ✓  http://172.18.0.2:30080  reachable
  kube-q:    ✓  found

Database

Mode	When	Setup
SQLite	Default — local / testing	None — init sets it automatically
PostgreSQL	Production / team	Set DATABASE_URL in ~/.kubeintellect/.env

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Other deployment options

Option	When to use
Docker Compose	Laptop, no K8s cluster, full stack via Docker
Kind cluster	Local K8s dev with monitoring + Langfuse
Cloud / VM (Helm)	Production, AKS, or company cluster

Full guide: docs/quickstart.md

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Architecture

kq (CLI)  ──► KubeIntellect API (FastAPI + LangGraph)
                │
                ├── Coordinator (GPT-4o)
                │     ├── simple query  → direct tool use → answer
                │     └── complex fault → fan-out to 4 parallel subagents
                │           ├── Pod subagent     (kubectl)
                │           ├── Metrics subagent (Prometheus / PromQL)
                │           ├── Logs subagent    (Loki / LogQL)
                │           └── Events subagent  (kubectl events)
                │
                ├── HITL gate — destructive ops pause for approval
                └── Role check — admin / operator / readonly enforced

Checkpointing: conversation state persists to PostgreSQL (production) or SQLite (local).

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Authentication

Optional — if no keys are set, all requests are accepted.

# ~/.kubeintellect/.env  (written by kubeintellect init)
KUBEINTELLECT_ADMIN_KEYS=ki-admin-abc123
KUBEINTELLECT_OPERATOR_KEYS=ki-op-def456
KUBEINTELLECT_READONLY_KEYS=ki-ro-xyz789

Generate keys: openssl rand -hex 20

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Repo layout

app/                        # core Python source (shared by all deployments)
deploy/
  docker-compose/           # monitoring configs (prometheus.yml, loki-config.yml, grafana)
  helm/
    kubeintellect/          # Helm chart + values for all environments
    langfuse/               # Langfuse LLM tracing chart
  kind/                     # Kind cluster configs
docker-compose.yaml         # laptop deployment entry point
scripts/
  kind/create-kind-cluster.sh
  vm/setup-nginx.sh, setup-tls.sh
tests/
docs/

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kubeintellect kind-setup vs make kind-cluster-create

Two ways to get a local Kind cluster — pick based on who you are:

	kubeintellect kind-setup	make kind-cluster-create
Requires repo clone	No	Yes
Cluster config	Single-node	2-node, hot-reload mounts
Ingress	Basic nginx	Tuned for Kind dev
Cluster DNS auto-config	Yes — svc.cluster.local works from host	No
Monitoring / Langfuse	Via make targets (after cloning)	make monitoring-install / make langfuse-install
Who it's for	End users, ops teams	KubeIntellect developers

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Docs

Topic	File
All install options	docs/quickstart.md
pip — no cluster (quick try)	docs/install-pip-no-cluster.md
pip — existing cluster	docs/install-pip-existing-cluster.md
pip — local Kind cluster	docs/install-pip-kind.md
Docker Compose	docs/deploy-docker-compose.md
Kind dev environment (repo)	docs/deploy-kind.md
VM / AKS / cloud (Helm)	docs/deploy-cloud.md
All config options	docs/configuration.md