ski-model-deploy 3.0.3

Deploy and verify signed Knowledge Graphs against a SKI Model runtime.

ski-model-deploy

Install from PyPI: pip install ski-model-deploy (publishing starts with the first release after June 2026).

⚠ STATUS: EARLY ALPHA (v0.1.0a0). Alpha-quality tooling. See the repo root README.md for the project-wide status.

Deploy and configure the SKI Model inference engine on-premise.

ski-model-deploy is the deployment toolkit for the SKI Framework v2.1 runtime. (In pre-v2.1 docs this tool was called milm-deploy.)

What it does

1. Generate a deployment configuration for a sector deployment.
2. Verify the Ed25519 signature of a Knowledge Graph and register it with the deployment. Signature verification is mandatory — there is no --no-verify escape hatch.
3. Stand up the SKI Model stack via Docker (Kubernetes manifests planned for v0.2).
4. Surface deployment status and a basic health view.

Installation

pip install -e tools/ski-model-deploy

Quick start

# 1. Initialise a deployment config (writes deployment-config.yaml).
ski-model-deploy init --name energy-prod --sector energy

# 2. Load a SIGNED Knowledge Graph (this will refuse to load an unsigned KG).
ski-model-deploy load-kg \
  --config deployment-config.yaml \
  --kg /path/to/signed-kg.json

# 3. Start the stack.
ski-model-deploy start --config deployment-config.yaml

# 4. Status.
ski-model-deploy status --config deployment-config.yaml

Commands

Command	Purpose
init	Create a new deployment configuration.
load-kg	Verify a signed KG and register it. Signature verification is mandatory.
start	Bring up the stack (docker compose for the alpha; k8s planned).
stop	Tear down the stack.
status	Report deployment status as JSON.

--help is supported on every command.

Environment variables

The runtime (the SKI Model service itself) reads its own environment variables documented in reference-implementation/.env.example. The deployer cares about a small subset relevant to its own operation:

Variable	Default	Notes
SKI_API_KEY	required	Used for --api-key on status health probes.
LEDGER_DSN	required	Audit ledger DSN.
OLLAMA_BASE_URL	http://ollama:11434	Default inference backend URL.
SKI_MODEL_NAME	qwen2.5:7b-instruct	Model the runtime should use.
SKI_MODEL_FILE_SHA256	optional	If set, the runtime refuses to start unless the pulled model artefact matches.

A non-conformant anthropic demo backend exists in the runtime. The deployer does not encourage or wire it in. It is intentionally inconvenient to enable.

Signature verification — mandatory

This tool will REFUSE to load a Knowledge Graph that:

• has no signature block, or
• has algorithm: "DEMO_UNSIGNED", or
• has a signature that does not verify under the embedded public key.

There is no --no-verify, no verify_signature=False, no override flag. If you absolutely need to load an unsigned KG (for local prototyping only), you must set KG_REQUIRE_SIGNATURE=false on the runtime, which makes the deployment non-conformant and is reported as such by the conformance test suite.

Licensing

Apache 2.0. See ../../LICENSE.