Skip to content

Contract sections

pactoVersion

The contract specification version. Supported values are "1.0", "1.1" and "1.2".

pactoVersion: "1.2"

Each version is validated against its own JSON Schema, selected by the declared pactoVersion. An unrecognized version is a hard error (UNSUPPORTED_PACTO_VERSION).

Version Adds
1.0 The base contract (service, interfaces, configurations, policies, dependencies, runtime, scaling, metadata). Object-only owner (string form removed).
1.1 Object-only owner inherited from 1.0. Everything from 1.0 remains valid. No readiness.
1.2 Redesigned readiness — per-check status + category, assessment-level expires, partialCredit, history[]. Object-only owner inherited from 1.0. Everything from 1.0 and 1.1 remains valid.

Existing 1.0 and 1.1 contracts continue to validate unchanged. The readiness section is only accepted under pactoVersion: "1.2"; declaring it under 1.0 or 1.1 is rejected.


service

Identifies the service.

Field Type Required Constraints
name string Yes Pattern: ^[a-z0-9]([a-z0-9-]*[a-z0-9])?$
version string Yes Valid semver (e.g., 2.1.0)
owner OwnerInfo No Object only (string form removed)
image Image No
chart Chart No

Image

Field Type Required Constraints
ref string Yes Non-empty. Valid OCI image reference
private boolean No

Chart

Optional Helm chart reference for deploying the service.

Field Type Required Constraints
ref string Yes Non-empty. Local path (e.g. ./charts/my-chart) or OCI reference (e.g. oci://ghcr.io/org/chart)
version string Yes Non-empty. Valid semver

Warning

Local chart references are only allowed during development. pacto push rejects contracts with local chart references — use an OCI reference before publishing.

OwnerInfo

Structured ownership metadata. All fields are optional but at least one must be present.

Field Type Required Constraints
team string No Team name
dri string No Directly Responsible Individual
contacts OwnerContact[] No Contact points

OwnerContact

Field Type Required Constraints
type string Yes One of: email, url, group, oncall, chat, other
value string Yes Non-empty
purpose string No One of: ownership, support, escalation, oncall, notifications

Examples:

# Structured form (object only — string form removed)
service:
  owner:
    team: foundations
    dri: eduardo.diaz
    contacts:
      - type: email
        value: foundations@acme.com
        purpose: ownership
      - type: chat
        value: "#foundations"

# Minimal object form (at least one field required)
service:
  owner:
    team: payments

Dashboard integration:

The dashboard uses a canonical owner key for aggregation and navigation: 1. If owner has team → uses team 2. If owner has dri (no team) → uses dri

This key is used consistently across the owners aggregation view (#/owners), owner detail view (#/owners/:key), service list filtering and dependency graph highlighting. See Platform engineers — dashboard for how the dashboard renders these views.


interfaces

Declares the service's communication boundaries. Optional — a service with no network interfaces (e.g. a batch job or shared library) may omit this section entirely. The contract field points at the interface definition you already publish — an OpenAPI spec, a .proto or an event schema — so Pacto references your existing interface rather than redefining it.

Field Type Required Constraints
name string Yes Non-empty. Must be unique across interfaces
type string Yes Enum: http, grpc, event
port integer Conditional Range: 1-65535. Required for http and grpc
visibility string No Enum: public, internal. Default: internal
contract string Conditional Non-empty. Required for grpc and event

Conditional requirements

Interface type Required fields
http port
grpc port, contract
event contract

Note

Interface names must be unique within a contract. The contract field for http interfaces is optional but recommended (typically an OpenAPI spec).


configurations

Defines the service's configuration model. Optional — services with no configuration schema may omit this section entirely.

The configurations section is an array of named configuration entries:

Field Type Required Constraints
name string Yes Non-empty identifier for the configuration entry
schema string Conditional Non-empty. Must reference a file in the bundle. Required if ref is not set
ref string Conditional Non-empty. OCI or local reference to another Pacto contract. Required if schema is not set
values object No Must conform to the schema defined in schema

When schema is used, the configuration schema is a local file within the bundle. When ref is used, the schema is resolved from another Pacto contract's bundle at the fixed path configuration/schema.json. schema and ref are mutually exclusive — each entry must use one or the other, not both. When ref is set, schema and values must not be present.

Required configuration keys are derived from the JSON Schema's required array.

The optional values field provides default configuration values that are validated against the local schema. A ref: entry carries no values — the two are mutually exclusive (see above); to attach values, vendor a local schema:. Values are useful for documenting expected defaults or providing environment-specific overrides via the --set and --values flags (see Contract overrides).

Tip

All files referenced by the contract — including the configuration schema — are packaged into the bundle when you run pacto push. The bundle is a self-contained OCI artifact that includes pacto.yaml, interface contracts, the configuration schema, and any other files in the contract directory.

External configuration schema reference

Instead of vendoring a configuration schema into the bundle, you can reference another Pacto contract that contains it. The referenced contract's bundle must have the schema at the fixed path configuration/schema.json:

configurations:
  - name: platform
    ref: oci://ghcr.io/acme/platform-config-pacto:1.0.0

This enables centralized configuration management — a platform team publishes a single configuration contract, and all services reference it. The reference supports recursive resolution: if the referenced contract itself has a configurations[].ref, Pacto follows the chain (with cycle detection) using the same OCI resolution and caching infrastructure as dependencies.

Tip

Configuration references create reference edges in the dependency graph, distinct from dependencies[].ref edges. Use pacto graph --with-references to visualize them, or pacto graph --only-references to show only reference edges. In the dashboard graph, reference edges appear as dashed lines.

Warning

Local configuration references (file:// and bare paths) are only allowed during development. pacto push rejects contracts with local configuration refs — all refs must use oci:// before publishing.

Tip

Configuration references are pinned in pacto.lock alongside dependencies. The full transitive reference closure (N-hop config/policy jumps) is resolved and verified. See Lockfile.

Secret references

Secrets should never be stored as literal values in a contract. Instead, use a reference convention that the platform resolves at deployment time. The contract declares what the service needs; the platform decides how to provide it.

configurations:
  - name: default
    schema: configuration/schema.json
    values:
        DB_HOST: prod-db.internal
        DB_PORT: 5432
        DB_PASSWORD: secret://vault/payments/db-password
        API_KEY: secret://vault/payments/stripe-api-key

The secret:// prefix is a convention — Pacto treats it as an opaque string value. Your platform tooling (Kubernetes operators, Terraform modules, deployment scripts) interprets these references and injects the actual secret at runtime. This keeps sensitive values out of the contract while making the dependency on secrets explicit and auditable.

Your configuration JSON Schema should declare secret fields as strings:

{
  "type": "object",
  "properties": {
    "DB_PASSWORD": { "type": "string", "description": "Database password (secret reference)" },
    "API_KEY": { "type": "string", "description": "Stripe API key (secret reference)" }
  },
  "required": ["DB_PASSWORD", "API_KEY"]
}

Configuration Schema Ownership Models

The configurations schema field is an interface. It defines a boundary between a service and its environment. The schema itself is always a JSON Schema document — but its meaning depends on who defines it. Because it is a plain JSON Schema, this is usually a schema you already have rather than one written for Pacto — a service's configuration interface is often its Helm chart's values.schema.json, vendored into the bundle (see below). Compose the interface you already have; Pacto is deliberately not another configuration language.

Service-Defined Schema

When a service defines its own configuration schema, the schema expresses what the service requires to run. The service author knows what configuration keys the service reads, what types they expect, and which ones are mandatory.

configurations:
  - name: default
    schema: configuration/schema.json

The contract carries its own requirements, so each team defines exactly what its service needs and the bundle deploys on any platform. See Composition patterns for when to choose this model.

Platform-Defined Schema

When a platform team defines a shared configuration schema, the schema expresses what the platform provides. It describes the platform's capabilities — databases, caches, observability endpoints, feature flags — as a structured contract.

There are two approaches for distributing platform schemas:

Vendored (local path): The platform team publishes the schema externally, and services copy it into their bundle at build time:

configurations:
  - name: platform
    schema: configuration/platform-schema.json

Referenced (OCI): Services reference the platform's configuration contract directly via configurations[].ref. No vendoring required — Pacto resolves the schema from the referenced bundle at the fixed path configuration/schema.json:

configurations:
  - name: platform
    ref: oci://ghcr.io/acme/platform-config-pacto:1.0.0

All services share a common configuration vocabulary the platform team controls and validates centrally — whether referenced via OCI or vendored locally. See Platform engineers and Composition patterns for the platform-as-a-product recipe.

Info

In Pacto, the configuration schema is an interface. Depending on ownership, it describes either:

  • what a service requires (service-defined), or
  • what a platform provides (platform-defined)

The schema format and validation mechanics are identical in both cases. The difference is purely one of ownership and intent.

Hybrid Approaches

In practice, organizations may combine both models — a platform-defined base schema that covers shared infrastructure (database connections, observability, secrets) with service-specific extensions for application-level configuration. Pacto does not prescribe a specific pattern; the schema format is identical regardless of where it originates. Since configurations is an array, you can have multiple named entries — one referencing a platform schema and another defining a service-specific schema. Note that schema and ref are mutually exclusive within a single entry — choose one approach per entry.


policies

Defines or references policy constraints for the contract. Optional — services not subject to a policy may omit this section entirely. A policy is a JSON Schema that validates the contract itself, enabling platform teams to enforce organizational standards (e.g., require health endpoints, mandate specific ports, enforce visibility rules).

When present, each entry must have a name and either schema or ref specified.

Field Type Required Constraints
name string Yes Non-empty identifier for the policy entry
schema string Conditional Non-empty. Path to a JSON Schema file in the bundle (convention: policy/schema.json). Required if ref is not set
ref string Conditional Non-empty. OCI or local reference to another Pacto contract. If the referenced contract declares policies[], those schemas are used directly; otherwise falls back to the fixed path policy/schema.json. Required if schema is not set

schema and ref are mutually exclusive — a contract either defines its own policy inline or references an external one, not both.

Policy as a contract author

To define a policy, create a JSON Schema that describes constraints on pacto.yaml contracts and place it at policy/schema.json in the bundle:

# pacto.yaml — a policy contract
pactoVersion: "1.0"
service:
  name: platform-policy
  version: 1.0.0
  owner:
    team: platform
policies:
  - name: platform-policy
    schema: policy/schema.json

Example policy schema (policy/schema.json) requiring all contracts to have a health check:

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "type": "object",
  "required": ["runtime"],
  "properties": {
    "runtime": {
      "type": "object",
      "required": ["health"],
      "properties": {
        "health": {
          "type": "object",
          "required": ["interface", "path"]
        }
      }
    }
  }
}

Policy as a contract consumer

To adopt a policy, reference the policy contract via OCI:

policies:
  - name: platform-policy
    ref: oci://ghcr.io/acme/platform-policy-pacto:1.0.0

When a consumer references a policy contract, Pacto uses conditional resolution: if the referenced contract explicitly declares policies[] entries, those schemas are used directly (supporting custom paths and multiple schemas). If the referenced contract has no policies[] entries, Pacto falls back to reading the fixed path policy/schema.json. The reference supports recursive resolution: if the referenced contract itself has a policies[].ref, Pacto follows the chain (with cycle detection) using the same OCI resolution and caching infrastructure as dependencies.

Tip

Like configurations[].ref, policy references create reference edges in the dependency graph. Use pacto graph --with-references to see them alongside dependencies.

Warning

Local policy references (file:// and bare paths) are only allowed during development. pacto push rejects contracts with local policies[].ref — all refs must use oci:// before publishing.

Info

pacto push resolves and enforces all remote policies[].ref entries before publishing. If the contract violates any referenced policy schema, the push is rejected. This ensures non-compliant contracts are never published to the registry.

Tip

Policy references are pinned in pacto.lock alongside dependencies and config references. The full transitive reference closure is resolved and verified. See Lockfile.

Bundle structure with policy

/
├── pacto.yaml
├── interfaces/              ← optional
├── configuration/           ← optional
│   └── schema.json
├── policy/                  ← optional
│   └── schema.json          ← policy schema (for policy authors)
├── docs/                    ← optional
└── sbom/                    ← optional

dependencies

Declares dependencies on other services via their Pacto contracts.

Field Type Required Constraints
name string Yes Non-empty identifier for the dependency
ref string Yes Non-empty. OCI reference (oci://...) or local path (file://... or bare path)
required boolean No Default: false
compatibility string Yes Non-empty. Valid semver constraint

Note

required is informational. Pacto itself does not act on it — it is metadata for downstream consumers (the dashboard uses it to compute blast radius; deployment tooling may use it to gate rollout). Treat it as a declaration of intent, not a deployment-time guard.

Dependency reference schemes

Scheme Example Description
oci:// oci://ghcr.io/acme/auth-pacto:1.0.0 OCI registry reference (required for pacto push)
oci:// (no tag) oci://ghcr.io/acme/auth-pacto Resolved to the highest semver tag satisfying compatibility
file:// file://../shared-db Local filesystem path
(bare path) ../shared-db Local filesystem path (shorthand for file://)

When an oci:// reference omits the tag, pacto queries the registry for available tags and selects the highest semver version that satisfies the compatibility constraint. For example, with compatibility: "^2.0.0" and available tags 1.0.0, 2.0.0, 2.3.0, 3.0.0, pacto resolves to 2.3.0. Tag listings are cached in memory for the duration of the command, so multiple dependencies pointing to the same repository only trigger a single registry query.

Note

Validation rejects OCI references whose tag or digest is malformed. Tags must follow the OCI tag grammar ([A-Za-z0-9_][A-Za-z0-9._-]{0,127}), and digests must be well-formed (sha256:<64 hex> or sha512:<128 hex>). The same check applies to service.image.ref, service.chart.ref, and config/policy refs.

Compatibility constraint examples

Pacto uses Masterminds/semver constraint syntax:

Constraint Matches Use case
^2.0.0 >= 2.0.0, < 3.0.0 Accept patches and minors within a major version
~2.1.0 >= 2.1.0, < 2.2.0 Accept only patches within a minor version
>= 2.0.0 2.0.0 and above (including 3.x, 4.x, …) Track the latest version above a floor
>= 2.0.0, < 4.0.0 2.x and 3.x only Constrain to a range of major versions
* Any version Always resolve to the absolute latest

Warning

Local dependency references (file:// and bare paths) are only allowed during development. pacto push rejects contracts with local dependencies — all refs must use oci:// before publishing.

Tip

Use digest-pinned references (oci://...@sha256:...) for production contracts. Tag-based references produce a validation warning.

Tip

If your service depends on a cloud-managed resource (e.g. GCP Cloud SQL, AWS SNS, Azure Service Bus), create a lightweight Pacto contract representing that resource and reference it as a dependency. This makes cloud dependencies explicit and version-tracked alongside your service contracts.

Tip

Use pacto lock to pin the full transitive dependency closure to exact digests. When a pacto.lock file is present, every resolved dependency must match the pinned digest or the command fails. See Lockfile for details.


runtime

Describes how the service behaves at runtime. This section is what lets platforms make informed deployment decisions without guessing. Optional — a minimal contract (e.g. a lightweight dependency declaration) may omit it entirely.

Field Type Required
workload string Yes
state State Yes
lifecycle Lifecycle No
health Health No
metrics Metrics No

runtime.workload

A plain string describing the workload type. Enum: service, job, scheduled.

Value Description
service A long-running process that serves requests continuously
job A one-shot task that runs to completion and then exits
scheduled A task that runs on a recurring schedule (e.g. cron)

runtime.state

Instead of platforms guessing whether a service needs persistent storage, stable network identity or special upgrade procedures, the contract declares it explicitly.

Field Type Required Enum values
type string Yes stateless, stateful, hybrid
persistence Persistence Yes
dataCriticality string Yes low, medium, high

State types:

Value What it means Example services
stateless No data retained between requests. Any instance can handle any request. Instances are interchangeable. REST APIs, reverse proxies, API gateways
stateful Retains data between requests. Requires stable storage or instance affinity. Databases, message brokers, distributed caches
hybrid Handles requests statelessly but keeps selective in-memory or local state that enriches behavior. Loss of that state degrades but doesn't break the service. APIs with local caches, services with in-memory session stores

How platforms interpret state:

The combination of state.type, persistence.scope and persistence.durability tells a platform exactly what infrastructure a service needs — these are platform-agnostic signals, not Kubernetes prescriptions. See Platform engineers for the full contract-field → platform-decision mapping (Deployment/StatefulSet/PVC and the equivalents on Nomad, ECS or a custom platform).

Data criticality:

Value What it means
low Loss of data has minimal impact. Can be regenerated or is non-essential.
medium Loss has moderate impact. May require manual recovery.
high Loss has severe business impact. Must be prevented. Implies backups, replication, stricter disruption budgets.

Persistence

Field Type Required Enum values
scope string Yes local, shared
durability string Yes ephemeral, persistent
  • local — data is confined to a single instance. Not shared across replicas.
  • shared — data is shared across all instances via a common store.
  • ephemeral — data can be lost on restart without impact. Caches, temp files, reconstructible state.
  • persistent — data must survive restarts. Requires durable storage.

State invariants

Condition Constraint
type: stateless durability must be ephemeral
durability: persistent type must be stateful or hybrid

These invariants are enforced by both the JSON Schema and cross-field validation. A stateless service with persistent storage is a contradiction — validation catches it.

runtime.lifecycle

Optional. Describes upgrade and shutdown behavior.

Field Type Required Enum values / Constraints
upgradeStrategy string No rolling, recreate, ordered
gracefulShutdownSeconds integer No Minimum: 0

runtime.health

Field Type Required Constraints
interface string Yes Must reference a declared http or grpc interface
path string Conditional Required when health interface is http
initialDelaySeconds integer No Minimum: 0

runtime.metrics

Optional. Tells the platform where to scrape metrics from the service (e.g. Prometheus endpoint).

Field Type Required Constraints
interface string Yes Must reference a declared http or grpc interface
path string Conditional Required when metrics interface is http
runtime:
  metrics:
    interface: api
    path: /metrics

scaling

Optional. Defines replica count as either an exact number or a min/max range. Uses one of two mutually exclusive forms.

Fixed replica count

Field Type Required Constraints
replicas integer Yes Minimum: 0. Mutually exclusive with min/max
scaling:
  replicas: 3

Auto-scaling range

Field Type Required Constraints
min integer Yes Minimum: 0. Mutually exclusive with replicas
max integer Yes Minimum: 0. Must be >= min. Mutually exclusive with replicas
scaling:
  min: 2
  max: 10

How the two forms relate. replicas is shorthand: at parse time min and max are also set to replicas so state-based tooling (operator, dashboard) reads a min/max range. pacto diff still distinguishes the forms: two replicas-form contracts report a scaling.replicas change; switching between forms reports a whole-scaling change.

Warning

Scaling must not be applied to job workloads.

0 is not scale-to-zero

The JSON Schema declares minimum: 0 for min/max/replicas, but min and max are plain (non-pointer) integers internally, so an explicit 0 is indistinguishable from an omitted value. The operator and dashboard treat 0 bounds as "unset" and drop them — Pacto does not model scale-to-zero. Use min: 1 if you need an explicit lower bound to be reported.


readiness

Optional. Requires pactoVersion: "1.2". Declares operational readiness state for the service in a provider-neutral way. Each check has a completion status, optional category and weight. The assessment includes an expiry date and scoring configuration. Pacto computes a readiness score from check statuses and weights.

readiness:
  expires: "2027-06-30"  # assessment-level expiry (YYYY-MM-DD)
  minScore: 80           # gate: the derived score must be >= this (omitted ⇒ 100)
  partialCredit: 0.5     # weight multiplier for partial checks (omitted ⇒ 0.5)

  checks:
    - id: dashboard
      type: url
      status: done
      category: observability
      weight: 20
      evidence: https://grafana.example.com/d/service-dashboard
      description: Main production dashboard

    - id: runbook
      type: document
      status: partial
      category: documentation
      weight: 15
      evidence: docs/runbook.md
      description: Incident runbook exists but missing escalation procedures

    - id: security-review
      type: ticket
      status: not-done
      category: security
      weight: 25
      evidence: JIRA-1234
      description: Security assessment pending

    - id: legacy-cleanup
      type: ticket
      status: deferred
      category: code-quality
      weight: 10
      evidence: TECH-5678
      description: Post-launch cleanup task

  history:
    - date: "2026-12-15"
      version: 1.0.0
      author: alice
      description: Initial readiness assessment

readiness.expires, readiness.checks[] and per-check status are required when readiness is present. readiness.minScore, readiness.partialCredit and readiness.history[] are optional.

readiness fields:

Field Type Required Constraints
expires string Yes Assessment-level expiry as a strict YYYY-MM-DD date. If the current date is past this date, ALL checks earn 0 weight regardless of status. Parsing is exact round-trip: zero-padded fields required and the value must re-serialize unchanged, so 2026-1-1, RFC 3339 timestamps and impossible dates (e.g. 2026-02-30) are rejected.
minScore integer No Gate threshold on the same 0–100 scale as the score. Omitted ⇒ 100 (full compliance required). Enforced by pacto validate --readiness and the operator.
partialCredit number No Multiplier for partial status checks (0.0–1.0). Omitted ⇒ 0.5 (half credit).
checks Check[] Yes At least one check.
history HistoryEntry[] No Audit trail of readiness assessment changes.

Check fields

Field Type Required Constraints
id string Yes Stable readiness requirement id. Pattern: ^[a-z0-9]([a-z0-9._-]*[a-z0-9])?$. Unique within the contract. Policies usually target this field.
type string Yes Enum: url, document, ticket, report, artifact, identifier, other. Evidence type.
status string Yes Enum: done, partial, not-done, deferred. Completion state for the check.
category string No Enum: architecture, testing, code-quality, observability, security, documentation, infrastructure, ci-cd, deployment, resilience, backup-recovery, incident-response, compliance, other. Categorizes the requirement type.
weight integer Yes Contribution to the readiness score. Range 0100.
evidence string Yes Evidence location (URL, file path, ticket ID, etc.). Non-empty.
description string No Optional human-readable explanation (non-blank when present).

History entry

Field Type Required Constraints
date string Yes Date of the change as YYYY-MM-DD.
version string Yes Contract version at the time of the change. Non-blank.
author string Yes Person or system that made the change. Non-blank.
description string Yes Description of what changed.

The service owner is declared at the contract level, so readiness checks carry no per-check owner. The readiness score is not stored in the contract — it is computed by tooling (pacto explain, the dashboard and the operator) from check statuses, weights, the assessment expiry and the current time.

Readiness score and gate

If assessment is expired (today > readiness.expires):
  score = 0

Otherwise:
  earnedWeight = sum of earned weights for all in-scope checks
    - deferred checks: excluded from both numerator and denominator
    - done: full weight
    - partial: round(weight × partialCredit)
    - not-done: 0

  totalWeight = sum of weights for all in-scope checks (excluding deferred)
  score = round(earnedWeight / totalWeight × 100)

passing = score >= minScore          # minScore defaults to 100

Worked example. Using the four checks from the example above (weights 20, 15, 25, 10): - legacy-cleanup has status: deferred → excluded from both numerator and denominator - In-scope weights: 20 + 15 + 25 = 60 (total) - dashboard (done, weight 20) → earns 20 - runbook (partial, weight 15) → earns round(15 × 0.5) = 8 - security-review (not-done, weight 25) → earns 0 - Earned weight: 20 + 8 + 0 = 28 - Score: round(28 / 60 × 100) = round(46.7) = 47

If the assessment is expired (current date past readiness.expires), the score is 0 regardless of individual check statuses.

Weights are relative. Only the ratio of weights matters — the score normalizes by totalWeight, so a weight of 20 reads as "20%" only when the weights sum to 100. They can sum to anything; making them sum to 100 just makes each read as a percentage directly. pacto explain and the dashboard show each check's normalized contribution so you never have to do the math.

Deferred checks are excluded entirely from scoring. Use status: deferred for post-launch cleanup tasks or requirements that don't apply to the current service stage.

The gate (minScore) turns the score from informational into actionable. It is a readiness threshold: with minScore: 80 you require 80% weighted completion; checks below that threshold fail the gate. The gate is evaluated by tooling, not baked into contract validity:

  • pacto explain shows Gate: PASS/FAIL (score N / minScore M).
  • pacto validate --readiness (off by default) fails when score < minScore. It is opt-in because it depends on the current time — making it time-dependent — which would otherwise make plain validate non-deterministic.
  • The operator sets status.readiness.passing and the ReadinessSatisfied condition from the same rule.

Because minScore is an authored literal, a policy can still enforce it org-wide (e.g. require readiness.minScore >= 80) — presence rules stay in policies, the threshold bar lives here.

Enforcing readiness with policies

The base schema never requires a specific check. Organizational standards are expressed as policies using standard JSON Schema. For example, to require a dashboard check with status: done, category: observability and weight >= 20:

{
  "type": "object",
  "required": ["readiness"],
  "properties": {
    "readiness": {
      "type": "object",
      "required": ["checks"],
      "properties": {
        "checks": {
          "type": "array",
          "contains": {
            "type": "object",
            "required": ["id", "status", "category", "weight"],
            "properties": {
              "id": { "const": "dashboard" },
              "status": { "const": "done" },
              "category": { "const": "observability" },
              "weight": { "minimum": 20 }
            }
          }
        }
      }
    }
  }
}

Combine multiple contains under allOf to require several checks (e.g. dashboard + runbook + security-review). Constraints JSON Schema cannot express — such as "total weight must equal 100" — are left to a future policy engine.


metadata

Optional. Free-form key-value pairs for organizational use. Not validated beyond type.

metadata:
  team: payments
  tier: critical
  on-call: "#payments-oncall"

additionalProperties: false — no extra fields allowed at any level (except inside metadata).

Tip

metadata is a deliberate extension point for tooling. Platform teams use it to attach signals their CI or deployment systems can read off a contract — for example, infrastructure contracts can carry metadata.labels like platform/provisioner: crossplane to drive provisioning generically. See Composition Patterns — Infrastructure contracts.