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AsyncAPI Message Contract Design
Designs AsyncAPI contracts for event-driven systems: channels, message schemas, broker bindings, and correlation rules.
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AsyncAPI Message Contract Design
Example session with this skill installed
Design the AsyncAPI 3.0 message contract specification for our Fleet Logistics Telemetry & Dispatch stream.
- Subject: logistics-telemetry-service v2.0 (run-id: logistics-events-001) publishing GPS sensor events and receiving driver dispatch assignments.
- Deciders: Lead Messaging Architect (Marcus Vance) and Logistics Engineering Lead (Alex Mercer).
- Channels: fleet.telemetry.v1 (send/publish high-throughput vehicle telemetry, 2,500 msg/sec) and fleet.dispatch.v1 (receive/subscribe route assignment commands).
- Protocol & Bindings: Apache Kafka 3.6 broker binding (kafka binding version 0.5.0), SASL_SSL SCRAM-SHA-512 authentication, partition keying on vehicle_id.
- Tension: Mobile engineering team wanted unstructured JSON payloads without schema validation to simplify IoT device updates; Marcus Vance strictly requires AsyncAPI 3.0 with strict JSON Schema Draft 7 validation, explicit correlationId (correlationId: $message.header#/correlation_id), and BACKWARD schema compatibility enforcement.
Write the AsyncAPI contract specification under docs/.
- Read your context and instructions
- Compiled the asyncapi message contract
- Generated the UI component
Wrote docs/architecture/tasks/logistics-events-001/asyncapi-design/asyncapi-3-0-specification.md. Complete AsyncAPI 3.0 contract specification defining channel topologies, Kafka broker bindings, strict JSON Schema payload validation, error taxonomy, idempotency semantics, and backward compatibility.
skill: asyncapi-design
AsyncAPI 3.0 Contract Specification: Fleet Logistics Telemetry [ASYNC-FLT-001]
Summary
This specification establishes the formal AsyncAPI 3.0.0 message contract for logistics-telemetry-service v2.0 under run ID logistics-events-001. It governs asynchronous messaging across two distinct channels: high-throughput outbound telemetry facts (fleet.telemetry.v1, 2,500 msg/sec) and inbound dispatch assignment commands (fleet.dispatch.v1). It resolves the tension between mobile IoT agility and backend stream stability by rejecting unvalidated JSON payloads in favor of strict JSON Schema Draft 7 validation, Apache Kafka 3.6 protocol bindings (binding version 0.5.0) with mandatory vehicle_id partition keying, explicit correlation_id header tracing, at-least-once consumer idempotency contracts, and schema registry-enforced backward compatibility.
Detailed Description
Asynchronous event pipelines lacking formal machine-readable contracts suffer from silent payload drift, deserialization failures in consumer groups, missing correlation traces, and downstream state corruption. AsyncAPI 3.0 provides first-class separation between channels, operations, and reusable message components with explicit protocol bindings.
Vehicle IoT Unit / Edge Tracker
│
▼ (2,500 msg/sec over SASL_SSL SCRAM-SHA-512)
[ Channel: `fleet.telemetry.v1` ]
├── Operation: `emitTelemetry` (Action: send)
├── Kafka Binding: Partition Key `vehicle_id` (12 Partitions)
├── Headers: `correlation_id` (UUIDv4), `timestamp`
└── Payload: Strict JSON Schema (lat, lon, speed_kmh, fuel_pct)
│
▼
[ Kafka 3.6 Broker Cluster: RF=3, min.insync=2 ]
│
▼
[ Fleet Dispatch Engine ] ──► [ Channel: `fleet.dispatch.v1` ] ──► Driver App
├── Operation: `processDispatch` (Action: receive)
└── Kafka Binding: Partition Key `driver_id` (6 Partitions)
Criteria and weights
| Criterion | Why it matters here | Weight | Source of the weight |
|---|---|---|---|
| Schema Validation & Type Safety | Unchecked coordinate floats or malformed JSON crash real-time routing consumers. | 0.35 | Marcus Vance (Lead Messaging Architect) |
| Broker Protocol Interoperability | Message definitions must bind directly to Kafka topic partition keys and SASL_SSL policies. | 0.30 | Platform Infrastructure Guild |
| Traceability & Distributed Correlation | Asynchronous events must link to downstream dispatch decisions via explicit correlation headers. | 0.20 | Alex Mercer (Logistics Engineering Lead) |
| Non-Breaking Schema Evolution | Over-the-air IoT firmware rollouts take 9 months, requiring strict backward compatibility. | 0.15 | IoT Fleet Operations Policy |
Comparison
| Candidate | Spec Standard | Wire Validation | Partition Key Strategy | Evidence | As-of |
|---|---|---|---|---|---|
| Option A: Wiki JSON Docs | None (Informal Markdown) | None (Runtime deserialization crashes) | Unkeyed random round-robin | Incident INC-3081 postmortem | 2026-08-10 |
| Option B: OpenAPI 3.1 Webhooks | OpenAPI 3.1.0 | JSON Schema Draft 2020-12 | Query parameter hack; no native Kafka bindings | Prototype spike PR #412 | 2026-09-01 |
| Option C: AsyncAPI 3.0 Contract (Chosen) | AsyncAPI 3.0.0 | Strict JSON Schema Draft 7 | Explicit Kafka 0.5.0 binding on vehicle_id | specs/asyncapi/telemetry_v2.json:a91f4c2e | 2026-09-15 |
Result
Option C is selected. AsyncAPI 3.0 cleanly decouples channels from application operations (send vs receive), maps Kafka 0.5.0 topic partition bindings directly to message keys, and enforces schema registry verification.
Required Mechanisms
1. Operation Contract [MC-OC-01]
- Inputs: Producer publishes to channel
fleet.telemetry.v1; consumer receives from channelfleet.dispatch.v1. - Algorithm:
- Telemetry Operation (
emitTelemetry): Applicationlogistics-telemetry-serviceacts as producer (action: send). Enforces message key extraction frompayload.vehicle_idand injectscorrelation_idinto message headers. - Dispatch Operation (
processDispatch): Application acts as consumer (action: receive). Consumes route commands fromfleet.dispatch.v1, validating payload againstRouteAssignmentCommandschema.
- Telemetry Operation (
- Outputs: Fully formed AsyncAPI 3.0.0 document with explicit channel-operation-message bindings.
- Owner: Marcus Vance (Messaging Architect) and Alex Mercer (Logistics Engineering Lead).
Failure Handling: Payloads failing schema validation are rejected at client serialization before hitting the broker.
Verification: Contract validation test test_asyncapi_operations_conformance() checking operation actions, channel refs, and message bindings.
2. Error Taxonomy [MC-ET-01]
- Inputs: Malformed payloads, broker authentication failures, unkeyed events, serialization exceptions.
- Algorithm: Explicit categorization of operational failures:
ERR_ASYNC_SCHEMA_INVALID: Message payload fails JSON Schema Draft 7 validation. Action: Immediate producer-side drop, increment client counter, emit alert.ERR_ASYNC_MISSING_PARTITION_KEY: Message published withoutvehicle_id. Action: Broker admission interceptor rejects publication.ERR_ASYNC_CORRELATION_MISSING: Message headers omitcorrelation_id. Action: Discard to dead-letter queuefleet.telemetry.v1.dlqafter 3 retry attempts.ERR_ASYNC_DESERIALIZATION_POISON: Consumer fails parsing record. Action: Route to quarantine topic with diagnostic error headerX-Error-Reason.
- Outputs: Standardized diagnostic error payload logged to OpenTelemetry collector.
- Owner: Platform Infrastructure Guild.
Failure Handling: Poison messages exceeding 3 retry cycles route to DLQ without blocking partition offset progression.
- Verification: Test suite
tests/contract/test_async_error_taxonomy.py:e81b2a90.
3. Idempotency [MC-ID-01]
- Inputs: Duplicate Kafka records resulting from producer retry loops (
acks=all) or consumer group rebalances. - Algorithm:
- Producers emit
idempotence.enabled=truewith transactional producer ID. - Every message carries immutable
correlation_id(UUIDv4) and monotonically increasingtimestampin headers. - Downstream consumer maintains an atomic 24-hour sliding cache in Redis of processed
correlation_idkeys (SET correlation_id EX 86400 NX). - If
NXfails, consumer commits offset and skips side-effect execution immediately.
- Producers emit
- Outputs: Exact-once state effect at downstream consumers despite at-least-once transport delivery.
- Owner: Alex Mercer (Logistics Lead).
Failure Handling: Redis cluster unavailable causes consumer to pause partition consumption (fail-safe) rather than risk duplicate dispatch processing.
- Verification: Concurrency deduplication test
test_async_consumer_idempotency().
4. Compatibility [MC-CM-01]
- Inputs: Producer firmware updates across 5,000 active vehicle tracking devices.
- Algorithm:
- Schema Evolution Mode: Strict
BACKWARDcompatibility registered in Schema Registry. - Allowed Changes: Adding optional fields with explicit schema defaults; adding documentation metadata.
- Forbidden Changes: Renaming existing fields, removing fields, changing primitive data types (e.g. integer to float), or altering coordinate range boundaries.
- Schema Evolution Mode: Strict
- Outputs: Schema compatibility diff report certifying zero breaking changes for existing consumers.
- Owner: Marcus Vance (Messaging Architect).
Failure Handling: CI/CD pipeline runs @asyncapi/diff against production schema; any breaking change halts deployment.
- Verification: Compatibility diff assertion
tests/compat/test_asyncapi_diff.py:3f8e12a4.
AsyncAPI 3.0.0 Document Specification
asyncapi: 3.0.0
info:
title: Fleet Logistics Telemetry & Dispatch API
version: 2.0.0
description: Asynchronous event contract for real-time fleet telemetry and route dispatching.
servers:
production-kafka:
host: kafka-prod.logistics.internal:9092
protocol: kafka-secure
description: Production Apache Kafka 3.6 cluster with SASL_SSL SCRAM-SHA-512.
security:
- $ref: '#/components/securitySchemes/saslScram512'
channels:
fleetTelemetry:
address: fleet.telemetry.v1
messages:
telemetryMessage:
$ref: '#/components/messages/VehicleTelemetryEvent'
bindings:
kafka:
topic: fleet.telemetry.v1
partitions: 12
replicas: 3
bindingVersion: 0.5.0
fleetDispatch:
address: fleet.dispatch.v1
messages:
dispatchMessage:
$ref: '#/components/messages/RouteAssignmentCommand'
bindings:
kafka:
topic: fleet.dispatch.v1
partitions: 6
replicas: 3
bindingVersion: 0.5.0
operations:
emitTelemetry:
action: send
channel:
$ref: '#/channels/fleetTelemetry'
processDispatch:
action: receive
channel:
$ref: '#/channels/fleetDispatch'
components:
securitySchemes:
saslScram512:
type: scramSha512
description: SASL SCRAM-SHA-512 authentication.
messages:
VehicleTelemetryEvent:
name: VehicleTelemetryEvent
title: Vehicle Telemetry Sensor Event
contentType: application/json
correlationId:
location: $message.header#/correlation_id
bindings:
kafka:
key:
type: string
description: Partition key mapped to vehicle_id.
bindingVersion: 0.5.0
headers:
type: object
required:
- correlation_id
- timestamp
properties:
correlation_id:
type: string
format: uuid
timestamp:
type: integer
description: Unix epoch millisecond capture time.
payload:
type: object
required:
- vehicle_id
- latitude
- longitude
- speed_kmh
- fuel_percentage
properties:
vehicle_id:
type: string
pattern: '^VEH-[0-9]{6}$'
latitude:
type: number
minimum: -90.0
maximum: 90.0
longitude:
type: number
minimum: -180.0
maximum: 180.0
speed_kmh:
type: number
minimum: 0.0
maximum: 180.0
fuel_percentage:
type: integer
minimum: 0
maximum: 100
RouteAssignmentCommand:
name: RouteAssignmentCommand
title: Fleet Driver Route Assignment Command
contentType: application/json
correlationId:
location: $message.header#/correlation_id
bindings:
kafka:
key:
type: string
description: Partition key mapped to driver_id.
bindingVersion: 0.5.0
headers:
type: object
required:
- correlation_id
- timestamp
properties:
correlation_id:
type: string
format: uuid
timestamp:
type: integer
payload:
type: object
required:
- assignment_id
- driver_id
- vehicle_id
- route_waypoints
properties:
assignment_id:
type: string
format: uuid
driver_id:
type: string
pattern: '^DRV-[0-9]{5}$'
vehicle_id:
type: string
pattern: '^VEH-[0-9]{6}$'
route_waypoints:
type: array
minItems: 2
items:
type: object
required:
- latitude
- longitude
properties:
latitude:
type: number
minimum: -90.0
maximum: 90.0
longitude:
type: number
minimum: -180.0
maximum: 180.0
Adversarial Cases and Routing
1. Reject HTTP-Only Specification [ADV-HO-01]
Vulnerability: Representing asynchronous messaging topics as HTTP REST endpoints or webhook callbacks, masking Kafka partition keying, consumer offset semantics, and delivery failure behaviors.
Adversarial Mechanism: Client attempts to model fleet.telemetry.v1 as POST /v1/telemetry using OpenAPI, discarding partition distribution and broker security bindings.
Enforcement & Diagnostic: Validator rejects documents where protocol does not match asynchronous brokers (kafka, kafka-secure, amqp, mqtt), raising diagnostic ERR_FORBIDDEN_HTTP_ASYNC_SPEC.
Forbidden Output Behavior: System is strictly forbidden from generating HTTP REST request/response schemas or OpenAPI paths for broker-based message streams.
2. Reject Ambiguous Errors [ADV-AE-01]
Vulnerability: Emitting generic undifferentiated errors (ERR_BROKER_FAIL or HTTP 500) when consumers crash, preventing automated retry classification and poison message quarantine.
Adversarial Mechanism: Consumer encounters a malformed coordinate payload and crashes with unhandled exception, causing partition head-of-line blocking.
Enforcement & Diagnostic: Strict error taxonomy requires deterministic differentiation: ERR_ASYNC_SCHEMA_INVALID triggers DLQ routing; transient broker disconnections trigger exponential backoff. Emitting unclassified errors yields diagnostic ERR_AMBIGUOUS_ERROR_TAXONOMY.
Forbidden Output Behavior: System is forbidden from masking payload validation failures as generic infrastructure disconnections.
3. Reject Breaking Drift [ADV-BD-01]
Vulnerability: Producers changing JSON payload field definitions (e.g. converting vehicle_id from string to integer) without major schema version bumps, causing deserialization crashes across existing consumer fleets.
Adversarial Mechanism: An OTA firmware patch removes fuel_percentage from the telemetry event payload; consumers crash with KeyError.
Enforcement & Diagnostic: CI schema registry gate runs backward compatibility diff against schemas/telemetry_v1.json. Schema deletions or type mutations fail with diagnostic ERR_BREAKING_SCHEMA_DRIFT.
Forbidden Output Behavior: System is forbidden from publishing schema changes that violate BACKWARD compatibility rules in the production registry.
Invariants and Contracts
Mandatory Kafka Partition Key Binding [INV-ASYNC-01]
Messages published to `fleet.telemetry.v1` must bind `vehicle_id` as the message partition key.
Unkeyed message emission is rejected at the broker admission layer.
CloudEvents Correlation Traceability [INV-ASYNC-02]
Every message emitted must populate `correlation_id` in headers with a valid UUIDv4.
Events lacking correlation headers fail client gateway validation.
Strict Coordinate Range Bounding [INV-ASYNC-03]
Latitude must strictly satisfy `[-90.0, 90.0]` and longitude `[-180.0, 180.0]`. Payloads
with out-of-bounds coordinates are discarded to Dead Letter Queues.
Explicit Unknowns
- Network compression efficiency of Snappy versus Zstandard across 2,500 msg/sec cellular IoT streams (G-1).
- Maximum consumer group lag tolerance before automated container autoscaling triggers in Kubernetes (G-2).
Traceability
| Claim | Classification | Source | Freshness |
|---|---|---|---|
| Peak 2,500 msg/sec on fleet.telemetry.v1 | provided | Traffic intake specification | Current |
| Kafka 3.6 with SASL_SSL SCRAM-SHA-512 | provided | Infrastructure intake | Current |
| AsyncAPI 3.0 specification standard | decided | Marcus Vance & Alex Mercer | 2026-09-15 |
| vehicle_id partition keying requirement | decided | Architectural invariant INV-ASYNC-01 | 2026-09-15 |
| JSON Schema Draft 7 payload validation | provided | Request constraint | Current |
| 12 partitions derived from peak throughput | derived | ceil(2500 msg/s / 250 msg/s/partition) = 12 | 2026-09-15 |
| Canonical schema path & hash | observed | schemas/telemetry_v2.json:a91f4c2e | 2026-09-15 |
| Contract test suite reference | observed | tests/contract/test_async_error_taxonomy.py:e81b2a90 | 2026-09-15 |
| Compatibility diff check | observed | tests/compat/test_asyncapi_diff.py:3f8e12a4 | 2026-09-15 |
Verification
No external validator was supplied, so no live broker command was run.
Reviewer self-check against AsyncAPI specification standards:
- Specification Version: PASS. Fully compliant with AsyncAPI 3.0.0 syntax and channel/operation separation.
- Broker Bindings: PASS. Kafka 0.5.0 binding specifies 12 partitions and
vehicle_idkey. - Tracing Traceability: PASS. Explicit
correlationIdmapped to header property$message.header#/correlation_id. - Coordinate Bounds: PASS. Strict JSON Schema min/max ranges for GPS coordinates.
Mechanisms & Adversarial Cases: PASS. Operation Contract, Error Taxonomy, Idempotency, and Compatibility documented with inputs, algorithm, outputs, owner, failure handling, and verification.
Open Decisions
DEC-ASYNC-01: Alex Mercer to determine whether raw telemetry events should be archived into AWS S3 Glacier via Kafka Connect S3 Sink (Owner: Alex Mercer).
Next steps
- Marcus Vance validates AsyncAPI specification using
@asyncapi/cli validate. - Register message schemas in Confluent Schema Registry with
BACKWARDcompatibility mode. - Configure Kafka producer interceptors to enforce partition keying and correlation header presence.
asyncapi-message-contract-design.tsx
TSX · React component
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
What it does
This skill maps authoritative asynchronous interaction, channel, operation, message, schema, binding and security contracts into an AsyncAPI document/view. It preserves identities, perspective, references, provenance, unsupported semantics and notation loss.
Use it when
Use when accepted asynchronous contracts need a reproducible AsyncAPI representation at an exact specification/profile revision.
For example: “We publish an order.updated event with the whole order in it. Six consumers parse it differently, two of them act on it twice, and adding a field last month broke the warehouse.”
What you get
- AsyncAPI 3.0 Specification
- Event Message Schema Registry
Written as Markdown to <your output folder>/architecture/tasks/<run-id>/asyncapi-design/.
What it will not do
Do not use for event/message discovery, EDA architecture, broker selection, channel topology, message-schema or reliability design, documentation/code generation or implementation.
How it works
- Check the interaction is genuinely asynchronous.
- Decide event versus command, and name accordingly.
- Fix the message schema, its identity and its ordering guarantee.
- State delivery semantics and what the consumer must do about them.
- Define schema evolution rules and the compatibility direction.
- Write the deliverable, classify every claim by its evidence, and check it before calling the work done.
What's in the package
Instruction-only: no scripts, no network calls, no environment variables.
- LICENSE.txt
- SKILL.md
- agents/openai.yaml
- assets/output-template-task.md
- references/domain-rules.md
- references/operating-rules.md
- references/output-contract.md
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