🔗 Integration Blueprint¶

📘 What Is an Integration Blueprint?¶

An Integration Blueprint is a structured, agent-generated artifact that defines the system integration patterns, third-party connectors, middleware configurations, and inter-service communication strategies for a ConnectSoft-generated component — whether it's a microservice, module, API gateway, event-driven pipeline, or data integration layer.

It represents the integration contract of record, created during the generation pipeline and continuously evaluated by downstream agents, CI/CD pipelines, and runtime monitors.

In the AI Software Factory, the Integration Blueprint is not just documentation — it is a machine-readable contract for integration expectations, dependency management, and communication topology.

🧠 Blueprint Roles in the Factory¶

The Integration Blueprint plays a pivotal role in making integration composable, observable, and traceable:

🔗 Defines inter-service communication patterns, protocols, and contracts
🔌 Specifies third-party connector configurations, OAuth flows, and retry policies
📨 Maps message broker topologies, event schemas, and dead-letter strategies
🔄 Captures ETL/ELT pipeline definitions, transformation rules, and scheduling
🏚️ Documents legacy system bridges, anti-corruption layers, and protocol translations
🌐 Configures API gateway routing, circuit breaking, and rate limiting

It ensures that integration is not ad hoc, but a first-class agent responsibility in the generation pipeline.

🧩 Blueprint Consumers and Usage¶

Stakeholder / Agent	Usage
`Integration Architect Agent`	Designs integration patterns, middleware selection, connector specs
`API Designer Agent`	Defines API contracts, gateway routing, versioning strategies
`Event-Driven Architect Agent`	Configures message broker topologies, event schemas
`Backend Developer Agent`	Implements connectors and adapters
`Infrastructure Engineer Agent`	Provisions integration infrastructure (brokers, gateways, queues)
`DevOps Engineer Agent`	Manages integration pipelines and deployments
`Database Engineer Agent`	Configures ETL/ELT data pipelines
`Security Architect Agent`	Validates auth flows, token propagation, and encryption in transit
`Observability Agent`	Instruments integration telemetry, traces, and health checks

🧾 Output Shape¶

Each Integration Blueprint is saved as:

📘 Markdown: human-readable form for inspection, design validation, and architectural review
🧾 JSON: machine-readable structure for automated enforcement and agent consumption
📜 YAML: declarative configuration for middleware, brokers, and pipeline definitions
📡 AsyncAPI: event-driven API specs for message broker contracts
🔗 OpenAPI Extensions: custom integration metadata appended to existing API specs
🧠 Embedding: vector-encoded for memory graph and context tracking

📁 Storage Convention¶

blueprints/integration/{component-name}/integration-blueprint.md
blueprints/integration/{component-name}/integration-blueprint.json
blueprints/integration/{component-name}/connectors/
blueprints/integration/{component-name}/etl-pipelines/
blueprints/integration/{component-name}/broker-topology/
blueprints/integration/{component-name}/gateway-config/

🎯 Purpose and Motivation¶

The Integration Blueprint exists to solve one of the most persistent and costly problems in modern distributed systems:

"Integration is either fragmented across teams, inconsistently documented, or manually maintained — leading to brittle, opaque, and failure-prone system boundaries."

In the ConnectSoft AI Software Factory, integration is designed at the blueprint level, making it:

✅ Deterministic (agent-generated, based on traceable inputs and declared dependencies)
✅ Repeatable (diffable and validated through CI/CD on every change)
✅ Observable (integrated with metrics, traces, and health dashboards)
✅ Composable (aligned with service, security, and infrastructure blueprints)
✅ Resilient (circuit breakers, retries, and dead-letter queues declared upfront)

🚨 Problems It Solves¶

Problem Area	How the Integration Blueprint Helps
🧩 Fragmented Integration Patterns	Standardizes ESB, event-driven, and API composition patterns across services
🔌 Inconsistent API Gateway Configs	Declares route definitions, middleware chains, and auth flows centrally
📦 Undocumented Third-Party Deps	Catalogs all external API dependencies with SLA, auth, and version info
🔄 Manual ETL/ELT Management	Codifies data pipeline definitions, schedules, and transformation rules
🏚️ Legacy System Bridging Gaps	Defines anti-corruption layers, adapter patterns, and protocol translations
📨 Untracked Message Broker Topology	Maps exchanges, queues, topics, DLQs, and retry policies declaratively
🔗 Inconsistent Inter-Service Comms	Standardizes gRPC, REST, GraphQL, and event-driven communication contracts
🪝 Undocumented Webhook Configs	Declares inbound/outbound webhook payloads, schemas, and retry policies
📉 Missing Integration Health Metrics	Instruments connector health, message throughput, and pipeline success rates

🧠 Why Blueprints, Not Just Configuration Files?¶

While traditional environments rely on scattered config files, ad hoc scripts, or tribal knowledge, the Factory approach uses blueprints because:

Blueprints are memory-linked to every module and trace ID
They are machine-generated and human-readable
They support forward/backward analysis across versions and changes
They coordinate multiple agents across Integration, Dev, Ops, and Data clusters
They enable contract testing against declared integration boundaries
They provide drift detection when runtime behavior diverges from declared topology

This allows integration to be treated as code — but also as a living architectural asset.

🧠 Agent-Created, Trace-Ready Artifact¶

In the ConnectSoft AI Software Factory, the Integration Blueprint is not written manually — it is generated, enriched, and validated by multiple agents, then stored as part of the system's memory graph.

This ensures every integration contract is:

📌 Traceable to its origin prompt, product feature, or architectural decision
🔁 Regenerable with context-aware mutation when dependencies or patterns change
📊 Auditable through observability-first design
🧠 Embedded into the long-term agentic memory system

🤖 Agents Involved in Creation¶

Agent	Responsibility
`🔗 Integration Architect Agent`	Designs integration topology, selects patterns, defines connector contracts
`🌐 API Designer Agent`	Specifies REST/GraphQL/gRPC contracts, versioning, and gateway routing
`📨 Event-Driven Architect Agent`	Configures broker topologies, event schemas, and saga orchestration
`🛠️ Backend Developer Agent`	Implements adapters, connectors, and protocol bridges
`📦 Infrastructure Engineer Agent`	Provisions message brokers, API gateways, and integration middleware
`🚀 DevOps Engineer Agent`	Manages integration deployment pipelines, health checks, and rollbacks
`🗄️ Database Engineer Agent`	Designs ETL/ELT pipelines, data mappings, and transformation rules
`🛡️ Security Architect Agent`	Injects auth flows, encryption policies, and credential management

Each agent contributes signals, decisions, and enriched metadata to create a complete, executable integration artifact.

📈 Memory Traceability¶

Integration Blueprints are:

🔗 Linked to the project-wide trace ID
📂 Associated with the microservice, module, or gateway they integrate
🧠 Indexed in vector memory for AI reasoning and enforcement
📜 Versioned and tagged (v1, approved, drifted, deprecated, etc.)
🔄 Cross-referenced with upstream service blueprints and downstream consumer contracts

This makes the blueprint machine-auditable, AI-searchable, and human-explainable.

📁 Example Storage and Trace Metadata¶

traceId: trc_92ab_OrderService_integration_v1
agentId: integration-architect-001
serviceName: OrderService
integrationProfile: event-driven
connectorCount: 4
brokerTopology: rabbitmq-cluster
tags:
  - message-broker
  - third-party-api
  - etl-pipeline
  - saga-orchestration
version: v1
state: approved

📦 What It Captures¶

The Integration Blueprint encodes a comprehensive set of integration dimensions that affect a service or module throughout its lifecycle — from design to runtime.

It defines what needs to be integrated, how, and under what constraints — making it a living contract between the generated component and its external dependencies, peer services, and data sources.

🔗 Core Integration Elements Captured¶

Category	Captured Details
Integration Patterns	ESB, API composition, message broker, saga, event sourcing, CQRS
Third-Party Connector Specs	OAuth flows, API key management, rate limiting, retry policies, SLA tracking
Middleware Configuration	Message brokers (RabbitMQ, Azure Service Bus, Kafka), API gateways
ETL/ELT Pipeline Definitions	Data transformation rules, scheduling, source/target mappings, monitoring
Legacy System Bridges	Adapter patterns, anti-corruption layers, protocol translation
Inter-Service Communication	gRPC, REST, GraphQL, event-driven patterns, request/reply, pub/sub
API Gateway Routing	Route definitions, load balancing, circuit breaking, rate limiting
Webhook Configuration	Inbound/outbound webhook definitions, payload schemas, retry policies
Data Format Translations	JSON/XML/CSV/Protobuf/Avro serialization, schema registry references
Health & Connectivity Probes	Endpoint health checks, connectivity tests, dependency readiness probes

📎 Blueprint Snippet (Example)¶

integrationPatterns:
  primary: event-driven
  secondary: api-composition
  sagaOrchestration:
    enabled: true
    coordinator: "OrderSagaOrchestrator"

thirdPartyConnectors:
  - name: stripe-payments
    type: rest-api
    baseUrl: https://api.stripe.com/v1
    auth:
      type: api-key
      keyRef: secrets/stripe/api-key
    rateLimiting:
      maxRequestsPerSecond: 25
      retryPolicy:
        maxRetries: 3
        backoffStrategy: exponential
        initialDelayMs: 500

  - name: sendgrid-email
    type: rest-api
    baseUrl: https://api.sendgrid.com/v3
    auth:
      type: api-key
      keyRef: secrets/sendgrid/api-key
    rateLimiting:
      maxRequestsPerSecond: 100

messageBroker:
  provider: rabbitmq
  exchanges:
    - name: order.events
      type: topic
      durable: true
  queues:
    - name: order.created
      bindingKey: order.created.#
      exchange: order.events
      deadLetterExchange: order.events.dlx
  retryPolicy:
    maxRetries: 5
    backoffMultiplier: 2

interServiceCommunication:
  - target: InventoryService
    protocol: grpc
    protoRef: protos/inventory/v1/inventory.proto
  - target: NotificationService
    protocol: async
    channel: notification.events

🧠 Cross-Blueprint Intersections¶

Security Blueprint → defines auth flows, token propagation, and encryption for integration channels
Infrastructure Blueprint → provisions message brokers, API gateways, and network policies
Service Blueprint → defines the microservice endpoints and runtime boundaries being integrated
Test Blueprint → generates contract tests, integration tests, and chaos scenarios
Observability Blueprint → instruments integration telemetry, traces, and health metrics

The Integration Blueprint aggregates, links, and applies integration rules across all of these — ensuring coherence and alignment.

🗂️ Output Formats and Structure¶

The Integration Blueprint is generated and consumed across multiple layers of the AI Software Factory — from human-readable design reviews to machine-enforced CI/CD policies.

To support both automation and collaboration, it is produced in six coordinated formats, each aligned with a different set of use cases.

📄 Human-Readable Markdown (`.md`)¶

Used in Studio, code reviews, architecture reviews, and documentation layers.

Sectioned by category: patterns, connectors, brokers, pipelines, gateways
Rich formatting with Mermaid diagrams and annotated YAML examples
Includes links to upstream and downstream blueprints
Embedded decision rationale for pattern and middleware choices

📜 Machine-Readable JSON (`.json`)¶

Used by agents, pipelines, and enforcement scripts.

Flattened and typed
Includes metadata and trace headers
Validated against a shared integration schema
Compatible with policy-as-code validators and contract testing frameworks

Example excerpt:

{
  "traceId": "trc_92ab_OrderService_integration_v1",
  "integrationPatterns": {
    "primary": "event-driven",
    "secondary": "api-composition",
    "sagaEnabled": true
  },
  "connectors": [
    {
      "name": "stripe-payments",
      "type": "rest-api",
      "auth": "api-key",
      "rateLimitRps": 25,
      "retryPolicy": {
        "maxRetries": 3,
        "backoff": "exponential"
      }
    }
  ],
  "messageBroker": {
    "provider": "rabbitmq",
    "exchanges": ["order.events"],
    "queues": ["order.created"],
    "deadLetterEnabled": true
  }
}

📡 AsyncAPI Specification (`.asyncapi.yaml`)¶

Used for event-driven API documentation and code generation.

Defines channels, message schemas, and server bindings
Compatible with AsyncAPI Studio and code generators
Enables consumer-driven contract testing for event schemas

🔗 OpenAPI Extensions (`.openapi-ext.yaml`)¶

Used to extend existing OpenAPI specs with integration metadata.

Adds x-integration-* extensions for connector configs, gateway routing, and retry policies
Compatible with API documentation tools and gateway provisioning scripts

🔁 CI/CD Compatible Snippets (`.yaml` fragments)¶

Used to inject integration logic into pipelines, health checks, and deployment manifests.

Broker connectivity validation steps
Connector health-check probes
ETL pipeline trigger definitions
Gateway route verification tests

🧠 Embedded Memory Shape (Vectorized)¶

Captured in agent long-term memory
Indexed by concept (e.g., rabbitmq, saga, etl, stripe, grpc)
Linked to all agent discussions, generations, and validations
Enables trace-based enforcement and reuse across projects

🧭 Integration Patterns Catalog¶

The Integration Blueprint includes a catalog of supported integration patterns, each with clear guidelines for when to apply, how to configure, and which agents participate in their implementation.

🏗️ Pattern Overview¶

flowchart TD
    subgraph Patterns["🔗 Integration Patterns"]
        APIComp["🌐 API Composition"]
        EventDriven["📨 Event-Driven"]
        Saga["🔄 Saga Orchestration"]
        CQRS["📊 CQRS Integration"]
        Strangler["🏚️ Strangler Fig"]
        ESB["🔌 Enterprise Service Bus"]
        Webhook["🪝 Webhook"]
        BFF["📱 Backend-for-Frontend"]
    end

    subgraph Agents["🤖 Agent Participants"]
        IntArch["Integration Architect"]
        APIDes["API Designer"]
        EventArch["Event-Driven Architect"]
        BackDev["Backend Developer"]
    end

    IntArch --> Patterns
    APIDes --> APIComp
    APIDes --> BFF
    EventArch --> EventDriven
    EventArch --> Saga
    EventArch --> CQRS
    BackDev --> Strangler
    BackDev --> ESB
    BackDev --> Webhook

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🌐 API Composition Pattern¶

Aggregates data from multiple downstream services into a single response for the client.

When to Use: * Client needs data from 2+ microservices in a single request * Reducing frontend round-trips is critical for performance * Services have low-latency, synchronous dependencies

Blueprint Declaration:

patterns:
  apiComposition:
    enabled: true
    compositor: "OrderCompositorService"
    downstreamServices:
      - name: ProductService
        protocol: rest
        endpoint: /api/v1/products/{id}
        timeout: 2000ms
      - name: PricingService
        protocol: grpc
        protoRef: protos/pricing/v1/pricing.proto
        timeout: 1500ms
      - name: InventoryService
        protocol: rest
        endpoint: /api/v1/inventory/{sku}
        timeout: 1000ms
    fallbackStrategy: partial-response
    circuitBreaker:
      threshold: 5
      resetTimeout: 30s

📨 Event-Driven Pattern¶

Services communicate asynchronously through events published to message brokers.

When to Use: * Loose coupling between producer and consumer is required * Eventual consistency is acceptable * High throughput and decoupled scaling are priorities

Blueprint Declaration:

patterns:
  eventDriven:
    enabled: true
    broker: rabbitmq
    eventSchema:
      format: cloudEvents
      registry: schemas/events/
    publishChannels:
      - name: order.created
        exchange: order.events
        routingKey: order.created.v1
    subscribeChannels:
      - name: payment.completed
        queue: order.payment-completed
        bindingKey: payment.completed.#
    guarantees:
      delivery: at-least-once
      ordering: per-partition

🔄 Saga Orchestration Pattern¶

Coordinates long-running, distributed transactions across multiple services using a central orchestrator.

When to Use: * Multi-step business processes span several services * Compensating transactions are required on failure * Consistency guarantees are needed across service boundaries

sequenceDiagram
    participant Orch as Saga Orchestrator
    participant Order as OrderService
    participant Payment as PaymentService
    participant Inventory as InventoryService
    participant Notify as NotificationService

    Orch->>Order: CreateOrder
    Order-->>Orch: OrderCreated
    Orch->>Payment: ProcessPayment
    Payment-->>Orch: PaymentSucceeded
    Orch->>Inventory: ReserveStock
    Inventory-->>Orch: StockReserved
    Orch->>Notify: SendConfirmation
    Note over Orch: On failure at any step:
    Orch->>Inventory: CompensateStock
    Orch->>Payment: RefundPayment
    Orch->>Order: CancelOrder

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Blueprint Declaration:

patterns:
  saga:
    enabled: true
    type: orchestration
    orchestrator: "OrderSagaOrchestrator"
    steps:
      - name: createOrder
        service: OrderService
        action: CreateOrder
        compensate: CancelOrder
      - name: processPayment
        service: PaymentService
        action: ProcessPayment
        compensate: RefundPayment
      - name: reserveStock
        service: InventoryService
        action: ReserveStock
        compensate: ReleaseStock
      - name: sendConfirmation
        service: NotificationService
        action: SendConfirmation
        compensate: null
    timeout: 30s
    retryPolicy:
      maxRetries: 2
      backoff: exponential

📊 CQRS Integration Pattern¶

Separates read and write models, allowing independent scaling and optimization of query and command paths.

When to Use: * Read and write workloads have vastly different scaling needs * Complex querying requires denormalized read models * Event sourcing is used as the primary data persistence strategy

Blueprint Declaration:

patterns:
  cqrs:
    enabled: true
    commandSide:
      service: OrderCommandService
      protocol: rest
      eventStore:
        provider: eventStoreDb
        stream: orders
    querySide:
      service: OrderQueryService
      protocol: graphql
      readModel:
        provider: elasticsearch
        index: orders-read
    projection:
      type: async
      channel: order.events
      projector: OrderReadModelProjector

🏚️ Strangler Fig Pattern (Legacy Migration)¶

Incrementally replaces legacy system functionality with new microservices while maintaining backward compatibility.

When to Use: * Migrating from monolithic or legacy systems * Zero-downtime migration is required * Gradual feature-by-feature replacement is preferred

Blueprint Declaration:

patterns:
  stranglerFig:
    enabled: true
    legacySystem:
      name: LegacyOrderSystem
      protocol: soap
      wsdlRef: legacy/orders.wsdl
    facadeProxy:
      name: OrderFacadeGateway
      routingRules:
        - path: /api/orders/create
          target: NewOrderService
          protocol: rest
        - path: /api/orders/legacy/*
          target: LegacyOrderSystem
          protocol: soap-to-rest-bridge
    migrationPhase: "phase-2-of-4"
    rollbackStrategy: route-to-legacy

🪝 Webhook Pattern¶

Defines inbound and outbound webhook endpoints for event notification with external systems.

When to Use: * External systems need real-time notifications of internal events * Third-party services push events to your system (e.g., payment confirmations) * Polling-based integration is too expensive or latency-sensitive

Blueprint Declaration:

patterns:
  webhooks:
    inbound:
      - name: stripe-payment-webhook
        path: /webhooks/stripe
        verificationMethod: signature
        signatureHeader: Stripe-Signature
        secretRef: secrets/stripe/webhook-secret
        payloadSchema: schemas/stripe-payment-event.json
        retryExpectation: at-least-once
    outbound:
      - name: order-status-callback
        targetUrl: "{subscriberCallbackUrl}"
        events: ["order.shipped", "order.delivered"]
        retryPolicy:
          maxRetries: 5
          backoffStrategy: exponential
          initialDelayMs: 1000
        payloadSchema: schemas/order-status-event.json
        hmacSignature:
          algorithm: sha256
          secretRef: secrets/webhook/signing-key

📱 Backend-for-Frontend (BFF) Pattern¶

Creates dedicated API layers tailored for specific frontend clients.

When to Use: * Mobile and web clients have different data shape requirements * Reducing over-fetching and under-fetching per client type * Client-specific aggregation and transformation logic is needed

Blueprint Declaration:

patterns:
  bff:
    enabled: true
    clients:
      - name: mobile-bff
        protocol: rest
        basePath: /api/mobile/v1
        aggregates:
          - source: OrderService
            fields: [orderId, status, total]
          - source: UserService
            fields: [displayName, avatarUrl]
      - name: web-bff
        protocol: graphql
        basePath: /api/web/graphql
        schema: schemas/web-bff.graphql

🤖 Pattern Selection Agent Logic¶

Pattern	Primary Agent	Selection Criteria
API Composition	`API Designer Agent`	Multiple sync dependencies, low latency needs
Event-Driven	`Event-Driven Architect Agent`	Async workflows, eventual consistency, high throughput
Saga	`Event-Driven Architect Agent`	Multi-step distributed transactions, compensation needed
CQRS	`Integration Architect Agent`	Divergent read/write scaling, event-sourced aggregates
Strangler Fig	`Integration Architect Agent`	Legacy migration, gradual replacement, backward compatibility
Webhook	`Backend Developer Agent`	External event notification, third-party push integration
BFF	`API Designer Agent`	Multi-client APIs, client-specific aggregation

🔌 Third-Party Integration Management¶

The Integration Blueprint provides a structured approach to declaring, versioning, monitoring, and securing all external API dependencies consumed by ConnectSoft-generated components.

📋 Connector Registry¶

Every third-party integration is registered as a connector with full metadata:

connectors:
  - name: stripe
    vendor: Stripe, Inc.
    type: payment-processing
    apiVersion: "2024-06-20"
    baseUrl: https://api.stripe.com/v1
    documentation: https://stripe.com/docs/api
    sla:
      availability: 99.99%
      latencyP99: 500ms
    auth:
      type: api-key
      keyRef: secrets/stripe/api-key
      headerName: Authorization
      headerFormat: "Bearer {key}"
    rateLimiting:
      maxRequestsPerSecond: 25
      burstLimit: 50
      quotaResetWindow: 1s
    retryPolicy:
      maxRetries: 3
      backoffStrategy: exponential
      initialDelayMs: 500
      maxDelayMs: 10000
      retryableStatusCodes: [429, 500, 502, 503]
    circuitBreaker:
      failureThreshold: 5
      resetTimeout: 30s
      halfOpenRequests: 2
    healthCheck:
      endpoint: /v1/balance
      interval: 60s
      timeout: 5s

  - name: sendgrid
    vendor: Twilio SendGrid
    type: email-delivery
    apiVersion: "v3"
    baseUrl: https://api.sendgrid.com/v3
    documentation: https://docs.sendgrid.com/api-reference
    sla:
      availability: 99.95%
      latencyP99: 1000ms
    auth:
      type: api-key
      keyRef: secrets/sendgrid/api-key
      headerName: Authorization
      headerFormat: "Bearer {key}"
    rateLimiting:
      maxRequestsPerSecond: 100
    retryPolicy:
      maxRetries: 3
      backoffStrategy: linear
      initialDelayMs: 1000

  - name: azure-cognitive-services
    vendor: Microsoft
    type: ai-services
    apiVersion: "2024-02-01"
    baseUrl: https://{region}.api.cognitive.microsoft.com
    auth:
      type: api-key
      keyRef: secrets/azure/cognitive-key
      headerName: Ocp-Apim-Subscription-Key
    rateLimiting:
      maxRequestsPerSecond: 10
      quotaPeriod: monthly
      quotaLimit: 50000

🔐 OAuth/OIDC Integration Flows¶

For connectors requiring OAuth 2.0 or OpenID Connect, the blueprint captures the full flow:

oauthConnectors:
  - name: salesforce-crm
    grantType: authorization_code
    authorizationUrl: https://login.salesforce.com/services/oauth2/authorize
    tokenUrl: https://login.salesforce.com/services/oauth2/token
    scopes: ["api", "refresh_token", "openid"]
    clientIdRef: secrets/salesforce/client-id
    clientSecretRef: secrets/salesforce/client-secret
    redirectUri: https://app.connectsoft.io/callbacks/salesforce
    tokenStorage:
      provider: azureKeyVault
      vaultUri: https://secrets.connectsoft.ai/
      refreshBefore: 300s
    tokenRefresh:
      enabled: true
      strategy: proactive
      bufferSeconds: 300

  - name: google-workspace
    grantType: service_account
    serviceAccountKeyRef: secrets/google/service-account.json
    scopes: ["https://www.googleapis.com/auth/calendar.readonly"]
    impersonateUser: admin@connectsoft.io

🔑 API Key Rotation¶

apiKeyRotation:
  strategy: scheduled
  rotationInterval: 90d
  notifyBefore: 14d
  notifyChannels:
    - slack://integration-alerts
    - email://integrations@connectsoft.io
  rotationSteps:
    - generateNewKey
    - updateVaultSecret
    - deployWithDualKeySupport
    - verifyNewKeyFunctional
    - revokeOldKey
  auditLog:
    enabled: true
    traceId: true

📊 SLA Tracking and Monitoring¶

slaTracking:
  enabled: true
  connectors:
    - name: stripe
      metrics:
        - type: availability
          threshold: 99.9%
          alertBelow: 99.5%
        - type: latencyP99
          threshold: 500ms
          alertAbove: 1000ms
        - type: errorRate
          threshold: 0.1%
          alertAbove: 1%
      alertChannels:
        - slack://connector-health
        - pagerduty://integration-oncall
      dashboardRef: dashboards/connector-health/stripe

🤖 Agent Participation¶

Agent	Role
`Integration Architect Agent`	Selects connectors, defines SLA expectations, designs retry logic
`Security Architect Agent`	Validates OAuth flows, key rotation, and credential storage
`Backend Developer Agent`	Implements connector adapters and resilience wrappers
`Observability Agent`	Instruments connector health metrics and latency tracking
`DevOps Engineer Agent`	Manages key rotation automation and connector deployment

📨 Message Broker Topology¶

The Integration Blueprint defines the complete message infrastructure topology — exchanges, queues, topics, subscriptions, dead-letter handling, and retry policies — for all event-driven communication within and across service boundaries.

🏗️ Broker Topology Overview¶

flowchart LR
    subgraph Producers["📤 Event Producers"]
        OrderSvc["OrderService"]
        PaymentSvc["PaymentService"]
        UserSvc["UserService"]
    end

    subgraph Broker["📨 Message Broker"]
        subgraph Exchanges["Exchanges / Topics"]
            OrderExchange["order.events"]
            PaymentExchange["payment.events"]
            UserExchange["user.events"]
        end

        subgraph Queues["Queues / Subscriptions"]
            OrderCreated["order.created"]
            PaymentCompleted["payment.completed"]
            UserRegistered["user.registered"]
        end

        subgraph DLQ["Dead Letter"]
            OrderDLQ["order.events.dlx"]
            PaymentDLQ["payment.events.dlx"]
        end
    end

    subgraph Consumers["📥 Event Consumers"]
        NotifySvc["NotificationService"]
        AnalyticsSvc["AnalyticsService"]
        InventorySvc["InventoryService"]
    end

    OrderSvc -->|publish| OrderExchange
    PaymentSvc -->|publish| PaymentExchange
    UserSvc -->|publish| UserExchange

    OrderExchange --> OrderCreated
    PaymentExchange --> PaymentCompleted
    UserExchange --> UserRegistered

    OrderCreated --> NotifySvc
    OrderCreated --> InventorySvc
    PaymentCompleted --> NotifySvc
    UserRegistered --> AnalyticsSvc

    OrderCreated -.->|failure| OrderDLQ
    PaymentCompleted -.->|failure| PaymentDLQ

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🐇 RabbitMQ Topology Example¶

messageBroker:
  provider: rabbitmq
  clusterName: connectsoft-rabbitmq
  vhost: /production
  connection:
    hosts:
      - rabbitmq-node-1.internal
      - rabbitmq-node-2.internal
      - rabbitmq-node-3.internal
    port: 5672
    useTls: true
    credentialRef: secrets/rabbitmq/connection-string

  exchanges:
    - name: order.events
      type: topic
      durable: true
      autoDelete: false
      arguments:
        alternate-exchange: order.events.unrouted

    - name: order.events.dlx
      type: fanout
      durable: true

    - name: payment.events
      type: topic
      durable: true

    - name: user.events
      type: topic
      durable: true

  queues:
    - name: order.created.notification
      durable: true
      exclusive: false
      autoDelete: false
      bindings:
        - exchange: order.events
          routingKey: order.created.#
      arguments:
        x-dead-letter-exchange: order.events.dlx
        x-message-ttl: 86400000
        x-max-length: 100000
      consumers:
        prefetchCount: 10
        concurrency: 5

    - name: order.created.inventory
      durable: true
      bindings:
        - exchange: order.events
          routingKey: order.created.#
      arguments:
        x-dead-letter-exchange: order.events.dlx
        x-message-ttl: 86400000

    - name: payment.completed
      durable: true
      bindings:
        - exchange: payment.events
          routingKey: payment.completed.#
      arguments:
        x-dead-letter-exchange: payment.events.dlx

    - name: order.events.dlq
      durable: true
      bindings:
        - exchange: order.events.dlx
          routingKey: "#"

  retryPolicy:
    global:
      maxRetries: 5
      initialDelayMs: 1000
      backoffMultiplier: 2
      maxDelayMs: 60000
    perQueue:
      - queue: order.created.notification
        maxRetries: 3
        initialDelayMs: 500

☁️ Azure Service Bus Topology Example¶

messageBroker:
  provider: azureServiceBus
  namespace: connectsoft-prod.servicebus.windows.net
  connection:
    credentialRef: secrets/servicebus/connection-string
    managedIdentity:
      enabled: true
      clientId: "12345678-abcd-efgh-ijkl-123456789012"

  topics:
    - name: order-events
      maxSizeInMB: 5120
      defaultMessageTimeToLive: P14D
      enablePartitioning: true
      duplicateDetection:
        enabled: true
        historyTimeWindow: PT10M
      subscriptions:
        - name: notification-handler
          maxDeliveryCount: 10
          lockDuration: PT1M
          deadLetteringOnExpiration: true
          filter:
            type: sql
            expression: "eventType = 'order.created'"
          forwardDeadLetteredMessagesTo: order-events-dlq

        - name: inventory-handler
          maxDeliveryCount: 5
          lockDuration: PT2M
          deadLetteringOnExpiration: true
          filter:
            type: sql
            expression: "eventType IN ('order.created', 'order.cancelled')"

    - name: payment-events
      maxSizeInMB: 5120
      defaultMessageTimeToLive: P7D
      subscriptions:
        - name: order-completion-handler
          maxDeliveryCount: 10
          filter:
            type: correlation
            properties:
              eventType: payment.completed

  queues:
    - name: order-events-dlq
      maxSizeInMB: 1024
      defaultMessageTimeToLive: P30D
      enableDeadLettering: false

  sessionConfig:
    enabled: true
    sessionIdProperty: orderId
    lockDuration: PT5M

📡 Event Schema Standards¶

All events follow the CloudEvents specification with ConnectSoft extensions:

{
  "specversion": "1.0",
  "type": "com.connectsoft.order.created.v1",
  "source": "/services/order-service",
  "id": "evt_a1b2c3d4e5f6",
  "time": "2025-09-15T14:30:00Z",
  "datacontenttype": "application/json",
  "subject": "order/12345",
  "data": {
    "orderId": "12345",
    "customerId": "cust_789",
    "totalAmount": 299.99,
    "currency": "USD",
    "items": [
      {
        "productId": "prod_456",
        "quantity": 2,
        "unitPrice": 149.99
      }
    ]
  },
  "connectsoftext": {
    "traceId": "trc_92ab_OrderService_v1",
    "agentId": "order-service-001",
    "correlationId": "corr_xyz_789",
    "tenantId": "tenant_acme"
  }
}

🤖 Agent Participation¶

Agent	Role
`Event-Driven Architect Agent`	Designs exchange/topic topology, binding rules, and DLQ strategies
`Infrastructure Engineer Agent`	Provisions broker clusters, configures TLS, and manages networking
`Backend Developer Agent`	Implements producers and consumers with MassTransit or Azure SDK
`Security Architect Agent`	Ensures encrypted transport, credential rotation, and access RBAC
`Observability Agent`	Instruments message throughput, consumer lag, and DLQ depth metrics

🔄 ETL/ELT Pipeline Blueprinting¶

The Integration Blueprint includes comprehensive definitions for data integration pipelines — ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) — that move, transform, and synchronize data across systems.

🏗️ Pipeline Architecture¶

flowchart LR
    subgraph Sources["📥 Data Sources"]
        SQLDB["SQL Database"]
        API["REST API"]
        Blob["Blob Storage"]
        Legacy["Legacy System"]
    end

    subgraph Pipeline["🔄 ETL/ELT Pipeline"]
        Extract["Extract"]
        Transform["Transform"]
        Validate["Validate"]
        Load["Load"]
    end

    subgraph Targets["📤 Data Targets"]
        DW["Data Warehouse"]
        Lake["Data Lake"]
        Search["Search Index"]
        Cache["Cache Layer"]
    end

    subgraph Monitor["📊 Monitoring"]
        Metrics["Pipeline Metrics"]
        Alerts["Alert Rules"]
        Lineage["Data Lineage"]
    end

    Sources --> Extract
    Extract --> Transform
    Transform --> Validate
    Validate --> Load
    Load --> Targets

    Pipeline --> Monitor

Hold "Alt" / "Option" to enable pan & zoom

📋 Pipeline Definition Example¶

etlPipelines:
  - name: order-data-sync
    type: etl
    schedule:
      cron: "0 */6 * * *"
      timezone: UTC
      enabled: true
    source:
      type: sql-database
      connectionRef: secrets/db/orders-readonly
      query: |
        SELECT o.order_id, o.customer_id, o.total_amount, 
               o.status, o.created_at, o.updated_at
        FROM orders o
        WHERE o.updated_at > @lastRunTimestamp
      incrementalKey: updated_at
      watermarkStorage: state/watermarks/order-data-sync

    transformations:
      - name: normalize-currency
        type: field-mapping
        rules:
          - source: total_amount
            target: totalAmountUsd
            transform: "convertCurrency(total_amount, currency, 'USD')"
          - source: status
            target: normalizedStatus
            transform: "mapEnum(status, 'legacy-status-map')"

      - name: enrich-customer-data
        type: lookup
        lookupSource:
          type: rest-api
          endpoint: /api/v1/customers/{customer_id}
          cacheStrategy:
            ttl: 3600s
            provider: redis
        enrichFields:
          - customerName
          - customerSegment
          - customerRegion

      - name: apply-business-rules
        type: expression
        rules:
          - condition: "totalAmountUsd > 1000"
            set: orderTier = "premium"
          - condition: "totalAmountUsd <= 1000"
            set: orderTier = "standard"

    validation:
      rules:
        - field: order_id
          type: not-null
        - field: totalAmountUsd
          type: range
          min: 0
          max: 1000000
        - field: normalizedStatus
          type: enum
          values: ["pending", "confirmed", "shipped", "delivered", "cancelled"]
      onFailure:
        action: quarantine
        quarantineTarget: staging/quarantine/order-data-sync/
        alertChannel: slack://data-pipeline-alerts

    target:
      type: data-warehouse
      connectionRef: secrets/dw/analytics
      table: analytics.orders_fact
      writeMode: upsert
      mergeKey: order_id
      partitionBy: created_at
      preMergeDedup: true

    monitoring:
      metrics:
        - recordsExtracted
        - recordsTransformed
        - recordsLoaded
        - recordsQuarantined
        - pipelineDurationMs
      alerts:
        - type: failure
          channel: slack://data-pipeline-alerts
        - type: sla-breach
          threshold: "pipeline_duration > 30m"
          channel: pagerduty://data-oncall
      lineage:
        enabled: true
        trackFieldLevel: true

📋 ELT Pipeline Definition Example¶

eltPipelines:
  - name: user-activity-lake-ingest
    type: elt
    schedule:
      cron: "*/15 * * * *"
      timezone: UTC

    extract:
      type: event-stream
      source:
        broker: rabbitmq
        queue: user.activity.events
        batchSize: 1000
        maxWaitMs: 5000

    load:
      type: data-lake
      target:
        provider: azureBlobStorage
        container: raw-events
        pathTemplate: "user-activity/{year}/{month}/{day}/{batch_id}.parquet"
        format: parquet
        compression: snappy

    transform:
      engine: spark
      triggerAfterLoad: true
      scripts:
        - name: aggregate-daily-activity
          path: transforms/user-activity/daily-aggregate.sql
          target:
            schema: analytics
            table: user_daily_activity
        - name: calculate-engagement-score
          path: transforms/user-activity/engagement-score.py
          target:
            schema: analytics
            table: user_engagement_scores

📊 Pipeline Monitoring Dashboard Config¶

pipelineMonitoring:
  dashboardProvider: grafana
  dashboardRef: dashboards/etl-pipelines
  panels:
    - name: pipeline-health
      type: status-grid
      pipelines: ["order-data-sync", "user-activity-lake-ingest"]
    - name: throughput-trend
      type: time-series
      metric: recordsProcessed
      period: 7d
    - name: error-rate
      type: gauge
      metric: quarantineRate
      thresholds:
        warning: 1%
        critical: 5%
    - name: latency-distribution
      type: histogram
      metric: pipelineDurationMs

🤖 Agent Participation¶

Agent	Role
`Database Engineer Agent`	Designs pipeline logic, transformation rules, and target schemas
`Integration Architect Agent`	Selects pipeline pattern (ETL vs ELT), scheduling, and monitoring
`Infrastructure Engineer Agent`	Provisions compute, storage, and broker infrastructure
`Observability Agent`	Instruments pipeline metrics, lineage tracking, and alert routing
`Security Architect Agent`	Ensures data encryption in transit/at rest, credential management

🏚️ Legacy System Integration¶

The Integration Blueprint provides structured guidance for integrating with legacy systems — including mainframes, SOAP services, FTP-based file exchanges, and proprietary protocols — while maintaining clean architectural boundaries.

🏗️ Anti-Corruption Layer Architecture¶

flowchart LR
    subgraph Modern["🆕 Modern Services"]
        OrderSvc["OrderService"]
        CustSvc["CustomerService"]
    end

    subgraph ACL["🛡️ Anti-Corruption Layer"]
        Adapter["Protocol Adapter"]
        Translator["Data Translator"]
        Facade["Unified Façade"]
    end

    subgraph Legacy["🏚️ Legacy Systems"]
        Mainframe["Mainframe (COBOL)"]
        SOAP["SOAP Service"]
        FTP["FTP File Exchange"]
    end

    OrderSvc --> Facade
    CustSvc --> Facade
    Facade --> Adapter
    Adapter --> Translator
    Translator --> Mainframe
    Translator --> SOAP
    Translator --> FTP

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🛡️ Anti-Corruption Layer Definition¶

legacyIntegration:
  antiCorruptionLayers:
    - name: legacy-order-acl
      purpose: "Bridge modern OrderService with legacy mainframe order system"
      modernInterface:
        protocol: rest
        basePath: /api/internal/legacy-orders
        contract: schemas/legacy-order-acl.openapi.yaml
      legacySystem:
        name: MainframeOrderSystem
        protocol: mq-series
        connectionRef: secrets/legacy/mq-connection
        encoding: EBCDIC
        messageFormat: fixed-width
      dataMapping:
        - modern: orderId
          legacy: ORD-NUM
          transform: "padLeft(orderId, 10, '0')"
        - modern: customerName
          legacy: CUST-NM
          transform: "uppercase(truncate(customerName, 30))"
        - modern: totalAmount
          legacy: TOT-AMT
          transform: "formatDecimal(totalAmount, 2) * 100"
        - modern: orderDate
          legacy: ORD-DT
          transform: "formatDate(orderDate, 'YYYYMMDD')"
      errorHandling:
        onLegacyTimeout: retry-then-queue
        onDataMismatch: log-and-fallback
        fallbackQueue: legacy.orders.fallback

🔄 Protocol Translation Bridges¶

protocolBridges:
  - name: soap-to-rest-bridge
    sourceProtocol: rest
    targetProtocol: soap
    wsdlRef: legacy/customer-service.wsdl
    endpointMapping:
      - restPath: GET /api/customers/{id}
        soapAction: GetCustomerById
        soapOperation: CustomerService/GetCustomerById
        requestTransform: templates/rest-to-soap/get-customer.xslt
        responseTransform: templates/soap-to-rest/customer-response.xslt

  - name: ftp-file-bridge
    sourceProtocol: event
    targetProtocol: sftp
    sftp:
      host: legacy-ftp.internal.connectsoft.io
      port: 22
      credentialRef: secrets/legacy/sftp-credentials
      remotePath: /inbound/orders/
    fileFormat:
      type: csv
      delimiter: "|"
      encoding: utf-8
      headerRow: false
    schedule:
      cron: "0 2 * * *"
      timezone: "America/New_York"
    postProcessing:
      archiveTo: /archive/orders/{date}/
      deleteOriginal: true

  - name: grpc-to-legacy-rpc
    sourceProtocol: grpc
    targetProtocol: proprietary-rpc
    protoRef: protos/legacy-bridge/v1/bridge.proto
    connectionPool:
      maxConnections: 10
      idleTimeout: 300s
    serialization:
      inbound: protobuf
      outbound: custom-binary
      converterClass: LegacyRpcSerializer

📊 Migration Progress Tracking¶

migrationTracking:
  overallPhase: "phase-2-of-4"
  completedFeatures:
    - name: customer-lookup
      migratedTo: CustomerService
      status: complete
      cutoverDate: "2025-03-15"
    - name: order-creation
      migratedTo: OrderService
      status: complete
      cutoverDate: "2025-06-01"
  inProgressFeatures:
    - name: inventory-check
      targetService: InventoryService
      status: in-progress
      estimatedCutover: "2025-09-15"
  pendingFeatures:
    - name: reporting
      status: planned
      targetPhase: "phase-3"
  rollbackProcedure:
    type: route-based
    switchMechanism: feature-flag
    flagRef: flags/legacy-routing/{feature-name}

🤖 Agent Participation¶

Agent	Role
`Integration Architect Agent`	Designs ACL boundaries, selects adapter patterns, maps data models
`Backend Developer Agent`	Implements adapters, translators, and protocol bridges
`Database Engineer Agent`	Maps legacy data schemas to modern domain models
`Security Architect Agent`	Ensures credential management for legacy connections
`DevOps Engineer Agent`	Manages phased migration deployments and rollback procedures

🌐 API Gateway Configuration¶

The Integration Blueprint defines the complete API gateway configuration — routing rules, middleware chains, authentication flows, rate limiting, circuit breaking, and load balancing — that sits at the edge of the service mesh.

🏗️ Gateway Architecture¶

flowchart TD
    subgraph Clients["📱 Clients"]
        Web["Web App"]
        Mobile["Mobile App"]
        ThirdParty["Third-Party"]
    end

    subgraph Gateway["🌐 API Gateway"]
        Auth["🔐 Auth Middleware"]
        RateLimit["⚡ Rate Limiter"]
        CircuitBreaker["🔌 Circuit Breaker"]
        Transform["🔄 Request Transform"]
        Router["📍 Router"]
        Cache["💾 Response Cache"]
    end

    subgraph Services["🔧 Backend Services"]
        OrderSvc["OrderService"]
        UserSvc["UserService"]
        ProductSvc["ProductService"]
        SearchSvc["SearchService"]
    end

    Clients --> Auth
    Auth --> RateLimit
    RateLimit --> CircuitBreaker
    CircuitBreaker --> Transform
    Transform --> Router
    Router --> Services
    Services --> Cache
    Cache --> Clients

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📋 Gateway Route Definitions¶

apiGateway:
  provider: yarp
  globalConfig:
    requestTimeout: 30s
    maxConcurrentRequests: 10000
    cors:
      allowedOrigins:
        - https://app.connectsoft.io
        - https://admin.connectsoft.io
      allowedMethods: ["GET", "POST", "PUT", "DELETE", "PATCH"]
      allowedHeaders: ["Authorization", "Content-Type", "X-Correlation-Id"]
      exposeHeaders: ["X-Request-Id", "X-RateLimit-Remaining"]
      maxAge: 3600

  routes:
    - routeId: orders-api
      match:
        path: /api/v1/orders/{**catch-all}
        methods: ["GET", "POST", "PUT"]
      cluster: order-service-cluster
      metadata:
        authPolicy: jwt-bearer
        rateLimitPolicy: standard-api
        circuitBreakerPolicy: order-circuit
      transforms:
        - requestHeader:
            name: X-Forwarded-Service
            value: order-service
        - pathRemovePrefix: /api/v1

    - routeId: users-api
      match:
        path: /api/v1/users/{**catch-all}
        methods: ["GET", "POST", "PUT", "DELETE"]
      cluster: user-service-cluster
      metadata:
        authPolicy: jwt-bearer
        rateLimitPolicy: standard-api
      transforms:
        - pathRemovePrefix: /api/v1

    - routeId: products-api-v1
      match:
        path: /api/v1/products/{**catch-all}
        methods: ["GET"]
      cluster: product-service-cluster
      metadata:
        authPolicy: anonymous-read
        rateLimitPolicy: high-throughput
        cachePolicy: product-cache
      transforms:
        - pathRemovePrefix: /api/v1

    - routeId: products-api-v2
      match:
        path: /api/v2/products/{**catch-all}
        methods: ["GET", "POST"]
      cluster: product-service-v2-cluster
      metadata:
        authPolicy: jwt-bearer
        rateLimitPolicy: standard-api
      transforms:
        - pathRemovePrefix: /api/v2

    - routeId: search-api
      match:
        path: /api/v1/search/{**catch-all}
        methods: ["GET", "POST"]
      cluster: search-service-cluster
      metadata:
        authPolicy: jwt-bearer
        rateLimitPolicy: search-throttle
        circuitBreakerPolicy: search-circuit

⚡ Rate Limiting Configuration¶

rateLimiting:
  policies:
    - name: standard-api
      type: sliding-window
      windowSize: 60s
      maxRequests: 200
      perIdentity: true
      identityExtractor: jwt-claim:sub
      responseHeaders:
        remaining: X-RateLimit-Remaining
        reset: X-RateLimit-Reset
        limit: X-RateLimit-Limit
      exceededResponse:
        statusCode: 429
        body: '{"error": "Rate limit exceeded", "retryAfter": "{retryAfter}"}'

    - name: high-throughput
      type: token-bucket
      capacity: 1000
      refillRate: 100
      refillInterval: 1s
      perIdentity: false

    - name: search-throttle
      type: fixed-window
      windowSize: 60s
      maxRequests: 50
      perIdentity: true
      identityExtractor: jwt-claim:sub

    - name: webhook-inbound
      type: fixed-window
      windowSize: 60s
      maxRequests: 500
      perIdentity: true
      identityExtractor: header:X-Webhook-Source

🔌 Circuit Breaker Configuration¶

circuitBreaker:
  policies:
    - name: order-circuit
      failureThreshold: 5
      samplingDuration: 30s
      minimumThroughput: 10
      breakDuration: 30s
      halfOpenPermittedCalls: 3
      failureStatusCodes: [500, 502, 503, 504]
      onBreak:
        fallbackResponse:
          statusCode: 503
          body: '{"error": "Service temporarily unavailable", "retryAfter": 30}'
        alertChannel: slack://gateway-alerts

    - name: search-circuit
      failureThreshold: 10
      samplingDuration: 60s
      minimumThroughput: 20
      breakDuration: 60s
      halfOpenPermittedCalls: 5
      onBreak:
        fallbackResponse:
          statusCode: 503
          body: '{"error": "Search service temporarily unavailable"}'
        fallbackService: search-cache-service

🔐 Authentication Middleware Chain¶

authMiddleware:
  policies:
    - name: jwt-bearer
      type: jwt
      issuer: https://identity.connectsoft.ai
      audiences: ["api.connectsoft.io"]
      jwksUri: https://identity.connectsoft.ai/.well-known/jwks.json
      clockSkew: 30s
      requiredClaims:
        - name: scope
          values: ["api.access"]
      propagation:
        - header: X-User-Id
          claim: sub
        - header: X-Tenant-Id
          claim: tenant_id
        - header: X-User-Roles
          claim: roles

    - name: api-key-auth
      type: api-key
      headerName: X-API-Key
      validationEndpoint: /internal/validate-key
      cacheValidation:
        ttl: 300s
        provider: redis

    - name: anonymous-read
      type: anonymous
      allowedMethods: ["GET", "HEAD", "OPTIONS"]
      rateLimitPolicy: high-throughput

📊 Load Balancing and Service Discovery¶

clusters:
  - name: order-service-cluster
    loadBalancingPolicy: round-robin
    healthCheck:
      enabled: true
      path: /health
      interval: 15s
      timeout: 5s
      unhealthyThreshold: 3
    destinations:
      - address: https://order-service.internal:8080
        weight: 1
      - address: https://order-service-canary.internal:8080
        weight: 0

  - name: product-service-cluster
    loadBalancingPolicy: least-requests
    healthCheck:
      enabled: true
      path: /health/ready
      interval: 10s
    sessionAffinity:
      enabled: false
    destinations:
      - address: https://product-service.internal:8080

  - name: search-service-cluster
    loadBalancingPolicy: power-of-two-choices
    healthCheck:
      enabled: true
      path: /health
      interval: 10s
    destinations:
      - address: https://search-service.internal:8080

🤖 Agent Participation¶

Agent	Role
`API Designer Agent`	Defines routes, versioning strategies, and transformation rules
`Integration Architect Agent`	Designs circuit breaker policies, load balancing, and failover
`Security Architect Agent`	Configures auth middleware chains, token propagation, and CORS
`Infrastructure Engineer Agent`	Provisions gateway infrastructure, TLS certificates, DNS
`Observability Agent`	Instruments request metrics, latency histograms, and error rates

🔀 Inter-Service Communication Contracts¶

The Integration Blueprint defines how services communicate with each other — specifying protocols, contracts, serialization formats, and resilience patterns for every inter-service boundary.

📡 Communication Protocol Matrix¶

Protocol	Use Case	Serialization	Latency	Coupling
REST	CRUD operations, external APIs	JSON	Medium	Moderate
gRPC	Internal service-to-service, high perf	Protobuf	Low	Tight
GraphQL	Client-facing queries, BFF layers	JSON	Medium	Loose
Events	Async workflows, notifications	CloudEvents/JSON	Eventual	Very Loose
SignalR	Real-time UI updates, notifications	JSON/MessagePack	Real-time	Moderate

🔗 Service Communication Map¶

interServiceCommunication:
  contracts:
    - source: OrderService
      target: InventoryService
      protocol: grpc
      protoRef: protos/inventory/v1/inventory.proto
      methods:
        - CheckStock
        - ReserveStock
        - ReleaseStock
      timeout: 3000ms
      retryPolicy:
        maxRetries: 2
        backoff: exponential
      circuitBreaker:
        failureThreshold: 3
        resetTimeout: 15s

    - source: OrderService
      target: PaymentService
      protocol: rest
      contractRef: contracts/payment/v2/payment-api.openapi.yaml
      baseUrl: https://payment-service.internal:8080
      endpoints:
        - method: POST
          path: /api/v2/payments
          timeout: 10000ms
        - method: GET
          path: /api/v2/payments/{paymentId}
          timeout: 3000ms
      retryPolicy:
        maxRetries: 1
        retryableStatusCodes: [502, 503]

    - source: OrderService
      target: NotificationService
      protocol: async
      broker: rabbitmq
      channel: notification.commands
      messageSchema: schemas/notification-command.json
      guarantees:
        delivery: at-least-once
        ordering: none

    - source: APIGateway
      target: SearchService
      protocol: graphql
      schemaRef: schemas/search/v1/search.graphql
      endpoint: https://search-service.internal:8080/graphql
      timeout: 5000ms
      complexityLimit: 100
      depthLimit: 5

📐 Contract Testing Integration¶

contractTesting:
  enabled: true
  framework: pact
  broker:
    url: https://pact-broker.internal.connectsoft.io
    credentialRef: secrets/pact/broker-token
  contracts:
    - consumer: OrderService
      provider: InventoryService
      pactFile: contracts/pacts/order-inventory.json
      verificationSchedule: "on-provider-deploy"
    - consumer: OrderService
      provider: PaymentService
      pactFile: contracts/pacts/order-payment.json
      verificationSchedule: "on-provider-deploy"
  ciGate:
    blockOnContractBreak: true
    alertChannel: slack://contract-violations

🔀 Cross-Blueprint Intersections¶

The Integration Blueprint does not exist in isolation — it is deeply interconnected with other blueprints in the ConnectSoft AI Software Factory. Each cross-reference creates a contract boundary that agents validate continuously.

🔗 Intersection Map¶

flowchart TD
    IntBP["🔗 Integration Blueprint"]

    SecBP["🛡️ Security Blueprint"]
    InfraBP["📦 Infrastructure Blueprint"]
    TestBP["🧪 Test Blueprint"]
    ObsBP["📊 Observability Blueprint"]
    SvcBP["🔧 Service Blueprint"]
    DataBP["🗄️ Data Blueprint"]

    IntBP <-->|Auth flows, token propagation, encryption| SecBP
    IntBP <-->|Broker provisioning, gateway infra, networking| InfraBP
    IntBP <-->|Contract testing, integration testing, chaos| TestBP
    IntBP <-->|Integration telemetry, health metrics, tracing| ObsBP
    IntBP <-->|Endpoint contracts, runtime boundaries| SvcBP
    IntBP <-->|ETL schemas, data mappings, pipeline targets| DataBP

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🛡️ Security Blueprint Intersection¶

Integration Concern	Security Blueprint Responsibility
Third-party API authentication	OAuth/OIDC flow definitions, credential storage in Key Vault
Message broker transport security	TLS enforcement, mTLS for broker connections
Token propagation in service calls	JWT claim mapping, audience validation, identity context forwarding
Webhook signature verification	HMAC signing key management, signature validation policies
API gateway auth middleware	Auth policy definitions, scope enforcement, role-based access
ETL credential management	Source/target connection string encryption and rotation

📦 Infrastructure Blueprint Intersection¶

Integration Concern	Infrastructure Blueprint Responsibility
Message broker provisioning	RabbitMQ/Service Bus cluster deployment, scaling, networking
API gateway deployment	YARP/NGINX/Envoy infrastructure, TLS certificate provisioning
ETL compute infrastructure	Spark/Data Factory provisioning, storage accounts, compute pools
Network policies	Service mesh configuration, ingress/egress rules for integration
DNS and service discovery	Internal DNS for service-to-service resolution
Connection pooling	Database and broker connection pool configurations

🧪 Test Blueprint Intersection¶

Integration Concern	Test Blueprint Responsibility
API contract validation	Consumer-driven contract tests (Pact), schema validation
Message broker contracts	Async contract testing, event schema validation
Integration test scenarios	End-to-end integration test definitions, test data management
Circuit breaker validation	Chaos testing for circuit breaker behavior
ETL pipeline validation	Data quality tests, transformation correctness validation
Legacy bridge testing	Adapter correctness tests, protocol translation verification

📊 Observability Blueprint Intersection¶

Integration Concern	Observability Blueprint Responsibility
Connector health monitoring	Health check endpoints, uptime dashboards, SLA tracking
Message throughput metrics	Producer/consumer rates, queue depth, consumer lag
API gateway request telemetry	Request latency histograms, error rate tracking, status code breakdown
ETL pipeline observability	Pipeline duration, records processed, quarantine rates
Distributed tracing	Trace context propagation across service calls and message chains
Integration alerting	Alert rules for connector failures, broker issues, pipeline errors

🧭 Blueprint Location, Traceability, and Versioning¶

An Integration Blueprint is not just content — it's a traceable artifact, part of a multi-agent lineage graph, and lives at a predictable location in the Factory's file and memory hierarchy.

This enables cross-agent validation, rollback, comparison, and regeneration.

📁 File System Location¶

Each blueprint is stored in a consistent location within the Factory workspace:

blueprints/integration/{service-name}/integration-blueprint.md
blueprints/integration/{service-name}/integration-blueprint.json
blueprints/integration/{service-name}/connectors/{connector-name}.yaml
blueprints/integration/{service-name}/etl-pipelines/{pipeline-name}.yaml
blueprints/integration/{service-name}/broker-topology/{broker-name}.yaml
blueprints/integration/{service-name}/gateway-config/routes.yaml

Markdown is human-readable and Studio-rendered.
JSON is parsed by orchestrators and enforcement agents.
YAML fragments are consumed by CI/CD pipelines and provisioning scripts.

🧠 Traceability Fields¶

Each blueprint includes a set of required metadata fields for trace alignment:

Field	Purpose
`traceId`	Links blueprint to full generation pipeline
`agentId`	Records which agent(s) emitted the artifact
`originPrompt`	Captures human-initiated signal or intent
`createdAt`	ISO timestamp for audit
`integrationProfile`	Integration complexity level (simple, standard, complex)
`connectorCount`	Number of third-party connectors declared
`brokerTopology`	Primary message broker type and topology
`pipelineCount`	Number of ETL/ELT pipelines defined

These fields ensure full trace and observability for regeneration, validation, and compliance review.

🔁 Versioning and Mutation Tracking¶

Mechanism	Purpose
`v1`, `v2`, ...	Manual or automatic version bumping by agents
`diff-link:` metadata	References upstream and downstream changes
GitOps snapshot tags	Bind blueprint versions to commit hashes or releases
Drift monitors	Alert if effective integration config deviates from declared
Contract version tracking	Track API and event schema versions independently

📜 Mutation History Example¶

metadata:
  traceId: "trc_92ab_OrderService_integration_v2"
  agentId: "integration-architect-agent"
  originPrompt: "Add Stripe payment connector with retry policies"
  createdAt: "2025-09-15T14:30:00Z"
  version: "v2"
  diffFrom: "v1"
  changedSections:
    - "thirdPartyConnectors"
    - "apiGateway.routes"
  changedFields:
    - "connectors.stripe-payments.retryPolicy.maxRetries"
    - "apiGateway.routes.payments-webhook"
  migrationNotes: |
    Added Stripe payment connector with exponential backoff retry.
    Added inbound webhook route for Stripe payment notifications.
    Updated gateway auth middleware to validate Stripe signatures.

These mechanisms ensure that integration is not an afterthought, but a tracked, versioned, observable system artifact.

🚀 CI/CD Integration Validation¶

The Integration Blueprint is actively consumed by CI/CD pipelines to validate integration readiness before deployments proceed. This ensures that no service is deployed with broken connectors, incompatible schemas, or misconfigured brokers.

🏗️ Validation Pipeline Architecture¶

flowchart LR
    subgraph PR["Pull Request"]
        Code["Code Changes"]
        Blueprint["Integration Blueprint"]
    end

    subgraph Validation["🔍 Integration Validation Gates"]
        SchemaVal["Schema Validation"]
        ContractTest["Contract Tests"]
        ConnectorHealth["Connector Health"]
        BrokerCompat["Broker Compatibility"]
        GatewayVal["Gateway Config Validation"]
        PipelineVal["ETL Pipeline Validation"]
    end

    subgraph Results["📊 Results"]
        Pass["✅ Deploy"]
        Fail["❌ Block"]
        Warn["⚠️ Warn"]
    end

    PR --> Validation
    SchemaVal --> Results
    ContractTest --> Results
    ConnectorHealth --> Results
    BrokerCompat --> Results
    GatewayVal --> Results
    PipelineVal --> Results

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🔍 Validation Gates¶

cicdValidation:
  integrationGates:
    - name: schema-validation
      description: "Validate all integration schemas against registry"
      phase: build
      blocking: true
      checks:
        - validateOpenApiSpecs
        - validateAsyncApiSpecs
        - validateEventSchemas
        - validateProtobufContracts

    - name: contract-testing
      description: "Run consumer-driven contract tests"
      phase: test
      blocking: true
      checks:
        - runPactVerification
        - validateSchemaBackwardCompatibility
        - checkBreakingChanges

    - name: connector-health
      description: "Verify third-party connector reachability"
      phase: pre-deploy
      blocking: false
      checks:
        - pingConnectorEndpoints
        - validateCredentials
        - checkSLACompliance

    - name: broker-compatibility
      description: "Validate broker topology against declared config"
      phase: pre-deploy
      blocking: true
      checks:
        - validateExchangeTopology
        - validateQueueBindings
        - checkDeadLetterConfig
        - validateSchemaRegistryEntries

    - name: gateway-config-validation
      description: "Verify gateway routes and middleware chains"
      phase: build
      blocking: true
      checks:
        - validateRouteDefinitions
        - checkAuthPolicyReferences
        - validateRateLimitPolicies
        - checkCircuitBreakerConfigs

    - name: etl-pipeline-validation
      description: "Validate pipeline definitions and data mappings"
      phase: test
      blocking: true
      checks:
        - validateTransformationRules
        - checkSourceTargetSchemaAlignment
        - validateScheduleDefinitions
        - runPipelineDryRun

📋 Pipeline Step Example (Azure DevOps)¶

stages:
  - stage: IntegrationValidation
    displayName: "Integration Blueprint Validation"
    jobs:
      - job: ValidateIntegration
        displayName: "Validate Integration Contracts"
        steps:
          - task: UseDotNet@2
            inputs:
              packageType: sdk
              version: "8.x"

          - script: |
              dotnet tool install --global ConnectSoft.IntegrationValidator
              integration-validator validate \
                --blueprint blueprints/integration/order-service/integration-blueprint.json \
                --schema-registry https://schema-registry.internal.connectsoft.io \
                --pact-broker https://pact-broker.internal.connectsoft.io \
                --output results/integration-validation.json
            displayName: "Run Integration Validation"

          - task: PublishTestResults@2
            inputs:
              testResultsFormat: "JUnit"
              testResultsFiles: "results/integration-validation.xml"
              failTaskOnFailedTests: true

          - script: |
              integration-validator gate-check \
                --results results/integration-validation.json \
                --policy strict \
                --fail-on-warning false
            displayName: "Evaluate Integration Gate"

🤖 Agent Participation¶

Agent	Role
`DevOps Engineer Agent`	Configures validation pipeline stages and gate policies
`Integration Architect Agent`	Defines which validations are blocking vs warning
`Test Automation Agent`	Generates contract test suites and schema validation scripts
`CI/CD Pipeline Agent`	Orchestrates validation execution and result reporting

🧠 Memory Graph Representation¶

Integration Blueprints are not static files — they are nodes in the Factory's memory graph, connected to services, agents, decisions, and runtime observations.

🧩 Graph Node Structure¶

memoryGraph:
  node:
    type: integration-blueprint
    id: "bp_integration_order_service_v2"
    label: "OrderService Integration Blueprint v2"
    properties:
      traceId: "trc_92ab_OrderService_integration_v2"
      version: "v2"
      integrationProfile: "event-driven"
      connectorCount: 4
      pipelineCount: 1
      brokerTopology: "rabbitmq-cluster"

  edges:
    - type: GENERATED_BY
      target: "agent_integration_architect_001"
    - type: INTEGRATES_WITH
      target: "svc_inventory_service"
    - type: INTEGRATES_WITH
      target: "svc_payment_service"
    - type: USES_CONNECTOR
      target: "connector_stripe"
    - type: USES_CONNECTOR
      target: "connector_sendgrid"
    - type: USES_BROKER
      target: "broker_rabbitmq_prod"
    - type: SECURED_BY
      target: "bp_security_order_service_v1"
    - type: PROVISIONED_BY
      target: "bp_infrastructure_order_service_v3"
    - type: TESTED_BY
      target: "bp_test_order_service_v2"
    - type: OBSERVED_BY
      target: "bp_observability_order_service_v1"
    - type: EVOLVED_FROM
      target: "bp_integration_order_service_v1"
    - type: BRIDGES_LEGACY
      target: "legacy_mainframe_order_system"

🧠 Semantic Embeddings¶

Integration Blueprints are embedded into the vector memory with the following semantic anchors:

Anchor Concept	Example Indexed Terms
Integration Pattern	`saga`, `event-driven`, `api-composition`, `cqrs`, `bff`
Message Broker	`rabbitmq`, `azure-service-bus`, `kafka`, `topic`, `queue`
Third-Party Connector	`stripe`, `sendgrid`, `salesforce`, `twilio`, `google`
Protocol	`grpc`, `rest`, `graphql`, `soap`, `websocket`, `signalr`
Data Pipeline	`etl`, `elt`, `transformation`, `scheduling`, `data-lake`
Resilience	`circuit-breaker`, `retry`, `dead-letter`, `fallback`, `timeout`
Gateway	`routing`, `rate-limiting`, `load-balancing`, `cors`, `auth`

These embeddings enable agents to:

🔍 Find related integration patterns across services
🔄 Detect integration drift when runtime behavior deviates
🧠 Suggest improvements based on similar successful integrations
📊 Correlate failures across connected integration points

🔗 Cross-Service Integration Graph¶

graph LR
    OrderSvc["🛒 OrderService"]
    PaymentSvc["💳 PaymentService"]
    InventorySvc["📦 InventoryService"]
    NotifySvc["📧 NotificationService"]
    SearchSvc["🔍 SearchService"]
    LegacySvc["🏚️ LegacySystem"]
    Stripe["🔌 Stripe"]
    SendGrid["🔌 SendGrid"]

    OrderSvc -->|gRPC| InventorySvc
    OrderSvc -->|REST| PaymentSvc
    OrderSvc -->|async events| NotifySvc
    OrderSvc -->|saga| PaymentSvc
    OrderSvc -->|saga| InventorySvc
    OrderSvc -->|ACL bridge| LegacySvc
    PaymentSvc -->|connector| Stripe
    NotifySvc -->|connector| SendGrid
    SearchSvc -->|ETL sync| OrderSvc

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📊 Final Summary¶

The Integration Blueprint is a comprehensive, multi-dimensional artifact that serves as the single source of truth for all integration concerns in the ConnectSoft AI Software Factory.

📋 Blueprint Capabilities Summary¶

Capability	Description
🔗 Integration Pattern Catalog	ESB, event-driven, saga, CQRS, strangler fig, webhook, BFF patterns
🔌 Third-Party Connector Mgmt	OAuth/OIDC flows, API key rotation, SLA tracking, retry policies
📨 Message Broker Topology	RabbitMQ, Azure Service Bus, Kafka — exchanges, queues, DLQs
🔄 ETL/ELT Pipeline Definitions	Data transformation, scheduling, monitoring, lineage tracking
🏚️ Legacy System Bridges	Anti-corruption layers, protocol bridges, migration tracking
🌐 API Gateway Configuration	Routing, rate limiting, circuit breaking, auth middleware
📡 Inter-Service Communication	gRPC, REST, GraphQL, events — with contracts and resilience
🪝 Webhook Management	Inbound/outbound definitions, signature verification, retry policies
🧪 Contract Testing Integration	Consumer-driven contracts, schema validation, backward compatibility
🚀 CI/CD Validation Gates	Schema, contract, connector, broker, gateway, and pipeline validation
🧠 Memory Graph Representation	Semantic embeddings, cross-service graphs, drift detection
📜 Full Traceability	Trace IDs, agent lineage, version history, mutation tracking

🤖 Agent Participation Summary¶

Agent	Primary Responsibilities
`Integration Architect Agent`	Pattern selection, topology design, connector specs, cross-blueprint links
`API Designer Agent`	API contracts, gateway routing, versioning, BFF design
`Event-Driven Architect Agent`	Broker topology, event schemas, saga orchestration, DLQ strategies
`Backend Developer Agent`	Connector implementation, adapters, protocol bridges
`Infrastructure Engineer Agent`	Broker provisioning, gateway deployment, networking, compute
`DevOps Engineer Agent`	CI/CD integration, deployment pipelines, health monitoring
`Database Engineer Agent`	ETL/ELT pipelines, data mappings, transformation rules
`Security Architect Agent`	Auth flows, encryption, credential management, token propagation
`Observability Agent`	Integration telemetry, health metrics, distributed tracing

📁 Complete Storage Layout¶

blueprints/
└── integration/
    └── {component-name}/
        ├── integration-blueprint.md          # Human-readable blueprint
        ├── integration-blueprint.json        # Machine-readable blueprint
        ├── connectors/
        │   ├── stripe.yaml                   # Stripe connector config
        │   ├── sendgrid.yaml                 # SendGrid connector config
        │   └── salesforce.yaml               # Salesforce OAuth connector
        ├── etl-pipelines/
        │   ├── order-data-sync.yaml          # ETL pipeline definition
        │   └── user-activity-ingest.yaml     # ELT pipeline definition
        ├── broker-topology/
        │   ├── rabbitmq-topology.yaml        # RabbitMQ exchange/queue config
        │   └── servicebus-topology.yaml      # Azure Service Bus topic config
        ├── gateway-config/
        │   ├── routes.yaml                   # API gateway route definitions
        │   ├── rate-limiting.yaml            # Rate limiting policies
        │   └── circuit-breakers.yaml         # Circuit breaker policies
        ├── contracts/
        │   ├── pacts/                        # Consumer-driven contract files
        │   ├── openapi/                      # OpenAPI spec extensions
        │   └── asyncapi/                     # AsyncAPI event specs
        └── legacy/
            ├── acl-definitions.yaml          # Anti-corruption layer configs
            ├── protocol-bridges.yaml         # Protocol translation rules
            └── migration-tracker.yaml        # Migration phase tracking

📎 Quick Reference¶

Property	Value
📄 Format	Markdown + JSON + YAML + AsyncAPI + OpenAPI Extensions
🧠 Generated by	Integration Architect + API Designer + Event-Driven Architect Agents
🎯 Purpose	Define full integration topology, contracts, and resilience policies
🔁 Lifecycle	Regenerable, diffable, GitOps-compatible, drift-monitored
📈 Tags	`traceId`, `agentId`, `serviceId`, `integrationProfile`
🔗 Cross-References	Security, Infrastructure, Test, Observability, Service Blueprints
🧪 CI/CD Integration	Schema validation, contract testing, connector health gates
🧠 Memory Integration	Semantic embeddings, graph nodes, cross-service relationships

🔗 The Integration Blueprint is how system integration becomes codified, intelligent, resilient, and observable — not an afterthought, but a first-class architectural asset in the AI Software Factory.

🔗 Integration Blueprint¶

📘 What Is an Integration Blueprint?¶

🧠 Blueprint Roles in the Factory¶

🧩 Blueprint Consumers and Usage¶

🧾 Output Shape¶

📁 Storage Convention¶

🎯 Purpose and Motivation¶

🚨 Problems It Solves¶

🧠 Why Blueprints, Not Just Configuration Files?¶

🧠 Agent-Created, Trace-Ready Artifact¶

🤖 Agents Involved in Creation¶

📈 Memory Traceability¶

📁 Example Storage and Trace Metadata¶

📦 What It Captures¶

🔗 Core Integration Elements Captured¶

📎 Blueprint Snippet (Example)¶

🧠 Cross-Blueprint Intersections¶

🗂️ Output Formats and Structure¶

📄 Human-Readable Markdown (.md)¶

📜 Machine-Readable JSON (.json)¶

📡 AsyncAPI Specification (.asyncapi.yaml)¶

🔗 OpenAPI Extensions (.openapi-ext.yaml)¶

🔁 CI/CD Compatible Snippets (.yaml fragments)¶

🧠 Embedded Memory Shape (Vectorized)¶

🧭 Integration Patterns Catalog¶

🏗️ Pattern Overview¶

🌐 API Composition Pattern¶

📨 Event-Driven Pattern¶

🔄 Saga Orchestration Pattern¶

📊 CQRS Integration Pattern¶

🏚️ Strangler Fig Pattern (Legacy Migration)¶

🪝 Webhook Pattern¶

📱 Backend-for-Frontend (BFF) Pattern¶

🤖 Pattern Selection Agent Logic¶

🔌 Third-Party Integration Management¶

📋 Connector Registry¶

🔐 OAuth/OIDC Integration Flows¶

🔑 API Key Rotation¶

📊 SLA Tracking and Monitoring¶

🤖 Agent Participation¶

📨 Message Broker Topology¶

🏗️ Broker Topology Overview¶

🐇 RabbitMQ Topology Example¶

☁️ Azure Service Bus Topology Example¶

📡 Event Schema Standards¶

🤖 Agent Participation¶

🔄 ETL/ELT Pipeline Blueprinting¶

🏗️ Pipeline Architecture¶

📋 Pipeline Definition Example¶

📋 ELT Pipeline Definition Example¶

📊 Pipeline Monitoring Dashboard Config¶

🤖 Agent Participation¶

🏚️ Legacy System Integration¶

🏗️ Anti-Corruption Layer Architecture¶

🛡️ Anti-Corruption Layer Definition¶

🔄 Protocol Translation Bridges¶

📊 Migration Progress Tracking¶

🤖 Agent Participation¶

🌐 API Gateway Configuration¶

🏗️ Gateway Architecture¶

📋 Gateway Route Definitions¶

⚡ Rate Limiting Configuration¶

🔌 Circuit Breaker Configuration¶

🔐 Authentication Middleware Chain¶

📊 Load Balancing and Service Discovery¶

🤖 Agent Participation¶

🔀 Inter-Service Communication Contracts¶

📡 Communication Protocol Matrix¶

🔗 Service Communication Map¶

📐 Contract Testing Integration¶

🔀 Cross-Blueprint Intersections¶

🔗 Intersection Map¶

🛡️ Security Blueprint Intersection¶

📦 Infrastructure Blueprint Intersection¶

🧪 Test Blueprint Intersection¶

📊 Observability Blueprint Intersection¶

🧭 Blueprint Location, Traceability, and Versioning¶

📁 File System Location¶

🧠 Traceability Fields¶

🔁 Versioning and Mutation Tracking¶

📄 Human-Readable Markdown (`.md`)¶

📜 Machine-Readable JSON (`.json`)¶

📡 AsyncAPI Specification (`.asyncapi.yaml`)¶

🔗 OpenAPI Extensions (`.openapi-ext.yaml`)¶

🔁 CI/CD Compatible Snippets (`.yaml` fragments)¶