🔁 Orchestration Domain¶

🧭 Purpose of the Orchestration Domain¶

The Orchestration Domain is the central nervous system of the ConnectSoft AI Software Factory. It is responsible for coordinating multi-agent collaboration, phase-driven execution, and automated project flows through events, state transitions, and explicit task delegation.

This domain ensures that complex project goals—such as scaffolding microservices, applying templates, validating code, deploying infrastructure, or coordinating agents—are executed in the correct order, by the right agents, and under traceable supervision.

🧩 Role in the Platform¶

Function	Description
Flow Control	Coordinates sequential and parallel execution of tasks across services.
Agent Collaboration	Directs and monitors AI agents responsible for each software lifecycle step.
Trigger Management	Reacts to lifecycle events (e.g., `ProjectCreated`, `MicroservicePlanned`).
Phase Enforcement	Ensures actions occur only when a project is in the correct state.
Stateful Execution	Maintains orchestration graphs and lifecycle state per project.
Retry and Resilience	Retries failed tasks, routes around errors, and supports recovery patterns.

🔄 Core Activities Orchestrated¶

Orchestrated Process	Description
`ProjectBootstrapOrchestrator`	Launches first-time scaffolding of a new project using Vision and Planning agents.
`MicroserviceAssemblyCoordinator`	Drives the creation of an individual microservice (from architecture to code).
`CI/CD Pipeline Generator`	Applies CI/CD templates after code scaffolding.
`InfrastructureProvisioning`	Coordinates agents to deploy Bicep, ARM, or Terraform modules.
`Testing and QA Orchestration`	Launches validation agents to execute unit, integration, and BDD tests.
`Security & Compliance`	Activates hardening steps like auth service generation, key vault setup.

📡 Orchestration Flow Layers¶

flowchart TD
  EventBus["📨 Domain Events"] --> Orchestrator["🧠 Orchestration Layer"]
  Orchestrator --> Agents["🤖 AI Agents"]
  Orchestrator --> StateStore["🗂️ Orchestration State"]
  Orchestrator --> Trace["📈 Telemetry & Traces"]
  Agents --> Orchestrator

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🧠 Principles Followed¶

✅ Event-Driven: Orchestrators are reactive, triggered by lifecycle events and agent outputs.
✅ Phase-Aware: All orchestration logic respects the current state in the project lifecycle.
✅ Traceable: Every orchestration action emits trace IDs and spans.
✅ Composable: Orchestration logic is modular, scriptable, and pluggable.
✅ Agent-Centric: Agents are treated as asynchronous workers coordinated by orchestrators.

🗂️ Key Components in the Domain¶

Component	Description
`OrchestrationControllerService`	Entry point for dispatching orchestration plans
`ProjectOrchestrationState`	Stores phase, progress, and status of orchestration across the project
`OrchestrationEventRouter`	Listens to events and routes them to correct orchestrators
`AgentTaskDispatcher`	Sends commands to agents and tracks execution state
`ExecutionGraphBuilder`	Builds structured flow plans and sequences of tasks

📍 How It Interacts with Other Domains¶

Interacting Domain	Purpose of Interaction
`TemplateCatalog`	Applies scaffolding templates at correct points in orchestration.
`ProjectLifecycle`	Orchestrators respect and mutate lifecycle phases.
`AgentSystem`	Sends tasks, receives outcomes, and reacts accordingly.
`Coordinators`	Specific orchestrators delegate to specialized coordination components.
`Human Collaboration`	Requests manual approvals or confirmations via UI flows.

📦 Outputs of This Domain¶

Emitted domain events: TemplateApplied, AgentTaskScheduled, PhaseAdvanced, etc.
Project-level orchestration state objects
ExecutionGraph logs and telemetry
Audit trail for orchestration decisions and triggers

The Orchestration Domain enables ConnectSoft to operate autonomously at scale, managing thousands of agent tasks and execution flows in a reliable, traceable, and modular fashion. It abstracts the complexity of sequencing, dependency tracking, and human-agent collaboration into a declarative, event-driven control layer.

🧭 Domain Model & Aggregates¶

This section defines the core domain model, entities, aggregates, and value objects of the Orchestration Domain. These models represent the state, identity, and behavior of project execution flows within the software factory.

The goal is to provide persistent, auditable, and event-driven models that orchestrators use to plan, track, and resume flows across agents and microservices.

🧩 Core Aggregates¶

1. `ProjectOrchestrationAggregate`¶

Property	Type	Description
`projectId`	Guid/String	Global project reference
`lifecyclePhase`	Enum	Current lifecycle phase (e.g., Planning, Infrastructure)
`executionGraph`	`ExecutionGraph`	DAG of all orchestration tasks
`status`	Enum	Overall status: Pending, InProgress, Failed, Completed
`lastEventId`	Guid/String	Last domain event that modified the orchestration state
`createdAt`	DateTime	Time orchestration was initialized
`lastUpdated`	DateTime	Last update timestamp

✅ This aggregate handles commands like:

ApplyTemplateToProject
AdvancePhase
DispatchAgentTask

🧱 Entity: `OrchestrationTask`¶

Represents a single agent-triggered step or system action within a phase.

Field	Description
`taskId`	Unique task identifier (correlated with traceId)
`type`	e.g. `ApplyTemplate`, `GeneratePlan`, `ValidateTestSuite`
`status`	Pending, InProgress, Completed, Failed
`triggerEvent`	Event that caused this task to be scheduled
`agentId`	Responsible agent/persona (e.g., `developer-agent`)
`inputs`	Input data (e.g., tokens, identifiers)
`outputs`	Result payload, status message
`dependsOn`	Other taskIds this task is dependent on
`emittedEvents`	List of emitted events after completion
`createdAt`	Timestamp

🕸️ Value Object: `ExecutionGraph`¶

A Directed Acyclic Graph (DAG) of orchestration tasks for a given project phase.

Ensures no circular dependencies
Used by orchestrators to walk the graph and determine next executable nodes
Persisted per ProjectOrchestrationAggregate

Sample JSON Shape¶

{
  "nodes": [
    {
      "taskId": "t1",
      "type": "GenerateMicroservicePlan",
      "dependsOn": []
    },
    {
      "taskId": "t2",
      "type": "ApplyTemplate",
      "dependsOn": ["t1"]
    },
    {
      "taskId": "t3",
      "type": "RunTestPlan",
      "dependsOn": ["t2"]
    }
  ]
}

🧠 Supporting Models¶

Model	Purpose
`OrchestrationTriggerContext`	Captures full metadata of the trigger event or command
`AgentInvocationResult`	Outcome of an agent task (used to update task state)
`TaskFailureDetail`	Captures root cause, retry count, escalation flags
`PhaseTransitionRule`	Value object defining rules for phase advancement

🧩 Domain Events¶

Event	Description
`AgentTaskScheduled`	A task was emitted and delegated to an agent
`AgentTaskCompleted`	Agent finished and result is stored
`PhaseAdvanced`	Project moved to next phase via orchestrator decision
`ExecutionGraphBuilt`	Orchestrator created or updated execution plan
`OrchestrationFailed`	Catastrophic failure during execution graph resolution

🛡️ Invariants and Policies¶

A task cannot start until all its dependencies are marked as Completed
Tasks must belong to a valid phase and context-matching projectId
Phase advancement is allowed only via completed transitions and policy checks

🔁 Aggregate Behaviors¶

ProjectOrchestration.Apply(AgentTaskResult result)
  → Update task status
  → Emit next executable tasks
  → Possibly emit PhaseAdvanced

ProjectOrchestration.AdvancePhase()
  → Validate completion
  → Reset executionGraph

This domain model provides the state backbone for intelligent orchestration, allowing the platform to execute large-scale, multi-agent, dependency-aware task graphs. It supports recoverable, observable, and declarative coordination across the software lifecycle.

🧭 Key Use Cases¶

This cycle documents the foundational orchestration use cases that power automation within the ConnectSoft AI Software Factory. These are the scenarios where orchestrators direct agents, templates, lifecycle transitions, and human approvals to produce real SaaS-ready outcomes.

Each use case illustrates a real-world orchestration flow, triggered by events or user input, and resolved through multi-agent collaboration.

🔑 Primary Orchestration Use Cases¶

1. New Project Initialization¶

Trigger: ProjectCreated Orchestrator: ProjectBootstrapOrchestrator

Flow:

Agent VisionArchitectAgent generates high-level architecture
Agent EnterpriseArchitectAgent produces domain model
Agent PlannerAgent proposes microservices
Agent DeveloperAgent starts applying templates
Phase advances to InfrastructureReady

2. Microservice Assembly¶

Trigger: MicroservicePlanned Orchestrator: MicroserviceAssemblyCoordinator

Flow:

Template application: microservice template, database entity, service layer
API Gateway configuration is applied
Identity & permissions model linked (if needed)
Domain events registered
Post-generation validation triggers TestOrchestrator

3. CI/CD Pipeline Setup¶

Trigger: MicroserviceGenerated or InfrastructureProvisioned Orchestrator: CICDPipelineOrchestrator

Flow:

Apply YAML pipeline templates for build, test, deploy
Integrate secrets, container registry, and environments
Agent verifies artifact flow
Phase marked PipelineReady

4. Infrastructure Provisioning¶

Trigger: LifecyclePhaseChanged → InfrastructurePhase Orchestrator: InfrastructureProvisioningOrchestrator

Flow:

Apply infrastructure templates (e.g., Bicep, ARM, Terraform)
Use DevOpsAgent for provisioning and monitoring
Validate resources deployed (App Service, Key Vault, DB)
Emit InfrastructureReady

5. Security & Identity Orchestration¶

Trigger: LifecyclePhaseChanged → SecurityPhase Orchestrator: SecurityHardeningOrchestrator

Flow:

Agent applies identity microservice (via template)
RBAC roles and user flows provisioned
OAuth2/OpenIddict scaffolding applied
Validated by SecurityAgent or QAAgent

6. Testing & Validation Flow¶

Trigger: ScaffoldingCompleted or MicroserviceAssemblyFinished Orchestrator: TestingPlanOrchestrator

Flow:

Generate SpecFlow or xUnit test suite
Execute validation jobs via CI agent
Confirm deployment environments
Feedback loop into lifecycle → QAVerified

🧠 Special Orchestration Conditions¶

Condition	Example
Human-in-the-loop approval	`WaitForStudioConfirmation` before applying auth system
Agent failure fallback	Retry with alternate plan or skip optional phase
Phase-specific filtering	Apply templates only if phase is `InfrastructurePhase`
Dependency chaining	Microservice A → Events → Microservice B must exist

🔄 Cross-Cycle Coordination¶

Some use cases are composed:

Project Bootstrap → spawns → Microservice Assembly for each planned service
Microservice Assembly → triggers → CI/CD Setup and Testing Flow
Security Orchestration → can run in parallel but finalize only before GoLivePhase

These key orchestration use cases form the reusable automation recipes of the ConnectSoft AI Software Factory. Each use case aligns to lifecycle phases, triggers agents, and drives end-to-end outcomes with minimal manual intervention, but full traceability and recovery.

🔁 Bounded Contexts and Subdomains¶

This section defines the bounded contexts and logical subdomains of the Orchestration Domain. Each context encapsulates specific responsibilities and models that support clean, modular, and scalable orchestration in ConnectSoft's AI Software Factory.

These contexts enable teams to evolve orchestration capabilities independently, enforce boundaries between lifecycle, execution, and agent management, and align to Clean Architecture and DDD principles.

🧩 Top-Level Bounded Contexts¶

Context	Responsibility
`ExecutionPlanning`	Constructs and maintains task graphs for orchestrated flows
`LifecycleControl`	Advances project lifecycle states and validates phase transitions
`AgentTaskDispatch`	Issues commands to AI agents and receives outcomes
`EventTriggerRouting`	Listens to platform events and routes them to appropriate orchestrators
`CoordinationCore`	Hosts domain rules, orchestrator registry, and active flow metadata

🔷 1. ExecutionPlanning Context¶

Builds and persists ExecutionGraph DAGs per project
Supports dependency resolution, sequencing, and readiness
Core object: OrchestrationTaskGraph
Produces: TaskScheduled, GraphBuilt, NodeUnblocked

🧩 This context owns the logic of what can run next.

🔷 2. LifecycleControl Context¶

Integrates with the ProjectLifecycle domain
Advances lifecyclePhase in ProjectOrchestrationState
Triggers new orchestrators upon entering each phase
Guards invalid transitions using PhaseTransitionRules

🧩 It ensures actions are allowed only in valid lifecycle stages.

🔷 3. AgentTaskDispatch Context¶

Dispatches serialized task contracts to AI agents
Tracks task state updates (InProgress, Completed, Failed)
Validates task identity, agent permissions, and retry rules
Interfaces with: AgentSystem, AgentGateway, AgentInbox

🧩 It is the bridge between orchestrators and agent system contracts.

🔷 4. EventTriggerRouting Context¶

Subscribes to the global domain event bus
Filters events relevant to orchestration domain
Routes each event to the correct registered orchestrator(s)
Prevents duplicate scheduling via trace IDs or idempotency keys

🧩 This context powers reactive orchestration.

🔷 5. CoordinationCore Context¶

Maintains orchestrator metadata registry (e.g. bootstrap, microservice)
Hosts orchestration policies, escalation paths, global retry settings
Stores in-flight orchestration sessions and their trace context
Links to human-initiated actions (e.g. Studio confirmations)

🧩 It enables meta-level control and coordination of orchestrators.

🎯 Boundary Diagram¶

graph TD
  EventBus -->|routes to| EventTriggerRouting
  EventTriggerRouting --> CoordinationCore
  CoordinationCore --> ExecutionPlanning
  CoordinationCore --> LifecycleControl
  CoordinationCore --> AgentTaskDispatch
  AgentTaskDispatch -->|invoke| AgentSystem
  LifecycleControl --> ProjectLifecycle

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🚫 Anti-Patterns Avoided¶

Anti-Pattern	Solution in ConnectSoft
Monolithic orchestrators	Contexts split by responsibility and trigger type
Agent-state leakage	AgentTaskDispatch is isolated + contracts explicit
Shared state mutation	Each context owns its internal aggregate invariants

🧩 Future Contexts (Pluggable)¶

Planned Context	Purpose
`HumanConfirmationFlow`	Await Studio/UX confirmations for specific tasks
`OrchestrationMonitoring`	Stream traces, metrics, and health to observability services
`MultiProjectSync`	Manage dependencies and sequencing across multiple projects

By structuring the Orchestration Domain into clear bounded contexts, the platform can scale coordination logic across thousands of projects and agents without coupling or complexity. Each subdomain enforces a clean separation of responsibilities and supports autonomous evolution.

🔁 Trigger Sources and Event Routing¶

This cycle explains how orchestration flows are initiated by trigger sources, especially through event routing and reactive orchestration. Events act as the starting point for orchestrators to engage agents, apply templates, or advance lifecycle states.

The EventTriggerRouting context handles all orchestration triggers with traceable, idempotent, and tenant-isolated logic.

🚦 Primary Trigger Sources¶

Source Type	Description
Domain Events	Events like `ProjectCreated`, `MicroservicePlanned`, `PhaseChanged`
Agent Events	Results from agent executions (e.g. `PlanGenerated`, `TemplateApplied`)
Lifecycle Events	Transitions in the project phase machine (e.g. Init → InfraReady)
Scheduled Jobs	Timers or CRON triggers for delayed orchestration (e.g. daily test run)
Manual Inputs	User actions in Studio (e.g. “Apply Template”, “Run Agent”)

📡 Event Routing Pipeline¶

flowchart TD
  EventBus["📨 EventBus"] --> Filter["EventFilter"]
  Filter --> Router["EventRouter"]
  Router --> Dispatch["OrchestratorDispatcher"]
  Dispatch --> Orchestrator["Active Orchestrator"]

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EventFilter filters events based on type, tenant, and source.
EventRouter determines orchestration targets.
Dispatcher invokes registered orchestrator instance (stateful/stateless).
TraceId is preserved for observability and replay.

🧩 Event Handling Interface¶

Each orchestrator implements:

Task HandleEventAsync(DomainEvent @event, OrchestrationContext context);

Where:

@event is the raw payload (e.g. MicroservicePlanned)
context contains tenant, traceId, phase, projectId, etc.

📘 Examples of Event-Orchestrator Pairs¶

Domain Event	Routed Orchestrator
`ProjectCreated`	`ProjectBootstrapOrchestrator`
`MicroservicePlanned`	`MicroserviceAssemblyCoordinator`
`LifecyclePhaseChanged`	Phase-specific orchestrator (e.g. Infra)
`TemplateApplied`	Orchestrator may chain follow-up tasks
`AgentTaskFailed`	Retry handler or failure escalation

🔄 Chaining Events into New Triggers¶

Orchestrators can emit events that re-trigger other orchestrators, forming a composable workflow:

ProjectCreated
   ↓
PlanGenerated
   ↓
MicroservicePlanned
   ↓
TemplateApplied
   ↓
TestTriggered

Each event may:

Start a new orchestrator instance
Trigger an existing orchestrator to advance its graph

🔐 Idempotency & Deduplication¶

Handled via:

Unique eventId per event
Deduplication store by eventId + projectId
Optional replay detection for recovery scenarios

🧠 Scheduled Orchestration (Timer-Based Triggers)¶

Used for:

Re-running QA tests
Scheduled publishing jobs
Health checks and audits

Integrated with:

Azure Durable Timers
CRON expression metadata in orchestration definition
ScheduleTriggerOrchestrator with auto-resume

🎛️ Studio-Initiated Manual Triggers¶

Trigger Action	Routed To
“Regenerate Microservice” button	`MicroserviceAssemblyCoordinator`
“Apply Template to Project”	`TemplateApplierOrchestrator`
“Mark Phase Complete”	`LifecyclePhaseOrchestrator`

These are gated by:

Tenant policies
Feature flags
Required confirmations or RBAC

📊 Monitoring Trigger Activity¶

Metric	Description
`orchestration_triggers/sec`	Incoming routed events triggering orchestrators
`event_rejected_total`	Invalid or unauthorized events dropped
`manual_triggered_total`	Human-initiated orchestration starts
`orchestration_errors_total`	Failed starts or invalid graph conditions

The event routing system makes ConnectSoft orchestration reactive, decoupled, and traceable. Whether triggered by events, schedules, or user inputs, orchestrators respond with declarative task flows to drive agents, templates, and services autonomously.

🔁 ProjectBootstrapOrchestrator – Design and Flow¶

This section documents the structure, execution flow, and role of the ProjectBootstrapOrchestrator—the entry point into ConnectSoft’s autonomous SaaS factory. It activates when a user or agent creates a new project, kicking off the initial orchestration sequence that sets the foundation for all downstream flows.

🚀 When It’s Triggered¶

Domain Event:

{
  "type": "ProjectCreated",
  "projectId": "proj-123",
  "tenantId": "connectsoft",
  "triggeredBy": "user:dmitry"
}

This event triggers:

→ ProjectBootstrapOrchestrator

🧩 Primary Responsibilities¶

Task	Description
1️⃣ Load project metadata	Load initial domain model, architecture spec, and selected templates.
2️⃣ Generate system-level plan	Trigger `VisionArchitectAgent` → system architecture + naming.
3️⃣ Generate domain model plan	Trigger `EnterpriseArchitectAgent` → DDD entities + relationships.
4️⃣ Plan microservices	Trigger `PlannerAgent` → suggest microservices and responsibilities.
5️⃣ Dispatch microservice assembly	For each planned service, trigger `MicroserviceAssemblyCoordinator`.
6️⃣ Advance lifecycle phase	Emit `LifecyclePhaseChanged → PlanningCompleted`.

🔁 Execution Flow¶

sequenceDiagram
  participant Studio
  participant EventBus
  participant BootstrapOrchestrator
  participant VisionArchitectAgent
  participant EnterpriseArchitectAgent
  participant PlannerAgent
  participant LifecycleController

  Studio->>EventBus: ProjectCreated
  EventBus->>BootstrapOrchestrator: Trigger Start
  BootstrapOrchestrator->>VisionArchitectAgent: Generate System Plan
  BootstrapOrchestrator->>EnterpriseArchitectAgent: Generate Domain Model
  BootstrapOrchestrator->>PlannerAgent: Plan Microservices
  BootstrapOrchestrator->>EventBus: MicroservicePlanned (xN)
  BootstrapOrchestrator->>LifecycleController: Advance to PlanningCompleted

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🧠 ExecutionGraph Example¶

[
  { "taskId": "T1", "type": "GenerateVisionPlan", "agentId": "vision-architect-agent" },
  { "taskId": "T2", "type": "GenerateDomainModel", "agentId": "enterprise-architect-agent" },
  { "taskId": "T3", "type": "PlanMicroservices", "agentId": "planner-agent", "dependsOn": ["T1", "T2"] }
]

🔄 Phase Advancement¶

After all initial plans are complete, the orchestrator emits:

{
  "eventType": "LifecyclePhaseChanged",
  "from": "InitializationPhase",
  "to": "PlanningCompleted"
}

This enables downstream orchestrators to begin: MicroserviceAssembly, CI/CD, InfrastructureProvisioning.

🔐 Security & Control¶

Checkpoint	Enforcement Rule
Project template locked	Can’t proceed without template pre-configuration
Agent results timeout	If agents do not respond within threshold, escalate
Human-in-the-loop (optional)	Manual review of initial plan in Studio UI

🧩 Supporting Contracts¶

StartProjectBootstrapCommand
AgentInvocationRequest → agentId, planType, projectMetadata
MicroservicePlannedEvent → name, techStack, triggers assembly coordinator

📊 Observability & Telemetry¶

Trace Field	Description
`traceId`	Preserved throughout project orchestration
`phaseChangeReason`	Derived from orchestrator → lifecycle domain
`agentFlowStatus`	Status of each plan-generating agent
`projectBootstrapTimeMs`	End-to-end execution duration

🔁 Recovery Behavior¶

If domain model generation fails → retry with fallback prompt
If microservice planning fails → escalate to manual UI confirmation
ExecutionGraph supports partial plan recovery

The ProjectBootstrapOrchestrator initiates the first intelligent coordination for every new SaaS solution. By engaging multiple high-level agents and preparing the project lifecycle, it ensures ConnectSoft can scale from idea to infrastructure with autonomy, reliability, and traceability.

🔁 MicroserviceAssemblyCoordinator – Flow, Graph, and Agent Sequencing¶

This cycle explains the design, responsibilities, and flow logic of the MicroserviceAssemblyCoordinator. This orchestrator is triggered once microservices are proposed by planning agents, and it takes responsibility for coordinating their scaffolding, integration, and validation across the entire software factory pipeline.

It is one of the most frequently invoked orchestrators, capable of operating on hundreds of microservices per project.

🚀 When It’s Triggered¶

Event:

{
  "eventType": "MicroservicePlanned",
  "microserviceId": "svc-abc123",
  "projectId": "proj-xyz456",
  "agentId": "planner-agent"
}

The orchestrator will:

Retrieve the microservice definition
Build a tailored execution graph
Launch agent tasks in proper sequence

🧩 Responsibilities¶

Task	Description
🔁 Load microservice blueprint	Pull planned name, responsibilities, and tokenized parameters
📦 Apply code templates	Trigger `DeveloperAgent` to apply microservice template
🔐 Link auth model	If flagged, invoke `IdentityAgent` to define roles and permissions
🔗 Generate API Gateway route	Trigger `GatewayAgent` to add external/public routes
🎛️ Setup service bus events	Trigger `IntegrationAgent` for MassTransit or Azure Service Bus scaffolding
📊 Setup observability	Apply logging, tracing, health checks templates via `DevOpsAgent`
🧪 Run validation	Ensure compile + test passes, emit validation status

🔁 ExecutionGraph Example¶

[
  {
    "taskId": "M1",
    "type": "ApplyMicroserviceTemplate",
    "agentId": "developer-agent",
    "dependsOn": []
  },
  {
    "taskId": "M2",
    "type": "ConfigureApiGateway",
    "agentId": "gateway-agent",
    "dependsOn": ["M1"]
  },
  {
    "taskId": "M3",
    "type": "ApplyObservabilityTemplates",
    "agentId": "devops-agent",
    "dependsOn": ["M1"]
  },
  {
    "taskId": "M4",
    "type": "RunMicroserviceValidation",
    "agentId": "qa-agent",
    "dependsOn": ["M2", "M3"]
  }
]

📦 Applied Templates (Sample)¶

template-microservice-cleanarch
template-logging-serilog
template-healthcheck-ui
template-masstransit-setup
template-openiddict-auth
template-api-gateway-proxy

🤖 Involved Agents¶

Agent	Role in Flow
`DeveloperAgent`	Scaffold full microservice with proper tokens
`GatewayAgent`	Add API gateway route and CORS policies
`IntegrationAgent`	Add event bus subscription and publish declarations
`DevOpsAgent`	Inject infrastructure and monitoring templates
`QAAgent`	Run SpecFlow/xUnit tests after scaffolding
`SecurityAgent` (optional)	Inject roles, scopes, and auth methods

🔐 Input Validation¶

Microservice plans must contain:

name
entityModel
requiresAuth (bool)
exposedPublicly (bool)
technologyStack (must match template compatibility)

Failure to validate results in:

MicroserviceOrchestrationFailed event
Logging + optional UI feedback (for manual fixing)

🔁 Result: Event Emission¶

Once completed successfully:

{
  "eventType": "MicroserviceAssemblyCompleted",
  "microserviceId": "svc-abc123",
  "status": "Validated",
  "generatedArtifacts": ["Dockerfile", "svc.csproj", "tests"]
}

This can trigger:

CICDPipelineOrchestrator
TestOrchestrator
Optional manual review steps

💥 Failure Handling¶

Failure Point	Recovery Mechanism
Agent does not respond	Retry with backoff (max 3), then escalate
Invalid entity model	Skip generation, emit `InvalidDomainPlan`
CI validation fails	Retry after fix, or trigger manual approval

🔎 Traceability¶

All microservice orchestration:

Includes microserviceId, projectId, traceId
Is tracked via OrchestrationExecutionGraph
Logs per agent output are stored in execution state

🧠 Orchestration Design Patterns Used¶

Fan-out pattern: MicroservicePlan spawns multi-agent parallel tasks
Barrier synchronization: Validation starts only after all setup is done
Event-sourced orchestration: Each result is emitted and observed independently
Tenant-scoped orchestration: Ensures template and agent access rules are respected

The MicroserviceAssemblyCoordinator orchestrates the end-to-end microservice setup—from planning to generation, infrastructure, gateway, and testing—by executing a well-structured multi-agent plan. It is critical for producing composable and production-ready services within minutes.

🔁 TestingPlanOrchestrator – Coordinating Quality Assurance Flows¶

This section defines the structure and behavior of the TestingPlanOrchestrator, which governs automated test orchestration, QA validation, and test plan generation for microservices, domains, and end-to-end scenarios.

It is triggered after the scaffolding or modification of a microservice, template application, or infrastructure setup and ensures that the resulting system components are valid, verifiable, and production-grade.

🚀 Trigger Points¶

Trigger Event	Scenario
`MicroserviceAssemblyCompleted`	Validate service scaffolding correctness and behavior
`TemplateApplied (test suite)`	Execute associated validation steps
`PhaseAdvanced → QAPhase`	Run tests across all generated services and workflows
`Manual Test Trigger (Studio)`	Studio user clicks “Validate Microservice”

🧩 Responsibilities¶

Task	Description
📋 Generate Test Suite Plan	Trigger `QAAgent` to generate SpecFlow or xUnit tests
🧪 Execute Test Plans	Dispatch test runs to CI agent (or test executor)
📊 Capture Test Results	Parse and interpret results from test runners
🟢 Emit QA Status	Mark service/component as `QAVerified`, `QAFailed`, or `Skipped`
🔁 Retry or Manual Escalation	Handle retries or trigger fallback confirmations

🔁 ExecutionGraph Sample¶

[
  {
    "taskId": "TQA1",
    "type": "GenerateTestSuite",
    "agentId": "qa-agent"
  },
  {
    "taskId": "TQA2",
    "type": "RunUnitTests",
    "agentId": "qa-agent",
    "dependsOn": ["TQA1"]
  },
  {
    "taskId": "TQA3",
    "type": "ValidateResultAndEmitStatus",
    "agentId": "qa-agent",
    "dependsOn": ["TQA2"]
  }
]

🧠 Supported Test Types¶

Test Type	Triggering Agent	Target Components
Unit Tests	`QAAgent`	Microservice application logic
BDD Tests (SpecFlow)	`QAAgent`	Domain model + business processes
Integration Tests	`QAAgent`	Microservices with DB or API gateway
Infrastructure Smoke Tests	`DevOpsAgent`	Health checks, secrets, availability

📦 Applied Templates (Optional)¶

template-unit-tests-xunit
template-bdd-specflow
template-test-fixtures
template-database-testconfig

These templates are either applied manually or orchestrated from CI/CD flows.

📄 Validation Output Example¶

{
  "eventType": "MicroserviceQAVerified",
  "microserviceId": "svc-123",
  "testCoverage": 82.6,
  "testSuite": "SpecFlow",
  "result": "Passed"
}

🔁 Failure Scenarios¶

Case	Recovery Flow
Tests fail due to missing endpoint	Re-run after service re-deployment
Incomplete test scaffold	Escalate to `PlannerAgent` for additions
Agent crash during test	Retry task up to 3 times

🧑‍⚖️ Human-Driven QA (Optional)¶

In manual testing or hybrid environments:

QAReviewRequired event is emitted
ConnectSoft Studio shows a test report card
User manually accepts or rejects the QA phase
Recorded as QAManuallyVerified

📊 Observability & KPIs¶

Metric	Purpose
`qa_test_coverage_pct`	Average test coverage per microservice
`qa_pass_rate`	Percentage of successful test executions
`qa_fail_root_cause_count`	Common failures: setup, config, missing dep
`qa_execution_duration_ms`	Average runtime for all test plans

🔐 Security & Constraints¶

All test plans are sandboxed
Test inputs are generated using read-only or mockable data
Secure services (auth, secrets) are mocked during validation

The TestingPlanOrchestrator ensures that autonomously generated microservices and infrastructure are safe, valid, and test-covered before being marked as production-ready. It completes the loop of planning → generation → validation in the ConnectSoft autonomous pipeline.

🔁 SecurityHardeningOrchestrator – Identity, Permissions, and Auth Flow Setup¶

This section defines the responsibilities and execution flow of the SecurityHardeningOrchestrator, responsible for embedding identity, access control, and security services into each generated SaaS application. It coordinates agents and templates to apply auth systems, RBAC, OpenID Connect flows, and tenant-level permissioning.

This orchestrator ensures that security is a first-class, orchestrated concern, not an afterthought.

🚀 Trigger Points¶

Event Type	Scenario
`PhaseAdvanced → SecurityPhase`	Project enters the security hardening lifecycle phase
`MicroservicePlanned`	If service requires authentication
`Manual Trigger (Studio)`	“Apply Identity Layer” clicked by architect
`AuthTemplateApplied`	Further refinement orchestration needed

🧩 Responsibilities¶

Task	Description
🛡️ Scaffold Identity Microservice	Apply OpenIddict or OAuth2 template using `DeveloperAgent`
🔐 Define Roles, Claims, Scopes	Trigger `SecurityAgent` to define RBAC and OIDC claims
🔗 Connect Microservices to Identity	Modify `appsettings.json`, policies, and add OIDC flows
👁️ Apply API Authorization Policies	Secure endpoints with role-based decorators
🔑 Secrets Injection & Key Vault	Trigger `DevOpsAgent` to bind secrets and scopes to Azure Key Vault
🧪 Validate Auth Flows	Trigger `QAAgent` to validate login, tokens, and authorization checks

🔁 ExecutionGraph Example¶

[
  {
    "taskId": "S1",
    "type": "ScaffoldIdentityService",
    "agentId": "developer-agent"
  },
  {
    "taskId": "S2",
    "type": "DefineRBACModel",
    "agentId": "security-agent",
    "dependsOn": ["S1"]
  },
  {
    "taskId": "S3",
    "type": "InjectSecrets",
    "agentId": "devops-agent",
    "dependsOn": ["S1"]
  },
  {
    "taskId": "S4",
    "type": "TestAuthenticationFlow",
    "agentId": "qa-agent",
    "dependsOn": ["S2", "S3"]
  }
]

🔐 Security Layer Templates Used¶

template-openiddict-auth-microservice
template-identity-scopes-roles
template-secrets-injection
template-api-auth-policy
template-oidc-client-config

Each template is parameterized by:

TenantId
ServiceName
PublicClientRedirectUris
AdminRoles / UserRoles

🧠 Agent Collaboration¶

Agent	Responsibility
`DeveloperAgent`	Scaffold OpenIddict, configure client credentials
`SecurityAgent`	Define and inject claims, policies, and scopes
`DevOpsAgent`	Register secrets, configure identity URLs
`QAAgent`	Simulate login/token flows, test endpoint protections

🔐 Role & Permission Model¶

Security metadata includes:

{
  "roles": ["Admin", "User", "QA"],
  "claims": ["CanViewOrders", "CanManageUsers"],
  "scopes": ["api.read", "api.write", "identity.profile"]
}

🧪 Validation Output Example¶

{
  "eventType": "SecurityHardeningVerified",
  "projectId": "proj-123",
  "identityService": "svc-auth",
  "accessControlStatus": "Passed",
  "testedRoles": ["Admin", "User"]
}

🔁 Recovery & Manual Review¶

Scenario	Fallback Action
Role mismatch or missing claim	Escalate to Studio → security architect confirmation
Auth flow failure	Retry with alternate token or agent suggestion
Secret binding failed	Mark `SecurityOrchestrationFailed`, retry on next phase

📊 Telemetry Fields¶

Field	Purpose
`security_hardening_time_ms`	Total time for orchestration + agent tasks
`identity_templates_applied`	Count of security-related templates
`qa_auth_tests_passed`	Binary success/failure of final auth test suite

The SecurityHardeningOrchestrator elevates security to a built-in orchestration capability, ensuring each SaaS solution has fully wired authentication, secrets management, role enforcement, and test coverage—powered by agents and templates.

🔁 CI/CD Orchestration – Pipeline Template Application and Build Verification¶

This section documents the CI/CD pipeline orchestration process managed by the CICDPipelineOrchestrator, which configures automated build-test-deploy pipelines for generated microservices and infrastructure. It ensures that every scaffolded module is production-deployable through modern DevOps automation.

This orchestrator translates microservice metadata and templates into runnable Azure DevOps pipelines, including artifact publishing, testing, release, and multi-environment configuration.

🚀 Trigger Points¶

Event Type	Scenario
`MicroserviceAssemblyCompleted`	Microservice is ready and validated
`PhaseAdvanced → PipelinePhase`	Project enters the CI/CD pipeline setup lifecycle phase
`Manual Trigger (Studio)`	User clicks “Setup Build Pipeline” in UI

🧩 Responsibilities¶

Task	Description
🧱 Apply Pipeline Templates	Scaffold `azure-pipelines.yml` and supporting build config files
🔐 Configure Secrets and Tokens	Inject registry credentials, Azure login info, and token scopes
🧪 Inject Test and Linting Steps	Apply templates for `dotnet test`, `specflow`, `stylecop` etc.
🐳 Configure Docker Build & Publish	Define `Dockerfile`, container registry auth, tagging strategy
🔁 Push Initial Pipeline to Repo	Commit all CI/CD files to appropriate repo path
✅ Trigger Initial Build	Use DevOps API or CLI to start build and gather results

📁 Applied Templates¶

template-ci-yaml-core
template-ci-xunit-step
template-ci-dockerize
template-ci-test-coverage
template-pipeline-var-group
template-release-env-dev/staging/prod

All templates are parameterized using:

microserviceName
buildStageDependencies
deploymentSlots
artifactName
registryUrl

🔁 ExecutionGraph Sample¶

[
  {
    "taskId": "C1",
    "type": "ApplyPipelineYamlTemplate",
    "agentId": "devops-agent"
  },
  {
    "taskId": "C2",
    "type": "ConfigureDockerBuild",
    "agentId": "devops-agent",
    "dependsOn": ["C1"]
  },
  {
    "taskId": "C3",
    "type": "TriggerPipelineRun",
    "agentId": "devops-agent",
    "dependsOn": ["C2"]
  },
  {
    "taskId": "C4",
    "type": "CapturePipelineStatus",
    "agentId": "qa-agent",
    "dependsOn": ["C3"]
  }
]

🧠 Agent Roles¶

Agent	Function
`DevOpsAgent`	Applies pipeline, deployment, docker, and environment templates
`QAAgent`	Validates build/test results and test coverage
`SecurityAgent`	Ensures credential injection is secured and auditable

🧪 Validation Criteria¶

CI build is marked successful when:

Pipeline succeeds with 0 build/test failures
All required stages (test, coverage, build, publish) are present
Docker image is built and pushed (if configured)
Artifacts are linked to a release pipeline or environment

📦 Example Output Event¶

{
  "eventType": "PipelineSetupCompleted",
  "microserviceId": "svc-orders",
  "pipelineId": "azdevops-1981",
  "status": "Success",
  "coverage": 85.1,
  "dockerImage": "acr.azurecr.io/svc-orders:1.0.0"
}

🔁 Failure Handling¶

Failure Condition	Remediation Path
YAML template missing or invalid	Retry with fallback template
Azure DevOps access denied	Escalate to human admin, emit `PipelineAuthError`
Test stage fails	Trigger `QAAgent` to re-run or request fix

🔐 Secrets & RBAC Constraints¶

Use Azure Key Vault + DevOps Library Var Groups
Pipelines are scoped per tenant, with namespace isolation
All credentials injected via secure task variables or linked secrets

📊 Telemetry¶

Metric	Purpose
`pipeline_setup_duration_ms`	Time to scaffold, commit, and validate CI/CD
`pipeline_failure_count`	Track agent/pipeline/template misalignment
`ci_artifact_publish_rate`	Track % of builds that produce valid artifacts
`build_success_rate`	Overall system quality metric

The CICDPipelineOrchestrator transforms microservice plans into runnable, auditable CI/CD pipelines with Docker builds, secrets injection, tests, and deploy steps—entirely agent-driven and aligned to ConnectSoft's automation standards.

🔁 Triggering Agents via Events – Orchestration-Driven Collaboration¶

This section explains how orchestrators in the ConnectSoft platform trigger agents through event-based contracts, enabling decoupled, traceable, and phase-aware collaboration between orchestration services and AI-driven agents.

Rather than calling agents directly, orchestrators emit structured commands as domain events, which are picked up by agent inboxes or agent gateways, making the system reactive and resilient.

📦 Trigger Mechanism Overview¶

Orchestrator evaluates task readiness from ExecutionGraph.
It emits an AgentTaskScheduled domain event.
The agent’s event handler receives the task and executes it.
The agent emits AgentTaskCompleted, AgentTaskFailed, or follow-up domain events.

🔁 Example Event Structure¶

🔸 Outgoing Agent Trigger¶

{
  "eventType": "AgentTaskScheduled",
  "traceId": "trace-xyz",
  "projectId": "proj-123",
  "agentId": "developer-agent",
  "taskType": "ApplyTemplate",
  "taskPayload": {
    "templateId": "template-microservice",
    "inputs": {
      "serviceName": "orders",
      "namespace": "connectsoft.svc.orders"
    }
  }
}

🔹 Expected Agent Response¶

{
  "eventType": "AgentTaskCompleted",
  "agentId": "developer-agent",
  "taskId": "task-xyz",
  "result": {
    "status": "Success",
    "outputs": {
      "filesGenerated": 18,
      "validationStatus": "Passed"
    }
  }
}

📘 Trigger-to-Response Lifecycle¶

sequenceDiagram
  participant Orchestrator
  participant EventBus
  participant Agent
  participant ProjectState

  Orchestrator->>EventBus: AgentTaskScheduled
  EventBus->>Agent: Receive Agent Task
  Agent->>Agent: Execute Task Logic
  Agent->>EventBus: AgentTaskCompleted
  EventBus->>Orchestrator: Notify with result
  Orchestrator->>ProjectState: Update ExecutionGraph

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

📚 Supported AgentTask Types¶

Task Type	Description
`ApplyTemplate`	Applies a .NET, DevOps, or frontend template
`GeneratePlan`	Produces architectural/domain/infra plans
`RunTests`	Executes tests and validation scripts
`ConfigureServiceBus`	Generates or updates event bus topology
`InjectSecrets`	Applies secrets/config into environments

🧠 Agent Trigger Abstractions¶

To support multi-agent environments, all triggers are standardized with:

traceId
projectId
taskId
taskType
payload
agentPersona (e.g., qa, devops, planner)
phaseContext

Agents implement a single entrypoint like:

Task HandleAgentTaskAsync(AgentTask task, CancellationToken ct);

🧱 Idempotency & Reliability¶

Strategy	Implementation
Idempotency keys	Combine `taskId` + `traceId` to avoid reprocessing
Retry metadata	Task includes retry policy and max attempt thresholds
Agent acknowledgment	Agents must confirm receipt to avoid duplicate triggering

🛡️ Error & Fallback Behavior¶

Error Case	Orchestrator Reaction
Agent does not acknowledge task	Retry with exponential backoff
Agent reports permanent failure	Emit `AgentTaskFailed` → escalate or skip
Agent silent after N minutes	Mark task as `Stalled`, issue Studio notification

🧩 Event Traceability¶

All agent-triggered tasks include:

traceId: Linked to full orchestration tree
agentId: AI persona or microservice-bound executor
projectId: Project-specific context for isolation
phase: Lifecycle enforcement logic
origin: OrchestratorName + Phase + TaskIndex

📊 Observability¶

Metric	Purpose
`agent_tasks_triggered_total`	All emitted task events
`agent_task_success_rate`	% of agent tasks completing successfully
`avg_agent_response_time`	Mean time between trigger and result
`agent_task_retry_count`	Count of retries per task type

The orchestration layer triggers agents using structured domain events that carry clear intent, payload, context, and correlation metadata. This approach supports multi-agent concurrency, idempotency, observability, and policy-based enforcement at scale, allowing ConnectSoft to operate thousands of agent flows in parallel.

🔁 Human-in-the-Loop Collaboration – Manual Approvals and Checkpoints in Orchestration¶

This section details how the orchestration domain integrates human oversight and decision-making checkpoints into autonomous agent workflows. Human-in-the-loop (HITL) features ensure safety, correctness, and user alignment by requiring manual approvals, confirmations, or guided inputs at key decision points.

This is essential in phases like security, production deployment, or domain modeling, where agents may require human confirmation or manual intervention before proceeding.

📌 Use Cases for Manual Collaboration¶

Scenario	Example Triggered Action
Approving a generated domain model	Confirm entity relationships suggested by `EnterpriseArchitectAgent`
Reviewing an OAuth flow configuration	Approve OpenID client redirect URIs
Pushing to production	Require Studio user confirmation before `DeployToProduction` executes
Accepting fallback planning	User approves alternate path after agent failure or incomplete output
Resolving ambiguous template matches	Studio displays template choice preview before orchestration continues

👤 Interaction Flow¶

sequenceDiagram
  participant Orchestrator
  participant StudioUI
  participant User
  participant EventBus

  Orchestrator->>StudioUI: Emit HumanTaskRequested
  StudioUI->>User: Prompt for action (Approve/Reject/Modify)
  User->>StudioUI: Submits response
  StudioUI->>EventBus: Emit HumanTaskResponseReceived
  EventBus->>Orchestrator: Resume orchestration with result

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

📘 Event Examples¶

🟡 Task Requested¶

{
  "eventType": "HumanTaskRequested",
  "traceId": "trace-abc",
  "projectId": "proj-123",
  "taskId": "manual-456",
  "title": "Approve OAuth Settings",
  "description": "Confirm redirect URIs and token scopes for svc-auth",
  "options": ["Approve", "Edit", "Reject"],
  "requiredRole": "Architect"
}

🟢 Task Response¶

{
  "eventType": "HumanTaskResponseReceived",
  "taskId": "manual-456",
  "response": "Approved",
  "submittedBy": "user:dmitry",
  "timestamp": "2025-05-05T10:13:00Z"
}

🧠 Orchestrator Responsibilities¶

Task	Description
Emit `HumanTaskRequested` event	Define prompt details, roles, options
Pause orchestration flow	Block dependent execution graph node until manual input is received
Resume orchestration on response	Interpret response (e.g. continue, skip, modify)
Enforce RBAC for sensitive approvals	Restrict actions to authorized Studio users

📦 Human Task Metadata Model¶

Field	Type	Description
`taskId`	string	Unique ID for the pending human task
`projectId`	string	Target project context
`prompt`	string	Display text to user
`options`	array	List of available actions (Approve, etc.)
`requiredRole`	string	e.g., “Architect”, “Admin”, “Reviewer”
`traceId`	string	For correlation with orchestration flow

🔐 RBAC Enforcement¶

All manual approvals are:

Mapped to project-level roles or ConnectSoft tenant policies
Logged with traceId and userId for auditability
Escalated if no response within timeout window (optional fallback)

⏱️ Timeout & Escalation Rules¶

Rule	Description
`responseTimeoutSec`	If exceeded, orchestration logs a `TimeoutWarning`
`fallbackAction`	Defined path: continue, skip, or abort orchestration
`escalationTarget`	Optional secondary user or group to notify on delay

📊 Telemetry and Tracking¶

Metric	Purpose
`human_tasks_requested_total`	Total prompts emitted across all orchestrators
`human_task_avg_response_time`	Average user reaction time
`manual_intervention_rate`	% of orchestrations requiring human input
`approval_rate_by_role`	Breakdown of response types by user role

Human-in-the-loop checkpoints allow the orchestration layer to collaborate intelligently with real users, incorporating approval flows, overrides, and fallback paths. This hybrid pattern blends automation with safety, transparency, and stakeholder control.

🔁 Execution Flow Tracking – Monitoring Graph State and Task Progress¶

This section defines how the orchestration layer tracks the real-time state of the execution graph, including the status of each orchestrated task, task dependencies, and orchestration progress.

This capability is essential for:

Displaying orchestration progress in Studio
Resuming interrupted flows
Diagnosing issues across multi-agent pipelines

📦 Execution State Model¶

At the core is the ExecutionGraph, a directed acyclic graph (DAG) where each node represents an orchestration task and its current state.

🔸 ExecutionGraphNode¶

{
  "taskId": "T3",
  "type": "RunUnitTests",
  "status": "InProgress",
  "agentId": "qa-agent",
  "dependsOn": ["T1", "T2"],
  "startedAt": "2025-05-05T12:00:00Z",
  "completedAt": null
}

🔹 Task Status Values¶

Status	Description
`Pending`	Not started; waiting for dependencies
`Ready`	All dependencies satisfied, awaiting dispatch
`InProgress`	Task triggered and running
`Completed`	Successfully executed
`Failed`	Executed and failed
`Stalled`	Hung or unresponsive
`Skipped`	Intentionally bypassed

🔁 Lifecycle of a Task Node¶

stateDiagram-v2
  [*] --> Pending
  Pending --> Ready: Dependencies Satisfied
  Ready --> InProgress: Dispatched to Agent
  InProgress --> Completed: AgentTaskCompleted
  InProgress --> Failed: AgentTaskFailed
  InProgress --> Stalled: Timeout
  Failed --> Skipped: Manual Override

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

🧠 Real-Time Graph Tracking¶

Each orchestrator maintains:

Current graph snapshot in ProjectOrchestrationState
Task status updates emitted as events: TaskStarted, TaskCompleted, etc.
Full execution trace with timestamps, durations, agent metadata

This allows:

UI rendering of dependency trees and flow status
Time-based alerts and escalations
Graph replay and debugging

📈 Example Progress Output¶

{
  "executionStatus": {
    "totalTasks": 6,
    "completed": 4,
    "inProgress": 1,
    "failed": 1
  },
  "activeTasks": ["RunTests"],
  "blockedTasks": ["ValidateCoverage"]
}

📋 ExecutionGraph Utilities¶

Utility	Purpose
`GetNextExecutableTasks()`	Returns all `Ready` tasks based on current graph state
`MarkTaskComplete(taskId)`	Updates task + downstream dependencies
`TraceExecutionTree()`	Returns subgraph rooted at given task for inspection
`ReplayGraph(traceId)`	Simulates past execution with historic task statuses

💾 Persistence and Recovery¶

Execution graphs are stored in a distributed state store (e.g., Redis, Cosmos DB)
Tasks are updated atomically per orchestration context
Supports pause-resume, multi-tenant isolation, and partial replay

📊 Metrics & Observability¶

Metric	Description
`orchestration_graph_depth`	Max depth of dependency chain
`avg_task_duration_by_type`	Aggregated task execution durations
`stalled_task_count`	Tasks stuck in `InProgress` too long
`orchestration_completion_ratio`	% of completed tasks in each graph

🔐 Role in Orchestration Studio¶

Execution flow is visualized:

As a live DAG (Mermaid or graph DB-based)
With task statuses, agent avatars, and time markers
Filtered by microservice, template, or phase

The ExecutionGraph is the real-time memory and heartbeat of an orchestrator, enabling detailed tracking, dependency management, replay, and debugging across large-scale AI-driven software generation.

🔁 Orchestration Failure Handling and Recovery Patterns¶

This section outlines how the orchestration layer detects, logs, and recovers from partial failures, agent crashes, invalid templates, or execution timeouts. It establishes a fault-tolerant foundation for ConnectSoft to operate at scale, ensuring orchestration flows are resilient and recoverable.

💥 Common Failure Scenarios¶

Scenario	Description
🧠 Agent fails to respond	Agent crashes, doesn't acknowledge task, or fails execution
⏱️ Task execution timeout	Task stuck in `InProgress` state beyond allowed threshold
🔁 Retry limit exceeded	Max retries reached without success
🔐 Security or RBAC violation	Task or event rejected due to permission error
❌ Template invalid or missing	Code generation fails due to missing files, tokens, or logic errors
🛑 Downstream dependency failure	Parent task or orchestrator fails; dependent flow blocked

🔁 Recovery Patterns¶

🔹 1. Retry with Backoff¶

Each task includes a retry policy (max attempts, delay, exponential factor)
On AgentTaskFailed, orchestrator may retry automatically:

{
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffStrategy": "exponential",
    "initialDelaySec": 30
  }
}

🔹 2. Skip and Continue¶

For non-blocking tasks (e.g. test coverage, analytics), orchestrator can skip and mark as Skipped
Downstream tasks proceed with a warning
Logged as PartialOrchestrationCompleted

🔹 3. Human Escalation¶

Orchestrator emits ManualInterventionRequired
User in Studio can choose to:
Retry manually
Replace input
Cancel orchestration

🔹 4. Fallback Orchestrator Invocation¶

Alternate orchestrator can be triggered if primary fails
E.g., use BasicPlannerAgent instead of PlannerAgent on failure

🧱 Error Classifications¶

Type	Examples	Strategy
Recoverable	Timeout, missing resource, retryable error	Retry or skip
Partially recoverable	Test fail, missing optional templates	Warn and continue
Fatal	Invalid project model, agent not available	Escalate to user, stop flow
Policy violation	RBAC denied, secret injection blocked	Abort task, log audit trail

📋 Example Failure Event¶

{
  "eventType": "OrchestrationTaskFailed",
  "projectId": "proj-abc",
  "taskId": "T4",
  "reason": "AgentTimeout",
  "attempts": 3,
  "maxAttempts": 3,
  "traceId": "trace-123"
}

📊 Monitoring & Alerts¶

Metric	Purpose
`task_failures_total`	Aggregate failure count by agent/task type
`task_retry_attempts_avg`	Average retries before success or escalation
`stalled_tasks_total`	Number of hung/incomplete tasks
`orchestration_abort_rate`	% of flows terminated due to unhandled failures

🛡️ Safety Policies¶

Rule	Description
Max stalled time (per task)	Default 15 min → escalate or abort
Max retries per orchestrator	Default 3 attempts, tracked per `taskId`
Escalation TTL (time to live)	Manual intervention expires after 2h, system continues
Flow lock on repeated failure	Prevent infinite loops, temporarily block execution

🔁 Resumability¶

All orchestrators store checkpointed graph state
Flows can be resumed on platform reboot or after human input
A traceId maps the full execution path for diagnostics

The orchestration layer incorporates structured failure detection, automatic retries, human escalation, and fallback strategies to guarantee consistent outcomes across thousands of orchestrated tasks and agent workflows—even in unpredictable, real-world conditions.

🔁 Orchestration Observability – Logs, Traces, and Telemetry Design¶

This section defines how orchestration flows are made observable, diagnosable, and traceable across distributed agents, services, and lifecycle stages. It provides the foundation for real-time monitoring, alerting, and retrospective debugging in the ConnectSoft AI Software Factory.

Observability is implemented using structured logs, correlated traces, execution metrics, and optional visual graphs in Studio.

📦 Observability Layers¶

Layer	Description
📄 Structured Logging	Agent and orchestrator log records with metadata
🔁 Execution Tracing	`traceId` used to correlate all agent tasks + events
📊 Metrics	Prometheus-style counters, gauges, histograms
🧠 Semantic Audit Trail	Describes orchestration intent and human actions
🖼️ Visual Graph UI	Studio renders orchestrator DAGs with live status

🧾 Structured Logs¶

Every task and orchestrator emits logs with consistent schema:

{
  "timestamp": "2025-05-05T15:15:00Z",
  "traceId": "trace-abc",
  "projectId": "proj-xyz",
  "taskId": "T1",
  "agentId": "developer-agent",
  "logLevel": "Info",
  "message": "Applied template successfully",
  "durationMs": 3125
}

✅ Logged to:

Elasticsearch
Application Insights
Azure Monitor (per tenant)

📈 Key Metrics¶

Metric Name	Type	Description
`orchestrations_started_total`	Counter	New orchestrations launched
`agent_task_latency_ms`	Histogram	Time between dispatch and response
`template_applied_count`	Counter	Number of template applications per orchestrator
`orchestration_active_total`	Gauge	Currently running orchestrations
`agent_failure_rate`	Gauge	Percent of failed tasks per agent
`qa_pass_rate`	Gauge	QA validation success ratio

📍 Metrics are exported via OpenTelemetry or Prometheus-compatible endpoints.

🔍 Distributed Tracing (TraceID)¶

The traceId:

Is generated per orchestration flow (UUID or ULID)
Propagated to every event, agent task, and response
Enables full-path replay in monitoring systems

Each agent logs:

traceId, taskId, phase, agentId, tenantId

💡 Used by:

OpenTelemetry trace viewers
Azure Monitor / App Insights application maps
Orchestration Graph visualizer in Studio

🧠 Semantic Audit Trail¶

Every significant decision or manual action is recorded:

{
  "type": "ManualApproval",
  "actor": "user:dmitry",
  "action": "Approved domain model plan",
  "phase": "Planning",
  "timestamp": "2025-05-05T13:50:00Z",
  "traceId": "trace-xyz"
}

Enables:

Post-mortem audits
Governance compliance
Replay or rollback of orchestrations

🖼️ Studio Integration¶

Orchestration Studio UI shows:

DAG view of all orchestration tasks and dependencies
Task status: pending, running, complete, failed
Logs grouped by traceId, taskId, agentId
Inline preview of agent output (e.g., plan, template, test result)

Studio uses:

WebSocket/live polling for updates
Aggregated metrics for dashboards

🚦 Alerting Rules (Optional)¶

Rule	Alert Description
`agent_task_latency_ms > 30000`	Agent not responding in time
`orchestration_failure_rate > 5%`	High error ratio in last hour
`template_failure_count > 0`	Template generation issues

Connected to:

Azure Alerts
Grafana dashboards
Slack/Teams for critical projects

Orchestration observability transforms the platform from “autonomous but opaque” to transparent, debuggable, and trustworthy. It supports both engineers and Studio users in understanding how software is generated, where failures happen, and how systems are evolving over time.

🔁 Coordinators vs. Orchestrators – Structural Patterns and Runtime Roles¶

This section clarifies the architectural distinction between Orchestrators and Coordinators in the ConnectSoft AI Software Factory. While often related, they serve different roles in the orchestration ecosystem—orchestrators execute bounded flows, whereas coordinators manage orchestration composition, delegation, and runtime control across multiple flows or domains.

Understanding this separation is key to maintaining modular, scalable, and composable orchestration logic.

🔄 Core Distinction¶

Feature	Orchestrator	Coordinator
Scope	Single flow (e.g., Bootstrap, Security)	Multiple orchestrators (e.g., by domain or project)
Lifecycle	Per event / per traceId	Long-lived (per project or tenant scope)
Logic Focus	Flow definition, graph execution	Orchestration registry, session memory, escalation handling
State Ownership	Task graph and current node state	Orchestration status, cross-flow relationships
Trigger Mechanism	Event-driven (Domain Events)	Passive or registry-based; called by orchestrators
Recovery Role	Handles partial graph recovery	Manages cross-orchestrator recovery or overrides

🧩 Examples in ConnectSoft¶

🔸 Orchestrators¶

Name	Purpose
`ProjectBootstrapOrchestrator`	Triggers agents to create architecture and domain plans
`MicroserviceAssemblyCoordinator`	Orchestrates microservice scaffolding
`SecurityHardeningOrchestrator`	Applies roles, scopes, identity setup
`CICDPipelineOrchestrator`	Applies pipeline templates and builds services

🔹 Coordinators¶

Name	Role
`ProjectOrchestrationCoordinator`	Tracks orchestration state per project
`MicroserviceExecutionCoordinator`	Manages graph state and agent routing per service
`HumanApprovalCoordinator`	Manages pending human decisions and Studio responses
`FallbackCoordinator`	Substitutes failing orchestrators or agents

🧱 Coordinator Design Elements¶

🔁 Orchestrator Registry Maps event types and lifecycle stages to orchestrator classes → Used by EventTriggerRouter
🧠 State Tracker / Store Central store for orchestration execution state (e.g. CosmosDB, Redis)
📡 Agent Delegation Router Supports forwarding agent tasks between orchestrators when needed
🚦 Policy Enforcer Applies retry, escalation, fallback, or skip policies globally

🧠 Example Runtime Relationship¶

graph TD
  EventBus --> OrchestratorA
  EventBus --> OrchestratorB
  OrchestratorA --> Coordinator
  OrchestratorB --> Coordinator
  Coordinator --> StateStore[(OrchestrationState)]
  Coordinator --> Studio

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

Orchestrators emit results
Coordinator persists metadata
Studio queries coordinator state
Coordinator may retry/reassign work

📦 Shared Concepts¶

Concern	Who Owns It	Behavior
ExecutionGraph	Orchestrator	Task-level flow structure
Project Phase	Coordinator	Cross-orchestrator lifecycle advancement
Trace ID	Shared	Used by all logs, events, agents
Agent Delegation	Coordinator	May reroute based on orchestration state

🔁 Benefits of Separation¶

Benefit	Description
🔍 Observability	Coordinators track orchestration evolution across flows
♻️ Reusability	Same coordinator supports different orchestrators
🧩 Modularity	Orchestrators can be independently versioned/swapped
💥 Isolation	Faulty orchestrator doesn’t corrupt shared state

Coordinators provide long-running oversight and state tracking across orchestrators, while orchestrators define task-specific, event-driven execution logic. This distinction ensures ConnectSoft’s orchestration model remains scalable, traceable, and easy to extend in both human and agent-driven systems.

🔁 Event Sources and Event Contracts for Orchestration Layer¶

This section documents the event-driven architecture of the orchestration domain—focusing on the event types, publishers, schemas, and routing rules that allow orchestrators to act reactively, maintain state consistency, and engage agents or human users automatically.

ConnectSoft orchestrators are fully event-sourced, and rely on consistent contracts and schemas for interoperability, traceability, and extensibility.

🔁 Core Event Sources¶

Source Component	Description
🧠 Agents	Emit task results (`AgentTaskCompleted`, `PlanGenerated`)
🧱 Templates Engine	Emit events like `TemplateApplied`, `TemplateFailed`
👤 Studio Actions	Emit `ManualTaskApproved`, `TriggerRequested`, `OverrideSubmitted`
📦 Infrastructure Executors	Emit `DeploymentCompleted`, `SecretInjected`, `PipelineStarted`
📅 Lifecycle Controller	Emits `LifecyclePhaseAdvanced`, `PhaseFailed`, etc.

All are pushed into a central Event Bus (e.g., Azure Event Grid, Kafka, or MassTransit abstraction).

📘 Event Contract Schema¶

Every orchestration-related event uses a normalized schema:

{
  "eventType": "AgentTaskCompleted",
  "eventId": "evt-123",
  "traceId": "trace-xyz",
  "projectId": "proj-abc",
  "source": "developer-agent",
  "payload": {
    "taskId": "T1",
    "status": "Success",
    "outputs": { "filesGenerated": 14 }
  },
  "timestamp": "2025-05-05T16:40:00Z"
}

📦 Standard Orchestration Events¶

Event Type	Producer	Used For
`ProjectCreated`	Studio / API	Bootstrap orchestrator entrypoint
`AgentTaskScheduled`	Orchestrator	Trigger specific agent
`AgentTaskCompleted`	Agent	Resume graph / validate success
`AgentTaskFailed`	Agent	Retry / escalate / abort logic
`TemplateApplied`	Agent or Template Svc	Mark template success and artifact refs
`MicroservicePlanned`	PlannerAgent	Triggers MicroserviceAssembly flow
`PipelineSetupCompleted`	DevOpsAgent	Continue to deployment phase
`LifecyclePhaseAdvanced`	Lifecycle Coordinator	Begin new orchestrator in next phase

🧩 Custom Domain Events¶

Orchestrators may define custom events such as:

SecurityScopeBound
GatewayRouteRegistered
EntityRelationshipConfirmed
QAVerificationFailed
ReleaseCandidateReady

Each includes:

projectId, tenantId, traceId
Optional microserviceId
origin: orchestrator or agent name

📡 Event Routing Rules¶

EventBus → Router → Dispatcher → Orchestrator

flowchart TD
  EventBus --> Filter
  Filter --> Router
  Router --> OrchestratorA
  Router --> OrchestratorB

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

Filter based on tenant, type, and trace
Router maps eventType → orchestrator handlers
Each orchestrator subscribes only to events in its scope

✅ Event Contract Guidelines¶

Rule	Enforcement
Must include `traceId`	Enables full flow traceability
`eventId` must be unique	Prevents duplicate processing
Payload should be strongly typed	Validate before dispatch to orchestrator
Events are immutable	No updates; always emit follow-up events instead
Backward-compatible versions only	Old orchestrators must tolerate schema extensions

📊 Observability of Events¶

All events are:

Logged with correlation to taskId, orchestratorId, agentId
Exposed via event stream visualizers in Studio
Persisted in an Event Store (or via audit stream)

Example telemetry:

{
  "metric": "agent_task_success_rate",
  "value": 0.97,
  "agent": "qa-agent",
  "window": "last_1h"
}

The orchestration layer thrives on a robust event contract system. By ensuring every component—from agents to Studio to infrastructure—communicates via consistent, observable events, the ConnectSoft platform becomes inherently extensible, debuggable, and adaptive to change.

🔁 Lifecycle Phase Transitions and Phase-Gated Orchestration¶

This section defines the lifecycle model used in ConnectSoft’s orchestration layer and how phase-based orchestration ensures each project progresses through a safe, orderly, and autonomous set of generation, validation, and deployment stages.

Lifecycle phases act as gates and milestones that control which orchestrators are activated and what agents or human actions are permitted at each point.

🗂️ Standard Project Lifecycle Phases¶

Phase Name	Description
`InitializationPhase`	Project created; orchestrator bootstrap begins
`PlanningPhase`	Architecture, domain model, microservice planning
`AssemblyPhase`	Code generation, template application, configuration
`SecurityPhase`	Identity setup, roles, claims, secrets, and policies
`ValidationPhase`	QA test orchestration, coverage, and human approvals
`PipelinePhase`	CI/CD pipeline generation and trigger setup
`DeploymentPhase`	Infrastructure and deployment to target environments
`ObservabilityPhase`	Logging, tracing, alerts, dashboards configured
`DeliveryCompletePhase`	All systems validated and project marked complete

Each phase has:

Entry event (LifecyclePhaseAdvanced)
Optional orchestrator launch
Allowable agent/task types

🔁 Phase Transition Mechanism¶

sequenceDiagram
  participant Coordinator
  participant EventBus
  participant Orchestrator
  participant ProjectState

  Orchestrator->>Coordinator: RequestPhaseAdvance("AssemblyPhase")
  Coordinator->>ProjectState: UpdatePhase
  Coordinator->>EventBus: Emit LifecyclePhaseAdvanced
  EventBus->>Orchestrator: Trigger next orchestrator(s)

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

📘 LifecyclePhaseAdvanced Event¶

{
  "eventType": "LifecyclePhaseAdvanced",
  "projectId": "proj-abc",
  "from": "PlanningPhase",
  "to": "AssemblyPhase",
  "triggeredBy": "bootstrap-orchestrator",
  "timestamp": "2025-05-05T17:05:00Z"
}

🧱 Phase Constraints¶

Phase	Allowed Orchestrators	Disallowed Tasks
`PlanningPhase`	`DomainModelOrchestrator`, `VisionPlanOrchestrator`	No template generation or pipelines
`SecurityPhase`	`SecurityHardeningOrchestrator`	Cannot deploy or release to prod
`ValidationPhase`	`TestingPlanOrchestrator`, `QAAgent`	Agent planning is locked
`DeploymentPhase`	`DeployOrchestrator`	Planning and architecture changes blocked

🔒 Phase Enforcement Rules¶

Tasks outside current phase → rejected or postponed
Manual override allowed for approved roles (Studio, Admins)
Phase transitions validated by Coordinator via dependency checks

✅ Phase Advancement Triggers¶

Trigger Type	Example
Orchestrator Emits Event	`MicroserviceAssemblyCoordinator` completes
Agent Confirms Result	`QAAgent` passes all validations
Human Approval in Studio	User accepts domain model or security scaffold
Time-based Trigger	Auto-advance after successful idle period (optional)

📊 Phase-Aware Observability¶

Metric	Description
`active_phase_distribution`	Breakdown of projects by current lifecycle phase
`avg_time_per_phase`	Duration trends per phase
`blocked_tasks_due_to_phase`	How many tasks were paused due to phase limits

🌐 Studio UI Integration¶

Lifecycle phase is:

Displayed as a vertical timeline on each project
Each phase clickable → shows orchestrator status
Users can trigger phase advancement (if permitted)

The lifecycle phase system gives ConnectSoft orchestration governance, ensuring correct task sequencing, reducing agent overload, and enabling human understanding of a project’s journey. It is the backbone of autonomous software generation at scale.

🔁 Secrets, Configuration, and Tenant-Aware Orchestration¶

This cycle outlines how the orchestration layer in ConnectSoft handles secrets management, configuration injection, and tenant-level isolation. These capabilities ensure that each orchestrated project or microservice:

Uses the correct settings per tenant/environment.
Safely accesses secrets via secure channels.
Avoids configuration leakage or cross-tenant violations.

🔐 Core Concepts¶

Capability	Description
🔑 Secrets Injection	Inject credentials, tokens, and secure settings into templates and pipelines
⚙️ Config Mapping	Populate microservice `appsettings.*.json` from structured config definitions
🧭 Tenant Isolation	All orchestration and agent flows scoped to tenant IDs
🧠 Config Validation	Ensure agents receive only contextually valid settings

🗂️ Configuration Structure¶

Each project has a ProjectConfiguration object structured as:

{
  "tenantId": "tenant-abc",
  "projectId": "proj-123",
  "env": "dev",
  "secrets": {
    "ServiceBusConnectionString": "@vault:sb-dev",
    "OAuthClientSecret": "@vault:auth-secret"
  },
  "variables": {
    "EnvironmentName": "Development",
    "EnableTelemetry": true
  }
}

@vault: indicates secrets are pulled from a tenant-specific Azure Key Vault or equivalent.

🔁 Secrets Injection Flow¶

Orchestrator or agent requests secret token via SecretsManager interface.
Vault integration retrieves actual value securely (e.g., via managed identity).
Secret is injected into:
appsettings.json
DevOps pipeline variable group
Dockerfile ENV variable (if required)
Secrets never appear in logs or task payloads.

🧠 Tenant-Aware Routing¶

Every event, task, and orchestration includes:

tenantId
projectId
traceId

Routing logic ensures:

Tasks are dispatched to agents within the same tenant context.
Secrets/configs are retrieved from tenant-scoped stores.
No template or artifact crosses tenant boundaries.

📘 Example: Agent Receives Tenant Configuration¶

{
  "agentId": "developer-agent",
  "taskType": "ApplyTemplate",
  "tenantId": "tenant-abc",
  "config": {
    "EnableOpenTelemetry": true,
    "ServiceBusConnectionString": "@vault:sb-dev"
  }
}

🔐 Key Vault Integration¶

Feature	Description
Vault per tenant	Each tenant gets isolated Key Vault instance/prefix
Secret reference syntax	`@vault:secret-name`, resolved at runtime
Auditable access	All retrievals logged with `traceId`, `agentId`
Rotation support	Supports secret updates without re-templating

🔁 Configuration Propagation Targets¶

Target	Injected Values
Microservice config files	`appsettings.json`, `.env`, YAML files
CI/CD pipelines	Azure DevOps variable groups or secret variables
Agent inputs	Passed in `taskPayload.config`
Test environments	BDD/environment fixtures

📊 Metrics and Tracking¶

Metric	Description
`secrets_requested_total`	Count of secrets pulled from vault
`config_injection_failures`	Failed config merge/injection attempts
`tenant_task_routing_accuracy`	% of tasks dispatched to correct tenant context
`vault_latency_ms`	Latency of secret resolution requests

🖼️ Studio UI Integration¶

Tenant-scoped environment variables visible per project
Secure secrets never shown; only reference keys
Users can edit non-secret configuration via web UI
Config overrides visible in orchestration previews

This tenant-aware configuration and secrets system ensures every generated service or pipeline remains secure, contextual, and tenant-isolated, while supporting agent autonomy and auditability across environments.

🔁 Orchestration Timeouts, Parallelism, and Scheduling Controls¶

This section describes how the orchestration layer handles execution timing, parallelism, and scheduling strategies for tasks and flows. These controls ensure that ConnectSoft can orchestrate large-scale, multi-agent software generation efficiently, while avoiding resource contention, deadlocks, and long-running failures.

⏱️ Timeout Strategies¶

Each orchestrated task includes configurable timeout metadata:

{
  "taskId": "T7",
  "timeoutSec": 900,
  "retryPolicy": {
    "maxAttempts": 2
  }
}

Timeout Type	Scope	Default Value
Task timeout	Per execution graph node	15 minutes
Agent acknowledgment	After `AgentTaskScheduled`	30 seconds
Human task TTL	For `HumanTaskRequested`	2 hours
Orchestration TTL	Whole orchestration flow	12–24 hours

⏳ Timeout triggers:

TaskStalled
AgentNotAcknowledged
OrchestrationExpired

🔁 Retry + Delay¶

Tasks include backoff strategies:

"retryPolicy": {
  "maxAttempts": 3,
  "initialDelaySec": 30,
  "backoff": "exponential"
}

This helps recover from:

Agent overload
Temporary failures (vault access, repo lock)
CI queue slowness

🔀 Parallelism Model¶

Each orchestrator uses a task scheduling engine to determine:

Which tasks can be executed concurrently (based on DAG)
Maximum in-flight tasks per orchestrator or tenant
Per-agent concurrency limits

🔸 Sample DAG¶

graph TD
  T1 --> T2
  T1 --> T3
  T2 --> T4
  T3 --> T4

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

→ Tasks T2 and T3 run in parallel after T1.

⚙️ Execution Scheduler Parameters¶

Parameter	Description
`maxConcurrentTasks`	Orchestrator-wide throttle (e.g. 5)
`agentConcurrencyLimit`	Per-agent cap (e.g. QAAgent: 3, DevOpsAgent: 2)
`phaseExecutionWindow`	Allowed time window per phase (e.g. 6 hours)
`schedulingStrategy`	FIFO, priority-based, or cost-aware (future extension)

📅 Orchestration Scheduling (Optional)¶

Orchestrators can be:

Scheduled to run at off-peak times
Throttled across tenants to balance resource usage
Triggered only if quotas/costs permit (e.g., Azure budget guardrails)

📊 Monitoring Metrics¶

Metric	Purpose
`avg_task_execution_time`	Overall performance insight
`tasks_executed_in_parallel`	Measures orchestration throughput
`task_timeout_count`	Tracks hanging or slow tasks
`parallelism_utilization_ratio`	Are concurrency limits being saturated?

Time-bound, concurrent, and controlled execution is crucial to ConnectSoft’s orchestration model. With graph-aware parallelism, per-agent limits, and timeout safety nets, the system supports high-throughput, fault-tolerant, and resource-optimized software generation.

🔁 Multi-Project Orchestration – Dependency Trees and Cascading Flows¶

This section explains how the orchestration layer supports multi-project coordination, allowing ConnectSoft to manage project families, shared modules, and cascading orchestration flows across related workspaces. It enables reuse, impact-aware propagation, and orchestrated project-of-projects execution.

🔗 Project Relationship Types¶

Relationship Type	Description
🔄 Parent–Child	A core platform project triggers several extension projects
🔗 Shared Module	A library (e.g., `core-domain`, `auth`) reused across many services
🧱 Layered Projects	Infrastructure → core services → feature modules → UI layers
🪝 Cross-Dependency	One project’s success/failure impacts others

🗂️ Example Structure¶

📦 platform-core (root project)
 ┣ 📦 service-auth
 ┣ 📦 service-orders
 ┗ 📦 ui-backoffice

All children must wait until core finishes.

🧠 Multi-Project Coordinator Roles¶

Capability	Description
🧭 Trigger child orchestrations	Launches orchestrators on dependent projects
🔁 Propagate state changes	Updates downstream projects when parent phase completes
⚠️ Manage blocking errors	Prevents cascading if a shared base fails
📄 Render project trees in Studio	Shows hierarchy and real-time orchestration state

🔁 Trigger Cascades¶

{
  "eventType": "OrchestrationCascadeTriggered",
  "parentProjectId": "core-platform",
  "triggeredChildren": ["service-orders", "service-auth"]
}

Used when:

Parent phase reaches DeliveryCompletePhase
Core template changes
Human confirmation approves rollout

🧩 Dependency Graph Model¶

Each project holds metadata like:

{
  "projectId": "svc-orders",
  "dependsOn": ["platform-core"],
  "triggerOnUpstreamPhase": "AssemblyPhase"
}

Coordinator checks all upstreams have completed phase X
Child orchestration begins automatically or via Studio button

📘 Sample Use Case¶

Updating core domain entities:

platform-core updated with new OrderStatus enum.
Studio triggers partial regeneration of service-orders and ui-backoffice.
Only impacted orchestrators run.
QA phase verifies compatibility.

⚙️ Orchestrator Reuse¶

Child projects often reuse shared orchestrators with different config
Coordinators ensure they receive updated configs, secrets, and phases

📊 Metrics and Observability¶

Metric	Description
`project_dependency_depth`	How many hops exist between root and leaf projects
`cascaded_orchestration_count`	Number of orchestrations triggered by upstreams
`blocked_due_to_upstream`	Projects awaiting parent completion
`multi_project_fail_ratio`	Rate of failed orchestrations in cascaded runs

🖼️ Studio Integration¶

Shows tree or graph view of project relationships
Allows triggering children selectively or in bulk
Visual phase alignment checker

With multi-project orchestration, ConnectSoft supports platform-style SaaS ecosystems, where modular projects influence each other. Coordinators manage flow integrity, prevent premature rollout, and ensure synchronization across domains and lifecycles.

🔁 Finalization, Cleanup, and Delivery Notifications¶

This final orchestration section describes how ConnectSoft wraps up a project’s lifecycle after successful orchestration completion—handling state finalization, delivery artifacts, cleanup operations, and notifications to agents, users, and external systems.

This ensures a project exits automation cleanly, consistently, and transparently, ready for deployment, testing, or handoff.

✅ Finalization Flow¶

sequenceDiagram
  participant Orchestrator
  participant Coordinator
  participant EventBus
  participant Studio
  participant NotificationService

  Orchestrator->>Coordinator: RequestFinalization
  Coordinator->>EventBus: Emit ProjectDeliveryComplete
  EventBus->>Studio: Update project status
  EventBus->>NotificationService: Send delivery alerts
  Orchestrator->>CleanupAgent: Trigger cleanup routines

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

🏁 `ProjectDeliveryComplete` Event¶

{
  "eventType": "ProjectDeliveryComplete",
  "projectId": "proj-xyz",
  "tenantId": "tenant-abc",
  "completedAt": "2025-05-05T17:50:00Z",
  "deliveryArtifacts": [
    "docker://svc-orders:1.0.0",
    "url://devops-pipeline/1234",
    "docs://domain-model.pdf"
  ]
}

📦 Delivery Artifacts¶

Final orchestration output may include:

Artifact Type	Description
🐳 Docker image refs	Built and published container tags
📄 Docs & plans	Generated domain/infra docs, architecture diagrams
🔧 Pipeline links	CI/CD pipelines in DevOps or GitHub Actions
🧪 Test results	QA summaries, specflow, test coverage reports
🗺️ API contracts	OpenAPI, GraphQL, gRPC schemas

These are linked to the orchestration trace and project record.

🧹 Cleanup Tasks¶

Task	Purpose
🗑️ Remove temp artifacts	Delete scaffolding cache or interim code workspaces
🔒 Revoke agent permissions	Unassign temporary permissions/scopes
🧪 Finalize QA test coverage	Lock coverage snapshot for metrics
📦 Snapshot orchestration logs	Archive all logs for audit + metrics

Cleanup is handled by CleanupAgent or system orchestrator.

📣 Delivery Notifications¶

Channel	Message Type
Studio UI	Banner: “Project X delivered successfully”
Email	Summary report and delivery links
Webhook	For downstream CI/CD triggers
Slack / Teams	Project owner or team notification

🧠 Supports:

Branding per tenant
Role-based subscription (e.g., QA only)

🔐 Final Lock State¶

After delivery:

Project enters read-only state unless explicitly reopened
Manual or agent-triggered re-entry requires admin approval
Studio disables editing in UI but allows viewing artifacts

📊 Final Metrics Emitted¶

Metric Name	Purpose
`project_delivery_duration_ms`	Total time from project creation to completion
`project_retry_count`	Number of task retries across entire execution
`delivery_artifacts_count`	Number of publishable outputs generated
`delivery_success_rate`	Aggregated across all orchestrated projects

🖼️ Studio Integration¶

“Delivery Summary” page per project
Timeline of phases, orchestrators, task results
Downloadable ZIP export of artifacts (configurable)
Option to clone project or use as template

The ProjectDeliveryComplete phase ensures a consistent, governed conclusion to the orchestration lifecycle. With traceable delivery artifacts, cleanup logic, role-based notifications, and final state transitions, ConnectSoft guarantees that every orchestrated solution is production-ready, auditable, and repeatable.

🔁 Orchestration Domain¶

🧭 Purpose of the Orchestration Domain¶

🧩 Role in the Platform¶

🔄 Core Activities Orchestrated¶

📡 Orchestration Flow Layers¶

🧠 Principles Followed¶

🗂️ Key Components in the Domain¶

📍 How It Interacts with Other Domains¶

📦 Outputs of This Domain¶

🧭 Domain Model & Aggregates¶

🧩 Core Aggregates¶

1. ProjectOrchestrationAggregate¶

🧱 Entity: OrchestrationTask¶

🕸️ Value Object: ExecutionGraph¶

Sample JSON Shape¶

🧠 Supporting Models¶

🧩 Domain Events¶

🛡️ Invariants and Policies¶

🔁 Aggregate Behaviors¶

🧭 Key Use Cases¶

🔑 Primary Orchestration Use Cases¶

1. New Project Initialization¶

2. Microservice Assembly¶

3. CI/CD Pipeline Setup¶

4. Infrastructure Provisioning¶

5. Security & Identity Orchestration¶

6. Testing & Validation Flow¶

🧠 Special Orchestration Conditions¶

🔄 Cross-Cycle Coordination¶

🔁 Bounded Contexts and Subdomains¶

🧩 Top-Level Bounded Contexts¶

🔷 1. ExecutionPlanning Context¶

🔷 2. LifecycleControl Context¶

🔷 3. AgentTaskDispatch Context¶

🔷 4. EventTriggerRouting Context¶

🔷 5. CoordinationCore Context¶

🎯 Boundary Diagram¶

🚫 Anti-Patterns Avoided¶

🧩 Future Contexts (Pluggable)¶

🔁 Trigger Sources and Event Routing¶

🚦 Primary Trigger Sources¶

📡 Event Routing Pipeline¶

🧩 Event Handling Interface¶

📘 Examples of Event-Orchestrator Pairs¶

🔄 Chaining Events into New Triggers¶

🔐 Idempotency & Deduplication¶

🧠 Scheduled Orchestration (Timer-Based Triggers)¶

🎛️ Studio-Initiated Manual Triggers¶

📊 Monitoring Trigger Activity¶

🔁 ProjectBootstrapOrchestrator – Design and Flow¶

🚀 When It’s Triggered¶

🧩 Primary Responsibilities¶

🔁 Execution Flow¶

🧠 ExecutionGraph Example¶

🔄 Phase Advancement¶

🔐 Security & Control¶

🧩 Supporting Contracts¶

📊 Observability & Telemetry¶

🔁 Recovery Behavior¶

🔁 MicroserviceAssemblyCoordinator – Flow, Graph, and Agent Sequencing¶

🚀 When It’s Triggered¶

🧩 Responsibilities¶

🔁 ExecutionGraph Example¶

📦 Applied Templates (Sample)¶

🤖 Involved Agents¶

🔐 Input Validation¶

🔁 Result: Event Emission¶

💥 Failure Handling¶

🔎 Traceability¶

🧠 Orchestration Design Patterns Used¶

🔁 TestingPlanOrchestrator – Coordinating Quality Assurance Flows¶

🚀 Trigger Points¶

🧩 Responsibilities¶

🔁 ExecutionGraph Sample¶

🧠 Supported Test Types¶

📦 Applied Templates (Optional)¶

📄 Validation Output Example¶

🔁 Failure Scenarios¶

🧑‍⚖️ Human-Driven QA (Optional)¶

📊 Observability & KPIs¶

1. `ProjectOrchestrationAggregate`¶

🧱 Entity: `OrchestrationTask`¶

🕸️ Value Object: `ExecutionGraph`¶