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🧠 Solution Architect Agent Specification

🎯 Purpose

The Solution Architect Agent is the technical blueprinting expert in the ConnectSoft AI Software Factory.
Its core mission is to translate system-level architecture designs from the Enterprise Architect Agent into detailed, modular, actionable solution blueprints — ready for direct development by microservices, APIs, event-driven flows, and cloud infrastructure.

The Solution Architect Agent ensures that each bounded context, service cluster, and integration flow:

  • Is clearly defined, technically feasible, and scalable.
  • Adheres to ConnectSoft’s Clean Architecture, DDD, and Cloud-Native solution patterns.
  • Aligns micro-level technical designs with macro-level enterprise architecture blueprints.
  • Prepares the domain for autonomous implementation by specialized downstream agents (e.g., Microservice Developers, API Designers, Event Modelers).

🚀 In short:
The Solution Architect Agent bridges the gap between system architecture strategy and service/API/DB-level concrete solution realization.

🏛️ Position in the ConnectSoft Factory

flowchart TD
    VisionArchitectAgent --> VisionDocument
    VisionDocument --> EnterpriseArchitectAgent
    EnterpriseArchitectAgent --> SystemArchitectureBlueprint
    SystemArchitectureBlueprint --> SolutionArchitectAgent
    SolutionArchitectAgent --> ServiceBlueprints
    SolutionArchitectAgent --> APIDesigns
    SolutionArchitectAgent --> EventModels
    SolutionArchitectAgent --> DataModels
Hold "Alt" / "Option" to enable pan & zoom

  • Input:
    Receives a System Architecture Blueprint — clean modular decomposition from the Enterprise Architect Agent.

  • Output:
    Produces Service Design Blueprints, Use Case Models, Entity Models, Initial API Skeletons, and Domain-to-Implementation Mappings.

🏷️ Core Outcomes and Value

  • ✅ Creates microservice service models, API designs, integration maps based on bounded contexts.
  • ✅ Ensures that services are autonomous, cohesive, and loosely coupled.
  • ✅ Ensures domain models are correctly interpreted into rich entities, aggregates, repositories.
  • ✅ Ensures solution outputs are clean, compliant, testable, and observable by default.
  • ✅ Enables full automation of development generation flows.

📣 Example Mission Statements

"Given a bounded context 'Billing' in a healthcare SaaS platform, generate the full microservice blueprint for handling invoices, payments, refunds, including API surface, internal domain entities, event publication models, observability layers."

"For a 'Collaborative Document Editing' domain, decompose into services and flows: session management, document sharding, concurrency resolution, event sourcing setup, and API contracts for web and mobile clients."

🛠️ Strategic Importance

Without the Solution Architect Agent:

  • System Architecture would remain too abstract for autonomous development.
  • Services would risk unclear responsibilities, tight coupling, and poor observability.
  • APIs and event models would emerge chaotically without clean contracts or integration maps.
  • Domain models could drift away from business meaning during implementation.

With the Solution Architect Agent:

  • ConnectSoft achieves industrial-scale production of high-quality solutions.
  • Microservices, APIs, Events, and Data Models are production-ready immediately after blueprinting.
  • Architectural integrity is preserved all the way to final product deployments.

🏛️ Scope of Influence

The Solution Architect Agent operates at the solution level,
focusing on translating enterprise blueprints into cohesive, modular, technically concrete designs for:

  • Microservices
  • APIs
  • Internal service communications
  • Domain models and aggregates
  • Data access patterns
  • Internal event flows

It acts as the main decomposer and technical map builder for engineering streams inside each bounded context.

📋 Areas of Influence

🏗️ 1. Service Design and Decomposition

Area Description
Microservice Modeling Decomposes each bounded context into one or more domain-aligned microservices, ensuring each service has clear responsibility, minimal coupling, and business-aligned boundaries.
API Surface Blueprinting Defines REST/gRPC APIs per service, including resource naming, method structures, request/response contracts.
Internal Service Responsibilities Maps internal logic (e.g., application services, domain services) to clean architectural layers.
Service-to-Service Contracts Models how services interact — whether synchronous (API), asynchronous (events), or hybrid.

🏗️ 2. Domain Model Structuring

Area Description
Entities and Aggregates Modeling Defines domain entities, aggregates, value objects, and domain services based on bounded contexts.
Repository and Specification Patterns Maps entity persistence using DDD-compliant repository interfaces and specifications (query models).
Use Case (Application Service) Definitions Outlines core use cases that orchestrate aggregates inside application layers (e.g., "Create Invoice", "Approve Refund").

🏗️ 3. Event-Driven Integration Planning

Area Description
Domain Event Emission Plans Defines which business actions produce domain events.
Integration Event Contracts Specifies event schemas for service decoupling across bounded contexts (e.g., Billing → Notifications).
Choreography/Orchestration Mapping Marks points where sagas, workflows, or event-driven collaborations are needed.

🏗️ 4. Data Architecture Alignment

Area Description
Persistence Technology Mapping Selects data storage options per service (e.g., SQL DB, NoSQL, event store) aligned with ConnectSoft patterns.
Data Ownership and Isolation Planning Models per-service databases, anti-corruption layers, and cross-context data views responsibly.
Read/Write Model Separation (CQRS) Identifies domains where CQRS should be introduced for query scalability.

🏗️ 5. Observability and Resilience Planning

Area Description
Telemetry Injection Points Marks tracing, metrics, logging points for each service interaction and major use case flow.
Resiliency Patterns Designs retries, circuit breakers, bulkheads, and fallback mechanisms at the solution level.
Health Check and SLA Models Prepares service-level health check definitions and sets baselines for availability and performance SLAs.

🏗️ 6. Cross-Agent Enablement

Area Description
API Designer Agent Enablement Prepares service endpoint blueprints ready for detailed API contract modeling.
Event-Driven Architect Agent Enablement Structures event models to hand off for choreography, orchestration, saga modeling.
Data Architect Agent Enablement Provides service-level database models for optimization, security hardening, and data governance layering.

📈 Scope Summary Table

Area Key Focus
Service Design Microservice blueprints, API decomposition
Domain Modeling Entities, aggregates, repositories, application services
Event-Driven Planning Domain/integration event contracts, choreography points
Data Architecture Storage selection, ownership, isolation models
Observability/Resilience Telemetry planning, resiliency patterns
Cross-Agent Outputs Enabling API, Event-Driven, and Data Architect agents

🔥 Without the Solution Architect Agent

Risk Impact
No detailed service decomposition Teams would face ambiguity; fragile service boundaries
Weak API and event contracts High risk of downstream integration failures
Missing observability/resiliency hooks Harder to diagnose, recover, and scale in production
Domain model drift Business intent would be lost between vision and implementation

📋 Core Responsibilities

The Solution Architect Agent owns the technical decomposition and concrete solution planning needed to autonomously move from high-level system architecture to service-level, API-level, and entity-level executable blueprints.

It ensures that the resulting technical design:

  • Aligns with enterprise blueprints
  • Supports clean modularization
  • Enables event-driven communication
  • Ensures high testability, scalability, and observability
  • Readies the system for downstream autonomous code generation by other specialized agents

🏗️ Primary Responsibilities

1. Service Decomposition

Responsibility Description
Bounded Context to Service Mapping Break down each bounded context into cleanly separated, autonomous service candidates.
Microservice Blueprinting Define internal service layers: Application Layer, Domain Layer, Infrastructure Layer.
Service Responsibilities Table For every service: business capabilities, APIs, events, storage needs.

2. API Surface Definition

Responsibility Description
Initial API Skeletons Define resource naming, API grouping, request/response structures, pagination, filtering, status codes at the service level.
Contract Hints for API Agent Provide enough structure for the API Designer Agent to generate OpenAPI, gRPC, or GraphQL contracts later.

3. Domain Model Structuring

Responsibility Description
Entity and Aggregate Identification Identify core entities and aggregates per service.
Value Objects and Domain Services Recognize reusable value types and domain-driven operations that do not belong to an entity.
Repository Interface Design Blueprint repository interfaces abstracting data storage from domain logic.

4. Event-Driven Communication Modeling

Responsibility Description
Domain Event Identification Define business events emitted by services.
Integration Event Mapping Define cross-context integration event contracts and responsibilities.
Choreography vs Orchestration Decision Points Indicate when simple event-driven flows vs saga orchestrators are appropriate.

5. Data Architecture Preparation

Responsibility Description
Database-per-Service Models Plan separate data stores for each service whenever possible, preserving autonomy.
Data Model Decomposition Sketch basic schema entities or collections aligned with service boundaries.
Storage Strategy Alignment Recommend SQL, NoSQL, Blob, Event Stores based on service characteristics.

6. Observability and Resilience Design

Responsibility Description
Telemetry Hooks Blueprint Map where to inject distributed traces, custom metrics, structured logs across services.
Circuit Breakers, Retry Policies Define key resiliency points (APIs, event consumers) needing patterns like retries, bulkheads, timeouts.
Service Health Check Planning Blueprint readiness, liveness, and health check endpoints for Kubernetes, service meshes, and monitoring platforms.

7. Governance and Output Preparation

Responsibility Description
Solution Blueprint Assembly Deliver a structured, modular solution blueprint document (Markdown, JSON) ready for agent-driven or manual development.
Traceability Metadata Every output tied to system trace IDs, project IDs, vision lineage.
Emission of SolutionBlueprintCreated Event Structured event triggering the next wave of detailed design or development agent activities.

📈 Responsibility Summary Table

Area Deliverables
Service Decomposition Microservice candidates, service maps
API Modeling Initial API surfaces per service
Domain Models Entity/aggregate maps, repositories, services
Events and Integration Domain/integration event models
Data Architecture Storage strategies, schema hints
Observability and Resilience Telemetry maps, resiliency patterns
Outputs and Governance Solution blueprint documents, event emissions

📥 Core Inputs

To reason accurately and produce production-grade Solution Blueprints,
the Solution Architect Agent consumes structured upstream artifacts, ensuring:

  • Full business and technical context alignment
  • Accurate domain decomposition
  • Traceable architecture lineage from vision to solution

Each input is validated for completeness and integrity at session start.

📋 Inputs Overview

Input Source Description
System Architecture Blueprint Primary structured input received from the Enterprise Architect Agent. Contains bounded context maps, microservice clusters, domain decomposition, deployment mappings, and compliance layers.
Business Objectives and KPIs Business success metrics inherited from the Vision Document, required to prioritize solution scalability, compliance, and resilience strategies.
Bounded Context Definitions Specific bounded contexts (e.g., Billing, Customer Management) with high-level domain scopes and capabilities.
Domain Event Catalog List of business events, their sources, and consumers, providing critical information for event-driven solution design.
Initial Service Interaction Maps Diagrams or models showing how services are expected to collaborate at a macro level (e.g., REST, async events, API Gateway exposures).
Non-Functional Requirements (NFRs) - Performance targets (e.g., API response under 200ms)
- Availability goals (e.g., 99.9%)
- Scalability expectations (e.g., global multi-region support)
- Compliance requirements (e.g., GDPR, HIPAA adherence)
- Security constraints (e.g., OAuth2 authentication, encrypted APIs)
Observability Requirements Baseline telemetry, health checks, and distributed tracing expectations embedded by the Enterprise Architect Agent.
Edition Strategy (optional) If the system supports multiple SaaS editions (e.g., Basic, Pro, Enterprise), special decomposition or feature-flagging strategies are required.

🧠 Semantic Memory and Knowledge Base Retrieval

In addition to explicit inputs,
the Solution Architect Agent also retrieves augmented knowledge from long-term memory:

Knowledge Type Use
Previous Successful Service Decompositions Provides reusable decomposition patterns for similar domains.
API Design Playbooks Informs standard API surface modeling practices (e.g., REST resource naming, versioning strategies).
Event Design Patterns Guides domain event, integration event, and event choreography design best practices.
Repository and CQRS Patterns Aligns data access modeling with scalable architectural principles.

📦 Attachments and Artifacts Expected

Artifact Purpose
system-architecture-blueprint.md Core input for service, API, domain decomposition.
bounded-context-map.mmd Contextual visual map for service alignment.
domain-events-catalog.json Event models informing event-driven flows.
nfr-requirements.yaml Explicit non-functional requirements baseline.
compliance-matrix.json Compliance constraints to embed at solution level.

🔍 Validation of Input Artifacts

At session start, the Solution Architect Agent validates that:

  • System Architecture Blueprint is available and traceable by trace ID.
  • Bounded Contexts are identified and mapped to at least one service candidate.
  • Domain Events are available for event-driven solution modeling.
  • NFRs and Compliance fields are populated (mandatory for critical domains).
  • Versioning Metadata is present on all incoming artifacts.

If any critical input is missing,
the agent emits a MissingInputDetected event and awaits correction before proceeding.

📈 Inputs Summary Table

Input Purpose
System Architecture Blueprint Structural foundation for solution decomposition
Bounded Context Definitions Boundaries for clean service design
Domain Event Catalog Basis for event-driven modeling
NFRs Shape scalability, resilience, and observability designs
Business Objectives Prioritize solution scalability, cost optimization, security needs
Compliance Constraints Embed necessary governance early
Observability Expectations Guarantee production-grade monitoring readiness
Semantic Memory Retrieve validated patterns and best practices

📤 Core Outputs

The Solution Architect Agent produces detailed, modular, production-grade solution artifacts
that translate system architecture vision into executable service, API, domain, and data designs.

All outputs are structured, machine-readable, versioned, and traceable,
ready for consumption by downstream agents like:

  • API Designer Agent
  • Event-Driven Architect Agent
  • Microservice Implementation Agents
  • Data Architect Agent
  • DevOps/Deployment Agents

📋 Key Output Artifacts

🏗️ 1. Solution Blueprint Document

Format Markdown + JSON + YAML
Required Sections - ## Solution Overview: Provides a high-level summary of the solution.
- ## Service Decomposition: Details the breakdown of the services within the system.
- ## Service-to-Bounded Context Mapping: Maps services to their corresponding bounded contexts, ensuring clear domain boundaries.
- ## API Surface Models: Defines the public API surface of the system, including endpoints and request-response models.
- ## Domain Entity and Aggregate Structures: Details the domain entities, their relationships, and the aggregates within each bounded context.
- ## Domain Event Mapping: Maps and defines the domain events, their sources, and their consumers across the system.
- ## Data Storage Plans: Describes the data storage strategies, including databases, caching, and data access patterns.
- ## Observability and Resiliency Strategies: Provides the monitoring, logging, and resiliency strategies for the system.
- ## Compliance and Security Embedding: Ensures that compliance and security considerations are integrated into the solution design.
- ## Risk and Decision Logs: Documents key decisions and risks identified during the design process, along with mitigation strategies.
- ## Artifact Traceability Metadata: Includes metadata related to artifact traceability, such as versioning, build IDs, and deployment information.

🏗️ 2. Service Decomposition Maps

Format Mermaid.js or PlantUML diagrams
Purpose Visual blueprint of services, APIs, events, and communication channels. It helps to illustrate the system's modular design and the interactions between services.
Expected Elements - Services and boundaries: Define the microservices and their respective boundaries.
- APIs or interfaces: List the public APIs or interfaces through which services communicate.
- Event-driven links: Show the relationships between services through events, indicating an event-driven architecture.
- Storage allocations: Represent the data storage strategies for each service (e.g., SQL, NoSQL, blob storage).
- Synchronous vs asynchronous interactions: Differentiate between synchronous communication (e.g., REST API calls) and asynchronous communication (e.g., event-driven systems).

🏗️ 3. API Surface Skeletons

Format JSON or YAML
Description For each service, define the preliminary API surface including the following:
- Endpoints: Define the URLs for each service’s available resources.
- HTTP Methods: Specify the HTTP methods used (e.g., GET, POST, PUT, DELETE).
- Resource Naming: Ensure consistent and meaningful names for resources (e.g., /users, /orders).
- Request/Response Schema Hints: Provide initial guidelines for the request and response payload structures.
- API Versioning Strategy: Define the strategy for versioning the API (e.g., path-based versioning like /v1/ or header-based versioning).
- Authentication Notes: Specify the authentication methods used (e.g., OAuth2, API Key, MTLS).

🏗️ 4. Domain Models Blueprint

Format JSON + Mermaid ClassDiagram
Description The Domain Model Blueprint defines the core entities, value objects, and relationships within the system. It includes the following:
- Entity names, attributes, relationships: Define the entities and their attributes, along with the relationships between entities.
- Aggregate root identification: Identify the aggregate roots in the model to enforce consistency and transaction boundaries.
- Value objects: Specify value objects that represent immutable attributes or concepts within the domain.
- Domain service hints: Provide guidance on the domain services that encapsulate business logic that doesn't naturally fit within entities or value objects.
- Repository interface placeholders: Include repository interfaces for data access, such as IOrderRepository or ICustomerRepository, to abstract data operations.

🏗️ 5. Event Communication Plans

Format Mermaid.js sequence diagrams + JSON
Expected Content The Event Communication Plan outlines how events are produced, consumed, and managed across the system. It includes the following:
- Domain event sources and consumers: Identify event sources (e.g., microservices, domain entities) and consumers (e.g., other services, message handlers) in the event-driven system.
- Event schemas (basic): Provide the basic structure of the event data (e.g., event name, event payload, metadata) to standardize event format across services.
- Topics or brokers allocation: Define the topics or message brokers (e.g., Kafka, RabbitMQ) where events are published and subscribed.
- Event versioning hints: Provide guidance on event versioning, ensuring backward compatibility and preventing breaking changes in event consumers.

🏗️ 6. Resiliency and Observability Annotations

Format Embedded in Solution Blueprint
Content The Observability and Resilience Plans are embedded in the Solution Blueprint and include the following:
- Tracing points (OpenTelemetry spans): Identify critical points in the system for distributed tracing using OpenTelemetry spans to track the flow of requests and responses.
- Metrics injection points: Define locations in the system where metrics should be injected to capture key performance indicators (KPIs), such as response time, throughput, and error rates.
- Critical circuit breaker / fallback zones: Map out circuit breakers and fallback mechanisms to handle failures in critical areas, ensuring the system can gracefully degrade and maintain availability.
- Retry policies mapping: Outline the retry strategies for temporary failures, specifying the conditions under which retries should be attempted and how they should be handled (e.g., exponential backoff).
- Health check endpoint plans: Define health check endpoints to verify the system’s availability and readiness, including liveness, readiness, and database connection checks.

🛠️ Emitted Events

The following is an example of the SolutionBlueprintCreated event payload template:

{
  "event": "SolutionBlueprintCreated",
  "projectId": "connectsoft-platform-2025",
  "systemArchitectureTraceId": "sysarch-abc123",
  "solutionBlueprintUrl": "https://artifacts.connectsoft.dev/projects/.../solution-blueprint.md",
  "timestamp": "2025-04-30T09:45:12Z",
  "traceId": "solarch-agent-exec-8231-xyz",
  "emittedBy": "SolutionArchitectAgent"
}

Explanation:

  • event: The name of the event being emitted (e.g., SolutionBlueprintCreated).
  • projectId: The unique identifier for the project related to the solution blueprint (e.g., connectsoft-platform-2025).
  • systemArchitectureTraceId: The trace ID for tracking the architecture’s evolution and any dependencies during its creation.
  • solutionBlueprintUrl: The URL pointing to the solution blueprint document that was generated.
  • timestamp: The timestamp when the event was emitted, formatted in ISO 8601.
  • traceId: A unique trace identifier to track this event through the system for observability.
  • emittedBy: The agent that emitted the event (e.g., SolutionArchitectAgent).

📈 Outputs Summary Table

Output Format Purpose
Solution Blueprint Document Markdown/JSON Full structured solution design
Service Decomposition Maps Mermaid.js Visualize service, API, event interactions
API Surface Skeletons JSON/YAML Prepare for API Designer Agent
Domain Models Blueprint JSON/Mermaid Entity, aggregate, repository structure
Event Communication Plans Mermaid.js/JSON Event flow planning
Observability/Resiliency Plan Embedded Ready services for production-grade reliability
Emitted Events JSON Trigger downstream agents

🛡️ Output Governance

Rule Enforcement
Traceability Metadata Every artifact must carry trace_id, project_id, vision_id.
Versioning Each output snapshot includes a version stamp and change log.
Compliance Alignment Sensitive domains (e.g., healthcare, finance) must show security and compliance annotations.
Observability by Default Tracing and metrics mapping required for every service output.

📚 Knowledge Base

The Solution Architect Agent operates atop a robust, versioned, and constantly evolving ConnectSoft internal knowledge base, allowing it to:

  • Produce consistent and standardized solution designs
  • Accelerate architectural decisions using proven patterns
  • Prevent rework by reusing validated service blueprints, domain models, and integration patterns
  • Embed observability, security, and compliance from day one

Its knowledge base includes both static architectural assets and dynamic semantic memory driven by prior executions.

📋 Core Knowledge Categories

🏗️ 1. Solution Architecture Templates

Knowledge Description
Microservice Blueprint Templates Prescriptive templates for Clean Architecture services — layering, port-adapter structure, ownership of APIs and events
Service Responsibility Patterns Guides for decomposing business capabilities into modular, cohesive services
API Modeling Blueprints Naming conventions, HTTP methods, RESTful best practices, pagination, filtering, versioning
Observability Standards Where and how to inject metrics, logs, traces across service layers

🧩 2. Domain-Driven Design (DDD) Playbooks

Knowledge Description
Entity and Aggregate Modeling Guides How to identify and model rich domain entities and their invariants
Repository Pattern Templates Interfaces, specifications, and persistence abstraction strategies
Application Service Layer Best Practices Structuring use cases that orchestrate aggregate behaviors
Anemic vs Rich Models Decision Flow Criteria to determine when domain logic lives inside entities vs services

📡 3. Event-Driven Integration Patterns

Knowledge Description
Event Naming Conventions DomainEvent: XCreated, IntegrationEvent: YChanged
Event Versioning Strategy Major/minor versioning schema; payload evolution best practices
Choreography vs Orchestration Decision Trees Heuristics for when to use pub/sub vs orchestrators
ConnectSoft Event Schema Registry Canonical internal schemas and field naming guidelines

☁️ 4. Cloud-Native Design Knowledge

Knowledge Description
Service-to-Storage Mappings Rules of thumb for selecting SQL, NoSQL, Blob, or Event Store per service type
Kubernetes Service Topologies Typical layouts, internal vs external services, ingress routing patterns
Observability Baselines Minimum metrics and traces per service — latency, throughput, error rate, etc.
CI/CD Readiness Hints How to design solutions that are pipeline-ready (modular, testable, containerized)

🔁 5. Semantic Memory Retrieval

The agent queries vectorized memory stores to retrieve past validated outputs and architectural patterns, such as:

Memory Content Usage
Past Solution Blueprints For similar domains (e.g., “Healthcare Billing”, “Subscription Management”)
Reusable Service Models E.g., Notification Service, Audit Logging Service, Outbox Pattern Template
API Examples and Variants Retrieve variations of similar API designs for consistency
Observed Failure Cases Avoid past anti-patterns, e.g., tight service coupling, unversioned event models

These are retrieved using trace similarity, domain tags, and NFR profile proximity.

🛡️ Governance and Validation Rules

Rule Description
Versioned Templates All reusable templates are versioned, tagged, and maintained in the ConnectSoft Artifact Catalog
Memory Read Traceability All retrieved artifacts include original project context, reasoning justification, and prior output quality rating
Trust Scoring Only outputs marked as production-grade or governance-approved may be reused without human review

🧠 Internal Plugins & Skillpacks Accessed

Plugin Capability
ConnectSoft.Skills.DDDModeler Entity and aggregate modeling
ConnectSoft.Skills.EventDesign Event flow generation
ConnectSoft.Skills.RestApiHints REST surface generation and annotation
ConnectSoft.Memory.PriorSolutionQuery Retrieve blueprints based on tag/domain/NFR similarity

🔄 Internal Execution Flow

The Solution Architect Agent follows a structured, deterministic, and modular pipeline that transforms high-level architecture into detailed solution blueprints.
It operates using modular Semantic Kernel skills, governed validation phases, and event-driven task progression.

Each execution is:

  • Traceable via OpenTelemetry
  • Retryable at the skill level
  • Self-validating before emitting final outputs

📋 Step-by-Step Process

Step Description
1. Input Validation Ensure presence and integrity of:
- System Architecture Blueprint
- Domain Events Catalog
- NFRs (Non-Functional Requirements) and compliance constraints
- Observability hooks
2. Semantic Memory Retrieval Load similar past solutions, domain-aligned patterns, reusable services, or failures to avoid to inform current design decisions and reduce potential rework.
3. Bounded Context Processing For each bounded context:
- Decompose into one or more services
- Assign responsibilities for each service
- Map APIs, domains, data, and events to the service
4. Service Blueprint Generation - Structure each service using Clean Architecture layers
- Define application services, domain models, and repository needs
- Generate API surface skeletons for communication
5. Domain Model Structuring - Identify aggregates, entities, and value objects
- Define domain services and specifications
- Plan persistence abstraction for data handling
6. API Design Planning - Create route map for service endpoints
- Assign HTTP methods (GET, POST, PUT, DELETE)
- Draft request/response schema hints
- Define authentication boundaries (OAuth2, API keys, etc.)
7. Event Model Generation - Assign domain and integration events to services
- Build communication flow diagrams to map event producers and consumers
- Tag producers and consumers for clarity
8. Data Strategy and Isolation - Recommend storage types (SQL, NoSQL, Blob, EventStore) based on service requirements
- Design per-service schema sketches for data storage
- Embed anti-corruption layers if needed for data isolation
9. Observability and Resilience Mapping - Place telemetry spans and define metrics for service monitoring
- Define retry policies, fallback strategies, and health check endpoints for service resilience
10. Output Assembly - Compile the Solution Blueprint document
- Serialize diagrams and metadata
- Attach trace information to ensure observability and debugging capabilities
11. Self-Validation - Check for incomplete fields in the blueprint
- Retry failed skills from previous steps
- Validate diagrams, schema, and trace links for correctness
12. Event Emission - Emit the SolutionBlueprintCreated event
- Publish to Artifact Storage for traceability
- Trigger downstream agents (e.g., API, Event, Data) for further processing

🧭 Process Flow Diagram

flowchart TD
    A[Start Session] --> B[Validate Inputs]
    B --> C[Retrieve Semantic Memory]
    C --> D[Process Bounded Contexts]
    D --> E[Generate Service Blueprints]
    E --> F[Model Domain Entities]
    F --> G[Plan API Surfaces]
    G --> H[Design Event Flows]
    H --> I[Map Data Architecture]
    I --> J[Add Observability/Resilience]
    J --> K[Assemble Solution Blueprint]
    K --> L[Self-Validate Outputs]
    L --> M[Emit SolutionBlueprintCreated]
    M --> N[Publish Artifacts & Telemetry]
Hold "Alt" / "Option" to enable pan & zoom

🔁 Retry and Resilience

Failure Point Recovery Action
Incomplete API or service model Retry ServiceModelBuilderSkill
Diagram render error Retry diagram generation with fallback layout
Inconsistent entity-model relationship Trigger DomainValidatorSkill with fix hint
Compliance gap Re-run SecurityComplianceEmbedderSkill

🧩 Workflow Metadata and Tracing

  • Every execution step emits:
    • step_name
    • start_time, end_time
    • status
    • trace_id
  • Every service blueprint, API skeleton, event contract, and model map is tagged with:
    • bounded_context
    • service_name
    • agent_version
    • execution_hash

📌 Summary

The Solution Architect Agent’s flow is:

  • Compositional: step-by-step skill execution
  • Recoverable: modular retry logic
  • Traceable: full observability via telemetry and metadata
  • Extensible: downstream-ready for handoff to specialized design or implementation agents

🛠️ Core Skills and Semantic Kernel Functions

The Solution Architect Agent is powered by a rich composition of modular skills, each implemented as a Semantic Kernel Function or skill chain.
These skills enable:

  • Decomposition of system architecture into service blueprints
  • Domain modeling
  • API and event design
  • Compliance-aware, observability-first solution realization

📋 Primary Skills

Skill Name Description
🔹 Input & Validation
InputValidatorSkill Validates presence of all required upstream inputs and attachments.
SemanticMemoryRetrievalSkill Pulls similar prior blueprints, patterns, and reusable service models from the memory for reference.
🔹 Domain and Service Decomposition
BoundedContextProcessorSkill Breaks down bounded contexts into service candidates, identifying clear domain boundaries.
ServiceModelBuilderSkill Generates full Clean Architecture-based blueprint for each service, ensuring modularity and scalability.
ServiceResponsibilityClassifierSkill Maps domain responsibilities to services and flags overlaps to avoid redundant or conflicting service responsibilities.
🔹 API Design and Exposure
ApiSurfacePlannerSkill Plans REST/gRPC/GraphQL endpoint groups, route patterns, and authentication hints for service exposure.
ApiNamingConventionSkill Ensures consistency in resource naming, HTTP verbs, and API versioning to maintain standardization across services.
🔹 Domain Modeling
EntityAggregateIdentifierSkill Detects and classifies domain entities, aggregates, and value objects based on business logic.
DomainServiceGeneratorSkill Extracts stateless domain logic and defines reusable domain services to centralize business rules.
RepositoryPatternEmitterSkill Generates repository interfaces with query-by-specification hints for data access and domain model interaction.
🔹 Event Modeling
EventModelBuilderSkill Defines domain and integration events, including producers, consumers, and event payload structure.
EventChoreographyMapperSkill Designs pub/sub or saga orchestration boundaries and interaction sequences to manage complex workflows.
🔹 Data Architecture Planning
DataStoreSelectorSkill Recommends SQL, NoSQL, Event Store, or Blob storage based on access patterns and service requirements.
SchemaSketcherSkill Generates high-level schema or collection structures per service, laying the foundation for data modeling.
🔹 Observability and Resilience
ObservabilityMapSkill Injects tracing, metrics, and logs into all service blueprints, ensuring robust monitoring and visibility.
ResiliencyPatternPlannerSkill Maps retry policies, circuit breakers, and fallback strategies for handling fault tolerance and service reliability.
HealthCheckEmitterSkill Generates readiness, liveness, and health probes for Kubernetes or Service Mesh deployment.
🔹 Output and Governance
SolutionBlueprintAssemblerSkill Compiles the final solution blueprint document with all services, APIs, domain models, and diagrams for the entire system.
SchemaValidatorSkill Ensures JSON, YAML, and Markdown schemas match ConnectSoft blueprint definitions for consistency.
EventEmitterSkill Emits the SolutionBlueprintCreated event with artifact metadata and traceability information.

🔹 Input & Validation

Skill Name Description
InputValidatorSkill Validates presence of all required upstream inputs and attachments.
SemanticMemoryRetrievalSkill Pulls similar prior blueprints, patterns, reusable service models.

🔹 Domain and Service Decomposition

Skill Name Description
BoundedContextProcessorSkill Breaks down bounded contexts into service candidates.
ServiceModelBuilderSkill Generates full Clean Architecture-based blueprint for each service.
ServiceResponsibilityClassifierSkill Maps domain responsibilities to services, flags overlap.

🔹 API Design and Exposure

Skill Name Description
ApiSurfacePlannerSkill Plans REST/gRPC/GraphQL endpoint groups, route patterns, auth hints.
ApiNamingConventionSkill Ensures consistency in resource naming, verbs, versioning.

🔹 Domain Modeling

Skill Name Description
EntityAggregateIdentifierSkill Detects and classifies domain entities, aggregates, and value objects.
DomainServiceGeneratorSkill Extracts stateless domain logic and defines reusable domain services.
RepositoryPatternEmitterSkill Generates repository interfaces with query-by-specification hints.

🔹 Event Modeling

Skill Name Description
EventModelBuilderSkill Defines domain and integration events, producers/consumers, event payload structure.
EventChoreographyMapperSkill Designs pub/sub or saga orchestration boundaries and interaction sequences.

🔹 Data Architecture Planning

Skill Name Description
DataStoreSelectorSkill Recommends SQL, NoSQL, Event Store, or Blob based on access patterns.
SchemaSketcherSkill Generates high-level schema or collection structures per service.

🔹 Observability and Resilience

Skill Name Description
ObservabilityMapSkill Injects tracing, metrics, logs into all service blueprints.
ResiliencyPatternPlannerSkill Maps retry policies, circuit breakers, fallback strategies.
HealthCheckEmitterSkill Blueprint readiness/liveness/health probes for Kubernetes/Service Mesh.

🔹 Output and Governance

Skill Name Description
SolutionBlueprintAssemblerSkill Compiles final solution document with all services, APIs, domain models, diagrams.
SchemaValidatorSkill Ensures JSON/YAML/Markdown schemas match ConnectSoft blueprints.
EventEmitterSkill Emits SolutionBlueprintCreated event with artifact metadata and traceability info.

🧭 Skill Composition Flow

flowchart TD
    InputValidator --> SemanticMemoryRetrieval
    SemanticMemoryRetrieval --> BoundedContextProcessor
    BoundedContextProcessor --> ServiceModelBuilder
    ServiceModelBuilder --> DomainModeler
    DomainModeler --> ApiSurfacePlanner
    ApiSurfacePlanner --> EventModelBuilder
    EventModelBuilder --> DataStoreSelector
    DataStoreSelector --> ObservabilityMap
    ObservabilityMap --> SolutionBlueprintAssembler
    SolutionBlueprintAssembler --> SchemaValidator
    SchemaValidator --> EventEmitter
Hold "Alt" / "Option" to enable pan & zoom

🔁 Retry and Fallback Behavior

Each skill is designed to be:

  • Atomic: operates in a focused, stateless fashion
  • Retryable: can re-run in isolation on partial or failed execution
  • Traceable: logs span and result metadata to OpenTelemetry-compatible traces

🧠 Example:
If ApiSurfacePlannerSkill fails due to insufficient input, the agent re-evaluates ServiceModelBuilderSkill and resumes from there — without starting over.

🧩 ConnectSoft SkillPacks Used

SkillPack Skills Included
ConnectSoft.Skills.CleanArchitecture.Core Service, repository, use case, and layering design
ConnectSoft.Skills.ApiSurface RESTful design, versioning, verbs
ConnectSoft.Skills.DDDModeling Entity-aggregate-recognition, service splitting
ConnectSoft.Skills.Observability OpenTelemetry injection templates
ConnectSoft.Skills.EventDriven Event contract and flow modeling
ConnectSoft.Skills.ComplianceAware GDPR/HIPAA design patterns, audit trace injection

✅ Skill Design Principles

Principle Application
Single Responsibility Each skill handles exactly one logical task
Retryable & Isolated No global state; all inputs/outputs versioned
Composable Skills chain to form reusable reasoning pipelines
Governed Skill outputs validated via schema before publishing
Auditable Every skill emits structured trace/log data during execution

🛠️ Technology Stack

The Solution Architect Agent is built on a cloud-native, AI-augmented architecture designed to support high-throughput, composable, observability-first architectural reasoning.

It leverages the ConnectSoft platform ecosystem, including Semantic Kernel-based skills, internal knowledge services, and event-driven orchestration frameworks.

📋 Core Technology Components

1. 🧠 Semantic Reasoning Engine

Component Purpose
Semantic Kernel (.NET) Core execution engine for skill orchestration, context tracking, and reasoning flow control
Azure OpenAI Service (GPT-4) Semantic reasoning, natural language processing, domain interpretation
ConnectSoft SkillPacks Modular, composable skill libraries for DDD, API modeling, observability, etc.

2. ☁️ Cloud-Native Platform Integration

Component Purpose
Azure Blob Storage Persistent storage for solution blueprints, diagrams, and metadata
Azure Event Grid Event-driven architecture coordination (SolutionBlueprintCreated, ValidationFailed, etc.)
Azure Table Storage Lightweight structured metadata store for trace logs, validation outcomes
Azure Functions (optional) Serverless hooks for triggering downstream automation based on solution artifacts

3. 🔁 Long-Term Memory Infrastructure

Component Purpose
Vector Store (e.g., Pinecone / Azure Cognitive Search Vector Index) Semantic embedding-based retrieval of prior solution patterns, service models, domain designs
ConnectSoft Artifact Catalog API Accesses previously published blueprints, diagrams, ADRs, event maps for reference and reuse
Semantic Similarity Plugins Skillpack plugin for retrieving top-N nearest artifacts based on NFRs, domains, and responsibilities

4. 📡 Observability Stack

Component Purpose
OpenTelemetry (.NET SDK) Distributed tracing across skill execution steps, retry paths, validation chains
Azure Application Insights Log ingestion, trace visualization, error alerts, performance analytics
ConnectSoft Observability Dashboard Centralized view of Solution Architect Agent runs, retry summaries, success/failure heatmaps

5. 🧩 Collaboration Interfaces

Component Purpose
ConnectSoft Event Schema Registry Schema validation for emitted events (e.g., SolutionBlueprintCreated)
Artifact Storage Webhooks Notify downstream agents of new versioned solution blueprints
API Contract Export Plugins Enables early OpenAPI or gRPC export generation for API Designer Agent

🔐 Security and Governance

Feature Implementation
Tokenized Access Auth tokens enforced when writing to artifact or memory APIs
Trace Metadata Injection Every artifact and event is tagged with trace_id, project_id, vision_id
Audit Trails All skill executions logged to structured telemetry with outcome and latency metadata

📦 Technology Summary Table

Area Stack
Skill Execution Semantic Kernel (.NET), ConnectSoft SkillPacks
Reasoning Azure OpenAI (GPT), Context Augmentation Plugins
Persistence Azure Blob, Table Storage, Artifact Catalog
Eventing Azure Event Grid, ConnectSoft Event Schemas
Observability OpenTelemetry, Azure App Insights, ConnectSoft Dashboards
Memory Vector DBs (Pinecone / Azure Vector), Semantic Indexer
Integration API Contract Export, Event Subscription, Secure Webhooks

🧠 Why This Stack?

  • ✅ Modular & Composable → Supports clean skill chains
  • ✅ Traceable & Observable → Full OpenTelemetry integration
  • ✅ Reusable → Prior artifacts retrieved via vector memory and Artifact API
  • ✅ Scalable → Azure-native elastic infrastructure
  • ✅ Secure & Governed → Metadata-rich artifact and event lifecycle

📝 System Prompt (Agent Bootstrapping)

The System Prompt is the initial instructional payload used to activate the Solution Architect Agent.
It defines the agent’s mission, architectural scope, quality expectations, and deliverable formats.

This prompt ensures the agent starts with clear direction, ConnectSoft-aligned objectives, and governed architectural behavior.

📋 Full System Prompt (ConnectSoft Format)

You are the **Solution Architect Agent** within the **ConnectSoft AI Software Factory**.

Your role is to transform a validated **System Architecture Blueprint** into a fully detailed, modular, autonomous **Solution Blueprint** —  
decomposing each bounded context into production-ready **microservices**, **APIs**, **domain models**, and **event-driven integrations**.

### 🧠 Your outputs must be:
- Aligned with **Clean Architecture**, **DDD**, **Event-Driven Design**, and **Cloud-Native principles**
- Observability-ready: every service must emit telemetry, traces, and support health monitoring
- Security-first and compliance-aware (e.g., embed OAuth2, GDPR considerations)
- Versioned, traceable, and structured using ConnectSoft’s artifact schema and event contracts

### 📋 You must:
1. Validate input artifacts (architecture blueprint, domain events, NFRs, compliance requirements)
2. Retrieve and reuse relevant prior solutions or reusable patterns from ConnectSoft’s semantic memory
3. Decompose each bounded context into modular service candidates
4. For each service:
   - Define its APIs (REST/gRPC), responsibilities, and domain model
   - Assign required data storage type, schema sketch, and observability/resilience patterns
   - Link emitted/consumed domain and integration events
5. Generate:
   - `solution-blueprint.md`
   - API skeletons
   - Domain model diagram
   - Event choreography diagrams
   - Data strategy annotations
6. Emit a `SolutionBlueprintCreated` event with traceability metadata
7. Log all reasoning spans, retries, validations using OpenTelemetry

### 📦 Output Format Requirements:
- Structured Markdown + JSON/YAML documents
- All artifacts must include `trace_id`, `project_id`, `vision_id`, and `bounded_context` tag
- Visuals must be generated in **Mermaid** or exportable PlantUML

### ❗ Constraints:
- All services must be loosely coupled and single-responsibility
- APIs must be contract-first
- Diagrams must render successfully
- Security and telemetry must be embedded in every service definition
- Avoid duplication across bounded contexts

🛡️ Prompt Governance and Enforcement

Principle Purpose
Explicit Outcomes Defines concrete outputs and structures expected
Embedded Best Practices Forces alignment with Clean Architecture, Event-Driven, and ConnectSoft blueprinting contracts
Compliance Guardrails Guides the agent to never skip telemetry, security, or governance layers
Traceability Built-In Ensures every output is auditable, observable, and version-linked

✅ Prompt Behavior Summary

  • ✅ Sets clear execution goals
  • ✅ Aligns tone, outputs, and constraints to ConnectSoft platform expectations
  • ✅ Prepares the agent for autonomous, production-grade blueprinting
  • ✅ Enables modular validation and retry of each reasoning step

📝 Input Prompt Template

The Input Prompt Template defines the standard structure of instructions the Solution Architect Agent receives when it begins a new assignment.

This template ensures:

  • Every required input is structured, tagged, and validated
  • Inputs are traceable to the Vision and System Blueprint layers
  • Agent behavior remains consistent and composable across all projects

📋 Structured Template Format

## Assignment: Solution Blueprint Generation

### 📜 Project Metadata
- **Trace ID**: {trace_id}
- **Project ID**: {project_id}
- **Vision ID**: {vision_id}
- **Bounded Context Scope**: {billing, scheduling, crm, etc.}
- **Target Output Format**: Markdown + JSON + Mermaid

### 🧭 Source Artifacts
- **System Architecture Blueprint URL**: {https://...}
- **Domain Event Catalog URL**: {https://...}
- **Context Map Diagram**: {mermaid_code or image_url}
- **Compliance Matrix**: {json/yaml file}
- **Observability Requirements**: {inline or URL}
- **NFR Summary**:
  - Latency: {e.g. < 200ms for API}
  - Availability: {e.g. 99.9%}
  - Scaling: {e.g. support 10K concurrent users}
  - Security: {e.g. OAuth2, data encryption, audit logs}

### 🔍 Semantic Hints
- **Preferred API Exposure**: REST | gRPC | GraphQL
- **Reusability Candidates**: {e.g. NotificationService, OutboxPattern}
- **Known Constraints**: {e.g. shared infrastructure, required languages}

### 📦 Attachments
- [x] `system-architecture-blueprint.md`
- [x] `domain-events-catalog.json`
- [x] `nfr-requirements.yaml`
- [x] `observability-baseline.yaml`
- [x] `context-map.mmd`

📈 Input Validation Checklist

Field Required Validation
trace_id, project_id, vision_id ✅ Must be unique and traceable
System Architecture Blueprint ✅ Artifact must exist and be schema-valid
Bounded Context Scope ✅ Must be one or more named contexts
Domain Events Catalog ✅ Must include event name, payload structure, source/consumer
NFRs and Compliance Matrix ✅ Required for all production systems
Context Map ✅ Mermaid or image acceptable
Semantic Hints Optional Used to guide event modeling, service boundaries

🛠️ Field Purpose Summary

Section Role in Execution
Project Metadata Traceability, governance, execution routing
Source Artifacts Primary architecture foundation for decomposition
NFRs Guides resilience, observability, performance planning
Semantic Hints Optional pattern boosters (e.g., reuse logging service)
Attachments Required structured artifacts that inform blueprint generation

🧠 Prompt Design Philosophy

  • ✅ Structured → Ensures deterministic parsing and validation
  • ✅ Composable → Supports chained bounded context processing
  • ✅ Traceable → Every prompt maps to vision and architecture lineage
  • ✅ Extendable → Easy to evolve with additional fields (e.g., personas, SLIs, region requirements)

📤 Output Expectations

The Solution Architect Agent produces structured, governed, downstream-ready Solution Blueprint Artifacts that serve as the technical foundation for implementation.

Every output must be:

  • Machine-consumable by other agents
  • Traceable to project/vision/system blueprint
  • Structured and versioned
  • Aligned to ConnectSoft architectural contracts and CI/CD automation

📋 Core Output Artifacts

1. 📘 solution-blueprint.md

Section Description
## Overview Scope of bounded contexts processed and agent trace metadata
## Service Decomposition Table of services with descriptions, responsibilities, and domain alignment
## Domain Models Entity/Aggregate definitions with diagrams
## API Surface Summary Preliminary API endpoint structures (per service)
## Event Flow Definitions Domain/integration events, producers, consumers, and choreography details
## Storage and Isolation Plans Recommended data store types, schema hints, anti-corruption layer flags
## Observability Hooks Tracing, metrics, health checks
## Security and Compliance Embedding OAuth2 flows, audit trails, encryption requirements
## Risk and Decision Log Key tradeoffs, assumptions, constraints
## Output Metadata trace_id, vision_id, project_id, execution_hash

2. 🧩 Structured API Surface Skeletons

Format YAML/JSON
Content The Structured API Surface Skeletons document includes the following:
- Service → Endpoint map: A mapping of each service to its corresponding API endpoints.
- HTTP verbs and route patterns: Specifies the HTTP methods (GET, POST, PUT, DELETE) and the route patterns for each endpoint.
- Response shape hints: Provides initial guidelines for the structure and format of the response body, including field names and data types.
- Versioning and security annotations: Defines the versioning strategy (e.g., path-based or header-based) and security annotations (e.g., OAuth2, API key) for each endpoint.

3. 🧠 Domain Model Diagrams

Format Mermaid ClassDiagram
Purpose Visually model entities, aggregates, value objects, and relationships between them. This diagram helps define the structure of domain models and their interactions in the system.
Example The following is an example of a Mermaid class diagram representing the Invoice and Payment entities and their relationship: 
classDiagram
  class Invoice {
    +Guid Id
    +decimal Amount
    +DateTime IssuedAt
  }
  class Payment {
    +Guid Id
    +Guid InvoiceId
    +string Status
  }
  Invoice --> Payment : paidBy
Hold "Alt" / "Option" to enable pan & zoom

Explanation:

  • Invoice: Represents the Invoice entity with its attributes: Id, Amount, and IssuedAt.
  • Payment: Represents the Payment entity with its attributes: Id, InvoiceId, and Status.
  • The relationship between Invoice and Payment is shown with an arrow (Invoice --> Payment : paidBy), indicating that Payments are linked to Invoices through the InvoiceId.

4. 📡 Event Choreography Maps

Format Mermaid Sequence Diagrams
Includes The Mermaid Sequence Diagrams include the following:
- Event flow between services: Illustrates how events flow between different services in the system.
- Async vs sync handoffs: Shows the distinction between synchronous and asynchronous interactions between services.
- Saga or orchestrator triggers: Represents the Saga pattern or orchestrator that manages complex workflows and ensures consistency across services.
- Compensating flows (where applicable): Defines the compensating actions or rollbacks that occur when a process fails or needs to be reversed.

5. 📦 Emitted Event: SolutionBlueprintCreated

Format JSON
Payload Example The following is an example of the SolutionBlueprintCreated event payload: 
{
  "event": "SolutionBlueprintCreated",
  "projectId": "connectsoft-cxp-2025",
  "boundedContexts": ["Billing", "Scheduling"],
  "blueprintUrl": "https://artifacts.connectsoft.dev/.../solution-blueprint.md",
  "timestamp": "2025-04-30T14:07:45Z",
  "traceId": "solarch-exec-4285-xyz",
  "emittedBy": "SolutionArchitectAgent"
}

Explanation:

  • event: The name of the event (e.g., SolutionBlueprintCreated).
  • projectId: The unique identifier for the project associated with the solution blueprint (e.g., connectsoft-cxp-2025).
  • boundedContexts: A list of bounded contexts (e.g., Billing, Scheduling) relevant to the blueprint.
  • blueprintUrl: The URL pointing to the location of the solution blueprint document.
  • timestamp: The timestamp of when the event was emitted, formatted in ISO 8601.
  • traceId: A unique identifier for tracing this event in a distributed system, useful for debugging and observability.
  • emittedBy: The agent that emitted the event (e.g., SolutionArchitectAgent).

🛡️ Output Validation Rules

Rule Description
Traceability Every file must include metadata: trace_id, project_id, vision_id, bounded_context, execution_hash
Schema Compliance YAML/JSON outputs must pass strict ConnectSoft schema validators
Diagram Render Check Mermaid and PlantUML diagrams must render successfully in CI
Compliance Coverage If compliance constraints exist, architecture must annotate all enforcement points (e.g., PII masking, audit log locations)

📈 Summary Table

Artifact Format Consumer Agents
Solution Blueprint Markdown API Designer, Microservice Agent, DevOps
API Skeletons YAML API Designer Agent
Domain Diagrams Mermaid Implementation Agents
Event Flows Mermaid Event-Driven Architect Agent
Emitted Events JSON Downstream orchestration, dashboards, audit logs

✅ Output Properties

Property Value
✅ Structured Markdown, JSON, YAML, Mermaid
✅ Traceable Metadata + execution linkage
✅ Observability-Ready Telemetry/metrics planned
✅ Contractual Schema-governed; testable in CI
✅ Governed Auditable through ConnectSoft observability dashboards

🧠 Memory Strategy

The Solution Architect Agent utilizes a hybrid memory system, enabling it to:

  • Retain execution state and design context within a session
  • Retrieve, compare, and reuse architectural components across projects

This dual memory structure (short-term + long-term) is essential for scaling autonomous architecture across 3000+ microservices in the ConnectSoft Software Factory.

📥 1. Short-Term Memory (Session Context)

Feature Description
Bounded Context Working Memory Tracks service decomposition, domain models, and event mappings for each context processed in-session
Skill Output Retention Temporarily holds intermediate skill outputs (e.g., API plans, entity definitions, telemetry hooks)
Retry/Validation History Logs which reasoning chains were retried, which corrections succeeded
Diagram Fragments Accumulates class diagrams, choreography flows, and endpoint trees before blueprint assembly
Ephemeral Span Tracking Used to calculate OpenTelemetry-based skill-level spans and reasoning trace granularity

🧩 Short-term memory is cleared after solution artifact generation, but its trace log is persisted for audits.

📦 2. Long-Term Memory (Semantic Memory)

Type Description
Solution Blueprint Embeddings Vector representations of prior blueprints, tagged by domain, bounded context, NFR profiles, compliance requirements
Reusable Service Templates Cached models of generic services (e.g., Notifications, Auditing, Outbox, Identity) for reuse and adaptation
Domain Model Libraries Embedded structures for common entities and aggregates (e.g., Invoice, Subscription, UserSession)
Event Pattern Catalog Indexed examples of domain and integration events and choreography used in prior projects
Anti-Pattern Memory Stores known problematic models (e.g., tight coupling, incorrect bounded contexts, duplicated aggregates) with auto-exclusion scoring

Memory queries return match scores, annotations, and full reference links for inclusion into new blueprints.

🔁 Memory Query Examples

Query Result
“Event-driven onboarding system with multi-tenant auth” Returns blueprint for IdentityService + UserRegistration aggregate + Domain events
“Subscription billing domain with retries and outbox” Returns PaymentService + Retry logic + Outbox-based IntegrationEvent model
“GDPR compliance in SaaS CRM” Returns compliance annotations, audit logging, masking templates

📡 Memory Infrastructure

Component Purpose
Vector Database (e.g., Pinecone, Azure Cognitive Search) Stores semantic embeddings of blueprints and event maps
ConnectSoft Artifact Metadata Service Maps artifact → trace → project lineage
Semantic Skill Interface MemoryRetrievalSkill used to filter by context tags, NFRs, service capabilities
Governance Enrichment Hooks Score and classify memory hits as reusable, risky, or deprecated

🛡️ Trust and Trace Rules

Enforcement Description
Traceability Every reused memory entry logs its origin project, date, blueprint version, and outcome signal
Read Audit All memory queries are logged with query vector, result set, and use context
Reusable Tag Required Only artifacts marked reusable=true and qualityScore > 0.8 can be auto-adopted
Mutation-Proof Long-term memory entries are immutable; new blueprints are stored as new versions only

🔍 Memory Snapshot During Execution

flowchart TD
    A[Start Bounded Context] --> B[Retrieve Similar Blueprints]
    B --> C[Extract Service + API Models]
    C --> D[Run Skills with Augmented Context]
    D --> E[Store New Memory Snapshot]
    E --> F[Tag with domain + trace + version]
Hold "Alt" / "Option" to enable pan & zoom

✅ Validation and Correction Framework

The Solution Architect Agent includes a robust, self-healing validation engine that:

  • Verifies output completeness, quality, and compliance
  • Identifies structural, semantic, or schema issues
  • Performs modular skill-level retries when output gaps or failures are detected
  • Escalates ambiguous edge cases for human intervention only when needed

📋 Multi-Stage Validation Phases

Phase Description
1. Input Validation Confirms the presence of the following essential components:
- System Architecture Blueprint
- Domain Events Catalog
- NFR/Compliance Metadata
- Trace ID and Project ID for traceability.
2. Intermediate Skill-Level Checks Validates the preconditions and postconditions for each skill:
- Ensures service responsibilities are defined
- Detects missing or undefined domain entities
- Verifies API response schemas are present and complete.
3. Blueprint Assembly Audit Ensures that the blueprint is fully assembled with all sections present and properly structured:
- Validates continuity between service → domain model → API → events → storage.
4. Diagram Integrity Check Validates the correctness of Mermaid or PlantUML renderings:
- Verifies that diagrams are correctly rendered
- Logs any generation failures or malformed models.
5. Schema Compliance Ensures the JSON/YAML outputs comply with ConnectSoft artifact schema definitions, maintaining consistency across all artifacts.
6. Compliance & Observability Enforcement Verifies the inclusion of essential compliance and observability components:
- Authentication requirements
- Encryption notes
- Telemetry hook declarations
- Health checks per service for monitoring system health.

🔁 Modular Retry Flows

Trigger Correction Flow
MissingAPIResponse Re-executes ApiSurfacePlannerSkill with original trace context
OrphanedDomainEntity Triggers DomainModelValidatorSkill → proposes correction via entity-service mapping
DiagramRenderFailure Regenerates diagram from DiagramSynthesisSkill using fallback layout
MissingTraceMetadata Invokes TraceMetadataFixerSkill → injects project/vision/trace metadata into output headers

✅ Retryable skills operate with idempotent logic and cached intermediate memory to avoid redundant reasoning.

🧪 Validation Skill Examples

Skill Purpose
BlueprintCompletenessValidatorSkill Verifies that all blueprint sections are fully populated
EventFlowValidatorSkill Checks that every event has a producer and at least one subscriber
EntityReferenceCheckerSkill Detects missing or unbound entity usages in APIs or persistence
SchemaValidatorSkill Validates structured outputs (YAML/JSON) against ConnectSoft schemas
ObservabilityEmbeddingCheckerSkill Confirms that each service blueprint includes trace and metric hook definitions

📣 Failure and Escalation Events

Event Trigger Use
SolutionValidationFailed Final blueprint fails schema or section completeness checks Logged + shown in dashboards
CorrectionRetryTriggered Retry sequence started for failed skill or output module Emitted to observability system
HumanInterventionRequired After 2+ retries fail or conflict in domain boundary is detected Optional escalation to Architecture Oversight agent or flagged in dashboard

📡 Observability Hooks (During Validation)

Emitted Telemetry Description
skill_retry_count{name} # of times a skill retried during blueprint creation
blueprint_validation_duration_ms Total time spent on validation phase
schema_validation_failures_total Accumulated YAML/JSON failures
compliance_gaps_detected_total Missing security, auth, encryption, or audit hooks

All telemetry is tagged with trace_id, project_id, and bounded_context.

🔍 Flow Diagram: Validation and Retry Logic

flowchart TD
    A[Skill Execution Complete] --> B[Run Skill-Level Validator]
    B --> C{Valid?}
    C -- No --> D[Trigger Retry Flow]
    C -- Yes --> E[Blueprint Assembly]
    E --> F[Run Global Validators]
    F --> G{Pass All Checks?}
    G -- No --> H[Emit SolutionValidationFailed]
    G -- Yes --> I[Emit SolutionBlueprintCreated]
Hold "Alt" / "Option" to enable pan & zoom

🤝 Collaboration Interfaces

The Solution Architect Agent is a core coordinator in the middle of the ConnectSoft multi-agent ecosystem.
It receives system-level architecture from upstream and enables downstream agents by producing detailed, contract-ready artifacts.

Its communication is event-driven, contract-governed, and traceable, ensuring seamless autonomous collaboration.

📡 Upstream Interfaces

Agent Interface
Enterprise Architect Agent
- Listens for SystemArchitectureBlueprintCreated
- Consumes artifact URL, bounded context map, domain event catalog
- Pulls compliance and NFR constraints from blueprint metadata

📦 Downstream Agent Interfaces

Agent Output Consumed
API Designer Agent - Consumes: API Skeletons, Service Decomposition Table
- Builds: OpenAPI specs, security annotations, request/response schemas
- Triggered by: SolutionBlueprintCreated event
Event-Driven Architect Agent - Consumes: Domain Event Plan, Event Choreography Map
- Builds: Event mesh, saga orchestration, pub/sub channel mapping
Data Architect Agent - Consumes: Entity definitions, schema hints, storage mapping
- Builds: Database specs, migrations, retention plans, data governance overlays
Security Architect Agent - Consumes: Compliance matrix, auth method notes, service security annotations
- Finalizes: Zero trust boundaries, encryption policies, threat models
Observability Architect Agent - Consumes: Metric and trace plans, health check mappings
- Builds: OpenTelemetry injection rules, dashboards, alerting contracts

📨 Emitted Event: SolutionBlueprintCreated

{
  "event": "SolutionBlueprintCreated",
  "boundedContexts": ["CRM", "Billing"],
  "blueprintUrl": "https://artifacts.connectsoft.dev/solution/blueprint-crm-billing.md",
  "apiSkeletonsUrl": "https://.../api-skeletons.yaml",
  "eventMapUrl": "https://.../events.mmd",
  "traceId": "solarch-exec-9491",
  "projectId": "connectsoft-saas-2025",
  "emittedBy": "SolutionArchitectAgent",
  "timestamp": "2025-04-30T15:40:00Z"
}

Explanation:

  • event: The name of the event being emitted, in this case, SolutionBlueprintCreated.
  • boundedContexts: A list of the bounded contexts involved in this blueprint (e.g., CRM, Billing).
  • blueprintUrl: The URL to the generated solution blueprint document.
  • apiSkeletonsUrl: A URL to the API skeletons for the services defined in the blueprint.
  • eventMapUrl: A URL to the event map, potentially a Mermaid diagram or similar representation.
  • traceId: A unique identifier to track the event throughout the system for observability and debugging.
  • projectId: The project identifier associated with the blueprint (e.g., connectsoft-saas-2025).
  • emittedBy: The agent that emitted the event, in this case, SolutionArchitectAgent.
  • timestamp: The timestamp when the event was emitted, in ISO 8601 format.

🔄 Artifact Synchronization (via ConnectSoft APIs)

Interface Function
Artifact Storage API Stores blueprints, API files, diagrams, metadata
Schema Registry API Validates that emitted event payloads match the ConnectSoft schema contracts
Event Grid Subscription Other agents subscribe to SolutionBlueprintCreated events and consume corresponding URLs from payload

🧩 Interface Characteristics

Principle Implementation
Choreographed Agent does not invoke others directly. It emits events, and others react (event choreography over orchestration).
Loose Coupling Other agents rely on the blueprint structure, not the process context.
Contract-Based Output artifacts follow agreed schemas: blueprint format, domain entity DSL, API YAML layout.
Version-Aware Each artifact includes version, trace, and change history headers for downstream change control.
Traceable All collaboration logs are tied to trace_id, enabling full lineage visibility from Vision → System → Solution → Implementation.

🔍 Collaboration Flow Diagram

flowchart TD
    EnterpriseArchitectAgent -->|SystemArchitectureBlueprintCreated| SolutionArchitectAgent

    SolutionArchitectAgent -->|SolutionBlueprintCreated| APIDesignerAgent
    SolutionArchitectAgent -->|SolutionBlueprintCreated| EventDrivenArchitectAgent
    SolutionArchitectAgent -->|SolutionBlueprintCreated| DataArchitectAgent
    SolutionArchitectAgent -->|SolutionBlueprintCreated| ObservabilityArchitectAgent
    SolutionArchitectAgent --> ArtifactStorageAPI
Hold "Alt" / "Option" to enable pan & zoom

📡 Observability in Collaboration

  • All emitted events are:
    • Telemetry-traced (emission_time, payload_size, subscriber_ack_count)
    • Schema-validated
    • Stored in ConnectSoft Event Bus Archive for audit
  • Dashboards show:
    • Blueprint → consumer link health
    • Retry signals if subscribers fail to process artifacts

📡 Observability Hooks

The Solution Architect Agent emits structured telemetry and event logs throughout its lifecycle to ensure visibility, traceability, and operational insight across ConnectSoft’s autonomous pipeline.

Observability is a first-class design constraint, not an afterthought.

🔭 Key Observability Metrics

Metric Description
solution_blueprint_generation_duration_ms Total time spent from start to SolutionBlueprintCreated
retry_count_by_skill{name} Retries triggered during skill execution
validation_failure_total Number of failed schema or completeness checks
bounded_contexts_processed_total Count of contexts decomposed in session
artifact_output_size_kb Size of solution blueprint file (for compression/audit tracking)

All metrics are emitted with trace_id, bounded_context, project_id, and agent_version.

🔍 Tracing & Logging

Signal Includes
OpenTelemetry Spans Each skill execution emits start/end, duration, status, trace_id, and context metadata
Structured Logs Include skill name, outcome, input source, blueprint section affected
Execution Hash Deterministic hash of all inputs + skill plan for reproducibility and versioning audit

📊 Dashboards and Audit Trails

View Purpose
AgentOps Live Dashboard Show active/failed sessions, retry paths, downstream subscriber metrics
Blueprint Trace Viewer Drill down from vision → system → solution artifacts with full lineage and performance annotations
Retry & Correction Heatmap Identify which contexts or skill chains have higher failure rates or ambiguity zones

🧍 Human Intervention Hooks

Although the agent is designed to operate autonomously,
there are clear escalation points when ambiguity, conflict, or repeated failure is encountered.

Condition Action
🟠 Repeated Retry Failure Emits HumanInterventionRequired event → flagged in dashboard for Solution Architect manual inspection
🟠 Inconsistent Domain Model Mapping If bounded context appears misaligned or has ambiguous aggregates, agent pauses and flags human override point
🟠 Compliance Conflict Detected For conflicting GDPR vs cross-border event propagation — escalation to legal or governance agents
🟠 Context Overlap When two services show overlapping bounded context responsibilities with unclear ownership

All intervention triggers include links to:

  • Trace logs
  • Partial blueprints
  • Root cause explanations
  • Suggested correction paths

🧠 Conclusion

The Solution Architect Agent is a critical architectural reasoning node in ConnectSoft’s AI Software Factory.
It enables the transition from enterprise vision to execution by:

🎯 Delivering:

  • Fully traceable, modular, versioned Solution Blueprints
  • Detailed Service Designs, API Skeletons, Domain Models, Event Flow Maps
  • Embedded security, observability, and resilience planning
  • Downstream-ready artifacts for API, Event, Data, and DevOps agents

🛠️ Architected To Be:

  • Skill-Oriented: Modular Semantic Kernel functions, composable and retryable
  • Cloud-Native: Output aligned with Kubernetes, serverless, API gateway, and microservices best practices
  • Observability-First: OpenTelemetry-compliant, validated, auditable
  • Compliance-Embedded: Security and regulatory layers integrated from first draft
  • Scalable and Governed: Capable of running 100s of sessions concurrently with full lineage, versioning, and memory recall

✅ Final Artifacts

Output Format
solution-blueprint.md Clean Architecture service decomposition and models
api-skeletons.yaml API surface contracts per service
domain-models.mmd Entity and aggregate relationships
event-flow-sequence.mmd Event-driven service interactions
SolutionBlueprintCreated JSON event to downstream agents