@cloudkinetix/bmad-enhanced/expansion-packs/ck-llm-agent-dev/templates/llm-architecture-tmpl.md

Cloud-Kinetix enhanced fork of BMAD-METHOD - Breakthrough Method of Agile AI-driven Development with robust versioning and unified validation.

# {{Project Name}} LLM System Architecture

[[LLM: Initial Setup

1. Replace {{Project Name}} with the actual project name
2. Review requirements documents and agent specifications
3. Design for scalability, reliability, and observability
4. Consider multi-agent orchestration if applicable

Output file location: `docs/architecture/llm-architecture.md`]]

## Architecture Overview

[[LLM: Provide high-level overview of the LLM system architecture, including key components and their interactions.]]

````mermaid
graph TB
    subgraph "Client Layer"
        WEB[Web Client]
        MOB[Mobile Client]
        API[API Client]
    end

    subgraph "Gateway Layer"
        GW[API Gateway]
        AUTH[Auth Service]
        RL[Rate Limiter]
    end

    subgraph "LLM Services Layer"
        ORCH[LLM Orchestrator]
        AGENT1[Agent 1]
        AGENT2[Agent 2]
        AGENTN[Agent N]
    end

    subgraph "Infrastructure Layer"
        QUEUE[Message Queue]
        CACHE[Cache Layer]
        VS[Vector Store]
        KG[Knowledge Graph]
    end

    subgraph "Model Layer"
        LLM[LLM Service]
        EMB[Embedding Service]
        SPEC[Specialized Models]
    end

    subgraph "Observability"
        LOG[Logging]
        TRACE[Tracing]
        METRIC[Metrics]
        ALERT[Alerting]
    end

    WEB --> GW
    MOB --> GW
    API --> GW
    GW --> AUTH
    GW --> RL
    RL --> ORCH
    ORCH --> AGENT1
    ORCH --> AGENT2
    ORCH --> AGENTN
    AGENT1 --> LLM
    AGENT2 --> LLM
    AGENTN --> SPEC
    AGENT1 --> VS
    AGENT2 --> KG
    ORCH --> QUEUE
    ORCH --> CACHE
    ORCH --> LOG
    ORCH --> TRACE
    ORCH --> METRIC
    METRIC --> ALERT
```text

## System Components

### Core LLM Services

<<REPEAT: ai_service>>
#### {{Service Name}}
- **Purpose**: {{service-purpose}}
- **Technology**: {{tech-stack}}
- **Scaling Strategy**: {{horizontal/vertical}}
- **Dependencies**: {{service-dependencies}}
- **SLA**: {{availability-target}}

**Key Responsibilities**:
- {{responsibility-1}}
- {{responsibility-2}}
- {{responsibility-3}}

**Resource Requirements**:
- CPU: {{cpu-specs}}
- Memory: {{memory-specs}}
- GPU: {{gpu-specs-if-needed}}
<</REPEAT>>

### Agent Architecture

[[LLM: Detail the architecture for individual LLM agents.]]

#### Agent Design Pattern
- **Pattern**: {{Hub-and-Spoke/Pipeline/Mesh/Hierarchical}}
- **Communication**: {{sync/async/event-driven}}
- **State Management**: {{stateless/stateful-approach}}
- **Coordination**: {{orchestration-method}}

#### Agent Registry
```yaml
agents:
  - id:
      '[object Object]': null
    type:
      '[object Object]': null
    model:
      '[object Object]': null
    endpoints:
      - '{{endpoint-1}}'
      - '{{endpoint-2}}'
    capabilities:
      - '{{capability-1}}'
      - '{{capability-2}}'
    resources:
      maxConcurrency:
        '[object Object]': null
      timeout:
        '[object Object]': null
      retries:
        '[object Object]': null
````

### Model Serving Infrastructure

#### LLM Service Architecture

- **Serving Framework**: {{TorchServe/TensorFlow Serving/Triton}}
- **Model Loading**: {{strategy}}
- **Request Batching**: {{batching-config}}
- **Caching Strategy**: {{cache-layers}}
- **Fallback Models**: {{fallback-config}}

#### Embedding Service

- **Model**: {{embedding-model}}
- **Vector Dimensions**: {{dimensions}}
- **Batch Size**: {{optimal-batch}}
- **Cache TTL**: {{cache-duration}}

### Data Architecture

#### Vector Store

- **Technology**: {{Pinecone/Weaviate/Qdrant/pgvector}}
- **Index Type**: {{index-strategy}}
- **Partitioning**: {{partitioning-strategy}}
- **Replication**: {{replication-factor}}
- **Backup Strategy**: {{backup-approach}}

#### Knowledge Management

- **Knowledge Graph**: {{Neo4j/Neptune/Dgraph}}
- **Document Store**: {{MongoDB/Elasticsearch}}
- **Feature Store**: {{Feast/Tecton}}
- **Data Pipeline**: {{Apache Airflow/Prefect}}

## Multi-Agent Orchestration

[[LLM: If multi-agent system, detail orchestration architecture.]]

### Orchestration Patterns

#### Communication Protocols

- **Message Format**: {{JSON/Protocol Buffers/Avro}}
- **Transport**: {{REST/gRPC/WebSocket/Message Queue}}
- **Discovery**: {{service-discovery-method}}
- **Load Balancing**: {{round-robin/least-conn/weighted}}

#### Workflow Management

````yaml
workflow:
  name:
    '[object Object]': null
  trigger:
    '[object Object]': null
  steps:
    - name:
        '[object Object]': null
      agent:
        '[object Object]': null
      input:
        '[object Object]': null
      output:
        '[object Object]': null
      timeout:
        '[object Object]': null
      onError:
        '[object Object]': null
    - name:
        '[object Object]': null
      parallel:
        - agent:
            '[object Object]': null
        - agent:
            '[object Object]': null
      join:
        '[object Object]': null
```text

### State Management

#### Session State
- **Storage**: {{Redis/DynamoDB/Cosmos}}
- **TTL**: {{session-duration}}
- **Consistency**: {{eventual/strong}}
- **Partitioning**: {{partition-key}}

#### Context Management
- **Context Window**: {{max-tokens}}
- **Compression**: {{strategy}}
- **History Storage**: {{storage-approach}}
- **Retrieval Strategy**: {{retrieval-method}}

## Scalability Design

### Horizontal Scaling

#### Auto-scaling Policies
<<REPEAT: scaling_policy>>
- **Metric**: {{cpu/memory/requests/custom}}
- **Target**: {{threshold}}
- **Min Instances**: {{min}}
- **Max Instances**: {{max}}
- **Cool Down**: {{seconds}}
<</REPEAT>>

#### Load Distribution
- **Load Balancer**: {{ALB/NLB/custom}}
- **Health Checks**: {{endpoint-and-interval}}
- **Session Affinity**: {{enabled/disabled}}
- **Geographic Distribution**: {{regions}}

### Performance Optimization

#### Caching Strategy
- **Response Cache**: {{Redis/Memcached}}
- **Embedding Cache**: {{local/distributed}}
- **Model Cache**: {{gpu-memory-management}}
- **CDN Integration**: {{CloudFront/Fastly}}

#### Request Optimization
- **Batching Window**: {{milliseconds}}
- **Queue Management**: {{priority-queues}}
- **Connection Pooling**: {{config}}
- **Circuit Breakers**: {{thresholds}}

## Security Architecture

### Authentication & Authorization
- **Identity Provider**: {{Auth0/Cognito/Okta}}
- **Token Management**: {{JWT/OAuth2}}
- **API Keys**: {{rotation-policy}}
- **Role-Based Access**: {{RBAC-model}}

### Data Security
- **Encryption at Rest**: {{method}}
- **Encryption in Transit**: {{TLS-version}}
- **Key Management**: {{KMS/Vault}}
- **PII Protection**: {{masking/tokenization}}

### LLM-Specific Security
- **Prompt Injection Prevention**: {{measures}}
- **Output Filtering**: {{content-moderation}}
- **Rate Limiting**: {{per-user/per-ip}}
- **Audit Logging**: {{what-is-logged}}

## Observability Architecture

### Monitoring Stack

#### Metrics Collection
```yaml
metrics:
  - name: ai_request_duration
    type: histogram
    labels:
      - agent
      - model
      - status
    buckets:
      - 0.1
      - 0.5
      - 1
      - 2
      - 5
      - 10
  - name: ai_token_usage
    type: counter
    labels:
      - agent
      - model
      - type
  - name: ai_error_rate
    type: gauge
    labels:
      - agent
      - error_type
````

#### Distributed Tracing

- **Framework**: {{OpenTelemetry/Jaeger}}
- **Sampling Rate**: {{percentage}}
- **Retention**: {{days}}
- **Critical Paths**: {{traced-workflows}}

#### Logging Architecture

- **Log Aggregation**: {{ELK/Splunk/CloudWatch}}
- **Log Levels**: {{structured-logging-schema}}
- **Retention Policy**: {{hot/warm/cold}}
- **Sensitive Data**: {{redaction-rules}}

### Alerting Strategy

<<REPEAT: alert>>

#### {{Alert Name}}

- **Condition**: {{metric-threshold}}
- **Severity**: {{Critical/High/Medium/Low}}
- **Channel**: {{email/slack/pagerduty}}
- **Runbook**: {{link-to-runbook}}
  <</REPEAT>>

## Deployment Architecture

### Container Strategy

- **Container Runtime**: {{Docker/containerd}}
- **Orchestration**: {{Kubernetes/ECS/Cloud Run}}
- **Image Registry**: {{ECR/GCR/ACR}}
- **Base Images**: {{security-hardened}}

### CI/CD Pipeline

```yaml
pipeline:
  stages:
    - name: test
      steps:
        - unit-tests
        - integration-tests
        - prompt-tests
        - safety-tests
    - name: build
      steps:
        - docker-build
        - security-scan
        - push-registry
    - name: deploy
      environments:
        - dev: auto
        - staging: manual
        - production: approval-required
```

## Disaster Recovery

### Backup Strategy

- **Data Backup**: {{frequency-and-retention}}
- **Model Backup**: {{versioning-strategy}}
- **Configuration Backup**: {{git-backed}}
- **Recovery Testing**: {{schedule}}

### Failover Design

- **Primary Region**: {{region-1}}
- **DR Region**: {{region-2}}
- **RTO**: {{recovery-time-objective}}
- **RPO**: {{recovery-point-objective}}
- **Failover Process**: {{manual/automatic}}

## Cost Optimization

### Resource Allocation

- **Compute**: {{instance-types-and-counts}}
- **Storage**: {{storage-tiers}}
- **Network**: {{bandwidth-optimization}}
- **Model Serving**: {{gpu-sharing-strategy}}

### Cost Controls

- **Budget Alerts**: {{thresholds}}
- **Resource Limits**: {{quotas}}
- **Spot Instances**: {{usage-percentage}}
- **Reserved Capacity**: {{commitment}}

## Technology Stack Summary

### Core Technologies

- **Language**: {{primary-language}}
- **Framework**: {{web-framework}}
- **LLM Framework**: {{langchain/llamaindex/custom}}
- **Container**: {{docker/podman}}
- **Orchestration**: {{kubernetes/ecs}}

### LLM/ML Stack

- **LLM Provider**: {{OpenAI/Anthropic/Google/Self-hosted}}
- **Vector DB**: {{choice-and-version}}
- **ML Framework**: {{PyTorch/TensorFlow}}
- **Serving**: {{TorchServe/Triton}}
- **Monitoring**: {{LangSmith/Custom}}

### Infrastructure

- **Cloud Provider**: {{AWS/GCP/Azure}}
- **IaC**: {{Terraform/CloudFormation/Pulumi}}
- **Secrets**: {{Vault/KMS/Secret Manager}}
- **CDN**: {{CloudFront/Fastly/Akamai}}

## Migration and Evolution

### Phase 1: MVP Architecture

- {{mvp-components}}
- {{simplified-architecture}}

### Phase 2: Production Architecture

- {{production-enhancements}}
- {{scalability-additions}}

### Phase 3: Advanced Features

- {{future-capabilities}}
- {{architectural-evolution}}

## Architecture Decision Records

<<REPEAT: adr>>

### ADR-{{number}}: {{Decision Title}}

- **Status**: {{Accepted/Rejected/Superseded}}
- **Context**: {{why-needed}}
- **Decision**: {{what-decided}}
- **Consequences**: {{implications}}
  <</REPEAT>>

## References and Resources

- **Architecture Diagrams**: {{diagram-location}}
- **API Documentation**: {{api-docs}}
- **Runbooks**: {{operations-docs}}
- **Security Policies**: {{security-docs}}