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Architects

For Architects & Platform Engineers

Design and govern multi-agent systems using OSSA's standard architecture patterns.

Architecture Overview

OSSA's Role in Agent Architecture

OSSA provides:

  • Standard Contract: Framework-agnostic agent definition
  • Portability: Move agents across infrastructures
  • Governance: Standard format enables policy enforcement
  • Observability: Consistent monitoring across agents

Design Patterns

Pattern 1: Single Agent

Simple, standalone agent:

apiVersion: ossa/v0.3.x
kind: Agent
metadata:
  name: standalone-agent
spec:
  role: Agent description
  llm: { ... }
  tools: [ ... ]

Pattern 2: Agent Orchestration

Orchestrator coordinates multiple agents:

# Orchestrator Agent
spec:
  role: Coordinate workflow
  tools:
    - type: http
      name: invoke_worker_agent
      endpoint: http://worker-agent:8080/api

See: Integration Patterns

Pattern 3: Agent Mesh

Agents communicate directly:

  • Peer-to-peer communication
  • Event-driven patterns
  • Service mesh integration

Multi-Agent Systems

Architecture Decisions

  1. Orchestration vs. Choreography

    • Orchestration: Central coordinator
    • Choreography: Distributed coordination

  2. Communication Patterns

    • HTTP/gRPC for synchronous
    • Message queues for asynchronous
    • MCP for tool sharing

  3. State Management

    • Stateless agents (recommended)
    • Shared state via external store
    • Event sourcing patterns

Governance & Compliance

Policy Enforcement

OSSA enables:

  • Cost Controls: Declarative cost limits
  • Security Policies: Standard security configuration
  • Compliance: Automated compliance checking
  • Audit Logging: Standard observability

Example: Compliance Agent

spec:
  role: Compliance checking agent
  constraints:
    cost:
      maxCostPerDay: 50.00
  observability:
    logging:
      level: info
      format: json

Infrastructure Planning

Deployment Options

  1. Kubernetes

    • Native K8s resources
    • Service mesh integration
    • Auto-scaling

  2. Serverless

    • AWS Lambda
    • Google Cloud Functions
    • Azure Functions

  3. Container Orchestration

    • Docker Compose
    • Nomad
    • Custom orchestration

Resource Planning

constraints:
  resources:
    cpu: "500m"
    memory: "1Gi"
  performance:
    maxConcurrentRequests: 10

Observability Strategy

Distributed Tracing

observability:
  tracing:
    enabled: true
    exporter: otlp
    endpoint: http://jaeger:4318

Metrics Collection

observability:
  metrics:
    enabled: true
    exporter: prometheus
    endpoint: http://prometheus:9090/metrics

Logging Strategy

observability:
  logging:
    level: info
    format: json

Cost Management

Cost Constraints

constraints:
  cost:
    maxTokensPerDay: 100000
    maxCostPerDay: 10.00
    currency: USD

Cost Optimization Strategies

  1. Model Selection: Use appropriate model for task
  2. Token Limits: Set maxTokens per request
  3. Caching: Cache responses where possible
  4. Batching: Batch requests when possible

Security Architecture

Authentication

tools:
  - type: http
    auth:
      type: bearer
      credentials: API_KEY_SECRET

Network Security

  • Service mesh integration
  • mTLS between agents
  • Network policies
  • API gateways

Scalability Patterns

Horizontal Scaling

  • Stateless agents
  • Load balancing
  • Auto-scaling based on metrics

Vertical Scaling

constraints:
  resources:
    cpu: "2"
    memory: "4Gi"

Related Resources