Multi-Agent Coordination

Agent Orchestration

Coordinate multiple specialized agents to accomplish complex goals. Build multi-agent teams that collaborate sequentially, share context, and execute sophisticated workflows.

Works with:
🔷 DSPy
🤖 OpenAI SDK
👥 CrewAI
🔍 Google ADK
💠 Microsoft
🧠 DeepAgents
🐍 Pydantic AI
3-10+
Agents Per Orchestra
4 Types
Execution Strategies
Per Task
Workspace Isolation
<1 Min
Setup Time
Core Capabilities

What Are SuperOptiX Orchestras?

Orchestras coordinate multiple agents to accomplish complex goals through sequential execution. Unlike individual agents working in isolation, orchestras enable true multi-agent collaboration.

Sequential Collaboration

Each agent builds upon the previous agent's output in a coordinated pipeline.

Shared Context

Results from one agent automatically become input for the next agent.

State Management

Workspace directories store intermediate results and artifacts.

Workflow Execution

Complex multi-step processes with task dependencies and priorities.

Sequential Execution

How Orchestras Work

1
Goal Input
2
Task 1 Executes
3
Output → Input
4
Task 2 Executes
5
Final Result
Task Loading

Load definitions from YAML

Dependency Resolution

Determine execution order

Agent Execution

Run assigned agent

Result Passing

Output becomes input

Workspace Storage

Save to workspace

🔄 Execution Strategy Support by Tier

TierExecution StrategyParallel TasksAdvanced Techniques
Oracles & Genies
Sequential only1Basic orchestration
Higher Tiers
Parallel, Mixed, HierarchicalMultipleKubernetes orchestration
Use Cases

Orchestra Examples

Pre-built orchestra patterns for common multi-agent workflows.

Software Development Lifecycle

Complete SDLC workflow from implementation to testing and deployment

Agents:
Developer
DevOps Engineer
QA Engineer
super orchestra run sdlc --goal "Build user auth"

Content Creation Pipeline

Research, write, and polish comprehensive content pieces

Agents:
Researcher
Writer
Editor
super orchestra run content --goal "Create ML guide"

Data Analysis Workflow

Collect, analyze, and generate insights from data

Agents:
Data Collector
Data Analyzer
Report Generator
super orchestra run analysis --goal "Analyze survey"
Configuration

Orchestra Setup

# orchestras/sdlc_orchestra.yaml
metadata:
  name: "Software Development Lifecycle"
  id: "sdlc"
  version: "1.0.0"

orchestra:
  workspace:
    type: local_fs 
    path: "./orchestra_workspaces/sdlc"
  execution:
    strategy: "sequential"
    max_parallel_tasks: 1
    task_timeout_seconds: 300
    enable_metrics: true
    enable_trace: true

agents:
  - developer
  - devops_engineer
  - qa_engineer

Orchestra CLI Commands

$ super orchestra create <name>Create new orchestra from existing agents
$ super orchestra listList all orchestras in project
$ super orchestra run <name> --goal "..."Execute orchestra with specific goal
$ super orchestra run <name> --verboseRun with detailed output
$ super orchestra run <name> --dry-runValidate configuration without running

Best Practices

Agent Preparation

super agent compile --all

Compile all agents first

super agent evaluate <agent>

Evaluate baseline performance

super agent optimize <agent>

Optimize individual agents

Goal Definition

Good: Specific & Actionable

"Build a secure user authentication system with JWT tokens, password hashing, and email verification"

❌ Avoid: Too Vague

"Make a login system"

Task Dependencies

Design logical task dependencies for proper workflow:

# Task 1: No dependencies
gather_requirements
# Task 2: Depends on Task 1
design_architecture
context: ["gather_requirements"]
# Task 3: Depends on Task 2
implement_system
context: ["design_architecture"]

Error Handling

Monitor execution and handle failures:

Run with --verbose for detailed output
Check workspace for partial results
Use --dry-run to validate config
Review task_outputs/ for debugging
Higher Tiers

Advanced Techniques

Available in higher tiers beyond Oracles and Genies

Parallel Execution

Run multiple tasks simultaneously for faster completion.

execution:
  strategy: "parallel"
  max_parallel_tasks: 3

Mixed Strategy

Combine parallel and sequential execution in task groups.

execution:
  strategy: "mixed"
  task_groups: [...]

Kubernetes Orchestration

Scale orchestras with Kubernetes for enterprise workloads.

orchestration_type: "kubernetes"
replicas: 3
resources: cpu: "1000m"

Build Your First Orchestra

Coordinate multiple specialized agents to accomplish complex goals. Start with our step-by-step tutorial.