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Auto

Intelligently selects the most effective swarm architecture for a given task

Swarm Type: auto (or Auto)

Overview

The Auto swarm type intelligently selects the most effective swarm architecture for a given task based on context analysis and task requirements. This intelligent system evaluates the task description and automatically chooses the optimal swarm type from all available architectures, ensuring maximum efficiency and effectiveness.

Key features:

Intelligent Selection: Automatically chooses the best swarm type for each task
Context Analysis: Analyzes task requirements to make optimal decisions
Adaptive Architecture: Adapts to different types of problems automatically
Zero Configuration: No manual architecture selection required

Use Cases

When unsure about which swarm type to use
General-purpose task automation
Rapid prototyping and experimentation
Simplified API usage for non-experts

API Usage

Selection Logic

The Auto swarm type analyzes various factors to make its selection:

Factor	Consideration
Task Complexity	Simple → Single agent, Complex → Multi-agent
Sequential Dependencies	Dependencies → SequentialWorkflow
Parallel Opportunities	Independent subtasks → ConcurrentWorkflow
Collaboration Needs	Discussion required → GroupChat
Expertise Diversity	Multiple domains → MixtureOfAgents
Management Needs	Oversight required → HierarchicalSwarm
Routing Requirements	Task distribution → MultiAgentRouter

Best Practices

Provide detailed task descriptions for better selection
Use rules parameter to guide selection criteria
Review the selected architecture in response metadata
Ideal for users new to swarm architectures

Since Auto can select any swarm type, it's related to all architectures:

AutoSwarmBuilder - For automatic agent generation
SequentialWorkflow - Often selected for linear tasks
ConcurrentWorkflow - For parallel processing needs
MixtureOfAgents - For diverse expertise requirements

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