Multi-Model Configuration

goose supports several approaches for using different models within a single session, allowing you to optimize for cost, performance, and task specialization. Strategies range from manual or turn-based model selection to dynamic, context-aware switching.

📚 Documentation & Guides

Automatic Multi-Model Switching

Intelligent switching between models based on conversation content, complexity, and tool usage patterns.

Lead/Worker Multi-Model Setup

Automatic switching between models using a lead model for initial turns and a worker model for execution.

Creating Plans Before Working

Manual planning mode that uses a dedicated model to break complex projects into detailed, actionable steps.

Planning Complex Tasks

Uses the Plan feature to transform a complex devcontainer setup into a systematic, executable roadmap.

📝 Featured Blog Posts

Treating LLMs Like Tools in a Toolbox: A Multi-Model Approach to Smarter AI Agents

LLMs are specialized tools, and multi-model approaches create smarter, more efficient AI agents.

LLM Tag Team: Who Plans, Who Executes?

Learn how lead/worker model configuration creates an effective AI tag team, with one model for planning and another for execution.