Delegates heavy, repetitive, and verifiable tasks like PDF extraction, code analysis, and log processing to a local LLM to reduce token consumption for frontier AI models, while keeping decision-making with the main AI.
Enables hybrid agentic coding by delegating token-heavy implementation, editing, and test-debug loops to local open-source models while frontier cloud models handle architecture and review, reducing premium API token usage and keeping code private.
Routes code generation tasks between local models and Claude Cloud, optimizing cost by handling simple tasks locally and reserving cloud thinking for complex tasks.
