Michael Neale
4741c8c14e
Include full recipe parameter information (key, type, requirement, description, default, options) in the Summon extension's load output. Previously, when an agent used load() to discover or load recipe sources, parameter details were omitted — the agent could only guess parameters from interpolated variable names in the recipe content. This led to unnecessary trial-and-error when invoking recipes via delegate(). Changes: - Add 'parameters' field to Source struct to carry RecipeParameter data - Populate parameters when scanning recipe files and loading subrecipes - Include a '### Parameters' section in to_load_text() with full details - Show parameter summaries in discovery listing (load with no args) Fixes #7288
goose
a local, extensible, open source AI agent that automates engineering tasks
goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.
Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.
Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.
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Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀