- Add isActiveToolState check for Streaming and Thinking states - Allow direct message submission when Goose is actively working - Backend handles message queuing - user can chat while Goose works - Add debug logging to track chat state during submission - Interruption keywords still trigger stop and queue the message This enables users to send messages even when: - Goose is streaming a response - Goose is thinking/processing - A tool call is running (including backgrounded commands with &) The key insight: we don't need to detect specific 'run' commands. Any message sent during active states goes directly to the backend, which already has message queuing capabilities.
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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a little goose humor 🦢
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀