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The autonomy preset selection during onboarding gives new users an explicit control point over agent behavior from the very first setup step, rather than inheriting a default they may not be aware of.
The release substantially expands Goose's provider ecosystem and agent control surface in a single version, adding over a dozen new AI providers alongside foundational agent features like hooks, self-evaluation, and subagent orchestration.
Teams running LiteLLM in multi-pod deployments should note the Redis spend counter fix, while those integrating Gemini or MCP tooling benefit from day-0 model support and corrected JWT auth.
Upgrade to `langchain-core==1.3.0` to gain richer LLM tracing metadata, fix potential SSRF security gaps, and benefit from memory-safe run tree handling — especially important for long-running agentic pipelines.