Claude Platform Enhancements for Managed Agents
Anthropic's Claude Platform has introduced several enhancements to its Managed Agents service. New features include budget controls for agent sessions to cap spending, advisory models for mid-turn strategic guidance, and configurable inference geolocations for data residency. Additionally, agents can now load skills directly from GitHub repositories, improving modularity and development workflow for complex agent deployments.
- →Set budget limits for Claude Managed Agents sessions
- →Integrate advisor models for mid-turn strategic guidance
- →Control inference location for Claude Managed Agents
- →Load skills from GitHub repositories for agents
Features (4) ›
- Set budget limits for Claude Managed Agents sessions
You can now set a hard cap on spending for a Claude Managed Agents session. Sessions reaching their budget will pause, and can be resumed by changing or removing the budget. Deployments can apply a budget to all sessions they start.
- Integrate advisor models for mid-turn strategic guidance
Claude Managed Agents sessions can now consult an advisor model for strategic guidance during a session. This advisor, which must be at least as capable as the agent's own model, can be configured as a 'type': 'advisor' entry in the agent's roster.
- Control inference location for Claude Managed Agents
Inference geolocation can now be controlled for Claude Managed Agents. This can be set when creating an agent via 'inference_geo' in the 'model' object, or overridden for individual sessions, affecting data residency and pricing.
- Load skills from GitHub repositories for agents
Claude Managed Agents sessions can now load skills directly from a GitHub repository. When a repository is mounted, skills located in the root '.claude/skills' directory are automatically discovered and made available to the agent for that session.
https://platform.claude.com/docs/en/release-notes/overview
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