Back
AnthropicClaude API
You can now set a budget on a Claude Managed Agents session: a hard cap on the session's spend, priced at…
AI summary
Written by AI from the official notes. Check them for exact details.Claude Managed Agents now allow budget setting, advisor integration, inference location control, and skill loading from GitHub.
- Set a budget for Claude Managed Agents sessions to control spending.
- Add an advisor model for strategic guidance during sessions.
- Control model inference location for data residency compliance.
- Load skills from a GitHub repository for enhanced functionality.
Why it matters: Users managing Claude Managed Agents should care to optimize costs and improve session capabilities.
Full release notes4 changes
- You can now set a budget on a Claude Managed Agents session: a hard cap on the session's spend, priced at public list rates. A session that reaches its budget pauses with the
budget_reachedstop reason instead of starting new model requests; changing or removing the budget resumes it. Deployments accept the same budget and apply it to each session they start. See Session budgets. - You can now give a Claude Managed Agents session an advisor: a model at least as capable as the agent's own that the session's primary thread can consult mid-turn for strategic guidance. Configure it as a
{"type": "advisor"}entry in the agent's multiagent roster, naming themodelto consult. See Give the session an advisor. - You can now control where model inference runs for a Claude Managed Agents agent. Set
inference_geoinside themodelobject when you create the agent, or override it for a single session. See Data residency for the available geos and pricing. - Claude Managed Agents sessions can now load skills from a GitHub repository. When a session mounts a repository, any skills in its root
.claude/skillsdirectory are discovered automatically at session start and available to the agent for that session.