The AgentGuard47 server provides read-only access to agent trace data, guard alerts, usage metrics, and cost breakdowns for the AgentGuard runtime monitoring system.

• Query trace summaries (query_traces): Search and paginate through trace summaries, filterable by service name and time range, returning metadata like trace ID, event/error counts, duration, and cost.

• Get full trace details (get_trace): Retrieve the complete event tree for a specific trace ID, including all spans, tool calls, LLM calls, guard triggers, and errors.

• Get trace decisions (get_trace_decisions): Extract normalized decision events (proposals, overrides, approvals, bindings) from a trace — useful for auditing human-in-the-loop workflows.

• Get alerts (get_alerts): Fetch recent guard alerts such as loop detections and budget overruns, optionally filtered by time.

• Check usage quota (get_usage): View current event quota consumption versus plan limits, including retention period and plan details.

• Get cost breakdown (get_costs): Retrieve the current month's cost breakdown by model, total spend, and estimated savings from guard interventions.

• Budget health check (check_budget): Run a quick pass/fail assessment combining usage quota and cost data to determine if operations are within safe limits.

Provides runtime guards for CrewAI agents, including loop, retry, and budget limits via optional integration extra.

Integrates runtime guards with LangChain agents to enforce budgets, loops, and retry limits via optional extra.

Adds runtime control to LangGraph agents, including hard budget caps and loop detection via optional integration extra.

Auto-patches OpenAI SDK to trace and enforce budget limits on chat completions, stopping overspend in-process.