Agentic Observability MCP
Agent tracing, cost tracking, anomaly detection for LLM agents
Versions
0.1.1latestTools 6
trace_agent_action Log an agent action with metadata for audit trails and debugging. Supports tool calls, LLM requests, decisions, and errors.
track_token_usage Track token usage and cost for an LLM call. Auto-calculates cost from built-in pricing table if per-token costs are not provided.
log_tool_call Log an MCP tool call with performance data including latency, success/failure, and error details.
get_session_summary Get a comprehensive cost and performance summary for an agent session, including token usage, tool call stats, and model breakdown.
detect_anomaly Flag unusual patterns in agent behavior: cost spikes, high error rates, latency issues, infinite loops, and token explosions.
get_cost_report Get cost breakdown across multiple sessions, grouped by model, provider, tool, or session. Supports time range filtering.
Permissions 1
env_vars low