Monitor token usage, latency, cost, and success rate across all your agents and workflows in real time. Drill into distributed traces to understand exactly what happened.
Every execution is automatically instrumented. Metrics, traces, and logs are captured without any SDK changes or configuration.
Charts for operations, token usage, latency, cost, success rate, and model usage. Filterable by time range and individual agent.
Drill into traces to find bottlenecks, compare token costs across models, and surface failing patterns before they become incidents.
A unified dashboard tracks operations, token usage, latency, cost, and success rate over time. Filter by any time range, from the last 5 minutes to 30 days and drill down to a single agent.
Every agent run produces a full distributed trace broken into spans: LLM completions, tool calls, and subagent invocations. Identify where time is spent, which tools are slow, and exactly how many tokens each step consumed.
Aggregate stats, inspect individual traces, and filter for failures, all without leaving the CLI.
# Aggregate stats across all agents$ daita operations stats --period 24hExecutions: 1,482 • Avg latency: 3.1s • Errors: 0.4%Tokens in: 2.1M • Tokens out: 640K • Cost: $4.21# Filter by agent and look for failures$ daita operations stats --agent data-processor --status failed6 failed executions in the last 24hMost common error: tool.execute timeout (4×)# Inspect a specific execution trace$ daita traces view exec_7f3a9bagent.run ████████████████ 4.2sllm.complete ████████ 2.4s • 1,240 toktool.execute ████ 1.3s • query_dbllm.complete ████ 1.1s • 480 tok
Start monitoring in minutes. No instrumentation required.