AgentOps
Developer Tools
Neotask on OpenClaw gives you full observability over every AI agent run — trace what happened, debug why it failed, and fix problems before they affect your users.
- Production AI incidents get resolved faster — your agent pulls complete traces and spans the moment something breaks, so you diagnose root cause in minutes not hours
- Agent performance is monitored continuously — automatically surface slow runs, failed sessions, and unexpected outputs without building custom dashboards
- Debug multi-agent workflows end-to-end — trace every hop across agent handoffs and identify exactly where a complex pipeline went wrong
What You Can Do
The AgentOps integration gives Neotask 6 observability actions across two server variants — a remote Node.js server for trace/span retrieval and a local Python server for session listing and detail views.
Trace Management
`get_trace` — fetch a complete trace by ID, including timing, model calls, and tool invocations
`get_complete_trace` — retrieve the full trace tree with all nested spans for deep inspection
`get_span` — drill into a specific span within a trace for granular timing and payload dataSession Listing
`list_traces` — enumerate recent agent sessions filterable by status, model, and time range
`trace_detail` — pull a detailed breakdown of a specific session including error contextAuthentication
`auth` — authenticate with your AgentOps workspace before querying trace dataEvery action runs autonomously or requires your approval — you decide.
Try Asking
"What traces failed in the last 24 hours? Show me the error messages"
"Pull the complete trace for session abc123 — I need to see every span"
"List all agent sessions from yesterday that took more than 30 seconds"
"Get me the span details for the tool call that timed out in trace xyz789"
"Which sessions had the highest token usage this week?"Pro Tips
Pair AgentOps with your alerting integration so your agent automatically pages you when error rates spike above a threshold
Schedule a daily trace audit: your agent reviews failures from the previous day and summarizes patterns before your morning standup
Use approval gates when pulling large trace payloads — review before storing them in external systems
For multi-agent teams, use AgentOps traces to verify that your orchestration logic is working as designed, not just that individual agents completed
Works Well With
- google-slides - Connect AgentOps to Google Slides with Neotask. Turn AI agent monitoring data into automated presentations for LLM obser...
- microsoft-teams - Connect AgentOps and Microsoft Teams with Neotask to monitor AI agents, get real-time alerts, and collaborate on LLM wor...
- openai-whisper-api - Connect Brevo and Google Slides with Neotask to automatically turn email campaign analytics into polished marketing repo...