- TRACE
- SPAN
- LOGIC
- HUMAN
Short answer
How can my AI find where an agent failed?
Your AI uses AgentOps telemetry to pull specific traces and spans that map out the agent's decision path. This lets you see the exact step where a hallucination or loop error happened. You get a clear view of the failure point.
Where errors are found.
Debugging outcomes.
The AI uses telemetry data to pinpoint the root cause of agentic errors.
TRACE
Full execution paths
The AI pulls the entire sequence of events to show you the full path the agent took before it crashed.
SPAN
Granular step analysis
The AI isolates specific sub-tasks to show you which individual function or call caused the error.
LOGIC
Hallucination detection
The AI compares the agent's reasoning against the trace data to find where it drifted from the plan.
HUMAN
Manual fixes needed
The AI identifies logic gaps that require you to rewrite the prompt or adjust the agent's instructions.
The workflow
What your AI does when <the thing arrives>.
The AI acts as your investigator, pulling telemetry to explain why an agentic loop went off the rails.
Retrieve the trace
The AI pulls the full execution history for a specific run to understand the context of the failure.
get_traceInspect specific spans
The AI drills into individual segments of the execution to find the exact moment of failure.
get_spanMap the error path
The AI uses the trace data to reconstruct the sequence of events leading to a hallucination.
get_traceIsolate the fault
The AI identifies the specific span that failed so you can target your fix.
get_span
Try it
Copy these to start.
Paste these into your chat to begin debugging.
Starting points
Replace the trace or span IDs with the actual IDs from your AgentOps dashboard.
AgentOps Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_OCln8CM8I7G7rNCo6QKijZPwPeMGY7W7gj6qBqEG/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AgentOps capabilities are ready to use.
{
"mcpServers": {
"agentops-agent-telemetry-and-monitoring-mcp": {
"url": "https://edge.vinkius.com/vk_preview_OCln8CM8I7G7rNCo6QKijZPwPeMGY7W7gj6qBqEG/mcp"
}
}
}Get the trace for run_id_8821 and tell me why the agent failed.
Look at the spans for this trace to find where the hallucination happened.
Check the span for the 'tool_call' in trace_abc_123 to see why it returned an error.
Analyze the execution trace for the last loop failure and explain the logic error.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect AgentOps once, then ask.
Link your AgentOps account to Vinkius. Your credentials stay encrypted on our side, and you can immediately start asking your AI about your agent's telemetry.
Connect AgentOps to your AIFAQ
How this task behaves.
- 01
Can the AI fix my agent's code?
No. The AI can only read the traces and spans to explain what went wrong. You have to fix the code or prompts yourself.
- 02
Can the AI delete traces from AgentOps?
No. The tools only allow the AI to read data. It cannot delete or modify any telemetry in your AgentOps account.
- 03
Do I need to provide a trace ID?
Yes. To look at a specific failure, you must tell the AI which trace or span ID to pull.
- 04
Can the AI see all my agent data?
No. The AI only sees the specific traces and spans you explicitly ask it to retrieve.
- 05
Does this work with any agent?
It works with any agent that is configured to send telemetry to AgentOps.
More questions about AgentOps? The Connector page answers them. See everything the AgentOps Connector can do
Connect AgentOps to Claude, Cursor, ChatGPT & more
