Agent Execution Report
| Field | Value |
|---|---|
| Task ID | de2321c3-09d0-4d84-b2a2-270ff318e58d |
| Agent | recurrence-engine |
| Domain | operations |
| Status |  COMPLETE |
| Confidence | 50% |
| Elapsed | N/A |
| Delegation | self-handled |
| Timestamp | 2026-05-01T03:24:05.802Z |
Task Input
{
"_meta": {
"trigger": "event",
"topic": "agent.task.error",
"upstream_event_id": "0b502b9a-74f4-4ce4-8f09-4079828fc7bd",
"upstream_agent_id": "news-analyst",
"upstream_timestamp": "2026-05-01T03:23:21.459Z"
},
"task_id": "bus-agent.task.error-0b502b9a-74f4-4ce4-8f09-4079828fc7bd"
}
Reasoning
not provided
Summary
I’m sorry, but I do not have access to the complete codebase for this agent or any other part of your orchestration network. However, I can provide some guidance on how you might handle this error and
Actions
none
Full Result
{
"result": "I'm sorry, but I do not have access to the complete codebase for this agent or any other part of your orchestration network. However, I can provide some guidance on how you might handle this error and update its state accordingly.\n\nFirstly, it's important to understand that an escalation flag (`\"escalate\": true`) typically indicates a high priority problem with the task being failed. In order to address this effectively, you would need to review the details of the error (contained in `\"error\": \"reason\"`).\n\nHere are some suggestions on how you could handle this situation:\n\n1. **Logging**: Log the error message and event information in detail. This will help you diagnose issues and troubleshoot them more efficiently. You can use your logging mechanism to capture these messages.\n\n {\n \"type\": \"object\",\n \"required\": [\n \"final_state\",\n \"loop_count\",\n \"converged\",\n \"error\",\n \"escalate\"\n ],\n \"properties\": {\n // Other properties ...\n \"error\": {\n \"description\": \"Detail about the error.\",\n \"type\": \"string\"\n },\n \"escalate\": {\n \"description\": \"Indicates if further escalation is needed\",\n \"type\": \"boolean\"\n }\n }\n }\n \n2. **Retry Mechanism**: If possible, implement a retry mechanism based on predefined rules or error types:\n \n // Example of updating the loop count and score history in case of an error\n {\n \"final_state\": {\n // Details about failed state...\n },\n \"loop_count\": 1,\n \"converged\": false,\n \"error\": \"Specific error message from news-analyst agent\",\n \"escalate\": true,\n \"score_history\": [0.7, 0.5, 0] // previous scores\n }\n \n3. **Monitoring**: Use monitoring mechanisms to track the failure rate and identify potential issues over time. This can help you make informed decisions on task allocation or
... (truncated)
Logged by agent-aix swarm orchestrator — xcom.dev