Alerting monitors your voice AI operations by sending automatic email or webhook notifications when specific metrics cross defined thresholds — no manual dashboard checking required.Documentation Index
Fetch the complete documentation index at: https://documentation.uponai.com/llms.txt
Use this file to discover all available pages before exploring further.
Use Cases
- Monitor call volume spikes or unexpected drops
- Track API errors or function failures
- Set budget alerts when call costs exceed thresholds
- Detect declining call success rates or negative sentiment
Available Metrics
| Metric | Description |
|---|---|
| Call Count | Total calls within the evaluation window |
| Concurrency Used | Peak concurrent calls |
| Call Success Rate | Percentage of successful calls (0–100%) |
| Negative Sentiment Rate | Percentage of calls with negative sentiment (0–100%) |
| Custom Function Latency | Average latency of custom function calls (ms) |
| Custom Function Failure Count | Number of failed custom function calls |
| Transfer Call Failure Count | Number of failed call transfers |
| Total Call Cost | Total cost of calls (USD) |
| API Error Count | Number of API errors (filterable by error code) |
Creating an Alert Rule
Navigate to the Alerting tab in the dashboard. Each rule requires:| Field | Description |
|---|---|
| Name | Descriptive name for the alert |
| Metric | The metric to monitor |
| Threshold type | Absolute or relative |
| Threshold value | Value to compare against |
| Comparator | Greater than, less than, etc. |
| Evaluation window | Time period for metric aggregation |
| Frequency | How often to evaluate the rule |
| Notification channels | Email addresses and/or webhook URLs |
Threshold Types
Absolute — Compares current metric value directly against your threshold.Example: Alert when Call Count > 100 in the last hour.Relative — Compares percentage change from the previous period. Useful for detecting sudden spikes or drops.
Example: Alert when Call Count increases by more than 50% compared to the previous hour.Formula:
((currentValue - previousValue) / previousValue) * 100
If the previous period had zero calls but the current period has calls, this is treated as an infinite increase and will trigger alerts with
> or >= comparators.Evaluation Windows and Frequencies
| Window | Supported Frequencies |
|---|---|
| 1 minute | 1 minute |
| 5 minutes | 1 minute, 5 minutes |
| 30 minutes | 5 minutes, 30 minutes |
| 1 hour | 5 minutes, 30 minutes, 1 hour |
| 12 hours | 30 minutes, 1 hour, 12 hours |
| 24 hours | 1 hour, 12 hours, 24 hours |
| 3 days | 12 hours, 24 hours |
| 7 days | 24 hours |
Filters
- Agent Filter — Filter by specific agents and optionally by agent versions
- Disconnection Reason Filter — Filter by disconnection reason (e.g.
user_hangup,agent_hangup) - Error Code Filter — For API Error Count, filter by specific HTTP status codes (e.g.
429,402)
Notification Channels
Webhook
Configure webhook URLs to receive programmatic notifications — integrates with Slack, PagerDuty, or custom workflows. Webhook payload:X-Retell-Signature header with an HMAC-SHA256 signature:
Node
Alert Incidents
When an alert rule’s condition is met, an incident is created tracking:- When the alert was triggered
- The metric value that triggered it
- When the alert resolved (if applicable)
- Triggered — Metric breaches threshold; incident created, notifications sent
- Active — Incident remains active while condition persists
- Resolved — Metric no longer breaches threshold; incident marked resolved
Only one incident can be active per alert rule at a time. Notifications are sent only when a new incident is created, not on every evaluation.
Limits
- Maximum 10 alert rules per organization
- Webhook timeout: 10 seconds