api-runtime-monitor

Monitor LTX API latency, error rates, and throughput with threshold alerts.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Lightricks/ltx-analytics-agents --skill api-runtime-monitor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-runtime-monitor
Source: https://github.com/Lightricks/ltx-analytics-agents/tree/main/agents/monitoring/api-runtime
Command: npx skills add https://github.com/Lightricks/ltx-analytics-agents --skill api-runtime-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Monitors LTX API runtime performance, latency, error rates, and throughput, and triggers alerts when degradation or failures occur.

Core Features & Use Cases

  • Latency tracking (P50/P95/P99) across API endpoints and models
  • Error rate monitoring and alerting by error_source and endpoint
  • Throughput and utilization insights by org, endpoint, and model
  • Auto-triggered notifications to engineering channels on threshold breaches

Quick Start

Configure the monitor to track latency, error rates, and throughput, and trigger alerts when thresholds are breached.

Frequently Asked Questions about api-runtime-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor API latency and error rates across different endpoints?

You can monitor API latency and error rates by configuring runtime tracking to collect performance data, compute P50/P95/P99 latency metrics, and calculate error percentages broken down by endpoint, model_type, and org_name.

Can I set up alerts for API performance degradation based on specific thresholds?

Yes, you can configure API performance alerts by setting specific thresholds and time windows, which automatically trigger notifications to engineering channels when latency or error rates breach defined limits.

What data do I need to track API performance and compute P95 latency metrics?

To compute P95 latency metrics and track API performance, you need access to the ltxvapi_api_requests_with_be_costs data source or similar API request logs containing endpoint, model, and timestamp fields.

How does API throughput monitoring work for organizations with multiple models?

API throughput monitoring aggregates request data across organizations and models, analyzing utilization rates and request volumes by org_name and model_type to provide comprehensive performance breakdowns.