Observability Insights
Track performance, latency, error rates, cost, and usage across every connected model and provider from unified dashboards, replacing fragmented vendor tools with one consistent operational view.
FastRouter helps teams monitor production AI systems with real-time visibility into latency, errors, costs, usage, and output quality across 100+ models. Use one OpenAI-compatible control plane to trace every request, catch regressions early, compare model performance, enforce guardrails, and keep production LLM applications reliable without stitching together separate provider dashboards.
Monitor production LLMs with unified observability, alerts, logs, evaluations, analytics, and performance insights.
Track performance, latency, error rates, cost, and usage across every connected model and provider from unified dashboards, replacing fragmented vendor tools with one consistent operational view.
Monitor response times, availability, throughput, and quality signals in real time so engineering teams can detect slowdowns or regressions before they affect end users.
Capture complete request and response logs with model, provider, latency, token counts, cost, and outcome data for debugging, auditing, and root-cause analysis.
Receive real-time notifications when latency, cost, error rates, downtime, or unusual usage patterns breach defined thresholds across any model or provider.
Run structured evaluations to compare model outputs, validate quality, monitor drift, and make evidence-backed decisions about which models belong in production.
Analyze token usage, request volume, and spend by model, provider, project, and team to support forecasting, chargeback, and budget accountability.
Production AI needs more than basic logs. FastRouter gives engineering, product, and platform teams a single source of truth for every model call, including latency, cost, errors, usage, outputs, and quality signals. With alerts, evaluations, guardrails, and provider-agnostic dashboards built into the gateway, teams can detect issues early and operate LLM applications with confidence.
See how production AI teams improve reliability, visibility, and cost control with centralized LLM monitoring.
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
FastRouter brings monitoring, routing, governance, and optimization together for production AI teams.
Monitor logs, latency, cost, quality, and errors across providers from one dashboard.
Automatic failover and multi-provider redundancy help production AI stay available during outages.
Set project limits, API-key spend caps, roles, and model access policies centrally.
Compare models, track experiments, and monitor output quality drift with evidence.
Built for teams operating AI at production scale.
FastRouter is built for teams moving LLM applications from experimentation into production. Its vision is to serve as the operational foundation for reliable AI systems: one OpenAI-compatible control plane for routing, observability, experimentation, guardrails, governance, evaluations, and multi-provider billing. Instead of forcing engineers to maintain separate integrations and dashboards for every model provider, FastRouter centralizes the workflows needed to run AI safely at scale. The platform is designed for engineering leaders, product teams, and platform teams that need visibility into every request, predictable costs, resilient failover, and the flexibility to adopt new models without rewriting application code.
An LLM monitoring platform tracks how language models behave in live applications. FastRouter captures request logs, latency, error rates, costs, token usage, model outputs, and provider performance in one dashboard. Because traffic flows through a unified gateway, teams get consistent metrics across OpenAI, Anthropic, Google Gemini, xAI Grok, and other providers.
Get practical guidance for monitoring your production LLM stack.
Unified access to 100+ production AI models.
Drop-in compatibility with existing OpenAI SDK workflows.
Gateway-level controls for reliable production AI operations.
Tell us about your production AI stack, monitoring goals, model providers, and reliability requirements. We’ll help you evaluate how FastRouter can centralize observability, alerts, governance, and optimization through one OpenAI-compatible control plane.
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