LLM reliability · SRE for agents

Your AI agents fail quietly.
Puse makes it loud.

Reliability monitoring for LLM apps and agents: every model call traced — latency, tokens, cost, errors — with alerts when error rates climb or spend spikes. SRE-grade observability, sized for teams shipping with AI today.

Puse dashboard showing LLM health metrics

Instrument once, see everything

import Anthropic from "@anthropic-ai/sdk";
import { createPuse } from "@puse/sdk";

const puse = createPuse({ apiKey: "pu-..." });
const anthropic = puse.wrapAnthropic(new Anthropic());

// use the client exactly as before — streaming included.
// every call is traced: model, tokens, cost, latency, errors.
const stream = await anthropic.messages.create({
  model: "claude-sonnet-4-20250514",
  max_tokens: 1024,
  messages: [{ role: "user", content: "…" }],
  stream: true,
});

Built for reliability, not vanity metrics

The pulse of your LLM apps — trace every call, catch regressions, page the right person.

One-line auto-instrumentation

Wrap once. Trace everything.

Wrap your OpenAI or Anthropic client once. Every call — including streams — is traced with model, tokens, latency, and cost. No proxy, no gateway in your request path.

Streaming-aware cost tracking

Know spend mid-stream.

Token usage is captured from streamed responses as they flow, priced against a per-model table you control. Know what every agent run cost, even mid-stream failures.

Health dashboard

See the spike first.

Requests, error rate, latency percentiles, and spend — per project, charted over 24 hours or 7 days. See the spike before your users do.

Alerts that page you, not spam you

Pager-style reliability.

Error-rate and cost-spike detection with tunable thresholds, delivered to Slack. Built for reliability, not vanity metrics.

Errors with context

3am becomes actionable.

Failed calls keep their error message, model, and latency — so 'it broke at 3am' becomes 'rate-limited on claude-sonnet for 12 minutes'.

Self-hostable, tiny footprint

Your traces stay yours.

A Fastify ingest service, a Next.js dashboard, Postgres. Runs on one small VPS. Your traces never leave your infrastructure.

Stop finding out from your users

The first sign of a broken agent shouldn't be a churned customer. Put a pulse on every model call today.