Monitoring model providers in real-time

Models change.
Your prompts break.
We catch it first.

PromptCanary auto-detects when LLM providers push model updates and runs regression tests on your production prompts before your users notice anything.

Open Dashboard →
⚡ Model change detected
Provider: OpenAI  |  Model: gpt-4o-2026-03-28 → gpt-4o-2026-03-31
Running regression suite... 47 prompts across 3 projects

✓ 41 prompts passed (semantic similarity > 0.92)
✗ 4 prompts failed (JSON schema violation)
⚠ 2 prompts degraded (tone drift detected)

Alert sent to #eng-ai on Slack  |  Report: promptcanary.app/runs/4821
The problem

Every LLM tool tests your code changes. Nobody watches theirs.

OpenAI, Anthropic, and Google push model updates constantly. Silent patches. Version bumps. Behavior changes with no changelog. Your prompts worked yesterday. Today, your JSON extractor returns markdown. Your support bot turned cold. Your summarizer hallucinates.

You find out from a user complaint. Or a spike in your error dashboard. Or worse, you don't find out at all.

The market moment

Three acquisitions. One vacuum.

In 8 months, the three most popular vendor-neutral LLM testing tools were acquired by model providers or infrastructure companies. Teams that relied on them are looking for what comes next.

×

Humanloop → Anthropic

August 2025

Platform shut down. Team acqui-hired. Customers displaced overnight.

×

Langfuse → ClickHouse

January 2026

Open-source continues, but now owned by a database company. LLM-first focus fading.

×

Promptfoo → OpenAI

March 2026

350K+ developers. 127 Fortune 500 companies. Now vendor-locked to OpenAI.

→

PromptCanary launches

2026

Vendor-neutral. Auto-detecting. The tool that watches the providers so you don't have to.

Capabilities

From model change to resolved regression in minutes, not days.

📡

Model Change Detection

Polls provider endpoints every 1-6 hours. Catches version bumps, metadata shifts, silent patches, and behavioral drift via canary prompts.

⚡

Auto-triggered Regression Tests

Model change detected? Every registered prompt gets tested against golden inputs with your quality criteria. No manual triggers needed.

🔔

Multi-channel Alerts

Slack, email, PagerDuty, webhooks, Telegram. Configurable severity thresholds. "Alert if semantic similarity drops below 0.80."

📋

Prompt Registry

Import via paste, API, GitHub sync, or SDK. Define golden inputs, expected outputs, and composable quality criteria per prompt.

🔄

CI/CD Integration

GitHub Action. CLI tool. Webhook endpoints. Block merges when regressions are detected. Runs in your pipeline, not just ours.

📊

Output Diffs & Analytics

Side-by-side comparisons. Historical baselines. Trend tracking across model versions. See exactly what changed and when.

How we compare

The one thing nobody else does.

Feature Braintrust LangSmith Promptfoo PromptCanary
Auto-detect model changes No No No Yes
Trigger tests on provider updates No No No Yes
Prompt evaluation Yes Yes Yes Yes
CI/CD integration Yes Yes Yes Yes
Vendor-neutral Yes LangChain OpenAI Yes
Silent drift detection No No No Yes

Your prompts are only as reliable
as the model behind them.

Providers will keep shipping updates. Models will keep changing. The question is whether you find out from a dashboard or from a customer. PromptCanary makes sure it's the dashboard.

Start Monitoring →