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LLM Status

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Find and track AI model IDs in your codebase and infra

Developer ToolsDevOpsTerminal Tools
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Tracked since2026
0 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Free and local-first — the CLI runs with no account, no API key, and nothing uploaded.

Biggest con

Alert channels beyond email/in-app (Slack, SMS, webhook) and unlimited tracking need the paid plan.

TL;DR - LLM Status

  • Finds every AI model ID used across your code and infrastructure.
  • Tracks provider deprecation and retirement dates and warns you before one breaks.
  • Free CLI and terminal dashboard, no account needed; optional cloud alerts via email, Slack, SMS, webhook, and GitHub PR checks.
Pricing: Free plan available
Best for: Growing teams

What is LLM Status?

Editorial review
LLM Status (llmstatus.ai) scans your codebase and infrastructure, filesystem, Vercel, Supabase, GitHub Actions and more, to find every AI model ID in use. It tracks provider deprecation and retirement dates and warns you before a model you depend on is removed. It runs as a free CLI and terminal dashboard with no account required; optional cloud sync adds email, Slack, SMS and webhook alerts plus GitHub pull-request checks.
how we evaluateSourcellmstatus.ai ↗

Pros & Cons

Pros

  • Free and local-first — the CLI runs with no account, no API key, and nothing uploaded.
  • Catches deprecated or retired model IDs before they break production.
  • Scans many sources (code, Vercel, Supabase, GitHub Actions, AWS Lambda, Kubernetes) and plugs into GitHub PRs.

Cons

  • Alert channels beyond email/in-app (Slack, SMS, webhook) and unlimited tracking need the paid plan.
  • Lifecycle coverage depends on the model registry, so brand-new or private/self-hosted models may not have dates yet.

Preview

Key Features

Scans code and infrastructure (filesystem, Vercel, Supabase, GitHub Actions, AWS Lambda, Kubernetes) for the AI model IDs in useTracks deprecation and retirement dates for models across AI providers in a continuously updated registrySends alerts before a model you use is retired, via email, Slack, SMS, or webhookFree CLI and terminal dashboard that runs with no account, no API key, and nothing uploadedGitHub pull-request checks that flag dying models and can open a fix PR with the replacement

Pricing Plans

Pricing checked Jul 15, 2026

Free

Free

CLI with no account required

  • Free CLI and terminal dashboard, nothing uploaded
  • Free account adds 1 project, 15 tracked usages, and email + in-app alerts

Pro

$5/year

Unlimited tracking and all alert channels

  • Unlimited projects and tracked usages
  • Slack, SMS and webhook alerts plus GitHub PR checks and fix PRs

Lifetime

$29/one-time

Pay once, Pro features forever

  • All Pro features with a single one-time payment, no renewal
Calculate your costView full pricing

How LLM Status's pricing compares

At $0.42/mo, LLM Status is the most affordable of its 3 direct competitors.

LLM Status
$0.42
HashiCorp Vault
$0.5
Infisical
$18
Checkly
$40

Entry paid plan, monthly. Pricing checked Jul 15, 2026.

Reviews

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Best LLM Status Alternatives

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API and synthetic monitoring for developers

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OllamaFree

Run open-source LLMs locally with one command

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All LLM Status alternatives6+ tools ranked, pricing + verdict per pickLLM Status vs HashiCorp VaultHead-to-head: features, pricing, who winsLLM Status vs MLflowHead-to-head: features, pricing, who winsLLM Status vs Teller SecretsHead-to-head: features, pricing, who wins

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LLM Status FAQ

How does LLM Status help developers avoid production issues?

LLM Status scans codebases and infrastructure to identify AI model IDs in use, tracking provider deprecation and retirement dates. It warns users before a model they depend on is removed, preventing potential breaks in production systems.

Which teams benefit most from using LLM Status?

Teams involved in Developer Tools and DevOps can greatly benefit from LLM Status. It helps maintain the stability of applications relying on AI models by proactively managing model lifecycle changes.

How is LLM Status priced?

LLM Status is available on a free tier, which includes the CLI and terminal dashboard without requiring an account. Paid plans offer additional usage and features, such as advanced alert channels and unlimited tracking.

What kind of limitations should users be aware of with LLM Status?

Alert channels beyond email and in-app notifications, such as Slack, SMS, and webhooks, require a paid plan. Additionally, lifecycle coverage for brand-new or private/self-hosted models may be limited if they are not yet included in the model registry.

Can LLM Status integrate with existing development workflows?

Yes, LLM Status scans various sources including code, Vercel, Supabase, GitHub Actions, AWS Lambda, and Kubernetes. It also offers optional cloud sync to plug into GitHub pull-request checks, providing alerts directly within development workflows.

How does LLM Status compare to MLflow for tracking AI models?

LLM Status specifically focuses on finding and tracking AI model IDs within your codebase and infrastructure to warn about deprecation. MLflow, in contrast, provides a platform for managing the entire machine learning lifecycle, including experimentation, reproducibility, and deployment.

Does LLM Status offer local-first operation?

Yes, LLM Status is designed to be free and local-first, with its CLI running without requiring an account, API key, or uploading any data. Optional cloud sync is available for enhanced features like email and Slack alerts.

Source: llmstatus.ai

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