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depdesk

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Find the deprecated and retired LLM models your code still calls. CLI, pre-commit hook and GitHub Action that fail your build before an OpenAI or Anthropic model is retired.

OSS

depdesk

Added 1 Oct 2026

#ai-engineering #anthropic #ci #claude #cli #deprecation #deprecation-checker #devtools

Overview

Find the deprecated and retired LLM models your code still calls. CLI, pre-commit hook and GitHub Action that fail your build before an OpenAI or Anthropic model is retired.

Best for

Best for
Teams using OpenAI or Anthropic models who want to avoid breakage from model retirements.

Use cases

  • Scan a codebase for deprecated or retired OpenAI and Anthropic model identifiers
  • Add a pre-commit hook to block commits that reference soon-to-be-retired models
  • Run a GitHub Action in CI to fail builds before a model retirement breaks production

Notes

Find the deprecated and retired LLM models your code still calls. CLI, pre-commit hook and GitHub Action that fail your build before an OpenAI or Anthropic model is retired.

0 stars on GitHub. Last updated 2026-09-24. Licensed MIT.

Use cases

  • Scan a codebase for deprecated or retired OpenAI and Anthropic model identifiers
  • Add a pre-commit hook to block commits that reference soon-to-be-retired models
  • Run a GitHub Action in CI to fail builds before a model retirement breaks production

Pros

  • Simple to adopt as CLI, pre-commit hook, or GitHub Action
  • Catches model deprecations before they cause runtime failures
  • Focused on OpenAI and Anthropic, the most common LLM providers

Cons

  • Only supports OpenAI and Anthropic, not other model providers
  • Requires the project maintainers to keep the deprecation list current
  • Community project with no stars yet, so maturity and maintenance are unproven

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Simple to adopt as CLI, pre-commit hook, or GitHub Action
  • Catches model deprecations before they cause runtime failures
  • Focused on OpenAI and Anthropic, the most common LLM providers

Cons

  • Only supports OpenAI and Anthropic, not other model providers
  • Requires the project maintainers to keep the deprecation list current
  • Community project with no stars yet, so maturity and maintenance are unproven
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