ai.llmintel/model-lifecycle · v0.2.0 · ai-and-media
LLMIntel Model Lifecycle is healthy: it completed an MCP handshake in 1822 ms and exposes 5 tools. It scores 62/100.
Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.
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Healthy · last checked 2026-10-14T09:00:50.390Z UTC
| Checked (UTC) | Status | Latency |
|---|---|---|
| 2026-10-14T09:00:50.390Z | ok | 1822 ms |
| health | 18.7 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
check_model Check whether an LLM model id is safe to use, deprecated, or retired, and what to migrate to. Accepts the exact string used in code (e.g. 'gpt-4o', 'claude-sonnet-4-5-20250929', 'anthropic/claude-opus-4-1'). Call this before writing or changing any hardcoded model id.list_retiring_models List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.suggest_replacement Given a deprecated or retiring model, return the provider's recommended replacement(s) and, when none is published, active models from the same provider to consider.search_models List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.recent_lifecycle_changes Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.