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.
Endpoint: https://llmintel.ai/v1/mcp (streamable-http)
Repository · Website · JSON · Add to my inventory
| health | 18.7 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-14T12:56:41.147Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T09:00:50.390Z | Healthy | 1822 |
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?'. |