XFMS - Xpansion Framework Model Source
Pick the right LLM for any task.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетНужен API-ключГлобальныйБесплатноМожет изменять данные
Что умеет
- Rank: Rank LLMs for a stated purpose. Returns a shortlist with weights, scores, and plain-English rationale per pick. Use when the user wants to see and compare alternatives, not just one answer.
- Pick: Return the single best LLM for a stated purpose. Concise output, no list. Use when the user has settled on the criteria and just wants one answer.
- Discover: Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets
Какие данные видит
Нужен ли аккаунт
Нужен API-ключ из настроек сервиса
Pick the right LLM for any task. XFMS infers which quality in its catalog against those dimensions, and returns a ranked shortlist with plain-English rationale per pick.
The catalog updates continuously from 8 independent third-party evaluators — no provider self-reports, no single-source benchmarks. Missing data is recorded as missing, not interpolated.
Three tools:
rank— ranked shortlist with weights and rationalepick— single best pickdiscover— which quality dimensions matter, without ranking
No OpenRouter key needed. The hosted endpoint covers inference; you only need a free XFMS access token from xpansion .dev/xfms/get-started. Part of the Xpansion Framework — an enforcement layer for AI-assisted work.
Список инструментов сервера (3)
Технические названия из tools/list. Нужны только разработчикам.
| rank | Rank LLMs for a stated purpose. Returns a shortlist with weights, scores, and plain-English rationale per pick. Use when the user wants to see and compare alternatives, not just one answer. |
| pick | Return the single best LLM for a stated purpose. Concise output, no list. Use when the user has settled on the criteria and just wants one answer. |
| discover | Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick. |