2 Commits

Include renames

Author	SHA1	Message	Date
Ilker ManapandClaude Opus 5.5	990d82d801	Reserve CPU cores and require memory for CPU models ... A profile's cpu_cores is reserved out of its node's CPUs by placement, as memory is, and becomes the engine's thread count. Agents report their CPU count in registration and heartbeats. New CPU models must declare memory; model views show reserved against measured memory with warnings, and ctl model resources sets both for a stored model. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>	2026-09-30 17:43:13 +02:00
Ilker ManapandClaude Opus 5	501db3d3e8	Add the llama.cpp engine, and let a profile ask for no GPU ... llama.cpp is what makes a cluster with no cards useful: it serves the same OpenAI API on CPU, so the whole path — placement, supervision, scraping, scheduling, admission — can be exercised end to end on ordinary machines. Three things had to give way for it. A profile may now omit its GPU class, and that is how it says it runs on the CPU. Only engines that can actually serve without a card may omit it; for vLLM an omitted class stays an error, because otherwise a typo becomes a replica placed on a machine with no hardware and diagnosed minutes later during model loading. Placement spreads CPU replicas instead of bin packing them, since unlike GPUs there is no allocation to stop two of them sharing a machine's cores. Metric mappings are now per engine rather than per cluster. llama.cpp calls the same three numbers requests_processing, requests_deferred and kv_cache_usage_ratio, and a single global mapping would leave half a mixed fleet unmeasurable. An empty mapping still defaults to vLLM's names; one that names its own Running metric is taken as a complete statement, so the fields it leaves blank stay blank rather than being filled with names that engine cannot have. The adapter refuses multi-node and tensor-parallel profiles. llama.cpp splits across local GPUs by a different mechanism than this adapter drives, and accepting either would produce a replica that starts and then serves from one machine while the catalog believes it has several. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-09-16 08:14:05 +02:00