Move llama.cpp chat and local embeddings onto a verified externally managed llama-server runtime. Remove the in-process native runtime, forked embedding workers, and node-llama-cpp dependency while preserving guided setup, local GGUF models, tool-capable agent runs, diagnostics, and operator docs.
* feat(llama-cpp): add in-process text inference
* test(llama-cpp): narrow setup provider fixture
* fix(llama-cpp): trim public surface and refresh docs map
* fix(llama-cpp): import Context type in inference test
* feat(memory): apply outputDimensionality truncation to local GGUF embeddings
The outputDimensionality config field was passed through to the local
embedding provider but never applied. Local GGUF models (e.g.
Qwen3-Embedding-0.6B) always returned their full dimension vector.
Apply slice(0, N) after normalization so MRL-capable models can benefit
from dimension truncation — matching the behavior already supported by
Gemini embedding-2 and OpenAI providers.
Fixes#58765
* fix(memory): preserve local embedding dimensions through worker
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Co-authored-by: Vincent Koc <25068+vincentkoc@users.noreply.github.com>
* fix(memory): accept local default model path migration
Treat the official local default embedding model's hf URI and downloaded GGUF path identities as equivalent so upgraded local memory indexes do not pause solely on path-format changes.
* fix(memory): satisfy local identity lint
Avoid filtered array tail access in the local model filename helper while preserving the same compatibility behavior.
* fix(memory): preserve local embedding identity aliases
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Co-authored-by: Vincent Koc <25068+vincentkoc@users.noreply.github.com>
Jacqueline Henriksen