perf: fix model reload thrash and cut time-to-first-token

Ollama reloaded the chat model mid-message because plan/summary/router
calls sent divergent runner options (no num_ctx/num_batch) and omitted
keep_alive — the main cause of perceived slowness.

- share one keep-alive httpx.AsyncClient for all Ollama calls
- unify runner options (runner_options) + keep_alive on every model
  call, embeddings included
- drop the blocking LLM routing fallback (pure lexical heuristic)
- run RAG recall + plan + code-model pick in parallel inside the SSE
  stream, after the start event
- RAG cosine scoring off the event loop; cache /api/tags 30s and
  nvidia-smi 5s; frontend polls 2s->5s, warm poll backoff, dedup
  config fetch

feat: working session menu in TopBar (switch/create/rename/delete)
feat: workspace file deletion (DELETE /api/files + UI trash buttons)
docs: recommended Ollama env vars (KEEP_ALIVE, MAX_LOADED_MODELS...)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
MichaelandClaude Opus 4.8 committed 2026-07-18 13:58:18 +02:00
1 parent 552548e4b4
commit cb2872c78a
23 files changed
+672 -224

No files matched your search

+1 -1
View File
@@ -59,7 +59,7 @@ async def pick_code_model(current: str, preference: str | None = None) -> str:
from .ollama_client import ollama
try:
installed = await ollama.list_models()
installed = await ollama.list_models_cached()
except Exception:
return current