feat: streamline model provider options and add inherit/local hints#1658
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hijzy merged 2 commits intoMay 8, 2026
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The retrieval ranker's limit was the SUM of per-tier topK values
(e.g. topK={tier1:3,tier2:3,tier3:3} → limit=9), allowing merged
results to exceed the caller's expected total. Now searchMemory
enforces per-tier caps before returning hits, so topK=3 per tier
returns at most 3 results per tier instead of up to 9 total.
Fixes [BUG-2026-05-08] skill-type overflow in search results.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Embedding: keep local/openai_compatible/gemini, remove cohere/voyage/mistral/anthropic - Summarizer: add (inherit) option to reuse agent model, remove bedrock/host/local_only - Skill Evolver: keep inherit/openai_compatible/gemini/anthropic, remove bedrock - Add localHint for embedding (MiniLM-L6-v2 384-dim info) and inheritsLabel for summarizer - Update schema.ts and defaults.ts to allow empty provider for LLM inherit mode Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
local/openai_compatible/gemini(removedcohere,voyage,mistral,anthropic— Anthropic has no embedding API)(inherit)option to reuse the agent's model; simplified toinherit/openai_compatible/gemini/anthropicinherit/openai_compatible/gemini/anthropiclocal("MiniLM-L6-v2, 384-dim, ~23 MB") and when summarizer/skill evolver uses(inherit)schema.tsto allow empty string provider for LLM inherit modedefaults.tsto default LLM provider to""(inherit from agent)Test plan
(inherit)provider