From 6c2ae7035b8ad0957c99b38e0a0da1c973b6ca08 Mon Sep 17 00:00:00 2001 From: g1nation Date: Wed, 13 May 2026 19:21:40 +0900 Subject: [PATCH] release: v2.80.42 - core intelligence & extension maintenance --- PATCHNOTES.md | 7 +++++++ package.json | 14 +++++++++++++- 2 files changed, 20 insertions(+), 1 deletion(-) diff --git a/PATCHNOTES.md b/PATCHNOTES.md index 1c6e1a0..666c75d 100644 --- a/PATCHNOTES.md +++ b/PATCHNOTES.md @@ -1,5 +1,12 @@ # Astra Patch Notes +## v2.80.42 (2026-05-13) +### πŸš€ Core Intelligence & Extension Maintenance +- **μ—”μ§„ μ•ˆμ •μ„± κ°•ν™”:** λŒ€κ·œλͺ¨ λŒ€ν™” μ„Έμ…˜μ—μ„œμ˜ μ»¨ν…μŠ€νŠΈ 관리 νš¨μœ¨μ„ 높이고 λ©”λͺ¨λ¦¬ λˆ„μˆ˜ λ°©μ§€ λ‘œμ§μ„ κ°•ν™”ν–ˆμŠ΅λ‹ˆλ‹€. +- **μ‹ κ·œ νŒ¨ν‚€μ§•:** `astra-2.80.42.vsix` νŒ¨ν‚€μ§€λ₯Ό 톡해 μ΅œμ‹  λ§ˆμ΄λ„ˆ κ°œμ„  사항을 톡합 λ°°ν¬ν•©λ‹ˆλ‹€. + +--- + ## v2.80.41 (2026-05-13) ### πŸš€ Distribution & Build Stabilization - **μ‹ κ·œ νŒ¨ν‚€μ§•:** `astra-2.80.41.vsix` νŒ¨ν‚€μ§€λ₯Ό μƒμ„±ν•˜μ—¬ μ΅œμ‹  κΈ°λŠ₯κ³Ό μ•„ν‚€ν…μ²˜ κ°œμ„  사항을 톡합 λ°°ν¬ν•©λ‹ˆλ‹€. diff --git a/package.json b/package.json index 4518542..e0bbc7a 100644 --- a/package.json +++ b/package.json @@ -2,7 +2,7 @@ "name": "astra", "displayName": "Astra", "description": "The personal intelligence layer for Antigravity and VS Code. A private cognitive partner for deep project context, memory, and proactive strategic decision-making.", - "version": "2.80.41", + "version": "2.80.42", "publisher": "g1nation", "license": "MIT", "icon": "assets/icon.png", @@ -341,6 +341,18 @@ "type": "string", "default": "", "description": "Absolute path to the agent skills folder (`.agent/skills/*.md`). When empty, defaults to '/.agent/skills'. Use this on Windows or when your skills live outside the workspace." + }, + "g1nation.embeddingModel": { + "type": "string", + "default": "", + "description": "Embedding model registered in LM Studio / Ollama (e.g. 'text-embedding-bge-small-en-v1.5', 'nomic-embed-text', 'multilingual-e5-small'). When empty, Astra uses TF-IDF only. When set, the brain is embedded lazily in the background and retrieval blends TF-IDF + cosine similarity for synonym / paraphrase matching. Multilingual models are recommended for Korean content." + }, + "g1nation.embeddingBlendAlpha": { + "type": "number", + "default": 0.5, + "minimum": 0, + "maximum": 1, + "description": "Hybrid score blend: 0 = pure TF-IDF (sparse / keyword), 1 = pure embedding cosine (dense / semantic), 0.5 = balanced. Only used when g1nation.embeddingModel is set. Default 0.5." } } }