release: v1.15.3

chore: generate
fix(cli): preserve instance context in async commands
2026-08-07 01:29:44 -04:00 · 2026-05-16 14:07:22 +00:00 · 2026-05-16 13:27:23 +00:00 · 2026-05-16 09:25:45 -04:00 · 2026-05-16 13:21:57 +00:00 · 2026-05-16 09:20:35 -04:00
70 changed files with 582 additions and 601 deletions
@@ -7,6 +7,7 @@ on:
      - ci
      - dev
      - beta
+      - fix/npm-native-binary-install
      - snapshot-*
  workflow_dispatch:
    inputs:
@@ -29,7 +29,7 @@
    },
    "packages/app": {
      "name": "@opencode-ai/app",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -84,7 +84,7 @@
    },
    "packages/console/app": {
      "name": "@opencode-ai/console-app",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -119,7 +119,7 @@
    },
    "packages/console/core": {
      "name": "@opencode-ai/console-core",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -146,7 +146,7 @@
    },
    "packages/console/function": {
      "name": "@opencode-ai/console-function",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@ai-sdk/anthropic": "3.0.64",
        "@ai-sdk/openai": "3.0.48",
@@ -168,7 +168,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode-ai/console-mail",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -192,7 +192,7 @@
    },
    "packages/core": {
      "name": "@opencode-ai/core",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -253,7 +253,7 @@
    },
    "packages/desktop": {
      "name": "@opencode-ai/desktop",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
@@ -307,7 +307,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode-ai/enterprise",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@opencode-ai/core": "workspace:*",
        "@opencode-ai/ui": "workspace:*",
@@ -337,7 +337,7 @@
    },
    "packages/function": {
      "name": "@opencode-ai/function",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -353,7 +353,7 @@
    },
    "packages/http-recorder": {
      "name": "@opencode-ai/http-recorder",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "effect": "catalog:",
@@ -366,7 +366,7 @@
    },
    "packages/llm": {
      "name": "@opencode-ai/llm",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@smithy/eventstream-codec": "4.2.14",
        "@smithy/util-utf8": "4.2.2",
@@ -384,7 +384,7 @@
    },
    "packages/opencode": {
      "name": "opencode",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -520,7 +520,7 @@
    },
    "packages/plugin": {
      "name": "@opencode-ai/plugin",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@opencode-ai/sdk": "workspace:*",
        "effect": "catalog:",
@@ -536,9 +536,9 @@
        "typescript": "catalog:",
      },
      "peerDependencies": {
-        "@opentui/core": ">=0.2.10",
-        "@opentui/keymap": ">=0.2.10",
-        "@opentui/solid": ">=0.2.10",
+        "@opentui/core": ">=0.2.11",
+        "@opentui/keymap": ">=0.2.11",
+        "@opentui/solid": ">=0.2.11",
      },
      "optionalPeers": [
        "@opentui/core",
@@ -558,7 +558,7 @@
    },
    "packages/sdk/js": {
      "name": "@opencode-ai/sdk",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "cross-spawn": "catalog:",
      },
@@ -573,7 +573,7 @@
    },
    "packages/slack": {
      "name": "@opencode-ai/slack",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@opencode-ai/sdk": "workspace:*",
        "@slack/bolt": "^3.17.1",
@@ -608,7 +608,7 @@
    },
    "packages/ui": {
      "name": "@opencode-ai/ui",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -657,7 +657,7 @@
    },
    "packages/web": {
      "name": "@opencode-ai/web",
-      "version": "1.15.0",
+      "version": "1.15.3",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -721,9 +721,9 @@
    "@npmcli/arborist": "9.4.0",
    "@octokit/rest": "22.0.0",
    "@openauthjs/openauth": "0.0.0-20250322224806",
-    "@opentui/core": "0.2.10",
-    "@opentui/keymap": "0.2.10",
-    "@opentui/solid": "0.2.10",
+    "@opentui/core": "0.2.11",
+    "@opentui/keymap": "0.2.11",
+    "@opentui/solid": "0.2.11",
    "@pierre/diffs": "1.1.0-beta.18",
    "@playwright/test": "1.59.1",
    "@sentry/solid": "10.36.0",
@@ -1590,23 +1590,23 @@

    "@opentelemetry/semantic-conventions": ["@opentelemetry/semantic-conventions@1.40.0", "", {}, "sha512-cifvXDhcqMwwTlTK04GBNeIe7yyo28Mfby85QXFe1Yk8nmi36Ab/5UQwptOx84SsoGNRg+EVSjwzfSZMy6pmlw=="],

-    "@opentui/core": ["@opentui/core@0.2.10", "", { "dependencies": { "bun-ffi-structs": "0.2.2", "diff": "9.0.0", "marked": "17.0.1", "string-width": "7.2.0", "strip-ansi": "7.1.2", "yoga-layout": "3.2.1" }, "optionalDependencies": { "@opentui/core-darwin-arm64": "0.2.10", "@opentui/core-darwin-x64": "0.2.10", "@opentui/core-linux-arm64": "0.2.10", "@opentui/core-linux-x64": "0.2.10", "@opentui/core-win32-arm64": "0.2.10", "@opentui/core-win32-x64": "0.2.10" }, "peerDependencies": { "web-tree-sitter": "0.25.10" } }, "sha512-oviCtx0jYjc7F8X2b8+0IkQLg6WH47Nwl6CFeZo5dU0k6OpSbTbi07ZleObaiECAp+S1YLhAtVdgzHU7hBZlaw=="],
+    "@opentui/core": ["@opentui/core@0.2.11", "", { "dependencies": { "bun-ffi-structs": "0.2.2", "diff": "9.0.0", "marked": "17.0.1", "string-width": "7.2.0", "strip-ansi": "7.1.2", "yoga-layout": "3.2.1" }, "optionalDependencies": { "@opentui/core-darwin-arm64": "0.2.11", "@opentui/core-darwin-x64": "0.2.11", "@opentui/core-linux-arm64": "0.2.11", "@opentui/core-linux-x64": "0.2.11", "@opentui/core-win32-arm64": "0.2.11", "@opentui/core-win32-x64": "0.2.11" }, "peerDependencies": { "web-tree-sitter": "0.25.10" } }, "sha512-X0zLmcDEvMrPzWYp769I7VEVb+og38vaete9tGZXu9HnJgu/paPUUplUT+6denBQccr2qx1rBYV6EtgbBpLEyw=="],

-    "@opentui/core-darwin-arm64": ["@opentui/core-darwin-arm64@0.2.10", "", { "os": "darwin", "cpu": "arm64" }, "sha512-+lbDDj42Og+UtTZEwlHhGXichmOlkxSqn0J+Jqjat5/Tt5oZykj1NZjFIQ7ZSz4Miz7EmZwgYKE2CyOmmm9MoQ=="],
+    "@opentui/core-darwin-arm64": ["@opentui/core-darwin-arm64@0.2.11", "", { "os": "darwin", "cpu": "arm64" }, "sha512-h2MXtE2Cu3XlKVoQMXthnbhleO68zGXkoh/r1Q5pCoZh6RuXqns5/94D/aZThXBWwzPuEoyarMlxxR9OqrpvHw=="],

-    "@opentui/core-darwin-x64": ["@opentui/core-darwin-x64@0.2.10", "", { "os": "darwin", "cpu": "x64" }, "sha512-5iAoA0aqMWWAQ93nh8Bb0ipwt9h+tvEFc88+YO9St43uUJ+XrXcmMj3T8wtl6dSu/SN0UoDWNaUMHUmtykiPtg=="],
+    "@opentui/core-darwin-x64": ["@opentui/core-darwin-x64@0.2.11", "", { "os": "darwin", "cpu": "x64" }, "sha512-Y0jbPClnOBTPSIy+2THG86MTqIG/jGFlOOKuw4JfCDqEjPBM3pLWIHnJb3WxHRi2LlvfyBxvrUTXWlW6JpI0QQ=="],

-    "@opentui/core-linux-arm64": ["@opentui/core-linux-arm64@0.2.10", "", { "os": "linux", "cpu": "arm64" }, "sha512-EnrkxgH5K76Oi/Br1UHPZblXG5P60snmtySfnxuVaeECNZrbTkV6BV/A0WoBeWshJweGbx1D+eTF+sEEjQCi8w=="],
+    "@opentui/core-linux-arm64": ["@opentui/core-linux-arm64@0.2.11", "", { "os": "linux", "cpu": "arm64" }, "sha512-blQyyuTaW4q/OQ3whs7Kt7GCXhBUR5EQHHDdjOqQAr0HYpohUa6sbHMbiBcX2Ehc9ZWwtiaOoWiyZ5YXy2SAvg=="],

-    "@opentui/core-linux-x64": ["@opentui/core-linux-x64@0.2.10", "", { "os": "linux", "cpu": "x64" }, "sha512-fI+r3kCPqIxsWwPVGpKUQy4zHK8y+jkDRCwa3UbaUy48RQ44jMuf2RhVhmi4xmCvSc8UPJBbYsw1tLuh9kmXjg=="],
+    "@opentui/core-linux-x64": ["@opentui/core-linux-x64@0.2.11", "", { "os": "linux", "cpu": "x64" }, "sha512-0nEB5+MgzQRYiVcQd1vHXPWNPWGh4JEmQTJKyG3OHnTzPaJ1FVSQ/V71ECyRSl3ymY3F+U0eW9cFgw1hCieK2w=="],

-    "@opentui/core-win32-arm64": ["@opentui/core-win32-arm64@0.2.10", "", { "os": "win32", "cpu": "arm64" }, "sha512-8F4z2hIRgkVWcr6CMVeJ9N4+1rmURPt2Pq2GBPko8ch6rxHR+a//KD1MfphyuLTHBS1tJ4vfZSWSoiaESImtrA=="],
+    "@opentui/core-win32-arm64": ["@opentui/core-win32-arm64@0.2.11", "", { "os": "win32", "cpu": "arm64" }, "sha512-+KKH77fzm0qF8py9G2pU32DzB1bAgDMfBajrs7gKL5NtSEnknrwfh7hIs/tq41aF6j9zvIzgtykByh26tcjFog=="],

-    "@opentui/core-win32-x64": ["@opentui/core-win32-x64@0.2.10", "", { "os": "win32", "cpu": "x64" }, "sha512-Ki+qNBlIFW5K2wcG/RHrlPp7yEQKXeiNX3mlje25iwX62Ac5w391HBpOmUjbPoq20McPyDRnhbLfbXQSPtickg=="],
+    "@opentui/core-win32-x64": ["@opentui/core-win32-x64@0.2.11", "", { "os": "win32", "cpu": "x64" }, "sha512-dMmb9DX0W0HWadLdgciMbonqIc1xdcKiVmaQSYxw5eGCzFRPZIOrKHByesP+2ipkMuLx85W/MJUFal/lW8XSNg=="],

-    "@opentui/keymap": ["@opentui/keymap@0.2.10", "", { "dependencies": { "@opentui/core": "0.2.10" }, "peerDependencies": { "@opentui/react": "0.2.10", "@opentui/solid": "0.2.10", "react": ">=19.2.0", "solid-js": "1.9.12" }, "optionalPeers": ["@opentui/react", "@opentui/solid", "react", "solid-js"] }, "sha512-80fU3Lr/98sNIpVYd8PApAeQw8A8D9BemyOGi6jGvTQCl0rxKgvaVBviDRGKxl1INTVjZy9By8UPncc2KJOuWQ=="],
+    "@opentui/keymap": ["@opentui/keymap@0.2.11", "", { "dependencies": { "@opentui/core": "0.2.11" }, "peerDependencies": { "@opentui/react": "0.2.11", "@opentui/solid": "0.2.11", "react": ">=19.2.0", "solid-js": "1.9.12" }, "optionalPeers": ["@opentui/react", "@opentui/solid", "react", "solid-js"] }, "sha512-pCrJrY3mTuXdDaaRneId1JsJCtGE+7prTtWihzOLZzVJTJYyYtT38gMI7MpyAoloVDfEL5cTe8C+v7wv+IYREw=="],

-    "@opentui/solid": ["@opentui/solid@0.2.10", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.2.10", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-+4/MB90yIQiPwg8Y4wY092yva9BvRTsJeeeEO3e2H7P8k8zxYk4G9bzuhqYLxA9mTVQ+zVDlrmFoPQhT7vpIRw=="],
+    "@opentui/solid": ["@opentui/solid@0.2.11", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.2.11", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-M3WHxBFORHVE0yqMJYpi9PfjXWlnRTw/LYuBhZaJv0HTo+zTs60P/ukGcwnHDWnMpTGf3BH9x0Yi2dIqjHRY6Q=="],

    "@oslojs/asn1": ["@oslojs/asn1@1.0.0", "", { "dependencies": { "@oslojs/binary": "1.0.0" } }, "sha512-zw/wn0sj0j0QKbIXfIlnEcTviaCzYOY3V5rAyjR6YtOByFtJiT574+8p9Wlach0lZH9fddD4yb9laEAIl4vXQA=="],

@@ -37,16 +37,14 @@
            node_modules = final.callPackage ./nix/node_modules.nix {
              inherit rev;
            };
+          in
+          rec {
            opencode = final.callPackage ./nix/opencode.nix {
              inherit node_modules;
            };
-            desktop = final.callPackage ./nix/desktop.nix {
+            opencode-desktop = final.callPackage ./nix/desktop.nix {
              inherit opencode;
            };
-          in
-          {
-            inherit opencode;
-            opencode-desktop = desktop;
          };
      };

@@ -56,16 +54,15 @@
          node_modules = pkgs.callPackage ./nix/node_modules.nix {
            inherit rev;
          };
+        in
+        rec {
+          default = opencode;
          opencode = pkgs.callPackage ./nix/opencode.nix {
            inherit node_modules;
          };
-          desktop = pkgs.callPackage ./nix/desktop.nix {
+          opencode-desktop = pkgs.callPackage ./nix/desktop.nix {
            inherit opencode;
          };
-        in
-        {
-          default = opencode;
-          inherit opencode desktop;
          # Updater derivation with fakeHash - build fails and reveals correct hash
          node_modules_updater = node_modules.override {
            hash = pkgs.lib.fakeHash;
@@ -65,7 +65,7 @@ const modelHttpErrorsQuery = (product: "go" | "zen") => {
        filters,
      },
    ],
-    formulas: [{ name: "ERROR", expression: "IF(GTE($TOTAL, 100), DIV($FAILED, $TOTAL), 0)" }],
+    formulas: [{ name: "ERROR", expression: "IF(GTE($TOTAL, 200), DIV($FAILED, $TOTAL), 0)" }],
    timeRange: 900,
  }).json
 }
@@ -1,100 +1,101 @@
 {
  lib,
  stdenv,
-  rustPlatform,
-  pkg-config,
-  cargo-tauri,
  bun,
  nodejs,
-  cargo,
-  rustc,
-  jq,
-  wrapGAppsHook4,
+  electron_41,
  makeWrapper,
-  dbus,
-  glib,
-  gtk4,
-  libsoup_3,
-  librsvg,
-  libappindicator,
-  glib-networking,
-  openssl,
-  webkitgtk_4_1,
-  gst_all_1,
+  writableTmpDirAsHomeHook,
+  autoPatchelfHook,
  opencode,
 }:
-rustPlatform.buildRustPackage (finalAttrs: {
+let
+  electron = electron_41;
+in
+stdenv.mkDerivation (finalAttrs: {
  pname = "opencode-desktop";
-  inherit (opencode)
-    version
-    src
-    node_modules
-    patches
-    ;
-
-  cargoRoot = "packages/desktop/src-tauri";
-  cargoLock.lockFile = ../packages/desktop/src-tauri/Cargo.lock;
-  buildAndTestSubdir = finalAttrs.cargoRoot;
+  inherit (opencode) version src node_modules;

  nativeBuildInputs = [
-    pkg-config
-    cargo-tauri.hook
    bun
-    nodejs # for patchShebangs node_modules
-    cargo
-    rustc
-    jq
+    nodejs
    makeWrapper
-  ] ++ lib.optionals stdenv.hostPlatform.isLinux [ wrapGAppsHook4 ];
-
-  buildInputs = lib.optionals stdenv.isLinux [
-    dbus
-    glib
-    gtk4
-    libsoup_3
-    librsvg
-    libappindicator
-    glib-networking
-    openssl
-    webkitgtk_4_1
-    gst_all_1.gstreamer
-    gst_all_1.gst-plugins-base
-    gst_all_1.gst-plugins-good
-    gst_all_1.gst-plugins-bad
+    writableTmpDirAsHomeHook
+  ] ++ lib.optionals stdenv.hostPlatform.isLinux [
+    autoPatchelfHook
  ];

-  strictDeps = true;
+  buildInputs = lib.optionals stdenv.hostPlatform.isLinux [
+    (lib.getLib stdenv.cc.cc)
+  ];
+
+  env = opencode.env // {
+    ELECTRON_SKIP_BINARY_DOWNLOAD = "1";
+  };
+
+  # https://github.com/electron/electron/issues/31121
+  # mac builds use a .app bundle which doesnt have this issue
+  postPatch = lib.optionalString stdenv.isLinux ''
+    BASE_PATH=packages/desktop
+    FILES=(src/main/windows.ts)
+    for file in "''${FILES[@]}"; do
+      substituteInPlace $BASE_PATH/$file \
+        --replace-fail "process.resourcesPath" "'$out/opt/opencode-desktop/resources'"
+    done
+  '';

  preBuild = ''
-    cp -a ${finalAttrs.node_modules}/{node_modules,packages} .
-    chmod -R u+w node_modules packages
+    cp -r "${electron.dist}" $HOME/.electron-dist
+    chmod -R u+w $HOME/.electron-dist
+
+    cp -R ${finalAttrs.node_modules}/. .
    patchShebangs node_modules
-    patchShebangs packages/desktop/node_modules
-
-    mkdir -p packages/desktop/src-tauri/sidecars
-    cp ${opencode}/bin/opencode packages/desktop/src-tauri/sidecars/opencode-cli-${stdenv.hostPlatform.rust.rustcTarget}
+    patchShebangs packages/*/node_modules
  '';

-  # see publish-tauri job in .github/workflows/publish.yml
-  tauriBuildFlags = [
-    "--config"
-    "tauri.prod.conf.json"
-    "--no-sign" # no code signing or auto updates
+  buildPhase = ''
+    runHook preBuild
+
+    cd packages/desktop
+
+    bun run build
+    npx electron-builder --dir \
+      --config electron-builder.config.ts \
+      --config.mac.identity=null \
+      --config.electronDist="$HOME/.electron-dist"
+
+    runHook postBuild
+  '';
+
+  installPhase =
+    ''
+      runHook preInstall
+    ''
+    + lib.optionalString stdenv.hostPlatform.isDarwin ''
+      mkdir -p $out/Applications
+      mv dist/mac*/*.app $out/Applications
+      makeWrapper "$out/Applications/OpenCode.app/Contents/MacOS/OpenCode" $out/bin/opencode-desktop
+    ''
+    + lib.optionalString stdenv.hostPlatform.isLinux ''
+      mkdir -p $out/opt/opencode-desktop
+      cp -r dist/linux*-unpacked/{resources,LICENSE*} $out/opt/opencode-desktop
+      makeWrapper ${lib.getExe electron} $out/bin/opencode-desktop \
+        --inherit-argv0 \
+        --set ELECTRON_FORCE_IS_PACKAGED 1 \
+        --add-flags $out/opt/opencode-desktop/resources/app.asar \
+        --add-flags "\''${NIXOS_OZONE_WL:+\''${WAYLAND_DISPLAY:+--ozone-platform-hint=auto --enable-features=WaylandWindowDecorations --enable-wayland-ime=true}}"
+    ''
+    + ''
+      runHook postInstall
+    '';
+
+  autoPatchelfIgnoreMissingDeps = [
+    "libc.musl-x86_64.so.1"
  ];

-  # FIXME: workaround for concerns about case insensitive filesystems
-  # should be removed once binary is renamed or decided otherwise
-  # darwin output is a .app bundle so no conflict
-  postFixup = lib.optionalString stdenv.hostPlatform.isLinux ''
-    mv $out/bin/OpenCode $out/bin/opencode-desktop
-    sed -i 's|^Exec=OpenCode$|Exec=opencode-desktop|' $out/share/applications/OpenCode.desktop
-  '';
-
  meta = {
    description = "OpenCode Desktop App";
-    homepage = "https://opencode.ai";
-    license = lib.licenses.mit;
    mainProgram = "opencode-desktop";
-    inherit (opencode.meta) platforms;
+    inherit (opencode.meta) homepage license platforms;
  };
 })
@@ -1,8 +1,8 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-Hw7sVV9rTm6qBMtdwfLIV2QvxvLQY5qrywXzuyYbhcs=",
-    "aarch64-linux": "sha256-++oXnY7YqrYt0Qv7ZISmoHliARM9qEP8FacqLxGZH1c=",
-    "aarch64-darwin": "sha256-kZVa0R1YbuvtTzpETqK6ddj4ISje5jBFHBdlynkhW7Q=",
-    "x86_64-darwin": "sha256-94eagNDa8GGJxF8BsMX2BF5Pa+QTl48lXL1+6HgEn0I="
+    "x86_64-linux": "sha256-Ucvyzyq+oYvWglkeowSvb0LgDzkAvaSdq0CdA6jgN6U=",
+    "aarch64-linux": "sha256-SERwZvvN6P8/OwNolHmC0KU9H5laVQm+FD/NNKauZA8=",
+    "aarch64-darwin": "sha256-I1ABwMHkTAntlYyg43w0cW8iPYfZa9MT0In2C7plB5g=",
+    "x86_64-darwin": "sha256-degJTL0RG7QQO8/USgIF//ya7oNmwChTmAoJcpXbIp0="
  }
 }
@@ -40,7 +40,7 @@ stdenvNoCC.mkDerivation (finalAttrs: {
  env.MODELS_DEV_API_JSON = "${models-dev}/dist/_api.json";
  env.OPENCODE_DISABLE_MODELS_FETCH = true;
  env.OPENCODE_VERSION = finalAttrs.version;
-  env.OPENCODE_CHANNEL = "local";
+  env.OPENCODE_CHANNEL = "prod";

  buildPhase = ''
    runHook preBuild
@@ -89,11 +89,12 @@ stdenvNoCC.mkDerivation (finalAttrs: {

  passthru = {
    jsonschema = "${placeholder "out"}/share/opencode/schema.json";
+    env = finalAttrs.env;
  };

  meta = {
    description = "The open source coding agent";
-    homepage = "https://opencode.ai/";
+    homepage = "https://opencode.ai";
    license = lib.licenses.mit;
    mainProgram = "opencode";
    inherit (node_modules.meta) platforms;
@@ -35,9 +35,9 @@
      "@types/cross-spawn": "6.0.6",
      "@octokit/rest": "22.0.0",
      "@hono/zod-validator": "0.4.2",
-      "@opentui/core": "0.2.10",
-      "@opentui/keymap": "0.2.10",
-      "@opentui/solid": "0.2.10",
+      "@opentui/core": "0.2.11",
+      "@opentui/keymap": "0.2.11",
+      "@opentui/solid": "0.2.11",
      "ulid": "3.0.1",
      "@kobalte/core": "0.13.11",
      "@types/luxon": "3.7.1",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/app",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "description": "",
  "type": "module",
  "exports": {
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/console-app",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/console-core",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "private": true,
  "type": "module",
  "license": "MIT",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/console-function",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "$schema": "https://json.schemastore.org/package.json",
  "private": true,
  "type": "module",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/console-mail",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "dependencies": {
    "@jsx-email/all": "2.2.3",
    "@jsx-email/cli": "1.4.3",
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "name": "@opencode-ai/core",
  "type": "module",
  "license": "MIT",
@@ -38,7 +38,6 @@ export const Flag = {
  ),
  OPENCODE_EXPERIMENTAL_DISABLE_COPY_ON_SELECT:
    copy === undefined ? process.platform === "win32" : truthy("OPENCODE_EXPERIMENTAL_DISABLE_COPY_ON_SELECT"),
-  OPENCODE_EXPERIMENTAL_MINIMAL_THINKING: truthy("OPENCODE_EXPERIMENTAL_MINIMAL_THINKING"),
  OPENCODE_MODELS_URL: process.env["OPENCODE_MODELS_URL"],
  OPENCODE_MODELS_PATH: process.env["OPENCODE_MODELS_PATH"],
  OPENCODE_DB: process.env["OPENCODE_DB"],
@@ -1,7 +1,7 @@
 {
  "name": "@opencode-ai/desktop",
  "private": true,
-  "version": "1.15.0",
+  "version": "1.15.3",
  "type": "module",
  "license": "MIT",
  "homepage": "https://opencode.ai",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/enterprise",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "private": true,
  "type": "module",
  "license": "MIT",
@@ -1,7 +1,7 @@
 id = "opencode"
 name = "OpenCode"
 description = "The open source coding agent."
-version = "1.15.0"
+version = "1.15.3"
 schema_version = 1
 authors = ["Anomaly"]
 repository = "https://github.com/anomalyco/opencode"
@@ -11,26 +11,26 @@ name = "OpenCode"
 icon = "./icons/opencode.svg"

 [agent_servers.opencode.targets.darwin-aarch64]
-archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.0/opencode-darwin-arm64.zip"
+archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.3/opencode-darwin-arm64.zip"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.darwin-x86_64]
-archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.0/opencode-darwin-x64.zip"
+archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.3/opencode-darwin-x64.zip"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.linux-aarch64]
-archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.0/opencode-linux-arm64.tar.gz"
+archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.3/opencode-linux-arm64.tar.gz"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.linux-x86_64]
-archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.0/opencode-linux-x64.tar.gz"
+archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.3/opencode-linux-x64.tar.gz"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.windows-x86_64]
-archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.0/opencode-windows-x64.zip"
+archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.3/opencode-windows-x64.zip"
 cmd = "./opencode.exe"
 args = ["acp"]
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/function",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "$schema": "https://json.schemastore.org/package.json",
  "private": true,
  "type": "module",
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "name": "@opencode-ai/http-recorder",
  "type": "module",
  "license": "MIT",
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "name": "@opencode-ai/llm",
  "type": "module",
  "license": "MIT",
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "name": "opencode",
  "type": "module",
  "license": "MIT",
@@ -37,9 +37,16 @@ await $`cp ./script/postinstall.mjs ./dist/${pkg.name}/postinstall.mjs`
 await Bun.file(`./dist/${pkg.name}/LICENSE`).write(await Bun.file("../../LICENSE").text())
 await Bun.file(`./dist/${pkg.name}/bin/${pkg.name}.exe`).write(
  [
-    "#!/usr/bin/env node",
-    "console.error('The opencode native binary was not installed. Run `node postinstall.mjs` from the opencode-ai package directory to finish setup.')",
-    "process.exit(1)",
+    `echo "Error: ${pkg.name}-ai's postinstall script was not run." >&2`,
+    'echo "" >&2',
+    'echo "This occurs when using --ignore-scripts during installation, or when using a" >&2',
+    'echo "package manager like pnpm that does not run postinstall scripts by default." >&2',
+    'echo "" >&2',
+    'echo "To fix this, run the postinstall script manually:" >&2',
+    `echo "  cd node_modules/${pkg.name}-ai && node postinstall.mjs" >&2`,
+    'echo "" >&2',
+    `echo "Or reinstall ${pkg.name}-ai without the --ignore-scripts flag." >&2`,
+    "exit 1",
    "",
  ].join("\n"),
 )
@@ -70,11 +70,54 @@ Endpoint definitions declare which public errors can be emitted. Public
 HTTP error schemas carry their response status with `httpApiStatus` or the
 equivalent HttpApi schema annotation.

+Effect's own HttpApi examples follow this pattern:
+
+```ts
+export class Unauthorized extends Schema.TaggedErrorClass<Unauthorized>()(
+  "Unauthorized",
+  { message: Schema.String },
+  { httpApiStatus: 401 },
+) {}
+
+export class Authorization extends HttpApiMiddleware.Service<
+  Authorization,
+  {
+    provides: CurrentUser
+  }
+>()("app/Authorization", {
+  security: { bearer: HttpApiSecurity.bearer },
+  error: Unauthorized,
+}) {}
+```
+
+Endpoint-level errors use the same idea:
+
+```ts
+export class ConfigApiError extends Schema.ErrorClass<ConfigApiError>("ConfigApiError")(
+  {
+    name: Schema.Union(Schema.Literal("ConfigInvalidError"), Schema.Literal("ConfigJsonError")),
+    data: Schema.Struct({ message: Schema.optional(Schema.String), path: Schema.String }),
+  },
+  { httpApiStatus: 400 },
+) {}
+
+HttpApiEndpoint.get("get", "/config", {
+  success: Config.Info,
+  error: ConfigApiError,
+})
+```
+
 The service error and HTTP error may be the same class only when the wire
 shape is intentionally public. Use separate HTTP error schemas when the
 service error contains internals, low-level causes, retry hints, or data
 that should not be exposed to API clients.

+Do not map every domain error into one universal HTTP error class. Prefer a
+small public error vocabulary by route group: shared shapes like
+`ApiNotFoundError`, route-specific shapes like `ConfigApiError`, and built-in
+empty `HttpApiError.*` only when an empty/no-content body is the intended SDK
+contract.
+
 ## Mapping Guidance

 - Keep one-off translations inline in the handler.
@@ -86,6 +129,35 @@ that should not be exposed to API clients.
  breaking API change.
 - Use built-in `HttpApiError.*` only when its generated body and SDK
  surface are intentionally the public contract.
+- Prefer `Schema.ErrorClass` for public HTTP error bodies whose wire shape is
+  not the same as the internal domain error shape.
+- Prefer `Schema.TaggedErrorClass` for service/domain errors and middleware
+  errors that are naturally tagged by `_tag`.
+- If preserving a legacy `{ name, data }` body, model that shape explicitly in
+  the public API error schema instead of relying on `NamedError.toObject()` in
+  generic middleware.
+
+## User-Facing Rendering
+
+HTTP serialization and user rendering are separate boundaries. The server
+should send structured public errors; CLI and TUI code should format those
+structures through one shared formatter.
+
+For SDK calls using `{ throwOnError: true }`, the generated client may wrap the
+decoded response body in an `Error`. The original body should remain available
+under `error.cause.body`; `FormatError` is the right place to unwrap and render
+that body. TUI aggregation helpers should call `FormatError` first, then fall
+back to generic `Error.message` / string rendering.
+
+When several parallel startup requests fail from the same underlying issue,
+group identical rendered messages and list the affected request names once.
+For example:
+
+```text
+Configuration is invalid at /path/to/opencode.json
+↳ Expected object, got "not-object" provider.bad.options
+Affected startup requests: config.providers, provider.list, app.agents, config.get
+```

 ## Middleware Guidance

@@ -99,6 +171,15 @@ middleware should shrink. It should not gain new name checks.
 Unknown `500` responses should log full details server-side with
 `Cause.pretty(cause)` and return a safe public body.

+The config startup regression in #27056 is the failure mode this rule is meant
+to avoid: a user-authored invalid `opencode.json` crossed the HttpApi boundary
+as a defect, so middleware replaced a useful `ConfigInvalidError` with a safe
+generic `UnknownError`. The compatibility fix is to preserve config parse and
+validation errors as client-visible `400`s. The target architecture is better:
+config loading should fail on the typed error channel, config HTTP handlers
+should map those errors to declared `ConfigApiError` responses, and the generic
+middleware should never see them.
+
 ## Migration Order

 Prefer small vertical slices:
@@ -113,6 +194,9 @@ Prefer small vertical slices:
 Good early domains are storage not-found, worktree errors, and provider
 auth validation errors because they currently drive HTTP behavior.

+Config parse and validation errors are also a good early slice because they
+are startup-blocking and must be rendered clearly in both CLI and TUI flows.
+
 ## Checklist For A PR

 - [ ] Expected failures are typed errors, not defects.
@@ -66,6 +66,8 @@ const AgentCreateCommand = effectCmd({
    if (!maybeCtx) return yield* Effect.die("InstanceRef not provided")
    const ctx = maybeCtx
    const agentSvc = yield* Agent.Service
+    const runLocalEffect = <A, E>(effect: Effect.Effect<A, E>) =>
+      Effect.runPromise(effect.pipe(Effect.provideService(InstanceRef, ctx)))
    yield* Effect.promise(async () => {
      const cliPath = args.path
      const cliDescription = args.description
@@ -127,7 +129,7 @@ const AgentCreateCommand = effectCmd({
      const spinner = prompts.spinner()
      spinner.start("Generating agent configuration...")
      const model = args.model ? Provider.parseModel(args.model) : undefined
-      const generated = await Effect.runPromise(agentSvc.generate({ description, model })).catch((error) => {
+      const generated = await runLocalEffect(agentSvc.generate({ description, model })).catch((error) => {
        spinner.stop(`LLM failed to generate agent: ${error.message}`, 1)
        if (isFullyNonInteractive) process.exit(1)
        throw new UI.CancelledError()
@@ -435,6 +435,9 @@ export const GithubRunCommand = effectCmd({
    const sessionSvc = yield* Session.Service
    const sessionShare = yield* SessionShare.Service
    const sessionPrompt = yield* SessionPrompt.Service
+    const busSvc = yield* Bus.Service
+    const runLocalEffect = <A, E>(effect: Effect.Effect<A, E>) =>
+      Effect.runPromise(effect.pipe(Effect.provideService(InstanceRef, ctx)))
    yield* Effect.promise(async () => {
      const isMock = args.token || args.event

@@ -548,7 +551,7 @@ export const GithubRunCommand = effectCmd({

        // Setup opencode session
        const repoData = await fetchRepo()
-        session = await Effect.runPromise(
+        session = await runLocalEffect(
          sessionSvc.create({
            permission: [
              {
@@ -559,11 +562,11 @@ export const GithubRunCommand = effectCmd({
            ],
          }),
        )
-        subscribeSessionEvents()
+        await subscribeSessionEvents()
        shareId = await (async () => {
          if (share === false) return
          if (!share && repoData.data.private) return
-          await Effect.runPromise(sessionShare.share(session.id))
+          await runLocalEffect(sessionShare.share(session.id))
          return session.id.slice(-8)
        })()
        console.log("opencode session", session.id)
@@ -870,7 +873,7 @@ export const GithubRunCommand = effectCmd({
        return { userPrompt: prompt, promptFiles: imgData }
      }

-      function subscribeSessionEvents() {
+      async function subscribeSessionEvents() {
        const TOOL: Record<string, [string, string]> = {
          todowrite: ["Todo", UI.Style.TEXT_WARNING_BOLD],
          bash: ["Shell", UI.Style.TEXT_DANGER_BOLD],
@@ -893,33 +896,35 @@ export const GithubRunCommand = effectCmd({
        }

        let text = ""
-        Bus.subscribe(MessageV2.Event.PartUpdated, (evt) => {
-          if (evt.properties.part.sessionID !== session.id) return
-          //if (evt.properties.part.messageID === messageID) return
-          const part = evt.properties.part
+        await runLocalEffect(
+          busSvc.subscribeCallback(MessageV2.Event.PartUpdated, (evt) => {
+            if (evt.properties.part.sessionID !== session.id) return
+            //if (evt.properties.part.messageID === messageID) return
+            const part = evt.properties.part

-          if (part.type === "tool" && part.state.status === "completed") {
-            const [tool, color] = TOOL[part.tool] ?? [part.tool, UI.Style.TEXT_INFO_BOLD]
-            const title =
-              part.state.title || Object.keys(part.state.input).length > 0
-                ? JSON.stringify(part.state.input)
-                : "Unknown"
-            console.log()
-            printEvent(color, tool, title)
-          }
-
-          if (part.type === "text") {
-            text = part.text
-
-            if (part.time?.end) {
-              UI.empty()
-              UI.println(UI.markdown(text))
-              UI.empty()
-              text = ""
-              return
+            if (part.type === "tool" && part.state.status === "completed") {
+              const [tool, color] = TOOL[part.tool] ?? [part.tool, UI.Style.TEXT_INFO_BOLD]
+              const title =
+                part.state.title || Object.keys(part.state.input).length > 0
+                  ? JSON.stringify(part.state.input)
+                  : "Unknown"
+              console.log()
+              printEvent(color, tool, title)
            }
-          }
-        })
+
+            if (part.type === "text") {
+              text = part.text
+
+              if (part.time?.end) {
+                UI.empty()
+                UI.println(UI.markdown(text))
+                UI.empty()
+                text = ""
+                return
+              }
+            }
+          }),
+        )
      }

      async function summarize(response: string) {
@@ -936,7 +941,7 @@ export const GithubRunCommand = effectCmd({
      async function chat(message: string, files: PromptFiles = []) {
        console.log("Sending message to opencode...")

-        return Effect.runPromise(
+        return runLocalEffect(
          Effect.gen(function* () {
            const prompt = sessionPrompt
            const result = yield* prompt.prompt({
@@ -24,6 +24,7 @@ import { createOpencodeClient, type OpencodeClient, type ToolPart } from "@openc
 import { Agent } from "@/agent/agent"
 import { Permission } from "@/permission"
 import { RuntimeFlags } from "@/effect/runtime-flags"
+import { InstanceRef } from "@/effect/instance-ref"
 import { FormatError, FormatUnknownError } from "../error"
 import { INTERACTIVE_INPUT_ERROR, resolveInteractiveStdin } from "./run/runtime.stdin"

@@ -236,6 +237,7 @@ export const RunCommand = effectCmd({
  handler: Effect.fn("Cli.run")(function* (args) {
    const agentSvc = yield* Agent.Service
    const flags = yield* RuntimeFlags.Service
+    const localInstance = yield* InstanceRef
    yield* Effect.promise(async () => {
      const rawMessage = [...args.message, ...(args["--"] || [])].join(" ")
      const thinking = args.interactive ? (args.thinking ?? true) : (args.thinking ?? false)
@@ -508,7 +510,9 @@ export const RunCommand = effectCmd({
        if (!args.agent) return undefined
        const name = args.agent

-        const entry = await Effect.runPromise(agentSvc.get(name))
+        const entry = await Effect.runPromise(
+          agentSvc.get(name).pipe(Effect.provideService(InstanceRef, localInstance)),
+        )
        if (!entry) {
          UI.println(
            UI.Style.TEXT_WARNING_BOLD + "!",
@@ -27,6 +27,11 @@ export type PromptInfo = {

 const MAX_HISTORY_ENTRIES = 50

+export function isDuplicateEntry(previous: PromptInfo | undefined, next: PromptInfo): boolean {
+  if (!previous) return false
+  return JSON.stringify(previous) === JSON.stringify(next)
+}
+
 export const { use: usePromptHistory, provider: PromptHistoryProvider } = createSimpleContext({
  name: "PromptHistory",
  init: () => {
@@ -83,6 +88,10 @@ export const { use: usePromptHistory, provider: PromptHistoryProvider } = create
      },
      append(item: PromptInfo) {
        const entry = structuredClone(unwrap(item))
+        if (isDuplicateEntry(store.history.at(-1), entry)) {
+          setStore("index", 0)
+          return
+        }
        let trimmed = false
        setStore(
          produce((draft) => {
@@ -1,3 +1,5 @@
+import { FormatError } from "@/cli/error"
+
 /**
 * Aggregate Promise.allSettled results into a single Error that names every
 * failed endpoint, or return null when all fulfilled. Used at TUI bootstrap
@@ -15,7 +17,19 @@ export function aggregateFailures(labeled: LabeledSettled[]): Error | null {
  )
  if (failed.length === 0) return null

-  const reasons = failed.map((f) => `${f.name}: ${reasonMessage(f.result.reason)}`).join("; ")
+  const reasons = Array.from(
+    failed
+      .map((f) => ({ name: f.name, message: reasonMessage(f.result.reason) }))
+      .reduce((grouped, failure) => {
+        grouped.set(failure.message, [...(grouped.get(failure.message) ?? []), failure.name])
+        return grouped
+      }, new Map<string, string[]>())
+      .entries(),
+  )
+    .map(([message, names]) =>
+      names.length === 1 ? `${names[0]}: ${message}` : `${message}\nAffected startup requests: ${names.join(", ")}`,
+    )
+    .join("; ")
  const summary = `${failed.length} of ${labeled.length} requests failed: ${reasons}`
  const err = new Error(summary)
  err.cause = { failures: failed.map((f) => ({ name: f.name, reason: f.result.reason })) }
@@ -23,6 +37,9 @@ export function aggregateFailures(labeled: LabeledSettled[]): Error | null {
 }

 function reasonMessage(reason: unknown): string {
+  const formatted = FormatError(reason)
+  if (formatted) return formatted
+
  if (reason instanceof Error) return reason.message
  if (typeof reason === "string") return reason
  if (reason && typeof reason === "object") {
@@ -457,7 +457,7 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
            const exists = sessionStore.pinned.includes(sessionID)
            const next = exists
              ? sessionStore.pinned.filter((x) => x !== sessionID)
-              : [sessionID, ...sessionStore.pinned]
+              : [...sessionStore.pinned, sessionID]
            setSessionStore("pinned", next)
            save()
          })
@@ -1,10 +1,9 @@
 import { createMemo, type Setter } from "solid-js"
-import { Flag } from "@opencode-ai/core/flag/flag"
 import { useKV } from "./kv"

-export type ThinkingMode = "show" | "minimal" | "hide"
+export type ThinkingMode = "show" | "hide"

-const MODES: readonly ThinkingMode[] = ["show", "minimal", "hide"] as const
+const MODES: readonly ThinkingMode[] = ["show", "hide"] as const

 // OpenAI's Responses API surfaces reasoning summaries that start with a bolded
 // title line: "**Inspecting PR workflow**\n\n<body>". GitHub Copilot routes
@@ -20,7 +19,7 @@ export function isThinkingMode(value: unknown): value is ThinkingMode {
  return typeof value === "string" && (MODES as readonly string[]).includes(value)
 }

-// Cycle order matches the slash command: show → minimal → hide → show.
+// Cycle order matches the slash command: show → hide → show.
 export function nextThinkingMode(current: ThinkingMode): ThinkingMode {
  const idx = MODES.indexOf(current)
  return MODES[(idx + 1) % MODES.length] ?? "show"
@@ -33,7 +32,7 @@ export function useThinkingMode() {
  // The KVProvider only renders children once kv.ready, so reads here are safe.
  const hadStored = kv.get("thinking_mode") !== undefined
  const legacy = kv.get("thinking_visibility")
-  const [stored, setStored] = kv.signal<ThinkingMode>("thinking_mode", "minimal")
+  const [stored, setStored] = kv.signal<ThinkingMode>("thinking_mode", "hide")

  // The kv signal exposes its setter typed as `Setter<T>` which carries Solid's
  // overload set; passing an updater fn through a property access loses the
@@ -47,21 +46,21 @@ export function useThinkingMode() {

  // Preserve previous experience for users who had explicitly toggled the
  // legacy `thinking_visibility` boolean. First-time users (no legacy key)
-  // get the new "minimal" default.
+  // get the new "hide" default (collapsed thinking).
  if (!hadStored) {
    if (legacy === true) set("show")
    else if (legacy === false) set("hide")
  }

+  if ((stored() as string) === "minimal") set("hide")
+
  const mode = createMemo<ThinkingMode>(() => {
-    if (Flag.OPENCODE_EXPERIMENTAL_MINIMAL_THINKING) return "minimal"
    const value = stored()
-    return isThinkingMode(value) ? value : "minimal"
+    return isThinkingMode(value) ? value : "hide"
  })

  return {
    mode,
    set,
-    locked: () => Flag.OPENCODE_EXPERIMENTAL_MINIMAL_THINKING === true,
  }
 }
@@ -392,7 +392,7 @@ function AssistantReasoning(props: {
  const thinking = useThinkingMode()
  const [expanded, setExpanded] = createSignal(false)
  const content = createMemo(() => props.part.text.replace("[REDACTED]", "").trim())
-  const inMinimal = createMemo(() => thinking.mode() === "minimal")
+  const inMinimal = createMemo(() => thinking.mode() === "hide")
  // v2 reasoning parts have no per-part `time.end` (see SessionMessageAssistantReasoning
  // in the v2 SDK); we settle on parent-message completion instead.
  const isDone = createMemo(() => props.completedAt() !== undefined)
@@ -404,7 +404,7 @@ function AssistantReasoning(props: {
  }

  return (
-    <Show when={content() && thinking.mode() !== "hide"}>
+    <Show when={content()}>
      <Switch>
        <Match when={!inMinimal() || expanded()}>
          <box
@@ -218,7 +218,7 @@ export function Session() {
  const [conceal, setConceal] = createSignal(true)
  const thinking = useThinkingMode()
  const thinkingMode = thinking.mode
-  const showThinking = createMemo(() => thinkingMode() !== "hide")
+  const showThinking = createMemo(() => true)
  const [timestamps, setTimestamps] = kv.signal<"hide" | "show">("timestamps", "hide")
  const [showDetails, setShowDetails] = kv.signal("tool_details_visibility", true)
  const [showAssistantMetadata, _setShowAssistantMetadata] = kv.signal("assistant_metadata_visibility", true)
@@ -689,9 +689,8 @@ export function Session() {
    {
      title: (() => {
        const next = nextThinkingMode(thinkingMode())
-        if (next === "minimal") return "Switch thinking to minimal"
-        if (next === "hide") return "Hide thinking"
-        return "Show thinking"
+        if (next === "hide") return "Collapse thinking"
+        return "Expand thinking"
      })(),
      value: "session.toggle.thinking",
      category: "Session",
@@ -700,16 +699,6 @@ export function Session() {
        aliases: ["toggle-thinking"],
      },
      run: () => {
-        // Env override forces minimal for the process. Updating KV here would
-        // silently diverge from what's rendered; tell the user instead.
-        if (thinking.locked()) {
-          toast.show({
-            message: "Thinking mode is locked to minimal by OPENCODE_EXPERIMENTAL_MINIMAL_THINKING",
-            variant: "info",
-          })
-          dialog.clear()
-          return
-        }
        thinking.set(nextThinkingMode(thinkingMode()))
        dialog.clear()
      },
@@ -1512,7 +1501,7 @@ const PART_MAPPING = {
 function ReasoningPart(props: { last: boolean; part: ReasoningPart; message: AssistantMessage }) {
  const { theme, subtleSyntax } = useTheme()
  const ctx = use()
-  // Collapsed by default in minimal mode: a single line throughout, so the
+  // Collapsed by default in hide mode: a single line throughout, so the
  // layout never shifts. Click to open the full markdown block, click to close.
  const [expanded, setExpanded] = createSignal(false)

@@ -1523,7 +1512,7 @@ function ReasoningPart(props: { last: boolean; part: ReasoningPart; message: Ass
  // Reasoning is finalized when the server sets `time.end` (see processor.ts).
  // Flips independently of the parent message completing.
  const isDone = createMemo(() => props.part.time.end !== undefined)
-  const inMinimal = createMemo(() => ctx.thinkingMode() === "minimal")
+  const inMinimal = createMemo(() => ctx.thinkingMode() === "hide")
  const duration = createMemo(() => {
    const end = props.part.time.end
    return end === undefined ? 0 : Math.max(0, end - props.part.time.start)
@@ -1539,10 +1528,10 @@ function ReasoningPart(props: { last: boolean; part: ReasoningPart; message: Ass
  }

  return (
-    <Show when={content() && ctx.thinkingMode() !== "hide"}>
+    <Show when={content()}>
      <Switch>
        <Match when={!inMinimal() || expanded()}>
-          {/* Full markdown block: `show` mode, or `minimal` after the user opens it. */}
+          {/* Full markdown block: `show` mode, or `hide` after the user opens it. */}
          <box
            id={"text-" + props.part.id}
            paddingLeft={2}
@@ -1558,7 +1547,7 @@ function ReasoningPart(props: { last: boolean; part: ReasoningPart; message: Ass
              drawUnstyledText={false}
              streaming={true}
              syntaxStyle={subtleSyntax()}
-              content={(inMinimal() ? "▼ " : "") + "_Thinking:_ " + content()}
+              content={(inMinimal() ? "▼ " : "") + (isDone() ? "_Thought:_ " : "_Thinking:_ ") + content()}
              conceal={ctx.conceal()}
              fg={theme.textMuted}
            />
@@ -2,16 +2,9 @@ import { NamedError } from "@opencode-ai/core/util/error"
 import { errorFormat } from "@/util/error"
 import { isRecord } from "@/util/record"

-interface ErrorLike {
-  name?: string
-  _tag?: string
-  message?: string
-  data?: Record<string, unknown>
-}
-
 type ConfigIssue = { message: string; path: string[] }

-function isTaggedError(error: unknown, tag: string): boolean {
+function isTaggedError(error: unknown, tag: string): error is Record<string, unknown> {
  return isRecord(error) && error._tag === tag
 }

@@ -39,22 +32,27 @@ function configIssues(input: Record<string, unknown>): ConfigIssue[] {
    : []
 }

-export function FormatError(input: unknown) {
+export function FormatError(input: unknown): string | undefined {
+  if (input instanceof Error && isRecord(input.cause) && "body" in input.cause) {
+    const formatted = FormatError(input.cause.body)
+    if (formatted) return formatted
+  }
+
  // CliError: domain failure surfaced from an effectCmd handler via fail("...")
  if (isTaggedError(input, "CliError")) {
-    const data = input as ErrorLike & { exitCode?: number }
-    if (data.exitCode != null) process.exitCode = data.exitCode
-    return data.message ?? ""
+    if (typeof input.exitCode === "number") process.exitCode = input.exitCode
+    return stringField(input, "message") ?? ""
  }

  // MCPFailed: { name: string }
  if (NamedError.hasName(input, "MCPFailed")) {
-    return `MCP server "${(input as ErrorLike).data?.name}" failed. Note, opencode does not support MCP authentication yet.`
+    const data = isRecord(input) && isRecord(input.data) ? stringField(input.data, "name") : undefined
+    return `MCP server "${data}" failed. Note, opencode does not support MCP authentication yet.`
  }

  // AccountServiceError, AccountTransportError: TaggedErrorClass
  if (isTaggedError(input, "AccountServiceError") || isTaggedError(input, "AccountTransportError")) {
-    return (input as ErrorLike).message ?? ""
+    return stringField(input, "message") ?? ""
  }

  // ProviderModelNotFoundError: { providerID: string, modelID: string, suggestions?: string[] }
@@ -64,7 +62,7 @@ export function FormatError(input: unknown) {
      ? providerModelNotFound.suggestions.filter((x) => typeof x === "string")
      : []
    return [
-      `Model not found: ${providerModelNotFound.providerID}/${providerModelNotFound.modelID}`,
+      `Model not found: ${stringField(providerModelNotFound, "providerID")}/${stringField(providerModelNotFound, "modelID")}`,
      ...(suggestions.length ? ["Did you mean: " + suggestions.join(", ")] : []),
      `Try: \`opencode models\` to list available models`,
      `Or check your config (opencode.json) provider/model names`,
@@ -112,6 +110,7 @@ export function FormatError(input: unknown) {
  if (isTaggedError(input, "UICancelledError") || NamedError.hasName(input, "UICancelledError")) {
    return ""
  }
+  return undefined
 }

 export function FormatUnknownError(input: unknown): string {
@@ -1,5 +1,6 @@
 import { NamedError } from "@opencode-ai/core/util/error"
 import * as Log from "@opencode-ai/core/util/log"
+import { ConfigError } from "@/config/error"
 import { Cause, Effect } from "effect"
 import { HttpRouter, HttpServerError, HttpServerRespondable, HttpServerResponse } from "effect/unstable/http"

@@ -18,6 +19,13 @@ export const errorLayer = HttpRouter.middleware<{ handles: unknown }>()((effect)
      if (!defect) return Effect.failCause(cause)

      const error = defect.defect
+      if (
+        error instanceof NamedError &&
+        (ConfigError.InvalidError.isInstance(error) || ConfigError.JsonError.isInstance(error))
+      ) {
+        return Effect.succeed(HttpServerResponse.jsonUnsafe(error.toObject(), { status: 400 }))
+      }
+
      log.error("failed", { error, cause: Cause.pretty(cause) })

      return Effect.succeed(
@@ -17,11 +17,6 @@ Only use emojis if the user explicitly requests it. Avoid using emojis in all co
 IMPORTANT: You should minimize output tokens as much as possible while maintaining helpfulness, quality, and accuracy. Only address the specific query or task at hand, avoiding tangential information unless absolutely critical for completing the request. If you can answer in 1-3 sentences or a short paragraph, please do.
 IMPORTANT: You should NOT answer with unnecessary preamble or postamble (such as explaining your code or summarizing your action), unless the user asks you to.
 IMPORTANT: Keep your responses short, since they will be displayed on a command line interface. You MUST answer concisely with fewer than 4 lines (not including tool use or code generation), unless user asks for detail. Answer the user's question directly, without elaboration, explanation, or details. One word answers are best. Avoid introductions, conclusions, and explanations. You MUST avoid text before/after your response, such as "The answer is <answer>.", "Here is the content of the file..." or "Based on the information provided, the answer is..." or "Here is what I will do next...". Here are some examples to demonstrate appropriate verbosity:
-<example>
-user: 2 + 2
-assistant: 4
-</example>
-
 <example>
 user: what is 2+2?
 assistant: 4
@@ -43,11 +38,6 @@ assistant: [use the ls tool to list the files in the current directory, then rea
 npm run dev
 </example>

-<example>
-user: How many golf balls fit inside a jetta?
-assistant: 150000
-</example>
-
 <example>
 user: what files are in the directory src/?
 assistant: [runs ls and sees foo.c, bar.c, baz.c]
@@ -17,6 +17,7 @@ import { EventV2 } from "@opencode-ai/core/event"
 import { serviceUse } from "@/effect/service-use"
 import { InstanceState } from "@/effect/instance-state"
 import { RuntimeFlags } from "@/effect/runtime-flags"
+import { attachWith } from "@/effect/run-service"

 // Keep `Event["data"]` mutable because projectors mutate the persisted shape
 // when writing to the database. Bus payloads (`Properties`) stay readonly —
@@ -75,6 +76,7 @@ export class Service extends Context.Service<Service, Interface>()("@opencode/Sy
 export const layer = Layer.effect(Service)(
  Effect.gen(function* () {
    const flags = yield* RuntimeFlags.Service
+    const bus = yield* ProjectBus.Service

    const replay: Interface["replay"] = Effect.fn("SyncEvent.replay")(function* (event, options) {
      const def = registry.get(event.type)
@@ -112,6 +114,7 @@ export const layer = Layer.effect(Service)(
          }
        : undefined
      process(def, event, {
+        bus,
        publish,
        context,
        ownerID: options?.ownerID,
@@ -172,7 +175,7 @@ export const layer = Layer.effect(Service)(
          const seq = row?.seq != null ? row.seq + 1 : 0

          const event = { id, seq, aggregateID: agg, data }
-          process(def, event, { publish, context, experimentalWorkspaces: flags.experimentalWorkspaces })
+          process(def, event, { bus, publish, context, experimentalWorkspaces: flags.experimentalWorkspaces })
        },
        {
          behavior: "immediate",
@@ -209,7 +212,7 @@ export const layer = Layer.effect(Service)(
  }),
 )

-export const defaultLayer = layer.pipe(Layer.provide(RuntimeFlags.defaultLayer))
+export const defaultLayer = layer.pipe(Layer.provide([ProjectBus.defaultLayer, RuntimeFlags.defaultLayer]))

 export const use = serviceUse(Service)

@@ -303,7 +306,13 @@ function register(def: Definition) {
 function process<Def extends Definition>(
  def: Def,
  event: Event<Def>,
-  options: { publish: boolean; context?: PublishContext; ownerID?: string; experimentalWorkspaces: boolean },
+  options: {
+    bus: ProjectBus.Interface
+    publish: boolean
+    context?: PublishContext
+    ownerID?: string
+    experimentalWorkspaces: boolean
+  },
 ) {
  if (projectors == null) {
    throw new Error("No projectors available. Call `SyncEvent.init` to install projectors")
@@ -348,7 +357,13 @@ function process<Def extends Definition>(
        }

        const result = convertEvent(def.type, event.data)
-        const publish = (data: unknown) => ProjectBus.publish(def, data as Properties<Def>, { id: event.id })
+        const publish = (data: unknown) =>
+          Effect.runPromise(
+            attachWith(options.bus.publish(def, data as Properties<Def>, { id: event.id }), {
+              instance: options.context?.instance,
+              workspace: options.context?.workspace,
+            }),
+          )
        if (result instanceof Promise) {
          void result.then(publish)
        } else {
@@ -19,6 +19,8 @@ const MAX_BYTES_LABEL = `${MAX_BYTES / 1024} KB`
 const SAMPLE_BYTES = 4096
 const SUPPORTED_IMAGE_MIMES = new Set(["image/jpeg", "image/png", "image/gif", "image/webp"])

+class ReadStop extends Schema.TaggedErrorClass<ReadStop>()("ReadStop", {}) {}
+
 // `offset` and `limit` were originally `z.coerce.number()` — the runtime
 // coercion was useful when the tool was called from a shell but serves no
 // purpose in the LLM tool-call path (the model emits typed JSON). The JSON
@@ -111,15 +113,15 @@ export const ReadTool = Tool.define(
      // Note: prefer manual TextDecoder over Stream.decodeText — when the source stream
      // ends without flushing, decodeText drops the final unterminated line. We also
      // avoid Stream.runForEachWhile (it currently swallows the final unterminated
-      // line of the upstream splitLines pipeline) and instead toggle a `done` flag
-      // and ignore subsequent lines.
+      // line of the upstream splitLines pipeline) and use a tagged error to stop the
+      // upstream file stream as soon as the byte cap is reached.
      const decoder = new TextDecoder("utf-8")
      yield* fs.stream(filepath).pipe(
        Stream.map((bytes) => decoder.decode(bytes, { stream: true })),
        Stream.splitLines,
        Stream.runForEach((text) =>
-          Effect.sync(() => {
-            if (flags.done) return
+          Effect.gen(function* () {
+            if (flags.done) return yield* new ReadStop()
            flags.count += 1
            if (flags.count <= start) return

@@ -130,17 +132,19 @@ export const ReadTool = Tool.define(

            const line = text.length > MAX_LINE_LENGTH ? text.substring(0, MAX_LINE_LENGTH) + MAX_LINE_SUFFIX : text
            const size = Buffer.byteLength(line, "utf-8") + (raw.length > 0 ? 1 : 0)
-            if (flags.bytes + size > MAX_BYTES) {
-              flags.cut = true
-              flags.more = true
-              flags.done = true
+            if (flags.bytes + size <= MAX_BYTES) {
+              raw.push(line)
+              flags.bytes += size
              return
            }

-            raw.push(line)
-            flags.bytes += size
+            flags.cut = true
+            flags.more = true
+            flags.done = true
+            return yield* new ReadStop()
          }),
        ),
+        Effect.catchTag("ReadStop", () => Effect.void),
      )

      return { raw, count: flags.count, cut: flags.cut, more: flags.more, offset: opts.offset }
@@ -10,68 +10,12 @@ IMPORTANT: This tool is for terminal operations like git, npm, docker, etc. DO N

 ${commandSection}

-# Committing changes with git
-
-Only create commits when requested by the user. If unclear, ask first. When the user asks you to create a new git commit, follow these steps carefully:
-
-Git Safety Protocol:
- NEVER update the git config
- NEVER run destructive/irreversible git commands (like push --force, hard reset, etc) unless the user explicitly requests them
- NEVER skip hooks (--no-verify, --no-gpg-sign, etc) unless the user explicitly requests it
- NEVER run force push to main/master, warn the user if they request it
- Avoid git commit --amend. ONLY use --amend when ALL conditions are met:
-  (1) User explicitly requested amend, OR the commit succeeded and pre-commit hooks auto-modified files that need including — verify by checking `git log` that HEAD is the new commit before amending
-  (2) HEAD commit was created by you in this conversation (verify: git log -1 --format='%an %ae')
-  (3) Commit has NOT been pushed to remote (verify: git status shows "Your branch is ahead")
- CRITICAL: If commit FAILED or was REJECTED by hook, NEVER amend - fix the issue and create a NEW commit
- CRITICAL: If you already pushed to remote, NEVER amend unless user explicitly requests it (requires force push)
- NEVER commit changes unless the user explicitly asks you to. It is VERY IMPORTANT to only commit when explicitly asked, otherwise the user will feel that you are being too proactive.
-
-1. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following ${gitCommands} in parallel, each using the ${toolName} tool:
-  - Run a git status command to see all untracked files.
-  - Run a git diff command to see both staged and unstaged changes that will be committed.
-  - Run a git log command to see recent commit messages, so that you can follow this repository's commit message style.
-2. Analyze all staged changes (both previously staged and newly added) and draft a commit message:
-  - Summarize the nature of the changes (eg. new feature, enhancement to an existing feature, bug fix, refactoring, test, docs, etc.). Ensure the message accurately reflects the changes and their purpose (i.e. "add" means a wholly new feature, "update" means an enhancement to an existing feature, "fix" means a bug fix, etc.).
-  - Do not commit files that likely contain secrets (.env, credentials.json, etc.). Warn the user if they specifically request to commit those files
-  - Draft a concise (1-2 sentences) commit message that focuses on the "why" rather than the "what"
-  - Ensure it accurately reflects the changes and their purpose
-3. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following commands:
-   - Add relevant untracked files to the staging area.
-   - Create the commit with a message
-   - Run git status after the commit completes to verify success.
-   Note: git status depends on the commit completing, so run it sequentially after the commit.
-4. If the commit fails due to pre-commit hook, fix the issue and create a NEW commit (see amend rules above)
-
-Important notes:
- NEVER run additional commands to read or explore code, besides ${gitCommandRestriction}
- NEVER use the TodoWrite or Task tools
- DO NOT push to the remote repository unless the user explicitly asks you to do so
- IMPORTANT: Never use git commands with the -i flag (like git rebase -i or git add -i) since they require interactive input which is not supported.
- If there are no changes to commit (i.e., no untracked files and no modifications), do not create an empty commit
-
-# Creating pull requests
-Use the gh command via the ${toolName} tool for ALL GitHub-related tasks including working with issues, pull requests, checks, and releases. If given a GitHub URL use the gh command to get the information needed.
-
-IMPORTANT: When the user asks you to create a pull request, follow these steps carefully:
-
-1. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following ${gitCommands} in parallel using the ${toolName} tool, in order to understand the current state of the branch since it diverged from the main branch:
-   - Run a git status command to see all untracked files
-   - Run a git diff command to see both staged and unstaged changes that will be committed
-   - Check if the current branch tracks a remote branch and is up to date with the remote, so you know if you need to push to the remote
-   - Run a git log command and `git diff [base-branch]...HEAD` to understand the full commit history for the current branch (from the time it diverged from the base branch)
-2. Analyze all changes that will be included in the pull request, making sure to look at all relevant commits (NOT just the latest commit, but ALL commits that will be included in the pull request!!!), and draft a pull request summary
-3. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following commands in parallel:
-   - Create new branch if needed
-   - Push to remote with -u flag if needed
-   - ${createPrInstruction}
-<example>
-${createPrExample}
-</example>
-
-Important:
- DO NOT use the TodoWrite or Task tools
- Return the PR URL when you're done, so the user can see it
-
-# Other common operations
- View comments on a GitHub PR: gh api repos/foo/bar/pulls/123/comments
+# Git and GitHub
+- Only commit, amend, push, or create PRs when explicitly requested.
+- Before committing, inspect `git status`, `git diff`, and `git log --oneline -10`; stage only intended files and never commit secrets.
+- Write a concise commit message that matches the repo style.
+- Do not update git config, skip hooks, use interactive `-i`, force-push, or create empty commits unless explicitly requested.
+- If a commit fails or hooks reject it, fix the issue and create a new commit; do not amend the failed commit.
+- Before creating a PR, inspect status, diff, remote tracking, recent commits, and the diff from the base branch.
+- Review all commits included in the PR, not just the latest commit.
+- Use `gh` for GitHub tasks, including PRs, issues, checks, and releases; return the PR URL when done.
@@ -2,14 +2,11 @@ Launch a new agent to handle complex, multistep tasks autonomously.

 When using the Task tool, you must specify a subagent_type parameter to select which agent type to use.

-When to use the Task tool:
- When you are instructed to execute custom slash commands. Use the Task tool with the slash command invocation as the entire prompt. The slash command can take arguments. For example: Task(description="Check the file", prompt="/check-file path/to/file.py")
-
 When NOT to use the Task tool:
 - If you want to read a specific file path, use the Read or Glob tool instead of the Task tool, to find the match more quickly
- If you are searching for a specific class definition like "class Foo", use the Glob tool instead, to find the match more quickly
+- If you are searching for a specific class definition like "class Foo", use the Grep tool instead, to find the match more quickly
 - If you are searching for code within a specific file or set of 2-3 files, use the Read tool instead of the Task tool, to find the match more quickly
- Other tasks that are not related to the agent descriptions above
+- If no available agent is a good fit for the task, use other tools directly


 Usage notes:
@@ -20,39 +17,3 @@ Usage notes:
 5. The agent's outputs should generally be trusted
 6. Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user's intent. Tell it how to verify its work if possible (e.g., relevant test commands).
 7. If the agent description mentions that it should be used proactively, then you should try your best to use it without the user having to ask for it first. Use your judgement.
-
-Example usage (NOTE: The agents below are fictional examples for illustration only - use the actual agents listed above):
-
-<example_agent_descriptions>
-"code-reviewer": use this agent after you are done writing a significant piece of code
-"greeting-responder": use this agent when to respond to user greetings with a friendly joke
-</example_agent_description>
-
-<example>
-user: "Please write a function that checks if a number is prime"
-assistant: Sure let me write a function that checks if a number is prime
-assistant: First let me use the Write tool to write a function that checks if a number is prime
-assistant: I'm going to use the Write tool to write the following code:
-<code>
-function isPrime(n) {
-  if (n <= 1) return false
-  for (let i = 2; i * i <= n; i++) {
-    if (n % i === 0) return false
-  }
-  return true
-}
-</code>
-<commentary>
-Since a significant piece of code was written and the task was completed, now use the code-reviewer agent to review the code
-</commentary>
-assistant: Now let me use the code-reviewer agent to review the code
-assistant: Uses the Task tool to launch the code-reviewer agent
-</example>
-
-<example>
-user: "Hello"
-<commentary>
-Since the user is greeting, use the greeting-responder agent to respond with a friendly joke
-</commentary>
-assistant: "I'm going to use the Task tool to launch the with the greeting-responder agent"
-</example>
@@ -1,167 +1,44 @@
-Use this tool to create and manage a structured task list for your current coding session. This helps you track progress, organize complex tasks, and demonstrate thoroughness to the user.
-It also helps the user understand the progress of the task and overall progress of their requests.
+Create and maintain a structured task list for the current coding session. Tracks progress, organizes multi-step work, and surfaces status to the user.

-## When to Use This Tool
-Use this tool proactively in these scenarios:
+## When to use
+Use proactively when:
+- The task requires 3+ distinct steps or actions (not just 3 tool calls for a single conceptual step)
+- The work is non-trivial and benefits from planning
+- The user provides multiple tasks (numbered or comma-separated) or explicitly asks for a todo list
+- New instructions arrive - capture them as todos
+- You start a task - mark it `in_progress` (only one at a time) before working
+- You finish a task - mark it `completed` and add any follow-ups discovered during the work

-1. Complex multistep tasks - When a task requires 3 or more distinct steps or actions
-2. Non-trivial and complex tasks - Tasks that require careful planning or multiple operations
-3. User explicitly requests todo list - When the user directly asks you to use the todo list
-4. User provides multiple tasks - When users provide a list of things to be done (numbered or comma-separated)
-5. After receiving new instructions - Immediately capture user requirements as todos. Feel free to edit the todo list based on new information.
-6. After completing a task - Mark it complete and add any new follow-up tasks
-7. When you start working on a new task, mark the todo as in_progress. Ideally you should only have one todo as in_progress at a time. Complete existing tasks before starting new ones.
+## When NOT to use
+Skip when:
+- The work is a single, straightforward task (or <3 trivial steps)
+- The request is purely informational or conversational
+- Tracking adds no organizational value

-## When NOT to Use This Tool
+## States
+- `pending` - not started
+- `in_progress` - actively working (exactly ONE at a time)
+- `completed` - finished successfully
+- `cancelled` - no longer needed

-Skip using this tool when:
-1. There is only a single, straightforward task
-2. The task is trivial and tracking it provides no organizational benefit
-3. The task can be completed in less than 3 trivial steps
-4. The task is purely conversational or informational
+## Rules
+- Update status in real time; don't batch completions
+- Mark `completed` only after the required work is actually done, including any required verification. Never based on intent.
+- Keep exactly one `in_progress` while work remains
+- If blocked or partial, keep it `in_progress` and add a follow-up todo describing the blocker
+- Preserve user-provided commands verbatim (flags, args, order)
+- Items should be specific and actionable; break large work into smaller steps

-NOTE that you should not use this tool if there is only one trivial task to do. In this case you are better off just doing the task directly.
+## Examples

-## Examples of When to Use the Todo List
+Use it:
+- "Add a dark mode toggle and run the tests" -> multi-step feature + explicit verification
+- "Rename getCwd -> getCurrentWorkingDirectory across the repo" -> grep reveals 15 occurrences in 8 files
+- "Implement registration, catalog, cart, checkout" -> multiple complex features

-<example>
-User: I want to add a dark mode toggle to the application settings. Make sure you run the tests and build when you're done!
-Assistant: I'll help add a dark mode toggle to your application settings. Let me create a todo list to track this implementation.
-*Creates todo list with the following items:*
-1. Create dark mode toggle component in Settings page
-2. Add dark mode state management (context/store)
-3. Implement CSS-in-JS styles for dark theme
-4. Update existing components to support theme switching
-5. Run tests and build process, addressing any failures or errors that occur
-*Begins working on the first task*
-
-<reasoning>
-The assistant used the todo list because:
-1. Adding dark mode is a multi-step feature requiring UI, state management, and styling changes
-2. The user explicitly requested tests and build be run afterward
-3. The assistant inferred that tests and build need to pass by adding "Ensure tests and build succeed" as the final task
-</reasoning>
-</example>
-
-<example>
-User: Help me rename the function getCwd to getCurrentWorkingDirectory across my project
-Assistant: Let me first search through your codebase to find all occurrences of 'getCwd'.
-*Uses grep or search tools to locate all instances of getCwd in the codebase*
-Assistant: I've found 15 instances of 'getCwd' across 8 different files. Let me create a todo list to track these changes.
-*Creates todo list with specific items for each file that needs updating*
-
-<reasoning>
-The assistant used the todo list because:
-1. First, the assistant searched to understand the scope of the task
-2. Upon finding multiple occurrences across different files, it determined this was a complex task with multiple steps
-3. The todo list helps ensure every instance is tracked and updated systematically
-4. This approach prevents missing any occurrences and maintains code consistency
-</reasoning>
-</example>
-
-
-<example>
-User: I need to implement these features for my e-commerce site: user registration, product catalog, shopping cart, and checkout flow.
-Assistant: I'll help implement these features. First, let's add all the features to the todo list.
-*Creates a todo list breaking down each feature into specific tasks based on the project architecture*
-Assistant: Let's start with user registration. This will involve creating database models, API endpoints, and frontend forms that integrate with your existing authentication system.
-
-<reasoning>
-The assistant used the todo list because:
-1. The user provided multiple complex features to implement in a comma separated list
-2. The todo list helps organize these large features into manageable tasks
-3. This approach allows for tracking progress across the entire implementation
-</reasoning>
-</example>
-
-<example>
-User: Can you help optimize my React application? It's rendering slowly and has performance issues.</user>
-Assistant: I'll help optimize your React application. First, let me examine your codebase to identify potential performance bottlenecks.
-*Reviews component structure, render patterns, state management, and data fetching*
-Assistant: After analyzing your codebase, I've identified several performance issues. Let me create a todo list to track our optimization efforts.
-*Creates todo list with items like: 1) Implement memoization for expensive calculations in ProductList, 2) Add virtualization for long lists in Dashboard, 3) Optimize image loading in Gallery component, 4) Fix state update loops in ShoppingCart, 5) Review bundle size and implement code splitting*
-Let's start by implementing memoization for the expensive calculations in your ProductList component.</assistant>
-
-<reasoning>
-The assistant used the todo list because:
-1. First, the assistant examined the codebase to identify specific performance issues
-2. Based on this analysis, it identified multiple optimization opportunities
-3. Performance optimization is a non-trivial task requiring multiple steps
-4. The todo list helps methodically track improvements across different components
-5. This systematic approach ensures all performance bottlenecks are addressed
-</reasoning>
-</example>
-
-## Examples of When NOT to Use the Todo List
-
-<example>
-User: How do I print 'Hello World' in Python?
-Assistant: In Python, you can print "Hello World" with this simple code:
-
-python
-print("Hello World")
-
-This will output the text "Hello World" to the console when executed.</assistant>
-
-<reasoning>
-The assistant did not use the todo list because this is a single, trivial task that can be completed in one step. There's no need to track multiple tasks or steps for such a straightforward request.
-</reasoning>
-</example>
-
-<example>
-User: What does the git status command do?
-Assistant: The git status command shows the current state of your working directory and staging area. It displays which changes have been staged, which haven't, and which files aren't being tracked by Git. This is a fundamental command for understanding the current state of your repository before making commits.
-
-<reasoning>
-The assistant did not use the todo list because this is an informational request with no actual coding task to complete. The user is simply asking for an explanation, not for the assistant to perform multiple steps or tasks.
-</reasoning>
-</example>
-
-<example>
-User: Can you add a comment to the calculateTotal function to explain what it does?
-Assistant: Sure, let me add a comment to the calculateTotal function to explain what it does.
-* Uses the Edit tool to add a comment to the calculateTotal function *
-
-<reasoning>
-The assistant did not use the todo list because this is a single, straightforward task confined to one location in the code. Adding a comment doesn't require tracking multiple steps or systematic organization.
-</reasoning>
-</example>
-
-<example>
-User: Run npm install for me and tell me what happens.
-Assistant: I'll run the npm install command for you.
-
-*Executes: npm install*
-
-The command completed successfully. Here's the output:
-[Output of npm install command]
-
-All dependencies have been installed according to your package.json file.
-
-<reasoning>
-The assistant did not use the todo list because this is a single command execution with immediate results. There are no multiple steps to track or organize, making the todo list unnecessary for this straightforward task.
-</reasoning>
-</example>
-
-## Task States and Management
-
-1. **Task States**: Use these states to track progress:
-   - pending: Task not yet started
-   - in_progress: Currently working on (limit to ONE task at a time)
-   - completed: Task finished successfully
-   - cancelled: Task no longer needed
-
-2. **Task Management**:
-   - Update task status in real-time as you work
-   - Mark tasks complete IMMEDIATELY after finishing (don't batch completions)
-   - Only have ONE task in_progress at any time
-   - Complete current tasks before starting new ones
-   - Cancel tasks that become irrelevant
-
-3. **Task Breakdown**:
-   - Create specific, actionable items
-   - Break complex tasks into smaller, manageable steps
-   - Use clear, descriptive task names
-
-When in doubt, use this tool. Being proactive with task management demonstrates attentiveness and ensures you complete all requirements successfully.
+Skip it:
+- "How do I print Hello World in Python?" -> informational
+- "Add a comment to calculateTotal" -> single edit
+- "Run npm install and tell me what happened" -> one command

+When in doubt, use it.
@@ -5,6 +5,7 @@
 */
 import { describe, expect, test } from "bun:test"
 import { aggregateFailures } from "@/cli/cmd/tui/context/aggregate-failures"
+import { ConfigError } from "@/config/error"

 describe("aggregateFailures", () => {
  test("returns null when every result is fulfilled", () => {
@@ -41,11 +42,48 @@ describe("aggregateFailures", () => {
    expect(err!.message).toContain("agents: boom")
  })

+  test("formats structured config errors hidden inside SDK error causes", () => {
+    const configError = new ConfigError.InvalidError({
+      path: "/tmp/opencode.json",
+      issues: [{ message: "Expected object", path: ["provider", "anthropic", "options"] }],
+    })
+    const err = aggregateFailures([
+      {
+        name: "config.get",
+        result: {
+          status: "rejected",
+          reason: new Error("ConfigInvalidError", {
+            cause: {
+              body: configError.toObject(),
+            },
+          }),
+        },
+      },
+    ])
+
+    expect(err!.message).toContain("config.get: Configuration is invalid at /tmp/opencode.json")
+    expect(err!.message).toContain("Expected object provider.anthropic.options")
+  })
+
+  test("deduplicates identical failure messages across startup requests", () => {
+    const reason = new Error("same config problem")
+    const err = aggregateFailures([
+      { name: "config.providers", result: { status: "rejected", reason } },
+      { name: "provider.list", result: { status: "rejected", reason } },
+      { name: "app.agents", result: { status: "rejected", reason } },
+      { name: "config.get", result: { status: "rejected", reason } },
+      { name: "project.sync", result: { status: "fulfilled", value: undefined } },
+    ])
+
+    expect(err!.message).toContain("4 of 5 requests failed: same config problem")
+    expect(err!.message).toContain("Affected startup requests: config.providers, provider.list, app.agents, config.get")
+    expect(err!.message.match(/same config problem/g)?.length).toBe(1)
+  })
+
  test("attaches structured failure list under .cause", () => {
    const reason = new Error("nope")
    const err = aggregateFailures([{ name: "providers", result: { status: "rejected", reason } }])
-    const cause = err!.cause as { failures: Array<{ name: string; reason: unknown }> }
-    expect(cause.failures).toEqual([{ name: "providers", reason }])
+    expect(err!.cause).toEqual({ failures: [{ name: "providers", reason }] })
  })

  test("falls back to String() for opaque reasons", () => {
@@ -0,0 +1,44 @@
+import { describe, expect, test } from "bun:test"
+import { isDuplicateEntry, type PromptInfo } from "../../../../src/cli/cmd/tui/component/prompt/history"
+
+const entry = (input: string, parts: PromptInfo["parts"] = []): PromptInfo => ({ input, parts })
+
+describe("prompt history dedupe", () => {
+  test("returns false when there is no previous entry", () => {
+    expect(isDuplicateEntry(undefined, entry("hello"))).toBe(false)
+  })
+
+  test("dedupes identical consecutive entries", () => {
+    const a = entry("hello world this is over twenty chars")
+    const b = entry("hello world this is over twenty chars")
+    expect(isDuplicateEntry(a, b)).toBe(true)
+  })
+
+  test("does not dedupe when input text differs", () => {
+    expect(isDuplicateEntry(entry("foo"), entry("bar"))).toBe(false)
+  })
+
+  test("does not dedupe when parts differ", () => {
+    const a = entry("describe this", [
+      {
+        type: "file",
+        mime: "image/png",
+        filename: "a.png",
+        url: "data:image/png;base64,AAA",
+      },
+    ])
+    const b = entry("describe this", [
+      {
+        type: "file",
+        mime: "image/png",
+        filename: "b.png",
+        url: "data:image/png;base64,BBB",
+      },
+    ])
+    expect(isDuplicateEntry(a, b)).toBe(false)
+  })
+
+  test("does not dedupe when mode differs", () => {
+    expect(isDuplicateEntry({ ...entry("ls"), mode: "normal" }, { ...entry("ls"), mode: "shell" })).toBe(false)
+  })
+})
@@ -1,6 +1,7 @@
 import { NodeHttpServer, NodeServices } from "@effect/platform-node"
 import { NamedError } from "@opencode-ai/core/util/error"
 import { describe, expect } from "bun:test"
+import { ConfigError } from "../../src/config/error"
 import { Effect, Layer } from "effect"
 import { HttpClient, HttpClientRequest, HttpRouter } from "effect/unstable/http"
 import { errorLayer } from "../../src/server/routes/instance/httpapi/middleware/error"
@@ -50,6 +51,27 @@ describe("HttpApi error middleware", () => {
    }),
  )

+  it.live("preserves config defects as client-visible bad requests", () =>
+    Effect.gen(function* () {
+      const configError = new ConfigError.InvalidError({
+        path: "/tmp/opencode.json",
+        issues: [{ message: "Expected object", path: ["provider", "anthropic", "options"] }],
+      })
+
+      yield* HttpRouter.add("GET", "/config-error", Effect.die(configError)).pipe(
+        Layer.provide(errorLayer),
+        HttpRouter.serve,
+        Layer.build,
+      )
+
+      const response = yield* HttpClientRequest.get("/config-error").pipe(HttpClient.execute)
+      const body = yield* response.json
+
+      expect(response.status).toBe(400)
+      expect(JSON.stringify(body)).toBe(JSON.stringify(configError.toObject()))
+    }),
+  )
+
  it.live("does not map storage not-found defects to 404", () =>
    Effect.gen(function* () {
      yield* HttpRouter.add(
@@ -13,7 +13,10 @@ import { RuntimeFlags } from "@/effect/runtime-flags"

 const it = testEffect(
  Layer.mergeAll(
-    SyncEvent.layer.pipe(Layer.provide(RuntimeFlags.layer({ experimentalWorkspaces: true }))),
+    SyncEvent.layer.pipe(
+      Layer.provide(RuntimeFlags.layer({ experimentalWorkspaces: true })),
+      Layer.provideMerge(Bus.layer),
+    ),
    CrossSpawnSpawner.defaultLayer,
  ),
 )
@@ -114,7 +117,8 @@ describe("SyncEvent", () => {
          const received = new Promise<void>((done) => {
            resolve = done
          })
-          const dispose = Bus.subscribeAll((event) => {
+          const bus = yield* Bus.Service
+          const dispose = yield* bus.subscribeAllCallback((event) => {
            events.push(event)
            resolve()
          })
@@ -1,5 +1,5 @@
 import { afterEach, describe, expect } from "bun:test"
-import { Cause, Effect, Exit, Layer } from "effect"
+import { Cause, Effect, Exit, Layer, Stream } from "effect"
 import path from "path"
 import { Agent } from "../../src/agent/agent"
 import { CrossSpawnSpawner } from "@opencode-ai/core/cross-spawn-spawner"
@@ -366,6 +366,38 @@ describe("tool.read truncation", () => {
    }),
  )

+  it.instance("stops streaming after the byte cap", () =>
+    Effect.gen(function* () {
+      const test = yield* TestInstance
+      const filepath = path.join(test.directory, "huge.txt")
+      const content = `${"x".repeat(80)}\n`.repeat(50_000)
+      yield* put(filepath, content)
+
+      const fs = yield* AppFileSystem.Service
+      const counter = { bytes: 0 }
+      const result = yield* run({ filePath: filepath }).pipe(
+        Effect.provideService(
+          AppFileSystem.Service,
+          AppFileSystem.Service.of({
+            ...fs,
+            stream: (file, options) =>
+              fs.stream(file, options).pipe(
+                Stream.tap((chunk) =>
+                  Effect.sync(() => {
+                    counter.bytes += chunk.length
+                  }),
+                ),
+              ),
+          }),
+        ),
+      )
+
+      expect(result.metadata.truncated).toBe(true)
+      expect(result.output).toContain("Output capped at")
+      expect(counter.bytes).toBeLessThan(Buffer.byteLength(content, "utf-8") / 2)
+    }),
+  )
+
  it.instance("truncates by line count when limit is specified", () =>
    Effect.gen(function* () {
      const test = yield* TestInstance
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/plugin",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -22,9 +22,9 @@
    "zod": "catalog:"
  },
  "peerDependencies": {
-    "@opentui/core": ">=0.2.10",
-    "@opentui/keymap": ">=0.2.10",
-    "@opentui/solid": ">=0.2.10"
+    "@opentui/core": ">=0.2.11",
+    "@opentui/keymap": ">=0.2.11",
+    "@opentui/solid": ">=0.2.11"
  },
  "peerDependenciesMeta": {
    "@opentui/core": {
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/sdk",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/slack",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/ui",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "type": "module",
  "license": "MIT",
  "exports": {
@@ -2,7 +2,7 @@
  "name": "@opencode-ai/web",
  "type": "module",
  "license": "MIT",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "scripts": {
    "dev": "astro dev",
    "dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
@@ -98,7 +98,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.
@@ -124,7 +123,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free    | Free    | Free            | -               |
 | DeepSeek V4 Flash Free            | Free    | Free    | Free            | -               |
 | MiniMax M2.5 Free                 | Free    | Free    | Free            | -               |
-| Ring 2.6 1T Free                  | Free    | Free    | Free            | -               |
 | Nemotron 3 Super Free             | Free    | Free    | Free            | -               |
 | MiniMax M2.7                      | $0.30   | $1.20   | $0.06           | $0.375          |
 | MiniMax M2.5                      | $0.30   | $1.20   | $0.06           | $0.375          |
@@ -177,7 +175,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
 - MiniMax M2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- Ring 2.6 1T Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
 - Nemotron 3 Super Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
 - Big Pickle نموذج خفي ومتاح مجانا على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.

@@ -230,7 +227,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
 - DeepSeek V4 Flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
 - MiniMax M2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- Ring 2.6 1T Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
 - Nemotron 3 Super Free (نقاط نهاية NVIDIA المجانية): يُقدَّم بموجب [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). للاستخدام التجريبي فقط، وليس للإنتاج أو البيانات الحساسة. تقوم NVIDIA بتسجيل المطالبات والمخرجات لتحسين نماذجها وخدماتها. لا ترسل بيانات شخصية أو سرية.
 - OpenAI APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -103,7 +103,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 [model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
@@ -131,7 +130,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -184,7 +182,6 @@ Besplatni modeli:

 - DeepSeek V4 Flash Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
 - MiniMax M2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- Ring 2.6 1T Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
 - Nemotron 3 Super Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
 - Big Pickle je stealth model koji je besplatan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.

@@ -242,7 +239,6 @@ i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
 - Big Pickle: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
 - DeepSeek V4 Flash Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
 - MiniMax M2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- Ring 2.6 1T Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
 - Nemotron 3 Super Free (besplatni NVIDIA endpointi): Dostupan je prema [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Samo za probnu upotrebu, nije za produkciju niti osjetljive podatke. NVIDIA bilježi promptove i izlaze radi poboljšanja svojih modela i usluga. Nemojte slati lične ili povjerljive podatke.
 - OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -103,7 +103,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 [model id](/docs/config/#models) i din OpenCode-konfiguration
@@ -131,7 +130,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -184,7 +182,6 @@ De gratis modeller:

 - DeepSeek V4 Flash Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
 - MiniMax M2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- Ring 2.6 1T Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
 - Nemotron 3 Super Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
 - Big Pickle er en stealth-model, som er gratis på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.

@@ -240,7 +237,6 @@ Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspoliti
 - Big Pickle: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
 - DeepSeek V4 Flash Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
 - MiniMax M2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- Ring 2.6 1T Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
 - Nemotron 3 Super Free (gratis NVIDIA-endpoints): Leveres under [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Kun til prøvebrug, ikke til produktion eller følsomme data. Prompts og outputs logges af NVIDIA for at forbedre deres modeller og tjenester. Indsend ikke personlige eller fortrolige data.
 - OpenAI APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -94,7 +94,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.5 würdest du zum Beispiel `opencode/gpt-5.5` in deiner Konfiguration verwenden.
@@ -120,7 +119,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -173,7 +171,6 @@ Die kostenlosen Modelle:

 - DeepSeek V4 Flash Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
 - MiniMax M2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- Ring 2.6 1T Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
 - Nemotron 3 Super Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
 - Big Pickle ist ein Stealth-Modell, das für begrenzte Zeit kostenlos auf OpenCode verfügbar ist. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.

@@ -226,7 +223,6 @@ Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zer
 - Big Pickle: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
 - DeepSeek V4 Flash Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
 - MiniMax M2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- Ring 2.6 1T Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
 - Nemotron 3 Super Free (kostenlose NVIDIA-Endpunkte): Bereitgestellt gemäß den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Nur für Testzwecke, nicht für Produktion oder sensible Daten. Eingaben und Ausgaben werden von NVIDIA protokolliert, um seine Modelle und Dienste zu verbessern. Übermitteln Sie keine personenbezogenen oder vertraulichen Daten.
 - OpenAI APIs: Anfragen werden in Übereinstimmung mit [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 30 Tage lang gespeichert.
 - Anthropic APIs: Anfragen werden in Übereinstimmung mit [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 30 Tage lang gespeichert.
@@ -103,7 +103,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
@@ -131,7 +130,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
 | Big Pickle                        | Free    | Free    | Free             | -                  |
 | DeepSeek V4 Flash Free            | Free    | Free    | Free             | -                  |
 | MiniMax M2.5 Free                 | Free    | Free    | Free             | -                  |
-| Ring 2.6 1T Free                  | Free    | Free    | Free             | -                  |
 | Nemotron 3 Super Free             | Free    | Free    | Free             | -                  |
 | MiniMax M2.7                      | $0.30   | $1.20   | $0.06            | $0.375             |
 | MiniMax M2.5                      | $0.30   | $1.20   | $0.06            | $0.375             |
@@ -184,7 +182,6 @@ Los modelos gratuitos:

 - DeepSeek V4 Flash Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
 - MiniMax M2.5 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- Ring 2.6 1T Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
 - Nemotron 3 Super Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
 - Big Pickle es un modelo stealth que es gratuito en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.

@@ -240,7 +237,6 @@ Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una po
 - Big Pickle: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
 - DeepSeek V4 Flash Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
 - MiniMax M2.5 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- Ring 2.6 1T Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
 - Nemotron 3 Super Free (endpoints gratuitos de NVIDIA): Se ofrece bajo los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Solo para uso de prueba, no para producción ni datos sensibles. NVIDIA registra los prompts y las salidas para mejorar sus modelos y servicios. No envíes datos personales ni confidenciales.
 - OpenAI APIs: Las solicitudes se conservan durante 30 días de acuerdo con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: Las solicitudes se conservan durante 30 días de acuerdo con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -94,7 +94,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.5, vous utiliseriez `opencode/gpt-5.5` dans votre configuration.
@@ -120,7 +119,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -173,7 +171,6 @@ Les modèles gratuits :

 - DeepSeek V4 Flash Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
 - MiniMax M2.5 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- Ring 2.6 1T Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
 - Nemotron 3 Super Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
 - Big Pickle est un modèle stealth gratuit sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.

@@ -226,7 +223,6 @@ Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique
 - Big Pickle : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
 - DeepSeek V4 Flash Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
 - MiniMax M2.5 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- Ring 2.6 1T Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
 - Nemotron 3 Super Free (endpoints NVIDIA gratuits) : Fourni dans le cadre des [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Réservé à un usage d'essai, pas à la production ni aux données sensibles. Les prompts et les sorties sont journalisés par NVIDIA pour améliorer ses modèles et services. N'envoyez pas de données personnelles ou confidentielles.
 - OpenAI APIs : Les requêtes sont conservées pendant 30 jours conformément à [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs : Les requêtes sont conservées pendant 30 jours conformément à [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -103,7 +103,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 Il [model id](/docs/config/#models) nella config di OpenCode
@@ -131,7 +130,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -184,7 +182,6 @@ I modelli gratuiti:

 - DeepSeek V4 Flash Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
 - MiniMax M2.5 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- Ring 2.6 1T Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
 - Nemotron 3 Super Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
 - Big Pickle è un modello stealth che è gratuito su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.

@@ -240,7 +237,6 @@ Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una pol
 - Big Pickle: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
 - DeepSeek V4 Flash Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
 - MiniMax M2.5 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- Ring 2.6 1T Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
 - Nemotron 3 Super Free (endpoint NVIDIA gratuiti): fornito secondo i [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Solo per uso di prova, non per produzione o dati sensibili. NVIDIA registra prompt e output per migliorare i propri modelli e servizi. Non inviare dati personali o riservati.
 - OpenAI APIs: le richieste vengono conservate per 30 giorni in conformità con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: le richieste vengono conservate per 30 giorni in conformità con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -94,7 +94,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.5 では設定に `opencode/gpt-5.5` を使用します。
@@ -120,7 +119,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -173,7 +171,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
 - MiniMax M2.5 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- Ring 2.6 1T Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
 - Nemotron 3 Super Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
 - Big Pickle はステルスモデルで、期間限定で OpenCode で無料提供されています。チームはこの期間中にフィードバックを集め、モデルを改善しています。

@@ -226,7 +223,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
 - DeepSeek V4 Flash Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
 - MiniMax M2.5 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- Ring 2.6 1T Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
 - Nemotron 3 Super Free（NVIDIA の無料エンドポイント）: [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に基づいて提供されます。試用専用であり、本番環境や機密性の高いデータには使用しないでください。プロンプトと出力は、NVIDIA が自社のモデルとサービスを改善するために記録します。個人情報や機密データは送信しないでください。
 - OpenAI APIs: リクエストは [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) に従って 30 日間保持されます。
 - Anthropic APIs: リクエストは [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) に従って 30 日間保持されます。
@@ -94,7 +94,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/<model-id>` 형식입니다. 예를 들어 GPT 5.5를 사용하려면 config에서 `opencode/gpt-5.5`를 사용하면 됩니다.
@@ -120,7 +119,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -173,7 +171,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
 - MiniMax M2.5 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- Ring 2.6 1T Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
 - Nemotron 3 Super Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
 - Big Pickle은 한정된 기간 동안 OpenCode에서 무료로 제공되는 stealth model입니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.

@@ -226,7 +223,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
 - DeepSeek V4 Flash Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
 - MiniMax M2.5 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- Ring 2.6 1T Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
 - Nemotron 3 Super Free(NVIDIA 무료 엔드포인트): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)에 따라 제공됩니다. 평가판 전용이며 프로덕션 환경이나 민감한 데이터에는 사용할 수 없습니다. NVIDIA는 자사 모델과 서비스를 개선하기 위해 프롬프트와 출력을 기록합니다. 개인 정보나 기밀 데이터는 제출하지 마세요.
 - OpenAI APIs: 요청은 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data)에 따라 30일 동안 보관됩니다.
 - Anthropic APIs: 요청은 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage)에 따라 30일 동안 보관됩니다.
@@ -103,7 +103,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 [modell-id](/docs/config/#models) i OpenCode-konfigurasjonen din
@@ -131,7 +130,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
 | Big Pickle                        | Free    | Free    | Free          | -               |
 | DeepSeek V4 Flash Free            | Free    | Free    | Free          | -               |
 | MiniMax M2.5 Free                 | Free    | Free    | Free          | -               |
-| Ring 2.6 1T Free                  | Free    | Free    | Free          | -               |
 | Nemotron 3 Super Free             | Free    | Free    | Free          | -               |
 | MiniMax M2.7                      | $0.30   | $1.20   | $0.06         | $0.375          |
 | MiniMax M2.5                      | $0.30   | $1.20   | $0.06         | $0.375          |
@@ -184,7 +182,6 @@ Gratis-modellene:

 - DeepSeek V4 Flash Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
 - MiniMax M2.5 Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- Ring 2.6 1T Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
 - Nemotron 3 Super Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
 - Big Pickle er en stealth-modell som er gratis på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.

@@ -240,7 +237,6 @@ Alle modellene våre hostes i US. Leverandørene våre følger en policy for zer
 - Big Pickle: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
 - DeepSeek V4 Flash Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
 - MiniMax M2.5 Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- Ring 2.6 1T Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
 - Nemotron 3 Super Free (gratis NVIDIA-endepunkter): Leveres under [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Kun for prøvebruk, ikke for produksjon eller sensitive data. Prompter og svar logges av NVIDIA for å forbedre modellene og tjenestene deres. Ikke send inn personopplysninger eller konfidensielle data.
 - OpenAI APIs: Forespørsler lagres i 30 dager i samsvar med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: Forespørsler lagres i 30 dager i samsvar med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -103,7 +103,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 [ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode używa formatu
@@ -131,7 +130,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
 | Big Pickle                        | Free    | Free    | Free           | -              |
 | DeepSeek V4 Flash Free            | Free    | Free    | Free           | -              |
 | MiniMax M2.5 Free                 | Free    | Free    | Free           | -              |
-| Ring 2.6 1T Free                  | Free    | Free    | Free           | -              |
 | Nemotron 3 Super Free             | Free    | Free    | Free           | -              |
 | MiniMax M2.7                      | $0.30   | $1.20   | $0.06          | $0.375         |
 | MiniMax M2.5                      | $0.30   | $1.20   | $0.06          | $0.375         |
@@ -185,7 +183,6 @@ Darmowe modele:

 - DeepSeek V4 Flash Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
 - MiniMax M2.5 Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- Ring 2.6 1T Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
 - Nemotron 3 Super Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
 - Big Pickle to stealth model, który jest darmowy w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.

@@ -241,7 +238,6 @@ Wszystkie nasze modele są hostowane w US. Nasi dostawcy stosują politykę zero
 - Big Pickle: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
 - DeepSeek V4 Flash Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
 - MiniMax M2.5 Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- Ring 2.6 1T Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
 - Nemotron 3 Super Free (darmowe endpointy NVIDIA): Udostępniany zgodnie z [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Tylko do użytku próbnego, nie do produkcji ani danych wrażliwych. NVIDIA rejestruje prompty i odpowiedzi, aby ulepszać swoje modele i usługi. Nie przesyłaj danych osobowych ani poufnych.
 - OpenAI APIs: Żądania są przechowywane przez 30 dni zgodnie z [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: Żądania są przechowywane przez 30 dni zgodnie z [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -94,7 +94,6 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 O [model id](/docs/config/#models) na sua configuração do OpenCode usa o formato `opencode/<model-id>`. Por exemplo, para GPT 5.5, você usaria `opencode/gpt-5.5` na sua configuração.
@@ -120,7 +119,6 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
 | Big Pickle                        | Free    | Free    | Free             | -                |
 | DeepSeek V4 Flash Free            | Free    | Free    | Free             | -                |
 | MiniMax M2.5 Free                 | Free    | Free    | Free             | -                |
-| Ring 2.6 1T Free                  | Free    | Free    | Free             | -                |
 | Nemotron 3 Super Free             | Free    | Free    | Free             | -                |
 | MiniMax M2.7                      | $0.30   | $1.20   | $0.06            | $0.375           |
 | MiniMax M2.5                      | $0.30   | $1.20   | $0.06            | $0.375           |
@@ -173,7 +171,6 @@ Os modelos gratuitos:

 - DeepSeek V4 Flash Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
 - MiniMax M2.5 Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- Ring 2.6 1T Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
 - Nemotron 3 Super Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
 - Big Pickle é um modelo stealth que está gratuito no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.

@@ -226,7 +223,6 @@ Todos os nossos modelos são hospedados nos US. Nossos provedores seguem uma pol
 - Big Pickle: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
 - DeepSeek V4 Flash Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
 - MiniMax M2.5 Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- Ring 2.6 1T Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
 - Nemotron 3 Super Free (endpoints gratuitos da NVIDIA): Fornecido sob os [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Apenas para uso de avaliação, não para produção nem dados sensíveis. A NVIDIA registra prompts e saídas para melhorar seus modelos e serviços. Não envie dados pessoais ou confidenciais.
 - OpenAI APIs: As solicitações são retidas por 30 dias de acordo com [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: As solicitações são retidas por 30 dias de acordo com [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -103,7 +103,6 @@ OpenCode Zen работает как любой другой провайдер
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 [идентификатор модели](/docs/config/#models) в вашей конфигурации OpenCode
@@ -131,7 +130,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -184,7 +182,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
 - MiniMax M2.5 Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- Ring 2.6 1T Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
 - Nemotron 3 Super Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
 - Big Pickle — это скрытая модель, которая доступна бесплатно в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.

@@ -240,7 +237,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
 - DeepSeek V4 Flash Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
 - MiniMax M2.5 Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- Ring 2.6 1T Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
 - Nemotron 3 Super Free (бесплатные эндпоинты NVIDIA): предоставляется в соответствии с [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Только для пробного использования, не для продакшена и не для чувствительных данных. NVIDIA логирует запросы и ответы, чтобы улучшать свои модели и сервисы. Не отправляйте персональные или конфиденциальные данные.
 - OpenAI APIs: запросы хранятся 30 дней в соответствии с [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: запросы хранятся 30 дней в соответствии с [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -96,7 +96,6 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 [model id](/docs/config/#models) ใน OpenCode config ของคุณใช้รูปแบบ `opencode/<model-id>` ตัวอย่างเช่น สำหรับ GPT 5.5 คุณจะใช้ `opencode/gpt-5.5` ใน config ของคุณ
@@ -122,7 +121,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -175,7 +173,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
 - MiniMax M2.5 Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- Ring 2.6 1T Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
 - Nemotron 3 Super Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
 - Big Pickle เป็น stealth model ที่ใช้งานฟรีบน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล

@@ -228,7 +225,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
 - DeepSeek V4 Flash Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
 - MiniMax M2.5 Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- Ring 2.6 1T Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
 - Nemotron 3 Super Free (endpoint ฟรีของ NVIDIA): ให้บริการภายใต้ [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) ใช้สำหรับการทดลองเท่านั้น ไม่เหมาะสำหรับ production หรือข้อมูลที่อ่อนไหว NVIDIA จะบันทึก prompt และ output เพื่อนำไปปรับปรุงโมเดลและบริการของตน โปรดอย่าส่งข้อมูลส่วนบุคคลหรือข้อมูลลับ.
 - OpenAI APIs: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -94,7 +94,6 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 OpenCode yapılandırmanızdaki [model id](/docs/config/#models) `opencode/<model-id>` biçimini kullanır. Örneğin, GPT 5.5 için yapılandırmanızda `opencode/gpt-5.5` kullanırsınız.
@@ -120,7 +119,6 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -173,7 +171,6 @@ Kredi kartı ücretleri maliyet üzerinden yansıtılır (%4.4 + işlem başına

 - DeepSeek V4 Flash Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
 - MiniMax M2.5 Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- Ring 2.6 1T Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
 - Nemotron 3 Super Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
 - Big Pickle, sınırlı bir süre için OpenCode'da ücretsiz olan gizli bir modeldir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.

@@ -226,7 +223,6 @@ Tüm modellerimiz US'de barındırılıyor. Sağlayıcılarımız zero-retention
 - Big Pickle: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
 - DeepSeek V4 Flash Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
 - MiniMax M2.5 Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- Ring 2.6 1T Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
 - Nemotron 3 Super Free (ücretsiz NVIDIA uç noktaları): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) kapsamında sunulur. Yalnızca deneme amaçlıdır; üretim veya hassas veriler için uygun değildir. NVIDIA, modellerini ve hizmetlerini geliştirmek için promptları ve çıktıları kaydeder. Kişisel veya gizli veri göndermeyin.
 - OpenAI APIs: İstekler [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) uyarınca 30 gün boyunca saklanır.
 - Anthropic APIs: İstekler [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) uyarınca 30 gün boyunca saklanır.
@@ -103,7 +103,6 @@ You can also access our models through the following API endpoints.
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 The [model id](/docs/config/#models) in your OpenCode config
@@ -131,7 +130,6 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
 | Big Pickle                        | Free   | Free    | Free        | -            |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free        | -            |
 | MiniMax M2.5 Free                 | Free   | Free    | Free        | -            |
-| Ring 2.6 1T Free                  | Free   | Free    | Free        | -            |
 | Nemotron 3 Super Free             | Free   | Free    | Free        | -            |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06       | $0.375       |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06       | $0.375       |
@@ -184,7 +182,6 @@ The free models:

 - DeepSeek V4 Flash Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
 - MiniMax M2.5 Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
- Ring 2.6 1T Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
 - Nemotron 3 Super Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
 - Big Pickle is a stealth model that's free on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.

@@ -240,7 +237,6 @@ All our models are hosted in the US. Our providers follow a zero-retention polic
 - Big Pickle: During its free period, collected data may be used to improve the model.
 - DeepSeek V4 Flash Free: During its free period, collected data may be used to improve the model.
 - MiniMax M2.5 Free: During its free period, collected data may be used to improve the model.
- Ring 2.6 1T Free: During its free period, collected data may be used to improve the model.
 - Nemotron 3 Super Free (NVIDIA free endpoints): Provided under the [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Trial use only — not for production or sensitive data. Prompts and outputs are logged by NVIDIA to improve its models and services. Do not submit personal or confidential data.
 - OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
 - Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
@@ -94,7 +94,6 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 在你的 OpenCode 配置中，[模型 ID](/docs/config/#models) 使用 `opencode/<model-id>` 格式。例如，对于 GPT 5.5，你需要在配置中使用 `opencode/gpt-5.5`。
@@ -120,7 +119,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free   | Free    | Free     | -        |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free     | -        |
 | MiniMax M2.5 Free                 | Free   | Free    | Free     | -        |
-| Ring 2.6 1T Free                  | Free   | Free    | Free     | -        |
 | Nemotron 3 Super Free             | Free   | Free    | Free     | -        |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06    | $0.375   |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06    | $0.375   |
@@ -173,7 +171,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
 - MiniMax M2.5 Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- Ring 2.6 1T Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
 - Nemotron 3 Super Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
 - Big Pickle 是一个隐身模型，目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。

@@ -226,7 +223,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle：在免费期间，收集的数据可能会被用于改进模型。
 - DeepSeek V4 Flash Free：在免费期间，收集的数据可能会被用于改进模型。
 - MiniMax M2.5 Free：在免费期间，收集的数据可能会被用于改进模型。
- Ring 2.6 1T Free：在免费期间，收集的数据可能会被用于改进模型。
 - Nemotron 3 Super Free（NVIDIA 免费端点）：根据 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) 提供。仅供试用，不适用于生产环境或敏感数据。NVIDIA 会记录提示词和输出内容，以改进其模型和服务。请勿提交个人或机密数据。
 - OpenAI APIs：请求会根据 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 保留 30 天。
 - Anthropic APIs：请求会根据 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 保留 30 天。
@@ -98,7 +98,6 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
 | Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
-| Ring 2.6 1T            | ring-2.6-1t-free       | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |
 | Nemotron 3 Super Free  | nemotron-3-super-free  | `https://opencode.ai/zen/v1/chat/completions`      | `@ai-sdk/openai-compatible` |

 OpenCode 設定中的 [模型 ID](/docs/config/#models) 會使用 `opencode/<model-id>`
@@ -125,7 +124,6 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free   | Free    | Free     | -        |
 | DeepSeek V4 Flash Free            | Free   | Free    | Free     | -        |
 | MiniMax M2.5 Free                 | Free   | Free    | Free     | -        |
-| Ring 2.6 1T Free                  | Free   | Free    | Free     | -        |
 | Nemotron 3 Super Free             | Free   | Free    | Free     | -        |
 | MiniMax M2.7                      | $0.30  | $1.20   | $0.06    | $0.375   |
 | MiniMax M2.5                      | $0.30  | $1.20   | $0.06    | $0.375   |
@@ -179,7 +177,6 @@ https://opencode.ai/zen/v1/models

 - DeepSeek V4 Flash Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
 - MiniMax M2.5 Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- Ring 2.6 1T Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
 - Nemotron 3 Super Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
 - Big Pickle 是一個隱身模型，在 OpenCode 上限時免費提供。團隊正在利用這段時間收集回饋並改進模型。

@@ -233,7 +230,6 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: 在免費期間，收集到的資料可能會用於改進模型。
 - DeepSeek V4 Flash Free: 在免費期間，收集到的資料可能會用於改進模型。
 - MiniMax M2.5 Free: 在免費期間，收集到的資料可能會用於改進模型。
- Ring 2.6 1T Free: 在免費期間，收集到的資料可能會用於改進模型。
 - Nemotron 3 Super Free（NVIDIA 免費端點）：依據 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) 提供。僅供試用，不適用於正式環境或敏感資料。NVIDIA 會記錄提示詞與輸出內容，以改進其模型與服務。請勿提交個人或機密資料。
 - OpenAI APIs: 請求會依據 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 保留 30 天。
 - Anthropic APIs: 請求會依據 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 保留 30 天。
@@ -2,7 +2,7 @@
  "name": "opencode",
  "displayName": "opencode",
  "description": "opencode for VS Code",
-  "version": "1.15.0",
+  "version": "1.15.3",
  "publisher": "sst-dev",
  "repository": {
    "type": "git",
Author	SHA1	Message	Date
opencode	37f89b7429	release: v1.15.3	2026-05-16 14:07:22 +00:00
opencode-agent[bot]	321db7a819	chore: generate	2026-05-16 13:27:23 +00:00
Dax Raad	6d2219e001	fix(cli): preserve instance context in async commands	2026-05-16 09:25:45 -04:00
opencode-agent[bot]	dd432e3cde	chore: generate	2026-05-16 13:21:57 +00:00
Dax Raad	77db212a0a	fix read stream byte cap	2026-05-16 09:20:35 -04:00
opencode	f56263791c	sync release versions for v1.15.2	2026-05-16 12:53:10 +00:00
Dax Raad	88363f1ed9	fixed issue in opencode run	2026-05-16 08:27:25 -04:00
Jack	c5db39f626	Remove Ring 2.6 1T from Zen docs (#27849 )	2026-05-16 17:55:32 +08:00
vimtor	b5aed287ca	chore: reduce alerts noise	2026-05-16 09:39:13 +02:00
Dax	53849bd866	fix(sync): publish events on injected project bus (#27825 )	2026-05-16 05:56:49 +00:00
opencode	e33912bfee	sync release versions for v1.15.1	2026-05-16 05:44:44 +00:00
Aiden Cline	548648a3d9	core: reduce prompts for shell, todowrite, and task tools (#26821 )	2026-05-16 00:18:47 -05:00
Caleb Norton	4643e13170	feat(nix): add opencode-electron derivation (#16163 )	2026-05-15 23:20:48 -05:00
Dax Raad	042e6a5c86	tui: newly pinned sessions now append to the end of the list instead of jumping to the top	2026-05-15 23:57:40 -04:00
Dax Raad	e36d6a0cbe	core: clarify postinstall error message when binary is missing Users installing with pnpm or --ignore-scripts now see a clear explanation of why the native binary is missing and exact steps to fix it. The shell script wrapper provides more actionable guidance than the previous Node.js fallback that only suggested running the postinstall script without context about why it wasn't run automatically.	2026-05-15 23:12:00 -04:00
Sebastian	cc9c0b15c7	Revert "add dialog prompt submit keybind (#27807 )" (#27815 )	2026-05-16 04:44:32 +02:00
Kit Langton	f3b0d3d7ac	fix(tui): dedupe consecutive prompt history entries (#27816 )	2026-05-16 02:36:35 +00:00
opencode-agent[bot]	764c6bc517	chore: update nix node_modules hashes	2026-05-16 01:20:56 +00:00
Sebastian	d441e931f9	add dialog prompt submit keybind (#27807 )	2026-05-16 03:11:46 +02:00
Sebastian	ad79ad9ea8	upgrade opentui to 0.2.11 (#27808 )	2026-05-16 03:05:54 +02:00
opencode-agent[bot]	d6b23fd8f6	chore: generate	2026-05-16 00:44:10 +00:00
Kit Langton	5911bd532d	fix(tui): show config error details on startup (#27803 )	2026-05-15 20:42:56 -04:00
Dax Raad	2385123f03	Fix thinking toggle defaults	2026-05-15 20:27:36 -04:00
Dax	09549661e1	Fix npm CLI binary installation (#27801 )	2026-05-15 18:43:37 -04:00