chore: format code

Migrate workflows to Blacksmith
log fetch time
2025-12-01 14:43:56 +00:00 · 2025-12-01 14:43:21 +00:00 · 2025-12-01 09:35:08 -05:00 · 2025-12-01 14:23:36 +00:00 · 2025-12-01 14:23:35 +00:00 · 2025-12-01 09:14:54 -05:00
84 changed files with 3544 additions and 128 deletions
@@ -6,7 +6,7 @@ on:

 jobs:
  auto-label:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    permissions:
      contents: read
      issues: write
@@ -11,7 +11,7 @@ concurrency: ${{ github.workflow }}-${{ github.ref }}

 jobs:
  deploy:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - uses: actions/checkout@v3

@@ -6,7 +6,7 @@ on:

 jobs:
  check-duplicates:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    permissions:
      contents: read
      issues: write
@@ -10,7 +10,7 @@ on:
  workflow_dispatch:
 jobs:
  format:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    permissions:
      contents: write
    steps:
@@ -6,7 +6,7 @@ on:

 jobs:
  notify:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - name: Send nicely-formatted embed to Discord
        uses: SethCohen/github-releases-to-discord@v1
@@ -13,7 +13,7 @@ jobs:
      startsWith(github.event.comment.body, '/oc') ||
      contains(github.event.comment.body, ' /opencode') ||
      startsWith(github.event.comment.body, '/opencode')
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    permissions:
      id-token: write
      contents: read
@@ -14,7 +14,7 @@ permissions:

 jobs:
  publish:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - uses: actions/checkout@v3
        with:
@@ -13,7 +13,7 @@ permissions:

 jobs:
  publish:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - uses: actions/checkout@v3
        with:
@@ -25,7 +25,7 @@ permissions:

 jobs:
  publish:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - uses: actions/checkout@v3
        with:
@@ -14,7 +14,7 @@ concurrency: ${{ github.workflow }}-${{ github.ref }}

 jobs:
  publish:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - uses: actions/checkout@v3
        with:
@@ -7,7 +7,7 @@ on:

 jobs:
  stats:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    permissions:
      contents: write

@@ -8,7 +8,7 @@ on:
 jobs:
  zed:
    name: Release Zed Extension
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - uses: actions/checkout@v4
        with:
@@ -10,7 +10,7 @@ on:
  workflow_dispatch:
 jobs:
  test:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - name: Checkout repository
        uses: actions/checkout@v4
@@ -7,7 +7,7 @@ on:

 jobs:
  typecheck:
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      - name: Checkout repository
        uses: actions/checkout@v4
@@ -19,7 +19,7 @@ on:
 jobs:
  update:
    if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name == github.repository
-    runs-on: ubuntu-latest
+    runs-on: blacksmith-4vcpu-ubuntu-2404
    env:
      SYSTEM: x86_64-linux

@@ -21,3 +21,6 @@ WHAT was done.

 do not do generic messages like "improved agent experience" be very specific
 about what user facing changes were made
+
+if there are changes do a git pull --rebase
+if there are conflicts DO NOT FIX THEM. notify me and I will fix them
@@ -155,3 +155,5 @@
 | 2025-11-27 | 893,960 (+12,546) | 846,180 (+13,662) | 1,740,140 (+26,208) |
 | 2025-11-28 | 901,741 (+7,781)  | 856,482 (+10,302) | 1,758,223 (+18,083) |
 | 2025-11-29 | 908,689 (+6,948)  | 863,361 (+6,879)  | 1,772,050 (+13,827) |
+| 2025-11-30 | 916,116 (+7,427)  | 870,194 (+6,833)  | 1,786,310 (+14,260) |
+| 2025-12-01 | 925,898 (+9,782)  | 876,500 (+6,306)  | 1,802,398 (+16,088) |
@@ -20,7 +20,7 @@
    },
    "packages/console/app": {
      "name": "@opencode-ai/console-app",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -48,7 +48,7 @@
    },
    "packages/console/core": {
      "name": "@opencode-ai/console-core",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -75,7 +75,7 @@
    },
    "packages/console/function": {
      "name": "@opencode-ai/console-function",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@ai-sdk/anthropic": "2.0.0",
        "@ai-sdk/openai": "2.0.2",
@@ -99,7 +99,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode-ai/console-mail",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -123,7 +123,7 @@
    },
    "packages/desktop": {
      "name": "@opencode-ai/desktop",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode-ai/sdk": "workspace:*",
@@ -164,7 +164,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode-ai/enterprise",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@opencode-ai/ui": "workspace:*",
        "@opencode-ai/util": "workspace:*",
@@ -192,7 +192,7 @@
    },
    "packages/function": {
      "name": "@opencode-ai/function",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "22.0.0",
@@ -208,7 +208,7 @@
    },
    "packages/opencode": {
      "name": "opencode",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -224,6 +224,8 @@
        "@ai-sdk/mcp": "0.0.8",
        "@ai-sdk/openai": "2.0.71",
        "@ai-sdk/openai-compatible": "1.0.27",
+        "@ai-sdk/provider": "2.0.0",
+        "@ai-sdk/provider-utils": "3.0.18",
        "@clack/prompts": "1.0.0-alpha.1",
        "@hono/standard-validator": "0.1.5",
        "@hono/zod-validator": "catalog:",
@@ -236,8 +238,8 @@
        "@opencode-ai/sdk": "workspace:*",
        "@opencode-ai/util": "workspace:*",
        "@openrouter/ai-sdk-provider": "1.2.8",
-        "@opentui/core": "0.1.53",
-        "@opentui/solid": "0.1.53",
+        "@opentui/core": "0.1.54",
+        "@opentui/solid": "0.1.54",
        "@parcel/watcher": "2.5.1",
        "@pierre/precision-diffs": "catalog:",
        "@solid-primitives/event-bus": "1.1.2",
@@ -295,7 +297,7 @@
    },
    "packages/plugin": {
      "name": "@opencode-ai/plugin",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@opencode-ai/sdk": "workspace:*",
        "zod": "catalog:",
@@ -315,7 +317,7 @@
    },
    "packages/sdk/js": {
      "name": "@opencode-ai/sdk",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "devDependencies": {
        "@hey-api/openapi-ts": "0.81.0",
        "@tsconfig/node22": "catalog:",
@@ -326,7 +328,7 @@
    },
    "packages/slack": {
      "name": "@opencode-ai/slack",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@opencode-ai/sdk": "workspace:*",
        "@slack/bolt": "^3.17.1",
@@ -339,7 +341,7 @@
    },
    "packages/tauri": {
      "name": "@opencode-ai/tauri",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@tauri-apps/api": "^2",
        "@tauri-apps/plugin-opener": "^2",
@@ -352,7 +354,7 @@
    },
    "packages/ui": {
      "name": "@opencode-ai/ui",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode-ai/sdk": "workspace:*",
@@ -384,7 +386,7 @@
    },
    "packages/util": {
      "name": "@opencode-ai/util",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "zod": "catalog:",
      },
@@ -394,7 +396,7 @@
    },
    "packages/web": {
      "name": "@opencode-ai/web",
-      "version": "1.0.122",
+      "version": "1.0.125",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -503,7 +505,7 @@

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-    "@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.0", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.3", "zod-to-json-schema": "^3.24.1" }, "peerDependencies": { "zod": "^3.25.76 || ^4" } }, "sha512-BoQZtGcBxkeSH1zK+SRYNDtJPIPpacTeiMZqnG4Rv6xXjEwM0FH4MGs9c+PlhyEWmQCzjRM2HAotEydFhD4dYw=="],
+    "@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.18", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ypv1xXMsgGcNKUP+hglKqtdDuMg68nWHucPPAhIENrbFAI+xCHiqPVN8Zllxyv1TNZwGWUghPxJXU+Mqps0YRQ=="],

    "@alloc/quick-lru": ["@alloc/quick-lru@5.2.0", "", {}, "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw=="],

@@ -1085,21 +1087,21 @@

    "@opentelemetry/api": ["@opentelemetry/api@1.9.0", "", {}, "sha512-3giAOQvZiH5F9bMlMiv8+GSPMeqg0dbaeo58/0SlA9sxSqZhnUtxzX9/2FzyhS9sWQf5S0GJE0AKBrFqjpeYcg=="],

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@@ -3737,20 +3739,22 @@

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+    "@ai-sdk/anthropic/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.0", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.3", "zod-to-json-schema": "^3.24.1" }, "peerDependencies": { "zod": "^3.25.76 || ^4" } }, "sha512-BoQZtGcBxkeSH1zK+SRYNDtJPIPpacTeiMZqnG4Rv6xXjEwM0FH4MGs9c+PlhyEWmQCzjRM2HAotEydFhD4dYw=="],
+
    "@ai-sdk/azure/@ai-sdk/openai": ["@ai-sdk/openai@2.0.71", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-tg+gj+R0z/On9P4V7hy7/7o04cQPjKGayMCL3gzWD/aNGjAKkhEnaocuNDidSnghizt8g2zJn16cAuAolnW+qQ=="],

    "@ai-sdk/azure/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.17", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-TR3Gs4I3Tym4Ll+EPdzRdvo/rc8Js6c4nVhFLuvGLX/Y4V9ZcQMa/HTiYsHEgmYrf1zVi6Q145UEZUfleOwOjw=="],

    "@ai-sdk/gateway/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.17", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-TR3Gs4I3Tym4Ll+EPdzRdvo/rc8Js6c4nVhFLuvGLX/Y4V9ZcQMa/HTiYsHEgmYrf1zVi6Q145UEZUfleOwOjw=="],

-    "@ai-sdk/google/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.18", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ypv1xXMsgGcNKUP+hglKqtdDuMg68nWHucPPAhIENrbFAI+xCHiqPVN8Zllxyv1TNZwGWUghPxJXU+Mqps0YRQ=="],
-
    "@ai-sdk/google-vertex/@ai-sdk/anthropic": ["@ai-sdk/anthropic@2.0.50", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.18" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-21PaHfoLmouOXXNINTsZJsMw+wE5oLR2He/1kq/sKokTVKyq7ObGT1LDk6ahwxaz/GoaNaGankMh+EgVcdv2Cw=="],

-    "@ai-sdk/google-vertex/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.18", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ypv1xXMsgGcNKUP+hglKqtdDuMg68nWHucPPAhIENrbFAI+xCHiqPVN8Zllxyv1TNZwGWUghPxJXU+Mqps0YRQ=="],
-
    "@ai-sdk/mcp/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.17", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-TR3Gs4I3Tym4Ll+EPdzRdvo/rc8Js6c4nVhFLuvGLX/Y4V9ZcQMa/HTiYsHEgmYrf1zVi6Q145UEZUfleOwOjw=="],

+    "@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.0", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.3", "zod-to-json-schema": "^3.24.1" }, "peerDependencies": { "zod": "^3.25.76 || ^4" } }, "sha512-BoQZtGcBxkeSH1zK+SRYNDtJPIPpacTeiMZqnG4Rv6xXjEwM0FH4MGs9c+PlhyEWmQCzjRM2HAotEydFhD4dYw=="],
+
+    "@ai-sdk/openai-compatible/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.0", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.3", "zod-to-json-schema": "^3.24.1" }, "peerDependencies": { "zod": "^3.25.76 || ^4" } }, "sha512-BoQZtGcBxkeSH1zK+SRYNDtJPIPpacTeiMZqnG4Rv6xXjEwM0FH4MGs9c+PlhyEWmQCzjRM2HAotEydFhD4dYw=="],
+
    "@astrojs/cloudflare/vite": ["vite@6.4.1", "", { "dependencies": { "esbuild": "^0.25.0", "fdir": "^6.4.4", "picomatch": "^4.0.2", "postcss": "^8.5.3", "rollup": "^4.34.9", "tinyglobby": "^0.2.13" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0", "jiti": ">=1.21.0", "less": "*", "lightningcss": "^1.21.0", "sass": "*", "sass-embedded": "*", "stylus": "*", "sugarss": "*", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-+Oxm7q9hDoLMyJOYfUYBuHQo+dkAloi33apOPP56pzj+vsdJDzr+j1NISE5pyaAuKL4A3UD34qd0lx5+kfKp2g=="],

    "@astrojs/markdown-remark/@astrojs/internal-helpers": ["@astrojs/internal-helpers@0.6.1", "", {}, "sha512-l5Pqf6uZu31aG+3Lv8nl/3s4DbUzdlxTWDof4pEpto6GUJNhhCbelVi9dEyurOVyqaelwmS9oSyOWOENSfgo9A=="],
@@ -4619,8 +4623,6 @@

    "jsonwebtoken/jws/jwa": ["jwa@1.4.2", "", { "dependencies": { "buffer-equal-constant-time": "^1.0.1", "ecdsa-sig-formatter": "1.0.11", "safe-buffer": "^5.0.1" } }, "sha512-eeH5JO+21J78qMvTIDdBXidBd6nG2kZjg5Ohz/1fpa28Z4CcsWUzJ1ZZyFq/3z3N17aZy+ZuBoHljASbL1WfOw=="],

-    "opencode/@ai-sdk/anthropic/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.18", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ypv1xXMsgGcNKUP+hglKqtdDuMg68nWHucPPAhIENrbFAI+xCHiqPVN8Zllxyv1TNZwGWUghPxJXU+Mqps0YRQ=="],
-
    "opencode/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.17", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-TR3Gs4I3Tym4Ll+EPdzRdvo/rc8Js6c4nVhFLuvGLX/Y4V9ZcQMa/HTiYsHEgmYrf1zVi6Q145UEZUfleOwOjw=="],

    "opencode/@ai-sdk/openai-compatible/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.17", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-TR3Gs4I3Tym4Ll+EPdzRdvo/rc8Js6c4nVhFLuvGLX/Y4V9ZcQMa/HTiYsHEgmYrf1zVi6Q145UEZUfleOwOjw=="],
@@ -2,11 +2,11 @@
  "nodes": {
    "nixpkgs": {
      "locked": {
-        "lastModified": 1764384123,
-        "narHash": "sha256-UoliURDJFaOolycBZYrjzd9Cc66zULEyHqGFH3QHEq0=",
+        "lastModified": 1764527385,
+        "narHash": "sha256-nA5ywiGKl76atrbdZ5Aucd8SjF/v8ew9b9QsC+MKL14=",
        "owner": "NixOS",
        "repo": "nixpkgs",
-        "rev": "59b6c96beacc898566c9be1052ae806f3835f87d",
+        "rev": "23258e03aaa49b3a68597e3e50eb0cbce7e42e9d",
        "type": "github"
      },
      "original": {
@@ -1,3 +1,3 @@
 {
-  "nodeModules": "sha256-+PJZG5jNxBGkxblpnNa4lvfBi9YEvHaGQRE0+avNwHY="
+  "nodeModules": "sha256-CrewwFMa3zxKTM/XpnRVQm75FB7Jk1tXX40D+kYt0YE="
 }
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/console-app",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "type": "module",
  "scripts": {
    "typecheck": "tsgo --noEmit",
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/console-core",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "private": true,
  "type": "module",
  "dependencies": {
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/console-function",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "$schema": "https://json.schemastore.org/package.json",
  "private": true,
  "type": "module",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/console-mail",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "dependencies": {
    "@jsx-email/all": "2.2.3",
    "@jsx-email/cli": "1.4.3",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/desktop",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "description": "",
  "type": "module",
  "scripts": {
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/enterprise",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "private": true,
  "type": "module",
  "scripts": {
@@ -65,8 +65,11 @@ export namespace Share {
  })

  export async function data(id: string) {
+    let time = Date.now()
    const list = await Storage.list(["share_data", id])
+    console.log("listing share data", Date.now() - time, list.length)
    const promises = []
+    time = Date.now()
    for (const item of list) {
      promises.push(
        iife(async () => {
@@ -78,7 +81,9 @@ export namespace Share {
        }),
      )
    }
-    return await Promise.all(promises)
+    const result = await Promise.all(promises)
+    console.log("read share data", Date.now() - time, result.length)
+    return result
  }

  export const sync = fn(
@@ -41,6 +41,9 @@ const getData = query(async (shareID) => {
    session_diff_preload: {
      [sessionID: string]: PreloadMultiFileDiffResult<any>[]
    }
+    session_diff_preload_split: {
+      [sessionID: string]: PreloadMultiFileDiffResult<any>[]
+    }
    session_status: {
      [sessionID: string]: SessionStatus
    }
@@ -62,6 +65,9 @@ const getData = query(async (shareID) => {
    session_diff_preload: {
      [share.sessionID]: [],
    },
+    session_diff_preload_split: {
+      [share.sessionID]: [],
+    },
    session_status: {
      [share.sessionID]: {
        type: "idle",
@@ -78,16 +84,28 @@ const getData = query(async (shareID) => {
        break
      case "session_diff":
        result.session_diff[share.sessionID] = item.data
-        result.session_diff_preload[share.sessionID] = await Promise.all(
-          item.data.map(async (diff) =>
-            preloadMultiFileDiff<any>({
-              oldFile: { name: diff.file, contents: diff.before },
-              newFile: { name: diff.file, contents: diff.after },
-              options: createDefaultOptions("unified"),
-              // annotations,
-            }),
-          ),
-        )
+        await Promise.all([
+          Promise.all(
+            item.data.map(async (diff) =>
+              preloadMultiFileDiff<any>({
+                oldFile: { name: diff.file, contents: diff.before },
+                newFile: { name: diff.file, contents: diff.after },
+                options: createDefaultOptions("unified"),
+                // annotations,
+              }),
+            ),
+          ).then((r) => (result.session_diff_preload[share.sessionID] = r)),
+          Promise.all(
+            item.data.map(async (diff) =>
+              preloadMultiFileDiff<any>({
+                oldFile: { name: diff.file, contents: diff.before },
+                newFile: { name: diff.file, contents: diff.after },
+                options: createDefaultOptions("split"),
+                // annotations,
+              }),
+            ),
+          ).then((r) => (result.session_diff_preload_split[share.sessionID] = r)),
+        ])
        break
      case "message":
        result.message[item.data.sessionID] = result.message[item.data.sessionID] ?? []
@@ -169,6 +187,14 @@ export default function () {
                    preloaded: preloaded.find((d) => d.newFile.name === diff.file),
                  }))
                })
+                const splitDiffs = createMemo(() => {
+                  const diffs = data().session_diff[data().sessionID] ?? []
+                  const preloaded = data().session_diff_preload_split[data().sessionID] ?? []
+                  return diffs.map((diff) => ({
+                    ...diff,
+                    preloaded: preloaded.find((d) => d.newFile.name === diff.file),
+                  }))
+                })

                const title = () => (
                  <div class="flex flex-col gap-4">
@@ -281,8 +307,9 @@ export default function () {
                          </div>
                        </div>
                        <Show when={diffs().length > 0}>
-                          <div class="relative grow pt-14 flex-1 min-h-0 border-l border-border-weak-base">
+                          <div class="@container relative grow pt-14 flex-1 min-h-0 border-l border-border-weak-base">
                            <SessionReview
+                              class="@4xl:hidden"
                              diffs={diffs()}
                              classes={{
                                root: "pb-20",
@@ -290,6 +317,16 @@ export default function () {
                                container: "px-6",
                              }}
                            />
+                            <SessionReview
+                              class="hidden @4xl:flex"
+                              split
+                              diffs={splitDiffs()}
+                              classes={{
+                                root: "pb-20",
+                                header: "px-6",
+                                container: "px-6",
+                              }}
+                            />
                          </div>
                        </Show>
                      </div>
@@ -1,7 +1,7 @@
 id = "opencode"
 name = "OpenCode"
 description = "The AI coding agent built for the terminal"
-version = "1.0.122"
+version = "1.0.125"
 schema_version = 1
 authors = ["Anomaly"]
 repository = "https://github.com/sst/opencode"
@@ -11,26 +11,26 @@ name = "OpenCode"
 icon = "./icons/opencode.svg"

 [agent_servers.opencode.targets.darwin-aarch64]
-archive = "https://github.com/sst/opencode/releases/download/v1.0.122/opencode-darwin-arm64.zip"
+archive = "https://github.com/sst/opencode/releases/download/v1.0.125/opencode-darwin-arm64.zip"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.darwin-x86_64]
-archive = "https://github.com/sst/opencode/releases/download/v1.0.122/opencode-darwin-x64.zip"
+archive = "https://github.com/sst/opencode/releases/download/v1.0.125/opencode-darwin-x64.zip"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.linux-aarch64]
-archive = "https://github.com/sst/opencode/releases/download/v1.0.122/opencode-linux-arm64.zip"
+archive = "https://github.com/sst/opencode/releases/download/v1.0.125/opencode-linux-arm64.zip"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.linux-x86_64]
-archive = "https://github.com/sst/opencode/releases/download/v1.0.122/opencode-linux-x64.zip"
+archive = "https://github.com/sst/opencode/releases/download/v1.0.125/opencode-linux-x64.zip"
 cmd = "./opencode"
 args = ["acp"]

 [agent_servers.opencode.targets.windows-x86_64]
-archive = "https://github.com/sst/opencode/releases/download/v1.0.122/opencode-windows-x64.zip"
+archive = "https://github.com/sst/opencode/releases/download/v1.0.125/opencode-windows-x64.zip"
 cmd = "./opencode.exe"
 args = ["acp"]
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/function",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "$schema": "https://json.schemastore.org/package.json",
  "private": true,
  "type": "module",
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "name": "opencode",
  "type": "module",
  "private": true,
@@ -50,6 +50,8 @@
    "@ai-sdk/mcp": "0.0.8",
    "@ai-sdk/openai": "2.0.71",
    "@ai-sdk/openai-compatible": "1.0.27",
+    "@ai-sdk/provider": "2.0.0",
+    "@ai-sdk/provider-utils": "3.0.18",
    "@clack/prompts": "1.0.0-alpha.1",
    "@hono/standard-validator": "0.1.5",
    "@hono/zod-validator": "catalog:",
@@ -62,8 +64,8 @@
    "@opencode-ai/sdk": "workspace:*",
    "@opencode-ai/util": "workspace:*",
    "@openrouter/ai-sdk-provider": "1.2.8",
-    "@opentui/core": "0.1.53",
-    "@opentui/solid": "0.1.53",
+    "@opentui/core": "0.1.54",
+    "@opentui/solid": "0.1.54",
    "@parcel/watcher": "2.5.1",
    "@pierre/precision-diffs": "catalog:",
    "@solid-primitives/event-bus": "1.1.2",
@@ -7,19 +7,35 @@ import { GlobalBus } from "./global"
 export namespace Bus {
  const log = Log.create({ service: "bus" })
  type Subscription = (event: any) => void
-
-  const state = Instance.state(() => {
-    const subscriptions = new Map<any, Subscription[]>()
-
-    return {
-      subscriptions,
-    }
-  })
+  const disposedEventType = "server.instance.disposed"

  export type EventDefinition = ReturnType<typeof event>

  const registry = new Map<string, EventDefinition>()

+  const state = Instance.state(
+    () => {
+      const subscriptions = new Map<any, Subscription[]>()
+
+      return {
+        subscriptions,
+      }
+    },
+    async (entry) => {
+      const wildcard = entry.subscriptions.get("*")
+      if (!wildcard) return
+      const event = {
+        type: disposedEventType,
+        properties: {
+          directory: Instance.directory,
+        },
+      }
+      for (const sub of [...wildcard]) {
+        sub(event)
+      }
+    },
+  )
+
  export function event<Type extends string, Properties extends ZodType>(type: Type, properties: Properties) {
    const result = {
      type,
@@ -29,6 +45,13 @@ export namespace Bus {
    return result
  }

+  export const InstanceDisposed = event(
+    disposedEventType,
+    z.object({
+      directory: z.string(),
+    }),
+  )
+
  export function payloads() {
    return z
      .discriminatedUnion(
@@ -30,6 +30,7 @@ import { TuiEvent } from "./event"
 import { KVProvider, useKV } from "./context/kv"
 import { Provider } from "@/provider/provider"
 import { ArgsProvider, useArgs, type Args } from "./context/args"
+import open from "open"

 async function getTerminalBackgroundColor(): Promise<"dark" | "light"> {
  // can't set raw mode if not a TTY
@@ -315,6 +316,15 @@ function App() {
      },
      category: "System",
    },
+    {
+      title: "Open docs",
+      value: "docs.open",
+      onSelect: () => {
+        open("https://opencode.ai/docs").catch(() => {})
+        dialog.clear()
+      },
+      category: "System",
+    },
    {
      title: "Exit the app",
      value: "app.exit",
@@ -843,6 +843,7 @@ export function Prompt(props: PromptProps) {
              justifyContent={status().type === "retry" ? "space-between" : "flex-start"}
            >
              <box flexShrink={0} flexDirection="row" gap={1}>
+                {/* @ts-ignore // SpinnerOptions doesn't support marginLeft */}
                <spinner marginLeft={1} color={spinnerDef().color} frames={spinnerDef().frames} interval={40} />
                <box flexDirection="row" gap={1} flexShrink={0}>
                  {(() => {
@@ -1327,7 +1327,13 @@ ToolRegistry.register<typeof WriteTool>({
          Wrote {props.input.filePath}
        </ToolTitle>
        <line_number fg={theme.textMuted} minWidth={3} paddingRight={1}>
-          <code fg={theme.text} filetype={filetype(props.input.filePath!)} syntaxStyle={syntax()} content={code()} />
+          <code
+            conceal={false}
+            fg={theme.text}
+            filetype={filetype(props.input.filePath!)}
+            syntaxStyle={syntax()}
+            content={code()}
+          />
        </line_number>
        <Show when={diagnostics().length}>
          <For each={diagnostics()}>
@@ -47,7 +47,6 @@ export namespace FileWatcher {
      const subscribe: ParcelWatcher.SubscribeCallback = (err, evts) => {
        if (err) return
        for (const evt of evts) {
-          log.info("event", evt)
          if (evt.type === "create") Bus.publish(Event.Updated, { file: evt.path, event: "add" })
          if (evt.type === "update") Bus.publish(Event.Updated, { file: evt.path, event: "change" })
          if (evt.type === "delete") Bus.publish(Event.Updated, { file: evt.path, event: "unlink" })
@@ -83,7 +82,6 @@ export namespace FileWatcher {
  )

  export function init() {
-    // if (!Flag.OPENCODE_EXPERIMENTAL_WATCHER) return
    state()
  }
 }
@@ -30,7 +30,7 @@ await Promise.all([
  fs.mkdir(Global.Path.bin, { recursive: true }),
 ])

-const CACHE_VERSION = "11"
+const CACHE_VERSION = "12"

 const version = await Bun.file(path.join(Global.Path.cache, "version"))
  .text()
@@ -29,7 +29,7 @@ export namespace Plugin {
    const plugins = [...(config.plugin ?? [])]
    if (!Flag.OPENCODE_DISABLE_DEFAULT_PLUGINS) {
      plugins.push("opencode-copilot-auth@0.0.7")
-      plugins.push("opencode-anthropic-auth@0.0.2")
+      plugins.push("opencode-anthropic-auth@0.0.3")
    }
    for (let plugin of plugins) {
      log.info("loading plugin", { path: plugin })
@@ -75,18 +75,18 @@ export namespace Project {
      await Storage.write<Info>(["project", "global"], project)
      return project
    }
-    worktree = await $`git rev-parse --path-format=absolute --show-toplevel`
+    worktree = await $`git rev-parse --show-toplevel`
      .quiet()
      .nothrow()
      .cwd(worktree)
      .text()
-      .then((x) => x.trim())
-    const vcsDir = await $`git rev-parse --path-format=absolute --git-dir`
+      .then((x) => path.resolve(worktree, x.trim()))
+    const vcsDir = await $`git rev-parse --git-dir`
      .quiet()
      .nothrow()
      .cwd(worktree)
      .text()
-      .then((x) => x.trim())
+      .then((x) => path.resolve(worktree, x.trim()))
    const project: Info = {
      id,
      worktree,
@@ -23,6 +23,7 @@ import { createVertexAnthropic } from "@ai-sdk/google-vertex/anthropic"
 import { createOpenAI } from "@ai-sdk/openai"
 import { createOpenAICompatible } from "@ai-sdk/openai-compatible"
 import { createOpenRouter } from "@openrouter/ai-sdk-provider"
+import { createOpenaiCompatible as createGitHubCopilotOpenAICompatible } from "./sdk/openai-compatible/src"

 export namespace Provider {
  const log = Log.create({ service: "provider" })
@@ -37,6 +38,8 @@ export namespace Provider {
    "@ai-sdk/openai": createOpenAI,
    "@ai-sdk/openai-compatible": createOpenAICompatible,
    "@openrouter/ai-sdk-provider": createOpenRouter,
+    // @ts-ignore (TODO: kill this code so we dont have to maintain it)
+    "@ai-sdk/github-copilot": createGitHubCopilotOpenAICompatible,
  }

  type CustomLoader = (provider: ModelsDev.Provider) => Promise<{
@@ -87,6 +90,30 @@ export namespace Provider {
        options: {},
      }
    },
+    "github-copilot": async () => {
+      return {
+        autoload: false,
+        async getModel(sdk: any, modelID: string, _options?: Record<string, any>) {
+          if (modelID.includes("gpt-5")) {
+            return sdk.responses(modelID)
+          }
+          return sdk.chat(modelID)
+        },
+        options: {},
+      }
+    },
+    "github-copilot-enterprise": async () => {
+      return {
+        autoload: false,
+        async getModel(sdk: any, modelID: string, _options?: Record<string, any>) {
+          if (modelID.includes("gpt-5")) {
+            return sdk.responses(modelID)
+          }
+          return sdk.chat(modelID)
+        },
+        options: {},
+      }
+    },
    azure: async () => {
      return {
        autoload: false,
@@ -428,15 +455,6 @@ export namespace Provider {
      }
    }

-    // load custom
-    for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {
-      if (disabled.has(providerID)) continue
-      const result = await fn(database[providerID])
-      if (result && (result.autoload || providers[providerID])) {
-        mergeProvider(providerID, result.options ?? {}, "custom", result.getModel)
-      }
-    }
-
    for (const plugin of await Plugin.list()) {
      if (!plugin.auth) continue
      const providerID = plugin.auth.provider
@@ -478,6 +496,14 @@ export namespace Provider {
      }
    }

+    for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {
+      if (disabled.has(providerID)) continue
+      const result = await fn(database[providerID])
+      if (result && (result.autoload || providers[providerID])) {
+        mergeProvider(providerID, result.options ?? {}, "custom", result.getModel)
+      }
+    }
+
    // load config
    for (const [providerID, provider] of configProviders) {
      mergeProvider(providerID, provider.options ?? {}, "config")
@@ -489,6 +515,10 @@ export namespace Provider {
        continue
      }

+      if (providerID === "github-copilot") {
+        provider.info.npm = "@ai-sdk/github-copilot"
+      }
+
      const configProvider = config.provider?.[providerID]
      const filteredModels = Object.fromEntries(
        Object.entries(provider.info.models)
@@ -0,0 +1,5 @@
+This is a temporary package used primarily for github copilot compatibility.
+
+Avoid making changes to these files unless you want to only affect Copilot provider.
+
+Also this should ONLY be used for Copilot provider.
@@ -0,0 +1,2 @@
+export { createOpenaiCompatible, openaiCompatible } from "./openai-compatible-provider"
+export type { OpenaiCompatibleProvider, OpenaiCompatibleProviderSettings } from "./openai-compatible-provider"
@@ -0,0 +1,100 @@
+import type { LanguageModelV2 } from "@ai-sdk/provider"
+import { OpenAICompatibleChatLanguageModel } from "@ai-sdk/openai-compatible"
+import { type FetchFunction, withoutTrailingSlash, withUserAgentSuffix } from "@ai-sdk/provider-utils"
+import { OpenAIResponsesLanguageModel } from "./responses/openai-responses-language-model"
+
+// Import the version or define it
+const VERSION = "0.1.0"
+
+export type OpenaiCompatibleModelId = string
+
+export interface OpenaiCompatibleProviderSettings {
+  /**
+   * API key for authenticating requests.
+   */
+  apiKey?: string
+
+  /**
+   * Base URL for the OpenAI Compatible API calls.
+   */
+  baseURL?: string
+
+  /**
+   * Name of the provider.
+   */
+  name?: string
+
+  /**
+   * Custom headers to include in the requests.
+   */
+  headers?: Record<string, string>
+
+  /**
+   * Custom fetch implementation.
+   */
+  fetch?: FetchFunction
+}
+
+export interface OpenaiCompatibleProvider {
+  (modelId: OpenaiCompatibleModelId): LanguageModelV2
+  chat(modelId: OpenaiCompatibleModelId): LanguageModelV2
+  responses(modelId: OpenaiCompatibleModelId): LanguageModelV2
+  languageModel(modelId: OpenaiCompatibleModelId): LanguageModelV2
+
+  // embeddingModel(modelId: any): EmbeddingModelV2
+
+  // imageModel(modelId: any): ImageModelV2
+}
+
+/**
+ * Create an OpenAI Compatible provider instance.
+ */
+export function createOpenaiCompatible(options: OpenaiCompatibleProviderSettings = {}): OpenaiCompatibleProvider {
+  const baseURL = withoutTrailingSlash(options.baseURL ?? "https://api.openai.com/v1")
+
+  if (!baseURL) {
+    throw new Error("baseURL is required")
+  }
+
+  // Merge headers: defaults first, then user overrides
+  const headers = {
+    // Default OpenAI Compatible headers (can be overridden by user)
+    ...(options.apiKey && { Authorization: `Bearer ${options.apiKey}` }),
+    ...options.headers,
+  }
+
+  const getHeaders = () => withUserAgentSuffix(headers, `ai-sdk/openai-compatible/${VERSION}`)
+
+  const createChatModel = (modelId: OpenaiCompatibleModelId) => {
+    return new OpenAICompatibleChatLanguageModel(modelId, {
+      provider: `${options.name ?? "openai-compatible"}.chat`,
+      headers: getHeaders,
+      url: ({ path }) => `${baseURL}${path}`,
+      fetch: options.fetch,
+    })
+  }
+
+  const createResponsesModel = (modelId: OpenaiCompatibleModelId) => {
+    return new OpenAIResponsesLanguageModel(modelId, {
+      provider: `${options.name ?? "openai-compatible"}.responses`,
+      headers: getHeaders,
+      url: ({ path }) => `${baseURL}${path}`,
+      fetch: options.fetch,
+    })
+  }
+
+  const createLanguageModel = (modelId: OpenaiCompatibleModelId) => createChatModel(modelId)
+
+  const provider = function (modelId: OpenaiCompatibleModelId) {
+    return createChatModel(modelId)
+  }
+
+  provider.languageModel = createLanguageModel
+  provider.chat = createChatModel
+  provider.responses = createResponsesModel
+
+  return provider as OpenaiCompatibleProvider
+}
+
+// Default OpenAI Compatible provider instance
+export const openaiCompatible = createOpenaiCompatible()
@@ -0,0 +1,303 @@
+import {
+  type LanguageModelV2CallWarning,
+  type LanguageModelV2Prompt,
+  type LanguageModelV2ToolCallPart,
+  UnsupportedFunctionalityError,
+} from "@ai-sdk/provider"
+import { convertToBase64, parseProviderOptions } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+import type { OpenAIResponsesInput, OpenAIResponsesReasoning } from "./openai-responses-api-types"
+import { localShellInputSchema, localShellOutputSchema } from "./tool/local-shell"
+
+/**
+ * Check if a string is a file ID based on the given prefixes
+ * Returns false if prefixes is undefined (disables file ID detection)
+ */
+function isFileId(data: string, prefixes?: readonly string[]): boolean {
+  if (!prefixes) return false
+  return prefixes.some((prefix) => data.startsWith(prefix))
+}
+
+export async function convertToOpenAIResponsesInput({
+  prompt,
+  systemMessageMode,
+  fileIdPrefixes,
+  store,
+  hasLocalShellTool = false,
+}: {
+  prompt: LanguageModelV2Prompt
+  systemMessageMode: "system" | "developer" | "remove"
+  fileIdPrefixes?: readonly string[]
+  store: boolean
+  hasLocalShellTool?: boolean
+}): Promise<{
+  input: OpenAIResponsesInput
+  warnings: Array<LanguageModelV2CallWarning>
+}> {
+  const input: OpenAIResponsesInput = []
+  const warnings: Array<LanguageModelV2CallWarning> = []
+
+  for (const { role, content } of prompt) {
+    switch (role) {
+      case "system": {
+        switch (systemMessageMode) {
+          case "system": {
+            input.push({ role: "system", content })
+            break
+          }
+          case "developer": {
+            input.push({ role: "developer", content })
+            break
+          }
+          case "remove": {
+            warnings.push({
+              type: "other",
+              message: "system messages are removed for this model",
+            })
+            break
+          }
+          default: {
+            const _exhaustiveCheck: never = systemMessageMode
+            throw new Error(`Unsupported system message mode: ${_exhaustiveCheck}`)
+          }
+        }
+        break
+      }
+
+      case "user": {
+        input.push({
+          role: "user",
+          content: content.map((part, index) => {
+            switch (part.type) {
+              case "text": {
+                return { type: "input_text", text: part.text }
+              }
+              case "file": {
+                if (part.mediaType.startsWith("image/")) {
+                  const mediaType = part.mediaType === "image/*" ? "image/jpeg" : part.mediaType
+
+                  return {
+                    type: "input_image",
+                    ...(part.data instanceof URL
+                      ? { image_url: part.data.toString() }
+                      : typeof part.data === "string" && isFileId(part.data, fileIdPrefixes)
+                        ? { file_id: part.data }
+                        : {
+                            image_url: `data:${mediaType};base64,${convertToBase64(part.data)}`,
+                          }),
+                    detail: part.providerOptions?.openai?.imageDetail,
+                  }
+                } else if (part.mediaType === "application/pdf") {
+                  if (part.data instanceof URL) {
+                    return {
+                      type: "input_file",
+                      file_url: part.data.toString(),
+                    }
+                  }
+                  return {
+                    type: "input_file",
+                    ...(typeof part.data === "string" && isFileId(part.data, fileIdPrefixes)
+                      ? { file_id: part.data }
+                      : {
+                          filename: part.filename ?? `part-${index}.pdf`,
+                          file_data: `data:application/pdf;base64,${convertToBase64(part.data)}`,
+                        }),
+                  }
+                } else {
+                  throw new UnsupportedFunctionalityError({
+                    functionality: `file part media type ${part.mediaType}`,
+                  })
+                }
+              }
+            }
+          }),
+        })
+
+        break
+      }
+
+      case "assistant": {
+        const reasoningMessages: Record<string, OpenAIResponsesReasoning> = {}
+        const toolCallParts: Record<string, LanguageModelV2ToolCallPart> = {}
+
+        for (const part of content) {
+          switch (part.type) {
+            case "text": {
+              input.push({
+                role: "assistant",
+                content: [{ type: "output_text", text: part.text }],
+                id: (part.providerOptions?.openai?.itemId as string) ?? undefined,
+              })
+              break
+            }
+            case "tool-call": {
+              toolCallParts[part.toolCallId] = part
+
+              if (part.providerExecuted) {
+                break
+              }
+
+              if (hasLocalShellTool && part.toolName === "local_shell") {
+                const parsedInput = localShellInputSchema.parse(part.input)
+                input.push({
+                  type: "local_shell_call",
+                  call_id: part.toolCallId,
+                  id: (part.providerOptions?.openai?.itemId as string) ?? undefined,
+                  action: {
+                    type: "exec",
+                    command: parsedInput.action.command,
+                    timeout_ms: parsedInput.action.timeoutMs,
+                    user: parsedInput.action.user,
+                    working_directory: parsedInput.action.workingDirectory,
+                    env: parsedInput.action.env,
+                  },
+                })
+
+                break
+              }
+
+              input.push({
+                type: "function_call",
+                call_id: part.toolCallId,
+                name: part.toolName,
+                arguments: JSON.stringify(part.input),
+                id: (part.providerOptions?.openai?.itemId as string) ?? undefined,
+              })
+              break
+            }
+
+            // assistant tool result parts are from provider-executed tools:
+            case "tool-result": {
+              if (store) {
+                // use item references to refer to tool results from built-in tools
+                input.push({ type: "item_reference", id: part.toolCallId })
+              } else {
+                warnings.push({
+                  type: "other",
+                  message: `Results for OpenAI tool ${part.toolName} are not sent to the API when store is false`,
+                })
+              }
+
+              break
+            }
+
+            case "reasoning": {
+              const providerOptions = await parseProviderOptions({
+                provider: "openai",
+                providerOptions: part.providerOptions,
+                schema: openaiResponsesReasoningProviderOptionsSchema,
+              })
+
+              const reasoningId = providerOptions?.itemId
+
+              if (reasoningId != null) {
+                const reasoningMessage = reasoningMessages[reasoningId]
+
+                if (store) {
+                  if (reasoningMessage === undefined) {
+                    // use item references to refer to reasoning (single reference)
+                    input.push({ type: "item_reference", id: reasoningId })
+
+                    // store unused reasoning message to mark id as used
+                    reasoningMessages[reasoningId] = {
+                      type: "reasoning",
+                      id: reasoningId,
+                      summary: [],
+                    }
+                  }
+                } else {
+                  const summaryParts: Array<{
+                    type: "summary_text"
+                    text: string
+                  }> = []
+
+                  if (part.text.length > 0) {
+                    summaryParts.push({
+                      type: "summary_text",
+                      text: part.text,
+                    })
+                  } else if (reasoningMessage !== undefined) {
+                    warnings.push({
+                      type: "other",
+                      message: `Cannot append empty reasoning part to existing reasoning sequence. Skipping reasoning part: ${JSON.stringify(part)}.`,
+                    })
+                  }
+
+                  if (reasoningMessage === undefined) {
+                    reasoningMessages[reasoningId] = {
+                      type: "reasoning",
+                      id: reasoningId,
+                      encrypted_content: providerOptions?.reasoningEncryptedContent,
+                      summary: summaryParts,
+                    }
+                    input.push(reasoningMessages[reasoningId])
+                  } else {
+                    reasoningMessage.summary.push(...summaryParts)
+                  }
+                }
+              } else {
+                warnings.push({
+                  type: "other",
+                  message: `Non-OpenAI reasoning parts are not supported. Skipping reasoning part: ${JSON.stringify(part)}.`,
+                })
+              }
+              break
+            }
+          }
+        }
+
+        break
+      }
+
+      case "tool": {
+        for (const part of content) {
+          const output = part.output
+
+          if (hasLocalShellTool && part.toolName === "local_shell" && output.type === "json") {
+            input.push({
+              type: "local_shell_call_output",
+              call_id: part.toolCallId,
+              output: localShellOutputSchema.parse(output.value).output,
+            })
+            break
+          }
+
+          let contentValue: string
+          switch (output.type) {
+            case "text":
+            case "error-text":
+              contentValue = output.value
+              break
+            case "content":
+            case "json":
+            case "error-json":
+              contentValue = JSON.stringify(output.value)
+              break
+          }
+
+          input.push({
+            type: "function_call_output",
+            call_id: part.toolCallId,
+            output: contentValue,
+          })
+        }
+
+        break
+      }
+
+      default: {
+        const _exhaustiveCheck: never = role
+        throw new Error(`Unsupported role: ${_exhaustiveCheck}`)
+      }
+    }
+  }
+
+  return { input, warnings }
+}
+
+const openaiResponsesReasoningProviderOptionsSchema = z.object({
+  itemId: z.string().nullish(),
+  reasoningEncryptedContent: z.string().nullish(),
+})
+
+export type OpenAIResponsesReasoningProviderOptions = z.infer<typeof openaiResponsesReasoningProviderOptionsSchema>
@@ -0,0 +1,22 @@
+import type { LanguageModelV2FinishReason } from "@ai-sdk/provider"
+
+export function mapOpenAIResponseFinishReason({
+  finishReason,
+  hasFunctionCall,
+}: {
+  finishReason: string | null | undefined
+  // flag that checks if there have been client-side tool calls (not executed by openai)
+  hasFunctionCall: boolean
+}): LanguageModelV2FinishReason {
+  switch (finishReason) {
+    case undefined:
+    case null:
+      return hasFunctionCall ? "tool-calls" : "stop"
+    case "max_output_tokens":
+      return "length"
+    case "content_filter":
+      return "content-filter"
+    default:
+      return hasFunctionCall ? "tool-calls" : "unknown"
+  }
+}
@@ -0,0 +1,18 @@
+import type { FetchFunction } from "@ai-sdk/provider-utils"
+
+export type OpenAIConfig = {
+  provider: string
+  url: (options: { modelId: string; path: string }) => string
+  headers: () => Record<string, string | undefined>
+  fetch?: FetchFunction
+  generateId?: () => string
+  /**
+   * File ID prefixes used to identify file IDs in Responses API.
+   * When undefined, all file data is treated as base64 content.
+   *
+   * Examples:
+   * - OpenAI: ['file-'] for IDs like 'file-abc123'
+   * - Azure OpenAI: ['assistant-'] for IDs like 'assistant-abc123'
+   */
+  fileIdPrefixes?: readonly string[]
+}
@@ -0,0 +1,22 @@
+import { z } from "zod/v4"
+import { createJsonErrorResponseHandler } from "@ai-sdk/provider-utils"
+
+export const openaiErrorDataSchema = z.object({
+  error: z.object({
+    message: z.string(),
+
+    // The additional information below is handled loosely to support
+    // OpenAI-compatible providers that have slightly different error
+    // responses:
+    type: z.string().nullish(),
+    param: z.any().nullish(),
+    code: z.union([z.string(), z.number()]).nullish(),
+  }),
+})
+
+export type OpenAIErrorData = z.infer<typeof openaiErrorDataSchema>
+
+export const openaiFailedResponseHandler: any = createJsonErrorResponseHandler({
+  errorSchema: openaiErrorDataSchema,
+  errorToMessage: (data) => data.error.message,
+})
@@ -0,0 +1,207 @@
+import type { JSONSchema7 } from "@ai-sdk/provider"
+
+export type OpenAIResponsesInput = Array<OpenAIResponsesInputItem>
+
+export type OpenAIResponsesInputItem =
+  | OpenAIResponsesSystemMessage
+  | OpenAIResponsesUserMessage
+  | OpenAIResponsesAssistantMessage
+  | OpenAIResponsesFunctionCall
+  | OpenAIResponsesFunctionCallOutput
+  | OpenAIResponsesComputerCall
+  | OpenAIResponsesLocalShellCall
+  | OpenAIResponsesLocalShellCallOutput
+  | OpenAIResponsesReasoning
+  | OpenAIResponsesItemReference
+
+export type OpenAIResponsesIncludeValue =
+  | "web_search_call.action.sources"
+  | "code_interpreter_call.outputs"
+  | "computer_call_output.output.image_url"
+  | "file_search_call.results"
+  | "message.input_image.image_url"
+  | "message.output_text.logprobs"
+  | "reasoning.encrypted_content"
+
+export type OpenAIResponsesIncludeOptions = Array<OpenAIResponsesIncludeValue> | undefined | null
+
+export type OpenAIResponsesSystemMessage = {
+  role: "system" | "developer"
+  content: string
+}
+
+export type OpenAIResponsesUserMessage = {
+  role: "user"
+  content: Array<
+    | { type: "input_text"; text: string }
+    | { type: "input_image"; image_url: string }
+    | { type: "input_image"; file_id: string }
+    | { type: "input_file"; file_url: string }
+    | { type: "input_file"; filename: string; file_data: string }
+    | { type: "input_file"; file_id: string }
+  >
+}
+
+export type OpenAIResponsesAssistantMessage = {
+  role: "assistant"
+  content: Array<{ type: "output_text"; text: string }>
+  id?: string
+}
+
+export type OpenAIResponsesFunctionCall = {
+  type: "function_call"
+  call_id: string
+  name: string
+  arguments: string
+  id?: string
+}
+
+export type OpenAIResponsesFunctionCallOutput = {
+  type: "function_call_output"
+  call_id: string
+  output: string
+}
+
+export type OpenAIResponsesComputerCall = {
+  type: "computer_call"
+  id: string
+  status?: string
+}
+
+export type OpenAIResponsesLocalShellCall = {
+  type: "local_shell_call"
+  id: string
+  call_id: string
+  action: {
+    type: "exec"
+    command: string[]
+    timeout_ms?: number
+    user?: string
+    working_directory?: string
+    env?: Record<string, string>
+  }
+}
+
+export type OpenAIResponsesLocalShellCallOutput = {
+  type: "local_shell_call_output"
+  call_id: string
+  output: string
+}
+
+export type OpenAIResponsesItemReference = {
+  type: "item_reference"
+  id: string
+}
+
+/**
+ * A filter used to compare a specified attribute key to a given value using a defined comparison operation.
+ */
+export type OpenAIResponsesFileSearchToolComparisonFilter = {
+  /**
+   * The key to compare against the value.
+   */
+  key: string
+
+  /**
+   * Specifies the comparison operator: eq, ne, gt, gte, lt, lte.
+   */
+  type: "eq" | "ne" | "gt" | "gte" | "lt" | "lte"
+
+  /**
+   * The value to compare against the attribute key; supports string, number, or boolean types.
+   */
+  value: string | number | boolean
+}
+
+/**
+ * Combine multiple filters using and or or.
+ */
+export type OpenAIResponsesFileSearchToolCompoundFilter = {
+  /**
+   * Type of operation: and or or.
+   */
+  type: "and" | "or"
+
+  /**
+   * Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
+   */
+  filters: Array<OpenAIResponsesFileSearchToolComparisonFilter | OpenAIResponsesFileSearchToolCompoundFilter>
+}
+
+export type OpenAIResponsesTool =
+  | {
+      type: "function"
+      name: string
+      description: string | undefined
+      parameters: JSONSchema7
+      strict: boolean | undefined
+    }
+  | {
+      type: "web_search"
+      filters: { allowed_domains: string[] | undefined } | undefined
+      search_context_size: "low" | "medium" | "high" | undefined
+      user_location:
+        | {
+            type: "approximate"
+            city?: string
+            country?: string
+            region?: string
+            timezone?: string
+          }
+        | undefined
+    }
+  | {
+      type: "web_search_preview"
+      search_context_size: "low" | "medium" | "high" | undefined
+      user_location:
+        | {
+            type: "approximate"
+            city?: string
+            country?: string
+            region?: string
+            timezone?: string
+          }
+        | undefined
+    }
+  | {
+      type: "code_interpreter"
+      container: string | { type: "auto"; file_ids: string[] | undefined }
+    }
+  | {
+      type: "file_search"
+      vector_store_ids: string[]
+      max_num_results: number | undefined
+      ranking_options: { ranker?: string; score_threshold?: number } | undefined
+      filters: OpenAIResponsesFileSearchToolComparisonFilter | OpenAIResponsesFileSearchToolCompoundFilter | undefined
+    }
+  | {
+      type: "image_generation"
+      background: "auto" | "opaque" | "transparent" | undefined
+      input_fidelity: "low" | "high" | undefined
+      input_image_mask:
+        | {
+            file_id: string | undefined
+            image_url: string | undefined
+          }
+        | undefined
+      model: string | undefined
+      moderation: "auto" | undefined
+      output_compression: number | undefined
+      output_format: "png" | "jpeg" | "webp" | undefined
+      partial_images: number | undefined
+      quality: "auto" | "low" | "medium" | "high" | undefined
+      size: "auto" | "1024x1024" | "1024x1536" | "1536x1024" | undefined
+    }
+  | {
+      type: "local_shell"
+    }
+
+export type OpenAIResponsesReasoning = {
+  type: "reasoning"
+  id: string
+  encrypted_content?: string | null
+  summary: Array<{
+    type: "summary_text"
+    text: string
+  }>
+}
@@ -0,0 +1,177 @@
+import {
+  type LanguageModelV2CallOptions,
+  type LanguageModelV2CallWarning,
+  UnsupportedFunctionalityError,
+} from "@ai-sdk/provider"
+import { codeInterpreterArgsSchema } from "./tool/code-interpreter"
+import { fileSearchArgsSchema } from "./tool/file-search"
+import { webSearchArgsSchema } from "./tool/web-search"
+import { webSearchPreviewArgsSchema } from "./tool/web-search-preview"
+import { imageGenerationArgsSchema } from "./tool/image-generation"
+import type { OpenAIResponsesTool } from "./openai-responses-api-types"
+
+export function prepareResponsesTools({
+  tools,
+  toolChoice,
+  strictJsonSchema,
+}: {
+  tools: LanguageModelV2CallOptions["tools"]
+  toolChoice?: LanguageModelV2CallOptions["toolChoice"]
+  strictJsonSchema: boolean
+}): {
+  tools?: Array<OpenAIResponsesTool>
+  toolChoice?:
+    | "auto"
+    | "none"
+    | "required"
+    | { type: "file_search" }
+    | { type: "web_search_preview" }
+    | { type: "web_search" }
+    | { type: "function"; name: string }
+    | { type: "code_interpreter" }
+    | { type: "image_generation" }
+  toolWarnings: LanguageModelV2CallWarning[]
+} {
+  // when the tools array is empty, change it to undefined to prevent errors:
+  tools = tools?.length ? tools : undefined
+
+  const toolWarnings: LanguageModelV2CallWarning[] = []
+
+  if (tools == null) {
+    return { tools: undefined, toolChoice: undefined, toolWarnings }
+  }
+
+  const openaiTools: Array<OpenAIResponsesTool> = []
+
+  for (const tool of tools) {
+    switch (tool.type) {
+      case "function":
+        openaiTools.push({
+          type: "function",
+          name: tool.name,
+          description: tool.description,
+          parameters: tool.inputSchema,
+          strict: strictJsonSchema,
+        })
+        break
+      case "provider-defined": {
+        switch (tool.id) {
+          case "openai.file_search": {
+            const args = fileSearchArgsSchema.parse(tool.args)
+
+            openaiTools.push({
+              type: "file_search",
+              vector_store_ids: args.vectorStoreIds,
+              max_num_results: args.maxNumResults,
+              ranking_options: args.ranking
+                ? {
+                    ranker: args.ranking.ranker,
+                    score_threshold: args.ranking.scoreThreshold,
+                  }
+                : undefined,
+              filters: args.filters,
+            })
+
+            break
+          }
+          case "openai.local_shell": {
+            openaiTools.push({
+              type: "local_shell",
+            })
+            break
+          }
+          case "openai.web_search_preview": {
+            const args = webSearchPreviewArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "web_search_preview",
+              search_context_size: args.searchContextSize,
+              user_location: args.userLocation,
+            })
+            break
+          }
+          case "openai.web_search": {
+            const args = webSearchArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "web_search",
+              filters: args.filters != null ? { allowed_domains: args.filters.allowedDomains } : undefined,
+              search_context_size: args.searchContextSize,
+              user_location: args.userLocation,
+            })
+            break
+          }
+          case "openai.code_interpreter": {
+            const args = codeInterpreterArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "code_interpreter",
+              container:
+                args.container == null
+                  ? { type: "auto", file_ids: undefined }
+                  : typeof args.container === "string"
+                    ? args.container
+                    : { type: "auto", file_ids: args.container.fileIds },
+            })
+            break
+          }
+          case "openai.image_generation": {
+            const args = imageGenerationArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "image_generation",
+              background: args.background,
+              input_fidelity: args.inputFidelity,
+              input_image_mask: args.inputImageMask
+                ? {
+                    file_id: args.inputImageMask.fileId,
+                    image_url: args.inputImageMask.imageUrl,
+                  }
+                : undefined,
+              model: args.model,
+              moderation: args.moderation,
+              partial_images: args.partialImages,
+              quality: args.quality,
+              output_compression: args.outputCompression,
+              output_format: args.outputFormat,
+              size: args.size,
+            })
+            break
+          }
+        }
+        break
+      }
+      default:
+        toolWarnings.push({ type: "unsupported-tool", tool })
+        break
+    }
+  }
+
+  if (toolChoice == null) {
+    return { tools: openaiTools, toolChoice: undefined, toolWarnings }
+  }
+
+  const type = toolChoice.type
+
+  switch (type) {
+    case "auto":
+    case "none":
+    case "required":
+      return { tools: openaiTools, toolChoice: type, toolWarnings }
+    case "tool":
+      return {
+        tools: openaiTools,
+        toolChoice:
+          toolChoice.toolName === "code_interpreter" ||
+          toolChoice.toolName === "file_search" ||
+          toolChoice.toolName === "image_generation" ||
+          toolChoice.toolName === "web_search_preview" ||
+          toolChoice.toolName === "web_search"
+            ? { type: toolChoice.toolName }
+            : { type: "function", name: toolChoice.toolName },
+        toolWarnings,
+      }
+    default: {
+      const _exhaustiveCheck: never = type
+      throw new UnsupportedFunctionalityError({
+        functionality: `tool choice type: ${_exhaustiveCheck}`,
+      })
+    }
+  }
+}
@@ -0,0 +1 @@
+export type OpenAIResponsesModelId = string
@@ -0,0 +1,88 @@
+import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const codeInterpreterInputSchema = z.object({
+  code: z.string().nullish(),
+  containerId: z.string(),
+})
+
+export const codeInterpreterOutputSchema = z.object({
+  outputs: z
+    .array(
+      z.discriminatedUnion("type", [
+        z.object({ type: z.literal("logs"), logs: z.string() }),
+        z.object({ type: z.literal("image"), url: z.string() }),
+      ]),
+    )
+    .nullish(),
+})
+
+export const codeInterpreterArgsSchema = z.object({
+  container: z
+    .union([
+      z.string(),
+      z.object({
+        fileIds: z.array(z.string()).optional(),
+      }),
+    ])
+    .optional(),
+})
+
+type CodeInterpreterArgs = {
+  /**
+   * The code interpreter container.
+   * Can be a container ID
+   * or an object that specifies uploaded file IDs to make available to your code.
+   */
+  container?: string | { fileIds?: string[] }
+}
+
+export const codeInterpreterToolFactory = createProviderDefinedToolFactoryWithOutputSchema<
+  {
+    /**
+     * The code to run, or null if not available.
+     */
+    code?: string | null
+
+    /**
+     * The ID of the container used to run the code.
+     */
+    containerId: string
+  },
+  {
+    /**
+     * The outputs generated by the code interpreter, such as logs or images.
+     * Can be null if no outputs are available.
+     */
+    outputs?: Array<
+      | {
+          type: "logs"
+
+          /**
+           * The logs output from the code interpreter.
+           */
+          logs: string
+        }
+      | {
+          type: "image"
+
+          /**
+           * The URL of the image output from the code interpreter.
+           */
+          url: string
+        }
+    > | null
+  },
+  CodeInterpreterArgs
+>({
+  id: "openai.code_interpreter",
+  name: "code_interpreter",
+  inputSchema: codeInterpreterInputSchema,
+  outputSchema: codeInterpreterOutputSchema,
+})
+
+export const codeInterpreter = (
+  args: CodeInterpreterArgs = {}, // default
+) => {
+  return codeInterpreterToolFactory(args)
+}
@@ -0,0 +1,128 @@
+import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import type {
+  OpenAIResponsesFileSearchToolComparisonFilter,
+  OpenAIResponsesFileSearchToolCompoundFilter,
+} from "../openai-responses-api-types"
+import { z } from "zod/v4"
+
+const comparisonFilterSchema = z.object({
+  key: z.string(),
+  type: z.enum(["eq", "ne", "gt", "gte", "lt", "lte"]),
+  value: z.union([z.string(), z.number(), z.boolean()]),
+})
+
+const compoundFilterSchema: z.ZodType<any> = z.object({
+  type: z.enum(["and", "or"]),
+  filters: z.array(z.union([comparisonFilterSchema, z.lazy(() => compoundFilterSchema)])),
+})
+
+export const fileSearchArgsSchema = z.object({
+  vectorStoreIds: z.array(z.string()),
+  maxNumResults: z.number().optional(),
+  ranking: z
+    .object({
+      ranker: z.string().optional(),
+      scoreThreshold: z.number().optional(),
+    })
+    .optional(),
+  filters: z.union([comparisonFilterSchema, compoundFilterSchema]).optional(),
+})
+
+export const fileSearchOutputSchema = z.object({
+  queries: z.array(z.string()),
+  results: z
+    .array(
+      z.object({
+        attributes: z.record(z.string(), z.unknown()),
+        fileId: z.string(),
+        filename: z.string(),
+        score: z.number(),
+        text: z.string(),
+      }),
+    )
+    .nullable(),
+})
+
+export const fileSearch = createProviderDefinedToolFactoryWithOutputSchema<
+  {},
+  {
+    /**
+     * The search query to execute.
+     */
+    queries: string[]
+
+    /**
+     * The results of the file search tool call.
+     */
+    results:
+      | null
+      | {
+          /**
+           * Set of 16 key-value pairs that can be attached to an object.
+           * This can be useful for storing additional information about the object
+           * in a structured format, and querying for objects via API or the dashboard.
+           * Keys are strings with a maximum length of 64 characters.
+           * Values are strings with a maximum length of 512 characters, booleans, or numbers.
+           */
+          attributes: Record<string, unknown>
+
+          /**
+           * The unique ID of the file.
+           */
+          fileId: string
+
+          /**
+           * The name of the file.
+           */
+          filename: string
+
+          /**
+           * The relevance score of the file - a value between 0 and 1.
+           */
+          score: number
+
+          /**
+           * The text that was retrieved from the file.
+           */
+          text: string
+        }[]
+  },
+  {
+    /**
+     * List of vector store IDs to search through.
+     */
+    vectorStoreIds: string[]
+
+    /**
+     * Maximum number of search results to return. Defaults to 10.
+     */
+    maxNumResults?: number
+
+    /**
+     * Ranking options for the search.
+     */
+    ranking?: {
+      /**
+       * The ranker to use for the file search.
+       */
+      ranker?: string
+
+      /**
+       * The score threshold for the file search, a number between 0 and 1.
+       * Numbers closer to 1 will attempt to return only the most relevant results,
+       * but may return fewer results.
+       */
+      scoreThreshold?: number
+    }
+
+    /**
+     * A filter to apply.
+     */
+    filters?: OpenAIResponsesFileSearchToolComparisonFilter | OpenAIResponsesFileSearchToolCompoundFilter
+  }
+>({
+  id: "openai.file_search",
+  name: "file_search",
+  inputSchema: z.object({}),
+  outputSchema: fileSearchOutputSchema,
+})
@@ -0,0 +1,115 @@
+import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const imageGenerationArgsSchema = z
+  .object({
+    background: z.enum(["auto", "opaque", "transparent"]).optional(),
+    inputFidelity: z.enum(["low", "high"]).optional(),
+    inputImageMask: z
+      .object({
+        fileId: z.string().optional(),
+        imageUrl: z.string().optional(),
+      })
+      .optional(),
+    model: z.string().optional(),
+    moderation: z.enum(["auto"]).optional(),
+    outputCompression: z.number().int().min(0).max(100).optional(),
+    outputFormat: z.enum(["png", "jpeg", "webp"]).optional(),
+    partialImages: z.number().int().min(0).max(3).optional(),
+    quality: z.enum(["auto", "low", "medium", "high"]).optional(),
+    size: z.enum(["1024x1024", "1024x1536", "1536x1024", "auto"]).optional(),
+  })
+  .strict()
+
+export const imageGenerationOutputSchema = z.object({
+  result: z.string(),
+})
+
+type ImageGenerationArgs = {
+  /**
+   * Background type for the generated image. Default is 'auto'.
+   */
+  background?: "auto" | "opaque" | "transparent"
+
+  /**
+   * Input fidelity for the generated image. Default is 'low'.
+   */
+  inputFidelity?: "low" | "high"
+
+  /**
+   * Optional mask for inpainting.
+   * Contains image_url (string, optional) and file_id (string, optional).
+   */
+  inputImageMask?: {
+    /**
+     * File ID for the mask image.
+     */
+    fileId?: string
+
+    /**
+     * Base64-encoded mask image.
+     */
+    imageUrl?: string
+  }
+
+  /**
+   * The image generation model to use. Default: gpt-image-1.
+   */
+  model?: string
+
+  /**
+   * Moderation level for the generated image. Default: auto.
+   */
+  moderation?: "auto"
+
+  /**
+   * Compression level for the output image. Default: 100.
+   */
+  outputCompression?: number
+
+  /**
+   * The output format of the generated image. One of png, webp, or jpeg.
+   * Default: png
+   */
+  outputFormat?: "png" | "jpeg" | "webp"
+
+  /**
+   * Number of partial images to generate in streaming mode, from 0 (default value) to 3.
+   */
+  partialImages?: number
+
+  /**
+   * The quality of the generated image.
+   * One of low, medium, high, or auto. Default: auto.
+   */
+  quality?: "auto" | "low" | "medium" | "high"
+
+  /**
+   * The size of the generated image.
+   * One of 1024x1024, 1024x1536, 1536x1024, or auto.
+   * Default: auto.
+   */
+  size?: "auto" | "1024x1024" | "1024x1536" | "1536x1024"
+}
+
+const imageGenerationToolFactory = createProviderDefinedToolFactoryWithOutputSchema<
+  {},
+  {
+    /**
+     * The generated image encoded in base64.
+     */
+    result: string
+  },
+  ImageGenerationArgs
+>({
+  id: "openai.image_generation",
+  name: "image_generation",
+  inputSchema: z.object({}),
+  outputSchema: imageGenerationOutputSchema,
+})
+
+export const imageGeneration = (
+  args: ImageGenerationArgs = {}, // default
+) => {
+  return imageGenerationToolFactory(args)
+}
@@ -0,0 +1,65 @@
+import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const localShellInputSchema = z.object({
+  action: z.object({
+    type: z.literal("exec"),
+    command: z.array(z.string()),
+    timeoutMs: z.number().optional(),
+    user: z.string().optional(),
+    workingDirectory: z.string().optional(),
+    env: z.record(z.string(), z.string()).optional(),
+  }),
+})
+
+export const localShellOutputSchema = z.object({
+  output: z.string(),
+})
+
+export const localShell = createProviderDefinedToolFactoryWithOutputSchema<
+  {
+    /**
+     * Execute a shell command on the server.
+     */
+    action: {
+      type: "exec"
+
+      /**
+       * The command to run.
+       */
+      command: string[]
+
+      /**
+       * Optional timeout in milliseconds for the command.
+       */
+      timeoutMs?: number
+
+      /**
+       * Optional user to run the command as.
+       */
+      user?: string
+
+      /**
+       * Optional working directory to run the command in.
+       */
+      workingDirectory?: string
+
+      /**
+       * Environment variables to set for the command.
+       */
+      env?: Record<string, string>
+    }
+  },
+  {
+    /**
+     * The output of local shell tool call.
+     */
+    output: string
+  },
+  {}
+>({
+  id: "openai.local_shell",
+  name: "local_shell",
+  inputSchema: localShellInputSchema,
+  outputSchema: localShellOutputSchema,
+})
@@ -0,0 +1,104 @@
+import { createProviderDefinedToolFactory } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+// Args validation schema
+export const webSearchPreviewArgsSchema = z.object({
+  /**
+   * Search context size to use for the web search.
+   * - high: Most comprehensive context, highest cost, slower response
+   * - medium: Balanced context, cost, and latency (default)
+   * - low: Least context, lowest cost, fastest response
+   */
+  searchContextSize: z.enum(["low", "medium", "high"]).optional(),
+
+  /**
+   * User location information to provide geographically relevant search results.
+   */
+  userLocation: z
+    .object({
+      /**
+       * Type of location (always 'approximate')
+       */
+      type: z.literal("approximate"),
+      /**
+       * Two-letter ISO country code (e.g., 'US', 'GB')
+       */
+      country: z.string().optional(),
+      /**
+       * City name (free text, e.g., 'Minneapolis')
+       */
+      city: z.string().optional(),
+      /**
+       * Region name (free text, e.g., 'Minnesota')
+       */
+      region: z.string().optional(),
+      /**
+       * IANA timezone (e.g., 'America/Chicago')
+       */
+      timezone: z.string().optional(),
+    })
+    .optional(),
+})
+
+export const webSearchPreview = createProviderDefinedToolFactory<
+  {
+    // Web search doesn't take input parameters - it's controlled by the prompt
+  },
+  {
+    /**
+     * Search context size to use for the web search.
+     * - high: Most comprehensive context, highest cost, slower response
+     * - medium: Balanced context, cost, and latency (default)
+     * - low: Least context, lowest cost, fastest response
+     */
+    searchContextSize?: "low" | "medium" | "high"
+
+    /**
+     * User location information to provide geographically relevant search results.
+     */
+    userLocation?: {
+      /**
+       * Type of location (always 'approximate')
+       */
+      type: "approximate"
+      /**
+       * Two-letter ISO country code (e.g., 'US', 'GB')
+       */
+      country?: string
+      /**
+       * City name (free text, e.g., 'Minneapolis')
+       */
+      city?: string
+      /**
+       * Region name (free text, e.g., 'Minnesota')
+       */
+      region?: string
+      /**
+       * IANA timezone (e.g., 'America/Chicago')
+       */
+      timezone?: string
+    }
+  }
+>({
+  id: "openai.web_search_preview",
+  name: "web_search_preview",
+  inputSchema: z.object({
+    action: z
+      .discriminatedUnion("type", [
+        z.object({
+          type: z.literal("search"),
+          query: z.string().nullish(),
+        }),
+        z.object({
+          type: z.literal("open_page"),
+          url: z.string(),
+        }),
+        z.object({
+          type: z.literal("find"),
+          url: z.string(),
+          pattern: z.string(),
+        }),
+      ])
+      .nullish(),
+  }),
+})
@@ -0,0 +1,103 @@
+import { createProviderDefinedToolFactory } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const webSearchArgsSchema = z.object({
+  filters: z
+    .object({
+      allowedDomains: z.array(z.string()).optional(),
+    })
+    .optional(),
+
+  searchContextSize: z.enum(["low", "medium", "high"]).optional(),
+
+  userLocation: z
+    .object({
+      type: z.literal("approximate"),
+      country: z.string().optional(),
+      city: z.string().optional(),
+      region: z.string().optional(),
+      timezone: z.string().optional(),
+    })
+    .optional(),
+})
+
+export const webSearchToolFactory = createProviderDefinedToolFactory<
+  {
+    // Web search doesn't take input parameters - it's controlled by the prompt
+  },
+  {
+    /**
+     * Filters for the search.
+     */
+    filters?: {
+      /**
+       * Allowed domains for the search.
+       * If not provided, all domains are allowed.
+       * Subdomains of the provided domains are allowed as well.
+       */
+      allowedDomains?: string[]
+    }
+
+    /**
+     * Search context size to use for the web search.
+     * - high: Most comprehensive context, highest cost, slower response
+     * - medium: Balanced context, cost, and latency (default)
+     * - low: Least context, lowest cost, fastest response
+     */
+    searchContextSize?: "low" | "medium" | "high"
+
+    /**
+     * User location information to provide geographically relevant search results.
+     */
+    userLocation?: {
+      /**
+       * Type of location (always 'approximate')
+       */
+      type: "approximate"
+      /**
+       * Two-letter ISO country code (e.g., 'US', 'GB')
+       */
+      country?: string
+      /**
+       * City name (free text, e.g., 'Minneapolis')
+       */
+      city?: string
+      /**
+       * Region name (free text, e.g., 'Minnesota')
+       */
+      region?: string
+      /**
+       * IANA timezone (e.g., 'America/Chicago')
+       */
+      timezone?: string
+    }
+  }
+>({
+  id: "openai.web_search",
+  name: "web_search",
+  inputSchema: z.object({
+    action: z
+      .discriminatedUnion("type", [
+        z.object({
+          type: z.literal("search"),
+          query: z.string().nullish(),
+        }),
+        z.object({
+          type: z.literal("open_page"),
+          url: z.string(),
+        }),
+        z.object({
+          type: z.literal("find"),
+          url: z.string(),
+          pattern: z.string(),
+        }),
+      ])
+      .nullish(),
+  }),
+})
+
+export const webSearch = (
+  args: Parameters<typeof webSearchToolFactory>[0] = {}, // default
+) => {
+  return webSearchToolFactory(args)
+}
@@ -1,4 +1,5 @@
-import type { ModelMessage } from "ai"
+import type { APICallError, ModelMessage } from "ai"
+import { STATUS_CODES } from "http"
 import { unique } from "remeda"
 import type { JSONSchema } from "zod/v4/core"

@@ -308,11 +309,28 @@ export namespace ProviderTransform {
    return schema
  }

-  export function error(providerID: string, message: string) {
+  export function error(providerID: string, error: APICallError) {
+    let message = error.message
    if (providerID === "github-copilot" && message.includes("The requested model is not supported")) {
-      message +=
+      return (
+        message +
        "\n\nMake sure the model is enabled in your copilot settings: https://github.com/settings/copilot/features"
+      )
    }
-    return message
+
+    if (!error.responseBody || (error.statusCode && message !== STATUS_CODES[error.statusCode])) {
+      return message
+    }
+
+    try {
+      const body = JSON.parse(error.responseBody)
+      // try to extract common error message fields
+      const errMsg = body.message || body.error
+      if (errMsg && typeof errMsg === "string") {
+        return `${message}: ${errMsg}`
+      }
+    } catch {}
+
+    return `${message}: ${error.responseBody}`
  }
 }
@@ -43,7 +43,6 @@ import { Snapshot } from "@/snapshot"
 import { SessionSummary } from "@/session/summary"
 import { GlobalBus } from "@/bus/global"
 import { SessionStatus } from "@/session/status"
-import { ShareNext } from "@/share/share-next"

 // @ts-ignore This global is needed to prevent ai-sdk from logging warnings to stdout https://github.com/vercel/ai/blob/2dc67e0ef538307f21368db32d5a12345d98831b/packages/ai/src/logger/log-warnings.ts#L85
 globalThis.AI_SDK_LOG_WARNINGS = false
@@ -2037,6 +2036,9 @@ export namespace Server {
              await stream.writeSSE({
                data: JSON.stringify(event),
              })
+              if (event.type === Bus.InstanceDisposed.type) {
+                stream.close()
+              }
            })
            await new Promise<void>((resolve) => {
              stream.onAbort(() => {
@@ -178,7 +178,7 @@ export namespace SessionCompaction {
            content: [
              {
                type: "text",
-                text: "Provide a detailed but concise summary of our conversation above. Focus on information that would be helpful for continuing the conversation, including what we did, what we're doing, which files we're working on, and what we're going to do next.",
+                text: "Summarize our conversation above. This summary will be the only context available when the conversation continues, so preserve critical information including: what was accomplished, current work in progress, files involved, next steps, and any key user requests or constraints. Be concise but detailed enough that work can continue seamlessly.",
              },
            ],
          },
@@ -739,7 +739,7 @@ export namespace MessageV2 {
          { cause: e },
        ).toObject()
      case APICallError.isInstance(e):
-        const message = ProviderTransform.error(ctx.providerID, e.message)
+        const message = ProviderTransform.error(ctx.providerID, e)
        return new MessageV2.APIError(
          {
            message,
@@ -1110,6 +1110,7 @@ export namespace SessionPrompt {
        messageID: userMessage.info.id,
        sessionID: userMessage.info.sessionID,
        type: "text",
+        // TODO (for mr dax): update to use the anthropic full fledged one (see plan-reminder-anthropic.txt)
        text: PROMPT_PLAN,
        synthetic: true,
      })
@@ -6,5 +6,7 @@ Focus on information that would be helpful for continuing the conversation, incl
 - What is currently being worked on
 - Which files are being modified
 - What needs to be done next
+- Key user requests, constraints, or preferences that should persist
+- Important technical decisions and why they were made

 Your summary should be comprehensive enough to provide context but concise enough to be quickly understood.
@@ -0,0 +1,67 @@
+<system-reminder>
+# Plan Mode - System Reminder
+
+Plan mode is active. The user indicated that they do not want you to execute yet -- you MUST NOT make any edits (with the exception of the plan file mentioned below), run any non-readonly tools (including changing configs or making commits), or otherwise make any changes to the system. This supercedes any other instructions you have received.
+
+---
+
+## Plan File Info
+
+No plan file exists yet. You should create your plan at `/Users/aidencline/.claude/plans/happy-waddling-feigenbaum.md` using the Write tool.
+
+You should build your plan incrementally by writing to or editing this file. NOTE that this is the only file you are allowed to edit - other than this you are only allowed to take READ-ONLY actions.
+
+**Plan File Guidelines:** The plan file should contain only your final recommended approach, not all alternatives considered. Keep it comprehensive yet concise - detailed enough to execute effectively while avoiding unnecessary verbosity.
+
+---
+
+## Enhanced Planning Workflow
+
+### Phase 1: Initial Understanding
+
+**Goal:** Gain a comprehensive understanding of the user's request by reading through code and asking them questions. Critical: In this phase you should only use the Explore subagent type.
+
+1. Understand the user's request thoroughly
+
+2. **Launch up to 3 Explore agents IN PARALLEL** (single message, multiple tool calls) to efficiently explore the codebase. Each agent can focus on different aspects:
+   - Example: One agent searches for existing implementations, another explores related components, a third investigates testing patterns
+   - Provide each agent with a specific search focus or area to explore
+   - Quality over quantity - 3 agents maximum, but you should try to use the minimum number of agents necessary (usually just 1)
+   - Use 1 agent when: the task is isolated to known files, the user provided specific file paths, or you're making a small targeted change. Use multiple agents when: the scope is uncertain, multiple areas of the codebase are involved, or you need to understand existing patterns before planning.
+   - Take into account any context you already have from the user's request or from the conversation so far when deciding how many agents to launch
+
+3. Use AskUserQuestion tool to clarify ambiguities in the user request up front.
+
+### Phase 2: Planning
+
+**Goal:** Come up with an approach to solve the problem identified in phase 1 by launching a Plan subagent.
+
+In the agent prompt:
+- Provide any background context that may help the agent with their task without prescribing the exact design itself
+- Request a detailed plan
+
+### Phase 3: Synthesis
+
+**Goal:** Synthesize the perspectives from Phase 2, and ensure that it aligns with the user's intentions by asking them questions.
+
+1. Collect all agent responses
+2. Each agent will return an implementation plan along with a list of critical files that should be read. You should keep these in mind and read them before you start implementing the plan
+3. Use AskUserQuestion to ask the users questions about trade offs.
+
+### Phase 4: Final Plan
+
+Once you have all the information you need, ensure that the plan file has been updated with your synthesized recommendation including:
+- Recommended approach with rationale
+- Key insights from different perspectives
+- Critical files that need modification
+
+### Phase 5: Call ExitPlanMode
+
+At the very end of your turn, once you have asked the user questions and are happy with your final plan file - you should always call ExitPlanMode to indicate to the user that you are done planning.
+
+This is critical - your turn should only end with either asking the user a question or calling ExitPlanMode. Do not stop unless it's for these 2 reasons.
+
+---
+
+**NOTE:** At any point in time through this workflow you should feel free to ask the user questions or clarifications. Don't make large assumptions about user intent. The goal is to present a well researched plan to the user, and tie any loose ends before implementation begins.
+</system-reminder>
@@ -1,8 +1,26 @@
 <system-reminder>
+# Plan Mode - System Reminder
+
 CRITICAL: Plan mode ACTIVE - you are in READ-ONLY phase. STRICTLY FORBIDDEN:
 ANY file edits, modifications, or system changes. Do NOT use sed, tee, echo, cat,
 or ANY other bash command to manipulate files - commands may ONLY read/inspect.
 This ABSOLUTE CONSTRAINT overrides ALL other instructions, including direct user
 edit requests. You may ONLY observe, analyze, and plan. Any modification attempt
 is a critical violation. ZERO exceptions.
+
+---
+
+## Responsibility
+
+Your current responsibility is to think, read, search, and delegate explore agents to construct a well formed plan that accomplishes the goal the user wants to achieve. Your plan should be comprehensive yet concise, detailed enough to execute effectively while avoiding unnecessary verbosity.
+
+Ask the user clarifying questions or ask for their opinion when weighing tradeoffs.
+
+**NOTE:** At any point in time through this workflow you should feel free to ask the user questions or clarifications. Don't make large assumptions about user intent. The goal is to present a well researched plan to the user, and tie any loose ends before implementation begins.
+
+---
+
+## Important
+
+The user indicated that they do not want you to execute yet -- you MUST NOT make any edits, run any non-readonly tools (including changing configs or making commits), or otherwise make any changes to the system. This supercedes any other instructions you have received.
 </system-reminder>
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/plugin",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "type": "module",
  "scripts": {
    "typecheck": "tsgo --noEmit",
@@ -24,4 +24,4 @@
    "typescript": "catalog:",
    "@typescript/native-preview": "catalog:"
  }
-}
+}
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/sdk",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "type": "module",
  "scripts": {
    "typecheck": "tsgo --noEmit",
@@ -26,4 +26,4 @@
  "publishConfig": {
    "directory": "dist"
  }
-}
+}
@@ -1,5 +1,12 @@
 // This file is auto-generated by @hey-api/openapi-ts

+export type EventServerInstanceDisposed = {
+  type: "server.instance.disposed"
+  properties: {
+    directory: string
+  }
+}
+
 export type EventInstallationUpdated = {
  type: "installation.updated"
  properties: {
@@ -656,6 +663,7 @@ export type EventServerConnected = {
 }

 export type Event =
+  | EventServerInstanceDisposed
  | EventInstallationUpdated
  | EventInstallationUpdateAvailable
  | EventLspClientDiagnostics
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/slack",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "type": "module",
  "scripts": {
    "dev": "bun run src/index.ts",
@@ -1,7 +1,7 @@
 {
  "name": "@opencode-ai/tauri",
  "private": true,
-  "version": "1.0.122",
+  "version": "1.0.125",
  "type": "module",
  "scripts": {
    "dev": "vite",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/ui",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "type": "module",
  "exports": {
    "./*": "./src/components/*.tsx",
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/util",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "private": true,
  "type": "module",
  "exports": {
@@ -1,7 +1,7 @@
 {
  "name": "@opencode-ai/web",
  "type": "module",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "scripts": {
    "dev": "astro dev",
    "dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
@@ -36,7 +36,7 @@ look at these below.

 Subagents are specialized assistants that primary agents can invoke for specific tasks. You can also manually invoke them by **@ mentioning** them in your messages.

-OpenCode comes with one built-in subagent, **General**. We'll look at this below.
+OpenCode comes with two built-in subagents, **General** and **Explore**. We'll look at this below.

 ---

@@ -76,6 +76,14 @@ A general-purpose agent for researching complex questions, searching for code, a

 ---

+### Explore
+
+_Mode_: `subagent`
+
+A fast agent specialized for exploring codebases. Use this when you need to quickly find files by patterns, search code for keywords, or answer questions about the codebase.
+
+---
+
 ## Usage

 1. For primary agents, use the **Tab** key to cycle through them during a session. You can also use your configured `switch_agent` keybind.
@@ -228,10 +228,6 @@ Apply patches to files.

 This tool applies patch files to your codebase. Useful for applying diffs and patches from various sources.

-:::tip
-This tool is disabled for subagents by default, but you can enable it manually. [Learn more](/docs/agents/#tools)
-:::
-
 ---

 ### todowrite
@@ -249,7 +245,7 @@ Manage todo lists during coding sessions.

 Creates and updates task lists to track progress during complex operations. The LLM uses this to organize multi-step tasks.

-:::tip
+:::note
 This tool is disabled for subagents by default, but you can enable it manually. [Learn more](/docs/agents/#tools)
 :::

@@ -270,6 +266,10 @@ Read existing todo lists.

 Reads the current todo list state. Used by the LLM to track what tasks are pending or completed.

+:::note
+This tool is disabled for subagents by default, but you can enable it manually. [Learn more](/docs/agents/#tools)
+:::
+
 ---

 ### webfetch
@@ -2,7 +2,7 @@
  "name": "opencode",
  "displayName": "opencode",
  "description": "opencode for VS Code",
-  "version": "1.0.122",
+  "version": "1.0.125",
  "publisher": "sst-dev",
  "repository": {
    "type": "git",
Author	SHA1	Message	Date
GitHub Action	66c2caf07a	chore: format code format / format (push) Has been cancelled Details test / test (push) Has been cancelled Details Update Nix Hashes / update (push) Has been cancelled Details	2025-12-01 14:43:56 +00:00
blacksmith-sh[bot]andGitHub	014d9c27f3	Migrate workflows to Blacksmith	2025-12-01 14:43:21 +00:00
Dax Raad	0ddfdb55d3	log fetch time	2025-12-01 09:35:08 -05:00
GitHub Actionandopencode	fc439455a7	chore: format code	2025-12-01 14:23:36 +00:00
opencode	c0fc02769b	release: v1.0.125 Update Nix Hashes / update (push) Has been cancelled Details	2025-12-01 14:23:35 +00:00
Dax Raad	068ac68496	docs: add rebase instructions to commit command	2025-12-01 09:14:54 -05:00
Dax Raad	7da6a22df2	core: close SSE stream when instance is disposed	2025-12-01 09:14:00 -05:00
Sebastian Herrlinger	e37aeb6e6a	no conceal for write tool output	2025-12-01 15:12:47 +01:00
GitHub Action	eeb0d2b8e0	chore: format code	2025-12-01 13:27:29 +00:00
adamelmore	bf8c866bf7	chore: otf fonts	2025-12-01 07:20:53 -06:00
GitHub Action	75354b0002	ignore: update download stats 2025-12-01	2025-12-01 12:08:56 +00:00
opencode	4eb4d97d51	release: v1.0.124 Update Nix Hashes / update (push) Has been cancelled Details	2025-12-01 09:20:29 +00:00
Aiden Cline	b1b82977ec	tweak: better err msgs	2025-12-01 01:33:32 -06:00
Aiden Cline	f6262460ff	fix: drop absolute flag to resolve issues when using older git versions	2025-12-01 00:23:19 -06:00
GitHub Action	560a610384	chore: format code	2025-12-01 02:53:41 +00:00
Aiden Cline	0308b2ff98	bump anthropic plugin to fix header issue	2025-11-30 20:52:50 -06:00
opencode	5b92d49be7	release: v1.0.123 Update Nix Hashes / update (push) Has been cancelled Details	2025-12-01 01:07:50 +00:00
Github Action	0386d0ae09	Update Nix flake.lock and hashes	2025-12-01 01:00:23 +00:00
Sebastian Herrlinger	28bec57e1d	bump opentui to v0.1.54, removing the cc flicker feature, fixing diffs and input event handling	2025-12-01 01:57:55 +01:00
Shantur Rathore GitHub Aiden Cline	aaa31f02af	tweak: compaction prompt (#4838 ) Co-authored-by: Aiden Cline <aidenpcline@gmail.com>	2025-11-30 14:31:57 -06:00
Justin VogtandGitHub	ff609a52c1	docs: explore subagent (#4893 )	2025-11-30 14:04:27 -06:00
GitHub Action	1e30793f0a	ignore: update download stats 2025-11-30	2025-11-30 12:04:23 +00:00
Adam	5268eb479d	feat(share): split diffs on wide screens	2025-11-30 05:29:07 -06:00
Aiden Cline	a4eba2e6e9	tweak: plan prompt	2025-11-30 01:03:35 -06:00
Aiden Cline	0f30115205	chore: cleanup	2025-11-30 00:32:43 -06:00
opencode-agent[bot]GitHubopencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>rekram1-node	ae500ea01d	Added "Open docs" command to palette (#4915 ) Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com> Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2025-11-29 23:49:45 -06:00
Justin VogtandGitHub	087479d459	docs: Move tip to correct tool (#4891 )	2025-11-29 22:03:20 -06:00
Aiden Cline Aiden Cline OpeOginni GitHub Action	6e2379a28c	get codex working in copilot (#4914 ) Co-authored-by: OpeOginni <107570612+OpeOginni@users.noreply.github.com> Co-authored-by: GitHub Action <action@github.com>	2025-11-29 21:47:29 -06:00
				`@@ -0,0 +1 @@`
				`export type OpenAIResponsesModelId = string`