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1 Commits

Author SHA1 Message Date
opencode aaddd532aa release: v1.0.116 2025-11-27 01:21:40 +00:00
92 changed files with 488 additions and 4039 deletions
+1 -1
View File
@@ -30,4 +30,4 @@ jobs:
env:
OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
with:
model: opencode/claude-haiku-4-5
model: opencode/glm-4.6
-3
View File
@@ -1,14 +1,11 @@
name: snapshot
on:
workflow_dispatch:
push:
branches:
- dev
- test-bedrock
- v0
- otui-diffs
- snapshot-*
concurrency: ${{ github.workflow }}-${{ github.ref }}
-2
View File
@@ -18,7 +18,6 @@ on:
jobs:
update:
if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name == github.repository
runs-on: ubuntu-latest
env:
SYSTEM: x86_64-linux
@@ -30,7 +29,6 @@ jobs:
token: ${{ secrets.GITHUB_TOKEN }}
fetch-depth: 0
ref: ${{ github.head_ref || github.ref_name }}
repository: ${{ github.event.pull_request.head.repo.full_name || github.repository }}
- name: Setup Nix
uses: DeterminateSystems/nix-installer-action@v20
-7
View File
@@ -1,9 +1,2 @@
#!/bin/sh
# Check if bun version matches package.json
EXPECTED_VERSION=$(grep '"packageManager"' package.json | sed 's/.*"bun@\([^"]*\)".*/\1/')
CURRENT_VERSION=$(bun --version)
if [ "$CURRENT_VERSION" != "$EXPECTED_VERSION" ]; then
echo "Error: Bun version $CURRENT_VERSION does not match expected version $EXPECTED_VERSION from package.json"
exit 1
fi
bun typecheck
-7
View File
@@ -16,12 +16,5 @@
"type": "remote",
"url": "https://mcp.exa.ai/mcp",
},
"morph": {
"type": "local",
"command": ["bunx", "@morphllm/morphmcp"],
"environment": {
"ENABLED_TOOLS": "warp_grep",
},
},
},
}
-4
View File
@@ -152,7 +152,3 @@
| 2025-11-24 | 856,733 (+10,124) | 804,033 (+8,964) | 1,660,766 (+19,088) |
| 2025-11-25 | 869,423 (+12,690) | 817,339 (+13,306) | 1,686,762 (+25,996) |
| 2025-11-26 | 881,414 (+11,991) | 832,518 (+15,179) | 1,713,932 (+27,170) |
| 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) |
+43 -46
View File
@@ -8,7 +8,6 @@
"@aws-sdk/client-s3": "3.933.0",
"@opencode-ai/script": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
"typescript": "catalog:",
},
"devDependencies": {
"@tsconfig/bun": "catalog:",
@@ -20,7 +19,7 @@
},
"packages/console/app": {
"name": "@opencode-ai/console-app",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@ibm/plex": "6.4.1",
@@ -48,7 +47,7 @@
},
"packages/console/core": {
"name": "@opencode-ai/console-core",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@aws-sdk/client-sts": "3.782.0",
"@jsx-email/render": "1.1.1",
@@ -75,7 +74,7 @@
},
"packages/console/function": {
"name": "@opencode-ai/console-function",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@ai-sdk/anthropic": "2.0.0",
"@ai-sdk/openai": "2.0.2",
@@ -99,7 +98,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -123,7 +122,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/sdk": "workspace:*",
@@ -164,7 +163,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@opencode-ai/ui": "workspace:*",
"@opencode-ai/util": "workspace:*",
@@ -192,7 +191,7 @@
},
"packages/function": {
"name": "@opencode-ai/function",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@octokit/auth-app": "8.0.1",
"@octokit/rest": "22.0.0",
@@ -208,7 +207,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.0.124",
"version": "1.0.116",
"bin": {
"opencode": "./bin/opencode",
},
@@ -217,15 +216,13 @@
"@actions/github": "6.0.1",
"@agentclientprotocol/sdk": "0.5.1",
"@ai-sdk/amazon-bedrock": "3.0.57",
"@ai-sdk/anthropic": "2.0.50",
"@ai-sdk/anthropic": "2.0.45",
"@ai-sdk/azure": "2.0.73",
"@ai-sdk/google": "2.0.44",
"@ai-sdk/google-vertex": "3.0.81",
"@ai-sdk/google": "2.0.42",
"@ai-sdk/google-vertex": "3.0.74",
"@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:",
@@ -237,9 +234,9 @@
"@opencode-ai/script": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
"@opencode-ai/util": "workspace:*",
"@openrouter/ai-sdk-provider": "1.2.8",
"@opentui/core": "0.1.54",
"@opentui/solid": "0.1.54",
"@openrouter/ai-sdk-provider": "1.2.5",
"@opentui/core": "0.1.50",
"@opentui/solid": "0.1.50",
"@parcel/watcher": "2.5.1",
"@pierre/precision-diffs": "catalog:",
"@solid-primitives/event-bus": "1.1.2",
@@ -258,7 +255,7 @@
"jsonc-parser": "3.3.1",
"minimatch": "10.0.3",
"open": "10.1.2",
"opentui-spinner": "0.0.6",
"opentui-spinner": "0.0.5",
"partial-json": "0.1.7",
"remeda": "catalog:",
"solid-js": "catalog:",
@@ -297,7 +294,7 @@
},
"packages/plugin": {
"name": "@opencode-ai/plugin",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"zod": "catalog:",
@@ -317,7 +314,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.0.124",
"version": "1.0.116",
"devDependencies": {
"@hey-api/openapi-ts": "0.81.0",
"@tsconfig/node22": "catalog:",
@@ -328,7 +325,7 @@
},
"packages/slack": {
"name": "@opencode-ai/slack",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"@slack/bolt": "^3.17.1",
@@ -341,7 +338,7 @@
},
"packages/tauri": {
"name": "@opencode-ai/tauri",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@tauri-apps/api": "^2",
"@tauri-apps/plugin-opener": "^2",
@@ -354,7 +351,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/sdk": "workspace:*",
@@ -386,7 +383,7 @@
},
"packages/util": {
"name": "@opencode-ai/util",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"zod": "catalog:",
},
@@ -396,7 +393,7 @@
},
"packages/web": {
"name": "@opencode-ai/web",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@astrojs/cloudflare": "12.6.3",
"@astrojs/markdown-remark": "6.3.1",
@@ -493,9 +490,9 @@
"@ai-sdk/gateway": ["@ai-sdk/gateway@2.0.12", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17", "@vercel/oidc": "3.0.5" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-W+cB1sOWvPcz9qiIsNtD+HxUrBUva2vWv2K1EFukuImX+HA0uZx3EyyOjhYQ9gtf/teqEG80M6OvJ7xx/VLV2A=="],
"@ai-sdk/google": ["@ai-sdk/google@2.0.44", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.18" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-c5dck36FjqiVoeeMJQLTEmUheoURcGTU/nBT6iJu8/nZiKFT/y8pD85KMDRB7RerRYaaQOtslR2d6/5PditiRw=="],
"@ai-sdk/google": ["@ai-sdk/google@2.0.42", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Jdn+3TZm4iIt62CUjjUoIOshqFIXyzNmUDfkSVV4FcjlSo5+AuhzI1KC7QiNHlqPNejzR6NLIqGJx96VAES34g=="],
"@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@3.0.81", "", { "dependencies": { "@ai-sdk/anthropic": "2.0.50", "@ai-sdk/google": "2.0.44", "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.18", "google-auth-library": "^9.15.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-yrl5Ug0Mqwo9ya45oxczgy2RWgpEA/XQQCSFYP+3NZMQ4yA3Iim1vkOjVCsGaZZ8rjVk395abi1ZMZV0/6rqVA=="],
"@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@3.0.74", "", { "dependencies": { "@ai-sdk/anthropic": "2.0.45", "@ai-sdk/google": "2.0.42", "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17", "google-auth-library": "^9.15.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-W0375p41RQOheAmy7iJGtuJWQWX/aKkO4sJHf6eIYa3bkz93Cbo1aRG1X7ocyMusLZ3dIaW7x6X9WHD8IHkNfg=="],
"@ai-sdk/mcp": ["@ai-sdk/mcp@0.0.8", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17", "pkce-challenge": "^5.0.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-9y9GuGcZ9/+pMIHfpOCJgZVp+AZMv6TkjX2NVT17SQZvTF2N8LXuCXyoUPyi1PxIxzxl0n463LxxaB2O6olC+Q=="],
@@ -505,7 +502,7 @@
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"@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/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=="],
"@alloc/quick-lru": ["@alloc/quick-lru@5.2.0", "", {}, "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw=="],
@@ -1081,27 +1078,27 @@
"@opencode-ai/web": ["@opencode-ai/web@workspace:packages/web"],
"@openrouter/ai-sdk-provider": ["@openrouter/ai-sdk-provider@1.2.8", "", { "dependencies": { "@openrouter/sdk": "^0.1.8" }, "peerDependencies": { "ai": "^5.0.0", "zod": "^3.24.1 || ^v4" } }, "sha512-pQT8AzZBKg9f4bkt4doF486ZlhK0XjKkevrLkiqYgfh1Jplovieu28nK4Y+xy3sF18/mxjqh9/2y6jh01qzLrA=="],
"@openrouter/ai-sdk-provider": ["@openrouter/ai-sdk-provider@1.2.5", "", { "dependencies": { "@openrouter/sdk": "^0.1.8" }, "peerDependencies": { "ai": "^5.0.0", "zod": "^3.24.1 || ^v4" } }, "sha512-NrvJFPvdEUo6DYUQIVWPGfhafuZ2PAIX7+CUMKGknv8TcTNVo0TyP1y5SU7Bgjf/Wup9/74UFKUB07icOhVZjQ=="],
"@openrouter/sdk": ["@openrouter/sdk@0.1.27", "", { "dependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-RH//L10bSmc81q25zAZudiI4kNkLgxF2E+WU42vghp3N6TEvZ6F0jK7uT3tOxkEn91gzmMw9YVmDENy7SJsajQ=="],
"@opentelemetry/api": ["@opentelemetry/api@1.9.0", "", {}, "sha512-3giAOQvZiH5F9bMlMiv8+GSPMeqg0dbaeo58/0SlA9sxSqZhnUtxzX9/2FzyhS9sWQf5S0GJE0AKBrFqjpeYcg=="],
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@@ -2971,7 +2968,7 @@
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"opentui-spinner": ["opentui-spinner@0.0.6", "", { "dependencies": { "cli-spinners": "^3.3.0" }, "peerDependencies": { "@opentui/core": "^0.1.49", "@opentui/react": "^0.1.49", "@opentui/solid": "^0.1.49", "typescript": "^5" }, "optionalPeers": ["@opentui/react", "@opentui/solid"] }, "sha512-xupLOeVQEAXEvVJCvHkfX6fChDWmJIPHe5jyUrVb8+n4XVTX8mBNhitFfB9v2ZbkC1H2UwPab/ElePHoW37NcA=="],
"opentui-spinner": ["opentui-spinner@0.0.5", "", { "dependencies": { "cli-spinners": "^3.3.0" }, "peerDependencies": { "@opentui/core": "^0.1.49", "@opentui/react": "^0.1.49", "@opentui/solid": "^0.1.49", "typescript": "^5" }, "optionalPeers": ["@opentui/react", "@opentui/solid"] }, "sha512-abSWzWA7eyuD0PjerAWbBznLmOQn+8xRDaLGCVIs4ctETi2laNFr5KwicYnPXsHZpPc2neV7WtQm+diCEfOhLA=="],
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@@ -3739,22 +3736,20 @@
"@ai-sdk/amazon-bedrock/@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/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-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/@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-vertex/@ai-sdk/anthropic": ["@ai-sdk/anthropic@2.0.45", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Ipv62vavDCmrV/oE/lXehL9FzwQuZOnnlhPEftWizx464Wb6lvnBTJx8uhmEYruFSzOWTI95Z33ncZ4tA8E6RQ=="],
"@ai-sdk/google-vertex/@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/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=="],
@@ -4077,7 +4072,7 @@
"npm-run-path/path-key": ["path-key@4.0.0", "", {}, "sha512-haREypq7xkM7ErfgIyA0z+Bj4AGKlMSdlQE2jvJo6huWD1EdkKYV+G/T4nq0YEF2vgTT8kqMFKo1uHn950r4SQ=="],
"opencode/@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=="],
"opencode/@ai-sdk/anthropic": ["@ai-sdk/anthropic@2.0.45", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.17" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Ipv62vavDCmrV/oE/lXehL9FzwQuZOnnlhPEftWizx464Wb6lvnBTJx8uhmEYruFSzOWTI95Z33ncZ4tA8E6RQ=="],
"opencode/@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=="],
@@ -4623,6 +4618,8 @@
"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@3.0.17", "", { "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/@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=="],
Generated
+3 -3
View File
@@ -2,11 +2,11 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1764527385,
"narHash": "sha256-nA5ywiGKl76atrbdZ5Aucd8SjF/v8ew9b9QsC+MKL14=",
"lastModified": 1764081664,
"narHash": "sha256-sUoHmPr/EwXzRMpv1u/kH+dXuvJEyyF2Q7muE+t0EU4=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "23258e03aaa49b3a68597e3e50eb0cbce7e42e9d",
"rev": "dc205f7b4fdb04c8b7877b43edb7b73be7730081",
"type": "github"
},
"original": {
+1 -1
View File
@@ -1,3 +1,3 @@
{
"nodeModules": "sha256-CrewwFMa3zxKTM/XpnRVQm75FB7Jk1tXX40D+kYt0YE="
"nodeModules": "sha256-XFJXjBWbHIUWKdSOZkGW7VmUPBVtGRgLHM2/1xVThFc="
}
+1 -2
View File
@@ -63,8 +63,7 @@
"dependencies": {
"@aws-sdk/client-s3": "3.933.0",
"@opencode-ai/script": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
"typescript": "catalog:"
"@opencode-ai/sdk": "workspace:*"
},
"repository": {
"type": "git",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-app",
"version": "1.0.124",
"version": "1.0.116",
"type": "module",
"scripts": {
"typecheck": "tsgo --noEmit",
@@ -36,7 +36,6 @@ ${body.email}`.trim()
to: "contact@anoma.ly",
subject: `Enterprise Inquiry from ${body.name}`,
body: emailContent,
replyTo: body.email,
})
return Response.json({ success: true, message: "Form submitted successfully" }, { status: 200 })
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/console-core",
"version": "1.0.124",
"version": "1.0.116",
"private": true,
"type": "module",
"dependencies": {
-2
View File
@@ -22,7 +22,6 @@ export namespace AWS {
to: z.string(),
subject: z.string(),
body: z.string(),
replyTo: z.string().optional(),
}),
async (input) => {
const res = await createClient().fetch("https://email.us-east-1.amazonaws.com/v2/email/outbound-emails", {
@@ -36,7 +35,6 @@ export namespace AWS {
Destination: {
ToAddresses: [input.to],
},
...(input.replyTo && { ReplyToAddresses: [input.replyTo] }),
Content: {
Simple: {
Subject: {
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-function",
"version": "1.0.124",
"version": "1.0.116",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-mail",
"version": "1.0.124",
"version": "1.0.116",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
+1 -2
View File
@@ -9,8 +9,7 @@
<link rel="shortcut icon" href="/favicon.ico" />
<link rel="apple-touch-icon" sizes="180x180" href="/apple-touch-icon.png" />
<link rel="manifest" href="/site.webmanifest" />
<meta name="theme-color" content="#F8F7F7" />
<meta name="theme-color" content="#131010" media="(prefers-color-scheme: dark)" />
<meta name="theme-color" content="#000000" />
<meta property="og:image" content="/social-share.png" />
<meta property="twitter:image" content="/social-share.png" />
</head>
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/desktop",
"version": "1.0.124",
"version": "1.0.116",
"description": "",
"type": "module",
"scripts": {
+35 -29
View File
@@ -12,7 +12,7 @@ import { ProgressCircle } from "@opencode-ai/ui/progress-circle"
import { Tabs } from "@opencode-ai/ui/tabs"
import { Code } from "@opencode-ai/ui/code"
import { SessionTurn } from "@opencode-ai/ui/session-turn"
import { SessionMessageRail } from "@opencode-ai/ui/session-message-rail"
import { MessageNav } from "@opencode-ai/ui/message-nav"
import { SessionReview } from "@opencode-ai/ui/session-review"
import { SelectDialog } from "@opencode-ai/ui/select-dialog"
import {
@@ -333,35 +333,43 @@ export default function Page() {
flex: layout.review.state() === "pane",
}}
>
<div
classList={{
"relative shrink-0 py-3 flex flex-col gap-6 flex-1 min-h-0 w-full": true,
"max-w-146 mx-auto": !wide(),
}}
>
<div class="relative shrink-0 py-3 flex flex-col gap-6 flex-1 min-h-0 w-full max-w-2xl mx-auto">
<Switch>
<Match when={session.id}>
<div class="flex items-start justify-start h-full min-h-0">
<SessionMessageRail
messages={session.messages.user()}
current={session.messages.active()}
onMessageSelect={session.messages.setActive}
working={session.working()}
wide={wide()}
/>
<Show when={session.messages.user().length > 1}>
<>
<MessageNav
class="@6xl:hidden mt-3 mr-8"
messages={session.messages.user()}
current={session.messages.active()}
onMessageSelect={session.messages.setActive}
size="compact"
working={session.working()}
/>
<MessageNav
classList={{
"hidden @6xl:flex": true,
"mt-0.5 mr-3 absolute right-full": wide(),
"mt-3 mr-8": !wide(),
}}
messages={session.messages.user()}
current={session.messages.active()}
onMessageSelect={session.messages.setActive}
size={wide() ? "normal" : "compact"}
working={session.working()}
/>
</>
</Show>
<SessionTurn
sessionID={session.id!}
messageID={session.messages.active()?.id!}
classes={{
root: "pb-20 flex-1 min-w-0",
content: "pb-20",
container: "w-full " + (wide() ? "max-w-146 mx-auto px-6" : "pr-6 pl-18"),
}}
classes={{ root: "pb-20 flex-1 min-w-0", content: "pb-20", container: "px-6" }}
/>
</div>
</Match>
<Match when={true}>
<div class="size-full flex flex-col pb-45 justify-end items-start gap-4 flex-[1_0_0] self-stretch max-w-146 mx-auto px-6">
<div class="size-full flex flex-col pb-45 justify-end items-start gap-4 flex-[1_0_0] self-stretch">
<div class="text-20-medium text-text-weaker">New session</div>
<div class="flex justify-center items-center gap-3">
<Icon name="folder" size="small" />
@@ -382,14 +390,12 @@ export default function Page() {
</div>
</Match>
</Switch>
<div class="absolute inset-x-0 bottom-8 flex flex-col justify-center items-center z-50">
<div class="w-full max-w-146 px-6">
<PromptInput
ref={(el) => {
inputRef = el
}}
/>
</div>
<div class="absolute inset-x-0 px-6 max-w-2xl flex flex-col justify-center items-center z-50 mx-auto bottom-8">
<PromptInput
ref={(el) => {
inputRef = el
}}
/>
</div>
</div>
<Show when={layout.review.state() === "pane" && session.diffs().length}>
@@ -492,7 +498,7 @@ export default function Page() {
</DragOverlay>
</DragDropProvider>
<Show when={session.layout.tabs.active}>
<div class="absolute inset-x-0 px-6 max-w-146 flex flex-col justify-center items-center z-50 mx-auto bottom-8">
<div class="absolute inset-x-0 px-6 max-w-2xl flex flex-col justify-center items-center z-50 mx-auto bottom-8">
<PromptInput
ref={(el) => {
inputRef = el
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/enterprise",
"version": "1.0.124",
"version": "1.0.116",
"private": true,
"type": "module",
"scripts": {
-2
View File
@@ -9,8 +9,6 @@ export default createHandler(() => (
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>OpenCode</title>
<meta name="theme-color" content="#F8F7F7" />
<meta name="theme-color" content="#131010" media="(prefers-color-scheme: dark)" />
<meta property="og:image" content="/social-share.png" />
<meta property="twitter:image" content="/social-share.png" />
{assets}
@@ -12,7 +12,7 @@ import { iife } from "@opencode-ai/util/iife"
import { Binary } from "@opencode-ai/util/binary"
import { NamedError } from "@opencode-ai/util/error"
import { DateTime } from "luxon"
import { SessionMessageRail } from "@opencode-ai/ui/session-message-rail"
import { MessageNav } from "@opencode-ai/ui/message-nav"
import { createStore } from "solid-js/store"
import z from "zod"
import NotFound from "../[...404]"
@@ -41,9 +41,6 @@ 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
}
@@ -65,9 +62,6 @@ const getData = query(async (shareID) => {
session_diff_preload: {
[share.sessionID]: [],
},
session_diff_preload_split: {
[share.sessionID]: [],
},
session_status: {
[share.sessionID]: {
type: "idle",
@@ -84,28 +78,16 @@ const getData = query(async (shareID) => {
break
case "session_diff":
result.session_diff[share.sessionID] = item.data
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)),
])
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,
}),
),
)
break
case "message":
result.message[item.data.sessionID] = result.message[item.data.sessionID] ?? []
@@ -187,17 +169,9 @@ 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">
<div class="flex flex-col gap-4 shrink-0">
<div class="h-8 flex gap-4 items-center justify-start self-stretch">
<div class="pl-[2.5px] pr-2 flex items-center gap-1.75 bg-surface-strong shadow-xs-border-base">
<Mark class="shrink-0 w-3 my-0.5" />
@@ -241,6 +215,7 @@ export default function () {
)
const wide = createMemo(() => diffs().length === 0)
const columnPadding = () => (wide() ? "px-6" : "px-21 @4xl:px-6")
return (
<div class="relative bg-background-stronger w-screen h-screen overflow-hidden flex flex-col">
@@ -268,48 +243,64 @@ export default function () {
</div>
</header>
<div class="select-text flex flex-col flex-1 min-h-0">
<div classList={{ "hidden w-full flex-1 min-h-0": true, "md:flex": wide(), "lg:flex": !wide() }}>
<div class="hidden md:flex w-full flex-1 min-h-0">
<div
classList={{
"@container relative shrink-0 pt-14 flex flex-col gap-10 min-h-0 w-full": true,
"mx-auto max-w-146": !wide(),
"@container relative shrink-0 pt-14 flex flex-col gap-10 min-h-0 w-full mx-auto": true,
"max-w-2xl": true,
}}
>
<div
classList={{
"w-full flex justify-start items-start min-w-0": true,
"max-w-146 mx-auto px-6": wide(),
"pr-6 pl-18": !wide(),
}}
>
{title()}
</div>
<div class={columnPadding()}>{title()}</div>
<div class="flex items-start justify-start h-full min-h-0">
<SessionMessageRail
messages={messages()}
current={activeMessage()}
onMessageSelect={setActiveMessage}
wide={wide()}
/>
<Show when={messages().length > 1}>
<>
<div class="md:hidden absolute right-full">
<MessageNav
class="mt-2 mr-3"
messages={messages()}
current={activeMessage()}
onMessageSelect={setActiveMessage}
size="compact"
/>
</div>
<div
classList={{
"hidden md:block": true,
"absolute right-[90%]": !wide(),
"absolute right-full": wide(),
}}
>
<MessageNav
classList={{
"mt-2.5 mr-3": !wide(),
"mt-0.5 mr-8": wide(),
}}
messages={messages()}
current={activeMessage()}
onMessageSelect={setActiveMessage}
size={wide() ? "normal" : "compact"}
/>
</div>
</>
</Show>
<SessionTurn
sessionID={data().sessionID}
messageID={store.messageId ?? firstUserMessage()!.id!}
classes={{
root: "grow",
content: "flex flex-col justify-between items-start",
container: "w-full pb-20 " + (wide() ? "max-w-146 mx-auto px-6" : "pr-6 pl-18"),
content: "flex flex-col justify-between",
container: `${columnPadding()} pb-20`,
}}
>
<div classList={{ "w-full flex items-center justify-center pb-8 shrink-0": true }}>
<div class={`${columnPadding()} flex items-center justify-center pb-8 shrink-0`}>
<Logo class="w-58.5 opacity-12" />
</div>
</SessionTurn>
</div>
</div>
<Show when={diffs().length > 0}>
<div class="@container relative grow pt-14 flex-1 min-h-0 border-l border-border-weak-base">
<div class="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",
@@ -317,22 +308,12 @@ 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>
<Switch>
<Match when={diffs().length > 0}>
<Tabs classList={{ "md:hidden": wide(), "lg:hidden": !wide() }}>
<Tabs class="md:hidden">
<Tabs.List>
<Tabs.Trigger value="session" class="w-1/2" classes={{ button: "w-full" }}>
Session
@@ -363,9 +344,7 @@ export default function () {
</Tabs>
</Match>
<Match when={true}>
<div classList={{ "!overflow-hidden": true, "md:hidden": wide(), "lg:hidden": !wide() }}>
{turns()}
</div>
<div class="md:hidden !overflow-hidden">{turns()}</div>
</Match>
</Switch>
</div>
+6 -6
View File
@@ -1,7 +1,7 @@
id = "opencode"
name = "OpenCode"
description = "The AI coding agent built for the terminal"
version = "1.0.124"
version = "1.0.116"
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/v1.0.124/opencode-darwin-arm64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.116/opencode-darwin-arm64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.darwin-x86_64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.124/opencode-darwin-x64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.116/opencode-darwin-x64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.linux-aarch64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.124/opencode-linux-arm64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.116/opencode-linux-arm64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.linux-x86_64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.124/opencode-linux-x64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.116/opencode-linux-x64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.windows-x86_64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.124/opencode-windows-x64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.116/opencode-windows-x64.zip"
cmd = "./opencode.exe"
args = ["acp"]
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/function",
"version": "1.0.124",
"version": "1.0.116",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+8 -10
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.0.124",
"version": "1.0.116",
"name": "opencode",
"type": "module",
"private": true,
@@ -43,15 +43,13 @@
"@actions/github": "6.0.1",
"@agentclientprotocol/sdk": "0.5.1",
"@ai-sdk/amazon-bedrock": "3.0.57",
"@ai-sdk/anthropic": "2.0.50",
"@ai-sdk/anthropic": "2.0.45",
"@ai-sdk/azure": "2.0.73",
"@ai-sdk/google": "2.0.44",
"@ai-sdk/google-vertex": "3.0.81",
"@ai-sdk/google": "2.0.42",
"@ai-sdk/google-vertex": "3.0.74",
"@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:",
@@ -63,9 +61,9 @@
"@opencode-ai/script": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
"@opencode-ai/util": "workspace:*",
"@openrouter/ai-sdk-provider": "1.2.8",
"@opentui/core": "0.1.54",
"@opentui/solid": "0.1.54",
"@openrouter/ai-sdk-provider": "1.2.5",
"@opentui/core": "0.1.50",
"@opentui/solid": "0.1.50",
"@parcel/watcher": "2.5.1",
"@pierre/precision-diffs": "catalog:",
"@solid-primitives/event-bus": "1.1.2",
@@ -84,7 +82,7 @@
"jsonc-parser": "3.3.1",
"minimatch": "10.0.3",
"open": "10.1.2",
"opentui-spinner": "0.0.6",
"opentui-spinner": "0.0.5",
"partial-json": "0.1.7",
"remeda": "catalog:",
"solid-js": "catalog:",
+2 -36
View File
@@ -102,7 +102,8 @@ export namespace Agent {
const result: Record<string, Info> = {
general: {
name: "general",
description: `General-purpose agent for researching complex questions and executing multi-step tasks. Use this agent to execute multiple units of work in parallel.`,
description:
"General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you.",
tools: {
todoread: false,
todowrite: false,
@@ -113,41 +114,6 @@ export namespace Agent {
mode: "subagent",
builtIn: true,
},
explore: {
name: "explore",
tools: {
todoread: false,
todowrite: false,
edit: false,
write: false,
...defaultTools,
},
description: `Fast agent specialized for exploring codebases. Use this when you need to quickly find files by patterns (eg. "src/components/**/*.tsx"), search code for keywords (eg. "API endpoints"), or answer questions about the codebase (eg. "how do API endpoints work?"). When calling this agent, specify the desired thoroughness level: "quick" for basic searches, "medium" for moderate exploration, or "very thorough" for comprehensive analysis across multiple locations and naming conventions.`,
prompt: [
`You are a file search specialist. You excel at thoroughly navigating and exploring codebases.`,
``,
`Your strengths:`,
`- Rapidly finding files using glob patterns`,
`- Searching code and text with powerful regex patterns`,
`- Reading and analyzing file contents`,
``,
`Guidelines:`,
`- Use Glob for broad file pattern matching`,
`- Use Grep for searching file contents with regex`,
`- Use Read when you know the specific file path you need to read`,
`- Use Bash for file operations like copying, moving, or listing directory contents`,
`- Adapt your search approach based on the thoroughness level specified by the caller`,
`- Return file paths as absolute paths in your final response`,
`- For clear communication, avoid using emojis`,
`- Do not create any files, or run bash commands that modify the user's system state in any way`,
``,
`Complete the user's search request efficiently and report your findings clearly.`,
].join("\n"),
options: {},
permission: agentPermission,
mode: "subagent",
builtIn: true,
},
build: {
name: "build",
tools: { ...defaultTools },
-10
View File
@@ -30,7 +30,6 @@ 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
@@ -316,15 +315,6 @@ 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",
@@ -6,7 +6,6 @@ import { DialogSelect, type DialogSelectRef } from "@tui/ui/dialog-select"
import { useDialog } from "@tui/ui/dialog"
import { createDialogProviderOptions, DialogProvider } from "./dialog-provider"
import { Keybind } from "@/util/keybind"
import { iife } from "@/util/iife"
export function DialogModel() {
const local = useLocal()
@@ -22,48 +21,73 @@ export function DialogModel() {
const options = createMemo(() => {
const query = ref()?.filter
const favorites = connected() ? local.model.favorite() : []
const favorites = local.model.favorite()
const recents = local.model.recent()
const currentModel = local.model.current()
const recentList = recents
const orderedRecents = currentModel
? [
currentModel,
...recents.filter(
(item) => item.providerID !== currentModel.providerID || item.modelID !== currentModel.modelID,
),
]
: recents
const isCurrent = (item: { providerID: string; modelID: string }) =>
currentModel && item.providerID === currentModel.providerID && item.modelID === currentModel.modelID
const currentIsFavorite = currentModel && favorites.some((fav) => isCurrent(fav))
const recentList = orderedRecents
.filter((item) => !favorites.some((fav) => fav.providerID === item.providerID && fav.modelID === item.modelID))
.slice(0, 5)
const favoriteOptions = !query
? favorites.flatMap((item) => {
const provider = sync.data.provider.find((x) => x.id === item.providerID)
if (!provider) return []
const model = provider.models[item.modelID]
if (!model) return []
return [
{
key: item,
value: {
providerID: provider.id,
modelID: model.id,
const orderedFavorites = currentModel
? [...favorites.filter((item) => isCurrent(item)), ...favorites.filter((item) => !isCurrent(item))]
: favorites
const orderedRecentList =
currentModel && !currentIsFavorite
? [...recentList.filter((item) => isCurrent(item)), ...recentList.filter((item) => !isCurrent(item))]
: recentList
const favoriteOptions =
!query && favorites.length > 0
? orderedFavorites.flatMap((item) => {
const provider = sync.data.provider.find((x) => x.id === item.providerID)
if (!provider) return []
const model = provider.models[item.modelID]
if (!model) return []
return [
{
key: item,
value: {
providerID: provider.id,
modelID: model.id,
},
title: model.name ?? item.modelID,
description: `${provider.name}`,
category: "Favorites",
disabled: provider.id === "opencode" && model.id.includes("-nano"),
footer: model.cost?.input === 0 && provider.id === "opencode" ? "Free" : undefined,
onSelect: () => {
dialog.clear()
local.model.set(
{
providerID: provider.id,
modelID: model.id,
},
{ recent: true },
)
},
},
title: model.name ?? item.modelID,
description: provider.name,
category: "Favorites",
disabled: provider.id === "opencode" && model.id.includes("-nano"),
footer: model.cost?.input === 0 && provider.id === "opencode" ? "Free" : undefined,
onSelect: () => {
dialog.clear()
local.model.set(
{
providerID: provider.id,
modelID: model.id,
},
{ recent: true },
)
},
},
]
})
: []
]
})
: []
const recentOptions = !query
? recentList.flatMap((item) => {
? orderedRecentList.flatMap((item) => {
const provider = sync.data.provider.find((x) => x.id === item.providerID)
if (!provider) return []
const model = provider.models[item.modelID]
@@ -113,14 +137,13 @@ export function DialogModel() {
providerID: provider.id,
modelID: model,
}
const favorite = favorites.some(
(item) => item.providerID === value.providerID && item.modelID === value.modelID,
)
return {
value,
title: info.name ?? model,
description: favorites.some(
(item) => item.providerID === value.providerID && item.modelID === value.modelID,
)
? "(Favorite)"
: undefined,
description: connected() ? `${provider.name}${favorite ? " ★" : ""}` : undefined,
category: connected() ? provider.name : undefined,
disabled: provider.id === "opencode" && model.includes("-nano"),
footer: info.cost?.input === 0 && provider.id === "opencode" ? "Free" : undefined,
@@ -142,10 +165,10 @@ export function DialogModel() {
const inFavorites = favorites.some(
(item) => item.providerID === value.providerID && item.modelID === value.modelID,
)
if (inFavorites) return false
const inRecents = recents.some(
const inRecents = orderedRecents.some(
(item) => item.providerID === value.providerID && item.modelID === value.modelID,
)
if (inFavorites) return false
if (inRecents) return false
return true
}),
@@ -173,7 +196,7 @@ export function DialogModel() {
keybind={[
{
keybind: { ctrl: true, name: "a", meta: false, shift: false, leader: false },
title: connected() ? "Connect provider" : "View all providers",
title: connected() ? "Connect provider" : "More providers",
onTrigger() {
dialog.replace(() => <DialogProvider />)
},
@@ -181,7 +204,6 @@ export function DialogModel() {
{
keybind: Keybind.parse("ctrl+f")[0],
title: "Favorite",
disabled: !connected(),
onTrigger: (option) => {
local.model.toggleFavorite(option.value as { providerID: string; modelID: string })
},
@@ -26,15 +26,13 @@ export function createDialogProviderOptions() {
const options = createMemo(() => {
return pipe(
sync.data.provider_next.all,
sortBy((x) => PROVIDER_PRIORITY[x.id] ?? 99),
map((provider) => ({
title: provider.name,
value: provider.id,
description: {
opencode: "(Recommended)",
anthropic: "(Claude Max or API key)",
footer: {
opencode: "Recommended",
anthropic: "Claude Max or API key",
}[provider.id],
category: provider.id in PROVIDER_PRIORITY ? "Popular" : "Other",
async onSelect() {
const methods = sync.data.provider_auth[provider.id] ?? [
{
@@ -87,6 +85,7 @@ export function createDialogProviderOptions() {
}
},
})),
sortBy((x) => PROVIDER_PRIORITY[x.value] ?? 99),
)
})
return options
@@ -239,7 +239,7 @@ export function Autocomplete(props: {
},
{
display: "/thinking",
description: "toggle thinking visibility",
description: "toggle thinking blocks",
onSelect: () => command.trigger("session.toggle.thinking"),
},
)
@@ -586,16 +586,12 @@ export function Prompt(props: PromptProps) {
frames: createFrames({
color,
style: "blocks",
inactiveFactor: 0.6,
// enableFading: false,
minAlpha: 0.3,
inactiveFactor: 0.25,
}),
color: createColors({
color,
style: "blocks",
inactiveFactor: 0.6,
// enableFading: false,
minAlpha: 0.3,
inactiveFactor: 0.25,
}),
}
})
@@ -813,8 +809,7 @@ export function Prompt(props: PromptProps) {
borderColor={highlight()}
customBorderChars={{
...EmptyBorder,
// when the background is transparent, don't draw the vertical line
vertical: theme.background.a != 0 ? "╹" : " ",
vertical: "╹",
}}
>
<box
@@ -843,8 +838,7 @@ 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} />
<spinner color={spinnerDef().color} frames={spinnerDef().frames} interval={40} />
<box flexDirection="row" gap={1} flexShrink={0}>
{(() => {
const retry = createMemo(() => {
@@ -856,7 +850,7 @@ export function Prompt(props: PromptProps) {
const r = retry()
if (!r) return
if (r.message.includes("exceeded your current quota") && r.message.includes("gemini"))
return "gemini is way too hot right now"
return "gemini 3 way too hot right now"
if (r.message.length > 50) return r.message.slice(0, 50) + "..."
return r.message
})
@@ -11,7 +11,7 @@ export function Footer() {
const lsp = createMemo(() => Object.keys(sync.data.lsp))
const directory = useDirectory()
return (
<box flexDirection="row" justifyContent="space-between" gap={1} flexShrink={0}>
<box flexDirection="row" justifyContent="space-between" gap={1}>
<text fg={theme.textMuted}>{directory()}</text>
<box gap={2} flexDirection="row" flexShrink={0}>
<text fg={theme.text}>
@@ -81,7 +81,6 @@ const context = createContext<{
conceal: () => boolean
showThinking: () => boolean
showTimestamps: () => boolean
diffWrapMode: () => "word" | "none"
sync: ReturnType<typeof useSync>
}>()
@@ -112,9 +111,8 @@ export function Session() {
const dimensions = useTerminalDimensions()
const [sidebar, setSidebar] = createSignal<"show" | "hide" | "auto">(kv.get("sidebar", "auto"))
const [conceal, setConceal] = createSignal(true)
const [showThinking, setShowThinking] = createSignal(kv.get("thinking_visibility", true))
const [showThinking, setShowThinking] = createSignal(true)
const [showTimestamps, setShowTimestamps] = createSignal(kv.get("timestamps", "hide") === "show")
const [diffWrapMode, setDiffWrapMode] = createSignal<"word" | "none">("word")
const wide = createMemo(() => dimensions().width > 120)
const sidebarVisible = createMemo(() => {
@@ -432,24 +430,11 @@ export function Session() {
},
},
{
title: showThinking() ? "Hide thinking" : "Show thinking",
title: "Toggle thinking blocks",
value: "session.toggle.thinking",
category: "Session",
onSelect: (dialog) => {
setShowThinking((prev) => {
const next = !prev
kv.set("thinking_visibility", next)
return next
})
dialog.clear()
},
},
{
title: "Toggle diff wrapping",
value: "session.toggle.diffwrap",
category: "Session",
onSelect: (dialog) => {
setDiffWrapMode((prev) => (prev === "word" ? "none" : "word"))
setShowThinking((prev) => !prev)
dialog.clear()
},
},
@@ -754,7 +739,6 @@ export function Session() {
conceal,
showThinking,
showTimestamps,
diffWrapMode,
sync,
}}
>
@@ -1201,15 +1185,15 @@ function ToolPart(props: { last: boolean; part: ToolPart; message: AssistantMess
<box gap={1}>
<text fg={theme.text}>Permission required to run this tool:</text>
<box flexDirection="row" gap={2}>
<text fg={theme.text}>
<text>
<b>enter</b>
<span style={{ fg: theme.textMuted }}> accept</span>
</text>
<text fg={theme.text}>
<text>
<b>a</b>
<span style={{ fg: theme.textMuted }}> accept always</span>
</text>
<text fg={theme.text}>
<text>
<b>d</b>
<span style={{ fg: theme.textMuted }}> deny</span>
</text>
@@ -1314,9 +1298,21 @@ ToolRegistry.register<typeof WriteTool>({
container: "block",
render(props) {
const { theme, syntax } = useTheme()
const lines = createMemo(
() => (typeof props.input.content === "string" ? props.input.content.split("\n") : []),
[] as string[],
)
const code = createMemo(() => {
if (!props.input.content) return ""
return props.input.content
const text = props.input.content
return text
})
const numbers = createMemo(() => {
const pad = lines().length.toString().length
return lines()
.map((_, index) => index + 1)
.map((x) => x.toString().padStart(pad, " "))
})
const diagnostics = createMemo(() => props.metadata.diagnostics?.[props.input.filePath ?? ""] ?? [])
@@ -1326,9 +1322,14 @@ ToolRegistry.register<typeof WriteTool>({
<ToolTitle icon="←" fallback="Preparing write..." when={props.input.filePath}>
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()} />
</line_number>
<box flexDirection="row">
<box flexShrink={0}>
<For each={numbers()}>{(value) => <text style={{ fg: theme.textMuted }}>{value}</text>}</For>
</box>
<box paddingLeft={1} flexGrow={1}>
<code fg={theme.text} filetype={filetype(props.input.filePath!)} syntaxStyle={syntax()} content={code()} />
</box>
</box>
<Show when={diagnostics().length}>
<For each={diagnostics()}>
{(diagnostic) => (
@@ -1400,15 +1401,15 @@ ToolRegistry.register<typeof TaskTool>({
return (
<>
<ToolTitle icon="" fallback="Delegating..." when={props.input.subagent_type ?? props.input.description}>
{Locale.titlecase(props.input.subagent_type ?? "unknown")} Task "{props.input.description}"
<ToolTitle icon="%" fallback="Delegating..." when={props.input.subagent_type ?? props.input.description}>
Task [{props.input.subagent_type ?? "unknown"}] {props.input.description}
</ToolTitle>
<Show when={props.metadata.summary?.length}>
<box>
<For each={props.metadata.summary ?? []}>
{(task) => (
<text style={{ fg: theme.textMuted }}>
{Locale.titlecase(task.tool)} {task.state.status === "completed" ? task.state.title : ""}
{task.tool} {task.state.status === "completed" ? task.state.title : ""}
</text>
)}
</For>
@@ -1470,17 +1471,84 @@ ToolRegistry.register<typeof EditTool>({
const ctx = use()
const { theme, syntax } = useTheme()
const view = createMemo(() => {
const style = createMemo(() => {
const diffStyle = ctx.sync.data.config.tui?.diff_style
if (diffStyle === "stacked") return "unified"
if (diffStyle === "stacked") return "stacked"
// Default to "auto" behavior
return ctx.width > 120 ? "split" : "unified"
return ctx.width > 120 ? "split" : "stacked"
})
const diff = createMemo(() => {
const diff = props.metadata.diff ?? props.permission["diff"]
if (!diff) return null
try {
const patches = parsePatch(diff)
if (patches.length === 0) return null
const patch = patches[0]
const oldLines: string[] = []
const newLines: string[] = []
for (const hunk of patch.hunks) {
let i = 0
while (i < hunk.lines.length) {
const line = hunk.lines[i]
if (line.startsWith("-")) {
const removedLines: string[] = []
while (i < hunk.lines.length && hunk.lines[i].startsWith("-")) {
removedLines.push("- " + hunk.lines[i].slice(1))
i++
}
const addedLines: string[] = []
while (i < hunk.lines.length && hunk.lines[i].startsWith("+")) {
addedLines.push("+ " + hunk.lines[i].slice(1))
i++
}
const maxLen = Math.max(removedLines.length, addedLines.length)
for (let j = 0; j < maxLen; j++) {
oldLines.push(removedLines[j] ?? "")
newLines.push(addedLines[j] ?? "")
}
} else if (line.startsWith("+")) {
const addedLines: string[] = []
while (i < hunk.lines.length && hunk.lines[i].startsWith("+")) {
addedLines.push("+ " + hunk.lines[i].slice(1))
i++
}
for (const added of addedLines) {
oldLines.push("")
newLines.push(added)
}
} else {
oldLines.push(" " + line.slice(1))
newLines.push(" " + line.slice(1))
i++
}
}
}
return {
oldContent: oldLines.join("\n"),
newContent: newLines.join("\n"),
}
} catch (error) {
return null
}
})
const code = createMemo(() => {
if (!props.metadata.diff) return ""
const text = props.metadata.diff.split("\n").slice(5).join("\n")
return text.trim()
})
const ft = createMemo(() => filetype(props.input.filePath))
const diffContent = createMemo(() => props.metadata.diff ?? props.permission["diff"])
const diagnostics = createMemo(() => {
const arr = props.metadata.diagnostics?.[props.input.filePath ?? ""] ?? []
return arr.filter((x) => x.severity === 1).slice(0, 3)
@@ -1494,28 +1562,26 @@ ToolRegistry.register<typeof EditTool>({
replaceAll: props.input.replaceAll,
})}
</ToolTitle>
<Show when={diffContent()}>
<box paddingLeft={1}>
<diff
diff={diffContent()}
view={view()}
filetype={ft()}
syntaxStyle={syntax()}
showLineNumbers={true}
width="100%"
wrapMode={ctx.diffWrapMode()}
addedBg={theme.diffAddedBg}
removedBg={theme.diffRemovedBg}
contextBg={theme.diffContextBg}
addedSignColor={theme.diffHighlightAdded}
removedSignColor={theme.diffHighlightRemoved}
lineNumberFg={theme.diffLineNumber}
lineNumberBg={theme.diffContextBg}
addedLineNumberBg={theme.diffAddedLineNumberBg}
removedLineNumberBg={theme.diffRemovedLineNumberBg}
/>
</box>
</Show>
<Switch>
<Match when={props.permission["diff"]}>
<text fg={theme.text}>{props.permission["diff"]?.trim()}</text>
</Match>
<Match when={diff() && style() === "split"}>
<box paddingLeft={1} flexDirection="row" gap={2}>
<box flexGrow={1} flexBasis={0}>
<code fg={theme.text} filetype={ft()} syntaxStyle={syntax()} content={diff()!.oldContent} />
</box>
<box flexGrow={1} flexBasis={0}>
<code fg={theme.text} filetype={ft()} syntaxStyle={syntax()} content={diff()!.newContent} />
</box>
</box>
</Match>
<Match when={code()}>
<box paddingLeft={1}>
<code fg={theme.text} filetype={ft()} syntaxStyle={syntax()} content={code()} />
</box>
</Match>
</Switch>
<Show when={diagnostics().length}>
<box>
<For each={diagnostics()}>
@@ -55,6 +55,9 @@ export function DialogPrompt(props: DialogPromptProps) {
<text fg={theme.text}>
enter <span style={{ fg: theme.textMuted }}>submit</span>
</text>
<text fg={theme.text}>
esc <span style={{ fg: theme.textMuted }}>cancel</span>
</text>
</box>
</box>
)
@@ -13,7 +13,6 @@ import { Locale } from "@/util/locale"
export interface DialogSelectProps<T> {
title: string
placeholder?: string
options: DialogSelectOption<T>[]
ref?: (ref: DialogSelectRef<T>) => void
onMove?: (option: DialogSelectOption<T>) => void
@@ -22,7 +21,6 @@ export interface DialogSelectProps<T> {
keybind?: {
keybind: Keybind.Info
title: string
disabled?: boolean
onTrigger: (option: DialogSelectOption<T>) => void
}[]
current?: T
@@ -152,7 +150,6 @@ export function DialogSelect<T>(props: DialogSelectProps<T>) {
}
for (const item of props.keybind ?? []) {
if (item.disabled) continue
if (Keybind.match(item.keybind, keybind.parse(evt))) {
const s = selected()
if (s) {
@@ -174,10 +171,8 @@ export function DialogSelect<T>(props: DialogSelectProps<T>) {
}
props.ref?.(ref)
const keybinds = createMemo(() => props.keybind?.filter((x) => !x.disabled) ?? [])
return (
<box gap={1} paddingBottom={1}>
<box gap={1}>
<box paddingLeft={4} paddingRight={4}>
<box flexDirection="row" justifyContent="space-between">
<text fg={theme.text} attributes={TextAttributes.BOLD}>
@@ -200,7 +195,7 @@ export function DialogSelect<T>(props: DialogSelectProps<T>) {
input = r
setTimeout(() => input.focus(), 1)
}}
placeholder={props.placeholder ?? "Search"}
placeholder="Enter search term"
/>
</box>
</box>
@@ -258,20 +253,18 @@ export function DialogSelect<T>(props: DialogSelectProps<T>) {
)}
</For>
</scrollbox>
<Show when={keybinds().length} fallback={<box flexShrink={0} />}>
<box paddingRight={2} paddingLeft={4} flexDirection="row" gap={2} flexShrink={0} paddingTop={1}>
<For each={keybinds()}>
{(item) => (
<text>
<span style={{ fg: theme.text }}>
<b>{item.title}</b>{" "}
</span>
<span style={{ fg: theme.textMuted }}>{Keybind.toString(item.keybind)}</span>
</text>
)}
</For>
</box>
</Show>
<box paddingRight={2} paddingLeft={4} flexDirection="row" paddingBottom={1} gap={2}>
<For each={props.keybind ?? []}>
{(item) => (
<text>
<span style={{ fg: theme.text }}>
<b>{item.title}</b>{" "}
</span>
<span style={{ fg: theme.textMuted }}>{Keybind.toString(item.keybind)}</span>
</text>
)}
</For>
</box>
</box>
)
}
+39 -52
View File
@@ -8,8 +8,6 @@ interface AdvancedGradientOptions {
defaultColor?: ColorInput
direction?: "forward" | "backward" | "bidirectional"
holdFrames?: { start?: number; end?: number }
enableFading?: boolean
minAlpha?: number
}
interface ScannerState {
@@ -139,16 +137,13 @@ function calculateColorIndex(
}
function createKnightRiderTrail(options: AdvancedGradientOptions): ColorGenerator {
const { colors, defaultColor, enableFading = true, minAlpha = 0 } = options
const { colors, defaultColor } = options
// Use the provided defaultColor if it's an RGBA instance, otherwise convert/default
// We use RGBA.fromHex for the fallback to ensure we have an RGBA object.
// Note: If defaultColor is a string, we convert it once here.
const defaultRgba = defaultColor instanceof RGBA ? defaultColor : RGBA.fromHex((defaultColor as string) || "#000000")
// Store the base alpha from the inactive factor
const baseInactiveAlpha = defaultRgba.a
let cachedFrameIndex = -1
let cachedState: ScannerState | null = null
@@ -165,22 +160,22 @@ function createKnightRiderTrail(options: AdvancedGradientOptions): ColorGenerato
// Calculate global fade for inactive dots during hold or movement
const { isHolding, holdProgress, holdTotal, movementProgress, movementTotal } = state
let fadeFactor = 1.0
if (enableFading) {
if (isHolding && holdTotal > 0) {
// Fade out linearly to minAlpha
const progress = Math.min(holdProgress / holdTotal, 1)
fadeFactor = Math.max(minAlpha, 1 - progress * (1 - minAlpha))
} else if (!isHolding && movementTotal > 0) {
// Fade in linearly from minAlpha during movement
const progress = Math.min(movementProgress / Math.max(1, movementTotal - 1), 1)
fadeFactor = minAlpha + progress * (1 - minAlpha)
}
let alpha = 1.0
if (isHolding && holdTotal > 0) {
// Fade out linearly
const progress = Math.min(holdProgress / holdTotal, 1)
alpha = Math.max(0, 1 - progress)
} else if (!isHolding && movementTotal > 0) {
// Fade in linearly during movement
const progress = Math.min(movementProgress / Math.max(1, movementTotal - 1), 1)
alpha = progress
}
// Combine base inactive alpha with the fade factor
// This ensures inactiveFactor is respected while still allowing fading animation
defaultRgba.a = baseInactiveAlpha * fadeFactor
// Mutate the alpha of the default RGBA object
// This assumes single-threaded, synchronous rendering per frame
// where we can modify the state for the current frame.
// Since this is run for every char in the frame, setting it repeatedly to the same value is fine.
defaultRgba.a = alpha
if (index === -1) {
return defaultRgba
@@ -191,10 +186,10 @@ function createKnightRiderTrail(options: AdvancedGradientOptions): ColorGenerato
}
/**
* Derives a gradient of tail colors from a single bright color using alpha falloff
* Derives a gradient of tail colors from a single bright color
* @param brightColor The brightest color (center/head of the scanner)
* @param steps Number of gradient steps (default: 6)
* @returns Array of RGBA colors with alpha-based trail fade (background-independent)
* @returns Array of RGBA colors from brightest to darkest
*/
export function deriveTrailColors(brightColor: ColorInput, steps: number = 6): RGBA[] {
const baseRgba = brightColor instanceof RGBA ? brightColor : RGBA.fromHex(brightColor as string)
@@ -202,45 +197,45 @@ export function deriveTrailColors(brightColor: ColorInput, steps: number = 6): R
const colors: RGBA[] = []
for (let i = 0; i < steps; i++) {
// Alpha-based falloff with optional bloom effect
let alpha: number
let brightnessFactor: number
// Progressive darkening:
// i=0: 100% brightness (original color)
// i=1: add slight bloom/glare (lighten)
// i=2+: progressively darken
let factor: number
if (i === 0) {
// Lead position: full brightness and opacity
alpha = 1.0
brightnessFactor = 1.0
factor = 1.0 // Original brightness
} else if (i === 1) {
// Slight bloom/glare effect: brighten color but reduce opacity slightly
alpha = 0.9
brightnessFactor = 1.15
factor = 1.2 // Slight bloom/glare effect
} else {
// Exponential alpha decay for natural-looking trail fade
alpha = Math.pow(0.65, i - 1)
brightnessFactor = 1.0
// Exponential decay for natural-looking trail fade
factor = Math.pow(0.6, i - 1)
}
const r = Math.min(1.0, baseRgba.r * brightnessFactor)
const g = Math.min(1.0, baseRgba.g * brightnessFactor)
const b = Math.min(1.0, baseRgba.b * brightnessFactor)
const r = Math.min(1.0, baseRgba.r * factor)
const g = Math.min(1.0, baseRgba.g * factor)
const b = Math.min(1.0, baseRgba.b * factor)
colors.push(RGBA.fromValues(r, g, b, alpha))
colors.push(RGBA.fromValues(r, g, b, 1.0))
}
return colors
}
/**
* Derives the inactive/default color from a bright color using alpha
* Derives the inactive/default color from a bright color
* @param brightColor The brightest color (center/head of the scanner)
* @param factor Alpha factor for inactive color (default: 0.2, range: 0-1)
* @returns The same color with reduced alpha for background-independent dimming
* @param factor Brightness factor for inactive color (default: 0.2)
* @returns A much darker version suitable for inactive dots
*/
export function deriveInactiveColor(brightColor: ColorInput, factor: number = 0.2): RGBA {
const baseRgba = brightColor instanceof RGBA ? brightColor : RGBA.fromHex(brightColor as string)
// Use the full color brightness but adjust alpha for background-independent dimming
return RGBA.fromValues(baseRgba.r, baseRgba.g, baseRgba.b, factor)
const r = baseRgba.r * factor
const g = baseRgba.g * factor
const b = baseRgba.b * factor
return RGBA.fromValues(r, g, b, 1.0)
}
export type KnightRiderStyle = "blocks" | "diamonds"
@@ -256,12 +251,8 @@ export interface KnightRiderOptions {
/** Number of trail steps when using single color (default: 6) */
trailSteps?: number
defaultColor?: ColorInput
/** Alpha factor for inactive color when using single color (default: 0.2, range: 0-1) */
/** Brightness factor for inactive color when using single color (default: 0.2) */
inactiveFactor?: number
/** Enable fading of inactive dots during hold and movement (default: true) */
enableFading?: boolean
/** Minimum alpha value when fading (default: 0, range: 0-1) */
minAlpha?: number
}
/**
@@ -298,8 +289,6 @@ export function createFrames(options: KnightRiderOptions = {}): string[] {
defaultColor,
direction: "bidirectional" as const,
holdFrames: { start: holdStart, end: holdEnd },
enableFading: options.enableFading,
minAlpha: options.minAlpha,
}
// Bidirectional cycle: Forward (width) + Hold End + Backward (width-1) + Hold Start
@@ -360,8 +349,6 @@ export function createColors(options: KnightRiderOptions = {}): ColorGenerator {
defaultColor,
direction: "bidirectional" as const,
holdFrames: { start: holdStart, end: holdEnd },
enableFading: options.enableFading,
minAlpha: options.minAlpha,
}
return createKnightRiderTrail(trailOptions)
-1
View File
@@ -527,7 +527,6 @@ export namespace Config {
plan: Agent.optional(),
build: Agent.optional(),
general: Agent.optional(),
explore: Agent.optional(),
})
.catchall(Agent)
.optional()
+2
View File
@@ -47,6 +47,7 @@ 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" })
@@ -82,6 +83,7 @@ export namespace FileWatcher {
)
export function init() {
// if (!Flag.OPENCODE_EXPERIMENTAL_WATCHER) return
state()
}
}
@@ -246,12 +246,3 @@ export const htmlbeautifier: Info = {
return Bun.which("htmlbeautifier") !== null
},
}
export const dart: Info = {
name: "dart",
command: ["dart", "format", "$FILE"],
extensions: [".dart"],
async enabled() {
return Bun.which("dart") !== null
},
}
+1 -1
View File
@@ -30,7 +30,7 @@ await Promise.all([
fs.mkdir(Global.Path.bin, { recursive: true }),
])
const CACHE_VERSION = "12"
const CACHE_VERSION = "11"
const version = await Bun.file(path.join(Global.Path.cache, "version"))
.text()
+1 -27
View File
@@ -88,10 +88,7 @@ export namespace LSPServer {
),
extensions: [".ts", ".tsx", ".js", ".jsx", ".mjs", ".cjs", ".mts", ".cts"],
async spawn(root) {
const tsserver = await Bun.resolve("typescript/lib/tsserver.js", Instance.directory).catch(() => {})
log.info("typescript server", { tsserver })
if (!tsserver) return
const proc = spawn(BunProc.which(), ["x", "typescript-language-server", "--stdio"], {
const proc = spawn(BunProc.which(), ["x", "@vtsls/language-server", "--stdio"], {
cwd: root,
env: {
...process.env,
@@ -100,11 +97,6 @@ export namespace LSPServer {
})
return {
process: proc,
initialization: {
tsserver: {
path: tsserver,
},
},
}
},
}
@@ -1166,22 +1158,4 @@ export namespace LSPServer {
}
},
}
export const Dart: Info = {
id: "dart",
extensions: [".dart"],
root: NearestRoot(["pubspec.yaml", "analysis_options.yaml"]),
async spawn(root) {
const dart = Bun.which("dart")
if (!dart) {
log.info("dart not found, please install dart first")
return
}
return {
process: spawn(dart, ["language-server", "--lsp"], {
cwd: root,
}),
}
},
}
}
+1 -1
View File
@@ -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@0.0.3")
plugins.push("opencode-anthropic-auth@0.0.2")
}
for (let plugin of plugins) {
log.info("loading plugin", { path: plugin })
+4 -4
View File
@@ -75,18 +75,18 @@ export namespace Project {
await Storage.write<Info>(["project", "global"], project)
return project
}
worktree = await $`git rev-parse --show-toplevel`
worktree = await $`git rev-parse --path-format=absolute --show-toplevel`
.quiet()
.nothrow()
.cwd(worktree)
.text()
.then((x) => path.resolve(worktree, x.trim()))
const vcsDir = await $`git rev-parse --git-dir`
.then((x) => x.trim())
const vcsDir = await $`git rev-parse --path-format=absolute --git-dir`
.quiet()
.nothrow()
.cwd(worktree)
.text()
.then((x) => path.resolve(worktree, x.trim()))
.then((x) => x.trim())
const project: Info = {
id,
worktree,
+9 -54
View File
@@ -23,7 +23,6 @@ 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" })
@@ -38,8 +37,6 @@ 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<{
@@ -90,30 +87,6 @@ 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,
@@ -455,6 +428,15 @@ 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
@@ -496,14 +478,6 @@ 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")
@@ -515,10 +489,6 @@ 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)
@@ -707,21 +677,6 @@ export namespace Provider {
}
}
export async function closest(providerID: string, query: string[]) {
const s = await state()
const provider = s.providers[providerID]
if (!provider) return undefined
for (const item of query) {
for (const modelID of Object.keys(provider.info.models)) {
if (modelID.includes(item))
return {
providerID,
modelID,
}
}
}
}
export async function getSmallModel(providerID: string) {
const cfg = await Config.get()
@@ -1,5 +0,0 @@
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.
@@ -1,2 +0,0 @@
export { createOpenaiCompatible, openaiCompatible } from "./openai-compatible-provider"
export type { OpenaiCompatibleProvider, OpenaiCompatibleProviderSettings } from "./openai-compatible-provider"
@@ -1,100 +0,0 @@
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()
@@ -1,303 +0,0 @@
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>
@@ -1,22 +0,0 @@
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"
}
}
@@ -1,18 +0,0 @@
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[]
}
@@ -1,22 +0,0 @@
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,
})
@@ -1,207 +0,0 @@
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
}>
}
@@ -1,177 +0,0 @@
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}`,
})
}
}
}
@@ -1 +0,0 @@
export type OpenAIResponsesModelId = string
@@ -1,88 +0,0 @@
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)
}
@@ -1,128 +0,0 @@
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,
})
@@ -1,115 +0,0 @@
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)
}
@@ -1,65 +0,0 @@
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,
})
@@ -1,104 +0,0 @@
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(),
}),
})
@@ -1,103 +0,0 @@
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)
}
+4 -22
View File
@@ -1,5 +1,4 @@
import type { APICallError, ModelMessage } from "ai"
import { STATUS_CODES } from "http"
import type { ModelMessage } from "ai"
import { unique } from "remeda"
import type { JSONSchema } from "zod/v4/core"
@@ -309,28 +308,11 @@ export namespace ProviderTransform {
return schema
}
export function error(providerID: string, error: APICallError) {
let message = error.message
export function error(providerID: string, message: string) {
if (providerID === "github-copilot" && message.includes("The requested model is not supported")) {
return (
message +
message +=
"\n\nMake sure the model is enabled in your copilot settings: https://github.com/settings/copilot/features"
)
}
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}`
return message
}
}
+1 -1
View File
@@ -178,7 +178,7 @@ export namespace SessionCompaction {
content: [
{
type: "text",
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.",
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.",
},
],
},
+2 -2
View File
@@ -666,7 +666,7 @@ export namespace MessageV2 {
}
}
return convertToModelMessages(result.filter((msg) => msg.parts.length > 0))
return convertToModelMessages(result)
}
export const stream = fn(Identifier.schema("session"), async function* (sessionID) {
@@ -739,7 +739,7 @@ export namespace MessageV2 {
{ cause: e },
).toObject()
case APICallError.isInstance(e):
const message = ProviderTransform.error(ctx.providerID, e)
const message = ProviderTransform.error(ctx.providerID, e.message)
return new MessageV2.APIError(
{
message,
+1 -1
View File
@@ -333,7 +333,7 @@ export namespace SessionProcessor {
error: e,
})
const error = MessageV2.fromError(e, { providerID: input.providerID })
if (error?.name === "APIError" && error.data.isRetryable) {
if ((error?.name === "APIError" && error.data.isRetryable) || error.data.message.includes("Overloaded")) {
attempt++
const delay = SessionRetry.delay(attempt, error.name === "APIError" ? error : undefined)
SessionStatus.set(input.sessionID, {
-1
View File
@@ -1110,7 +1110,6 @@ 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,
})
@@ -6,7 +6,5 @@ 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.
@@ -1,67 +0,0 @@
<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>
@@ -1,26 +1,8 @@
<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>
+3 -3
View File
@@ -48,7 +48,7 @@ export namespace Snapshot {
const git = gitdir()
await $`git --git-dir ${git} --work-tree ${Instance.worktree} add .`.quiet().cwd(Instance.directory).nothrow()
const result =
await $`git -c core.autocrlf=false --git-dir ${git} --work-tree ${Instance.worktree} diff --no-ext-diff --name-only ${hash} -- .`
await $`git -c core.autocrlf=false --git-dir ${git} --work-tree ${Instance.worktree} diff --name-only ${hash} -- .`
.quiet()
.cwd(Instance.directory)
.nothrow()
@@ -126,7 +126,7 @@ export namespace Snapshot {
const git = gitdir()
await $`git --git-dir ${git} --work-tree ${Instance.worktree} add .`.quiet().cwd(Instance.directory).nothrow()
const result =
await $`git -c core.autocrlf=false --git-dir ${git} --work-tree ${Instance.worktree} diff --no-ext-diff ${hash} -- .`
await $`git -c core.autocrlf=false --git-dir ${git} --work-tree ${Instance.worktree} diff ${hash} -- .`
.quiet()
.cwd(Instance.worktree)
.nothrow()
@@ -159,7 +159,7 @@ export namespace Snapshot {
export async function diffFull(from: string, to: string): Promise<FileDiff[]> {
const git = gitdir()
const result: FileDiff[] = []
for await (const line of $`git -c core.autocrlf=false --git-dir ${git} --work-tree ${Instance.worktree} diff --no-ext-diff --no-renames --numstat ${from} ${to} -- .`
for await (const line of $`git -c core.autocrlf=false --git-dir ${git} --work-tree ${Instance.worktree} diff --no-renames --numstat ${from} ${to} -- .`
.quiet()
.cwd(Instance.directory)
.nothrow()
-2
View File
@@ -140,8 +140,6 @@ export namespace ToolRegistry {
}
if (agent.permission.webfetch === "deny") {
result["webfetch"] = false
result["codesearch"] = false
result["websearch"] = false
}
return result
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/plugin",
"version": "1.0.124",
"version": "1.0.116",
"type": "module",
"scripts": {
"typecheck": "tsgo --noEmit",
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/sdk",
"version": "1.0.124",
"version": "1.0.116",
"type": "module",
"scripts": {
"typecheck": "tsgo --noEmit",
-1
View File
@@ -1073,7 +1073,6 @@ export type Config = {
plan?: AgentConfig
build?: AgentConfig
general?: AgentConfig
explore?: AgentConfig
[key: string]: AgentConfig | undefined
}
/**
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/slack",
"version": "1.0.124",
"version": "1.0.116",
"type": "module",
"scripts": {
"dev": "bun run src/index.ts",
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/tauri",
"private": true,
"version": "1.0.124",
"version": "1.0.116",
"type": "module",
"scripts": {
"dev": "vite",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/ui",
"version": "1.0.124",
"version": "1.0.116",
"type": "module",
"exports": {
"./*": "./src/components/*.tsx",
+1 -1
View File
@@ -46,7 +46,7 @@ export function Diff<T>(props: DiffProps<T>) {
})
onMount(() => {
if (isServer || !props.preloadedDiff) return
if (isServer) return
fileDiffInstance = new FileDiff<T>({
...createDefaultOptions(props.diffStyle),
...others,
+26 -13
View File
@@ -17,8 +17,7 @@ import { Diff } from "./diff"
import { DiffChanges } from "./diff-changes"
import { Markdown } from "./markdown"
import { getDirectory, getFilename } from "@opencode-ai/util/path"
import { sanitizePart } from "@opencode-ai/util/sanitize"
import { unwrap } from "solid-js/store"
import { sanitize, sanitizePart } from "@opencode-ai/util/sanitize"
export interface MessageProps {
message: MessageType
@@ -84,10 +83,15 @@ export function UserMessageDisplay(props: { message: UserMessage; parts: PartTyp
export function Part(props: MessagePartProps) {
const component = createMemo(() => PART_MAPPING[props.part.type])
const part = createMemo(() => sanitizePart(unwrap(props.part), props.sanitize))
return (
<Show when={component()}>
<Dynamic component={component()} part={part()} message={props.message} hideDetails={props.hideDetails} />
<Dynamic
component={component()}
part={props.part}
message={props.message}
hideDetails={props.hideDetails}
sanitize={props.sanitize}
/>
</Show>
)
}
@@ -98,6 +102,7 @@ export interface ToolProps {
tool: string
output?: string
hideDetails?: boolean
sanitize?: RegExp
}
export type ToolComponent = Component<ToolProps>
@@ -165,6 +170,7 @@ PART_MAPPING["tool"] = function ToolPartDisplay(props) {
metadata={metadata}
output={part.state.status === "completed" ? part.state.output : undefined}
hideDetails={props.hideDetails}
sanitize={props.sanitize}
/>
</Match>
</Switch>
@@ -176,7 +182,7 @@ PART_MAPPING["tool"] = function ToolPartDisplay(props) {
PART_MAPPING["text"] = function TextPartDisplay(props) {
const part = props.part as TextPart
const sanitized = createMemo(() => (props.sanitize ? (sanitizePart(unwrap(part), props.sanitize) as TextPart) : part))
const sanitized = createMemo(() => (props.sanitize ? (sanitizePart(part, props.sanitize) as TextPart) : part))
return (
<Show when={part.text.trim()}>
<div data-component="text-part">
@@ -205,7 +211,7 @@ ToolRegistry.register({
icon="glasses"
trigger={{
title: "Read",
subtitle: props.input.filePath ? getFilename(props.input.filePath) : "",
subtitle: props.input.filePath ? getFilename(sanitize(props.input.filePath, props.sanitize)) : "",
}}
/>
)
@@ -216,9 +222,12 @@ ToolRegistry.register({
name: "list",
render(props) {
return (
<BasicTool icon="bullet-list" trigger={{ title: "List", subtitle: getDirectory(props.input.path || "/") }}>
<BasicTool
icon="bullet-list"
trigger={{ title: "List", subtitle: getDirectory(sanitize(props.input.path, props.sanitize) || "/") }}
>
<Show when={false && props.output}>
<div data-component="tool-output">{props.output}</div>
<div data-component="tool-output">{sanitize(props.output, props.sanitize)}</div>
</Show>
</BasicTool>
)
@@ -326,7 +335,7 @@ ToolRegistry.register({
>
<div data-component="tool-output">
<Markdown
text={`\`\`\`command\n$ ${props.input.command}${props.output ? "\n\n" + props.output : ""}\n\`\`\``}
text={`\`\`\`command\n$ ${sanitize(props.input.command, props.sanitize)}${props.output ? "\n\n" + props.output : ""}\n\`\`\``}
/>
</div>
</BasicTool>
@@ -346,9 +355,13 @@ ToolRegistry.register({
<div data-slot="message-part-title">Edit</div>
<div data-slot="message-part-path">
<Show when={props.input.filePath?.includes("/")}>
<span data-slot="message-part-directory">{getDirectory(props.input.filePath!)}</span>
<span data-slot="message-part-directory">
{getDirectory(sanitize(props.input.filePath!, props.sanitize))}
</span>
</Show>
<span data-slot="message-part-filename">{getFilename(props.input.filePath ?? "")}</span>
<span data-slot="message-part-filename">
{getFilename(sanitize(props.input.filePath ?? "", props.sanitize))}
</span>
</div>
</div>
<div data-slot="message-part-actions">
@@ -363,11 +376,11 @@ ToolRegistry.register({
<div data-component="edit-content">
<Diff
before={{
name: getFilename(props.metadata.filediff.path),
name: getFilename(sanitize(props.metadata.filediff.path, props.sanitize)),
contents: props.metadata.filediff.before,
}}
after={{
name: getFilename(props.metadata.filediff.path),
name: getFilename(sanitize(props.metadata.filediff.path, props.sanitize)),
contents: props.metadata.filediff.after,
}}
/>
+1 -1
View File
@@ -6,7 +6,7 @@ export function createDefaultOptions<T>(style: FileDiffOptions<T>["diffStyle"])
themeType: "system",
disableLineNumbers: false,
overflow: "wrap",
diffStyle: style ?? "unified",
diffStyle: style,
diffIndicators: "bars",
disableBackground: false,
expansionLineCount: 20,
@@ -1,42 +0,0 @@
[data-component="session-message-rail"] {
display: contents;
}
[data-slot="session-message-rail-compact"],
[data-slot="session-message-rail-full"] {
position: absolute;
left: 1.5rem;
margin-top: 0.625rem;
}
[data-slot="session-message-rail-compact"] {
display: flex;
}
[data-slot="session-message-rail-full"] {
display: none;
}
@media (min-width: 72rem) {
[data-slot="session-message-rail-compact"] {
display: none;
}
[data-slot="session-message-rail-full"] {
display: flex;
}
}
[data-component="session-message-rail"] [data-slot="session-message-rail-full"] {
transform: none;
}
[data-component="session-message-rail"][data-wide] [data-slot="session-message-rail-full"] {
margin-top: 0.125rem;
left: calc(((100% - min(100%, 36.5rem)) / 2) - 1.5rem);
transform: translateX(-100%);
}
[data-component="session-message-rail"]:not([data-wide]) [data-slot="session-message-rail-full"] {
margin-top: 0.625rem;
}
@@ -1,57 +0,0 @@
import { UserMessage } from "@opencode-ai/sdk"
import { ComponentProps, Show, splitProps } from "solid-js"
import { MessageNav } from "./message-nav"
import "./session-message-rail.css"
export interface SessionMessageRailProps extends ComponentProps<"div"> {
messages: UserMessage[]
current?: UserMessage
working?: boolean
wide?: boolean
onMessageSelect: (message: UserMessage) => void
}
export function SessionMessageRail(props: SessionMessageRailProps) {
const [local, others] = splitProps(props, [
"messages",
"current",
"working",
"wide",
"onMessageSelect",
"class",
"classList",
])
return (
<Show when={(local.messages?.length ?? 0) > 1}>
<div
{...others}
data-component="session-message-rail"
data-wide={local.wide ? "" : undefined}
classList={{
...(local.classList ?? {}),
[local.class ?? ""]: !!local.class,
}}
>
<div data-slot="session-message-rail-compact">
<MessageNav
messages={local.messages}
current={local.current}
onMessageSelect={local.onMessageSelect}
size="compact"
working={local.working}
/>
</div>
<div data-slot="session-message-rail-full">
<MessageNav
messages={local.messages}
current={local.current}
onMessageSelect={local.onMessageSelect}
size={local.wide ? "normal" : "compact"}
working={local.working}
/>
</div>
</div>
</Show>
)
}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/util",
"version": "1.0.124",
"version": "1.0.116",
"private": true,
"type": "module",
"exports": {
+1 -1
View File
@@ -2,7 +2,7 @@ import type { Part } from "@opencode-ai/sdk/client"
export const sanitize = (text: string | undefined, remove?: RegExp) => (remove ? text?.replace(remove, "") : text) ?? ""
export const sanitizePart = (part: Part, remove: RegExp | undefined) => {
export const sanitizePart = (part: Part, remove: RegExp) => {
if (part.type === "text") {
part.text = sanitize(part.text, remove)
} else if (part.type === "reasoning") {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/web",
"type": "module",
"version": "1.0.124",
"version": "1.0.116",
"scripts": {
"dev": "astro dev",
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
+1 -9
View File
@@ -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 two built-in subagents, **General** and **Explore**. We'll look at this below.
OpenCode comes with one built-in subagent, **General**. We'll look at this below.
---
@@ -76,14 +76,6 @@ 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.
+1 -11
View File
@@ -26,7 +26,6 @@ OpenCode comes with several built-in formatters for popular languages and framew
| standardrb | .rb, .rake, .gemspec, .ru | `standardrb` command available |
| htmlbeautifier | .erb, .html.erb | `htmlbeautifier` command available |
| air | .R | `air` command available |
| dart | .dart | `dart` command available |
So if your project has `prettier` in your `package.json`, OpenCode will automatically use it.
@@ -70,16 +69,7 @@ Let's look at some examples.
### Disabling formatters
To disable **all** formatters globally, set `formatter` to `false`:
```json title="opencode.json" {3}
{
"$schema": "https://opencode.ai/config.json",
"formatter": false
}
```
To disable a **specific** formatter, set `disabled` to `true`:
To disable a specific formatter, set `disabled` to `true`:
```json title="opencode.json" {5}
{
+1 -11
View File
@@ -32,7 +32,6 @@ OpenCode comes with several built-in LSP servers for popular languages:
| lua-ls | .lua | Auto-installs for Lua projects |
| sourcekit-lsp | .swift, .objc, .objcpp | `swift` installed (`xcode` on macOS) |
| php intelephense | .php | Auto-installs for PHP projects |
| dart | .dart | `dart` command available |
LSP servers are automatically enabled when one of the above file extensions are detected and the requirements are met.
@@ -78,16 +77,7 @@ Let's look at some examples.
### Disabling LSP servers
To disable **all** LSP servers globally, set `lsp` to `false`:
```json title="opencode.json" {3}
{
"$schema": "https://opencode.ai/config.json",
"lsp": false
}
```
To disable a **specific** LSP server, set `disabled` to `true`:
To disable a specific LSP server, set `disabled` to `true`:
```json title="opencode.json" {5}
{
-8
View File
@@ -245,10 +245,6 @@ 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.
:::note
This tool is disabled for subagents by default, but you can enable it manually. [Learn more](/docs/agents/#tools)
:::
---
### todoread
@@ -266,10 +262,6 @@ 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 -2
View File
@@ -108,8 +108,8 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| Big Pickle | Free | Free | Free | - |
| Grok Code Fast 1 | Free | Free | Free | - |
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
| Kimi K2 | $0.40 | $2.50 | - | - |
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
| Kimi K2 | $0.45 | $2.50 | - | - |
| Kimi K2 Thinking | $0.60 | $2.50 | - | - |
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
-38
View File
@@ -73,44 +73,6 @@ if (!Script.preview) {
console.log(notes.join("\n"))
console.log("-----------------------------")
opencode.server.close()
// Get contributors
const team = [
"actions-user",
"opencode",
"rekram1-node",
"thdxr",
"kommander",
"jayair",
"fwang",
"adamdotdevin",
"opencode-agent[bot]",
]
const compare =
await $`gh api "/repos/sst/opencode/compare/v${previous}...HEAD" --jq '.commits[] | {login: .author.login, message: .commit.message}'`.text()
const contributors = new Map<string, string[]>()
for (const line of compare.split("\n").filter(Boolean)) {
const { login, message } = JSON.parse(line) as { login: string | null; message: string }
const title = message.split("\n")[0] ?? ""
if (title.match(/^(ignore:|test:|chore:|ci:|release:)/i)) continue
if (login && !team.includes(login)) {
if (!contributors.has(login)) contributors.set(login, [])
contributors.get(login)?.push(title)
}
}
if (contributors.size > 0) {
notes.push("")
notes.push(`**Thank you to ${contributors.size} community contributor${contributors.size > 1 ? "s" : ""}:**`)
for (const [username, userCommits] of contributors) {
notes.push(`- @${username}:`)
for (const commit of userCommits) {
notes.push(` - ${commit}`)
}
}
}
}
const pkgjsons = await Array.fromAsync(
+1 -1
View File
@@ -2,7 +2,7 @@
"name": "opencode",
"displayName": "opencode",
"description": "opencode for VS Code",
"version": "1.0.124",
"version": "1.0.116",
"publisher": "sst-dev",
"repository": {
"type": "git",