Compare commits

..

13 Commits

Author SHA1 Message Date
Simon Klee d4807d3ff3 bump opentui snapshot to 0.0.0-20260717-0afb0c25 2026-07-17 07:16:40 +02:00
Simon Klee bfcee9872f cli: resolve ws from package root 2026-07-16 11:53:02 +02:00
Simon Klee 68af4f7463 tui: drop Bun-only sleep and width APIs 2026-07-16 11:09:21 +02:00
Simon Klee 6fd04de318 fixup! bump opentui snapshot to 0.0.0-20260716-d8afb9e5 2026-07-16 10:43:11 +02:00
Simon Klee ea033154b2 bump opentui snapshot to 0.0.0-20260716-d8afb9e5 2026-07-16 08:52:18 +02:00
Simon Klee 098aaa1b84 feat(cli): publish Node builds as opencode2-node 2026-07-16 08:44:36 +02:00
Simon Klee 19951c08f3 fix(core): update built-in provider imports 2026-07-16 08:44:36 +02:00
Simon Klee bd6f1add9a cli: allow custom build output directory
Hardcoding dist forces every build into the same tree.
2026-07-16 08:44:36 +02:00
Simon Klee 0881c78e28 feat(cli): build Node SEA artifacts 2026-07-16 08:44:36 +02:00
Simon Klee f145d8040e feat(cli): add Node runtime bootstrap 2026-07-16 08:44:36 +02:00
Simon Klee 0c2efdbf5c refactor(cli): remove Bun-only runtime APIs 2026-07-16 08:44:36 +02:00
Simon Klee 87a488e3ce feat(tui): add Node runtime adapters 2026-07-16 08:44:36 +02:00
Simon Klee 12a294c5d0 feat(core): add Node runtime support 2026-07-16 08:44:36 +02:00
405 changed files with 4486 additions and 13039 deletions
-5
View File
@@ -1,5 +0,0 @@
---
"@opencode-ai/cli": patch
---
Expose a TUI plugin slot at the top of the session view.
-7
View File
@@ -1,7 +0,0 @@
---
"@opencode-ai/client": patch
"@opencode-ai/plugin": patch
"@opencode-ai/protocol": patch
---
Expose transient, read-only session generation through the HTTP API, generated clients, and V2 plugin session context.
-5
View File
@@ -1,5 +0,0 @@
---
"@opencode-ai/cli": patch
---
Expose a TUI plugin slot above the session composer.
+2 -4
View File
@@ -135,7 +135,7 @@ jobs:
- target: darwin-arm64
host: macos-26
- target: windows-arm64
host: blacksmith-4vcpu-windows-2025
host: windows-2025
- target: windows-x64
host: blacksmith-4vcpu-windows-2025
runs-on: ${{ matrix.settings.host }}
@@ -146,15 +146,13 @@ jobs:
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
- uses: ./.github/actions/setup-bun
with:
install-flags: --os=* --cpu=*
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
with:
node-version: "26.4.0"
- name: Build
run: bun packages/cli/script/build-node.ts --target=${{ matrix.settings.target }} --skip-install --outdir=dist/node
run: bun packages/cli/script/build-node.ts --target=${{ matrix.settings.target }} --outdir=dist/node
env:
OPENCODE_VERSION: ${{ needs.version.outputs.version }}
OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
+65 -94
View File
@@ -53,7 +53,7 @@
},
"packages/app": {
"name": "@opencode-ai/app",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@corvu/drawer": "catalog:",
"@dnd-kit/abstract": "0.5.0",
@@ -119,7 +119,7 @@
},
"packages/cli": {
"name": "@opencode-ai/cli",
"version": "1.18.3",
"version": "1.18.2",
"bin": {
"opencode2": "./bin/opencode2.cjs",
},
@@ -185,7 +185,7 @@
"effect": "catalog:",
},
"peerDependencies": {
"effect": "4.0.0-beta.98",
"effect": "4.0.0-beta.83",
},
"optionalPeers": [
"effect",
@@ -193,7 +193,7 @@
},
"packages/codemode": {
"name": "@opencode-ai/codemode",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"acorn": "8.15.0",
"effect": "catalog:",
@@ -207,7 +207,7 @@
},
"packages/console/app": {
"name": "@opencode-ai/console-app",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@ibm/plex": "6.4.1",
@@ -243,7 +243,7 @@
},
"packages/console/core": {
"name": "@opencode-ai/console-core",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@aws-sdk/client-sts": "3.782.0",
"@jsx-email/render": "1.1.1",
@@ -270,7 +270,7 @@
},
"packages/console/function": {
"name": "@opencode-ai/console-function",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@ai-sdk/anthropic": "3.0.82",
"@ai-sdk/openai": "3.0.48",
@@ -292,7 +292,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -316,7 +316,7 @@
},
"packages/console/support": {
"name": "@opencode-ai/console-support",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@opencode-ai/console-core": "workspace:*",
@@ -336,7 +336,7 @@
},
"packages/core": {
"name": "@opencode-ai/core",
"version": "1.18.3",
"version": "1.18.2",
"bin": {
"opencode": "./bin/opencode",
},
@@ -433,7 +433,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@zip.js/zip.js": "2.7.62",
"effect": "catalog:",
@@ -493,7 +493,7 @@
},
"packages/effect-drizzle-sqlite": {
"name": "@opencode-ai/effect-drizzle-sqlite",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"drizzle-orm": "catalog:",
"effect": "catalog:",
@@ -507,7 +507,7 @@
},
"packages/effect-sqlite-node": {
"name": "@opencode-ai/effect-sqlite-node",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"effect": "catalog:",
},
@@ -519,7 +519,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@hono/standard-validator": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -551,7 +551,7 @@
},
"packages/function": {
"name": "@opencode-ai/function",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@octokit/auth-app": "8.0.1",
"@octokit/rest": "catalog:",
@@ -567,9 +567,9 @@
},
"packages/http-recorder": {
"name": "@opencode-ai/http-recorder",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@effect/platform-node-shared": "4.0.0-beta.98",
"@effect/platform-node-shared": "4.0.0-beta.83",
},
"devDependencies": {
"@effect/platform-node": "catalog:",
@@ -599,7 +599,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.18.3",
"version": "1.18.2",
"bin": {
"opencode": "./bin/opencode",
},
@@ -732,7 +732,7 @@
},
"packages/plugin": {
"name": "@opencode-ai/plugin",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@ai-sdk/provider": "3.0.8",
"@opencode-ai/ai": "workspace:*",
@@ -754,9 +754,9 @@
"typescript": "catalog:",
},
"peerDependencies": {
"@opentui/core": ">=0.4.5",
"@opentui/keymap": ">=0.4.5",
"@opentui/solid": ">=0.4.5",
"@opentui/core": "0.0.0-20260717-0afb0c25",
"@opentui/keymap": "0.0.0-20260717-0afb0c25",
"@opentui/solid": "0.0.0-20260717-0afb0c25",
},
"optionalPeers": [
"@opentui/core",
@@ -821,7 +821,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"cross-spawn": "catalog:",
},
@@ -836,7 +836,7 @@
},
"packages/server": {
"name": "@opencode-ai/server",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@effect/platform-node": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -853,7 +853,7 @@
},
"packages/session-ui": {
"name": "@opencode-ai/session-ui",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -900,9 +900,6 @@
"version": "1.17.13",
"dependencies": {
"@fontsource/commit-mono": "5.2.5",
"@fontsource/noto-sans-math": "5.2.5",
"@fontsource/noto-sans-symbols": "5.2.5",
"@fontsource/noto-sans-symbols-2": "5.2.5",
"@napi-rs/canvas": "1.0.2",
"@opencode-ai/ai": "workspace:*",
"@opencode-ai/core": "workspace:*",
@@ -917,7 +914,7 @@
},
"packages/slack": {
"name": "@opencode-ai/slack",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"@slack/bolt": "^3.17.1",
@@ -930,7 +927,7 @@
},
"packages/stats/app": {
"name": "@opencode-ai/stats-app",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@ibm/plex": "6.4.1",
"@kobalte/core": "catalog:",
@@ -964,7 +961,7 @@
},
"packages/stats/core": {
"name": "@opencode-ai/stats-core",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@aws-sdk/client-athena": "3.933.0",
"@planetscale/database": "1.19.0",
@@ -983,7 +980,7 @@
},
"packages/stats/server": {
"name": "@opencode-ai/stats-server",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@aws-sdk/client-firehose": "3.933.0",
"@effect/platform-node": "catalog:",
@@ -1024,7 +1021,7 @@
},
"packages/tui": {
"name": "@opencode-ai/tui",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@opencode-ai/client": "workspace:*",
"@opencode-ai/core": "workspace:*",
@@ -1056,7 +1053,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@kobalte/core": "catalog:",
"@pierre/diffs": "catalog:",
@@ -1107,7 +1104,7 @@
},
"packages/web": {
"name": "@opencode-ai/web",
"version": "1.18.3",
"version": "1.18.2",
"dependencies": {
"@astrojs/cloudflare": "12.6.3",
"@astrojs/markdown-remark": "6.3.1",
@@ -1183,26 +1180,26 @@
"@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
"gcp-metadata@8.1.2": "patches/gcp-metadata@8.1.2.patch",
"@standard-community/standard-openapi@0.2.9": "patches/@standard-community%2Fstandard-openapi@0.2.9.patch",
"effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
"@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
"@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
"pacote@21.5.0": "patches/pacote@21.5.0.patch",
"effect@4.0.0-beta.98": "patches/effect@4.0.0-beta.98.patch",
},
"overrides": {
"@opentui/core": "catalog:",
"@opentui/keymap": "catalog:",
"@opentui/solid": "catalog:",
"@opentui/core": "0.0.0-20260717-0afb0c25",
"@opentui/keymap": "0.0.0-20260717-0afb0c25",
"@opentui/solid": "0.0.0-20260717-0afb0c25",
"@types/bun": "catalog:",
"@types/node": "catalog:",
},
"catalog": {
"@cloudflare/workers-types": "4.20251008.0",
"@corvu/drawer": "0.2.4",
"@effect/opentelemetry": "4.0.0-beta.98",
"@effect/platform-node": "4.0.0-beta.98",
"@effect/sql-sqlite-bun": "4.0.0-beta.98",
"@effect/opentelemetry": "4.0.0-beta.83",
"@effect/platform-node": "4.0.0-beta.83",
"@effect/sql-sqlite-bun": "4.0.0-beta.83",
"@hono/standard-validator": "0.2.0",
"@hono/zod-validator": "0.4.2",
"@kobalte/core": "0.13.11",
@@ -1210,9 +1207,9 @@
"@npmcli/arborist": "9.4.0",
"@octokit/rest": "22.0.0",
"@openauthjs/openauth": "0.0.0-20250322224806",
"@opentui/core": "0.4.5",
"@opentui/keymap": "0.4.5",
"@opentui/solid": "0.4.5",
"@opentui/core": "0.0.0-20260717-0afb0c25",
"@opentui/keymap": "0.0.0-20260717-0afb0c25",
"@opentui/solid": "0.0.0-20260717-0afb0c25",
"@pierre/diffs": "1.2.10",
"@playwright/test": "1.59.1",
"@sentry/solid": "10.36.0",
@@ -1238,7 +1235,7 @@
"dompurify": "3.3.1",
"drizzle-kit": "1.0.0-rc.2",
"drizzle-orm": "1.0.0-rc.2",
"effect": "4.0.0-beta.98",
"effect": "4.0.0-beta.83",
"fuzzysort": "3.1.0",
"get-east-asian-width": "1.6.0",
"hono": "4.10.7",
@@ -1642,13 +1639,13 @@
"@drizzle-team/brocli": ["@drizzle-team/brocli@0.11.0", "", {}, "sha512-hD3pekGiPg0WPCCGAZmusBBJsDqGUR66Y452YgQsZOnkdQ7ViEPKuyP4huUGEZQefp8g34RRodXYmJ2TbCH+tg=="],
"@effect/opentelemetry": ["@effect/opentelemetry@4.0.0-beta.98", "", { "peerDependencies": { "@opentelemetry/api": "^1.9", "@opentelemetry/api-logs": ">=0.203.0 <0.300.0", "@opentelemetry/resources": "^2.0.0", "@opentelemetry/sdk-logs": ">=0.203.0 <0.300.0", "@opentelemetry/sdk-metrics": "^2.0.0", "@opentelemetry/sdk-trace-base": "^2.0.0", "@opentelemetry/sdk-trace-node": "^2.0.0", "@opentelemetry/sdk-trace-web": "^2.0.0", "@opentelemetry/semantic-conventions": "^1.33.0", "effect": "^4.0.0-beta.98" }, "optionalPeers": ["@opentelemetry/api", "@opentelemetry/api-logs", "@opentelemetry/resources", "@opentelemetry/sdk-logs", "@opentelemetry/sdk-metrics", "@opentelemetry/sdk-trace-base", "@opentelemetry/sdk-trace-node", "@opentelemetry/sdk-trace-web"] }, "sha512-ITfK8xhcl+9GXOvPwzADWkOQ+dgUGZrJNefT3r2+uLFmzjyKRLtHzhLOl6lZaLSsf5io13+nmt8adfMRQPq+oA=="],
"@effect/opentelemetry": ["@effect/opentelemetry@4.0.0-beta.83", "", { "peerDependencies": { "@opentelemetry/api": "^1.9", "@opentelemetry/api-logs": ">=0.203.0 <0.300.0", "@opentelemetry/resources": "^2.0.0", "@opentelemetry/sdk-logs": ">=0.203.0 <0.300.0", "@opentelemetry/sdk-metrics": "^2.0.0", "@opentelemetry/sdk-trace-base": "^2.0.0", "@opentelemetry/sdk-trace-node": "^2.0.0", "@opentelemetry/sdk-trace-web": "^2.0.0", "@opentelemetry/semantic-conventions": "^1.33.0", "effect": "^4.0.0-beta.83" }, "optionalPeers": ["@opentelemetry/api", "@opentelemetry/api-logs", "@opentelemetry/resources", "@opentelemetry/sdk-logs", "@opentelemetry/sdk-metrics", "@opentelemetry/sdk-trace-base", "@opentelemetry/sdk-trace-node", "@opentelemetry/sdk-trace-web"] }, "sha512-cPfCfp/ghu0itbX6Dqjdr4N0rbjng5ON4sUpnLHV5JJySG8zZpWmuOZLWIrfrNKT2ctYR1BYmp1aYCgkItaJLw=="],
"@effect/platform-node": ["@effect/platform-node@4.0.0-beta.98", "", { "dependencies": { "@effect/platform-node-shared": "^4.0.0-beta.98", "mime": "^4.1.0", "undici": "^8.7.0" }, "peerDependencies": { "effect": "^4.0.0-beta.98", "ioredis": "^5.7.0" } }, "sha512-IQu1TiLXQEDSGkDBllyYjVadf+UqdjptryqX4mmktVTTbGDq7X4uVxe7cSgXuqZvyfG6kagTzwj2lfynxOaKQg=="],
"@effect/platform-node": ["@effect/platform-node@4.0.0-beta.83", "", { "dependencies": { "@effect/platform-node-shared": "^4.0.0-beta.83", "mime": "^4.1.0", "undici": "^8.2.0" }, "peerDependencies": { "effect": "^4.0.0-beta.83", "ioredis": "^5.7.0" } }, "sha512-RmpVGu/+X/Bif3/g1Rzj8oFzTOknoVB3yHCa0b179vytPpKe+Kj9ZwKNcAnKWqHUDkbSPBq1Ca60mvOHr2/+LQ=="],
"@effect/platform-node-shared": ["@effect/platform-node-shared@4.0.0-beta.98", "", { "dependencies": { "@types/ws": "^8.18.1", "ws": "^8.21.0" }, "peerDependencies": { "effect": "^4.0.0-beta.98" } }, "sha512-iySXaffnCJX1sNAIp79ghhIeui9E5qwUQyqd1VLPkB9UNO4vdpd9B5fTEXwe7S/GusL4jsk9vSvX38XJgRFG1w=="],
"@effect/platform-node-shared": ["@effect/platform-node-shared@4.0.0-beta.83", "", { "dependencies": { "@types/ws": "^8.18.1", "ws": "^8.20.0" }, "peerDependencies": { "effect": "^4.0.0-beta.83" } }, "sha512-+yr/+PJmKTgmJq1QOINSBPgLu7Cjc4CZcotBXnGjyDEizOmimFgTkN2B8PBJAKIKUWYWfobjXqC+58/VhhPKAw=="],
"@effect/sql-sqlite-bun": ["@effect/sql-sqlite-bun@4.0.0-beta.98", "", { "peerDependencies": { "effect": "^4.0.0-beta.98" } }, "sha512-cc41uLhYBqexdbTNu4dlui+31E8hcVLEapLySa0C8d60FmBY8IEAV/RD3oF+6pqPslKEZ9p1+XVLdDm0iflw5Q=="],
"@effect/sql-sqlite-bun": ["@effect/sql-sqlite-bun@4.0.0-beta.83", "", { "peerDependencies": { "effect": "^4.0.0-beta.83" } }, "sha512-6OaxLsWffxkh9pXYUSyj/AxjVb9URY2rG9U6atjxClWy30Jx77R9Pm3Rrc7cQ63kQurePavEw1bQbzQ/SILiQQ=="],
"@electron/asar": ["@electron/asar@3.4.1", "", { "dependencies": { "commander": "^5.0.0", "glob": "^7.1.6", "minimatch": "^3.0.4" }, "bin": { "asar": "bin/asar.js" } }, "sha512-i4/rNPRS84t0vSRa2HorerGRXWyF4vThfHesw0dmcWHp+cspK743UanA0suA5Q5y8kzY2y6YKrvbIUn69BCAiA=="],
@@ -1798,12 +1795,6 @@
"@fontsource/inter": ["@fontsource/inter@5.2.8", "", {}, "sha512-P6r5WnJoKiNVV+zvW2xM13gNdFhAEpQ9dQJHt3naLvfg+LkF2ldgSLiF4T41lf1SQCM9QmkqPTn4TH568IRagg=="],
"@fontsource/noto-sans-math": ["@fontsource/noto-sans-math@5.2.5", "", {}, "sha512-1bxEvVlF51Vfgpju32mRZzI/CHvsfqjXjI2+sAuEyHYvXABUAIyj+93sCO3QZIoMG5drWyrzgoCqRQRaL6wQ8Q=="],
"@fontsource/noto-sans-symbols": ["@fontsource/noto-sans-symbols@5.2.5", "", {}, "sha512-mxoIRstsmZpZFzd/SRWiD+l6T7TGhpgCrGs7TEnnuGSQIfjVMrQT9Zej2enh9pkfmPNAFyeaGJkHkszJ1hH++w=="],
"@fontsource/noto-sans-symbols-2": ["@fontsource/noto-sans-symbols-2@5.2.5", "", {}, "sha512-F4O9WLifwoZS1quNzY1ebjMNo2cQPe/UP68Dmud0ONi2lOxaR6xp6fFPO2gG17MI7DwAnfMyQFl64A2tAd28hg=="],
"@fuma-translate/react": ["@fuma-translate/react@1.0.2", "", { "peerDependencies": { "@types/react": "*", "react": "^19.2.0", "react-dom": "^19.2.0" }, "optionalPeers": ["@types/react"] }, "sha512-uOiOtBx3nRXR8Nu1GzBf1tApgF1FErDBTHxRIAQeyQdyOoZbrNRN6H4kDCWObY4qyGeGbHydG0DHzgeUgFDMIw=="],
"@fumadocs/tailwind": ["@fumadocs/tailwind@0.1.0", "", { "peerDependencies": { "tailwindcss": "^4.0.0" }, "optionalPeers": ["tailwindcss"] }, "sha512-nF/DCAwOR21HZ4AkjIOv3Iqwyqywzb6pdyeMcoa+aZzirXj5ntvNZbe3jJ0v3ehhtrRfYYeXBezvjn8ZmV+fuQ=="],
@@ -2302,27 +2293,27 @@
"@opentelemetry/semantic-conventions": ["@opentelemetry/semantic-conventions@1.41.1", "", {}, "sha512-/UhIkaZgPutTFmQ7RnIJGgDXZmtEJ7Dvi86xNTFWcnRxVRNk/aotsqDJYeEvDP+FSMB2SdW+pQzNMcWP0rwuNA=="],
"@opentui/core": ["@opentui/core@0.4.5", "", { "dependencies": { "bun-ffi-structs": "0.2.4", "diff": "9.0.0", "marked": "17.0.1", "string-width": "7.2.0", "strip-ansi": "7.1.2" }, "optionalDependencies": { "@opentui/core-darwin-arm64": "0.4.5", "@opentui/core-darwin-x64": "0.4.5", "@opentui/core-linux-arm64": "0.4.5", "@opentui/core-linux-arm64-musl": "0.4.5", "@opentui/core-linux-x64": "0.4.5", "@opentui/core-linux-x64-musl": "0.4.5", "@opentui/core-win32-arm64": "0.4.5", "@opentui/core-win32-x64": "0.4.5" }, "peerDependencies": { "web-tree-sitter": "0.25.10" } }, "sha512-JsgRTPkA6e+Vxmumxai6SElOSlRQkbzNKHlCfemlArRiLhfC1IZ9RXJo2QH4xSu+uBOWAM90uss73/pPlkdEig=="],
"@opentui/core": ["@opentui/core@0.0.0-20260717-0afb0c25", "", { "dependencies": { "bun-ffi-structs": "0.2.4", "diff": "9.0.0", "marked": "17.0.1", "string-width": "7.2.0", "strip-ansi": "7.1.2" }, "optionalDependencies": { "@opentui/core-darwin-arm64": "0.0.0-20260717-0afb0c25", "@opentui/core-darwin-x64": "0.0.0-20260717-0afb0c25", "@opentui/core-linux-arm64": "0.0.0-20260717-0afb0c25", "@opentui/core-linux-arm64-musl": "0.0.0-20260717-0afb0c25", "@opentui/core-linux-x64": "0.0.0-20260717-0afb0c25", "@opentui/core-linux-x64-musl": "0.0.0-20260717-0afb0c25", "@opentui/core-win32-arm64": "0.0.0-20260717-0afb0c25", "@opentui/core-win32-x64": "0.0.0-20260717-0afb0c25" }, "peerDependencies": { "web-tree-sitter": "0.25.10" } }, "sha512-C27k1sqoh6VP1F3i+fjhT6AOvfgzHaXe+nOtIR0s0T9OmTANQ4VmEW2ryo3+zC4zOSfraUD0Jya/YHECowBRMg=="],
"@opentui/core-darwin-arm64": ["@opentui/core-darwin-arm64@0.4.5", "", { "os": "darwin", "cpu": "arm64" }, "sha512-8KUG0oRidnR+oW1RSZJ72/PhZLl+qRRMk5U/mieF4c0SJ5V3tYACpBZAKzQfHNd1f7QzD8FHZct1lPpQgtmkWg=="],
"@opentui/core-darwin-arm64": ["@opentui/core-darwin-arm64@0.0.0-20260717-0afb0c25", "", { "os": "darwin", "cpu": "arm64" }, "sha512-LNJeXNtqtNd/FGI/4O0deL0paWhTT7d8m2XidgTiVH8BydYZDLewFMSHo4AHYeHViI3pKR/97rxhty3FZLySYA=="],
"@opentui/core-darwin-x64": ["@opentui/core-darwin-x64@0.4.5", "", { "os": "darwin", "cpu": "x64" }, "sha512-R2bocsg55gwjOqCp/MWFgFYzRmsduKegB6nzgFAPCvAD/L5Jf30xpWJWFlSg3x8vxe1L9WJ84dfqa4M7mZZ3wA=="],
"@opentui/core-darwin-x64": ["@opentui/core-darwin-x64@0.0.0-20260717-0afb0c25", "", { "os": "darwin", "cpu": "x64" }, "sha512-hgAmy1WS/g2K8t7iLXQDiWJaNo6P1QcyIZDHCK1HZz0/3Zaz8igCXggqo4JrZ53s2rWPV2Eo/yDtIy3034yErg=="],
"@opentui/core-linux-arm64": ["@opentui/core-linux-arm64@0.4.5", "", { "os": "linux", "cpu": "arm64" }, "sha512-R4MZ25a4CzOAGVjW9aj1hUfzQGVfCJwrwBDbNs2SXaIvzcZqkxCVtU4FoQ5LsaD0j/BdNQVg2CIfFkFsm1fDuQ=="],
"@opentui/core-linux-arm64": ["@opentui/core-linux-arm64@0.0.0-20260717-0afb0c25", "", { "os": "linux", "cpu": "arm64" }, "sha512-oFWULMWrHquagwZ7avpSScvhStP0dn+kAWz4Zrj0VVcVAw9DiVc7RxRGw/r6jVAo1W8wR2TSMsDbJp3FkbLCTg=="],
"@opentui/core-linux-arm64-musl": ["@opentui/core-linux-arm64-musl@0.4.5", "", { "os": "linux", "cpu": "arm64" }, "sha512-ieqdyKI6EIYPalYAETB2wsdP83hr5Ifi+dFnBFUmdEEFHsoKwBmn2S7bsTOYlX7Bg03F4/YPIg+IvRpeC+cUJw=="],
"@opentui/core-linux-arm64-musl": ["@opentui/core-linux-arm64-musl@0.0.0-20260717-0afb0c25", "", { "os": "linux", "cpu": "arm64" }, "sha512-5ieoKyjV1yx+asSBYIL/8np3ExK+O4s9WhryRlRvAMvZSa93iEeCrYVZCtmKkP/Az/C8XUu6dSldoQIbw/BI2A=="],
"@opentui/core-linux-x64": ["@opentui/core-linux-x64@0.4.5", "", { "os": "linux", "cpu": "x64" }, "sha512-SNyuQoxMKI1vuJhgxSSW96adWM6LqFl2SoS3GM4tGeneGOanVVG2Y06PvlytXvF4cKik97t0rqkVMRetmOs93w=="],
"@opentui/core-linux-x64": ["@opentui/core-linux-x64@0.0.0-20260717-0afb0c25", "", { "os": "linux", "cpu": "x64" }, "sha512-fmEm52sLLedU4o4qTdfDAkCKH6GVCo0saaZv/tpa/Ey6AbSs+y9xMI6yiltqXPhmTPb7pd7yMFnm5Yo/oeYGXw=="],
"@opentui/core-linux-x64-musl": ["@opentui/core-linux-x64-musl@0.4.5", "", { "os": "linux", "cpu": "x64" }, "sha512-mKVKcIcPiSVVZZsdPSBoWwoa2/TCeQAaMDeHF7PFw2kt5bTXZPP7xxWfRQLCNIcA1eaGl59UuwUWHDR2Ve548Q=="],
"@opentui/core-linux-x64-musl": ["@opentui/core-linux-x64-musl@0.0.0-20260717-0afb0c25", "", { "os": "linux", "cpu": "x64" }, "sha512-nrE616u1icMTqUgxP3gO4JyZzJytFafBjwX+v104iTfsS0YMxX/ailJghb465zkVlzmZ4spSOOnTPrfmYl5MhA=="],
"@opentui/core-win32-arm64": ["@opentui/core-win32-arm64@0.4.5", "", { "os": "win32", "cpu": "arm64" }, "sha512-GHTTsqeR45q2Iek9Rb7ty+x/hAKn2jZ1ujlCgPR8LBKyF7h0E1dNFryoZ7ehMc3kJndP1sKn836IemKFqxuDdQ=="],
"@opentui/core-win32-arm64": ["@opentui/core-win32-arm64@0.0.0-20260717-0afb0c25", "", { "os": "win32", "cpu": "arm64" }, "sha512-03muWP2Dsk2QJZXK3fRoq6ld5VATA2daBjU+nmfhpJZiayxwToBh4RYxCRm+pGmS+XjxET8PdY2YTq5Ne3Wltw=="],
"@opentui/core-win32-x64": ["@opentui/core-win32-x64@0.4.5", "", { "os": "win32", "cpu": "x64" }, "sha512-Y8T/yXCDGagRGiQrtmuB6AhRcPucKFs/Dre3v8kJwNYqDccI4FzUPKclZ7djfmRZNjl7JUqPhZZP/PwDpQocMg=="],
"@opentui/core-win32-x64": ["@opentui/core-win32-x64@0.0.0-20260717-0afb0c25", "", { "os": "win32", "cpu": "x64" }, "sha512-qov2smWOjpiARZzCaCPjpsM+Qw0pcnKDOGLSpKrNXTwrdO3pt32q4vJYKdAoN99lC70YfcaxXaWg/ol2axJV1Q=="],
"@opentui/keymap": ["@opentui/keymap@0.4.5", "", { "dependencies": { "@opentui/core": "0.4.5" }, "peerDependencies": { "@opentui/react": "0.4.5", "@opentui/solid": "0.4.5", "react": ">=19.2.0", "solid-js": "1.9.12" }, "optionalPeers": ["@opentui/react", "@opentui/solid", "react", "solid-js"] }, "sha512-S1wzKHhF70zT6bH+VBFY+lSeTImLcIFW28JNQiME8MoPcy6KGPs7rKFSHrb/U7P8rsTJeRfW5A4d1Cy6PKodDg=="],
"@opentui/keymap": ["@opentui/keymap@0.0.0-20260717-0afb0c25", "", { "dependencies": { "@opentui/core": "0.0.0-20260717-0afb0c25" }, "peerDependencies": { "@opentui/react": "0.0.0-20260717-0afb0c25", "@opentui/solid": "0.0.0-20260717-0afb0c25", "react": ">=19.2.0", "solid-js": "1.9.12" }, "optionalPeers": ["@opentui/react", "@opentui/solid", "react", "solid-js"] }, "sha512-byAjR2aOZLJ4nLoHnUo45wtkP458Nlusqahxp0oZvyzYasOu2OrtZK4AUQyuFg7/ncLMP0V04KoQqT3GwBOqkg=="],
"@opentui/solid": ["@opentui/solid@0.4.5", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.4.5", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-B0RSkXnrtPVfEJOX+Hj+axjLJ3lzbG1BZw5I7Pvb9OPp48Vzg2cW2a3cSa86/q48ndLt647i/XwFPIw/jqnI5g=="],
"@opentui/solid": ["@opentui/solid@0.0.0-20260717-0afb0c25", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.0.0-20260717-0afb0c25", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-GIAwS1a+ZFMSMR8W5KyvErcVNgddqo5U/KRDoL8/8wUjdKRP/3XyZQj8a23AXTJX3Yv8C5DkTQEKQymkXq2Wlg=="],
"@orama/orama": ["@orama/orama@3.1.18", "", {}, "sha512-a61ljmRVVyG5MC/698C8/FfFDw5a8LOIvyOLW5fztgUXqUpc1jOfQzOitSCbge657OgXXThmY3Tk8fpiDb4UcA=="],
@@ -4046,7 +4037,7 @@
"ee-first": ["ee-first@1.1.1", "", {}, "sha512-WMwm9LhRUo+WUaRN+vRuETqG89IgZphVSNkdFgeb6sS/E4OrDIN7t48CAewSHXc6C8lefD8KKfr5vY61brQlow=="],
"effect": ["effect@4.0.0-beta.98", "", { "dependencies": { "@standard-schema/spec": "^1.1.0", "fast-check": "^4.9.0", "find-my-way-ts": "^0.1.6", "ini": "^7.0.0", "kubernetes-types": "^1.30.0", "msgpackr": "^2.0.4", "multipasta": "^0.2.8", "toml": "^4.1.2", "uuid": "^14.0.1", "yaml": "^2.9.0" } }, "sha512-oz+bsG5h+6RNrw4t5GMfQrk/xBS8ROoqkYsuvRhBr5O7mCOrpvH/hbw+QrDzvKIpX4HJClwm86F94c87W0sJxg=="],
"effect": ["effect@4.0.0-beta.83", "", { "dependencies": { "@standard-schema/spec": "^1.1.0", "fast-check": "^4.8.0", "find-my-way-ts": "^0.1.6", "ini": "^7.0.0", "kubernetes-types": "^1.30.0", "msgpackr": "^2.0.1", "multipasta": "^0.2.7", "toml": "^4.1.1", "uuid": "^14.0.0", "yaml": "^2.9.0" } }, "sha512-0wsak8RtgGAr9UWSbVDgJHZcUqMSvicHcvaZv1MbMM7MCGgW4Rn/137J1MHQbwYPcwYGxT/IqehFd+UbYuj78w=="],
"ejs": ["ejs@3.1.10", "", { "dependencies": { "jake": "^10.8.5" }, "bin": { "ejs": "bin/cli.js" } }, "sha512-UeJmFfOrAQS8OJWPZ4qtgHyWExa088/MtK5UEyoJGFH67cDEXkZSviOiKRCZ4Xij0zxI3JECgYs3oKx+AizQBA=="],
@@ -4222,7 +4213,7 @@
"extsprintf": ["extsprintf@1.4.1", "", {}, "sha512-Wrk35e8ydCKDj/ArClo1VrPVmN8zph5V4AtHwIuHhvMXsKf73UT3BOD+azBIW+3wOJ4FhEH7zyaJCFvChjYvMA=="],
"fast-check": ["fast-check@4.9.0", "", { "dependencies": { "pure-rand": "^8.0.0" } }, "sha512-7ms6T7SybUev/PQITciI0yLM2pOSFy5zpG8Ty7tQofcVaQUvrMXp6CBwqF6fThLCLOrfBtuHAtwq6Yu4XPCllg=="],
"fast-check": ["fast-check@4.8.0", "", { "dependencies": { "pure-rand": "^8.0.0" } }, "sha512-GOJ158CUMnN6cSahsv4+ExARvIDuzzinFjkp0E9WtiBa5zcVeLozVkWaE4IzFcc+Y48Wp1EDlUZsXRyAztQcSg=="],
"fast-decode-uri-component": ["fast-decode-uri-component@1.0.1", "", {}, "sha512-WKgKWg5eUxvRZGwW8FvfbaH7AXSh2cL+3j5fMGzUMCxWBJ3dV3a7Wz8y2f/uQ0e3B6WmodD3oS54jTQ9HVTIIg=="],
@@ -5086,7 +5077,7 @@
"ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
"msgpackr": ["msgpackr@2.0.4", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-o1C5KRmuRt+apqMr1HuGSqWStZoRBUpEsCsl15uM9VdAF1qHLtvMOU2En747EnTyEl6c4pzPewRMFF31s1CNbA=="],
"msgpackr": ["msgpackr@2.0.2", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-c5hYOXFbP79Slh6Dzd2wzk+jnV7mX1UxfMYtilnY1NmalXPqG8DGb5cYCMBrW4AsH3zekBBZd4QrKz9NhtvYLQ=="],
"msgpackr-extract": ["msgpackr-extract@3.0.4", "", { "dependencies": { "node-gyp-build-optional-packages": "5.2.2" }, "optionalDependencies": { "@msgpackr-extract/msgpackr-extract-darwin-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-darwin-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-win32-x64": "3.0.4" }, "bin": { "download-msgpackr-prebuilds": "bin/download-prebuilds.js" } }, "sha512-4kmO/MdyUIkLIvTPr8VHLil4AtoKIoniWPIEk5+CDy0xnWC84azhSFmuJ7PxZdsYtiP5kEeQsORAVIeMgxT+Hw=="],
@@ -5094,7 +5085,7 @@
"multicast-dns": ["multicast-dns@7.2.5", "", { "dependencies": { "dns-packet": "^5.2.2", "thunky": "^1.0.2" }, "bin": { "multicast-dns": "cli.js" } }, "sha512-2eznPJP8z2BFLX50tf0LuODrpINqP1RVIm/CObbTcBRITQgmC/TjcREF1NeTBzIcR5XO/ukWo+YHOjBbFwIupg=="],
"multipasta": ["multipasta@0.2.8", "", {}, "sha512-ZPWuMKyv0cSO29f7hozp+k6+crZbQijV8ipMvxNxRf2SwtYGTX1ZX89Kd20VV4H9Znonx+EQn+iy1wGQsJ+b+Q=="],
"multipasta": ["multipasta@0.2.7", "", {}, "sha512-KPA58d68KgGil15oDqXjkUBEBYc00XvbPj5/X+dyzeo/lWm9Nc25pQRlf1D+gv4OpK7NM0J1odrbu9JNNGvynA=="],
"mustache": ["mustache@4.2.0", "", { "bin": { "mustache": "bin/mustache" } }, "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ=="],
@@ -5994,7 +5985,7 @@
"toidentifier": ["toidentifier@1.0.1", "", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],
"toml": ["toml@4.3.0", "", {}, "sha512-lVb8X9BsPVuH0M4BKeS91tXAmJvCjQ5UIyAbQFaxkKGyUFK2RPkhwaFSQH8vbpl1d23eu/IBH+dwVMHWaq9A5A=="],
"toml": ["toml@4.1.1", "", {}, "sha512-EBJnVBr3dTXdA89WVFoAIPUqkBjxPMwRqsfuo1r240tKFHXv3zgca4+NJib/h6TyvGF7vOawz0jGuryJCdNHrw=="],
"toolbeam-docs-theme": ["toolbeam-docs-theme@0.4.8", "", { "peerDependencies": { "@astrojs/starlight": "^0.34.3", "astro": "^5.7.13" } }, "sha512-b+5ynEFp4Woe5a22hzNQm42lD23t13ZMihVxHbzjA50zdcM9aOSJTIjdJ0PDSd4/50HbBXcpHiQsz6rM4N88ww=="],
@@ -6080,7 +6071,7 @@
"uncrypto": ["uncrypto@0.1.3", "", {}, "sha512-Ql87qFHB3s/De2ClA9e0gsnS6zXG27SkTiSJwjCc9MebbfapQfuPzumMIUMi38ezPZVNFcHI9sUIepeQfw8J8Q=="],
"undici": ["undici@8.7.0", "", {}, "sha512-N7iQtfyLhIMOFgQubvmLV26svHpO0bqKnAiWotTQCVKCmWrcGbBotPuW1x+xwYZ2VHdSTVUfPQQnlEt1/LouTQ=="],
"undici": ["undici@8.3.0", "", {}, "sha512-TkUDgb6tl7KOGZ+7e8E3d2FYgUQgF6z5YypqjWmixVQSQERFcVrVg0ySADm2LVLRh5ljAaHTCR5Fmz3Q34rB7Q=="],
"undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
@@ -6162,7 +6153,7 @@
"utils-merge": ["utils-merge@1.0.1", "", {}, "sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA=="],
"uuid": ["uuid@14.0.1", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-6ZxzVpzDXDa3bJWaHilVayA+BH/1zmxCJoVgvmqJnid/gPoKHxUrS/aC/T6LGQtNHT+XHG9fXPJB4d+IrU30Ew=="],
"uuid": ["uuid@14.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg=="],
"valibot": ["valibot@1.4.1", "", { "peerDependencies": { "typescript": ">=5" }, "optionalPeers": ["typescript"] }, "sha512-klCmFTz2jeDluy9RwX+F884TCiogtdBJ/YaxSx1EOBYXa3NXNWj8kR1jjN8rzluwojJVWWaHJ4r1U5LfICnM3g=="],
@@ -8372,26 +8363,6 @@
"@solidjs/start/shiki/@shikijs/types": ["@shikijs/types@1.29.2", "", { "dependencies": { "@shikijs/vscode-textmate": "^10.0.1", "@types/hast": "^3.0.4" } }, "sha512-VJjK0eIijTZf0QSTODEXCqinjBn0joAHQ+aPSBzrv4O2d/QSbsMw+ZeSRx03kV34Hy7NzUvV/7NqfYGRLrASmw=="],
"@standard-community/standard-json/effect/fast-check": ["fast-check@4.8.0", "", { "dependencies": { "pure-rand": "^8.0.0" } }, "sha512-GOJ158CUMnN6cSahsv4+ExARvIDuzzinFjkp0E9WtiBa5zcVeLozVkWaE4IzFcc+Y48Wp1EDlUZsXRyAztQcSg=="],
"@standard-community/standard-json/effect/msgpackr": ["msgpackr@2.0.2", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-c5hYOXFbP79Slh6Dzd2wzk+jnV7mX1UxfMYtilnY1NmalXPqG8DGb5cYCMBrW4AsH3zekBBZd4QrKz9NhtvYLQ=="],
"@standard-community/standard-json/effect/multipasta": ["multipasta@0.2.7", "", {}, "sha512-KPA58d68KgGil15oDqXjkUBEBYc00XvbPj5/X+dyzeo/lWm9Nc25pQRlf1D+gv4OpK7NM0J1odrbu9JNNGvynA=="],
"@standard-community/standard-json/effect/toml": ["toml@4.1.1", "", {}, "sha512-EBJnVBr3dTXdA89WVFoAIPUqkBjxPMwRqsfuo1r240tKFHXv3zgca4+NJib/h6TyvGF7vOawz0jGuryJCdNHrw=="],
"@standard-community/standard-json/effect/uuid": ["uuid@14.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg=="],
"@standard-community/standard-openapi/effect/fast-check": ["fast-check@4.8.0", "", { "dependencies": { "pure-rand": "^8.0.0" } }, "sha512-GOJ158CUMnN6cSahsv4+ExARvIDuzzinFjkp0E9WtiBa5zcVeLozVkWaE4IzFcc+Y48Wp1EDlUZsXRyAztQcSg=="],
"@standard-community/standard-openapi/effect/msgpackr": ["msgpackr@2.0.2", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-c5hYOXFbP79Slh6Dzd2wzk+jnV7mX1UxfMYtilnY1NmalXPqG8DGb5cYCMBrW4AsH3zekBBZd4QrKz9NhtvYLQ=="],
"@standard-community/standard-openapi/effect/multipasta": ["multipasta@0.2.7", "", {}, "sha512-KPA58d68KgGil15oDqXjkUBEBYc00XvbPj5/X+dyzeo/lWm9Nc25pQRlf1D+gv4OpK7NM0J1odrbu9JNNGvynA=="],
"@standard-community/standard-openapi/effect/toml": ["toml@4.1.1", "", {}, "sha512-EBJnVBr3dTXdA89WVFoAIPUqkBjxPMwRqsfuo1r240tKFHXv3zgca4+NJib/h6TyvGF7vOawz0jGuryJCdNHrw=="],
"@standard-community/standard-openapi/effect/uuid": ["uuid@14.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg=="],
"@stoplight/spectral-core/minimatch/brace-expansion": ["brace-expansion@1.1.15", "", { "dependencies": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" } }, "sha512-EwOCDEex4quD37XhqM3omwtMoJjr//isUZz1JopUNWms+4Z2ViyM/k1YIRePpoVNnQhENnxtFjLaxNHrT7xIUg=="],
"@storybook/addon-docs/react-dom/scheduler": ["scheduler@0.23.2", "", { "dependencies": { "loose-envify": "^1.1.0" } }, "sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ=="],
+11 -11
View File
@@ -37,18 +37,18 @@
"packages/slack"
],
"catalog": {
"@effect/opentelemetry": "4.0.0-beta.98",
"@effect/platform-node": "4.0.0-beta.98",
"@effect/sql-sqlite-bun": "4.0.0-beta.98",
"@effect/opentelemetry": "4.0.0-beta.83",
"@effect/platform-node": "4.0.0-beta.83",
"@effect/sql-sqlite-bun": "4.0.0-beta.83",
"@npmcli/arborist": "9.4.0",
"@types/bun": "1.3.13",
"@types/cross-spawn": "6.0.6",
"@octokit/rest": "22.0.0",
"@hono/standard-validator": "0.2.0",
"@hono/zod-validator": "0.4.2",
"@opentui/core": "0.4.5",
"@opentui/keymap": "0.4.5",
"@opentui/solid": "0.4.5",
"@opentui/core": "0.0.0-20260717-0afb0c25",
"@opentui/keymap": "0.0.0-20260717-0afb0c25",
"@opentui/solid": "0.0.0-20260717-0afb0c25",
"@tanstack/solid-virtual": "3.13.32",
"@shikijs/stream": "4.2.0",
"ulid": "3.0.1",
@@ -69,7 +69,7 @@
"dompurify": "3.3.1",
"drizzle-kit": "1.0.0-rc.2",
"drizzle-orm": "1.0.0-rc.2",
"effect": "4.0.0-beta.98",
"effect": "4.0.0-beta.83",
"ai": "6.0.168",
"cross-spawn": "7.0.6",
"hono": "4.10.7",
@@ -148,9 +148,9 @@
"electron"
],
"overrides": {
"@opentui/core": "catalog:",
"@opentui/keymap": "catalog:",
"@opentui/solid": "catalog:",
"@opentui/core": "0.0.0-20260717-0afb0c25",
"@opentui/keymap": "0.0.0-20260717-0afb0c25",
"@opentui/solid": "0.0.0-20260717-0afb0c25",
"@types/bun": "catalog:",
"@types/node": "catalog:"
},
@@ -166,7 +166,7 @@
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
"@pierre/trees@1.0.0-beta.4": "patches/@pierre%2Ftrees@1.0.0-beta.4.patch",
"@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
"effect@4.0.0-beta.98": "patches/effect@4.0.0-beta.98.patch",
"effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
"@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch"
}
}
+5 -19
View File
@@ -127,37 +127,23 @@ OpenAI Chat and OpenAI Responses are separate semantic entrypoints:
- `@opencode-ai/ai/providers/openai/responses`
- `@opencode-ai/ai/providers/openai-compatible/responses`
- `@opencode-ai/ai/providers/anthropic-compatible`
- `@opencode-ai/ai/providers/google-vertex/gemini`
- `@opencode-ai/ai/providers/google-vertex/chat`
- `@opencode-ai/ai/providers/google-vertex/responses`
- `@opencode-ai/ai/providers/google-vertex/messages`
- `@opencode-ai/ai/providers/google-vertex`
- `@opencode-ai/ai/providers/google-vertex/anthropic`
Responses HTTP versus WebSocket is a scoped `transport` setting on the OpenAI Responses entrypoint, not another entrypoint. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; compatible Responses is separate at `providers/openai-compatible/responses`. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.
Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages are separate API entrypoints. All accept `project`, `location`, and an optional `accessToken`; when no explicit token or auth override is supplied they lazily use Google Application Default Credentials. Vertex Gemini instead selects express mode when `apiKey` or `GOOGLE_VERTEX_API_KEY` is present. Vertex Chat targets MaaS models through the OpenAI-compatible Chat Completions endpoint, while Vertex Responses targets Grok models and defaults `store` to `false` as required by Vertex. `providers/google-vertex` remains the default alias for `providers/google-vertex/gemini`.
Vertex Gemini and Vertex Anthropic are separate products with separate entrypoints. Both accept `project`, `location`, and an optional `accessToken`; when no explicit token or auth override is supplied they lazily use Google Application Default Credentials. Vertex Gemini instead selects express mode when `apiKey` or `GOOGLE_VERTEX_API_KEY` is present.
Tuned Vertex Gemini deployments use model ids shaped like `endpoints/1234567890` and require OAuth or ADC; Vertex express-mode API keys support publisher models only.
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/gemini"
import { model } from "@opencode-ai/ai/providers/google-vertex"
model("gemini-3.5-flash", { project: "my-project", location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
model("deepseek-ai/deepseek-v3.2-maas", { project: "my-project", location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
model("xai/grok-4.20-reasoning", { project: "my-project", location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
import { model } from "@opencode-ai/ai/providers/google-vertex/anthropic"
model("claude-sonnet-4-6", { project: "my-project", location: "global" })
```
+22 -24
View File
@@ -1,15 +1,15 @@
# LLM Provider Parity Status
Last reviewed: 2026-07-17
Last reviewed: 2026-07-15
This file tracks the gap between the native `@opencode-ai/ai` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.
## Existing Status Sources
| File | What it tracks | Limitation |
| ----------------------------------- | ----------------------------------------------------------------------- | ------------------------------------------------------- |
| `packages/ai/DESIGN.md` | Future clean-break API proposal for `@opencode-ai/ai`. | Not a provider parity tracker. |
| `packages/ai/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
| File | What it tracks | Limitation |
| ------------------------------------ | -------------------------------------------------------------------------------- | ------------------------------------------------------- |
| `packages/ai/DESIGN.md` | Future clean-break API proposal for `@opencode-ai/ai`. | Not a provider parity tracker. |
| `packages/ai/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
## Current Implementation Snapshot
@@ -20,13 +20,11 @@ This file tracks the gap between the native `@opencode-ai/ai` package and the AI
| OpenAI Responses WebSocket | `src/protocols/openai-responses.ts`, `src/route/transport/websocket.ts` | Present as `OpenAI.responsesWebSocket(...)`. | Runner/catalog support explicitly must not downgrade WebSocket routes; broader runtime selection is not complete. |
| OpenAI-compatible Chat | `src/protocols/openai-compatible-chat.ts`, `src/providers/openai-compatible.ts` | Usable for generic Chat and several profiles: Baseten, Cerebras, DeepInfra, DeepSeek, Fireworks, Groq, TogetherAI. | Family quirks are mostly endpoint defaults, not full typed behavior. |
| OpenAI-compatible Responses | `src/protocols/openai-compatible-responses.ts`, `src/providers/openai-compatible-responses.ts` | Usable for deployments that implement the OpenAI Responses wire protocol. | No named family profiles or recorded deployment coverage yet. |
| Anthropic-compatible Messages | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic-compatible.ts` | Usable for deployments that implement the Anthropic Messages wire protocol. Named Anthropic composes this base; MiniMax M3 has recorded text and tool-loop coverage. | No named compatible family profiles yet. |
| Anthropic-compatible Messages | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic-compatible.ts` | Usable for deployments that implement the Anthropic Messages wire protocol. Named Anthropic composes this base. | No named compatible family profiles or recorded deployment coverage yet. |
| Anthropic Messages | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic.ts` | Usable. Supports tools, thinking, cache control, images, server-hosted tool events, and usage. | Provider option surface is small. Beta/header handling, metadata, and newer Messages fields need a typed parity pass. |
| Gemini Developer API | `src/protocols/gemini.ts`, `src/providers/google.ts` | Usable for Google API key flow. Supports text, images, tools, thinking signatures, and cache usage. | This is not Vertex. Typed provider options are narrow; many Gemini request fields currently require raw `http.body` overlays. |
| Vertex Gemini | `src/protocols/gemini.ts`, `src/providers/google-vertex.ts` | Usable through API-key express mode, explicit OAuth tokens, or ADC with project/location endpoint derivation, including tuned `endpoints/...` deployments. | Core runner/catalog mapping and recorded provider coverage are missing. |
| Vertex Chat | `src/protocols/openai-chat.ts`, `src/providers/google-vertex-chat.ts` | Usable for MaaS models through OpenAI-compatible Chat Completions with explicit OAuth tokens or ADC and project/location endpoint derivation. | Core runner/catalog mapping and recorded provider coverage are missing; MaaS family-specific request parity needs review. |
| Vertex Responses | `src/protocols/openai-responses.ts`, `src/providers/google-vertex-responses.ts` | Usable for Grok models through OpenAI-compatible Responses with explicit OAuth tokens or ADC, project/location endpoint derivation, and storage disabled by default. | Core runner/catalog mapping and recorded provider coverage are missing; stateful continuation is not supported by Vertex. |
| Vertex Messages | `src/protocols/anthropic-messages.ts`, `src/providers/google-vertex-messages.ts` | Usable through explicit OAuth tokens or ADC, including global, regional, and `eu`/`us` multi-region endpoints. | Core runner/catalog mapping and recorded provider coverage are missing; Vertex-specific hosted-tool parity needs review. |
| Vertex Gemini | `src/protocols/google-vertex-gemini.ts`, `src/providers/google-vertex.ts` | Usable through API-key express mode, explicit OAuth tokens, or ADC with project/location endpoint derivation, including tuned `endpoints/...` deployments. | Core runner/catalog mapping and recorded provider coverage are missing. |
| Vertex Anthropic Messages | `src/protocols/google-vertex-anthropic.ts`, `src/providers/google-vertex-anthropic.ts` | Usable through explicit OAuth tokens or ADC, including global, regional, and `eu`/`us` multi-region endpoints. | Core runner/catalog mapping and recorded provider coverage are missing; Vertex-specific hosted-tool parity needs review. |
| Bedrock Converse | `src/protocols/bedrock-converse.ts`, `src/providers/amazon-bedrock.ts` | Partial but real. Supports AWS event-stream framing, SigV4 with supplied credentials, bearer auth, tools, reasoning signatures, media, cache points, and recorded tests. | Native facade does not mirror the AI SDK plugin's default AWS credential chain/profile behavior. Runner/catalog mapping is missing. Guardrails, inference profiles, region-specific model ID fixes, and model-specific request fields need a parity pass. |
| Azure OpenAI | `src/providers/azure.ts` using OpenAI Chat/Responses protocols | Partial. Supports resource/base URL setup, API key auth, API version query, Chat, and Responses selectors. | Core runner does not map `@ai-sdk/azure` to this native facade. AAD/token auth and Azure-specific endpoint variants need review. |
| Cloudflare AI Gateway / Workers AI | `src/providers/cloudflare.ts` | Present via OpenAI-compatible Chat routes. | Useful but not part of the critical AI SDK replacement set yet. Needs per-product recorded coverage before relying on it broadly. |
@@ -56,8 +54,8 @@ Other `aisdk:` packages, including Google Vertex, Azure, and Bedrock, currently
| `@ai-sdk/google` | Gemini Developer API | Partial / usable | Add typed options for safety, response schema/modalities, cached content, grounding/search/code execution, and non-text output modes where supported. |
| `@ai-sdk/google-vertex` | Vertex Gemini namespace/facade | Partial / usable | Add runner/catalog mapping, recorded coverage, and broader provider-option parity. |
| `@ai-sdk/google-vertex/anthropic` | Anthropic Messages over Vertex namespace/facade | Partial / usable | Add runner/catalog mapping, recorded coverage, and Vertex-specific hosted-tool parity. |
| `@ai-sdk/google-vertex/maas` | Vertex Chat | Partial / usable | Add runner/catalog mapping, recorded coverage, and MaaS family-specific request parity. |
| `@ai-sdk/google-vertex/xai` | Vertex Chat / Responses | Partial / usable | Decide Chat/Responses selection for catalog models, add runner mapping and recorded coverage, and review xAI-specific request options. |
| `@ai-sdk/google-vertex/maas` | Vertex MaaS OpenAI-compatible namespace/facade | Missing | Decide native Chat/Responses selection, endpoint derivation, auth, and catalog mapping. |
| `@ai-sdk/google-vertex/xai` | Vertex xAI OpenAI-compatible namespace/facade | Missing | Decide whether this composes the generic compatible bases or the xAI facade, then add endpoint/auth mapping and tests. |
| `@ai-sdk/azure` | Azure OpenAI Chat/Responses facade | Partial | Map runner/catalog metadata to native Azure, handle resourceName/baseURL/apiVersion variants, add AAD/token auth story, and verify Chat vs Responses deployment selection. |
| `@ai-sdk/amazon-bedrock` | Bedrock Converse | Partial | Add default AWS credential chain/profile support, region/inference-profile model ID handling, provider option parity via `additionalModelRequestFields`, guardrails/performance config, and runner/catalog mapping. |
| `@ai-sdk/amazon-bedrock/mantle` | Bedrock Mantle OpenAI-compatible Chat/Responses namespace | Missing | Decide native Mantle shape, likely separate from Converse because it uses OpenAI-compatible Chat/Responses semantics over Bedrock. Add package mapping and tests. |
@@ -67,19 +65,19 @@ Other `aisdk:` packages, including Google Vertex, Azure, and Bedrock, currently
1. Runner support is narrower than the LLM package. The package has native provider facades for Google, Azure, and Bedrock, but the V2 Session runner only maps OpenAI, Anthropic, and explicit OpenAI-compatible Chat from `aisdk` catalog metadata.
2. OpenAI-compatible Responses is available as a separate package entrypoint, but the V2 runner still maps `@ai-sdk/openai-compatible` to Chat only. Catalog selection must become API-aware before Responses deployments can use it.
3. Bedrock native auth is not AI SDK parity. The AI SDK plugin uses the default AWS provider chain, profile, container credentials, and Bedrock bearer token env behavior. Native Bedrock currently expects explicit credentials or bearer auth on the facade.
4. Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages now have native package entrypoints, but the core runner does not map catalog metadata to them yet and recorded provider coverage is still missing.
4. Vertex Gemini and Vertex Anthropic now have native package entrypoints, but the core runner does not map catalog metadata to them yet and recorded provider coverage is still missing.
5. Azure is only a provider facade, not a full runtime replacement. Native Azure exists, but the catalog runner does not select it, and token auth/resource variants need review.
6. Provider option typing is uneven. OpenAI, Anthropic, Gemini, Bedrock, and OpenRouter each expose a small typed subset plus raw HTTP overlays; this is useful but not equivalent to AI SDK provider option coverage.
7. Structured output is not provider-native yet. `LLM.generateObject` still uses a synthetic tool strategy, while the future design expects native structured output where reliable and tool fallback where needed.
8. Package/namespace boundaries for the current native loading set are explicit in docs and exports. Other exported provider facades are not catalog package entrypoints until they implement the contract. Vertex xAI still needs catalog API selection; the missing native boundary is Bedrock Mantle.
8. Package/namespace boundaries for the current native loading set are explicit in docs and exports. Other exported provider facades are not catalog package entrypoints until they implement the contract. Missing native boundaries remain for Vertex MaaS, Vertex xAI, and Bedrock Mantle.
9. Recorded coverage is uneven. OpenAI, Anthropic, Gemini, Bedrock Converse, Cloudflare, OpenRouter, and several OpenAI-compatible Chat providers have cassettes. Azure, Vertex, and Mantle need first-class recorded scenarios before switching defaults.
## Native Namespace Shape
These are implementation/API slices, not separate npm packages.
| API slice | Package-like entrypoint | Purpose |
| ----------------------------- | ------------------------------------------------------- | ---------------------------------------------------------------------------- |
| API slice | Package-like entrypoint | Purpose |
| ----------------------------- | -------------------------------------------------------- | ---------------------------------------------------------------------------- |
| OpenAI Chat | `@opencode-ai/ai/providers/openai/chat` | OpenAI `/chat/completions` semantics. |
| OpenAI Responses | `@opencode-ai/ai/providers/openai/responses` | OpenAI `/responses` semantics with HTTP/WebSocket selected through settings. |
| OpenAI-compatible Chat | `@opencode-ai/ai/providers/openai-compatible` | Generic OpenAI-compatible `/chat/completions`. |
@@ -87,12 +85,12 @@ These are implementation/API slices, not separate npm packages.
| Anthropic-compatible Messages | `@opencode-ai/ai/providers/anthropic-compatible` | Generic Anthropic-compatible `/messages`. |
| Anthropic Messages | `@opencode-ai/ai/providers/anthropic` | Anthropic Messages API. |
| Gemini Developer API | `@opencode-ai/ai/providers/google` | Google AI Studio Gemini API. |
| Vertex Gemini | `@opencode-ai/ai/providers/google-vertex/gemini` | Vertex Gemini API; `providers/google-vertex` is the default alias. |
| Vertex Chat | `@opencode-ai/ai/providers/google-vertex/chat` | Vertex OpenAI-compatible Chat Completions for MaaS models. |
| Vertex Responses | `@opencode-ai/ai/providers/google-vertex/responses` | Vertex OpenAI-compatible Responses for Grok models. |
| Vertex Messages | `@opencode-ai/ai/providers/google-vertex/messages` | Vertex-hosted Anthropic Messages API. |
| Vertex Gemini | `@opencode-ai/ai/providers/google-vertex` | Vertex Gemini API. |
| Vertex Anthropic Messages | `@opencode-ai/ai/providers/google-vertex/anthropic` | Vertex-hosted Anthropic Messages API. |
| Vertex MaaS | Missing | Vertex OpenAI-compatible MaaS APIs. |
| Vertex xAI | Missing | Vertex-hosted xAI APIs. |
| Bedrock Converse | `@opencode-ai/ai/providers/amazon-bedrock` | AWS Bedrock Converse API. |
| Bedrock Mantle | Missing | AWS Bedrock Mantle OpenAI-compatible APIs. |
| Bedrock Mantle | Missing | AWS Bedrock Mantle OpenAI-compatible APIs. |
| Azure OpenAI Chat | `@opencode-ai/ai/providers/azure/chat` | Azure specialization of OpenAI Chat. |
| Azure OpenAI Responses | `@opencode-ai/ai/providers/azure/responses` | Azure specialization of OpenAI Responses. |
@@ -101,8 +99,8 @@ These are implementation/API slices, not separate npm packages.
1. Add native runner/catalog mappings for `@ai-sdk/azure`, `@ai-sdk/google`, and `@ai-sdk/amazon-bedrock` where the existing native facades are already close.
2. Add API-aware runner/catalog selection between OpenAI-compatible Chat and Responses.
3. Bring Bedrock native auth/config to AI SDK parity: region, profile, default AWS credential chain, bearer token env, endpoint override, and cross-region inference profile handling.
4. Add runner/catalog mappings and recorded scenarios for the native Vertex Gemini, Chat, Responses, and Messages entrypoints.
5. Decide Chat/Responses selection for `@ai-sdk/google-vertex/xai` catalog models.
4. Add runner/catalog mappings and recorded scenarios for the native Vertex Gemini and Vertex Anthropic entrypoints.
5. Add native Vertex MaaS and Vertex xAI entrypoints by composing the compatible bases and shared Vertex auth/endpoint setup.
6. Add Bedrock Mantle as a separate OpenAI-compatible Bedrock namespace after deciding whether it uses Chat, Responses, or both by model.
7. Expand typed provider options from the existing V1 lowerer knowledge in `packages/core/src/v1/config/provider-options.ts` before adding more raw overlay examples.
8. Add recorded provider tests for Azure, Vertex Gemini, Vertex Chat, Vertex Responses, Vertex Messages, Bedrock credential-chain behavior, and Mantle before making native runtime the default for those packages.
8. Add recorded provider tests for Azure, Vertex Gemini, Vertex Anthropic, Bedrock credential-chain behavior, and Mantle before making native runtime the default for those packages.
+3 -15
View File
@@ -360,29 +360,17 @@ import { model } from "@opencode-ai/ai/providers/openai/responses"
model("gpt-4o", { apiKey, transport: "websocket" })
```
Vertex keeps Gemini, Chat, Responses, and Messages as separate package-like entrypoints,
Vertex keeps Gemini and Anthropic Messages as separate package-like entrypoints,
while sharing project/location resolution and ADC authentication internally:
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/gemini"
import { model } from "@opencode-ai/ai/providers/google-vertex"
model("gemini-3.5-flash", { project, location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
model("deepseek-ai/deepseek-v3.2-maas", { project, location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
model("xai/grok-4.20-reasoning", { project, location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
import { model } from "@opencode-ai/ai/providers/google-vertex/anthropic"
model("claude-sonnet-4-6", { project, location: "global" })
```
-12
View File
@@ -161,18 +161,6 @@ const PROVIDERS: ReadonlyArray<Provider> = [
vars: [{ name: "TOGETHER_AI_API_KEY" }],
validate: (env) => validateBearer("https://api.together.xyz/v1/models", Redacted.make(env.TOGETHER_AI_API_KEY)),
},
{
id: "minimax",
label: "MiniMax",
tier: "compatible",
note: "Anthropic-compatible Messages text/tool recorded tests",
vars: [{ name: "MINIMAX_API_KEY" }],
validate: (env) =>
HttpClientRequest.get("https://api.minimax.io/anthropic/v1/models").pipe(
HttpClientRequest.setHeader("x-api-key", Redacted.value(Redacted.make(env.MINIMAX_API_KEY))),
executeRequest,
),
},
{
id: "mistral",
label: "Mistral",
@@ -703,14 +703,7 @@ const onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepRes
providerExecuted: block.type === "server_tool_use",
}),
},
[
...events,
LLMEvent.toolInputStart({
id: block.id ?? String(event.index),
name: block.name ?? "",
providerExecuted: block.type === "server_tool_use" ? true : undefined,
}),
],
[...events, LLMEvent.toolInputStart({ id: block.id ?? String(event.index), name: block.name ?? "" })],
]
}
@@ -561,9 +561,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
return [
{
...state,
hasToolCalls:
resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||
state.hasToolCalls,
hasToolCalls: resultEvents.some(LLMEvent.is.toolCall) ? true : state.hasToolCalls,
lifecycle,
tools: result.tools,
reasoningSignatures: Object.fromEntries(
@@ -0,0 +1,42 @@
import { Effect, Schema, Struct } from "effect"
import { AnthropicMessages } from "./anthropic-messages"
import { Auth } from "../route/auth"
import { Route } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { Protocol } from "../route/protocol"
const VERSION = "vertex-2023-10-16" as const
export const GoogleVertexAnthropicBody = Schema.Struct({
...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, ["model"]),
anthropic_version: Schema.Literal(VERSION),
})
export type GoogleVertexAnthropicBody = Schema.Schema.Type<typeof GoogleVertexAnthropicBody>
export const protocol = Protocol.make({
id: "google-vertex-anthropic",
body: {
schema: GoogleVertexAnthropicBody,
from: (request) =>
AnthropicMessages.protocol.body.from(request).pipe(
Effect.map((body) => ({
...Struct.omit(body, ["model"]),
anthropic_version: VERSION,
})),
),
},
stream: AnthropicMessages.protocol.stream,
})
export const route = Route.make({
id: "google-vertex-anthropic",
provider: "google-vertex-anthropic",
providerMetadataKey: "anthropic",
protocol,
endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),
auth: Auth.none,
framing: Framing.sse,
})
export * as GoogleVertexAnthropic from "./google-vertex-anthropic"
@@ -0,0 +1,20 @@
import { Gemini } from "./gemini"
import { Auth } from "../route/auth"
import { Route } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
export const route = Route.make({
id: "google-vertex-gemini",
provider: "google-vertex",
providerMetadataKey: "google",
protocol: Gemini.protocol,
endpoint: Endpoint.path(({ request }) => {
const model = String(request.model.id)
return `/${model.startsWith("endpoints/") ? model : `models/${model}`}:streamGenerateContent?alt=sse`
}),
auth: Auth.none,
framing: Framing.sse,
})
export * as GoogleVertexGemini from "./google-vertex-gemini"
+2
View File
@@ -1,4 +1,6 @@
export * as AnthropicMessages from "./anthropic-messages"
export * as GoogleVertexAnthropic from "./google-vertex-anthropic"
export * as GoogleVertexGemini from "./google-vertex-gemini"
export * as BedrockConverse from "./bedrock-converse"
export * as Gemini from "./gemini"
export * as OpenAIChat from "./openai-chat"
+7 -40
View File
@@ -75,8 +75,6 @@ const OpenAIChatMessage = Schema.Union([
content: Schema.NullOr(Schema.String),
tool_calls: optionalArray(OpenAIChatAssistantToolCall),
reasoning_content: Schema.optional(Schema.String),
reasoning: Schema.optional(Schema.String),
reasoning_text: Schema.optional(Schema.String),
}),
Schema.Struct({ role: Schema.Literal("tool"), tool_call_id: Schema.String, content: Schema.String }),
]).pipe(Schema.toTaggedUnion("role"))
@@ -147,8 +145,6 @@ type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta
const OpenAIChatDelta = Schema.Struct({
content: optionalNull(Schema.String),
reasoning_content: optionalNull(Schema.String),
reasoning: optionalNull(Schema.String),
reasoning_text: optionalNull(Schema.String),
tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),
})
@@ -170,7 +166,6 @@ export interface ParserState {
readonly usage?: Usage
readonly finishReason?: FinishReason
readonly lifecycle: Lifecycle.State
readonly reasoningField?: "reasoning" | "reasoning_content" | "reasoning_text"
}
// =============================================================================
@@ -213,12 +208,6 @@ const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart
const openAICompatibleReasoningContent = (native: unknown) =>
isRecord(native) && typeof native.reasoning_content === "string" ? native.reasoning_content : undefined
const reasoningField = (part: ReasoningPart) => {
const field = part.providerMetadata?.openai?.reasoningField
if (field === "reasoning" || field === "reasoning_content" || field === "reasoning_text") return field
return "reasoning_content"
}
const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (message: OpenAIChatRequestMessage) {
const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
for (const part of message.content) {
@@ -259,20 +248,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
continue
}
}
const text = reasoning.map((part) => part.text).join("")
const field = reasoning[0] ? reasoningField(reasoning[0]) : "reasoning_content"
return {
role: "assistant" as const,
content: content.length === 0 ? null : ProviderShared.joinText(content),
tool_calls: toolCalls.length === 0 ? undefined : toolCalls,
reasoning_content:
reasoning.length === 0
? openAICompatibleReasoningContent(message.native?.openaiCompatible)
: field === "reasoning_content"
? text
: undefined,
reasoning: reasoning.length > 0 && field === "reasoning" ? text : undefined,
reasoning_text: reasoning.length > 0 && field === "reasoning_text" ? text : undefined,
reasoning.length > 0
? reasoning.map((part) => part.text).join("")
: openAICompatibleReasoningContent(message.native?.openaiCompatible),
}
})
@@ -417,12 +400,6 @@ const mapUsage = (usage: OpenAIChatEvent["usage"]): Usage | undefined => {
})
}
const reasoningDelta = (delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined) => {
if (delta?.reasoning_content) return { field: "reasoning_content", text: delta.reasoning_content } as const
if (delta?.reasoning) return { field: "reasoning", text: delta.reasoning } as const
if (delta?.reasoning_text) return { field: "reasoning_text", text: delta.reasoning_text } as const
}
const step = (state: ParserState, event: OpenAIChatEvent) =>
Effect.gen(function* () {
const events: LLMEvent[] = []
@@ -435,12 +412,8 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
let lifecycle = state.lifecycle
const reasoning = reasoningDelta(delta)
const reasoningField = state.reasoningField ?? reasoning?.field
if (reasoning)
lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", reasoning.text, {
openai: { reasoningField: reasoningField ?? reasoning.field },
})
if (delta?.reasoning_content)
lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", delta.reasoning_content)
if (delta?.content) {
lifecycle = Lifecycle.reasoningEnd(lifecycle, events, "reasoning-0")
@@ -464,7 +437,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
}
// Finalize accumulated tool inputs eagerly when finish_reason arrives so
// valid calls and malformed local calls settle independently.
// JSON parse failures fail the stream at the boundary rather than at halt.
const finished =
finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0
? yield* ToolStream.finishAll(ADAPTER, tools)
@@ -477,7 +450,6 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
usage,
finishReason,
lifecycle,
reasoningField,
},
events,
] as const
@@ -510,12 +482,7 @@ export const protocol = Protocol.make({
},
stream: {
event: Protocol.jsonEvent(OpenAIChatEvent),
initial: () => ({
tools: ToolStream.empty<number>(),
toolCallEvents: [],
lifecycle: Lifecycle.initial(),
reasoningField: undefined,
}),
initial: () => ({ tools: ToolStream.empty<number>(), toolCallEvents: [], lifecycle: Lifecycle.initial() }),
step,
onHalt: finishEvents,
},
@@ -835,9 +835,7 @@ const onOutputItemDone = Effect.fn("OpenAIResponses.onOutputItemDone")(function*
{
...state,
lifecycle,
hasFunctionCall:
resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||
state.hasFunctionCall,
hasFunctionCall: resultEvents.some(LLMEvent.is.toolCall) ? true : state.hasFunctionCall,
tools: result.tools,
},
events,
+30 -38
View File
@@ -1,5 +1,5 @@
import { Effect } from "effect"
import { LLMError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from "../../schema"
import { LLMError, LLMEvent, type ProviderMetadata, type ToolCall } from "../../schema"
import { eventError, parseToolInput, type ToolAccumulator } from "../shared"
type StreamKey = string | number
@@ -53,7 +53,6 @@ const inputStart = (tool: PendingTool) =>
LLMEvent.toolInputStart({
id: tool.id,
name: tool.name,
providerExecuted: tool.providerExecuted ? true : undefined,
providerMetadata: tool.providerMetadata,
})
@@ -64,36 +63,19 @@ const inputDelta = (tool: PendingTool, text: string) =>
text,
})
const toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {
const raw = inputOverride ?? tool.input
return parseToolInput(route, tool.name, raw).pipe(
Effect.map((input): ToolCall | ToolInputError =>
LLMEvent.toolCall({
id: tool.id,
name: tool.name,
input,
providerExecuted: tool.providerExecuted ? true : undefined,
providerMetadata: tool.providerMetadata,
}),
),
Effect.catch((error) =>
tool.providerExecuted
? Effect.fail(error)
: Effect.succeed(
LLMEvent.toolInputError({
id: tool.id,
name: tool.name,
raw,
}),
),
const toolCall = (route: string, tool: PendingTool, inputOverride?: string) =>
parseToolInput(route, tool.name, inputOverride ?? tool.input).pipe(
Effect.map(
(input): ToolCall =>
LLMEvent.toolCall({
id: tool.id,
name: tool.name,
input,
providerExecuted: tool.providerExecuted ? true : undefined,
providerMetadata: tool.providerMetadata,
}),
),
)
}
const finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>
event.type === "tool-input-error"
? [event]
: [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]
/** Store the updated tool and produce the optional public delta event. */
const appendTool = <K extends StreamKey>(
@@ -176,9 +158,8 @@ export const appendExisting = <K extends StreamKey>(
/**
* Finalize one pending tool call: parse the accumulated raw JSON, remove it
* from state, and return either a call or a non-executable local input error.
* Missing keys are a no-op because some providers emit stop events for
* non-tool content blocks.
* from state, and return the optional public `tool-call` event. Missing keys are
* a no-op because some providers emit stop events for non-tool content blocks.
*/
export const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>
Effect.gen(function* () {
@@ -186,7 +167,10 @@ export const finish = <K extends StreamKey>(route: string, tools: State<K>, key:
if (!tool) return { tools }
return {
tools: withoutTool(tools, key),
events: finishEvents(tool, yield* toolCall(route, tool)),
events: [
LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
yield* toolCall(route, tool),
],
}
})
@@ -201,14 +185,17 @@ export const finishWithInput = <K extends StreamKey>(route: string, tools: State
if (!tool) return { tools }
return {
tools: withoutTool(tools, key),
events: finishEvents(tool, yield* toolCall(route, tool, input)),
events: [
LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
yield* toolCall(route, tool, input),
],
}
})
/**
* Finalize every pending tool call at once. OpenAI Chat has this shape: it does
* not emit per-tool stop events, so all accumulated calls finish independently
* when the choice receives a terminal `finish_reason`.
* not emit per-tool stop events, so all accumulated calls finish when the choice
* receives a terminal `finish_reason`.
*/
export const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>
Effect.gen(function* () {
@@ -218,7 +205,12 @@ export const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =
return {
tools: empty<K>(),
events: yield* Effect.forEach(pending, (tool) =>
toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),
toolCall(route, tool).pipe(
Effect.map((call) => [
LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
call,
]),
),
).pipe(Effect.map((events) => events.flat())),
}
})
@@ -1,10 +1,10 @@
import type { ProviderPackage } from "../provider-package"
import { OpenAICompatibleResponses } from "../protocols/openai-compatible-responses"
import { GoogleVertexAnthropic } from "../protocols/google-vertex-anthropic"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export const id = ProviderID.make("google-vertex")
export const id = ProviderID.make("google-vertex-anthropic")
export type Config = RouteDefaultsInput &
GoogleVertexShared.OAuthOptions & {
@@ -22,16 +22,11 @@ export interface Settings extends ProviderPackage.Settings {
readonly providerOptions?: ProviderOptions
}
const route = OpenAICompatibleResponses.route.with({
id: "google-vertex-responses",
provider: id,
})
export const routes = [route]
export const routes = [GoogleVertexAnthropic.route]
const configuredRoute = (input: Config) => {
if ("apiKey" in input && input.apiKey !== undefined)
throw new Error("Google Vertex Responses does not support API keys")
throw new Error("Google Vertex Anthropic does not support API keys")
const {
accessToken: _accessToken,
auth: _auth,
@@ -42,12 +37,12 @@ const configuredRoute = (input: Config) => {
} = input
const location = GoogleVertexShared.location(inputLocation, "global")
const project = GoogleVertexShared.project(inputProject)
return route.with({
return GoogleVertexAnthropic.route.with({
...rest,
endpoint: {
baseURL:
baseURL ??
`https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,
`https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,
},
auth: GoogleVertexShared.oauth(input, project),
})
@@ -68,7 +63,7 @@ export const provider = {
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined) throw new Error("Google Vertex Responses does not support API keys")
if (settings.apiKey !== undefined) throw new Error("Google Vertex Anthropic does not support API keys")
return configure({
accessToken: settings.accessToken,
baseURL: settings.baseURL,
@@ -1,81 +0,0 @@
import type { ProviderPackage } from "../provider-package"
import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export const id = ProviderID.make("google-vertex")
export type Config = RouteDefaultsInput &
GoogleVertexShared.OAuthOptions & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
}
export interface Settings extends ProviderPackage.Settings {
readonly accessToken?: string
readonly apiKey?: never
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: ProviderOptions
}
const route = OpenAICompatibleChat.route.with({
id: "google-vertex-chat",
provider: id,
})
export const routes = [route]
const configuredRoute = (input: Config) => {
if ("apiKey" in input && input.apiKey !== undefined) throw new Error("Google Vertex Chat does not support API keys")
const {
accessToken: _accessToken,
auth: _auth,
baseURL,
location: inputLocation,
project: inputProject,
...rest
} = input
const location = GoogleVertexShared.location(inputLocation, "global")
const project = GoogleVertexShared.project(inputProject)
return route.with({
...rest,
endpoint: {
baseURL:
baseURL ??
`https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,
},
auth: GoogleVertexShared.oauth(input, project),
})
}
export const configure = (input: Config = {}) => {
const route = configuredRoute(input)
return {
id,
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined) throw new Error("Google Vertex Chat does not support API keys")
return configure({
accessToken: settings.accessToken,
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
location: settings.location,
project: settings.project,
providerOptions: settings.providerOptions,
}).model(modelID)
}
@@ -1,111 +0,0 @@
import { Effect, Schema, Struct } from "effect"
import type { ProviderPackage } from "../provider-package"
import { AnthropicMessages } from "../protocols/anthropic-messages"
import { Auth } from "../route/auth"
import { Route, type RouteDefaultsInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { Protocol } from "../route/protocol"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
const VERSION = "vertex-2023-10-16" as const
// models.dev uses this provider id even though the API contract is Anthropic Messages.
export const id = ProviderID.make("google-vertex-anthropic")
export type Config = RouteDefaultsInput &
GoogleVertexShared.OAuthOptions & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
}
export interface Settings extends ProviderPackage.Settings {
readonly accessToken?: string
readonly apiKey?: never
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: ProviderOptions
}
const route = Route.make({
id: "google-vertex-messages",
provider: id,
providerMetadataKey: "anthropic",
protocol: Protocol.make({
id: AnthropicMessages.protocol.id,
body: {
schema: Schema.Struct({
...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, ["model"]),
anthropic_version: Schema.Literal(VERSION),
}),
from: (request) =>
AnthropicMessages.protocol.body.from(request).pipe(
Effect.map((body) => ({
...Struct.omit(body, ["model"]),
anthropic_version: VERSION,
})),
),
},
stream: AnthropicMessages.protocol.stream,
}),
endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),
auth: Auth.none,
framing: Framing.sse,
})
export const routes = [route]
const configuredRoute = (input: Config) => {
if ("apiKey" in input && input.apiKey !== undefined)
throw new Error("Google Vertex Messages does not support API keys")
const {
accessToken: _accessToken,
auth: _auth,
baseURL,
location: inputLocation,
project: inputProject,
...rest
} = input
const location = GoogleVertexShared.location(inputLocation, "global")
const project = GoogleVertexShared.project(inputProject)
return route.with({
...rest,
endpoint: {
baseURL:
baseURL ??
`https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,
},
auth: GoogleVertexShared.oauth(input, project),
})
}
export const configure = (input: Config = {}) => {
const route = configuredRoute(input)
return {
id,
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined) throw new Error("Google Vertex Messages does not support API keys")
return configure({
accessToken: settings.accessToken,
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
location: settings.location,
project: settings.project,
providerOptions: settings.providerOptions,
}).model(modelID)
}
+4 -19
View File
@@ -1,9 +1,7 @@
import type { ProviderPackage } from "../provider-package"
import { Gemini } from "../protocols/gemini"
import { GoogleVertexGemini } from "../protocols/google-vertex-gemini"
import { Auth } from "../route/auth"
import { Route, type RouteDefaultsInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
@@ -27,20 +25,7 @@ export type Settings = ProviderPackage.Settings &
readonly providerOptions?: ProviderOptions
}
const route = Route.make({
id: "google-vertex-gemini",
provider: id,
providerMetadataKey: "google",
protocol: Gemini.protocol,
endpoint: Endpoint.path(({ request }) => {
const model = String(request.model.id)
return `/${model.startsWith("endpoints/") ? model : `models/${model}`}:streamGenerateContent?alt=sse`
}),
auth: Auth.none,
framing: Framing.sse,
})
export const routes = [route]
export const routes = [GoogleVertexGemini.route]
const configuredRoute = (input: Config, modelID: string | ModelID) => {
const {
@@ -63,7 +48,7 @@ const configuredRoute = (input: Config, modelID: string | ModelID) => {
(apiKey
? "https://aiplatform.googleapis.com/v1/publishers/google"
: `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? "" : "/publishers/google"}`)
return route.with({
return GoogleVertexGemini.route.with({
...rest,
endpoint: { baseURL: endpoint },
auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header("x-goog-api-key", apiKey),
@@ -0,0 +1,2 @@
export { model } from "../google-vertex-anthropic"
export type { Settings } from "../google-vertex-anthropic"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex-chat"
export type { Settings } from "../google-vertex-chat"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex"
export type { Settings } from "../google-vertex"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex-messages"
export type { Settings } from "../google-vertex-messages"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex-responses"
export type { Settings } from "../google-vertex-responses"
+1 -3
View File
@@ -7,9 +7,7 @@ export { CloudflareAIGateway, CloudflareWorkersAI } from "./cloudflare"
export * as GitHubCopilot from "./github-copilot"
export * as Google from "./google"
export * as GoogleVertex from "./google-vertex"
export * as GoogleVertexChat from "./google-vertex-chat"
export * as GoogleVertexMessages from "./google-vertex-messages"
export * as GoogleVertexResponses from "./google-vertex-responses"
export * as GoogleVertexAnthropic from "./google-vertex-anthropic"
export * as OpenAI from "./openai"
export * as OpenAICompatible from "./openai-compatible"
export * as OpenAICompatibleResponses from "./openai-compatible-responses"
-18
View File
@@ -129,7 +129,6 @@ export const ToolInputStart = Schema.Struct({
type: Schema.tag("tool-input-start"),
id: ToolCallID,
name: Schema.String,
providerExecuted: Schema.optional(Schema.Boolean),
providerMetadata: Schema.optional(ProviderMetadata),
}).annotate({ identifier: "LLM.Event.ToolInputStart" })
export type ToolInputStart = Schema.Schema.Type<typeof ToolInputStart>
@@ -150,15 +149,6 @@ export const ToolInputEnd = Schema.Struct({
}).annotate({ identifier: "LLM.Event.ToolInputEnd" })
export type ToolInputEnd = Schema.Schema.Type<typeof ToolInputEnd>
/** A local tool call whose final input could not be decoded. */
export const ToolInputError = Schema.Struct({
type: Schema.tag("tool-input-error"),
id: ToolCallID,
name: Schema.String,
raw: Schema.String,
}).annotate({ identifier: "LLM.Event.ToolInputError" })
export type ToolInputError = Schema.Schema.Type<typeof ToolInputError>
export const ToolCall = Schema.Struct({
type: Schema.tag("tool-call"),
id: ToolCallID,
@@ -226,7 +216,6 @@ const llmEventTagged = Schema.Union([
ToolInputStart,
ToolInputDelta,
ToolInputEnd,
ToolInputError,
ToolCall,
ToolResult,
ToolError,
@@ -264,8 +253,6 @@ export const LLMEvent = Object.assign(llmEventTagged, {
toolInputDelta: (input: WithID<ToolInputDelta, ToolCallID>) =>
ToolInputDelta.make({ ...input, id: toolCallID(input.id) }),
toolInputEnd: (input: WithID<ToolInputEnd, ToolCallID>) => ToolInputEnd.make({ ...input, id: toolCallID(input.id) }),
toolInputError: (input: WithID<ToolInputError, ToolCallID>) =>
ToolInputError.make({ ...input, id: toolCallID(input.id) }),
toolCall: (input: WithID<ToolCall, ToolCallID>) => ToolCall.make({ ...input, id: toolCallID(input.id) }),
toolResult: (input: WithID<ToolResult, ToolCallID>) =>
ToolResult.make({
@@ -296,7 +283,6 @@ export const LLMEvent = Object.assign(llmEventTagged, {
toolInputStart: llmEventTagged.guards["tool-input-start"],
toolInputDelta: llmEventTagged.guards["tool-input-delta"],
toolInputEnd: llmEventTagged.guards["tool-input-end"],
toolInputError: llmEventTagged.guards["tool-input-error"],
toolCall: llmEventTagged.guards["tool-call"],
toolResult: llmEventTagged.guards["tool-result"],
toolError: llmEventTagged.guards["tool-error"],
@@ -562,10 +548,6 @@ const reduceResponseState = (state: ResponseState, event: LLMEvent): ResponseSta
return reduceToolInputDelta(next, event)
case "tool-input-end":
return reduceToolInputEnd(next, event)
case "tool-input-error": {
const { [event.id]: _finished, ...toolInputs } = next.toolInputs
return { ...next, toolInputs }
}
case "tool-call":
return reduceToolCall(next, event)
case "tool-result":
+9 -47
View File
@@ -11,9 +11,7 @@ import * as Cloudflare from "../src/providers/cloudflare"
import * as GitHubCopilot from "../src/providers/github-copilot"
import * as Google from "../src/providers/google"
import * as GoogleVertex from "../src/providers/google-vertex"
import * as GoogleVertexChat from "../src/providers/google-vertex-chat"
import * as GoogleVertexMessages from "../src/providers/google-vertex-messages"
import * as GoogleVertexResponses from "../src/providers/google-vertex-responses"
import * as GoogleVertexAnthropic from "../src/providers/google-vertex-anthropic"
import * as OpenAI from "../src/providers/openai"
import * as OpenAICompatible from "../src/providers/openai-compatible"
import * as OpenRouter from "../src/providers/openrouter"
@@ -173,56 +171,20 @@ GoogleVertex.configure({ accessToken: "vertex-token", apiKey: "vertex-key", proj
// @ts-expect-error Vertex Gemini package settings accept only one auth source.
GoogleVertex.model("gemini-3.5-flash", { accessToken: "vertex-token", apiKey: "vertex-key", project: "project" })
GoogleVertexChat.configure({ accessToken: "vertex-token", project: "project" }).model("deepseek-ai/deepseek-v3.2-maas")
GoogleVertexChat.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
"deepseek-ai/deepseek-v3.2-maas",
)
// @ts-expect-error Vertex Chat package settings do not accept API keys.
GoogleVertexChat.model("deepseek-ai/deepseek-v3.2-maas", { apiKey: "vertex-key", project: "project" })
GoogleVertexChat.configure({ accessToken: "vertex-token", project: "project" }).model(
"deepseek-ai/deepseek-v3.2-maas",
// @ts-expect-error Vertex Chat model selectors only accept model ids.
{},
)
GoogleVertexChat.configure({
accessToken: "vertex-token",
// @ts-expect-error Vertex Chat config accepts only one auth source.
auth: RuntimeAuth.bearer("vertex-token"),
project: "project",
})
GoogleVertexResponses.configure({ accessToken: "vertex-token", project: "project" }).model("xai/grok-4.20-reasoning")
GoogleVertexResponses.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
"xai/grok-4.20-reasoning",
)
// @ts-expect-error Vertex Responses package settings do not accept API keys.
GoogleVertexResponses.model("xai/grok-4.20-reasoning", { apiKey: "vertex-key", project: "project" })
GoogleVertexResponses.configure({ accessToken: "vertex-token", project: "project" }).model(
"xai/grok-4.20-reasoning",
// @ts-expect-error Vertex Responses model selectors only accept model ids.
{},
)
GoogleVertexResponses.configure({
accessToken: "vertex-token",
// @ts-expect-error Vertex Responses config accepts only one auth source.
auth: RuntimeAuth.bearer("vertex-token"),
project: "project",
})
GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).model("claude-sonnet-4-6")
// @ts-expect-error Vertex Messages package settings do not accept API keys.
GoogleVertexMessages.model("claude-sonnet-4-6", { apiKey: "vertex-key", project: "project" })
GoogleVertexMessages.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
GoogleVertexAnthropic.configure({ accessToken: "vertex-token", project: "project" }).model("claude-sonnet-4-6")
// @ts-expect-error Vertex Anthropic package settings do not accept API keys.
GoogleVertexAnthropic.model("claude-sonnet-4-6", { apiKey: "vertex-key", project: "project" })
GoogleVertexAnthropic.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
"claude-sonnet-4-6",
)
GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).model(
GoogleVertexAnthropic.configure({ accessToken: "vertex-token", project: "project" }).model(
"claude-sonnet-4-6",
// @ts-expect-error Vertex Messages model selectors only accept model ids.
// @ts-expect-error Vertex Anthropic model selectors only accept model ids.
{},
)
GoogleVertexMessages.configure({
GoogleVertexAnthropic.configure({
accessToken: "vertex-token",
// @ts-expect-error Vertex Messages config accepts only one auth source.
// @ts-expect-error Vertex Anthropic config accepts only one auth source.
auth: RuntimeAuth.bearer("vertex-token"),
project: "project",
})
@@ -1,40 +0,0 @@
{
"version": 1,
"metadata": {
"provider": "minimax",
"protocol": "anthropic-messages",
"route": "anthropic-messages",
"transport": "http",
"model": "MiniMax-M3",
"tags": [
"prefix:anthropic-compatible-messages",
"provider:minimax",
"protocol:anthropic-messages",
"text",
"golden"
],
"name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-text",
"recordedAt": "2026-07-18T03:42:22.893Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"1a0b363d0882af316faebcec4d4855a8\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":53,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"!\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":53,\"output_tokens\":2,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
}
]
}
@@ -1,41 +0,0 @@
{
"version": 1,
"metadata": {
"provider": "minimax",
"protocol": "anthropic-messages",
"route": "anthropic-messages",
"transport": "http",
"model": "MiniMax-M3",
"tags": [
"prefix:anthropic-compatible-messages",
"provider:minimax",
"protocol:anthropic-messages",
"tool",
"tool-call",
"golden"
],
"name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-tool-call",
"recordedAt": "2026-07-18T03:42:23.876Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Call tools exactly as requested.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Call get_weather with city exactly Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6731ecc323233459d1792df9a733dd98\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":404,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_function_vkxtif4epmvm_1\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":290,\"output_tokens\":27,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
}
]
}
@@ -1,60 +0,0 @@
{
"version": 1,
"metadata": {
"provider": "minimax",
"protocol": "anthropic-messages",
"route": "anthropic-messages",
"transport": "http",
"model": "MiniMax-M3",
"tags": [
"prefix:anthropic-compatible-messages",
"provider:minimax",
"protocol:anthropic-messages",
"tool",
"tool-loop",
"golden"
],
"name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-tool-loop",
"recordedAt": "2026-07-18T03:42:25.248Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"3807fa12f9ecb9357df511e099da6da0\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":417,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_function_yr64rwmre4gr_1\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":303,\"output_tokens\":27,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
},
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_function_yr64rwmre4gr_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_function_yr64rwmre4gr_1\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"92f8a1e86f29946eb2699d40a088fc08\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":41,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":430,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" is sunny.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":41,\"output_tokens\":4,\"cache_read_input_tokens\":430,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
}
]
}
@@ -1,34 +0,0 @@
{
"version": 1,
"metadata": {
"model": "anthropic/claude-sonnet-4.6",
"tags": [
"prefix:openai-compatible-chat",
"provider:openrouter",
"protocol:openai-chat",
"reasoning"
],
"name": "openrouter-reasoning",
"recordedAt": "2026-07-18T11:28:39.267Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://openrouter.ai/api/v1/chat/completions",
"headers": {
"content-type": "application/json"
},
"body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Think through the arithmetic, then reply with only the final integer.\"},{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219?\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":1536,\"temperature\":0,\"reasoning\":{\"max_tokens\":1024}}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream"
},
"body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
}
}
]
}
File diff suppressed because one or more lines are too long
+10 -67
View File
@@ -17,16 +17,12 @@ describe("provider package entrypoints", () => {
import("@opencode-ai/ai/providers/azure/chat"),
import("@opencode-ai/ai/providers/google"),
import("@opencode-ai/ai/providers/google-vertex"),
import("@opencode-ai/ai/providers/google-vertex/gemini"),
import("@opencode-ai/ai/providers/google-vertex/chat"),
import("@opencode-ai/ai/providers/google-vertex/responses"),
import("@opencode-ai/ai/providers/google-vertex/messages"),
import("@opencode-ai/ai/providers/google-vertex/anthropic"),
])
for (const module of modules) expect(module.model).toBeFunction()
expect(modules[0].model).toBe(modules[1].model)
expect(modules[8].model).toBe(modules[9].model)
expect(modules[12].model).toBe(modules[13].model)
})
test("maps package settings onto the executable model", () => {
@@ -183,35 +179,20 @@ describe("provider package entrypoints", () => {
test("selects Vertex entrypoints with the same model contract", async () => {
const GoogleVertex = await import("@opencode-ai/ai/providers/google-vertex")
const GoogleVertexGemini = await import("@opencode-ai/ai/providers/google-vertex/gemini")
const GoogleVertexChat = await import("@opencode-ai/ai/providers/google-vertex/chat")
const GoogleVertexResponses = await import("@opencode-ai/ai/providers/google-vertex/responses")
const GoogleVertexMessages = await import("@opencode-ai/ai/providers/google-vertex/messages")
const GoogleVertexAnthropic = await import("@opencode-ai/ai/providers/google-vertex/anthropic")
const gemini = GoogleVertex.model("gemini-3.5-flash", {
apiKey: "fixture",
headers: { "x-application": "opencode" },
body: { safetySettings: [] },
limits: { context: 1_000_000, output: 65_536 },
})
const messages = GoogleVertexMessages.model("claude-sonnet-4-6", {
accessToken: "fixture",
location: "global",
project: "vertex-project",
})
const chat = GoogleVertexChat.model("deepseek-ai/deepseek-v3.2-maas", {
accessToken: "fixture",
location: "global",
project: "vertex-project",
})
const responses = GoogleVertexResponses.model("xai/grok-4.20-reasoning", {
const anthropic = GoogleVertexAnthropic.model("claude-sonnet-4-6", {
accessToken: "fixture",
location: "global",
project: "vertex-project",
})
expect(GoogleVertexGemini.model).toBe(GoogleVertex.model)
expect(gemini.route.id).toBe("google-vertex-gemini")
expect(gemini.route.protocol).toBe("gemini")
expect(gemini.route.endpoint.baseURL).toBe("https://aiplatform.googleapis.com/v1/publishers/google")
expect(gemini.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(gemini.route.defaults.http?.body).toEqual({ safetySettings: [] })
@@ -223,31 +204,15 @@ describe("provider package entrypoints", () => {
project: "vertex-project",
}).route.endpoint.baseURL,
).toBe("https://aiplatform.eu.rep.googleapis.com/v1beta1/projects/vertex-project/locations/eu/publishers/google")
expect(messages.route.id).toBe("google-vertex-messages")
expect(messages.route.protocol).toBe("anthropic-messages")
expect(messages.route.endpoint.baseURL).toBe(
expect(anthropic.route.id).toBe("google-vertex-anthropic")
expect(anthropic.route.endpoint.baseURL).toBe(
"https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/publishers/anthropic/models",
)
expect(chat.route.id).toBe("google-vertex-chat")
expect(chat.route.protocol).toBe("openai-chat")
expect(chat.route.endpoint).toMatchObject({
baseURL: "https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi",
path: "/chat/completions",
})
expect(responses.route.id).toBe("google-vertex-responses")
expect(responses.route.protocol).toBe("openai-responses")
expect(responses.route.endpoint).toMatchObject({
baseURL: "https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi",
path: "/responses",
})
expect(responses.route.defaults.providerOptions).toEqual({ openai: { store: false } })
})
test("rejects conflicting Vertex auth settings at runtime", async () => {
const GoogleVertex = await import("@opencode-ai/ai/providers/google-vertex")
const GoogleVertexChat = await import("@opencode-ai/ai/providers/google-vertex/chat")
const GoogleVertexMessages = await import("@opencode-ai/ai/providers/google-vertex/messages")
const GoogleVertexResponses = await import("@opencode-ai/ai/providers/google-vertex/responses")
const GoogleVertexAnthropic = await import("@opencode-ai/ai/providers/google-vertex/anthropic")
const Providers = await import("@opencode-ai/ai/providers")
expect(() =>
Reflect.apply(GoogleVertex.model, undefined, [
@@ -260,37 +225,15 @@ describe("provider package entrypoints", () => {
])
expect(() => configured.model("gemini-3.5-flash")).toThrow("Google Vertex accessToken cannot be combined with auth")
expect(() =>
Reflect.apply(GoogleVertexMessages.model, undefined, [
Reflect.apply(GoogleVertexAnthropic.model, undefined, [
"claude-sonnet-4-6",
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Messages does not support API keys")
).toThrow("Google Vertex Anthropic does not support API keys")
expect(() =>
Reflect.apply(Providers.GoogleVertexMessages.configure, undefined, [
Reflect.apply(Providers.GoogleVertexAnthropic.configure, undefined, [
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Messages does not support API keys")
expect(() =>
Reflect.apply(GoogleVertexChat.model, undefined, [
"deepseek-ai/deepseek-v3.2-maas",
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Chat does not support API keys")
expect(() =>
Reflect.apply(Providers.GoogleVertexChat.configure, undefined, [
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Chat does not support API keys")
expect(() =>
Reflect.apply(GoogleVertexResponses.model, undefined, [
"xai/grok-4.20-reasoning",
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Responses does not support API keys")
expect(() =>
Reflect.apply(Providers.GoogleVertexResponses.configure, undefined, [
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Responses does not support API keys")
).toThrow("Google Vertex Anthropic does not support API keys")
})
})
@@ -484,30 +484,6 @@ describe("Anthropic Messages route", () => {
}),
)
it.effect("keeps malformed server tool input terminal", () =>
Effect.gen(function* () {
const body = sseEvents(
{ type: "message_start", message: { usage: { input_tokens: 5 } } },
{
type: "content_block_start",
index: 0,
content_block: { type: "server_tool_use", id: "call_1", name: "web_search" },
},
{
type: "content_block_delta",
index: 0,
delta: { type: "input_json_delta", partial_json: '{"query":"partial' },
},
{ type: "content_block_stop", index: 0 },
)
const error = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)), Effect.flip)
expect(error).toBeInstanceOf(LLMError)
expect(error.message).toContain("Invalid JSON input for anthropic-messages tool call web_search")
}),
)
it.effect("fails with a typed provider error for stream error frames", () =>
Effect.gen(function* () {
const error = yield* LLMClient.generate(request).pipe(
@@ -303,32 +303,6 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("emits malformed tool input as an unexecuted tool error", () =>
Effect.gen(function* () {
const body = eventStreamBody(
["messageStart", { role: "assistant" }],
[
"contentBlockStart",
{
contentBlockIndex: 0,
start: { toolUse: { toolUseId: "tool_1", name: "lookup" } },
},
],
["contentBlockDelta", { contentBlockIndex: 0, delta: { toolUse: { input: '{"query":"partial' } } }],
["contentBlockStop", { contentBlockIndex: 0 }],
["messageStop", { stopReason: "end_turn" }],
)
const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
expect(response.events.find((event) => event.type === "tool-input-error")).toMatchObject({
id: "tool_1",
name: "lookup",
raw: '{"query":"partial',
})
expect(response.finishReason).toBe("tool-calls")
}),
)
it.effect("decodes reasoning deltas", () =>
Effect.gen(function* () {
const body = eventStreamBody(
@@ -1,5 +1,4 @@
import * as Anthropic from "../../src/providers/anthropic"
import * as AnthropicCompatible from "../../src/providers/anthropic-compatible"
import { CloudflareAIGateway, CloudflareWorkersAI } from "../../src/providers/cloudflare"
import * as Google from "../../src/providers/google"
import * as OpenAI from "../../src/providers/openai"
@@ -18,11 +17,6 @@ const anthropic = Anthropic.configure({
})
const anthropicHaiku = anthropic.model("claude-haiku-4-5-20251001")
const anthropicOpus = anthropic.model("claude-opus-4-7")
const minimax = AnthropicCompatible.configure({
apiKey: process.env.MINIMAX_API_KEY ?? "fixture",
baseURL: "https://api.minimax.io/anthropic/v1",
provider: "minimax",
}).model("MiniMax-M3")
const google = Google.configure({ apiKey: process.env.GOOGLE_GENERATIVE_AI_API_KEY ?? "fixture" })
const gemini = google.model("gemini-2.5-flash")
const xai = XAI.configure({ apiKey: process.env.XAI_API_KEY ?? "fixture" })
@@ -114,15 +108,6 @@ describeRecordedGoldenScenarios([
{ id: "image-tool-result", temperature: false, maxTokens: 40 },
],
},
{
name: "MiniMax M3 Anthropic-compatible",
prefix: "anthropic-compatible-messages",
protocol: "anthropic-messages",
model: minimax,
requires: ["MINIMAX_API_KEY"],
options: { redact: { allowRequestHeaders: ["anthropic-version"] } },
scenarios: ["text", "tool-call", "tool-loop"],
},
{
name: "Gemini 2.5 Flash",
prefix: "gemini",
@@ -2,11 +2,10 @@ import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import { LLM } from "../../src"
import { GoogleVertex, GoogleVertexChat, GoogleVertexMessages, GoogleVertexResponses } from "../../src/providers"
import { GoogleVertex, GoogleVertexAnthropic } from "../../src/providers"
import { LLMClient } from "../../src/route"
import { it } from "../lib/effect"
import { dynamicResponse } from "../lib/http"
import { deltaChunk, finishChunk } from "../lib/openai-chunks"
import { sseEvents } from "../lib/sse"
describe("Google Vertex providers", () => {
@@ -57,7 +56,7 @@ describe("Google Vertex providers", () => {
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertexMessages.configure({
model: GoogleVertexAnthropic.configure({
accessToken: "vertex-token",
location: "eu",
project: "vertex-project",
@@ -100,91 +99,11 @@ describe("Google Vertex providers", () => {
}),
)
it.effect("sends MaaS requests through Vertex Chat Completions", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertexChat.configure({
accessToken: "vertex-token",
location: "global",
project: "vertex-project",
}).model("deepseek-ai/deepseek-v3.2-maas"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi/chat/completions",
)
expect(request.headers.get("authorization")).toBe("Bearer vertex-token")
expect(yield* Effect.promise(() => request.json())).toMatchObject({
model: "deepseek-ai/deepseek-v3.2-maas",
messages: [{ role: "user", content: "Say hello." }],
stream: true,
stream_options: { include_usage: true },
})
return input.respond(sseEvents(deltaChunk({ content: "Hello." }), finishChunk("stop")), {
headers: { "content-type": "text/event-stream" },
})
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("sends Grok requests through Vertex Responses", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertexResponses.configure({
accessToken: "vertex-token",
location: "global",
project: "vertex-project",
}).model("xai/grok-4.20-reasoning"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi/responses",
)
expect(request.headers.get("authorization")).toBe("Bearer vertex-token")
expect(yield* Effect.promise(() => request.json())).toMatchObject({
model: "xai/grok-4.20-reasoning",
input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
store: false,
stream: true,
})
return input.respond(
sseEvents(
{ type: "response.output_text.delta", item_id: "msg_1", delta: "Hello." },
{ type: "response.completed", response: { id: "resp_1" } },
),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("protects the Vertex Messages API version from body overlays", () =>
it.effect("protects the Vertex Anthropic API version from body overlays", () =>
Effect.gen(function* () {
const error = yield* LLMClient.prepare(
LLM.request({
model: GoogleVertexMessages.configure({
model: GoogleVertexAnthropic.configure({
accessToken: "vertex-token",
http: { body: { anthropic_version: "wrong" } },
project: "vertex-project",
@@ -1,67 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, LLMEvent } from "../../src"
import * as OpenAICompatible from "../../src/providers/openai-compatible"
import * as OpenRouter from "../../src/providers/openrouter"
import { LLMClient } from "../../src/route"
import { recordedTests } from "../recorded-test"
const cases = [
{
name: "OpenRouter",
model: OpenRouter.configure({
apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
providerOptions: { openrouter: { reasoning: { max_tokens: 1024 } } },
}).model("anthropic/claude-sonnet-4.6"),
requires: ["OPENROUTER_API_KEY"],
cassette: "openrouter-reasoning",
},
{
name: "Vercel AI Gateway",
model: OpenAICompatible.configure({
provider: "vercel-ai-gateway",
baseURL: "https://ai-gateway.vercel.sh/v1",
apiKey: process.env.AI_GATEWAY_API_KEY ?? "fixture",
http: { body: { reasoning: { enabled: true, max_tokens: 1024 } } },
}).model("anthropic/claude-sonnet-4.6"),
requires: ["AI_GATEWAY_API_KEY"],
cassette: "vercel-ai-gateway-reasoning",
},
] as const
for (const item of cases) {
const recorded = recordedTests({
prefix: "openai-compatible-chat",
provider: item.model.provider,
protocol: "openai-chat",
requires: item.requires,
tags: ["reasoning"],
metadata: { model: item.model.id },
})
describe(`${item.name} reasoning recorded`, () => {
recorded.effect.with(
"streams scalar reasoning",
{ cassette: item.cassette },
() =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: item.model,
system: "Think through the arithmetic, then reply with only the final integer.",
prompt: "What is 173 multiplied by 219?",
generation: { maxTokens: 1536, temperature: 0 },
}),
)
expect(response.text.replaceAll(",", "").trim()).toBe("37887")
expect(response.reasoning.length).toBeGreaterThan(0)
expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
openai: { reasoningField: "reasoning" },
})
}),
30_000,
)
})
}
+20 -24
View File
@@ -540,33 +540,29 @@ describe("OpenAI Chat route", () => {
}),
)
it.effect("parses and replays OpenAI-compatible reasoning fields", () =>
it.effect("parses OpenAI-compatible reasoning content deltas", () =>
Effect.gen(function* () {
const fields = ["reasoning_content", "reasoning", "reasoning_text"] as const
for (const field of fields) {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents(
{ choices: [{ delta: { [field]: "thinking" } }] },
{ choices: [{ delta: { content: "Hello" } }] },
{ choices: [{ delta: {}, finish_reason: "stop" }] },
),
),
),
)
const body = sseEvents(
{ choices: [{ delta: { reasoning_content: "thinking" } }] },
{ choices: [{ delta: { content: "Hello" } }] },
{ choices: [{ delta: {}, finish_reason: "stop" }] },
)
expect(response.reasoning).toBe("thinking")
expect(response.text).toBe("Hello")
expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
openai: { reasoningField: field },
})
const response = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)))
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
LLM.request({ model, messages: [response.message] }),
)
expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", [field]: "thinking" }])
}
expect(response.reasoning).toBe("thinking")
expect(response.text).toBe("Hello")
expect(response.events).toMatchObject([
{ type: "step-start", index: 0 },
{ type: "reasoning-start", id: "reasoning-0" },
{ type: "reasoning-delta", id: "reasoning-0", text: "thinking" },
{ type: "reasoning-end", id: "reasoning-0" },
{ type: "text-start", id: "text-0" },
{ type: "text-delta", id: "text-0", text: "Hello" },
{ type: "text-end", id: "text-0" },
{ type: "step-finish", index: 0, reason: "stop" },
{ type: "finish", reason: "stop" },
])
}),
)
@@ -1,7 +1,7 @@
import { describe, expect } from "bun:test"
import { ConfigProvider, Effect, Layer, Stream } from "effect"
import { Headers, HttpClientRequest } from "effect/unstable/http"
import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, Usage } from "../../src"
import { LLM, LLMError, Message, Model, ToolCallPart, Usage } from "../../src"
import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
import * as Azure from "../../src/providers/azure"
import * as OpenAI from "../../src/providers/openai"
@@ -1259,69 +1259,6 @@ describe("OpenAI Responses route", () => {
}),
)
it.effect("emits malformed final function arguments as an unexecuted tool error", () =>
Effect.gen(function* () {
const body = sseEvents(
{
type: "response.output_item.added",
item: { type: "function_call", id: "item_1", call_id: "call_1", name: "lookup", arguments: "" },
},
{ type: "response.function_call_arguments.delta", item_id: "item_1", delta: '{"query":"streamed"}' },
{
type: "response.output_item.done",
item: {
type: "function_call",
id: "item_1",
call_id: "call_1",
name: "lookup",
arguments: '{"query":"partial',
},
},
{ type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
)
const response = yield* LLMClient.generate(
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
expect(response.events.find(LLMEvent.is.toolInputError)).toEqual({
type: "tool-input-error",
id: "call_1",
name: "lookup",
raw: '{"query":"partial',
})
expect(response.finishReason).toBe("tool-calls")
expect(response.events.some(LLMEvent.is.toolCall)).toBeFalse()
}),
)
it.effect("settles malformed function arguments when output_item.added is absent", () =>
Effect.gen(function* () {
const body = sseEvents(
{
type: "response.output_item.done",
item: {
type: "function_call",
id: "item_1",
call_id: "call_1",
name: "lookup",
arguments: '{"query":"partial',
},
},
{ type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
)
const response = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)))
expect(response.events.find(LLMEvent.is.toolInputError)).toMatchObject({
id: "call_1",
name: "lookup",
raw: '{"query":"partial',
})
expect(response.finishReason).toBe("tool-calls")
}),
)
it.effect("decodes web_search_call as provider-executed tool-call + tool-result", () =>
Effect.gen(function* () {
const item = {
-15
View File
@@ -95,19 +95,4 @@ describe("LLMResponse reducer", () => {
{ type: "tool-call", id: "call_1", name: "lookup", input: { query: "weather" } },
])
})
test("clears malformed tool input without appending an executable call", () => {
const state = reduce([
LLMEvent.toolInputStart({ id: "call_1", name: "lookup" }),
LLMEvent.toolInputDelta({ id: "call_1", name: "lookup", text: '{"query":"partial' }),
LLMEvent.toolInputError({
id: "call_1",
name: "lookup",
raw: '{"query":"partial',
}),
])
expect(state.toolInputs).toEqual({})
expect(state.message.content).toEqual([])
})
})
-67
View File
@@ -64,73 +64,6 @@ describe("ToolStream", () => {
}),
)
it.effect("finalizes malformed local input as a non-executable tool error", () =>
Effect.gen(function* () {
const tools = ToolStream.start(ToolStream.empty<string>(), "item_1", {
id: "call_1",
name: "lookup",
input: '{"query":"partial',
})
const finished = yield* ToolStream.finish(ADAPTER, tools, "item_1")
expect(finished).toEqual({
tools: {},
events: [
{
type: "tool-input-error",
id: "call_1",
name: "lookup",
raw: '{"query":"partial',
},
],
})
}),
)
it.effect("preserves valid siblings when one parallel input is malformed", () =>
Effect.gen(function* () {
const valid = ToolStream.start(ToolStream.empty<number>(), 0, {
id: "call_valid",
name: "lookup",
input: '{"query":"weather"}',
})
const tools = ToolStream.start(valid, 1, {
id: "call_invalid",
name: "lookup",
input: '{"query":"partial',
})
const finished = yield* ToolStream.finishAll(ADAPTER, tools)
expect(finished).toEqual({
tools: {},
events: [
{ type: "tool-input-end", id: "call_valid", name: "lookup" },
{ type: "tool-call", id: "call_valid", name: "lookup", input: { query: "weather" } },
{
type: "tool-input-error",
id: "call_invalid",
name: "lookup",
raw: '{"query":"partial',
},
],
})
}),
)
it.effect("keeps malformed provider-executed input terminal", () =>
Effect.gen(function* () {
const tools = ToolStream.start(ToolStream.empty<string>(), "item_1", {
id: "call_1",
name: "web_search",
input: '{"query":"partial',
providerExecuted: true,
})
const result = yield* Effect.exit(ToolStream.finish(ADAPTER, tools, "item_1"))
expect(result._tag).toBe("Failure")
}),
)
it.effect("preserves providerExecuted and clears all tools", () =>
Effect.gen(function* () {
const first: ToolStream.State<number> = ToolStream.start(ToolStream.empty<number>(), 0, {
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/app",
"version": "1.18.3",
"version": "1.18.2",
"description": "",
"type": "module",
"exports": {
+136 -90
View File
@@ -1,18 +1,17 @@
import { base64Encode } from "@opencode-ai/core/util/encode"
import { getFilename } from "@opencode-ai/core/util/path"
import type { GlobalSession, Project } from "@opencode-ai/sdk/v2/client"
import { useDialog } from "@opencode-ai/ui/context/dialog"
import { useNavigate } from "@solidjs/router"
import { createMemo, onCleanup } from "solid-js"
import { commandPaletteOptions, useCommand, type CommandOption } from "@/context/command"
import { useCommand, type CommandOption } from "@/context/command"
import { useFile } from "@/context/file"
import { useGlobal } from "@/context/global"
import { useLanguage } from "@/context/language"
import { useLayout, type LocalProject } from "@/context/layout"
import { ServerConnection } from "@/context/server"
import { useServerSDK } from "@/context/server-sdk"
import { useTabs } from "@/context/tabs"
import { displayName, projectForSession } from "@/pages/layout/helpers"
import { useLayout } from "@/context/layout"
import { useServerSDK, type ServerSDK } from "@/context/server-sdk"
import { useServerSync } from "@/context/server-sync"
import { createSessionTabs } from "@/pages/session/helpers"
import { useSessionLayout } from "@/pages/session/session-layout"
import { decode64 } from "@/utils/base64"
export type CommandPaletteEntry = {
id: string
@@ -25,8 +24,6 @@ export type CommandPaletteEntry = {
path?: string
directory?: string
sessionID?: string
server?: ServerConnection.Key
project?: LocalProject
archived?: number
updated?: number
}
@@ -78,25 +75,28 @@ export function createCommandPaletteFileOpener(onOpenFile?: (path: string) => vo
export function createCommandPaletteModel(props: { filesOnly?: () => boolean; onOpenFile?: (path: string) => void }) {
const command = useCommand()
const global = useGlobal()
const language = useLanguage()
const layout = useLayout()
const file = useFile()
const dialog = useDialog()
const navigate = useNavigate()
const serverSDK = useServerSDK()()
const serverCtx = global.ensureServerCtx(serverSDK.server)
const appTabs = useTabs()
const { tabs: sessionTabs } = useSessionLayout()
const serverSync = useServerSync()
const { params, tabs } = useSessionLayout()
const openFile = createCommandPaletteFileOpener(props.onOpenFile)
const state = { cleanup: undefined as (() => void) | void, committed: false }
const filesOnly = () => props.filesOnly?.() ?? false
const allowedCommands = createMemo(() => {
if (filesOnly()) return []
return commandPaletteOptions(command.options)
return command.options.filter(
(option) =>
!option.disabled && !option.hidden && !option.id.startsWith("suggested.") && option.id !== "file.open",
)
})
const commandEntries = createMemo(() => {
const category = language.t("palette.group.commands")
return allowedCommands().map((option) => createCommandPaletteCommandEntry(option, category))
return allowedCommands().map((option) => createCommandEntry(option, category))
})
const preferredCommandEntries = createMemo(() => {
const all = allowedCommands()
@@ -105,11 +105,11 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
const base = picked.length ? picked : all.slice(0, ENTRY_LIMIT)
const sorted = picked.length ? [...base].sort((a, b) => (order.get(a.id) ?? 0) - (order.get(b.id) ?? 0)) : base
const category = language.t("palette.group.commands")
return sorted.map((option) => createCommandPaletteCommandEntry(option, category))
return sorted.map((option) => createCommandEntry(option, category))
})
const tabState = createSessionTabs({
tabs: sessionTabs,
tabs,
pathFromTab: file.pathFromTab,
normalizeTab: (tab) => (tab.startsWith("file://") ? file.tab(tab) : tab),
})
@@ -140,12 +140,36 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
.map((path) => createCommandPaletteFileEntry(path, category))
})
const sessions = createServerSessionEntries({
server: ServerConnection.key(serverSDK.server),
opened: serverCtx.projects.list,
stored: () => serverCtx.sync.data.project,
load: (search, signal) =>
serverSDK.client.experimental.session.list({ roots: true, search, limit: 50 }, { signal }),
const projectDirectory = createMemo(() => decode64(params.dir) ?? "")
const project = createMemo(() => {
const directory = projectDirectory()
if (!directory) return undefined
return layout.projects.list().find((item) => item.worktree === directory || item.sandboxes?.includes(directory))
})
const workspaces = createMemo(() => {
const directory = projectDirectory()
const current = project()
if (!current) return directory ? [directory] : []
const dirs = [current.worktree, ...(current.sandboxes ?? [])]
if (directory && !dirs.includes(directory)) return [...dirs, directory]
return dirs
})
const homedir = createMemo(() => serverSync().data.path.home)
const sessions = createSessionEntries({
workspaces,
label: (directory) => {
const current = project()
const kind =
current && directory === current.worktree
? language.t("workspace.type.local")
: language.t("workspace.type.sandbox")
const [store] = serverSync().child(directory, { bootstrap: false })
const home = homedir()
const path = home ? directory.replace(home, "~") : directory
const name = store.vcs?.branch ?? getFilename(directory)
return `${kind} : ${name || path}`
},
load: (directory) => serverSDK.client.session.list({ directory, roots: true }),
untitled: () => language.t("command.session.new"),
category: () => language.t("command.category.session"),
})
@@ -167,17 +191,8 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
return
}
if (item.type === "session") {
if (!item.sessionID || !item.server) return
const directory = item.project?.worktree ?? item.directory
if (directory) {
serverCtx.projects.open(directory)
serverCtx.projects.touch(directory)
}
const tab = appTabs.addSessionTab({
server: item.server,
sessionId: item.sessionID,
})
appTabs.select(tab)
if (!item.directory || !item.sessionID) return
navigate(`/${base64Encode(item.directory)}/session/${item.sessionID}`)
return
}
if (!item.path) return
@@ -203,7 +218,7 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
}
}
export function createCommandPaletteCommandEntry(option: CommandOption, category: string): CommandPaletteEntry {
function createCommandEntry(option: CommandOption, category: string): CommandPaletteEntry {
return {
id: "command:" + option.id,
type: "command",
@@ -215,65 +230,96 @@ export function createCommandPaletteCommandEntry(option: CommandOption, category
}
}
export function createServerSessionEntries(props: {
server: ServerConnection.Key
opened: () => LocalProject[]
stored: () => Project[]
load: (search: string, signal: AbortSignal) => Promise<{ data?: GlobalSession[] }>
function createSessionEntries(props: {
workspaces: () => string[]
label: (directory: string) => string
load: (directory: string) => ReturnType<ServerSDK["client"]["session"]["list"]>
untitled: () => string
category: () => string
}) {
let abort: AbortController | undefined
const state: {
token: number
inflight: Promise<CommandPaletteEntry[]> | undefined
cached: CommandPaletteEntry[] | undefined
} = { token: 0, inflight: undefined, cached: undefined }
onCleanup(() => abort?.abort())
return async (text: string): Promise<CommandPaletteEntry[]> => {
const search = text.trim()
if (!search) {
abort?.abort()
return []
return (text: string) => {
if (!text.trim()) {
state.token += 1
state.inflight = undefined
state.cached = undefined
return [] as CommandPaletteEntry[]
}
abort?.abort()
const current = new AbortController()
abort = current
await new Promise<void>((resolve) => {
const timer = setTimeout(resolve, 100)
current.signal.addEventListener(
"abort",
() => {
clearTimeout(timer)
resolve()
},
{ once: true },
)
})
if (current.signal.aborted) return []
const opened = props.opened()
const openedByID = new Map(opened.flatMap((project) => (project.id ? [[project.id, project] as const] : [])))
const stored = props.stored().map((project) => ({ ...project, expanded: false }))
const storedByID = new Map(stored.map((project) => [project.id, project] as const))
return props
.load(search, current.signal)
.then((result) =>
(result.data ?? [])
.filter((session) => !session.time.archived)
.map((session) => {
const project =
projectForSession(session, opened, openedByID) ?? projectForSession(session, stored, storedByID)
return {
id: `session:${props.server}:${session.id}`,
type: "session" as const,
title: session.title || props.untitled(),
description: project ? displayName(project) : session.project?.name || getFilename(session.directory),
category: props.category(),
directory: session.directory,
sessionID: session.id,
server: props.server,
project,
updated: session.time.updated,
}
}),
)
if (state.cached) return state.cached
if (state.inflight) return state.inflight
const current = state.token
const dirs = props.workspaces()
if (dirs.length === 0) return [] as CommandPaletteEntry[]
state.inflight = Promise.all(
dirs.map((directory) => {
const description = props.label(directory)
return props
.load(directory)
.then((result) =>
(result.data ?? [])
.filter((session) => !!session?.id)
.map((session) => ({
id: session.id,
title: session.title ?? props.untitled(),
description,
directory,
archived: session.time?.archived,
updated: session.time?.updated,
})),
)
.catch(() => [] as SessionEntryInput[])
}),
)
.then((results) => {
if (state.token !== current) return [] as CommandPaletteEntry[]
const seen = new Set<string>()
const next = results
.flat()
.filter((item) => {
const key = `${item.directory}:${item.id}`
if (seen.has(key)) return false
seen.add(key)
return true
})
.map((item) => createSessionEntry(item, props.category()))
state.cached = next
return next
})
.catch(() => [] as CommandPaletteEntry[])
.finally(() => {
state.inflight = undefined
})
return state.inflight
}
}
type SessionEntryInput = {
directory: string
id: string
title: string
description: string
archived?: number
updated?: number
}
function createSessionEntry(input: SessionEntryInput, category: string): CommandPaletteEntry {
return {
id: `session:${input.directory}:${input.id}`,
type: "session",
title: input.title,
description: input.description,
category,
directory: input.directory,
sessionID: input.id,
archived: input.archived,
updated: input.updated,
}
}
@@ -5,20 +5,13 @@ import { Dialog, DialogBody } from "@opencode-ai/ui/v2/dialog-v2"
import { Icon } from "@opencode-ai/ui/v2/icon"
import { KeybindV2 } from "@opencode-ai/ui/v2/keybind-v2"
import { TextInputV2 } from "@opencode-ai/ui/v2/text-input-v2"
import { useDialog } from "@opencode-ai/ui/context/dialog"
import { createEffect, createMemo, createResource, createSignal, For, Match, onCleanup, Show, Switch } from "solid-js"
import { commandPaletteOptions, formatKeybindParts, useCommand } from "@/context/command"
import { useGlobal } from "@/context/global"
import { createEffect, createMemo, createResource, createSignal, For, Match, Show, Switch } from "solid-js"
import { formatKeybindParts } from "@/context/command"
import { useLanguage } from "@/context/language"
import { ServerConnection } from "@/context/server"
import { useTabs } from "@/context/tabs"
import { SessionTabAvatar } from "@/pages/layout/session-tab-avatar"
import { getRelativeTime } from "@/utils/time"
import {
createCommandPaletteCommandEntry,
createCommandPaletteFileEntry,
createCommandPaletteModel,
createServerSessionEntries,
uniqueCommandPaletteEntries,
type CommandPaletteEntry,
} from "./command-palette"
@@ -37,6 +30,9 @@ function matchesEntry(entry: CommandPaletteEntry, query: string) {
export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => void }) {
const palette = createCommandPaletteModel(props)
const [query, setQuery] = createSignal("")
const [active, setActive] = createSignal(0)
const loadItems = async (text: string) => {
const q = text.trim()
if (!q) return [...palette.preferredCommandEntries(), ...palette.recentFileEntries()]
@@ -45,105 +41,16 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
const category = palette.language.t("palette.group.files")
return [
...palette.commandEntries().filter((entry) => matchesEntry(entry, q)),
...nextSessions,
...nextSessions.filter((entry) => matchesEntry(entry, q)),
...files.map((path) => createCommandPaletteFileEntry(path, category)),
]
}
return (
<CommandPaletteView
placeholder={palette.language.t("palette.search.placeholder")}
loadItems={loadItems}
highlight={palette.highlight}
select={palette.select}
close={palette.close}
/>
)
}
export function DialogHomeCommandPaletteV2(props: {
server: ServerConnection.Any
onSelectSession: (entry: CommandPaletteEntry) => void
}) {
const command = useCommand()
const dialog = useDialog()
const global = useGlobal()
const language = useLanguage()
const serverCtx = global.ensureServerCtx(props.server)
const state = { cleanup: undefined as (() => void) | void, committed: false }
const commandEntries = createMemo(() => {
const category = language.t("palette.group.commands")
return commandPaletteOptions(command.options).map((option) => createCommandPaletteCommandEntry(option, category))
})
const sessions = createServerSessionEntries({
server: ServerConnection.key(props.server),
opened: serverCtx.projects.list,
stored: () => serverCtx.sync.data.project,
load: (search, signal) =>
serverCtx.sdk.client.experimental.session.list({ roots: true, search, limit: 50 }, { signal }),
untitled: () => language.t("command.session.new"),
category: () => language.t("command.category.session"),
})
const highlight = (item: CommandPaletteEntry | undefined) => {
state.cleanup?.()
state.cleanup = undefined
if (item?.type !== "command") return
state.cleanup = item.option?.onHighlight?.()
}
const select = (item: CommandPaletteEntry | undefined) => {
if (!item) return
state.committed = true
state.cleanup = undefined
dialog.close()
if (item.type === "command") {
item.option?.onSelect?.("palette")
return
}
if (item.type === "session") props.onSelectSession(item)
}
const loadItems = async (text: string) => {
const query = text.trim()
if (!query) return commandEntries().slice(0, 5)
return [...commandEntries().filter((entry) => matchesEntry(entry, query)), ...(await sessions(query))]
}
onCleanup(() => {
if (state.committed) return
state.cleanup?.()
})
return (
<CommandPaletteView
placeholder={language.t("palette.search.placeholder.home")}
loadItems={loadItems}
highlight={highlight}
select={select}
close={() => dialog.close()}
/>
)
}
function CommandPaletteView(props: {
placeholder: string
loadItems: (text: string) => CommandPaletteEntry[] | Promise<CommandPaletteEntry[]>
highlight: (item: CommandPaletteEntry | undefined) => void
select: (item: CommandPaletteEntry | undefined) => void
close: () => void
}) {
const language = useLanguage()
const tabs = useTabs()
const [query, setQuery] = createSignal("")
const [active, setActive] = createSignal(0)
const [entries] = createResource(query, props.loadItems, { initialValue: [] as CommandPaletteEntry[] })
const [entries] = createResource(query, loadItems, { initialValue: [] as CommandPaletteEntry[] })
// Render stale results while a new query loads to avoid flashing "Loading" per keystroke.
const visibleEntries = createMemo(() => uniqueCommandPaletteEntries(entries.latest ?? []))
const groupedEntries = createMemo(() => groups(visibleEntries()))
const activeEntry = createMemo(() => visibleEntries()[active()])
const openSessions = createMemo(
() => new Set(tabs.store.flatMap((tab) => (tab.type === "session" ? [`${tab.server}\0${tab.sessionId}`] : []))),
)
createEffect(() => {
query()
@@ -152,7 +59,7 @@ function CommandPaletteView(props: {
})
createEffect(() => {
props.highlight(activeEntry())
palette.highlight(activeEntry())
})
let resultsRef: HTMLDivElement | undefined
@@ -179,12 +86,12 @@ function CommandPaletteView(props: {
}
if (event.key === "Enter") {
event.preventDefault()
props.select(activeEntry())
palette.select(activeEntry())
return
}
if (event.key === "Escape") {
event.preventDefault()
props.close()
palette.close()
}
}
@@ -198,7 +105,7 @@ function CommandPaletteView(props: {
autocomplete="off"
spellcheck={false}
appearance="large"
placeholder={props.placeholder}
placeholder={palette.language.t("palette.search.placeholder")}
leadingIcon={<Icon name="magnifying-glass" />}
onInput={(event) => setQuery(event.currentTarget.value)}
onKeyDown={handleKeyDown}
@@ -210,7 +117,7 @@ function CommandPaletteView(props: {
when={visibleEntries().length > 0}
fallback={
<div class="command-palette-v2-state">
{entries.loading ? language.t("common.loading") : language.t("palette.empty")}
{entries.loading ? palette.language.t("common.loading") : palette.language.t("palette.empty")}
</div>
}
>
@@ -225,14 +132,9 @@ function CommandPaletteView(props: {
<PaletteRow
item={item}
active={activeEntry()?.id === item.id}
language={language}
sessionOpen={
item.server && item.sessionID
? openSessions().has(`${item.server}\0${item.sessionID}`)
: false
}
language={palette.language}
onActive={() => setActive(visibleEntries().findIndex((entry) => entry.id === item.id))}
onSelect={() => props.select(item)}
onSelect={() => palette.select(item)}
/>
)}
</For>
@@ -251,19 +153,13 @@ function PaletteRow(props: {
item: CommandPaletteEntry
active: boolean
language: ReturnType<typeof useLanguage>
sessionOpen: boolean
onActive: () => void
onSelect: () => void
}) {
const session = () =>
props.item.server && props.item.directory && props.item.sessionID
? { server: props.item.server, directory: props.item.directory, sessionID: props.item.sessionID }
: undefined
return (
<button
type="button"
class="command-palette-v2-row group"
class="command-palette-v2-row"
role="option"
aria-selected={props.active}
data-active={props.active ? "" : undefined}
@@ -301,25 +197,7 @@ function PaletteRow(props: {
</Match>
<Match when={props.item.type === "session"}>
<div class="command-palette-v2-row-main">
<div class="relative shrink-0">
<Show when={props.sessionOpen}>
<span
aria-hidden="true"
class="pointer-events-none absolute top-1/2 h-3 w-0.5 -translate-y-1/2 rounded-[2px] bg-v2-background-bg-layer-04"
style={{ right: "calc(100% + 4px)" }}
/>
</Show>
<Show when={session()}>
{(session) => (
<SessionTabAvatar
project={props.item.project}
directory={session().directory}
sessionId={session().sessionID}
server={session().server}
/>
)}
</Show>
</div>
<Icon name="status" class="command-palette-v2-row-icon" />
<div class="command-palette-v2-row-text">
<span class="command-palette-v2-title" classList={{ "opacity-70": !!props.item.archived }}>
{props.item.title}
+41 -1
View File
@@ -8,9 +8,49 @@ import introducingTabsVideo from "@/assets/help/introducing-tabs.mp4"
import homeImage from "@/assets/help/home.png"
import tabsImage from "@/assets/help/tabs.png"
const helpIcon = (
<svg
width="16"
height="16"
viewBox="0 0 16 16"
fill="none"
xmlns="http://www.w3.org/2000/svg"
aria-hidden="true"
data-slot="icon-svg"
>
<path
d="M6.94235 10.5714V10.4854C6.94617 9.76302 7.01879 9.18777 7.16022 8.75968C7.30546 8.33158 7.50804 7.98567 7.76796 7.72193C8.02787 7.45819 8.34321 7.21548 8.71397 6.99379C8.93948 6.85619 9.14206 6.69374 9.32171 6.50645C9.50518 6.31916 9.64851 6.10511 9.75171 5.86431C9.85874 5.62351 9.91225 5.35404 9.91225 5.0559C9.91225 4.69661 9.82625 4.38509 9.65424 4.12136C9.48607 3.85762 9.26055 3.65504 8.9777 3.51362C8.69486 3.36837 8.38143 3.29575 8.03743 3.29575C7.73165 3.29575 7.43733 3.35882 7.15448 3.48495C6.87546 3.61108 6.6423 3.80984 6.45501 4.08122C6.26772 4.3526 6.15878 4.70425 6.12821 5.13617H4.56299C4.59357 4.47109 4.76557 3.9054 5.07899 3.43908C5.39242 2.96894 5.80522 2.61156 6.31741 2.36694C6.83341 2.12231 7.40675 2 8.03743 2C8.72161 2 9.31789 2.13378 9.82625 2.40134C10.3384 2.66507 10.734 3.0301 11.0131 3.49642C11.2959 3.96273 11.4373 4.49976 11.4373 5.1075C11.4373 5.53177 11.3724 5.914 11.2424 6.25418C11.1124 6.59436 10.9251 6.89823 10.6805 7.16579C10.4397 7.43335 10.1492 7.67033 9.80905 7.87673C9.48033 8.08313 9.21468 8.301 9.0121 8.53034C8.80952 8.75585 8.66237 9.02341 8.57063 9.33302C8.4789 9.64262 8.42921 10.0268 8.42156 10.4854V10.5714H6.94235ZM7.72782 14C7.43351 14 7.17933 13.8949 6.96528 13.6847C6.75506 13.4744 6.64994 13.2203 6.64994 12.9221C6.64994 12.6278 6.75506 12.3755 6.96528 12.1653C7.17933 11.9551 7.43351 11.85 7.72782 11.85C8.02214 11.85 8.27441 11.9551 8.48463 12.1653C8.69868 12.3755 8.8057 12.6278 8.8057 12.9221C8.8057 13.1209 8.75601 13.3024 8.65663 13.4668C8.55726 13.6273 8.4273 13.7573 8.26676 13.8567C8.10623 13.9522 7.92658 14 7.72782 14Z"
fill="var(--v2-icon-icon-base)"
/>
</svg>
)
const triggerClass =
"size-7 !rounded-full shrink-0 bg-v2-background-bg-base shadow-[var(--v2-elevation-button-neutral)]"
// TODO: wire to changelog / seen-state when available
const showPopover = () => true
export function HelpButton() {
const platform = usePlatform()
return (
<a
href="https://opencode.ai"
aria-label="Open the OpenCode website"
data-component="icon-button-v2"
data-size="large"
class={`${triggerClass} fixed bottom-5 right-5 z-50 flex items-center justify-center`}
onClick={(event) => {
event.preventDefault()
platform.openLink(event.currentTarget.href)
}}
>
{helpIcon}
</a>
)
}
// can remove this after the tabs rollout has been out for a while
export function TabsInfoPopup() {
const settings = useSettings()
@@ -21,7 +61,7 @@ export function TabsInfoPopup() {
<Drawer open={drawerOpen()} onOpenChange={setDrawerOpen} side="right">
<Show when={settings.general.shouldDisplayTabsToast()}>
<div
class="fixed bottom-5 right-5 z-50 h-[240px] w-[192px] rounded-[8px] bg-v2-background-bg-base p-1 shadow-[var(--v2-elevation-floating)]"
class="fixed bottom-14 right-5 z-50 h-[240px] w-[192px] rounded-[8px] bg-v2-background-bg-base p-1 shadow-[var(--v2-elevation-floating)]"
aria-label="Introducing Tabs. Organize your work and active sessions with tabs"
>
<button
@@ -10,7 +10,7 @@ import { IconButtonV2 } from "@opencode-ai/ui/v2/icon-button-v2"
import { TextInputV2 } from "@opencode-ai/ui/v2/text-input-v2"
import { showToast } from "@/utils/toast"
import fuzzysort from "fuzzysort"
import { DEFAULT_PALETTE_KEYBIND, formatKeybind, parseKeybind, useCommand } from "@/context/command"
import { formatKeybind, parseKeybind, useCommand } from "@/context/command"
import { useLanguage } from "@/context/language"
import { useSettings } from "@/context/settings"
import { SettingsList } from "./settings-list"
@@ -20,6 +20,7 @@ const IconV2 = lazy(() => import("@opencode-ai/ui/v2/icon").then((module) => ({
const IS_MAC = typeof navigator === "object" && /(Mac|iPod|iPhone|iPad)/.test(navigator.platform)
const PALETTE_ID = "command.palette"
const DEFAULT_PALETTE_KEYBIND = "mod+shift+p"
type KeybindGroup = "General" | "Session" | "Navigation" | "Model and agent" | "Terminal" | "Prompt"
+1 -15
View File
@@ -1,19 +1,5 @@
import { describe, expect, test } from "bun:test"
import { commandPaletteOptions, resolveKeybindOption, upsertCommandRegistration, type CommandOption } from "./command"
const paletteOptions: CommandOption[] = [
{ id: "settings.open", title: "Open settings" },
{ id: "session.undo", title: "Undo" },
{ id: "file.open", title: "Open file" },
{ id: "hidden", title: "Hidden", hidden: true },
{ id: "disabled", title: "Disabled", disabled: true },
]
describe("commandPaletteOptions", () => {
test("keeps visible enabled commands", () => {
expect(commandPaletteOptions(paletteOptions).map((option) => option.id)).toEqual(["settings.open", "session.undo"])
})
})
import { resolveKeybindOption, upsertCommandRegistration } from "./command"
describe("upsertCommandRegistration", () => {
test("replaces keyed registrations", () => {
+2 -9
View File
@@ -11,7 +11,7 @@ import { Persist, persisted } from "@/utils/persist"
const IS_MAC = typeof navigator === "object" && /(Mac|iPod|iPhone|iPad)/.test(navigator.platform)
const PALETTE_ID = "command.palette"
export const DEFAULT_PALETTE_KEYBIND = "mod+k,mod+shift+p"
const DEFAULT_PALETTE_KEYBIND = "mod+shift+p"
const SUGGESTED_PREFIX = "suggested."
const EDITABLE_KEYBIND_IDS = new Set(["terminal.toggle", "terminal.new", "file.attach"])
@@ -87,13 +87,6 @@ export interface CommandOption {
onHighlight?: () => (() => void) | void
}
export function commandPaletteOptions(options: CommandOption[]) {
return options.filter(
(option) =>
!option.disabled && !option.hidden && !option.id.startsWith(SUGGESTED_PREFIX) && option.id !== "file.open",
)
}
export function resolveKeybindOption(candidates: CommandOption[] | undefined, event: KeyboardEvent) {
return candidates?.find((option) => option.when?.(event)) ?? candidates?.find((option) => !option.when)
}
@@ -382,7 +375,7 @@ export const { use: useCommand, provider: CommandProvider } = createSimpleContex
}
const showPalette = () => {
run(PALETTE_ID, "palette")
run("file.open", "palette")
}
const handleKeyDown = (event: KeyboardEvent) => {
@@ -1,29 +0,0 @@
import { describe, expect, test } from "bun:test"
import { hasCustomAgent, resolveAgent } from "./local-agent"
describe("hasCustomAgent", () => {
test("detects explicitly custom agents", () => {
expect(hasCustomAgent([{ native: true }, { native: false }])).toBe(true)
})
test("ignores built-in and unclassified agents", () => {
expect(hasCustomAgent([{ native: true }, {}])).toBe(false)
})
})
describe("resolveAgent", () => {
const agents = [{ name: "plan" }, { name: "build" }, { name: "custom" }]
test("uses the requested available agent", () => {
expect(resolveAgent(agents, "custom")?.name).toBe("custom")
})
test("defaults to build", () => {
expect(resolveAgent(agents)?.name).toBe("build")
expect(resolveAgent(agents, "missing")?.name).toBe("build")
})
test("uses the first agent when build is unavailable", () => {
expect(resolveAgent([{ name: "custom" }], "missing")?.name).toBe("custom")
})
})
-7
View File
@@ -1,7 +0,0 @@
export function hasCustomAgent(items: Array<{ native?: boolean }>) {
return items.some((item) => item.native === false)
}
export function resolveAgent<T extends { name: string }>(items: T[], name?: string) {
return items.find((item) => item.name === name) ?? items.find((item) => item.name === "build") ?? items[0]
}
+4 -7
View File
@@ -4,10 +4,8 @@ import { useParams } from "@solidjs/router"
import { batch, createEffect, createMemo, startTransition } from "solid-js"
import { createStore } from "solid-js/store"
import { useModels } from "@/context/models"
import { useSettings } from "@/context/settings"
import { useProviders } from "@/hooks/use-providers"
import { Persist, persisted } from "@/utils/persist"
import { hasCustomAgent, resolveAgent } from "./local-agent"
import { cycleModelVariant, getConfiguredAgentVariant, resolveModelVariant } from "./model-variant"
import { useSDK } from "./sdk"
import { useSync } from "./sync"
@@ -64,11 +62,9 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
const serverSDK = useServerSDK()
const providers = useProviders(() => sdk().directory)
const models = useModels()
const settings = useSettings()
const id = createMemo(() => params.id || undefined)
const list = createMemo(() => sync().data.agent.filter((item) => item.mode !== "subagent" && !item.hidden))
const agentsVisible = createMemo(() => settings.visibility.customAgents() || hasCustomAgent(list()))
const connected = createMemo(() => new Set(providers.connected().map((item) => item.id)))
const [saved, setSaved, , savedReady] = persisted(
@@ -111,7 +107,9 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
}
const pickAgent = (name: string | undefined) => {
return resolveAgent(list(), name)
const items = list()
if (items.length === 0) return
return items.find((item) => item.name === name) ?? items[0]
}
createEffect(() => {
@@ -182,9 +180,8 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
const agent = {
list,
visible: agentsVisible,
current() {
return pickAgent(agentsVisible() ? (scope()?.agent ?? store.current) : "build")
return pickAgent(scope()?.agent ?? store.current)
},
set(name: string | undefined) {
const item = pickAgent(name)
-1
View File
@@ -86,7 +86,6 @@ export const dict = {
"command.session.unshare": "إلغاء مشاركة الجلسة",
"command.session.unshare.description": "إيقاف مشاركة هذه الجلسة",
"palette.search.placeholder": "البحث في الملفات والأوامر والجلسات",
"palette.search.placeholder.home": "البحث في الأوامر والجلسات",
"palette.empty": "لا توجد نتائج",
"palette.group.commands": "الأوامر",
"palette.group.files": "الملفات",
-1
View File
@@ -86,7 +86,6 @@ export const dict = {
"command.session.unshare": "Parar de compartilhar sessão",
"command.session.unshare.description": "Parar de compartilhar esta sessão",
"palette.search.placeholder": "Buscar arquivos, comandos e sessões",
"palette.search.placeholder.home": "Buscar comandos e sessões",
"palette.empty": "Nenhum resultado encontrado",
"palette.group.commands": "Comandos",
"palette.group.files": "Arquivos",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "Zaustavi dijeljenje ove sesije",
"palette.search.placeholder": "Pretraži datoteke, komande i sesije",
"palette.search.placeholder.home": "Pretraži komande i sesije",
"palette.empty": "Nema rezultata",
"palette.group.commands": "Komande",
"palette.group.files": "Datoteke",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "Stop med at dele denne session",
"palette.search.placeholder": "Søg i filer, kommandoer og sessioner",
"palette.search.placeholder.home": "Søg i kommandoer og sessioner",
"palette.empty": "Ingen resultater fundet",
"palette.group.commands": "Kommandoer",
"palette.group.files": "Filer",
-1
View File
@@ -90,7 +90,6 @@ export const dict = {
"command.session.unshare": "Teilen der Sitzung aufheben",
"command.session.unshare.description": "Teilen dieser Sitzung beenden",
"palette.search.placeholder": "Dateien, Befehle und Sitzungen durchsuchen",
"palette.search.placeholder.home": "Befehle und Sitzungen durchsuchen",
"palette.empty": "Keine Ergebnisse gefunden",
"palette.group.commands": "Befehle",
"palette.group.files": "Dateien",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "Stop sharing this session",
"palette.search.placeholder": "Search files, commands, and sessions",
"palette.search.placeholder.home": "Search commands and sessions",
"palette.empty": "No results found",
"palette.group.commands": "Commands",
"palette.group.files": "Files",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "Dejar de compartir esta sesión",
"palette.search.placeholder": "Buscar archivos, comandos y sesiones",
"palette.search.placeholder.home": "Buscar comandos y sesiones",
"palette.empty": "No se encontraron resultados",
"palette.group.commands": "Comandos",
"palette.group.files": "Archivos",
-1
View File
@@ -86,7 +86,6 @@ export const dict = {
"command.session.unshare": "Ne plus partager la session",
"command.session.unshare.description": "Arrêter de partager cette session",
"palette.search.placeholder": "Rechercher des fichiers, des commandes et des sessions",
"palette.search.placeholder.home": "Rechercher des commandes et des sessions",
"palette.empty": "Aucun résultat trouvé",
"palette.group.commands": "Commandes",
"palette.group.files": "Fichiers",
-1
View File
@@ -86,7 +86,6 @@ export const dict = {
"command.session.unshare": "セッションの共有を停止",
"command.session.unshare.description": "このセッションの共有を停止",
"palette.search.placeholder": "ファイル、コマンド、セッションを検索",
"palette.search.placeholder.home": "コマンドとセッションを検索",
"palette.empty": "結果が見つかりません",
"palette.group.commands": "コマンド",
"palette.group.files": "ファイル",
-1
View File
@@ -82,7 +82,6 @@ export const dict = {
"command.session.unshare": "세션 공유 중지",
"command.session.unshare.description": "이 세션 공유 중지",
"palette.search.placeholder": "파일, 명령어 및 세션 검색",
"palette.search.placeholder.home": "명령어 및 세션 검색",
"palette.empty": "결과 없음",
"palette.group.commands": "명령어",
"palette.group.files": "파일",
-1
View File
@@ -92,7 +92,6 @@ export const dict = {
"command.session.unshare.description": "Slutt å dele denne sesjonen",
"palette.search.placeholder": "Søk i filer, kommandoer og sesjoner",
"palette.search.placeholder.home": "Søk i kommandoer og sesjoner",
"palette.empty": "Ingen resultater funnet",
"palette.group.commands": "Kommandoer",
"palette.group.files": "Filer",
-1
View File
@@ -86,7 +86,6 @@ export const dict = {
"command.session.unshare": "Przestań udostępniać sesję",
"command.session.unshare.description": "Zatrzymaj udostępnianie tej sesji",
"palette.search.placeholder": "Szukaj plików, poleceń i sesji",
"palette.search.placeholder.home": "Szukaj poleceń i sesji",
"palette.empty": "Brak wyników",
"palette.group.commands": "Polecenia",
"palette.group.files": "Pliki",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "Прекратить публикацию сессии",
"palette.search.placeholder": "Поиск файлов, команд и сессий",
"palette.search.placeholder.home": "Поиск команд и сессий",
"palette.empty": "Ничего не найдено",
"palette.group.commands": "Команды",
"palette.group.files": "Файлы",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "หยุดการแชร์เซสชันนี้",
"palette.search.placeholder": "ค้นหาไฟล์ คำสั่ง และเซสชัน",
"palette.search.placeholder.home": "ค้นหาคำสั่งและเซสชัน",
"palette.empty": "ไม่พบผลลัพธ์",
"palette.group.commands": "คำสั่ง",
"palette.group.files": "ไฟล์",
-1
View File
@@ -97,7 +97,6 @@ export const dict = {
"command.session.unshare.description": "Bu oturumun paylaşımını durdur",
"palette.search.placeholder": "Dosya, komut ve oturum ara",
"palette.search.placeholder.home": "Komut ve oturum ara",
"palette.empty": "Sonuç bulunamadı",
"palette.group.commands": "Komutlar",
"palette.group.files": "Dosyalar",
-1
View File
@@ -93,7 +93,6 @@ export const dict = {
"command.session.unshare.description": "Припинити поширення цієї сесії",
"palette.search.placeholder": "Пошук файлів, команд і сесій",
"palette.search.placeholder.home": "Пошук команд і сесій",
"palette.empty": "Результатів не знайдено",
"palette.group.commands": "Команди",
"palette.group.files": "Файли",
-1
View File
@@ -120,7 +120,6 @@ export const dict = {
"command.session.unshare.description": "停止分享此会话",
"palette.search.placeholder": "搜索文件、命令和会话",
"palette.search.placeholder.home": "搜索命令和会话",
"palette.empty": "未找到结果",
"palette.group.commands": "命令",
"palette.group.files": "文件",
-1
View File
@@ -97,7 +97,6 @@ export const dict = {
"command.session.unshare.description": "停止分享此工作階段",
"palette.search.placeholder": "搜尋檔案、命令和工作階段",
"palette.search.placeholder.home": "搜尋命令和工作階段",
"palette.empty": "找不到結果",
"palette.group.commands": "命令",
"palette.group.files": "檔案",
+119 -212
View File
@@ -5,7 +5,6 @@ import {
createMemo,
createResource,
createRoot,
createSignal,
For,
Match,
on,
@@ -75,23 +74,6 @@ const HOME_SESSION_LIMIT = 64
const HOME_SESSION_HEADER_STICKY_TOP = 12
const HOME_SESSION_HEADER_TEXT_HEIGHT = 16
const HOME_SESSION_HEADER_FADE_DISTANCE = 16
function containHomeWheel(event: WheelEvent, viewport: HTMLElement) {
if (event.defaultPrevented || event.ctrlKey || !event.deltaY) return
if (!(event.target instanceof Element)) return
const scrollable = event.target.closest<HTMLElement>("[data-scrollable]")
if (
scrollable !== viewport &&
scrollable &&
(event.deltaY < 0
? scrollable.scrollTop > 0
: scrollable.scrollTop < scrollable.scrollHeight - scrollable.clientHeight)
)
return
event.preventDefault()
}
const SHOW_HOME_SESSION_ARCHIVE = false
const HOME_ROW_LAYOUT =
"flex min-w-0 w-full shrink-0 cursor-default items-center rounded-[6px] bg-transparent text-left transition-[background-color,color,box-shadow] duration-[120ms] ease-in-out focus-visible:outline-none"
@@ -162,7 +144,6 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {
let content: HTMLDivElement | undefined
let positionFrame: number | undefined
let resizeObserver: ResizeObserver | undefined
let stickyTop = HOME_SESSION_HEADER_STICKY_TOP
const headerRefs = new Map<HomeSessionGroup["id"], HTMLDivElement>()
const headerOffsets = new Map<HomeSessionGroup["id"], number>()
const [state, setState] = createStore({
@@ -221,13 +202,6 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {
function updatePositionCache() {
if (!viewport) return
const header = groups()
.map((group) => headerRefs.get(group.id))
.find((el) => el !== undefined)
if (header && typeof getComputedStyle === "function") {
const top = Number.parseFloat(getComputedStyle(header).top)
if (Number.isFinite(top)) stickyTop = top
}
groups().forEach((group) => {
const el = headerRefs.get(group.id)
if (!el) return
@@ -243,7 +217,7 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {
.slice(index + 1)
.map((item) => headerOffsets.get(item.id))
.find((offset) => offset !== undefined)
const fadeEnd = stickyTop + HOME_SESSION_HEADER_TEXT_HEIGHT
const fadeEnd = HOME_SESSION_HEADER_STICKY_TOP + HOME_SESSION_HEADER_TEXT_HEIGHT
const nextTop = nextOffset === undefined ? undefined : nextOffset - scrollTop
const opacity =
nextTop === undefined ? 1 : Math.max(0, Math.min(1, (nextTop - fadeEnd) / HOME_SESSION_HEADER_FADE_DISTANCE))
@@ -297,9 +271,6 @@ export function NewHome() {
const marked = useMarked()
const openSettings = useSettingsCommand()
let focusSessionSearch: (() => void) | undefined
let sessionViewport: HTMLDivElement | undefined
const [sessionThumbTrack, setSessionThumbTrack] = createSignal<HTMLDivElement>()
const [sessionHoverTarget, setSessionHoverTarget] = createSignal<HTMLElement>()
const [state, setState] = createStore({
search: "",
searchFocused: false,
@@ -431,34 +402,6 @@ export function NewHome() {
}
command.register("home", () => [
{
id: "command.palette",
title: language.t("command.palette"),
hidden: true,
onSelect: async () => {
const conn = focusedServer()
if (!conn) return
const ctx = global.ensureServerCtx(conn)
const { DialogHomeCommandPaletteV2 } = await import("@/components/dialog-command-palette-v2")
void dialog.show(() => (
<DialogHomeCommandPaletteV2
server={conn}
onSelectSession={(entry) => {
if (!entry.sessionID || !entry.directory || !entry.server) return
const sessionID = entry.sessionID
const server = entry.server
const directory = entry.project?.worktree ?? entry.directory
ctx.projects.open(directory)
ctx.projects.touch(directory)
void startTransition(() => {
const tab = tabs.addSessionTab({ server, sessionId: sessionID })
tabs.select(tab)
})
}}
/>
))
},
},
{
id: "home.sessions.search.focus",
title: searchPlaceholder(),
@@ -598,158 +541,127 @@ export function NewHome() {
}
return (
<div class="rounded-[10px] shadow-[var(--v2-elevation-raised)] m-2 min-h-0 overflow-hidden bg-v2-background-bg-base self-stretch flex-1">
<ScrollView
class="h-full [container-type:size]"
thumbContainer={sessionThumbTrack}
thumbHoverTarget={sessionHoverTarget}
viewportRef={(el) => {
sessionViewport = el
sessionHeaderOpacity.setViewport(el)
}}
onScroll={(event) => sessionHeaderOpacity.update(event.currentTarget.scrollTop)}
onWheel={(event) => {
if (!sessionViewport) return
if (event.target instanceof Node && sessionViewport.contains(event.target)) return
containHomeWheel(event, sessionViewport)
}}
>
<div class="mx-auto grid min-h-full w-full max-w-[1080px] grid-rows-[auto_minmax(0,1fr)_auto] gap-4 px-3 lg:grid-cols-[280px_minmax(0,720px)] lg:grid-rows-1 lg:gap-8 lg:px-6">
<HomeProjectColumn
projects={projects()}
recentlyClosed={recentlyClosed()}
homedir={homedir()}
selected={selection()}
focusServer={focusServer}
selectProject={selectProject}
openNewSession={openProjectNewSession}
openRecentProject={(conn, directory) => addProjects(conn, [directory])}
chooseProject={(conn) => void chooseProject(conn)}
editProject={editProject}
closeProject={(conn, directory) => {
const next = closeHomeProject(
selection(),
ServerConnection.key(conn),
global.ensureServerCtx(conn).projects,
directory,
)
if (next) setSelection(next)
}}
clearNotifications={clearNotifications}
unseenCount={unseenCount}
openSettings={openSettings}
openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
language={language}
onWheel={(event) => {
if (sessionViewport) containHomeWheel(event, sessionViewport)
}}
/>
<div class="rounded-[10px] shadow-[var(--v2-elevation-raised)] m-2 min-h-0 lg:overflow-hidden bg-v2-background-bg-base self-stretch flex-1">
<div class="mx-auto grid h-full w-full max-w-[1080px] grid-rows-[auto_minmax(0,1fr)_auto] gap-4 px-3 lg:grid-cols-[280px_minmax(0,720px)] lg:grid-rows-1 lg:gap-8 lg:px-6">
<HomeProjectColumn
projects={projects()}
recentlyClosed={recentlyClosed()}
homedir={homedir()}
selected={selection()}
focusServer={focusServer}
selectProject={selectProject}
openNewSession={openProjectNewSession}
openRecentProject={(conn, directory) => addProjects(conn, [directory])}
chooseProject={(conn) => void chooseProject(conn)}
editProject={editProject}
closeProject={(conn, directory) => {
const next = closeHomeProject(
selection(),
ServerConnection.key(conn),
global.ensureServerCtx(conn).projects,
directory,
)
if (next) setSelection(next)
}}
clearNotifications={clearNotifications}
unseenCount={unseenCount}
openSettings={openSettings}
openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
language={language}
/>
<section
ref={setSessionHoverTarget}
class="min-h-0 min-w-0 flex-1 flex flex-col"
aria-label={language.t("sidebar.project.recentSessions")}
<section
class="min-h-0 min-w-0 flex-1 flex flex-col pt-6 lg:pt-12 relative"
aria-label={language.t("sidebar.project.recentSessions")}
>
<HomeSessionSearch
value={state.search}
placeholder={searchPlaceholder()}
open={searchOpen()}
loading={sessionLoad.isLoading}
results={searchResults()}
showProjectName={!selectedProject()}
server={selection().server}
noResultsLabel={language.t("home.sessions.search.noResults", { query: search() })}
bindFocus={(focus) => {
focusSessionSearch = focus
}}
onInput={(value) => setState("search", value)}
onFocus={() => setState("searchFocused", true)}
onClose={closeSearch}
onSelect={selectSearchSession}
/>
<ScrollView
class="mt-3 -mr-3 min-h-0 flex-1 relative"
viewportRef={sessionHeaderOpacity.setViewport}
onScroll={(event) => sessionHeaderOpacity.update(event.currentTarget.scrollTop)}
>
<div
class="sticky top-0 z-30 shrink-0 bg-v2-background-bg-base pb-3 pt-6 lg:pt-12"
onWheel={(event) => {
if (sessionViewport) containHomeWheel(event, sessionViewport)
}}
<Show when={groups().length > 0 && newSessionProject()}>
<div class="pointer-events-none absolute top-3 right-3 z-20 flex">
<ButtonV2
data-action="home-new-session"
variant="ghost-muted"
size="normal"
icon="edit"
class="pointer-events-auto h-7 px-2 [font-weight:530]"
onClick={openNewSession}
>
{language.t("command.session.new")}
</ButtonV2>
</div>
</Show>
<Show
when={!sessionLoad.isLoading}
fallback={
<div class="pt-3">
<HomeSessionSkeleton label={language.t("common.loading")} />
</div>
}
>
<HomeSessionSearch
value={state.search}
placeholder={searchPlaceholder()}
open={searchOpen()}
loading={sessionLoad.isLoading}
results={searchResults()}
showProjectName={!selectedProject()}
server={selection().server}
noResultsLabel={language.t("home.sessions.search.noResults", { query: search() })}
bindFocus={(focus) => {
focusSessionSearch = focus
}}
onInput={(value) => setState("search", value)}
onFocus={() => setState("searchFocused", true)}
onClose={closeSearch}
onSelect={selectSearchSession}
/>
<Show when={groups().length > 0 && newSessionProject()}>
<div class="pointer-events-none absolute right-0 top-[84px] z-20 flex lg:top-[108px]">
<ButtonV2
data-action="home-new-session"
variant="ghost-muted"
size="normal"
icon="edit"
class="pointer-events-auto h-7 px-2 [font-weight:530]"
onClick={openNewSession}
>
{language.t("command.session.new")}
</ButtonV2>
<Show
when={groups().length > 0}
fallback={<HomeSessionsEmpty onNewSession={newSessionProject() ? openNewSession : undefined} />}
>
<div ref={sessionHeaderOpacity.setContentRef} class="flex flex-col pt-3 pr-3 pb-16">
<For each={groups()}>
{(group, index) => (
<>
<HomeSessionGroupHeader
title={group.title}
titleOpacity={sessionHeaderOpacity.titleOpacity(group.id)}
ref={(el) => sessionHeaderOpacity.setHeaderRef(group.id, el)}
elevated={index() === 0}
/>
<div
class={`flex min-w-0 flex-col gap-px pt-4 ${index() === groups().length - 1 ? "" : "mb-6"}`}
>
<For each={group.sessions}>
{(record) => (
<HomeSessionRow
record={record}
showProjectName={!selectedProject()}
server={selection().server}
openSession={openSession}
archiveSession={archiveSession}
/>
)}
</For>
</div>
</>
)}
</For>
</div>
</Show>
</div>
{/* Sticky chrome for the portaled session scrollbar — matches old sessions ScrollView bounds */}
<div class="pointer-events-none sticky top-[84px] z-40 h-0 -mr-3 lg:top-[108px]">
<div
ref={setSessionThumbTrack}
data-component="home-session-scroll-track"
class="relative ml-auto h-[calc(100cqh-84px)] w-3 lg:h-[calc(100cqh-108px)]"
/>
</div>
<div class="-mr-3 min-h-[calc(100cqh-72px)] lg:min-h-[calc(100cqh-96px)]">
<Show
when={!sessionLoad.isLoading}
fallback={
<div class="pt-3">
<HomeSessionSkeleton label={language.t("common.loading")} />
</div>
}
>
<Show
when={groups().length > 0}
fallback={<HomeSessionsEmpty onNewSession={newSessionProject() ? openNewSession : undefined} />}
>
<div ref={sessionHeaderOpacity.setContentRef} class="flex flex-col pt-3 pr-3 pb-16">
<For each={groups()}>
{(group, index) => (
<>
<HomeSessionGroupHeader
title={group.title}
titleOpacity={sessionHeaderOpacity.titleOpacity(group.id)}
ref={(el) => sessionHeaderOpacity.setHeaderRef(group.id, el)}
elevated={index() === 0}
/>
<div
class={`flex min-w-0 flex-col gap-px pt-4 ${index() === groups().length - 1 ? "" : "mb-6"}`}
>
<For each={group.sessions}>
{(record) => (
<HomeSessionRow
record={record}
showProjectName={!selectedProject()}
server={selection().server}
openSession={openSession}
archiveSession={archiveSession}
/>
)}
</For>
</div>
</>
)}
</For>
</div>
</Show>
</Show>
</div>
</section>
<HomeUtilityNav
class="flex lg:hidden"
openSettings={openSettings}
openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
language={language}
/>
</div>
</ScrollView>
</Show>
</ScrollView>
</section>
<HomeUtilityNav
class="flex lg:hidden"
openSettings={openSettings}
openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
language={language}
/>
</div>
</div>
)
}
@@ -771,7 +683,6 @@ function HomeProjectColumn(props: {
openSettings: () => void
openHelp: () => void
language: ReturnType<typeof useLanguage>
onWheel: (event: WheelEvent) => void
}) {
const global = useGlobal()
const dialog = useDialog()
@@ -788,12 +699,8 @@ function HomeProjectColumn(props: {
return (
<aside
class="mt-6 flex min-h-0 min-w-0 flex-col gap-4 overflow-hidden lg:sticky lg:top-14 lg:mt-14 lg:h-[calc(100cqh-56px)] lg:self-start lg:pt-[52px]"
class="mt-6 flex min-h-0 min-w-0 flex-col gap-4 overflow-hidden lg:mt-14 lg:pt-[52px]"
aria-label={props.language.t("home.projects")}
onWheel={(event) => {
if (event.target === event.currentTarget) return
props.onWheel(event)
}}
>
<div class="flex h-7 min-w-0 shrink-0 items-center justify-between pl-1.5 pr-3">
<div class="text-v2-text-text-muted [font-weight:530]">{props.language.t("home.projects")}</div>
@@ -1511,7 +1418,7 @@ function HomeSessionGroupHeader(props: {
return (
<div
ref={props.ref}
class={`pointer-events-none sticky top-[84px] lg:top-[108px] flex h-7 min-w-0 items-center justify-between pl-3 bg-v2-background-bg-base ${props.elevated ? "home-session-group-header z-[5]" : "z-10"}`}
class={`pointer-events-none sticky top-3 flex h-7 min-w-0 items-center justify-between pl-3 bg-v2-background-bg-base ${props.elevated ? "home-session-group-header z-[5]" : "z-10"}`}
>
<div class={HOME_SECTION_LABEL} style={{ opacity: props.titleOpacity }}>
{props.title}
+2 -1
View File
@@ -1,7 +1,7 @@
import { createEffect, Suspense, type ParentProps } from "solid-js"
import { useNavigate } from "@solidjs/router"
import { DebugBar } from "@/components/debug-bar"
import { TabsInfoPopup } from "@/components/help-button"
import { HelpButton, TabsInfoPopup } from "@/components/help-button"
import { Titlebar, type TitlebarUpdate } from "@/components/titlebar"
import { usePlatform } from "@/context/platform"
import { setNavigate } from "@/utils/notification-click"
@@ -38,6 +38,7 @@ export default function NewLayout(props: ParentProps) {
</main>
{import.meta.env.DEV && <DebugBar inline />}
<TabsInfoPopup />
<HelpButton />
<ToastRegion v2 />
</div>
)
+2 -1
View File
@@ -54,7 +54,7 @@ import { useTheme, type ColorScheme } from "@opencode-ai/ui/theme/context"
import { useCommand, type CommandOption } from "@/context/command"
import { ConstrainDragXAxis, getDraggableId } from "@/utils/solid-dnd"
import { DebugBar } from "@/components/debug-bar"
import { TabsInfoPopup } from "@/components/help-button"
import { HelpButton, TabsInfoPopup } from "@/components/help-button"
import { Titlebar, type TitlebarUpdate } from "@/components/titlebar"
import { useDirectoryPicker } from "@/components/directory-picker"
import { ServerConnection, useServer } from "@/context/server"
@@ -2396,6 +2396,7 @@ export default function LegacyLayout(props: ParentProps) {
{import.meta.env.DEV && import.meta.env.VITE_DISABLE_DEBUG_BAR !== "1" && <DebugBar />}
</div>
<TabsInfoPopup />
<HelpButton />
<ToastRegion v2={false} />
</div>
)
-11
View File
@@ -3,7 +3,6 @@ import { createStore } from "solid-js/store"
import { Portal } from "solid-js/web"
import { useSearchParams } from "@solidjs/router"
import { Tooltip } from "@opencode-ai/ui/tooltip"
import { useDialog } from "@opencode-ai/ui/context/dialog"
import { Icon as IconV2 } from "@opencode-ai/ui/v2/icon"
import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
import { NewSessionDesignView } from "@/components/session"
@@ -52,7 +51,6 @@ export default function NewSessionPage() {
const comments = useComments()
const language = useLanguage()
const settings = useSettings()
const dialog = useDialog()
const command = useCommand()
const providers = useProviders(() => sdk().directory)
const openProviderSettings = useSettingsDialog("providers")
@@ -79,15 +77,6 @@ export default function NewSessionPage() {
})
command.register("new-session", () => [
{
id: "command.palette",
title: language.t("command.palette"),
hidden: true,
onSelect: async () => {
const { DialogSelectFile } = await import("@/components/dialog-select-file")
void dialog.show(() => <DialogSelectFile />)
},
},
{
id: "input.focus",
title: language.t("command.input.focus"),
-10
View File
@@ -41,7 +41,6 @@ import { useLocation, useNavigate, useParams, useSearchParams } from "@solidjs/r
import { NewSessionView, SessionHeader } from "@/components/session"
import { ErrorPage } from "@/pages/error"
import { CommentsProvider, useComments } from "@/context/comments"
import { useCommand } from "@/context/command"
import { DirectoryDataProvider } from "@/pages/directory-layout"
import { useServerSync } from "@/context/server-sync"
import { useLanguage } from "@/context/language"
@@ -363,7 +362,6 @@ export default function Page() {
const platform = usePlatform()
const prompt = usePrompt()
const comments = useComments()
const command = useCommand()
const terminal = useTerminal()
const [searchParams, setSearchParams] = useSearchParams<{ prompt?: string }>()
const location = useLocation()
@@ -1100,14 +1098,6 @@ export default function Page() {
review: reviewTab,
fileBrowser: () => newSessionDesign() && isDesktop() && !!params.id,
})
command.register("session-palette", () => [
{
id: "command.palette",
title: language.t("command.palette"),
hidden: true,
onSelect: () => command.trigger("file.open", "palette"),
},
])
const openReviewFile = createOpenReviewFile({
showAllFiles,
@@ -41,7 +41,7 @@ export function createPromptInputController(input: {
options: local.agent.list().map((agent) => agent.name),
current: local.agent.current()?.name ?? "",
loading: agentsQuery.isLoading,
visible: local.agent.visible(),
visible: settings.visibility.customAgents(),
select: local.agent.set,
},
model: {
@@ -1,6 +1,7 @@
import { useCommand, type CommandOption } from "@/context/command"
import { useLanguage } from "@/context/language"
import { useLocal, type ModelSelection } from "@/context/local"
import { useSettings } from "@/context/settings"
import { useDialog } from "@opencode-ai/ui/context/dialog"
import { getCursorPosition, setCursorPosition } from "@/components/prompt-input/editor-dom"
import { useSessionLayout } from "./session-layout"
@@ -18,6 +19,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
const dialog = useDialog()
const language = useLanguage()
const local = useLocal()
const settings = useSettings()
const { sessionKey } = useSessionLayout()
const sessionOwnership = createSessionOwnership(sessionKey)
const model = input.model ?? local.model
@@ -68,7 +70,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
description: language.t("command.agent.cycle.description"),
keybind: "mod+.",
slash: "agent",
disabled: !local.agent.visible(),
disabled: !settings.visibility.customAgents(),
onSelect: () => local.agent.move(1),
}),
agentCommand({
@@ -76,7 +78,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
title: language.t("command.agent.cycle.reverse"),
description: language.t("command.agent.cycle.reverse.description"),
keybind: "shift+mod+.",
disabled: !local.agent.visible(),
disabled: !settings.visibility.customAgents(),
onSelect: () => local.agent.move(-1),
}),
])
@@ -468,7 +468,7 @@ export const useSessionCommands = (actions: SessionCommandContext) => {
id: "file.open",
title: language.t("command.file.open"),
description: language.t("palette.search.placeholder"),
keybind: "mod+p",
keybind: "mod+k,mod+p",
slash: "open",
onSelect: openFile,
}),
@@ -1,76 +0,0 @@
import { describe, expect, test } from "bun:test"
import type { GlobalSession, Project } from "@opencode-ai/sdk/v2/client"
import { createRoot } from "solid-js"
import { createServerSessionEntries } from "@/components/command-palette"
import type { LocalProject } from "@/context/layout"
import { ServerConnection } from "@/context/server"
import { getProjectAvatarSource } from "@/pages/layout/helpers"
const stored: Project = {
id: "project-1",
name: "Palette project",
worktree: "/workspace/project",
sandboxes: [],
time: { created: 1, updated: 1 },
}
const session: GlobalSession = {
id: "session-1",
slug: "session-1",
projectID: stored.id,
directory: stored.worktree,
title: "Palette session",
version: "1",
time: { created: 1, updated: 2 },
project: { id: stored.id, name: stored.name, worktree: stored.worktree },
}
describe("command palette sessions", () => {
test("uses the home project avatar and cancels superseded searches", async () => {
const server = ServerConnection.Key.make("selected-server")
const opened: LocalProject = {
...stored,
icon: { override: "home-project-avatar" },
expanded: true,
}
const searches: string[] = []
const result = await new Promise<Awaited<ReturnType<ReturnType<typeof createServerSessionEntries>>>>(
(resolve, reject) => {
createRoot((dispose) => {
const search = createServerSessionEntries({
server,
opened: () => [opened],
stored: () => [{ ...stored, icon: { url: "stored-project-avatar" } }],
load: async (text) => {
searches.push(text)
return {
data: [session, { ...session, id: "archived-session", time: { ...session.time, archived: 3 } }],
}
},
untitled: () => "Untitled",
category: () => "Sessions",
})
const first = search("palette")
const second = search("palette session")
Promise.all([first, second])
.then(([cancelled, entries]) => {
expect(cancelled).toEqual([])
resolve(entries)
})
.catch(reject)
.finally(dispose)
})
},
)
expect(searches).toEqual(["palette session"])
expect(result).toHaveLength(1)
expect(getProjectAvatarSource(result[0]?.project?.id, result[0]?.project?.icon)).toBe("home-project-avatar")
expect(result[0]).toMatchObject({
server,
sessionID: session.id,
description: stored.name,
project: { id: stored.id, icon: opened.icon },
})
})
})
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/cli",
"version": "1.18.3",
"version": "1.18.2",
"type": "module",
"license": "MIT",
"bin": {
+2 -4
View File
@@ -170,10 +170,8 @@ async function resolveTargetNode(target: NodeTarget, host?: string) {
await rm(temporary, { recursive: true, force: true })
await mkdir(temporary)
if (target.platform !== "win32") run("tar", ["-xzf", archive, "-C", temporary])
if (target.platform === "win32" && process.platform === "win32") {
run(path.join(process.env.SystemRoot ?? "C:\\Windows", "System32", "tar.exe"), ["-xf", archive, "-C", temporary])
}
if (target.platform === "win32" && process.platform !== "win32") run("unzip", ["-q", archive, "-d", temporary])
else if (process.platform === "win32") run("tar", ["-xf", archive, "-C", temporary])
else run("unzip", ["-q", archive, "-d", temporary])
await rm(targetDirectory, { recursive: true, force: true })
await rename(path.join(temporary, archiveName), targetDirectory)
await writeFile(path.join(targetDirectory, ".verified"), `${expected}\n`)
-161
View File
@@ -1,161 +0,0 @@
#!/usr/bin/env node
import childProcess from "node:child_process"
import fs from "node:fs"
import os from "node:os"
import path from "node:path"
import { createRequire } from "node:module"
import { fileURLToPath } from "node:url"
const directory = path.dirname(fileURLToPath(import.meta.url))
const require = createRequire(import.meta.url)
const packageJson = JSON.parse(fs.readFileSync(path.join(directory, "package.json"), "utf8"))
const command = Object.keys(packageJson.bin ?? {})[0]
if (!command) throw new Error("OpenCode package does not declare a binary")
const platform = { darwin: "darwin", linux: "linux", win32: "windows" }[os.platform()] ?? os.platform()
const arch = { x64: "x64", arm64: "arm64", arm: "arm" }[os.arch()] ?? os.arch()
const sourceBinary = platform === "windows" ? `${command}.exe` : command
const targetBinary = path.resolve(directory, packageJson.bin[command])
const dependencies = packageJson.optionalDependencies ?? {}
const base = Object.keys(dependencies).find((name) => name.endsWith(`-${platform}-${arch}`))
if (!base) throw new Error(`OpenCode does not provide a binary for ${platform}-${arch}`)
function supportsAvx2() {
if (arch !== "x64") return false
if (platform === "linux") {
try {
return /(^|\s)avx2(\s|$)/i.test(fs.readFileSync("/proc/cpuinfo", "utf8"))
} catch {
return false
}
}
if (platform === "darwin") {
try {
const result = childProcess.spawnSync("sysctl", ["-n", "hw.optional.avx2_0"], {
encoding: "utf8",
timeout: 1500,
})
return result.status === 0 && (result.stdout || "").trim() === "1"
} catch {
return false
}
}
if (platform === "windows") {
const script =
'(Add-Type -MemberDefinition "[DllImport(""kernel32.dll"")] public static extern bool IsProcessorFeaturePresent(int ProcessorFeature);" -Name Kernel32 -Namespace Win32 -PassThru)::IsProcessorFeaturePresent(40)'
for (const executable of ["powershell.exe", "pwsh.exe", "pwsh", "powershell"]) {
try {
const result = childProcess.spawnSync(executable, ["-NoProfile", "-NonInteractive", "-Command", script], {
encoding: "utf8",
timeout: 3000,
windowsHide: true,
})
if (result.status !== 0) continue
const output = (result.stdout || "").trim().toLowerCase()
if (output === "true" || output === "1") return true
if (output === "false" || output === "0") return false
} catch {
continue
}
}
}
return false
}
function isMusl() {
if (platform !== "linux") return false
try {
if (fs.existsSync("/etc/alpine-release")) return true
const result = childProcess.spawnSync("ldd", ["--version"], { encoding: "utf8" })
return `${result.stdout || ""}${result.stderr || ""}`.toLowerCase().includes("musl")
} catch {
return false
}
}
function packageNames() {
const baseline = arch === "x64" && !supportsAvx2()
const names =
platform === "linux"
? isMusl()
? arch === "x64"
? baseline
? [`${base}-baseline-musl`, `${base}-musl`, `${base}-baseline`, base]
: [`${base}-musl`, `${base}-baseline-musl`, base, `${base}-baseline`]
: [`${base}-musl`, base]
: arch === "x64"
? baseline
? [`${base}-baseline`, base, `${base}-baseline-musl`, `${base}-musl`]
: [base, `${base}-baseline`, `${base}-musl`, `${base}-baseline-musl`]
: [base, `${base}-musl`]
: arch === "x64"
? baseline
? [`${base}-baseline`, base]
: [base, `${base}-baseline`]
: [base]
return names.filter((name) => dependencies[name])
}
function copyBinary(source) {
if (!fs.existsSync(source)) throw new Error(`Binary not found at ${source}`)
fs.mkdirSync(path.dirname(targetBinary), { recursive: true })
if (fs.existsSync(targetBinary)) fs.unlinkSync(targetBinary)
try {
fs.linkSync(source, targetBinary)
} catch {
fs.copyFileSync(source, targetBinary)
}
fs.chmodSync(targetBinary, 0o755)
}
function resolveBinary(name) {
const packagePath = require.resolve(`${name}/package.json`)
return path.join(path.dirname(packagePath), "bin", sourceBinary)
}
function installPackage(name) {
const temp = fs.mkdtempSync(path.join(os.tmpdir(), "opencode-install-"))
try {
const result = childProcess.spawnSync(
"npm",
["install", "--ignore-scripts", "--no-save", "--loglevel=error", "--prefix", temp, `${name}@${dependencies[name]}`],
{ stdio: "inherit", windowsHide: true },
)
if (result.status !== 0) return false
copyBinary(path.join(temp, "node_modules", name, "bin", sourceBinary))
return true
} finally {
fs.rmSync(temp, { recursive: true, force: true })
}
}
function verifyBinary() {
return (
childProcess.spawnSync(targetBinary, ["--version"], {
stdio: "ignore",
windowsHide: true,
}).status === 0
)
}
function main() {
const names = packageNames()
for (const name of names) {
try {
copyBinary(resolveBinary(name))
if (verifyBinary()) return
} catch {
if (installPackage(name) && verifyBinary()) return
}
}
throw new Error(`Failed to install OpenCode. Try manually installing ${names.map((name) => JSON.stringify(name)).join(" or ")}.`)
}
try {
main()
} catch (error) {
console.error(error instanceof Error ? error.message : String(error))
process.exit(1)
}
+3 -14
View File
@@ -32,23 +32,12 @@ async function publishDistribution(input: { root: string; name: string; binary:
if (!version) throw new Error(`No binary packages found for ${input.name}`)
await $`mkdir -p ${input.root}/${input.name}/bin`
await $`cp ./script/postinstall.mjs ${input.root}/${input.name}/postinstall.mjs`
await Bun.file(`${input.root}/${input.name}/bin/${input.binary}.exe`).write(
[
`echo "Error: ${input.name}'s postinstall script was not run." >&2`,
'echo "" >&2',
'echo "This occurs when installation scripts are disabled." >&2',
'echo "Run the package postinstall script or reinstall with scripts enabled." >&2',
"exit 1",
"",
].join("\n"),
)
await $`cp ./bin/opencode2.cjs ${input.root}/${input.name}/bin/${input.binary}`
await Bun.file(`${input.root}/${input.name}/package.json`).write(
JSON.stringify(
{
name: input.name,
bin: { [input.binary]: `./bin/${input.binary}.exe` },
scripts: { postinstall: "node ./postinstall.mjs" },
bin: { [input.binary]: `./bin/${input.binary}` },
version,
license: pkg.license,
repository: { type: "git", url: "git+https://github.com/anomalyco/opencode.git" },
@@ -77,7 +66,7 @@ await publishDistribution({
})
await publishDistribution({
root: "./dist/node",
name: "opencode-node",
name: "opencode2-node",
binary: "opencode2-node",
packagePrefix: "@opencode-ai/cli-node-",
})
-4
View File
@@ -114,10 +114,6 @@ export const Commands = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCO
}),
],
}),
Spec.make("plugin", {
description: "Manage plugins",
commands: [Spec.make("list", { description: "List active plugins" })],
}),
Spec.make("migrate", { description: "Migrate v1 data to v2" }),
Spec.make("mini", {
description: "Start the minimal interactive interface",
@@ -1,4 +1,4 @@
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { Global } from "@opencode-ai/core/global"
import { run } from "@opencode-ai/tui"
import { Commands } from "../commands"
@@ -75,6 +75,6 @@ export default Runtime.handler(Commands, (input) =>
: Effect.logInfo(message, tags)
runFork(effect)
},
}).pipe(Effect.provide(LayerNode.compile(Global.node)))
}).pipe(Effect.provide(AppNodeBuilder.build(Global.node)))
}),
)
@@ -1,24 +0,0 @@
import { EOL } from "node:os"
import { Effect } from "effect"
import { OpenCode } from "@opencode-ai/client"
import { Service } from "@opencode-ai/client/effect/service"
import { Commands } from "../../commands"
import { Runtime } from "../../../framework/runtime"
import { ServiceConfig } from "../../../services/service-config"
export default Runtime.handler(
Commands.commands.plugin.commands.list,
Effect.fn("cli.plugin.list")(function* () {
const options = yield* ServiceConfig.options()
const found = yield* Service.discover(options)
const endpoint = found ?? (yield* Service.ensure(options))
const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))
const plugins = response.data.toSorted((a, b) => a.id.localeCompare(b.id))
if (plugins.length === 0) {
process.stdout.write("No plugins loaded" + EOL)
return
}
process.stdout.write(plugins.map((plugin) => plugin.id).join(EOL) + EOL)
}),
)
+1 -1
View File
@@ -5,7 +5,7 @@ import { ServerProcess } from "../../server-process"
export default Runtime.handler(
Commands.commands.serve,
Effect.fnUntraced(function* (input) {
Effect.fn("cli.serve")(function* (input) {
if (input.service && input.stdio) return yield* Effect.fail(new Error("--service and --stdio cannot be combined"))
return yield* ServerProcess.run({
mode: input.service ? "service" : input.stdio ? "stdio" : "default",
+2 -4
View File
@@ -7,6 +7,7 @@ import { Runtime } from "./framework/runtime"
import { Observability } from "@opencode-ai/core/observability"
import { Updater } from "./services/updater"
import { InstallationChannel, InstallationVersion, InstallationLocal } from "@opencode-ai/core/installation/version"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { Global } from "@opencode-ai/core/global"
import { AppProcess } from "@opencode-ai/core/process"
@@ -31,9 +32,6 @@ const Handlers = Runtime.handlers(Commands, {
auth: () => import("./commands/handlers/mcp/auth"),
logout: () => import("./commands/handlers/mcp/logout"),
},
plugin: {
list: () => import("./commands/handlers/plugin/list"),
},
migrate: () => import("./commands/handlers/migrate"),
mini: () => import("./commands/handlers/mini"),
run: () => import("./commands/handlers/run"),
@@ -60,7 +58,7 @@ Effect.logInfo("cli starting", {
Effect.annotateLogs({ role: "cli" }),
Effect.provide(Config.layer),
Effect.provide(Updater.layer),
Effect.provide(LayerNode.compile(LayerNode.group([Global.node, AppProcess.node, Npm.node]))),
Effect.provide(AppNodeBuilder.build(LayerNode.group([Global.node, AppProcess.node, Npm.node]))),
Effect.provide(Observability.layer),
Effect.provide(NodeServices.layer),
Effect.scoped,
-6
View File
@@ -633,12 +633,6 @@ export function RunSubagentSelectBody(props: {
return
}
if (event.name.toLowerCase() === "up" && menu.selected() === 0) {
event.preventDefault()
props.onClose()
return
}
handleKey({ event, menu, field: () => field, setQuery, select, close: props.onClose })
})
+64 -45
View File
@@ -24,7 +24,7 @@ import {
movePromptHistory,
pushPromptHistory,
} from "./prompt.shared"
import { Keymap } from "@opencode-ai/tui/context/keymap"
import { OPENCODE_BASE_MODE, useBindings } from "@opencode-ai/tui/keymap"
import { realignEditorPromptParts, resolveEditorSlashValue } from "./prompt.editor"
import { FOOTER_MENU_ROWS, createFooterMenuState, type RunFooterMenuItem } from "./footer.menu"
import type { RunFooterTheme } from "./theme"
@@ -990,83 +990,93 @@ export function createPromptState(input: PromptInput): PromptState {
return true
}
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: baseBindingsEnabled(),
commands: [
{
id: "prompt.clear",
name: "prompt.clear",
title: "Clear prompt or exit",
group: "Prompt",
category: "Prompt",
run() {
if (requestExit()) return
return false
},
},
],
bindings: input.tuiConfig.keybinds.get("prompt.clear"),
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: input.prompt(),
commands: [
{
id: "session.interrupt",
name: "session.interrupt",
title: "Interrupt session",
group: "Session",
category: "Session",
run() {
if (input.onInterrupt()) return
return false
},
},
],
bindings: input.tuiConfig.keybinds.get("session.interrupt"),
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: input.prompt() && !visible(),
commands: [
{
id: "prompt.editor",
name: "prompt.editor",
title: "Open editor",
group: "Prompt",
category: "Prompt",
run() {
void openEditor()
},
},
],
bindings: input.tuiConfig.keybinds.get("prompt.editor"),
}))
Keymap.createLayer(() => ({
useBindings(() => ({
priority: 1,
mode: OPENCODE_BASE_MODE,
enabled: input.prompt() && !visible(),
commands: [
{
id: "prompt.history.previous",
name: "prompt.history.previous",
title: "Previous prompt history",
group: "Prompt",
run(_input: string | undefined, event?: KeyEvent) {
if (!event) return false
return historyCommand(-1, event)
category: "Prompt",
run(ctx: { event: KeyEvent }) {
return historyCommand(-1, ctx.event)
},
},
{
id: "prompt.history.next",
name: "prompt.history.next",
title: "Next prompt history",
group: "Prompt",
run(_input: string | undefined, event?: KeyEvent) {
if (!event) return false
return historyCommand(1, event)
category: "Prompt",
run(ctx: { event: KeyEvent }) {
return historyCommand(1, ctx.event)
},
},
],
bindings: [
...input.tuiConfig.keybinds.get("prompt.history.previous"),
...input.tuiConfig.keybinds.get("prompt.history.next"),
],
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: input.prompt() && !visible(),
commands: [
bindings: [
{
bind: "!",
title: "Shell mode",
key: "!",
desc: "Shell mode",
group: "Prompt",
run() {
cmd() {
if (shell()) return false
if (!area || area.isDestroyed) return false
if (area.cursorOffset !== 0) return false
@@ -1076,20 +1086,21 @@ export function createPromptState(input: PromptInput): PromptState {
],
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: input.prompt() && shell() && !visible(),
commands: [
bindings: [
{
bind: "escape",
title: "Exit shell mode",
key: "escape",
desc: "Exit shell mode",
group: "Prompt",
run: () => setShellMode(false),
cmd: () => setShellMode(false),
},
{
bind: "backspace",
title: "Exit shell mode",
key: "backspace",
desc: "Exit shell mode",
group: "Prompt",
run() {
cmd() {
if (!area || area.isDestroyed) return false
if (area.cursorOffset !== 0) return false
setShellMode(false)
@@ -1098,31 +1109,32 @@ export function createPromptState(input: PromptInput): PromptState {
],
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: input.prompt() && visible(),
commands: [
{
id: "prompt.autocomplete.prev",
name: "prompt.autocomplete.prev",
title: "Previous autocomplete item",
group: "Autocomplete",
category: "Autocomplete",
run: () => menu.move(-1),
},
{
id: "prompt.autocomplete.next",
name: "prompt.autocomplete.next",
title: "Next autocomplete item",
group: "Autocomplete",
category: "Autocomplete",
run: () => menu.move(1),
},
{
id: "prompt.autocomplete.hide",
name: "prompt.autocomplete.hide",
title: "Hide autocomplete",
group: "Autocomplete",
category: "Autocomplete",
run: cancelAutocomplete,
},
{
id: "prompt.autocomplete.select",
name: "prompt.autocomplete.select",
title: "Select autocomplete item",
group: "Autocomplete",
category: "Autocomplete",
run() {
if (mode() === "slash" && options().length === 0) {
hide()
@@ -1132,9 +1144,9 @@ export function createPromptState(input: PromptInput): PromptState {
},
},
{
id: "prompt.autocomplete.complete",
name: "prompt.autocomplete.complete",
title: "Complete autocomplete item",
group: "Autocomplete",
category: "Autocomplete",
run() {
if (mode() === "slash" && options().length === 0) {
hide()
@@ -1149,6 +1161,13 @@ export function createPromptState(input: PromptInput): PromptState {
},
},
],
bindings: [
"prompt.autocomplete.prev",
"prompt.autocomplete.next",
"prompt.autocomplete.hide",
"prompt.autocomplete.select",
"prompt.autocomplete.complete",
].flatMap((command) => input.tuiConfig.keybinds.get(command)),
}))
const onKeyDown = (event: KeyEvent) => {
+6 -4
View File
@@ -24,11 +24,12 @@
// Ctrl-c clears a live prompt draft first; otherwise interrupt and exit use a
// two-press pattern where the first press shows a hint and the second press
// within 5 seconds actually fires the action.
import { CliRenderEvents, type CliRenderer, type TreeSitterClient } from "@opentui/core"
import { CliRenderEvents, type CliRenderer, type KeyEvent, type Renderable, type TreeSitterClient } from "@opentui/core"
import type { Keymap } from "@opentui/keymap"
import { render } from "@opentui/solid"
import { createComponent, createSignal, type Accessor, type Setter } from "solid-js"
import { createStore, reconcile } from "solid-js/store"
import { Keymap } from "@opencode-ai/tui/context/keymap"
import { OpencodeKeymapProvider } from "@opencode-ai/tui/keymap"
import { RUN_COMMAND_PANEL_ROWS, RUN_SUBAGENT_PANEL_ROWS } from "./footer.command"
import { SUBAGENT_INSPECTOR_ROWS } from "./footer.subagent"
import { PROMPT_MAX_ROWS, TEXTAREA_MIN_ROWS } from "./footer.prompt"
@@ -81,6 +82,7 @@ type RunFooterOptions = {
first: boolean
history?: RunPrompt[]
theme: RunTheme
keymap: Keymap<Renderable, KeyEvent>
tuiConfig: RunTuiConfig
diffStyle: RunDiffStyle
onPermissionReply: (input: PermissionReply) => void | Promise<void>
@@ -303,8 +305,8 @@ export class RunFooter implements FooterApi {
const footer = this
void render(
() =>
createComponent(Keymap.Provider, {
config: options.tuiConfig,
createComponent(OpencodeKeymapProvider, {
keymap: options.keymap,
get children() {
return createComponent(RunFooterView, {
directory: options.directory,
+107 -29
View File
@@ -27,8 +27,14 @@ import { RunPromptBody, createPromptState } from "./footer.prompt"
import { RunPermissionBody } from "./footer.permission"
import { RunQuestionBody } from "./footer.question"
import { footerWidthPolicy } from "./footer.width"
import { Keymap } from "@opencode-ai/tui/context/keymap"
import {
OPENCODE_BASE_MODE,
formatKeyBindings,
formatKeySequence,
useBindings,
useKeymapSelector,
type OpenTuiKeymap,
} from "@opencode-ai/tui/keymap"
import type {
FooterPromptRoute,
FooterQueuedPrompt,
@@ -171,15 +177,75 @@ export function RunFooterView(props: RunFooterViewProps) {
const current = route()
return current.type === "subagent" ? subagent().details[current.sessionID] : undefined
})
const shortcuts = Keymap.useShortcuts()
const command = () => shortcuts.get("command.palette.show") ?? ""
const subagentShortcut = () => shortcuts.get("session.child.first") ?? ""
const queuedShortcut = () => shortcuts.get("session.queued_prompts") ?? ""
const backgroundShortcut = () => shortcuts.get("session.background") ?? ""
const subagentInterruptShortcut = () => shortcuts.get("subagent.interrupt") ?? ""
const interrupt = () => shortcuts.get("session.interrupt") ?? ""
const variantCycle = () => shortcuts.all("variant.cycle") ?? ""
const clearShortcut = () => shortcuts.get("prompt.clear") ?? ""
const command = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap
.getCommandBindings({ visibility: "registered", commands: ["command.palette.show"] })
.get("command.palette.show")?.[0]?.sequence,
props.tuiConfig,
) ?? "",
)
const subagentShortcut = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap
.getCommandBindings({ visibility: "registered", commands: ["session.child.first"] })
.get("session.child.first")?.[0]?.sequence,
props.tuiConfig,
) ?? "",
)
const queuedShortcut = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap
.getCommandBindings({ visibility: "registered", commands: ["session.queued_prompts"] })
.get("session.queued_prompts")?.[0]?.sequence,
props.tuiConfig,
) ?? "",
)
const backgroundShortcut = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap
.getCommandBindings({ visibility: "registered", commands: ["session.background"] })
.get("session.background")?.[0]?.sequence,
props.tuiConfig,
) ?? "",
)
const subagentInterruptShortcut = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap
.getCommandBindings({ visibility: "registered", commands: ["subagent.interrupt"] })
.get("subagent.interrupt")?.[0]?.sequence,
props.tuiConfig,
) ?? "",
)
const interrupt = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap
.getCommandBindings({ visibility: "registered", commands: ["session.interrupt"] })
.get("session.interrupt")?.[0]?.sequence,
props.tuiConfig,
) ?? "",
)
const variantCycle = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeyBindings(
keymap.getCommandBindings({ visibility: "registered", commands: ["variant.cycle"] }).get("variant.cycle"),
props.tuiConfig,
) ?? "",
)
const clearShortcut = useKeymapSelector(
(keymap: OpenTuiKeymap) =>
formatKeySequence(
keymap.getCommandBindings({ visibility: "registered", commands: ["prompt.clear"] }).get("prompt.clear")?.[0]
?.sequence,
props.tuiConfig,
) ?? "",
)
const busy = createMemo(() => props.state().phase === "running")
const armed = createMemo(() => props.state().interrupt > 0)
const exiting = createMemo(() => props.state().exit > 0)
@@ -438,62 +504,74 @@ export function RunFooterView(props: RunFooterViewProps) {
props.onRequestExit?.(undefined)
})
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: active().type === "prompt" && route().type === "composer" && !composer.visible(),
commands: [
{
id: "command.palette.show",
name: "command.palette.show",
title: "Open command palette",
group: "Prompt",
category: "Prompt",
run: openCommand,
},
{
id: "variant.cycle",
name: "variant.cycle",
title: "Cycle model variant",
group: "Model",
category: "Model",
run: props.onCycle,
},
],
bindings: [
...props.tuiConfig.keybinds.get("command.palette.show"),
...props.tuiConfig.keybinds.get("variant.cycle"),
],
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: active().type === "prompt" && route().type === "composer" && foregroundSubagents() && !!props.onBackground,
priority: 1,
commands: [
{
id: "session.background",
name: "session.background",
title: "Background subagents",
group: "Session",
category: "Session",
run: () => props.onBackground?.(),
},
],
bindings: props.tuiConfig.keybinds.get("session.background"),
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: active().type === "prompt" && route().type === "composer" && tabs().length > 0,
commands: [
{
id: "session.child.first",
name: "session.child.first",
title: "View subagents",
group: "Session",
category: "Session",
run: openSubagentMenu,
},
],
bindings: props.tuiConfig.keybinds.get("session.child.first"),
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled: active().type === "prompt" && route().type === "composer" && queuedPrompts().length > 0,
commands: [
{
id: "session.queued_prompts",
name: "session.queued_prompts",
title: "Manage queued prompts",
group: "Session",
category: "Session",
run: openQueuedMenu,
},
],
bindings: props.tuiConfig.keybinds.get("session.queued_prompts"),
}))
Keymap.createLayer(() => ({
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
enabled:
active().type === "prompt" &&
route().type === "subagent" &&
@@ -502,10 +580,9 @@ export function RunFooterView(props: RunFooterViewProps) {
priority: 1,
commands: [
{
id: "subagent.interrupt",
name: "subagent.interrupt",
title: "Interrupt subagent",
group: "Session",
bind: "ctrl+d",
category: "Session",
run: () => {
const current = selectedTab()
if (current?.status !== "running") {
@@ -516,6 +593,7 @@ export function RunFooterView(props: RunFooterViewProps) {
},
},
],
bindings: [{ key: "ctrl+d", desc: "Interrupt subagent", group: "Subagents", cmd: "subagent.interrupt" }],
}))
createEffect(() => {
+2 -2
View File
@@ -7,8 +7,8 @@
// none block each other.
import { Context, Effect, Layer } from "effect"
import { resolve } from "@opencode-ai/tui/config/v1"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { makeGlobalNode } from "@opencode-ai/core/effect/app-node"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { makeRuntime } from "@opencode-ai/core/effect/runtime"
import { loadRunProviders } from "./catalog.shared"
import { resolveCurrentSession, sessionHistory } from "./session.shared"
@@ -130,7 +130,7 @@ const layer = Layer.effect(
)
const node = makeGlobalNode({ service: Service, layer, deps: [] })
const runtime = makeRuntime(Service, LayerNode.compile(node))
const runtime = makeRuntime(Service, AppNodeBuilder.build(node))
// Fetches available variants and context limits for every provider/model pair.
export async function resolveModelInfo(
@@ -10,7 +10,9 @@
// back to the usual two-press exit sequence through RunFooter.requestExit().
import path from "path"
import { CliRenderEvents, createCliRenderer, type CliRenderer, type ScrollbackWriter } from "@opentui/core"
import { createDefaultOpenTuiKeymap } from "@opentui/keymap/opentui"
import { Global } from "@opencode-ai/core/global"
import { registerOpencodeKeymap } from "@opencode-ai/tui/keymap"
import { isDefaultTitle } from "@opencode-ai/tui/util/session"
import { Locale } from "@opencode-ai/tui/util/locale"
import { resolveInteractiveStdin } from "./runtime.stdin"
@@ -165,6 +167,8 @@ function queueSplash(
export async function createRuntimeLifecycle(input: LifecycleInput): Promise<Lifecycle> {
const source = resolveInteractiveStdin()
const footerTask = import("./footer")
let unregisterKeymap: (() => void) | undefined
try {
const renderer = await createCliRenderer({
stdin: source.stdin,
@@ -183,6 +187,8 @@ export async function createRuntimeLifecycle(input: LifecycleInput): Promise<Lif
})
const [theme, tuiConfig] = await Promise.all([resolveRunTheme(renderer), input.tuiConfig])
renderer.setBackgroundColor(theme.background)
const keymap = createDefaultOpenTuiKeymap(renderer)
unregisterKeymap = registerOpencodeKeymap(keymap, renderer, tuiConfig)
const state: SplashState = {
entry: false,
exit: false,
@@ -227,6 +233,7 @@ export async function createRuntimeLifecycle(input: LifecycleInput): Promise<Lif
history: input.history,
theme,
wrote,
keymap,
tuiConfig,
diffStyle: tuiConfig.diff_style ?? "auto",
onPermissionReply: input.onPermissionReply,
@@ -326,6 +333,7 @@ export async function createRuntimeLifecycle(input: LifecycleInput): Promise<Lif
footer.close()
await footer.idle().catch(() => {})
footer.destroy()
unregisterKeymap?.()
shutdown(renderer)
if (!wroteExit) {
process.stdout.write("\n")
@@ -383,6 +391,7 @@ export async function createRuntimeLifecycle(input: LifecycleInput): Promise<Lif
close,
}
} catch (error) {
unregisterKeymap?.()
source.cleanup?.()
throw error
}
+2 -1
View File
@@ -8,6 +8,7 @@
// variant and the persisted file.
import path from "path"
import { FSUtil } from "@opencode-ai/core/fs-util"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { Context, Effect, Layer } from "effect"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { makeGlobalNode } from "@opencode-ai/core/effect/app-node"
@@ -202,7 +203,7 @@ const node = makeGlobalNode({ service: Service, layer, deps: [FSUtil.node] })
/** @internal Exported for testing. */
export function createVariantRuntime(replacements?: readonly LayerNode.Replacement[]): VariantRuntime {
const runtime = makeRuntime(Service, LayerNode.compile(node, replacements))
const runtime = makeRuntime(Service, AppNodeBuilder.build(node, replacements))
return {
resolveSavedVariant: (model) => runtime.runPromise((svc) => svc.resolveSavedVariant(model)).catch(() => undefined),
saveVariant: (model, variant) => runtime.runPromise((svc) => svc.saveVariant(model, variant)).catch(() => {}),
+1 -7
View File
@@ -1,9 +1,3 @@
import "./plugin-runtime.promise"
import "./plugin-runtime.effect"
process.stdout.on("error", (error) => {
if ("code" in error && error.code === "EPIPE") return
throw error
})
await import("../index")
import "../index"
+45 -81
View File
@@ -1,11 +1,13 @@
export * as ServerProcess from "./server-process"
import { NodeServices } from "@effect/platform-node"
import { Service, type DiscoverOptions, type Info } from "@opencode-ai/client/effect/service"
import { Service } from "@opencode-ai/client/effect/service"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { Global } from "@opencode-ai/core/global"
import { InstallationVersion } from "@opencode-ai/core/installation/version"
import { AppProcess } from "@opencode-ai/core/process"
import { ProcessLock } from "@opencode-ai/core/util/process-lock"
import { randomBytes, randomUUID } from "node:crypto"
import path from "node:path"
import { Effect, FileSystem, Logger, Option, Redacted, Schedule, Schema } from "effect"
@@ -22,29 +24,27 @@ export type Options = {
readonly port?: number
}
// The process effect lives until server shutdown; tracing it would parent every request to one process-lifetime trace.
export const run = Effect.fnUntraced(function* (options: Options) {
return yield* processEffect(options).pipe(
export const run = Effect.fn("cli.server-process.run")((options: Options) =>
processEffect(options).pipe(
Effect.provide(Updater.layer),
Effect.provide(LayerNode.compile(LayerNode.group([Global.node, AppProcess.node]))),
Effect.provide(AppNodeBuilder.build(LayerNode.group([Global.node, AppProcess.node]))),
Effect.provide(NodeServices.layer),
)
})
),
)
const processEffect = Effect.fnUntraced(function* (options: Options) {
if (options.mode === "service") yield* Effect.sync(() => process.chdir(Global.Path.home))
return yield* Effect.scoped(
Effect.gen(function* () {
const serviceOptions = options.mode === "service" ? yield* ServiceConfig.options() : undefined
const config = options.mode === "service" ? yield* ServiceConfig.read() : {}
const hostname = options.hostname ?? config.hostname ?? "127.0.0.1"
const port = options.port ?? config.port ?? (options.mode === "service" ? ServiceConfig.defaultPort() : undefined)
if (
serviceOptions !== undefined &&
port !== undefined &&
(yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })) !== undefined
)
return
if (serviceOptions !== undefined) {
const acquired = yield* ProcessLock.acquire(serviceOptions.file + ".lock").pipe(
Effect.as(true),
Effect.catchTag("ProcessLockHeldError", () => Effect.succeed(false)),
)
if (!acquired) return yield* Effect.void
if ((yield* Service.discover(serviceOptions)) !== undefined) return yield* Effect.void
}
const { start } = yield* Effect.promise(() => import("@opencode-ai/server/process"))
const environmentPassword = yield* Env.password
// Keep the lease credential out of the environment inherited by tools.
@@ -52,49 +52,25 @@ const processEffect = Effect.fnUntraced(function* (options: Options) {
delete process.env.OPENCODE_PASSWORD
delete process.env.OPENCODE_SERVER_PASSWORD
}
const config = options.mode === "service" ? yield* ServiceConfig.read() : {}
const password =
options.mode === "service"
? config.password || randomBytes(32).toString("base64url")
? yield* ServiceConfig.password()
: environmentPassword
? Redacted.value(environmentPassword)
: randomBytes(32).toString("base64url")
if (!password) return yield* Effect.fail(new Error("Missing server password"))
const instanceID = randomUUID()
const server = yield* start({
hostname,
port: Option.fromNullishOr(port),
hostname: options.hostname ?? config.hostname ?? "127.0.0.1",
port: Option.fromNullishOr(options.port ?? config.port),
password,
instanceID,
service:
serviceOptions === undefined
? undefined
: {
onListen: (address, shutdown) =>
Effect.gen(function* () {
if (!config.password) yield* ServiceConfig.password(password)
return yield* register(address, password, instanceID, serviceOptions.file, shutdown)
}),
},
}).pipe(
Effect.provide(Logger.layer([], { mergeWithExisting: false })),
Effect.catch((error) => {
if (serviceOptions === undefined || port === undefined || !addressInUse(error)) return Effect.fail(error)
return recognizeIncumbent(serviceOptions, hostname, port).pipe(
Effect.flatMap((found) =>
found
? Effect.void
: Effect.fail(
new Error(
`Managed service port ${port} on ${hostname} is already in use by another process. ` +
"Configure another port with `opencode service set port <port>` and start the service again.",
{ cause: error },
),
),
),
)
}),
)
if (server === undefined) return
: { onListen: (address) => register(address, password, instanceID, serviceOptions.file) },
}).pipe(Effect.provide(Logger.layer([], { mergeWithExisting: false })))
const url = HttpServer.formatAddress(server.address)
console.log(options.mode === "stdio" ? JSON.stringify({ url }) : `server listening on ${url}`)
if (options.mode === "default" && !environmentPassword) console.log(`server password ${password}`)
@@ -118,7 +94,6 @@ const register = Effect.fnUntraced(function* (
password: string,
id: string,
file: string,
shutdown: Effect.Effect<void>,
) {
const fs = yield* FileSystem.FileSystem
const temp = file + "." + id + ".tmp"
@@ -131,49 +106,38 @@ const register = Effect.fnUntraced(function* (
password,
}
const encoded = yield* encodeInfo(info)
const publish = fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, file)))
yield* publish
const current = fs.readFileString(file).pipe(
Effect.flatMap(decodeInfo),
Effect.orElseSucceed(() => undefined),
)
const owns = (found: Info | undefined) =>
found?.id === info.id &&
found.version === info.version &&
found.url === info.url &&
found.pid === info.pid &&
found.password === info.password
yield* fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, file)))
yield* current.pipe(
Effect.filterOrFail(owns),
const assertRegistration = Effect.gen(function* () {
const found = yield* current
if (
found !== undefined &&
found.id === info.id &&
found.version === info.version &&
found.url === info.url &&
found.pid === info.pid &&
found.password === info.password
)
return
yield* publish
})
yield* Effect.addFinalizer(() =>
current.pipe(
Effect.flatMap((current) => (current?.id === id ? fs.remove(file) : Effect.void)),
Effect.ignore,
),
)
yield* assertRegistration.pipe(
Effect.catchCause((cause) => Effect.logWarning("failed to reassert service registration", { cause })),
Effect.repeat(Schedule.spaced("5 seconds")),
Effect.ignore,
Effect.andThen(shutdown),
Effect.forkScoped,
)
return current.pipe(
Effect.flatMap((found) => (owns(found) ? fs.remove(file) : Effect.void)),
Effect.ignore,
)
})
const recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {
const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(
Effect.filterOrFail((value) => value !== undefined),
Effect.retry(Schedule.spaced("100 millis")),
Effect.timeoutOption("15 seconds"),
)
return Option.isSome(found)
})
function serviceURL(hostname: string, port: number) {
return `http://${hostname.includes(":") ? `[${hostname}]` : hostname}:${port}`
}
function addressInUse(error: unknown): boolean {
if (typeof error !== "object" || error === null) return false
if ("code" in error && error.code === "EADDRINUSE") return true
return "cause" in error && addressInUse(error.cause)
}
function waitForStdinClose() {
return Effect.callback<void>((resume) => {
const close = () => resume(Effect.void)

Some files were not shown because too many files have changed in this diff Show More