mirror of
https://github.com/anomalyco/opencode.git
synced 2026-09-08 18:06:25 +00:00
Compare commits
25
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Brendonovich
|
4871631820 | ||
|
Brendonovich
|
b3a1713bd1 | ||
|
Brendonovich
|
c9cb3ce358 | ||
|
Brendan Allan
|
915dbe53b9 | ||
|
opencode-agent[bot]andBrendonovich
|
c3f1bdaf97 | ||
|
opencode-agent[bot]
|
2bf9bec897 | ||
|
Brendan Allan
|
90dd682e66 | ||
|
opencode-agent[bot]andBrendonovich
|
64684b118f | ||
|
Dax
|
cab8e39ad5 | ||
|
Brendan Allan
|
77bec701dd | ||
|
Aiden Cline
|
5165d6008c | ||
|
Aiden Cline
|
4d74854e8c | ||
|
Dax Raad
|
50e17b7f95 | ||
|
Aiden Cline
|
e8177238f6 | ||
|
Brendan Allan
|
a9a9f514d5 | ||
|
Brendan Allan
|
0c4309521a | ||
|
Aiden Cline
|
b3f36c0967 | ||
|
Kit Langton
|
1f77408ff2 | ||
|
Aiden Cline
|
a912a6ee4f | ||
|
Aiden Cline
|
2ac698d65a | ||
|
opencode-agent[bot]
|
c1c6ab593d | ||
|
Dax Raad
|
d1d1c6f890 | ||
|
opencode-agent[bot]
|
0ab661a9cc | ||
|
Dax Raad
|
a55dc8c84a | ||
|
Brendan Allan
|
59e36f7120 |
@@ -0,0 +1,34 @@
|
||||
name: deploy-files
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- dev
|
||||
- v2
|
||||
workflow_dispatch:
|
||||
|
||||
concurrency:
|
||||
group: deploy-files-${{ github.ref_name }}
|
||||
cancel-in-progress: false
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'v2')
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
|
||||
|
||||
- uses: ./.github/actions/setup-bun
|
||||
|
||||
- name: Typecheck
|
||||
working-directory: services/files
|
||||
run: bun typecheck
|
||||
|
||||
- name: Deploy
|
||||
working-directory: services/files
|
||||
run: bun run deploy --env ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
|
||||
env:
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
@@ -24,13 +24,13 @@ jobs:
|
||||
- uses: ./.github/actions/setup-bun
|
||||
|
||||
- name: Build
|
||||
working-directory: packages/www
|
||||
working-directory: services/www
|
||||
run: bun run build
|
||||
env:
|
||||
CLOUDFLARE_ENV: ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
|
||||
|
||||
- name: Deploy
|
||||
working-directory: packages/www
|
||||
working-directory: services/www
|
||||
run: bun run deploy
|
||||
env:
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
|
||||
@@ -11,6 +11,7 @@ on:
|
||||
- "bun.lock"
|
||||
- "package.json"
|
||||
- "packages/*/package.json"
|
||||
- "services/*/package.json"
|
||||
- "flake.lock"
|
||||
- "nix/node_modules.nix"
|
||||
- "nix/scripts/**"
|
||||
|
||||
@@ -48,7 +48,7 @@ jobs:
|
||||
|
||||
- name: Deploy update service
|
||||
if: github.ref_name == 'v2'
|
||||
working-directory: packages/updates
|
||||
working-directory: services/updates
|
||||
run: bun run deploy
|
||||
env:
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
@@ -670,19 +670,6 @@ jobs:
|
||||
git config --global user.name "opencode"
|
||||
ssh-keyscan -H aur.archlinux.org >> ~/.ssh/known_hosts || true
|
||||
|
||||
- name: Upload desktop release assets
|
||||
if: needs.version.outputs.release
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.committer.outputs.token }}
|
||||
run: |
|
||||
shopt -s nullglob
|
||||
files=(/tmp/desktop/*.{exe,blockmap,dmg,zip,AppImage,deb,rpm} /tmp/desktop/*.app.tar.gz)
|
||||
if (( ${#files[@]} == 0 )); then
|
||||
echo "No desktop release assets found"
|
||||
exit 1
|
||||
fi
|
||||
gh release upload "v${{ needs.version.outputs.version }}" "${files[@]}" --clobber --repo "${{ needs.version.outputs.repo }}"
|
||||
|
||||
- run: ./script/publish.ts
|
||||
env:
|
||||
OPENCODE_VERSION: ${{ needs.version.outputs.version }}
|
||||
@@ -694,3 +681,6 @@ jobs:
|
||||
LATEST_YML_DIR: /tmp/latest-yml
|
||||
TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
|
||||
TAURI_SIGNING_PRIVATE_KEY_PASSWORD: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY_PASSWORD }}
|
||||
OPENCODE_DESKTOP_DIST: /tmp/desktop
|
||||
CLOUDFLARE_ACCOUNT_ID: 15d29c8639fd3733b1b5486a2acfd968
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
|
||||
@@ -173,7 +173,7 @@ jobs:
|
||||
|
||||
- name: Check generated documentation
|
||||
if: runner.os == 'Linux'
|
||||
working-directory: packages/www
|
||||
working-directory: services/www
|
||||
run: bun run check:generated
|
||||
|
||||
e2e:
|
||||
|
||||
@@ -86,6 +86,7 @@
|
||||
"fuzzysort": "catalog:",
|
||||
"ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
|
||||
"luxon": "catalog:",
|
||||
"qr-scanner": "1.4.2",
|
||||
"remeda": "catalog:",
|
||||
"solid-js": "catalog:",
|
||||
"solid-presence": "0.2.0",
|
||||
@@ -962,22 +963,6 @@
|
||||
"solid-js": "^1.9.8",
|
||||
},
|
||||
},
|
||||
"packages/updates": {
|
||||
"name": "@opencode/updates",
|
||||
"version": "1.18.4",
|
||||
"dependencies": {
|
||||
"jose": "6.0.11",
|
||||
"semver": "catalog:",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@cloudflare/workers-types": "catalog:",
|
||||
"@tsconfig/node22": "catalog:",
|
||||
"@types/bun": "catalog:",
|
||||
"@types/semver": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"wrangler": "4.110.0",
|
||||
},
|
||||
},
|
||||
"packages/util": {
|
||||
"name": "@opencode/util",
|
||||
"version": "1.18.3",
|
||||
@@ -1043,7 +1028,33 @@
|
||||
"typescript": "catalog:",
|
||||
},
|
||||
},
|
||||
"packages/www": {
|
||||
"services/files": {
|
||||
"name": "@opencode/files",
|
||||
"devDependencies": {
|
||||
"@cloudflare/workers-types": "catalog:",
|
||||
"@tsconfig/node22": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"wrangler": "4.110.0",
|
||||
},
|
||||
},
|
||||
"services/updates": {
|
||||
"name": "@opencode/updates",
|
||||
"version": "1.18.4",
|
||||
"dependencies": {
|
||||
"jose": "6.0.11",
|
||||
"semver": "catalog:",
|
||||
"yaml": "2.9.0",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@cloudflare/workers-types": "catalog:",
|
||||
"@tsconfig/node22": "catalog:",
|
||||
"@types/bun": "catalog:",
|
||||
"@types/semver": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"wrangler": "4.110.0",
|
||||
},
|
||||
},
|
||||
"services/www": {
|
||||
"name": "@opencode/www",
|
||||
"dependencies": {
|
||||
"@astrojs/mdx": "7.0.5",
|
||||
@@ -2188,6 +2199,8 @@
|
||||
|
||||
"@opencode/enterprise": ["@opencode/enterprise@workspace:packages/enterprise"],
|
||||
|
||||
"@opencode/files": ["@opencode/files@workspace:services/files"],
|
||||
|
||||
"@opencode/function": ["@opencode/function@workspace:packages/function"],
|
||||
|
||||
"@opencode/http-recorder": ["@opencode/http-recorder@workspace:packages/http-recorder"],
|
||||
@@ -2232,13 +2245,13 @@
|
||||
|
||||
"@opencode/ui": ["@opencode/ui@workspace:packages/ui"],
|
||||
|
||||
"@opencode/updates": ["@opencode/updates@workspace:packages/updates"],
|
||||
"@opencode/updates": ["@opencode/updates@workspace:services/updates"],
|
||||
|
||||
"@opencode/util": ["@opencode/util@workspace:packages/util"],
|
||||
|
||||
"@opencode/web": ["@opencode/web@workspace:packages/web"],
|
||||
|
||||
"@opencode/www": ["@opencode/www@workspace:packages/www"],
|
||||
"@opencode/www": ["@opencode/www@workspace:services/www"],
|
||||
|
||||
"@openrouter/ai-sdk-provider": ["@openrouter/ai-sdk-provider@2.10.0", "", { "peerDependencies": { "ai": "^6.0.0", "zod": "^3.25.0 || ^4.0.0" } }, "sha512-FMsAEjLUt5pWuRE2LDC/LCvVrFjLlrEzUITH5+5SZtfq7KZ2wrOHjQVxzz92sju8S9ltpzW87CLW8/b0oBXVCw=="],
|
||||
|
||||
@@ -3216,6 +3229,8 @@
|
||||
|
||||
"@types/npmlog": ["@types/npmlog@7.0.0", "", { "dependencies": { "@types/node": "*" } }, "sha512-hJWbrKFvxKyWwSUXjZMYTINsSOY6IclhvGOZ97M8ac2tmR9hMwmTnYaMdpGhvju9ctWLTPhCS+eLfQNluiEjQQ=="],
|
||||
|
||||
"@types/offscreencanvas": ["@types/offscreencanvas@2019.7.3", "", {}, "sha512-ieXiYmgSRXUDeOntE1InxjWyvEelZGP63M+cGuquuRLuIKKT1osnkXjxev9B7d1nXSug5vpunx+gNlbVxMlC9A=="],
|
||||
|
||||
"@types/pacote": ["@types/pacote@11.1.8", "", { "dependencies": { "@types/node": "*", "@types/npm-registry-fetch": "*", "@types/npmlog": "*", "@types/ssri": "*" } }, "sha512-/XLR0VoTh2JEO0jJg1q/e6Rh9bxjBq9vorJuQmtT7rRrXSiWz7e7NsvXVYJQ0i8JxMlBMPPYDTnrRe7MZRFA8Q=="],
|
||||
|
||||
"@types/prop-types": ["@types/prop-types@15.7.15", "", {}, "sha512-F6bEyamV9jKGAFBEmlQnesRPGOQqS2+Uwi0Em15xenOxHaf2hv6L8YCVn3rPdPJOiJfPiCnLIRyvwVaqMY3MIw=="],
|
||||
@@ -5148,6 +5163,8 @@
|
||||
|
||||
"pvutils": ["pvutils@1.2.0", "", {}, "sha512-BbubeCEyTuQjVMakvJQ/Sxbc93F2pwmbsxONT/ZRrwU7Ua38d8unYTwXpTVLAKJ4BDuH9IGztCjQcd/N/39Dvg=="],
|
||||
|
||||
"qr-scanner": ["qr-scanner@1.4.2", "", { "dependencies": { "@types/offscreencanvas": "^2019.6.4" } }, "sha512-kV1yQUe2FENvn59tMZW6mOVfpq9mGxGf8l6+EGaXUOd4RBOLg7tRC83OrirM5AtDvZRpdjdlXURsHreAOSPOUw=="],
|
||||
|
||||
"qs": ["qs@6.15.3", "", { "dependencies": { "es-define-property": "^1.0.1", "side-channel": "^1.1.1" } }, "sha512-O9gl3zCl5h5blw1KGUzQKhA5oUXSl8rwUIM5o0S3nCXMliSvy5Dzx7/DJcI+SwgICv+IneSZwhBh1oSyEHA71A=="],
|
||||
|
||||
"quansync": ["quansync@0.2.11", "", {}, "sha512-AifT7QEbW9Nri4tAwR5M/uzpBuqfZf+zwaEM/QkzEjj7NBuFD2rBuy0K3dE+8wltbezDV7JMA0WfnCPYRSYbXA=="],
|
||||
@@ -6378,6 +6395,8 @@
|
||||
|
||||
"@opencode/enterprise/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
|
||||
|
||||
"@opencode/files/wrangler": ["wrangler@4.110.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "4.20260708.1", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260708.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260708.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-xZeXKYi7hxQRF5anL+v77RkufJNpF9f3Eqeyqq2QBsETpLZgh0Agj0jJ6JPtkbgn6ukZdh8OK5egsGPWIditgg=="],
|
||||
|
||||
"@opencode/posts/wrangler": ["wrangler@4.110.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "4.20260708.1", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260708.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260708.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-xZeXKYi7hxQRF5anL+v77RkufJNpF9f3Eqeyqq2QBsETpLZgh0Agj0jJ6JPtkbgn6ukZdh8OK5egsGPWIditgg=="],
|
||||
|
||||
"@opencode/session-ui/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
|
||||
@@ -7272,6 +7291,16 @@
|
||||
|
||||
"@opencode/enterprise/@tailwindcss/vite/@tailwindcss/oxide": ["@tailwindcss/oxide@4.1.11", "", { "dependencies": { "detect-libc": "^2.0.4", "tar": "^7.4.3" }, "optionalDependencies": { "@tailwindcss/oxide-android-arm64": "4.1.11", "@tailwindcss/oxide-darwin-arm64": "4.1.11", "@tailwindcss/oxide-darwin-x64": "4.1.11", "@tailwindcss/oxide-freebsd-x64": "4.1.11", "@tailwindcss/oxide-linux-arm-gnueabihf": "4.1.11", "@tailwindcss/oxide-linux-arm64-gnu": "4.1.11", "@tailwindcss/oxide-linux-arm64-musl": "4.1.11", "@tailwindcss/oxide-linux-x64-gnu": "4.1.11", "@tailwindcss/oxide-linux-x64-musl": "4.1.11", "@tailwindcss/oxide-wasm32-wasi": "4.1.11", "@tailwindcss/oxide-win32-arm64-msvc": "4.1.11", "@tailwindcss/oxide-win32-x64-msvc": "4.1.11" } }, "sha512-Q69XzrtAhuyfHo+5/HMgr1lAiPP/G40OMFAnws7xcFEYqcypZmdW8eGXaOUIeOl1dzPJBPENXgbjsOyhg2nkrg=="],
|
||||
|
||||
"@opencode/files/wrangler/@cloudflare/kv-asset-handler": ["@cloudflare/kv-asset-handler@0.5.0", "", {}, "sha512-jxQYkj8dSIzc0cD6cMMNdOc1UVjqSqu8BZdor5s8cGjW2I8BjODt/kWPVdY+u9zj3ms75Q5qaZgnxUad83+eAg=="],
|
||||
|
||||
"@opencode/files/wrangler/@cloudflare/unenv-preset": ["@cloudflare/unenv-preset@2.16.1", "", { "peerDependencies": { "unenv": "2.0.0-rc.24", "workerd": ">1.20260305.0 <2.0.0-0" }, "optionalPeers": ["workerd"] }, "sha512-ECxObrMfyTl5bhQf/lZCXwo5G6xX9IAUo+nDMKK4SZ8m4Jvvxp52vilxyySSWh2YTZz8+HQ07qGH/2rEom1vDw=="],
|
||||
|
||||
"@opencode/files/wrangler/esbuild": ["esbuild@0.28.1", "", { "optionalDependencies": { "@esbuild/aix-ppc64": "0.28.1", "@esbuild/android-arm": "0.28.1", "@esbuild/android-arm64": "0.28.1", "@esbuild/android-x64": "0.28.1", "@esbuild/darwin-arm64": "0.28.1", "@esbuild/darwin-x64": "0.28.1", "@esbuild/freebsd-arm64": "0.28.1", "@esbuild/freebsd-x64": "0.28.1", "@esbuild/linux-arm": "0.28.1", "@esbuild/linux-arm64": "0.28.1", "@esbuild/linux-ia32": "0.28.1", "@esbuild/linux-loong64": "0.28.1", "@esbuild/linux-mips64el": "0.28.1", "@esbuild/linux-ppc64": "0.28.1", "@esbuild/linux-riscv64": "0.28.1", "@esbuild/linux-s390x": "0.28.1", "@esbuild/linux-x64": "0.28.1", "@esbuild/netbsd-arm64": "0.28.1", "@esbuild/netbsd-x64": "0.28.1", "@esbuild/openbsd-arm64": "0.28.1", "@esbuild/openbsd-x64": "0.28.1", "@esbuild/openharmony-arm64": "0.28.1", "@esbuild/sunos-x64": "0.28.1", "@esbuild/win32-arm64": "0.28.1", "@esbuild/win32-ia32": "0.28.1", "@esbuild/win32-x64": "0.28.1" }, "bin": { "esbuild": "bin/esbuild" } }, "sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw=="],
|
||||
|
||||
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@@ -8066,6 +8095,72 @@
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@@ -8698,6 +8793,54 @@
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|
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|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-libvips-linux-x64": ["@img/sharp-libvips-linux-x64@1.2.4", "", { "os": "linux", "cpu": "x64" }, "sha512-tJxiiLsmHc9Ax1bz3oaOYBURTXGIRDODBqhveVHonrHJ9/+k89qbLl0bcJns+e4t4rvaNBxaEZsFtSfAdquPrw=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-libvips-linuxmusl-arm64": ["@img/sharp-libvips-linuxmusl-arm64@1.2.4", "", { "os": "linux", "cpu": "arm64" }, "sha512-FVQHuwx1IIuNow9QAbYUzJ+En8KcVm9Lk5+uGUQJHaZmMECZmOlix9HnH7n1TRkXMS0pGxIJokIVB9SuqZGGXw=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-libvips-linuxmusl-x64": ["@img/sharp-libvips-linuxmusl-x64@1.2.4", "", { "os": "linux", "cpu": "x64" }, "sha512-+LpyBk7L44ZIXwz/VYfglaX/okxezESc6UxDSoyo2Ks6Jxc4Y7sGjpgU9s4PMgqgjj1gZCylTieNamqA1MF7Dg=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linux-arm": ["@img/sharp-linux-arm@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linux-arm": "1.2.4" }, "os": "linux", "cpu": "arm" }, "sha512-9dLqsvwtg1uuXBGZKsxem9595+ujv0sJ6Vi8wcTANSFpwV/GONat5eCkzQo/1O6zRIkh0m/8+5BjrRr7jDUSZw=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linux-arm64": ["@img/sharp-linux-arm64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linux-arm64": "1.2.4" }, "os": "linux", "cpu": "arm64" }, "sha512-bKQzaJRY/bkPOXyKx5EVup7qkaojECG6NLYswgktOZjaXecSAeCWiZwwiFf3/Y+O1HrauiE3FVsGxFg8c24rZg=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linux-ppc64": ["@img/sharp-linux-ppc64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linux-ppc64": "1.2.4" }, "os": "linux", "cpu": "ppc64" }, "sha512-7zznwNaqW6YtsfrGGDA6BRkISKAAE1Jo0QdpNYXNMHu2+0dTrPflTLNkpc8l7MUP5M16ZJcUvysVWWrMefZquA=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linux-riscv64": ["@img/sharp-linux-riscv64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linux-riscv64": "1.2.4" }, "os": "linux", "cpu": "none" }, "sha512-51gJuLPTKa7piYPaVs8GmByo7/U7/7TZOq+cnXJIHZKavIRHAP77e3N2HEl3dgiqdD/w0yUfiJnII77PuDDFdw=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linux-s390x": ["@img/sharp-linux-s390x@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linux-s390x": "1.2.4" }, "os": "linux", "cpu": "s390x" }, "sha512-nQtCk0PdKfho3eC5MrbQoigJ2gd1CgddUMkabUj+rBevs8tZ2cULOx46E7oyX+04WGfABgIwmMC0VqieTiR4jg=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linux-x64": ["@img/sharp-linux-x64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linux-x64": "1.2.4" }, "os": "linux", "cpu": "x64" }, "sha512-MEzd8HPKxVxVenwAa+JRPwEC7QFjoPWuS5NZnBt6B3pu7EG2Ge0id1oLHZpPJdn3OQK+BQDiw9zStiHBTJQQQQ=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linuxmusl-arm64": ["@img/sharp-linuxmusl-arm64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linuxmusl-arm64": "1.2.4" }, "os": "linux", "cpu": "arm64" }, "sha512-fprJR6GtRsMt6Kyfq44IsChVZeGN97gTD331weR1ex1c1rypDEABN6Tm2xa1wE6lYb5DdEnk03NZPqA7Id21yg=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-linuxmusl-x64": ["@img/sharp-linuxmusl-x64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-linuxmusl-x64": "1.2.4" }, "os": "linux", "cpu": "x64" }, "sha512-Jg8wNT1MUzIvhBFxViqrEhWDGzqymo3sV7z7ZsaWbZNDLXRJZoRGrjulp60YYtV4wfY8VIKcWidjojlLcWrd8Q=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-wasm32": ["@img/sharp-wasm32@0.34.5", "", { "dependencies": { "@emnapi/runtime": "^1.7.0" }, "cpu": "none" }, "sha512-OdWTEiVkY2PHwqkbBI8frFxQQFekHaSSkUIJkwzclWZe64O1X4UlUjqqqLaPbUpMOQk6FBu/HtlGXNblIs0huw=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-win32-arm64": ["@img/sharp-win32-arm64@0.34.5", "", { "os": "win32", "cpu": "arm64" }, "sha512-WQ3AgWCWYSb2yt+IG8mnC6Jdk9Whs7O0gxphblsLvdhSpSTtmu69ZG1Gkb6NuvxsNACwiPV6cNSZNzt0KPsw7g=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-win32-ia32": ["@img/sharp-win32-ia32@0.34.5", "", { "os": "win32", "cpu": "ia32" }, "sha512-FV9m/7NmeCmSHDD5j4+4pNI8Cp3aW+JvLoXcTUo0IqyjSfAZJ8dIUmijx1qaJsIiU+Hosw6xM5KijAWRJCSgNg=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-win32-x64": ["@img/sharp-win32-x64@0.34.5", "", { "os": "win32", "cpu": "x64" }, "sha512-+29YMsqY2/9eFEiW93eqWnuLcWcufowXewwSNIT6UwZdUUCrM3oFjMWH/Z6/TMmb4hlFenmfAVbpWeup2jryCw=="],
|
||||
|
||||
"@opencode/posts/wrangler/miniflare/sharp/@img/sharp-darwin-arm64": ["@img/sharp-darwin-arm64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-darwin-arm64": "1.2.4" }, "os": "darwin", "cpu": "arm64" }, "sha512-imtQ3WMJXbMY4fxb/Ndp6HBTNVtWCUI0WdobyheGf5+ad6xX8VIDO8u2xE4qc/fr08CKG/7dDseFtn6M6g/r3w=="],
|
||||
|
||||
"@opencode/posts/wrangler/miniflare/sharp/@img/sharp-darwin-x64": ["@img/sharp-darwin-x64@0.34.5", "", { "optionalDependencies": { "@img/sharp-libvips-darwin-x64": "1.2.4" }, "os": "darwin", "cpu": "x64" }, "sha512-YNEFAF/4KQ/PeW0N+r+aVVsoIY0/qxxikF2SWdp+NRkmMB7y9LBZAVqQ4yhGCm/H3H270OSykqmQMKLBhBJDEw=="],
|
||||
@@ -9004,6 +9147,8 @@
|
||||
|
||||
"@opencode/enterprise/@tailwindcss/vite/@tailwindcss/oxide/@tailwindcss/oxide-wasm32-wasi/@napi-rs/wasm-runtime/@tybys/wasm-util": ["@tybys/wasm-util@0.10.3", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-F3fo1MYrRJYL3zER0OUOmkutjr1Vp23m7OsSgp7nq4SP6OqX6C/56XFIPAl5bt3zaBRjmW7SGz3u/6LwFpYcOg=="],
|
||||
|
||||
"@opencode/files/wrangler/miniflare/sharp/@img/sharp-wasm32/@emnapi/runtime": ["@emnapi/runtime@1.11.3", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-Xz4Tpyki7XyrpbUK1jR1AhdAdaXyhhY4lZ3neLodmhpuWfy2PAQN5B46sAiU4liOXGLkHypn/qU+jvfWSCYYLA=="],
|
||||
|
||||
"@opencode/posts/wrangler/miniflare/sharp/@img/sharp-wasm32/@emnapi/runtime": ["@emnapi/runtime@1.11.3", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-Xz4Tpyki7XyrpbUK1jR1AhdAdaXyhhY4lZ3neLodmhpuWfy2PAQN5B46sAiU4liOXGLkHypn/qU+jvfWSCYYLA=="],
|
||||
|
||||
"@opencode/storybook/@tailwindcss/vite/@tailwindcss/oxide/@tailwindcss/oxide-wasm32-wasi/@napi-rs/wasm-runtime/@tybys/wasm-util": ["@tybys/wasm-util@0.10.3", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-F3fo1MYrRJYL3zER0OUOmkutjr1Vp23m7OsSgp7nq4SP6OqX6C/56XFIPAl5bt3zaBRjmW7SGz3u/6LwFpYcOg=="],
|
||||
|
||||
@@ -6,6 +6,7 @@ export function createWebApp(domain: string) {
|
||||
$app.stage === "beta"
|
||||
? {
|
||||
OPENCODE_CHANNEL: "beta",
|
||||
VITE_OPENCODE_SERVER_MODE: "none",
|
||||
VITE_SENTRY_ENVIRONMENT: "beta",
|
||||
}
|
||||
: undefined,
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-+E2chSxD9x139rXmeomoJMiNybSAAZstB2UiOBst8nE=",
|
||||
"aarch64-linux": "sha256-Wsm3Q4+k1kzxP0aBv2MRJl2sW/q/7CD9GuWsd4J7xEo=",
|
||||
"aarch64-darwin": "sha256-6lrSRpyGrN0FmQ3dXSaUERUQyW4IxjXCCeWi5oJ6GyM=",
|
||||
"x86_64-darwin": "sha256-V7XSss7r0hkUsH92rtJhwuWEZXnemridoF6wCTbl8Lc="
|
||||
"x86_64-linux": "sha256-EKhY3iZDrbNrBhntWpSdtLcmNLte6yVBxpIrCxr1uNM=",
|
||||
"aarch64-linux": "sha256-0OjDGZHgcnnk6IxkfK6ogeeqsGTqY/dcaZ/XzT23sgA=",
|
||||
"aarch64-darwin": "sha256-Zk51gnOicaLtPuqCYfgARhm2TjL222w1Y0Em288o0YY=",
|
||||
"x86_64-darwin": "sha256-hvDZ9zCV6zOSx6i7JZ1kVUMht+JI/jc8/y+aYrNHQ1E="
|
||||
}
|
||||
}
|
||||
|
||||
@@ -27,6 +27,7 @@ stdenvNoCC.mkDerivation {
|
||||
fileset = lib.fileset.intersection (lib.fileset.fromSource (lib.sources.cleanSource ../.)) (
|
||||
lib.fileset.unions [
|
||||
../packages
|
||||
../services
|
||||
../bun.lock
|
||||
../package.json
|
||||
../patches
|
||||
|
||||
+2
-1
@@ -13,7 +13,7 @@
|
||||
"dev:web": "bun --cwd packages/app dev",
|
||||
"dev:console": "ulimit -n 10240 2>/dev/null; bun run --cwd packages/console/app dev",
|
||||
"dev:stats": "bun sst shell --stage=production -- bun run --cwd packages/stats/app dev",
|
||||
"dev:www": "bun run --cwd packages/www dev",
|
||||
"dev:www": "bun run --cwd services/www dev",
|
||||
"dev:storybook": "bun --cwd packages/storybook storybook",
|
||||
"bench:devex": "bun run --cwd packages/app test:bench:devex",
|
||||
"lint": "oxlint",
|
||||
@@ -34,6 +34,7 @@
|
||||
"workspaces": {
|
||||
"packages": [
|
||||
"packages/*",
|
||||
"services/*",
|
||||
"packages/console/*",
|
||||
"packages/stats/*"
|
||||
],
|
||||
|
||||
@@ -13,6 +13,7 @@
|
||||
Per-type constructors live on the type, not as top-level re-exports. Use `Message.system(...)`, `Message.user(...)`, `Message.assistant(...)`, `Message.tool(...)`, `LanguageModel.make(...)`, `ToolDefinition.make(...)`, `ToolCallPart.make(...)`, `ToolResultPart.make(...)`, `ToolChoice.make(...)`, `ToolChoice.named(...)`, `SystemPart.make(...)`, and `GenerationOptions.make(...)` directly. The top-level `LLM` namespace is reserved for request-shaped call APIs: `LLM.request`, `LLM.generate`, `LLM.stream`, and `LLM.generateObject`. Use `LLMRequest.update(...)` when deriving canonical request data; do not add a duplicate `LLM.updateRequest(...)` path. Two ways to construct the same thing is one too many.
|
||||
|
||||
- Keep provider-defined string enums forward-compatible. Expose known values for autocomplete while accepting future values with `Known | (string & {})`; use `Schema.String` at runtime unless rejecting unknown values is required for correctness.
|
||||
- Order reasoning-effort values from lowest to highest: `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, `max`. Provider-specific subsets follow the same relative order in types, schemas, option lists, and tests.
|
||||
|
||||
## Tests
|
||||
|
||||
|
||||
@@ -29,6 +29,134 @@ await Effect.runPromise(program.pipe(Effect.provide(llmLayer)))
|
||||
|
||||
Run `LLMClient.stream(request)` instead of `generate` when you want incremental `LLMEvent`s. The event stream is provider-neutral — same shape across OpenAI Chat, OpenAI Responses, Anthropic Messages, Gemini, Bedrock Converse, and any OpenAI-compatible deployment.
|
||||
|
||||
## Z.AI
|
||||
|
||||
`ZAI` uses the standard API. Chat Completions is the default language-model API;
|
||||
the existing `.image(...)` selector provides image generation.
|
||||
|
||||
```ts
|
||||
import { LLM } from "@opencode/ai"
|
||||
import { ZAI, ZAICodingPlan } from "@opencode/ai/providers"
|
||||
|
||||
const zai = ZAI.configure({ apiKey: process.env.ZAI_API_KEY })
|
||||
const request = LLM.request({
|
||||
model: zai.model("glm-5.3"), // also zai.chat("glm-5.3")
|
||||
prompt: "Explain this design.",
|
||||
providerOptions: {
|
||||
reasoningEffort: "high",
|
||||
thinking: { type: "enabled", clear_thinking: false },
|
||||
},
|
||||
})
|
||||
|
||||
const coding = ZAICodingPlan.configure({ apiKey: process.env.ZAI_API_KEY })
|
||||
const messages = LLM.request({
|
||||
model: coding.messages("glm-5.3"),
|
||||
prompt: "Explain this design.",
|
||||
providerOptions: { effort: "high" },
|
||||
})
|
||||
```
|
||||
|
||||
The products have distinct provider identities and endpoints:
|
||||
|
||||
| Provider | Selector | Default base URL |
|
||||
| ----------------------------------- | --------------------------- | ------------------------------------- |
|
||||
| `ZAI` (`zai`) | `.model`, `.chat`, `.image` | `https://api.z.ai/api/paas/v4` |
|
||||
| `ZAICodingPlan` (`zai-coding-plan`) | `.model`, `.chat` | `https://api.z.ai/api/coding/paas/v4` |
|
||||
| `ZAICodingPlan` | `.messages` | `https://api.z.ai/api/anthropic/v1` |
|
||||
| `ZAICodingPlan` | `.responses` | `https://api.z.ai/api/v1` |
|
||||
|
||||
Both read `ZAI_API_KEY` when `apiKey` is omitted and support an explicit `auth` override.
|
||||
Coding Plan requires an active subscription. `baseURL` overrides the selected API's
|
||||
complete base, including its version prefix. Language-model routes use HTTP/SSE.
|
||||
|
||||
Options retain the selected API's native semantics:
|
||||
|
||||
- Chat `reasoningEffort` lowers to `reasoning_effort`; Responses lowers it to `reasoning.effort`.
|
||||
Messages `effort` lowers to `output_config.effort`. Omission preserves provider defaults.
|
||||
- Chat `thinking` passes `type` and `clear_thinking` through unchanged. Set
|
||||
`clear_thinking: false` and replay complete `response.message` values to preserve reasoning
|
||||
across user messages and tool loops. The standard API defaults to clearing historical thinking;
|
||||
Coding Plan documents preservation by default.
|
||||
- Messages accepts `thinking: { type: "enabled" | "adaptive" | "disabled" }` without requiring
|
||||
an Anthropic token budget. Coding Plan documents a disabled toggle as low-effort thinking
|
||||
for GLM-5.3, with explicit effort taking precedence.
|
||||
- Chat also offers `toolStream`, `doSample`, `responseFormat`, `requestID`, and `userID`.
|
||||
Tool-argument streaming is enabled when tools are present on GLM-4.6/4.7/5.x;
|
||||
`toolStream: false` explicitly disables it. Older model families omit the opt-in.
|
||||
- Effort and thinking values remain forward-compatible strings. Their meaning is model-specific:
|
||||
GLM-5.3 accepts `low`, `high`, and `max` effort and rejects disabled thinking with HTTP 400;
|
||||
the direct GLM-5.2 recordings returned reasoning even with `none` and `minimal` effort,
|
||||
whereas explicit `thinking.type: "disabled"` disabled it on GLM-5.2 and GLM-4.7.
|
||||
|
||||
Standard API recordings cover GLM-5.3 efforts and a full preserved-reasoning tool loop with
|
||||
a subsequent user follow-up, GLM-5.2 efforts, older-model thinking toggles, GLM-4.5 tool calls,
|
||||
GLM-5.3-Flash image input, and JSON output. Coding Plan has unit coverage for routing,
|
||||
request options, and reasoning replay; successful live recordings are pending.
|
||||
|
||||
Package entrypoints are `@opencode/ai/providers/zai`, `zai/chat`, `zai-coding-plan`,
|
||||
`zai-coding-plan/chat`, `zai-coding-plan/messages`, and `zai-coding-plan/responses`.
|
||||
|
||||
## Moonshot
|
||||
|
||||
Moonshot defaults to Chat Completions, with Messages and Responses selectors for Kimi K3:
|
||||
|
||||
```ts
|
||||
import { LLM } from "@opencode/ai"
|
||||
import { Moonshot } from "@opencode/ai/providers"
|
||||
|
||||
const moonshot = Moonshot.configure({ apiKey: process.env.MOONSHOT_API_KEY })
|
||||
|
||||
const request = LLM.request({
|
||||
model: moonshot.model("kimi-k3"), // also moonshot.chat("kimi-k3")
|
||||
prompt: "Explain the tradeoffs in this design.",
|
||||
providerOptions: { reasoningEffort: "high" },
|
||||
})
|
||||
|
||||
const messages = LLM.request({
|
||||
model: moonshot.messages("kimi-k3"),
|
||||
prompt: "Explain the tradeoffs in this design.",
|
||||
providerOptions: { effort: "high" },
|
||||
})
|
||||
|
||||
const responses = LLM.request({
|
||||
model: moonshot.responses("kimi-k3"),
|
||||
prompt: "Explain the tradeoffs in this design.",
|
||||
providerOptions: { reasoningEffort: "high" },
|
||||
})
|
||||
```
|
||||
|
||||
When `apiKey` is omitted, authentication reads `MOONSHOT_API_KEY`, then `MOONSHOTAI_API_KEY`.
|
||||
Chat and Responses use `https://api.moonshot.ai/v1`; Messages uses
|
||||
`https://api.moonshot.ai/anthropic/v1`. `baseURL` overrides the selected API's complete base,
|
||||
including the version prefix, for regional endpoints or gateways. Each endpoint requires its own valid credentials.
|
||||
All three routes use HTTP/SSE.
|
||||
|
||||
Reasoning options stay native to the selected API and model:
|
||||
|
||||
| Model/API | Provider options |
|
||||
| --------------------------- | --------------------------------------------------------------------------------------- |
|
||||
| K3 Chat / Responses | `reasoningEffort: "low" \| "high" \| "max"`; default is `max` |
|
||||
| K3 Messages | `effort: "low" \| "high" \| "max"`; default is `max` |
|
||||
| K2.6 Chat | `thinking: { type: "enabled" \| "disabled", keep?: "all" \| null }`; default is enabled |
|
||||
| K2.7 Code / high-speed Chat | Omit `thinking` to use always-on, preserved reasoning |
|
||||
|
||||
Omitting options preserves the model's defaults. K3 uses effort rather than the K2.x `thinking`
|
||||
parameter. Known effort values have autocomplete while future strings remain accepted.
|
||||
For K2.6, `thinking.keep: "all"` enables preservation of reasoning across user messages.
|
||||
K3 and both K2.7 Code variants always preserve reasoning. Continue with the returned
|
||||
`response.message` and matching tool results so reasoning content and any Messages signatures are retained.
|
||||
Leave sampling options such as `temperature` unset to use these models' fixed defaults.
|
||||
|
||||
The recorded suite covers all three K3 APIs, default and explicit efforts, K2.6 thinking modes,
|
||||
both K2.7 Code variants, generated tool loops with a subsequent user follow-up, required/disabled
|
||||
tool choice, image-byte input, and native structured output through `http.body` overlays.
|
||||
K3 Chat and Messages accept required and disabled tool choice. Responses supports automatic tool
|
||||
choice only; explicit `required` and `none` produce a provider `InvalidRequest` error, also covered by recordings.
|
||||
The provider targets the Moonshot Open Platform; Kimi Code is a separate product and endpoint.
|
||||
|
||||
Package entrypoints are `@opencode/ai/providers/moonshot`, `moonshot/chat`, `moonshot/messages`,
|
||||
and `moonshot/responses`; each exports `model(modelID, settings)`.
|
||||
|
||||
## MiniMax
|
||||
|
||||
MiniMax defaults to its Messages API and reads `MINIMAX_API_KEY` when `apiKey` is omitted:
|
||||
|
||||
@@ -50,15 +50,24 @@ const SSE_EVENTS = new Set([
|
||||
])
|
||||
export const framing = Framing.sseEvents(SSE_EVENTS)
|
||||
|
||||
export type ThinkingBlockBinding = {
|
||||
readonly prefix_mismatch_behavior?: "error" | "drop_block" | (string & {})
|
||||
}
|
||||
|
||||
export type ThinkingInput =
|
||||
| {
|
||||
readonly type: "adaptive"
|
||||
readonly display?: "summarized" | "omitted"
|
||||
readonly block_binding?: ThinkingBlockBinding
|
||||
}
|
||||
| {
|
||||
readonly type: "disabled"
|
||||
}
|
||||
| ({ readonly type: "enabled"; readonly display?: "summarized" | "omitted" } & (
|
||||
| ({
|
||||
readonly type: "enabled"
|
||||
readonly display?: "summarized" | "omitted"
|
||||
readonly block_binding?: ThinkingBlockBinding
|
||||
} & (
|
||||
| { readonly budgetTokens: number; readonly budget_tokens?: number }
|
||||
| { readonly budgetTokens?: number; readonly budget_tokens: number }
|
||||
))
|
||||
@@ -301,20 +310,27 @@ const AnthropicToolChoice = Schema.Union([
|
||||
}),
|
||||
])
|
||||
|
||||
const AnthropicThinkingBlockBinding = Schema.Struct({
|
||||
prefix_mismatch_behavior: Schema.optional(Schema.String),
|
||||
})
|
||||
|
||||
const AnthropicThinking = Schema.Union([
|
||||
Schema.Struct({
|
||||
type: Schema.tag("enabled"),
|
||||
budget_tokens: Schema.Number,
|
||||
display: Schema.optional(Schema.Literals(["summarized", "omitted"])),
|
||||
block_binding: Schema.optional(AnthropicThinkingBlockBinding),
|
||||
}),
|
||||
Schema.Struct({
|
||||
type: Schema.tag("adaptive"),
|
||||
display: Schema.optional(Schema.Literals(["summarized", "omitted"])),
|
||||
block_binding: Schema.optional(AnthropicThinkingBlockBinding),
|
||||
}),
|
||||
Schema.Struct({
|
||||
type: Schema.tag("disabled"),
|
||||
}),
|
||||
])
|
||||
type AnthropicThinking = typeof AnthropicThinking.Type
|
||||
|
||||
// SDK OutputConfig:2684 {effort?: "low"|"medium"|"high"|"xhigh"|"max"|null, format?: JSONOutputFormat:2399}
|
||||
const AnthropicJsonOutputFormat = Schema.Struct({
|
||||
@@ -1025,8 +1041,9 @@ const resolveOptions = Effect.fn("AnthropicMessages.resolveOptions")(function* (
|
||||
...(outputConfigEffort === undefined ? {} : { effort: outputConfigEffort }),
|
||||
...(outputConfigFormat === undefined ? {} : { format: outputConfigFormat }),
|
||||
}
|
||||
const thinking = yield* resolveThinking(input?.thinking)
|
||||
return {
|
||||
thinking: yield* resolveThinking(input?.thinking),
|
||||
thinking: applyThinkingBindingDefault(request.model, thinking),
|
||||
effort: outputConfigEffort,
|
||||
output_config,
|
||||
service_tier,
|
||||
@@ -1037,15 +1054,41 @@ const resolveOptions = Effect.fn("AnthropicMessages.resolveOptions")(function* (
|
||||
}
|
||||
})
|
||||
|
||||
const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
|
||||
const override = model.compatibility?.supportsThinkingBlockBinding
|
||||
if (override !== undefined) return override
|
||||
// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
|
||||
const version = /(?:^|[./])claude-[a-z]+-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/i.exec(model.id)?.groups
|
||||
if (!version) return false
|
||||
const major = Number(version.major)
|
||||
const minor = Number(version.minor ?? 0)
|
||||
return major > 5 || (major === 5 && minor >= 1)
|
||||
}
|
||||
|
||||
const applyThinkingBindingDefault = (model: LLMRequest["model"], thinking: AnthropicThinking | undefined) => {
|
||||
if (thinking?.type === "disabled") return thinking
|
||||
if (!supportsThinkingBlockBinding(model)) return thinking
|
||||
return {
|
||||
...(thinking ?? { type: "adaptive" as const }),
|
||||
block_binding: {
|
||||
prefix_mismatch_behavior: "drop_block",
|
||||
...thinking?.block_binding,
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
const resolveThinking = Effect.fn("AnthropicMessages.resolveThinking")(function* (input: unknown) {
|
||||
if (!ProviderShared.isRecord(input)) return undefined
|
||||
if (input.type === "disabled") return { type: "disabled" as const }
|
||||
if (input.type !== "adaptive" && input.type !== "enabled") return undefined
|
||||
const block_binding = yield* ProviderShared.validateWith(
|
||||
Schema.decodeUnknownEffect(Schema.UndefinedOr(AnthropicThinkingBlockBinding)),
|
||||
)(input.block_binding)
|
||||
const display =
|
||||
input.display === "summarized" || input.display === "omitted"
|
||||
? (input.display as "summarized" | "omitted")
|
||||
: undefined
|
||||
if (input.type === "adaptive") return { type: "adaptive" as const, ...(display === undefined ? {} : { display }) }
|
||||
if (input.type === "disabled") return { type: "disabled" as const }
|
||||
if (input.type !== "enabled") return undefined
|
||||
if (input.type === "adaptive") return { type: "adaptive" as const, display, block_binding }
|
||||
const budget =
|
||||
typeof input.budgetTokens === "number"
|
||||
? input.budgetTokens
|
||||
@@ -1054,7 +1097,7 @@ const resolveThinking = Effect.fn("AnthropicMessages.resolveThinking")(function*
|
||||
: undefined
|
||||
if (budget === undefined)
|
||||
return yield* ProviderShared.invalidRequest("Anthropic thinking provider option requires budgetTokens")
|
||||
return { type: "enabled" as const, budget_tokens: budget, ...(display === undefined ? {} : { display }) }
|
||||
return { type: "enabled" as const, budget_tokens: budget, display, block_binding }
|
||||
})
|
||||
|
||||
const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (request: LLMRequest) {
|
||||
@@ -1636,24 +1679,21 @@ export const protocol = Protocol.make({
|
||||
},
|
||||
})
|
||||
|
||||
export const transport = <Body extends Pick<AnthropicMessagesBody, "messages" | "context_management">>() => {
|
||||
export const transport = <
|
||||
Body extends Pick<AnthropicMessagesBody, "messages" | "context_management" | "thinking">,
|
||||
>() => {
|
||||
const http = HttpTransport.httpJson<Body, string>({ framing })
|
||||
return {
|
||||
...http,
|
||||
prepare: (input: Parameters<typeof http.prepare>[0]) => {
|
||||
if (
|
||||
!input.body.context_management?.edits.length &&
|
||||
!input.body.messages.some((message) => message.content.some((block) => block.type === "compaction"))
|
||||
)
|
||||
return http.prepare(input)
|
||||
const requiredBetas = requiredBetaHeaders(input.body)
|
||||
if (requiredBetas.length === 0) return http.prepare(input)
|
||||
const headers = Headers.fromInput(input.request.http?.headers)
|
||||
const betas = new Set(
|
||||
(headers["anthropic-beta"] ?? "")
|
||||
.split(",")
|
||||
.map((item) => item.trim())
|
||||
.filter(Boolean),
|
||||
)
|
||||
betas.add("compact-2026-01-12")
|
||||
const existingBetas = (headers["anthropic-beta"] ?? "")
|
||||
.split(",")
|
||||
.map((item) => item.trim())
|
||||
.filter(Boolean)
|
||||
const betas = new Set([...existingBetas, ...requiredBetas])
|
||||
return http.prepare({
|
||||
...input,
|
||||
request: LLMRequest.update(input.request, {
|
||||
@@ -1667,6 +1707,20 @@ export const transport = <Body extends Pick<AnthropicMessagesBody, "messages" |
|
||||
}
|
||||
}
|
||||
|
||||
function requiredBetaHeaders(body: Pick<AnthropicMessagesBody, "messages" | "context_management" | "thinking">) {
|
||||
const betas: string[] = []
|
||||
const requestsCompaction = (body.context_management?.edits.length ?? 0) > 0
|
||||
const replaysCompaction = body.messages.some((message) =>
|
||||
message.content.some((block) => block.type === "compaction"),
|
||||
)
|
||||
if (requestsCompaction || replaysCompaction) betas.push("compact-2026-01-12")
|
||||
|
||||
const thinking = body.thinking
|
||||
if (thinking && thinking.type !== "disabled" && thinking.block_binding)
|
||||
betas.push("thinking-binding-controls-2026-08-01")
|
||||
return betas
|
||||
}
|
||||
|
||||
export const route = Route.make({
|
||||
id: ADAPTER,
|
||||
provider: "anthropic",
|
||||
|
||||
@@ -0,0 +1,75 @@
|
||||
import { Effect, Schema } from "effect"
|
||||
import { Protocol } from "../route/protocol.js"
|
||||
import type { LanguageModelCompatibility, LLMRequest } from "../schema/index.js"
|
||||
import { OpenAIChat } from "./openai-chat.js"
|
||||
import { ProviderShared } from "./shared.js"
|
||||
|
||||
export type ReasoningEffort = "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max" | (string & {})
|
||||
|
||||
export type OptionsInput = {
|
||||
readonly reasoningEffort?: ReasoningEffort
|
||||
readonly thinking?: {
|
||||
readonly type?: "enabled" | "disabled" | (string & {})
|
||||
/** False retains historical reasoning; omission preserves the endpoint's default. */
|
||||
readonly clear_thinking?: boolean
|
||||
}
|
||||
readonly toolStream?: boolean
|
||||
readonly doSample?: boolean
|
||||
readonly responseFormat?: { readonly type: "text" | "json_object" | (string & {}) }
|
||||
readonly requestID?: string
|
||||
readonly userID?: string
|
||||
}
|
||||
|
||||
const Options = Schema.Struct({
|
||||
reasoningEffort: Schema.optional(Schema.String),
|
||||
thinking: Schema.optional(
|
||||
Schema.Struct({ type: Schema.optional(Schema.String), clear_thinking: Schema.optional(Schema.Boolean) }),
|
||||
),
|
||||
toolStream: Schema.optional(Schema.Boolean),
|
||||
doSample: Schema.optional(Schema.Boolean),
|
||||
responseFormat: Schema.optional(Schema.Struct({ type: Schema.String })),
|
||||
requestID: Schema.optional(Schema.String),
|
||||
userID: Schema.optional(Schema.String),
|
||||
})
|
||||
|
||||
const Body = Schema.Struct({
|
||||
...OpenAIChat.bodyFields,
|
||||
thinking: Options.fields.thinking,
|
||||
do_sample: Options.fields.doSample,
|
||||
response_format: Options.fields.responseFormat,
|
||||
request_id: Options.fields.requestID,
|
||||
user_id: Options.fields.userID,
|
||||
})
|
||||
|
||||
const fromRequest = Effect.fn("ZAIChat.fromRequest")(function* (request: LLMRequest) {
|
||||
const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
|
||||
const body = yield* OpenAIChat.protocol.body.from(request)
|
||||
return {
|
||||
...body,
|
||||
thinking: options.thinking,
|
||||
// Tool streaming was introduced in GLM-4.6; older models must not receive the opt-in.
|
||||
tool_stream:
|
||||
options.toolStream ??
|
||||
(body.tools?.length && /^glm-(?:4\.[67]|5(?:[.-]|$))/i.test(request.model.id) ? true : undefined),
|
||||
do_sample: options.doSample,
|
||||
response_format: options.responseFormat,
|
||||
request_id: options.requestID,
|
||||
user_id: options.userID,
|
||||
}
|
||||
})
|
||||
|
||||
export const compatibility = {
|
||||
maxTokensField: "max_tokens",
|
||||
supportsStore: false,
|
||||
supportsStrictMode: false,
|
||||
reasoningField: "reasoning_content",
|
||||
zaiToolStream: false,
|
||||
} satisfies LanguageModelCompatibility
|
||||
|
||||
export const protocol = Protocol.make({
|
||||
id: "zai-chat",
|
||||
body: { schema: Body, from: fromRequest },
|
||||
stream: OpenAIChat.protocol.stream,
|
||||
})
|
||||
|
||||
export * as ZAIChat from "./zai-chat.js"
|
||||
@@ -0,0 +1,39 @@
|
||||
import { Effect, Schema } from "effect"
|
||||
import { Protocol } from "../route/protocol.js"
|
||||
import { LLMRequest } from "../schema/index.js"
|
||||
import { AnthropicMessages } from "./anthropic-messages.js"
|
||||
import { ProviderShared } from "./shared.js"
|
||||
import type { ZAIChat } from "./zai-chat.js"
|
||||
|
||||
export type OptionsInput = {
|
||||
readonly effort?: ZAIChat.ReasoningEffort
|
||||
readonly thinking?: { readonly type: "enabled" | "adaptive" | "disabled" | (string & {}) }
|
||||
}
|
||||
|
||||
const Options = Schema.Struct({
|
||||
effort: Schema.optional(Schema.String),
|
||||
thinking: Schema.optional(Schema.Struct({ type: Schema.String })),
|
||||
})
|
||||
const Body = Schema.Struct({
|
||||
...AnthropicMessages.AnthropicMessagesBody.fields,
|
||||
thinking: Options.fields.thinking,
|
||||
})
|
||||
|
||||
const fromRequest = Effect.fn("ZAIMessages.fromRequest")(function* (request: LLMRequest) {
|
||||
const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
|
||||
// Z.AI accepts enabled thinking without Anthropic's mandatory token budget.
|
||||
const body = yield* AnthropicMessages.protocol.body.from(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { ...request.providerOptions, thinking: undefined },
|
||||
}),
|
||||
)
|
||||
return { ...body, thinking: options.thinking }
|
||||
})
|
||||
|
||||
export const protocol = Protocol.make({
|
||||
id: "zai-messages",
|
||||
body: { schema: Body, from: fromRequest },
|
||||
stream: AnthropicMessages.protocol.stream,
|
||||
})
|
||||
|
||||
export * as ZAIMessages from "./zai-messages.js"
|
||||
@@ -19,6 +19,7 @@ export * as Groq from "./groq.js"
|
||||
export * as Meta from "./meta.js"
|
||||
export * as MiniMax from "./minimax.js"
|
||||
export * as Mistral from "./mistral.js"
|
||||
export * as Moonshot from "./moonshot.js"
|
||||
export * as OpenAI from "./openai.js"
|
||||
export * as OpenAICompatible from "./openai-compatible.js"
|
||||
export * as OpenAICompatibleResponses from "./openai-compatible-responses.js"
|
||||
@@ -26,3 +27,4 @@ export * as OpenRouter from "./openrouter.js"
|
||||
export * as TogetherAI from "./togetherai.js"
|
||||
export * as XAI from "./xai.js"
|
||||
export * as ZAI from "./zai.js"
|
||||
export * as ZAICodingPlan from "./zai-coding-plan.js"
|
||||
|
||||
@@ -0,0 +1,145 @@
|
||||
import { Effect, Schema } from "effect"
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
import { AnthropicMessages } from "../protocols/anthropic-messages.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { OpenResponses } from "../protocols/open-responses.js"
|
||||
import { ProviderShared } from "../protocols/shared.js"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { Framing } from "../route/framing.js"
|
||||
import { Protocol } from "../route/protocol.js"
|
||||
import { ProviderID, type LLMRequest, type ModelID } from "../schema/index.js"
|
||||
|
||||
export const id = ProviderID.make("moonshotai")
|
||||
|
||||
export type ReasoningEffort = "low" | "high" | "max" | (string & {})
|
||||
|
||||
export type ChatOptionsInput = {
|
||||
/** K3 always reasons; omitted effort uses the model's default. */
|
||||
readonly reasoningEffort?: ReasoningEffort
|
||||
/** K2.6 supports disabling thinking; K2.7 Code always thinks and preserves reasoning. */
|
||||
readonly thinking?: {
|
||||
readonly type: "enabled" | "disabled" | (string & {})
|
||||
readonly keep?: "all" | (string & {}) | null
|
||||
}
|
||||
}
|
||||
|
||||
export type MessagesOptionsInput = {
|
||||
readonly effort?: ReasoningEffort
|
||||
readonly metadata?: AnthropicMessages.OptionsInput["metadata"]
|
||||
}
|
||||
|
||||
export type ResponsesOptionsInput = {
|
||||
readonly reasoningEffort?: ReasoningEffort
|
||||
readonly safetyIdentifier?: string
|
||||
}
|
||||
|
||||
export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
/** Overrides the selected API's base URL, including its version prefix. */
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: ChatOptionsInput | MessagesOptionsInput | ResponsesOptionsInput
|
||||
}
|
||||
|
||||
export interface Settings<Options = ChatOptionsInput> extends ProviderPackage.Settings {
|
||||
readonly apiKey?: string
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: Options
|
||||
}
|
||||
|
||||
const ChatOptions = Schema.Struct({
|
||||
reasoningEffort: Schema.optional(Schema.String),
|
||||
thinking: Schema.optional(
|
||||
Schema.Struct({ type: Schema.String, keep: Schema.optional(Schema.NullOr(Schema.String)) }),
|
||||
),
|
||||
})
|
||||
|
||||
const chatProtocol = Protocol.make({
|
||||
id: "moonshot-chat",
|
||||
body: {
|
||||
schema: Schema.Struct({ ...OpenAIChat.bodyFields, thinking: ChatOptions.fields.thinking }),
|
||||
from: Effect.fn("Moonshot.chatFromRequest")(function* (request: LLMRequest) {
|
||||
const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(ChatOptions))(
|
||||
request.providerOptions ?? {},
|
||||
)
|
||||
return { ...(yield* OpenAIChat.protocol.body.from(request)), thinking: options.thinking }
|
||||
}),
|
||||
},
|
||||
stream: OpenAIChat.protocol.stream,
|
||||
})
|
||||
|
||||
const chatRoute = Route.make({
|
||||
id: "moonshot-chat",
|
||||
provider: id,
|
||||
providerMetadataKey: "moonshot",
|
||||
protocol: chatProtocol,
|
||||
endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.moonshot.ai/v1" }),
|
||||
framing: OpenAIChat.framing,
|
||||
})
|
||||
|
||||
const messagesRoute = Route.make({
|
||||
id: "moonshot-messages",
|
||||
provider: id,
|
||||
providerMetadataKey: "moonshot",
|
||||
protocol: AnthropicMessages.protocol,
|
||||
endpoint: Endpoint.path("/messages", { baseURL: "https://api.moonshot.ai/anthropic/v1" }),
|
||||
framing: AnthropicMessages.framing,
|
||||
})
|
||||
|
||||
const responsesRoute = Route.make({
|
||||
id: "moonshot-responses",
|
||||
provider: id,
|
||||
providerMetadataKey: "moonshot",
|
||||
protocol: OpenResponses.protocol,
|
||||
endpoint: Endpoint.path("/responses", { baseURL: "https://api.moonshot.ai/v1" }),
|
||||
framing: Framing.sse,
|
||||
})
|
||||
|
||||
export const routes = [chatRoute, messagesRoute, responsesRoute]
|
||||
|
||||
export const configure = (input: Config = {}) => {
|
||||
const { apiKey: _apiKey, auth: _auth, baseURL, ...rest } = input
|
||||
const defaults = {
|
||||
...rest,
|
||||
endpoint: baseURL === undefined ? undefined : { baseURL },
|
||||
auth: AuthOptions.bearer(input, ["MOONSHOT_API_KEY", "MOONSHOTAI_API_KEY"]),
|
||||
}
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
chatRoute.with(defaults).model<ChatOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: {
|
||||
maxTokensField: "max_tokens",
|
||||
supportsStore: false,
|
||||
supportsStrictMode: false,
|
||||
toolSchema: "moonshot",
|
||||
reasoningField: "reasoning_content",
|
||||
},
|
||||
})
|
||||
const messages = (modelID: string | ModelID) =>
|
||||
messagesRoute.with(defaults).model<MessagesOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: { requireSignature: false, toolSchema: "moonshot" },
|
||||
})
|
||||
const responses = (modelID: string | ModelID) =>
|
||||
responsesRoute
|
||||
.with(defaults)
|
||||
.model<ResponsesOptionsInput>({ id: modelID, compatibility: { toolSchema: "moonshot" } })
|
||||
return { id, model: chat, chat, messages, responses, configure }
|
||||
}
|
||||
|
||||
export const provider = configure()
|
||||
export const chat = provider.chat
|
||||
export const messages = provider.messages
|
||||
export const responses = provider.responses
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["model"] = (modelID, settings) =>
|
||||
configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).model(modelID)
|
||||
|
||||
export * as Moonshot from "./moonshot.js"
|
||||
@@ -0,0 +1 @@
|
||||
export { model, type Settings } from "../moonshot.js"
|
||||
@@ -0,0 +1,16 @@
|
||||
import type { ProviderPackage } from "../../provider-package.js"
|
||||
import { Moonshot } from "../moonshot.js"
|
||||
|
||||
export type Settings = Moonshot.Settings<Moonshot.MessagesOptionsInput>
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, Moonshot.MessagesOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) =>
|
||||
Moonshot.configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).messages(modelID)
|
||||
@@ -0,0 +1,16 @@
|
||||
import type { ProviderPackage } from "../../provider-package.js"
|
||||
import { Moonshot } from "../moonshot.js"
|
||||
|
||||
export type Settings = Moonshot.Settings<Moonshot.ResponsesOptionsInput>
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, Moonshot.ResponsesOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) =>
|
||||
Moonshot.configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).responses(modelID)
|
||||
@@ -0,0 +1,92 @@
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
import { AnthropicMessages } from "../protocols/anthropic-messages.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { OpenResponses } from "../protocols/open-responses.js"
|
||||
import { ZAIChat } from "../protocols/zai-chat.js"
|
||||
import { ZAIMessages } from "../protocols/zai-messages.js"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { Framing } from "../route/framing.js"
|
||||
import { ProviderID, type ModelID } from "../schema/index.js"
|
||||
|
||||
export const id = ProviderID.make("zai-coding-plan")
|
||||
|
||||
export type ChatOptionsInput = ZAIChat.OptionsInput
|
||||
export type MessagesOptionsInput = ZAIMessages.OptionsInput
|
||||
export type ResponsesOptionsInput = { readonly reasoningEffort?: ZAIChat.ReasoningEffort }
|
||||
|
||||
export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
/** Overrides the selected API's complete base URL. */
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: ChatOptionsInput | MessagesOptionsInput | ResponsesOptionsInput
|
||||
}
|
||||
|
||||
export interface Settings<Options = ChatOptionsInput> extends ProviderPackage.Settings {
|
||||
readonly apiKey?: string
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: Options
|
||||
}
|
||||
|
||||
const chatRoute = Route.make({
|
||||
id: "zai-coding-chat",
|
||||
provider: id,
|
||||
providerMetadataKey: "zai",
|
||||
protocol: ZAIChat.protocol,
|
||||
endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.z.ai/api/coding/paas/v4" }),
|
||||
framing: OpenAIChat.framing,
|
||||
})
|
||||
const messagesRoute = Route.make({
|
||||
id: "zai-coding-messages",
|
||||
provider: id,
|
||||
providerMetadataKey: "zai",
|
||||
protocol: ZAIMessages.protocol,
|
||||
endpoint: Endpoint.path("/messages", { baseURL: "https://api.z.ai/api/anthropic/v1" }),
|
||||
framing: AnthropicMessages.framing,
|
||||
headers: () => ({ "anthropic-version": "2023-06-01" }),
|
||||
})
|
||||
const responsesRoute = Route.make({
|
||||
id: "zai-coding-responses",
|
||||
provider: id,
|
||||
providerMetadataKey: "zai",
|
||||
protocol: OpenResponses.protocol,
|
||||
endpoint: Endpoint.path("/responses", { baseURL: "https://api.z.ai/api/v1" }),
|
||||
framing: Framing.sse,
|
||||
})
|
||||
|
||||
export const routes = [chatRoute, messagesRoute, responsesRoute]
|
||||
|
||||
export const configure = (input: Config = {}) => {
|
||||
const { apiKey: _apiKey, auth: _auth, baseURL, ...rest } = input
|
||||
const defaults = {
|
||||
...rest,
|
||||
endpoint: baseURL === undefined ? undefined : { baseURL },
|
||||
auth: AuthOptions.bearer(input, "ZAI_API_KEY"),
|
||||
}
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
chatRoute.with(defaults).model<ChatOptionsInput>({ id: modelID, compatibility: ZAIChat.compatibility })
|
||||
const messages = (modelID: string | ModelID) =>
|
||||
messagesRoute
|
||||
.with(defaults)
|
||||
.model<MessagesOptionsInput>({ id: modelID, compatibility: { requireSignature: false } })
|
||||
const responses = (modelID: string | ModelID) =>
|
||||
responsesRoute.with(defaults).model<ResponsesOptionsInput>({ id: modelID })
|
||||
return { id, model: chat, chat, messages, responses, configure }
|
||||
}
|
||||
|
||||
export const provider = configure()
|
||||
export const chat = provider.chat
|
||||
export const messages = provider.messages
|
||||
export const responses = provider.responses
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["model"] = (modelID, settings) =>
|
||||
configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).model(modelID)
|
||||
|
||||
export * as ZAICodingPlan from "./zai-coding-plan.js"
|
||||
@@ -0,0 +1 @@
|
||||
export { model, type Settings } from "../zai-coding-plan.js"
|
||||
@@ -0,0 +1,16 @@
|
||||
import type { ProviderPackage } from "../../provider-package.js"
|
||||
import { ZAICodingPlan } from "../zai-coding-plan.js"
|
||||
|
||||
export type Settings = ZAICodingPlan.Settings<ZAICodingPlan.MessagesOptionsInput>
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, ZAICodingPlan.MessagesOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) =>
|
||||
ZAICodingPlan.configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).messages(modelID)
|
||||
@@ -0,0 +1,16 @@
|
||||
import type { ProviderPackage } from "../../provider-package.js"
|
||||
import { ZAICodingPlan } from "../zai-coding-plan.js"
|
||||
|
||||
export type Settings = ZAICodingPlan.Settings<ZAICodingPlan.ResponsesOptionsInput>
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, ZAICodingPlan.ResponsesOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) =>
|
||||
ZAICodingPlan.configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).responses(modelID)
|
||||
@@ -1,20 +1,53 @@
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
import { ZAIChat } from "../protocols/zai-chat.js"
|
||||
import { ZAIImages } from "../protocols/zai-images.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { HttpOptions, ProviderID, type ModelID } from "../schema/index.js"
|
||||
|
||||
export const id = ProviderID.make("zai")
|
||||
|
||||
export type Config = ProviderAuthOption<"optional"> & {
|
||||
export type ChatOptionsInput = ZAIChat.OptionsInput
|
||||
|
||||
export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: ChatOptionsInput
|
||||
}
|
||||
|
||||
export interface Settings extends ProviderPackage.Settings {
|
||||
readonly apiKey?: string
|
||||
readonly baseURL?: string
|
||||
readonly headers?: Record<string, string>
|
||||
readonly http?: HttpOptions.Input
|
||||
readonly providerOptions?: ChatOptionsInput
|
||||
}
|
||||
|
||||
export type { ZAIImageOptions } from "../protocols/zai-images.js"
|
||||
|
||||
const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "ZAI_API_KEY")
|
||||
|
||||
const chatRoute = Route.make({
|
||||
id: "zai-chat",
|
||||
provider: id,
|
||||
providerMetadataKey: "zai",
|
||||
protocol: ZAIChat.protocol,
|
||||
endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.z.ai/api/paas/v4" }),
|
||||
framing: OpenAIChat.framing,
|
||||
})
|
||||
|
||||
export const routes = [chatRoute]
|
||||
|
||||
export const configure = (input: Config = {}) => {
|
||||
const { apiKey: _apiKey, auth: _auth, baseURL, ...rest } = input
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
chatRoute
|
||||
.with({
|
||||
...rest,
|
||||
endpoint: baseURL === undefined ? undefined : { baseURL },
|
||||
auth: auth(input),
|
||||
})
|
||||
.model<ChatOptionsInput>({ id: modelID, compatibility: ZAIChat.compatibility })
|
||||
const image = (modelID: string | ModelID) =>
|
||||
ZAIImages.model({
|
||||
id: modelID,
|
||||
@@ -26,6 +59,8 @@ export const configure = (input: Config = {}) => {
|
||||
|
||||
return {
|
||||
id,
|
||||
model: chat,
|
||||
chat,
|
||||
image,
|
||||
configure,
|
||||
}
|
||||
@@ -33,3 +68,15 @@ export const configure = (input: Config = {}) => {
|
||||
|
||||
export const provider = configure()
|
||||
export const image = provider.image
|
||||
export const chat = provider.chat
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["model"] = (modelID, settings) =>
|
||||
configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
headers: settings.headers,
|
||||
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
|
||||
providerOptions: settings.providerOptions,
|
||||
}).model(modelID)
|
||||
|
||||
export * as ZAI from "./zai.js"
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
export { model, type Settings } from "../zai.js"
|
||||
@@ -163,6 +163,8 @@ export class LanguageModelCompatibility extends Schema.Class<LanguageModelCompat
|
||||
supportsStrictMode: Schema.optional(Schema.Boolean),
|
||||
zaiToolStream: Schema.optional(Schema.Boolean),
|
||||
requireSignature: Schema.optional(Schema.Boolean),
|
||||
/** Supports Anthropic's thinking-prefix mismatch controls. Overrides model-ID detection. */
|
||||
supportsThinkingBlockBinding: Schema.optional(Schema.Boolean),
|
||||
}) {}
|
||||
|
||||
export namespace LanguageModelCompatibility {
|
||||
|
||||
File diff suppressed because one or more lines are too long
+29
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+29
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Vendored
+29
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Vendored
+29
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+29
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+29
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+29
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+74
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packages/ai/test/fixtures/recordings/moonshot-chat/kimi-k2-6-streams-text-with-default-thinking.json
Vendored
+29
File diff suppressed because one or more lines are too long
+29
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"version": 1,
|
||||
"metadata": {
|
||||
"model": "kimi-k2.6",
|
||||
"tags": ["prefix:moonshot-chat", "provider:moonshot", "protocol:moonshot-chat", "text", "usage", "thinking-off"],
|
||||
"name": "moonshot-chat/kimi-k2-6-streams-text-with-disabled-thinking",
|
||||
"recordedAt": "2026-09-07T20:35:09.335Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
"transport": "http",
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "https://api.moonshot.ai/v1/chat/completions",
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"kimi-k2.6\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
"body": "data: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"378\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"87\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{},\"finish_reason\":\"stop\",\"usage\":{\"prompt_tokens\":23,\"completion_tokens\":5,\"total_tokens\":28,\"completion_tokens_details\":{\"reasoning_tokens\":1}}}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[],\"usage\":{\"prompt_tokens\":23,\"completion_tokens\":5,\"total_tokens\":28,\"completion_tokens_details\":{\"reasoning_tokens\":1}}}\n\ndata: [DONE]\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
packages/ai/test/fixtures/recordings/moonshot-chat/kimi-k2-6-streams-text-with-enabled-thinking.json
Vendored
+29
File diff suppressed because one or more lines are too long
+74
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+29
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+74
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+29
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+74
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+29
File diff suppressed because one or more lines are too long
+29
File diff suppressed because one or more lines are too long
Vendored
+29
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"version": 1,
|
||||
"metadata": {
|
||||
"model": "kimi-k3",
|
||||
"tags": ["prefix:moonshot-messages", "provider:moonshot", "protocol:messages", "tool", "tool-choice", "usage"],
|
||||
"name": "moonshot-messages/k3-respects-tool-choice-required",
|
||||
"recordedAt": "2026-09-07T20:37:07.770Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
"transport": "http",
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "https://api.moonshot.ai/anthropic/v1/messages",
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"kimi-k3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"any\"},\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"low\"}}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
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packages/ai/test/fixtures/recordings/moonshot-responses/k3-rejects-unsupported-tool-choice-none.json
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}
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+28
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+28
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||||
import { LLM } from "../../src/index.js"
|
||||
import { Moonshot } from "../../src/providers.js"
|
||||
|
||||
const moonshot = Moonshot.configure()
|
||||
|
||||
LLM.request({ model: moonshot.model("kimi-k2.6"), providerOptions: { thinking: { type: "enabled", keep: "all" } } })
|
||||
LLM.request({ model: moonshot.chat("kimi-k2.6"), providerOptions: { thinking: { type: "disabled", keep: null } } })
|
||||
LLM.request({ model: moonshot.chat("kimi-k3"), providerOptions: { reasoningEffort: "high" } })
|
||||
LLM.request({
|
||||
model: moonshot.messages("kimi-k3"),
|
||||
providerOptions: { effort: "low", metadata: { user_id: "fixture" } },
|
||||
})
|
||||
LLM.request({ model: moonshot.responses("kimi-k3"), providerOptions: { reasoningEffort: "future-effort" } })
|
||||
|
||||
LLM.request({
|
||||
model: moonshot.messages("kimi-k3"),
|
||||
// @ts-expect-error Messages exposes effort rather than the K2 Chat thinking parameter.
|
||||
providerOptions: { thinking: { type: "enabled" } },
|
||||
})
|
||||
LLM.request({
|
||||
model: moonshot.chat("kimi-k2.6"),
|
||||
// @ts-expect-error Preserved thinking takes a string or null.
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||||
providerOptions: { thinking: { type: "enabled", keep: true } },
|
||||
})
|
||||
LLM.request({
|
||||
model: moonshot.responses("kimi-k3"),
|
||||
// @ts-expect-error Responses uses reasoningEffort rather than the Messages effort option.
|
||||
providerOptions: { effort: "high" },
|
||||
})
|
||||
@@ -0,0 +1,32 @@
|
||||
import { LLM } from "../../src/index.js"
|
||||
import { ZAI, ZAICodingPlan } from "../../src/providers.js"
|
||||
|
||||
LLM.request({
|
||||
model: ZAI.chat("glm-5.3"),
|
||||
providerOptions: { thinking: { clear_thinking: false }, reasoningEffort: "max" },
|
||||
})
|
||||
LLM.request({
|
||||
model: ZAI.chat("glm-5.2"),
|
||||
providerOptions: { thinking: { type: "disabled" }, toolStream: false, responseFormat: { type: "json_object" } },
|
||||
})
|
||||
LLM.request({
|
||||
model: ZAICodingPlan.messages("glm-5.3"),
|
||||
providerOptions: { thinking: { type: "enabled" }, effort: "high" },
|
||||
})
|
||||
LLM.request({ model: ZAICodingPlan.responses("glm-5.3"), providerOptions: { reasoningEffort: "future-effort" } })
|
||||
|
||||
LLM.request({
|
||||
model: ZAI.chat("glm-5.3"),
|
||||
// @ts-expect-error clear_thinking is a boolean.
|
||||
providerOptions: { thinking: { clear_thinking: "false" } },
|
||||
})
|
||||
LLM.request({
|
||||
model: ZAICodingPlan.messages("glm-5.3"),
|
||||
// @ts-expect-error Messages uses effort.
|
||||
providerOptions: { reasoningEffort: "high" },
|
||||
})
|
||||
LLM.request({
|
||||
model: ZAICodingPlan.responses("glm-5.3"),
|
||||
// @ts-expect-error Responses uses reasoning effort, not Chat thinking controls.
|
||||
providerOptions: { thinking: { type: "enabled" } },
|
||||
})
|
||||
@@ -41,6 +41,16 @@ describe("provider package entrypoints", () => {
|
||||
import("@opencode/ai/providers/minimax/messages"),
|
||||
import("@opencode/ai/providers/minimax/chat"),
|
||||
import("@opencode/ai/providers/minimax/responses"),
|
||||
import("@opencode/ai/providers/moonshot"),
|
||||
import("@opencode/ai/providers/moonshot/chat"),
|
||||
import("@opencode/ai/providers/moonshot/messages"),
|
||||
import("@opencode/ai/providers/moonshot/responses"),
|
||||
import("@opencode/ai/providers/zai"),
|
||||
import("@opencode/ai/providers/zai/chat"),
|
||||
import("@opencode/ai/providers/zai-coding-plan"),
|
||||
import("@opencode/ai/providers/zai-coding-plan/chat"),
|
||||
import("@opencode/ai/providers/zai-coding-plan/messages"),
|
||||
import("@opencode/ai/providers/zai-coding-plan/responses"),
|
||||
])
|
||||
|
||||
for (const module of modules) expect(module.model).toBeFunction()
|
||||
@@ -51,6 +61,31 @@ describe("provider package entrypoints", () => {
|
||||
expect(modules[19].model).not.toBe(modules[20].model)
|
||||
})
|
||||
|
||||
test("maps Moonshot API entrypoints onto provider-owned routes", async () => {
|
||||
const modules = await Promise.all([
|
||||
import("@opencode/ai/providers/moonshot"),
|
||||
import("@opencode/ai/providers/moonshot/chat"),
|
||||
import("@opencode/ai/providers/moonshot/messages"),
|
||||
import("@opencode/ai/providers/moonshot/responses"),
|
||||
])
|
||||
expect(modules[0].model).toBe(modules[1].model)
|
||||
const settings = {
|
||||
apiKey: "fixture",
|
||||
baseURL: "https://gateway.example/v1",
|
||||
headers: { "x-application": "fixture" },
|
||||
body: { future_option: true },
|
||||
}
|
||||
const routes = ["moonshot-chat", "moonshot-chat", "moonshot-messages", "moonshot-responses"]
|
||||
modules.forEach((module, index) => {
|
||||
const selected = module.model("kimi-k3", settings)
|
||||
expect(selected.provider).toBe("moonshotai")
|
||||
expect(selected.route.id).toBe(routes[index])
|
||||
expect(selected.route.endpoint.baseURL).toBe(settings.baseURL)
|
||||
expect(selected.route.defaults.headers).toEqual(settings.headers)
|
||||
expect(selected.route.defaults.http?.body).toEqual(settings.body)
|
||||
})
|
||||
})
|
||||
|
||||
test("maps MiniMax API entrypoints onto provider-owned routes", async () => {
|
||||
const modules = await Promise.all([
|
||||
import("@opencode/ai/providers/minimax"),
|
||||
@@ -76,6 +111,41 @@ describe("provider package entrypoints", () => {
|
||||
})
|
||||
})
|
||||
|
||||
test("maps ZAI and Coding Plan entrypoints onto distinct provider-owned routes", async () => {
|
||||
const modules = await Promise.all([
|
||||
import("@opencode/ai/providers/zai"),
|
||||
import("@opencode/ai/providers/zai/chat"),
|
||||
import("@opencode/ai/providers/zai-coding-plan"),
|
||||
import("@opencode/ai/providers/zai-coding-plan/chat"),
|
||||
import("@opencode/ai/providers/zai-coding-plan/messages"),
|
||||
import("@opencode/ai/providers/zai-coding-plan/responses"),
|
||||
])
|
||||
expect(modules[0].model).toBe(modules[1].model)
|
||||
expect(modules[2].model).toBe(modules[3].model)
|
||||
const routes = [
|
||||
"zai-chat",
|
||||
"zai-chat",
|
||||
"zai-coding-chat",
|
||||
"zai-coding-chat",
|
||||
"zai-coding-messages",
|
||||
"zai-coding-responses",
|
||||
]
|
||||
const settings = {
|
||||
apiKey: "fixture",
|
||||
baseURL: "https://gateway.example/custom",
|
||||
headers: { "x-test": "fixture" },
|
||||
body: { extension: true },
|
||||
}
|
||||
modules.forEach((module, index) => {
|
||||
const selected = module.model("glm-5.3", settings)
|
||||
expect(selected.provider).toBe(index < 2 ? "zai" : "zai-coding-plan")
|
||||
expect(selected.route.id).toBe(routes[index])
|
||||
expect(selected.route.endpoint.baseURL).toBe(settings.baseURL)
|
||||
expect(selected.route.defaults.headers).toEqual(settings.headers)
|
||||
expect(selected.route.defaults.http?.body).toEqual(settings.body)
|
||||
})
|
||||
})
|
||||
|
||||
test("maps DeepInfra package settings onto its native executable model", async () => {
|
||||
const DeepInfra = await import("@opencode/ai/providers/deepinfra")
|
||||
const settings = {
|
||||
|
||||
@@ -0,0 +1,60 @@
|
||||
import { expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM } from "../../src/index.js"
|
||||
import { AnthropicMessages } from "../../src/protocols/anthropic-messages.js"
|
||||
import { compileRequest } from "../../src/route/client.js"
|
||||
import { it } from "../lib/effect.js"
|
||||
|
||||
for (const [id, enabled] of [
|
||||
["claude-fable-5-1", true],
|
||||
["claude-mythos-5-1", true],
|
||||
["claude-fable-5.1", true],
|
||||
["anthropic/claude-fable-5.1", true],
|
||||
["claude-fable-5-1@default", true],
|
||||
["claude-fable-5-1@20260901", true],
|
||||
["claude-sonnet-6", true],
|
||||
["claude-opus-5-20260901", false],
|
||||
["claude-opus-4-8", false],
|
||||
["anthropic/claude-opus-4.8", false],
|
||||
["claude-fable-5@default", false],
|
||||
["kimi-k2.5", false],
|
||||
] as const) {
|
||||
it.effect(`thinking-binding defaults for ${id}`, () =>
|
||||
Effect.gen(function* () {
|
||||
const request = LLM.request({
|
||||
model: AnthropicMessages.route.model({ id }),
|
||||
prompt: "Hello",
|
||||
http: { headers: { "anthropic-beta": "existing-beta" } },
|
||||
})
|
||||
const compiled = yield* compileRequest(request)
|
||||
const prepared = yield* AnthropicMessages.route.prepareTransport(compiled.body, request)
|
||||
expect(compiled.body.thinking).toEqual(
|
||||
enabled ? { type: "adaptive", block_binding: { prefix_mismatch_behavior: "drop_block" } } : undefined,
|
||||
)
|
||||
expect(prepared.request.headers["anthropic-beta"]).toBe(
|
||||
enabled ? "existing-beta,thinking-binding-controls-2026-08-01" : "existing-beta",
|
||||
)
|
||||
}),
|
||||
)
|
||||
}
|
||||
|
||||
it.effect("preserves explicit thinking settings and combines required beta headers", () =>
|
||||
Effect.gen(function* () {
|
||||
for (const thinking of [
|
||||
{ type: "disabled" },
|
||||
{ type: "adaptive", block_binding: { prefix_mismatch_behavior: "error" } },
|
||||
] as const) {
|
||||
const request = LLM.request({
|
||||
model: AnthropicMessages.route.model({ id: "claude-fable-5-1" }),
|
||||
prompt: "Hello",
|
||||
providerOptions: { thinking, contextManagement: { edits: [{ type: "compact_20260112" }] } },
|
||||
})
|
||||
const compiled = yield* compileRequest(request)
|
||||
const prepared = yield* AnthropicMessages.route.prepareTransport(compiled.body, request)
|
||||
expect(compiled.body.thinking).toEqual(thinking)
|
||||
expect(prepared.request.headers["anthropic-beta"]).toBe(
|
||||
thinking.type === "disabled" ? "compact-2026-01-12" : "compact-2026-01-12,thinking-binding-controls-2026-08-01",
|
||||
)
|
||||
}
|
||||
}),
|
||||
)
|
||||
@@ -0,0 +1,131 @@
|
||||
import { expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM, LLMEvent, Message, ToolDefinition } from "../../src/index.js"
|
||||
import { Moonshot } from "../../src/providers.js"
|
||||
import { LLMClient } from "../../src/route.js"
|
||||
import { recordedTests } from "../recorded-test.js"
|
||||
|
||||
const apiKey = process.env.MOONSHOT_API_KEY ?? process.env.MOONSHOTAI_API_KEY ?? "fixture"
|
||||
const requires = [process.env.MOONSHOT_API_KEY ? "MOONSHOT_API_KEY" : "MOONSHOTAI_API_KEY"]
|
||||
const schema = {
|
||||
type: "object",
|
||||
properties: { city: { type: "string", enum: ["Paris"] } },
|
||||
required: ["city"],
|
||||
additionalProperties: false,
|
||||
}
|
||||
const weather = ToolDefinition.make({
|
||||
name: "get_weather",
|
||||
description: "Get the current weather in a city",
|
||||
inputSchema: schema,
|
||||
})
|
||||
|
||||
for (const api of ["chat", "messages", "responses"] as const) {
|
||||
const model = Moonshot.configure({
|
||||
apiKey,
|
||||
providerOptions: api === "messages" ? { effort: "low" } : { reasoningEffort: "low" },
|
||||
})[api]("kimi-k3")
|
||||
const recorded = recordedTests({
|
||||
prefix: `moonshot-${api}`,
|
||||
provider: "moonshot",
|
||||
protocol: api,
|
||||
requires,
|
||||
metadata: { model: "kimi-k3" },
|
||||
})
|
||||
|
||||
for (const toolChoice of ["required", "none"] as const) {
|
||||
recorded.effect.with(
|
||||
`K3 ${api === "responses" ? "rejects unsupported" : "respects"} tool choice ${toolChoice}`,
|
||||
{ tags: ["tool", "tool-choice", api === "responses" ? "error" : "usage"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const generate = LLMClient.generate(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Use get_weather to look up the current weather in Paris.",
|
||||
tools: [weather],
|
||||
toolChoice,
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
if (api === "responses") {
|
||||
const error = yield* generate.pipe(Effect.flip)
|
||||
expect(error.reason._tag).toBe("InvalidRequest")
|
||||
expect(error.reason.http?.status).toBe(400)
|
||||
expect(error.message).toContain(`unsupported tool_choice value: "${toolChoice}"`)
|
||||
return
|
||||
}
|
||||
const response = yield* generate
|
||||
if (toolChoice === "required") {
|
||||
expect(response.toolCalls).toMatchObject([{ name: "get_weather", input: { city: "Paris" } }])
|
||||
expect(response.finishReason.normalized).toBe("tool-calls")
|
||||
}
|
||||
if (toolChoice === "none") {
|
||||
expect(response.toolCalls).toHaveLength(0)
|
||||
expect(response.text.length).toBeGreaterThan(0)
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
}
|
||||
expect(response.usage?.inputTokens).toBeGreaterThan(0)
|
||||
expect(response.usage?.outputTokens).toBeGreaterThan(0)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
|
||||
recorded.effect.with(
|
||||
"K3 reads image bytes",
|
||||
{ tags: ["image", "reasoning", "usage"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const image = yield* Effect.promise(() =>
|
||||
Bun.file(new URL("../fixtures/media/restroom.png", import.meta.url)).bytes(),
|
||||
)
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
Message.user([
|
||||
{ type: "text", text: "Read the three words in this image. Reply only with those words in order." },
|
||||
{ type: "media", mediaType: "image/png", data: image },
|
||||
]),
|
||||
],
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(response.text.toLowerCase()).toContain("jiggling restroom prison")
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
|
||||
recorded.effect.with(
|
||||
"K3 returns native structured output",
|
||||
{ tags: ["structured-output", "usage"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const format = { type: "json_schema", name: "location", schema, strict: true }
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Return a JSON object containing the capital city of France.",
|
||||
generation: { maxTokens: 4096 },
|
||||
http: {
|
||||
body:
|
||||
api === "chat"
|
||||
? {
|
||||
response_format: { type: "json_schema", json_schema: { name: "location", schema, strict: true } },
|
||||
}
|
||||
: api === "messages"
|
||||
? { output_config: { format: { type: "json_schema", schema } } }
|
||||
: { text: { format } },
|
||||
},
|
||||
}),
|
||||
)
|
||||
expect(JSON.parse(response.text)).toEqual({ city: "Paris" })
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expect(response.usage?.inputTokens).toBeGreaterThan(0)
|
||||
expect(response.usage?.outputTokens).toBeGreaterThan(0)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
@@ -0,0 +1,191 @@
|
||||
import { expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM, LLMEvent, LLMRequest, Message, ToolDefinition, type LLMResponse } from "../../src/index.js"
|
||||
import { Moonshot } from "../../src/providers.js"
|
||||
import { LLMClient } from "../../src/route.js"
|
||||
import { compileRequest } from "../../src/route/client.js"
|
||||
import { recordedTests } from "../recorded-test.js"
|
||||
|
||||
const apiKey = process.env.MOONSHOT_API_KEY ?? process.env.MOONSHOTAI_API_KEY ?? "fixture"
|
||||
const requires = [process.env.MOONSHOT_API_KEY ? "MOONSHOT_API_KEY" : "MOONSHOTAI_API_KEY"]
|
||||
|
||||
for (const api of ["chat", "messages", "responses"] as const) {
|
||||
const recorded = recordedTests({ prefix: `moonshot-${api}`, provider: "moonshot", protocol: api, requires })
|
||||
|
||||
for (const effort of [undefined, "low", "high", "max"] as const) {
|
||||
recorded.effect.with(
|
||||
`K3 streams text with ${effort ?? "default"} effort`,
|
||||
{ tags: ["text", "reasoning", "usage"], metadata: { model: "kimi-k3" } },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const request = LLM.request({
|
||||
model: Moonshot.configure({
|
||||
apiKey,
|
||||
providerOptions: api === "messages" ? { effort } : { reasoningEffort: effort },
|
||||
})[api]("kimi-k3"),
|
||||
prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
|
||||
generation: { maxTokens: 4096 },
|
||||
})
|
||||
const compiled = yield* compileRequest(request)
|
||||
expect(compiled.body.thinking).toBeUndefined()
|
||||
if (effort !== undefined) {
|
||||
expect(compiled.body).toMatchObject(
|
||||
api === "chat"
|
||||
? { reasoning_effort: effort }
|
||||
: api === "messages"
|
||||
? { output_config: { effort } }
|
||||
: { reasoning: { effort } },
|
||||
)
|
||||
}
|
||||
const response = yield* LLMClient.generate(request)
|
||||
expect(response.text.replaceAll(",", "")).toContain("37887")
|
||||
expect(response.reasoning.length).toBeGreaterThan(0)
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
|
||||
expectUsage(response)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
const chat = recordedTests({ prefix: "moonshot-chat", provider: "moonshot", protocol: "moonshot-chat", requires })
|
||||
for (const item of [
|
||||
{ model: "kimi-k2.6", name: "default thinking", thinking: undefined },
|
||||
{ model: "kimi-k2.6", name: "disabled thinking", thinking: { type: "disabled" } },
|
||||
{ model: "kimi-k2.6", name: "enabled thinking", thinking: { type: "enabled", keep: null } },
|
||||
{ model: "kimi-k2.7-code", name: "default thinking", thinking: undefined },
|
||||
{ model: "kimi-k2.7-code-highspeed", name: "default thinking", thinking: undefined },
|
||||
]) {
|
||||
chat.effect.with(
|
||||
`${item.model} streams text with ${item.name}`,
|
||||
{
|
||||
tags: ["text", "usage", item.thinking?.type === "disabled" ? "thinking-off" : "reasoning"],
|
||||
metadata: { model: item.model },
|
||||
},
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: Moonshot.configure({ apiKey, providerOptions: { thinking: item.thinking } }).chat(item.model),
|
||||
prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(response.text.replaceAll(",", "")).toContain("37887")
|
||||
expect(response.reasoning.length > 0).toBe(item.thinking?.type !== "disabled")
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expectUsage(response)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
|
||||
const weather = ToolDefinition.make({
|
||||
name: "get_weather",
|
||||
description: "Get the current weather in a city",
|
||||
inputSchema: {
|
||||
type: "object",
|
||||
properties: { city: { type: "string", enum: ["Paris"] } },
|
||||
required: ["city"],
|
||||
additionalProperties: false,
|
||||
},
|
||||
})
|
||||
|
||||
for (const item of [
|
||||
{ api: "chat", model: "kimi-k3", options: { reasoningEffort: "low" } },
|
||||
{ api: "messages", model: "kimi-k3", options: { effort: "low" } },
|
||||
{ api: "responses", model: "kimi-k3", options: { reasoningEffort: "low" } },
|
||||
{ api: "chat", model: "kimi-k2.6", options: { thinking: { type: "enabled", keep: "all" } } },
|
||||
{ api: "chat", model: "kimi-k2.7-code", options: {} },
|
||||
{ api: "chat", model: "kimi-k2.7-code-highspeed", options: {} },
|
||||
] as const) {
|
||||
const recorded = recordedTests({ prefix: `moonshot-${item.api}`, provider: "moonshot", protocol: item.api, requires })
|
||||
recorded.effect.with(
|
||||
`${item.model} preserves reasoning through a tool loop and follow-up`,
|
||||
{ tags: ["tool", "tool-loop", "reasoning", "continuation", "usage"], metadata: { model: item.model } },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const request = LLM.request({
|
||||
model: Moonshot.configure({ apiKey, providerOptions: item.options })[item.api](item.model),
|
||||
prompt:
|
||||
"Use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.",
|
||||
tools: [weather],
|
||||
generation: { maxTokens: 4096 },
|
||||
})
|
||||
const first = yield* LLMClient.generate(request)
|
||||
expect(first.finishReason.normalized).toBe("tool-calls")
|
||||
expect(first.toolCalls).toMatchObject([{ name: "get_weather", input: { city: "Paris" } }])
|
||||
expect(first.reasoning.length).toBeGreaterThan(0)
|
||||
expectUsage(first)
|
||||
const continuation = LLMRequest.update(request, {
|
||||
messages: [
|
||||
...request.messages,
|
||||
first.message,
|
||||
...first.toolCalls.map((call) =>
|
||||
Message.tool({ id: call.id, name: call.name, result: { condition: "sunny", temperature: "18C" } }),
|
||||
),
|
||||
],
|
||||
})
|
||||
const compiled = yield* compileRequest(continuation)
|
||||
if (item.api === "chat")
|
||||
expect(compiled.body.messages).toEqual(
|
||||
expect.arrayContaining([
|
||||
expect.objectContaining({ role: "assistant", reasoning_content: first.reasoning }),
|
||||
]),
|
||||
)
|
||||
if (item.api === "messages")
|
||||
expect(compiled.body.messages).toEqual(
|
||||
expect.arrayContaining([
|
||||
expect.objectContaining({
|
||||
role: "assistant",
|
||||
content: expect.arrayContaining(
|
||||
first.message.content
|
||||
.filter((part) => part.type === "reasoning")
|
||||
.map((part) => ({
|
||||
type: "thinking",
|
||||
thinking: part.text,
|
||||
signature: part.providerMetadata?.moonshot?.signature ?? "",
|
||||
})),
|
||||
),
|
||||
}),
|
||||
]),
|
||||
)
|
||||
if (item.api === "responses")
|
||||
expect(compiled.body.input).toEqual(
|
||||
expect.arrayContaining([
|
||||
expect.objectContaining({
|
||||
type: "reasoning",
|
||||
summary: expect.arrayContaining([{ type: "summary_text", text: first.reasoning }]),
|
||||
}),
|
||||
]),
|
||||
)
|
||||
const second = yield* LLMClient.generate(continuation)
|
||||
expect(second.text).toContain("Paris")
|
||||
expect(second.text.toLowerCase()).toContain("sunny")
|
||||
expect(second.toolCalls).toHaveLength(0)
|
||||
expect(second.finishReason.normalized).toBe("stop")
|
||||
expectUsage(second)
|
||||
const third = yield* LLMClient.generate(
|
||||
LLMRequest.update(continuation, {
|
||||
messages: [
|
||||
...continuation.messages,
|
||||
second.message,
|
||||
Message.user("What temperature did the tool report? Reply with only the temperature."),
|
||||
],
|
||||
}),
|
||||
)
|
||||
expect(third.text).toContain("18")
|
||||
expect(third.toolCalls).toHaveLength(0)
|
||||
expect(third.finishReason.normalized).toBe("stop")
|
||||
expectUsage(third)
|
||||
}),
|
||||
180_000,
|
||||
)
|
||||
}
|
||||
|
||||
function expectUsage(response: LLMResponse) {
|
||||
expect(response.usage?.inputTokens).toBeGreaterThan(0)
|
||||
expect(response.usage?.outputTokens).toBeGreaterThan(0)
|
||||
expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
|
||||
}
|
||||
@@ -0,0 +1,214 @@
|
||||
import { expect } from "bun:test"
|
||||
import { ConfigProvider, Effect } from "effect"
|
||||
import { Headers } from "effect/unstable/http"
|
||||
import { Auth, LLM, LLMClient, Message, ReasoningPart, ToolDefinition } from "../../src/index.js"
|
||||
import { Moonshot } from "../../src/providers.js"
|
||||
import { AnthropicMessages } from "../../src/protocols/anthropic-messages.js"
|
||||
import { OpenResponses } from "../../src/protocols/open-responses.js"
|
||||
import { compileRequest } from "../../src/route/client.js"
|
||||
import { Endpoint } from "../../src/route/endpoint.js"
|
||||
import { it } from "../lib/effect.js"
|
||||
import { dynamicResponse } from "../lib/http.js"
|
||||
import { sseEvents } from "../lib/sse.js"
|
||||
|
||||
it.effect("Moonshot composes shared protocols with explicit endpoints and bearer authentication", () =>
|
||||
Effect.gen(function* () {
|
||||
const moonshot = Moonshot.configure()
|
||||
expect(moonshot.model).toBe(moonshot.chat)
|
||||
expect(moonshot.messages("kimi-k3").route.body).toBe(AnthropicMessages.protocol.body)
|
||||
expect(moonshot.responses("kimi-k3").route.body).toBe(OpenResponses.protocol.body)
|
||||
for (const item of [
|
||||
{ model: moonshot.chat("kimi-k3"), path: "/v1/chat/completions" },
|
||||
{ model: moonshot.messages("kimi-k3"), path: "/anthropic/v1/messages" },
|
||||
{ model: moonshot.responses("kimi-k3"), path: "/v1/responses" },
|
||||
]) {
|
||||
const request = LLM.request({ model: item.model, prompt: "Hello" })
|
||||
const compiled = yield* compileRequest(request)
|
||||
const url = Endpoint.render(item.model.route.endpoint, { request, body: compiled.body }).toString()
|
||||
expect(url).toBe(`https://api.moonshot.ai${item.path}`)
|
||||
expect(item.model.provider).toBe("moonshotai")
|
||||
expect(item.model.route.providerMetadataKey).toBe("moonshot")
|
||||
const headers = yield* item.model.route.auth.apply({
|
||||
request,
|
||||
method: "POST",
|
||||
url,
|
||||
body: "{}",
|
||||
headers: Headers.empty,
|
||||
})
|
||||
expect(headers.authorization).toBe("Bearer primary")
|
||||
}
|
||||
}).pipe(
|
||||
Effect.provide(
|
||||
ConfigProvider.layer(
|
||||
ConfigProvider.fromEnv({ env: { MOONSHOT_API_KEY: "primary", MOONSHOTAI_API_KEY: "fallback" } }),
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("Moonshot preserves default reasoning across model IDs on custom endpoints", () =>
|
||||
Effect.gen(function* () {
|
||||
const moonshot = Moonshot.configure({
|
||||
baseURL: "https://gateway.example/v1",
|
||||
auth: Auth.header("x-api-key", "fixture"),
|
||||
})
|
||||
for (const id of ["kimi-k2.6", "kimi-k2.7-code", "kimi-k2.7-code-highspeed", "kimi-k3", "future-model"]) {
|
||||
const model = moonshot.chat(id)
|
||||
const request = LLM.request({ model, prompt: "Hello", generation: { maxTokens: 100 } })
|
||||
const compiled = yield* compileRequest(request)
|
||||
expect(compiled.body).toMatchObject({ model: id, max_tokens: 100, stream: true })
|
||||
expect(compiled.body.max_completion_tokens).toBeUndefined()
|
||||
expect(compiled.body.store).toBeUndefined()
|
||||
expect(compiled.body.thinking).toBeUndefined()
|
||||
expect(compiled.body.reasoning_effort).toBeUndefined()
|
||||
expect(model.route.endpoint.baseURL).toBe("https://gateway.example/v1")
|
||||
const headers = yield* model.route.auth.apply({
|
||||
request,
|
||||
method: "POST",
|
||||
url: "https://gateway.example/v1/chat/completions",
|
||||
body: "{}",
|
||||
headers: Headers.empty,
|
||||
})
|
||||
expect(headers["x-api-key"]).toBe("fixture")
|
||||
expect(headers.authorization).toBeUndefined()
|
||||
}
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("Moonshot honors fallback credentials and final HTTP body overlays", () =>
|
||||
LLMClient.generate(
|
||||
LLM.request({
|
||||
model: Moonshot.configure({ providerOptions: { reasoningEffort: "high" } }).responses("kimi-k3"),
|
||||
prompt: "Hello",
|
||||
providerOptions: { reasoningEffort: "low" },
|
||||
http: { body: { reasoning: { effort: "max" }, future_option: true } },
|
||||
}),
|
||||
).pipe(
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.sync(() => {
|
||||
expect(input.request.headers.authorization).toBe("Bearer fallback")
|
||||
expect(JSON.parse(input.text)).toMatchObject({ reasoning: { effort: "max" }, future_option: true })
|
||||
return input.respond(sseEvents({ type: "response.completed", response: {} }), {
|
||||
headers: { "content-type": "text/event-stream" },
|
||||
})
|
||||
}),
|
||||
),
|
||||
),
|
||||
Effect.provide(ConfigProvider.layer(ConfigProvider.fromEnv({ env: { MOONSHOTAI_API_KEY: "fallback" } }))),
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("Moonshot lowers API-specific reasoning options without adding unrelated controls", () =>
|
||||
Effect.gen(function* () {
|
||||
const moonshot = Moonshot.configure({ apiKey: "fixture" })
|
||||
for (const thinking of [{ type: "disabled" }, { type: "enabled", keep: "all" }, { type: "enabled", keep: null }]) {
|
||||
const result = yield* compileRequest(
|
||||
LLM.request({ model: moonshot.chat("kimi-k2.6"), providerOptions: { thinking } }),
|
||||
)
|
||||
expect(result.body.thinking).toEqual(thinking)
|
||||
expect(result.body.reasoning_effort).toBeUndefined()
|
||||
}
|
||||
for (const effort of ["low", "high", "max", "future-effort"]) {
|
||||
const chat = yield* compileRequest(
|
||||
LLM.request({ model: moonshot.chat("kimi-k3"), providerOptions: { reasoningEffort: effort } }),
|
||||
)
|
||||
const messages = yield* compileRequest(
|
||||
LLM.request({ model: moonshot.messages("kimi-k3"), providerOptions: { effort } }),
|
||||
)
|
||||
const responses = yield* compileRequest(
|
||||
LLM.request({ model: moonshot.responses("kimi-k3"), providerOptions: { reasoningEffort: effort } }),
|
||||
)
|
||||
expect(chat.body.reasoning_effort).toBe(effort)
|
||||
expect(messages.body.output_config).toEqual({ effort })
|
||||
expect(responses.body.reasoning).toEqual({ effort })
|
||||
for (const compiled of [chat, messages, responses]) expect(compiled.body.thinking).toBeUndefined()
|
||||
expect(responses.body.store).toBeUndefined()
|
||||
expect(responses.body.include).toBeUndefined()
|
||||
}
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("Moonshot validates native Chat thinking options", () =>
|
||||
Effect.gen(function* () {
|
||||
const invalid = Moonshot.configure({ apiKey: "fixture" })
|
||||
.chat("kimi-k2.6")
|
||||
.route.with({ providerOptions: { thinking: { type: "enabled", keep: 42 } } })
|
||||
.model({ id: "kimi-k2.6" })
|
||||
const failure = yield* compileRequest(LLM.request({ model: invalid })).pipe(Effect.flip)
|
||||
expect(failure.reason._tag).toBe("InvalidRequest")
|
||||
expect(failure.message).toContain("keep")
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("Moonshot retains unsigned and signed Messages reasoning and projects tool schemas", () =>
|
||||
Effect.gen(function* () {
|
||||
const compiled = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: Moonshot.configure({ apiKey: "fixture" }).messages("kimi-k3"),
|
||||
messages: [
|
||||
Message.user("Hello"),
|
||||
Message.assistant([
|
||||
ReasoningPart.make({ type: "reasoning", text: "Unsigned" }),
|
||||
ReasoningPart.make({
|
||||
type: "reasoning",
|
||||
text: "Signed",
|
||||
providerMetadata: { moonshot: { signature: "opaque-signature" } },
|
||||
}),
|
||||
]),
|
||||
],
|
||||
tools: [
|
||||
ToolDefinition.make({
|
||||
name: "lookup",
|
||||
description: "Look up a pair",
|
||||
inputSchema: {
|
||||
type: "object",
|
||||
properties: { pair: { type: "array", prefixItems: [{ type: "string" }, { type: "number" }] } },
|
||||
},
|
||||
}),
|
||||
],
|
||||
}),
|
||||
)
|
||||
expect(compiled.body.messages).toEqual(
|
||||
expect.arrayContaining([
|
||||
expect.objectContaining({
|
||||
role: "assistant",
|
||||
content: [
|
||||
{ type: "thinking", thinking: "Unsigned", signature: "" },
|
||||
{ type: "thinking", thinking: "Signed", signature: "opaque-signature" },
|
||||
],
|
||||
}),
|
||||
]),
|
||||
)
|
||||
expect(compiled.body.tools).toEqual(
|
||||
expect.arrayContaining([
|
||||
expect.objectContaining({
|
||||
input_schema: {
|
||||
type: "object",
|
||||
properties: { pair: { type: "array", items: { anyOf: [{ type: "string" }, { type: "number" }] } } },
|
||||
},
|
||||
}),
|
||||
]),
|
||||
)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("Moonshot Responses uses HTTP even with a WebSocket executor", () =>
|
||||
LLMClient.generate(
|
||||
LLM.request({ model: Moonshot.configure({ apiKey: "fixture" }).responses("kimi-k3"), prompt: "Hello" }),
|
||||
{
|
||||
webSocket: { execute: () => Effect.die("Unexpected WebSocket request") },
|
||||
},
|
||||
).pipe(
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.sync(() => {
|
||||
expect(input.request.url).toBe("https://api.moonshot.ai/v1/responses")
|
||||
return input.respond(sseEvents({ type: "response.completed", response: {} }), {
|
||||
headers: { "content-type": "text/event-stream" },
|
||||
})
|
||||
}),
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
@@ -0,0 +1,156 @@
|
||||
import { expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM, LLMEvent, Message, ToolDefinition } from "../../src/index.js"
|
||||
import { ZAI } from "../../src/providers.js"
|
||||
import { LLMClient } from "../../src/route.js"
|
||||
import { recordedTests } from "../recorded-test.js"
|
||||
|
||||
const apiKey = process.env.ZAI_API_KEY ?? "fixture"
|
||||
const recorded = recordedTests({ prefix: "zai-chat", provider: "zai", protocol: "zai-chat", requires: ["ZAI_API_KEY"] })
|
||||
|
||||
recorded.effect.with(
|
||||
"GLM 5.3 rejects disabled thinking",
|
||||
{ tags: ["thinking", "model-specific", "error"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({ apiKey, providerOptions: { thinking: { type: "disabled" } } }).chat("glm-5.3"),
|
||||
prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
).pipe(Effect.flip)
|
||||
expect(error.reason._tag).toBe("InvalidRequest")
|
||||
expect(error.reason.http?.status).toBe(400)
|
||||
expect(error.message).toContain("always engages in thinking and cannot be disabled")
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
|
||||
for (const modelID of ["glm-4.7", "glm-5.2"]) {
|
||||
for (const type of ["enabled", "disabled"] as const) {
|
||||
recorded.effect.with(
|
||||
`${modelID} streams thinking ${type}`,
|
||||
{ tags: ["text", "thinking", "usage"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({ apiKey, providerOptions: { thinking: { type, clear_thinking: true } } }).chat(
|
||||
modelID,
|
||||
),
|
||||
prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(response.text.replaceAll(",", "")).toContain("37887")
|
||||
expect(response.reasoning.length > 0).toBe(type === "enabled")
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expect(response.usage?.inputTokens).toBeGreaterThan(0)
|
||||
expect(response.usage?.outputTokens).toBeGreaterThan(0)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
for (const effort of ["none", "minimal", "low", "medium", "high", "xhigh", "max"] as const) {
|
||||
recorded.effect.with(
|
||||
`GLM 5.2 streams ${effort} effort`,
|
||||
{ tags: ["text", "effort", "usage"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({ apiKey, providerOptions: { reasoningEffort: effort } }).chat("glm-5.2"),
|
||||
prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(response.text.replaceAll(",", "")).toContain("37887")
|
||||
// The direct API still returned reasoning for none/minimal in these recordings.
|
||||
expect(response.reasoning.length).toBeGreaterThan(0)
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expect(response.usage?.inputTokens).toBeGreaterThan(0)
|
||||
expect(response.usage?.outputTokens).toBeGreaterThan(0)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
|
||||
recorded.effect.with(
|
||||
"GLM 5.3 Flash reads image bytes",
|
||||
{ tags: ["image", "reasoning"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const bytes = yield* Effect.promise(() =>
|
||||
Bun.file(new URL("../fixtures/media/restroom.png", import.meta.url)).bytes(),
|
||||
)
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({ apiKey, providerOptions: { reasoningEffort: "low" } }).chat("glm-5.3-flash"),
|
||||
messages: [
|
||||
Message.user([
|
||||
{ type: "text", text: "Read the three words in this image. Reply with only the words in order." },
|
||||
{ type: "media", mediaType: "image/png", data: bytes },
|
||||
]),
|
||||
],
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(response.text.toLowerCase()).toContain("jiggling restroom prison")
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
|
||||
recorded.effect.with(
|
||||
"GLM 5.3 returns a JSON object",
|
||||
{ tags: ["structured-output"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({
|
||||
apiKey,
|
||||
providerOptions: { reasoningEffort: "low", responseFormat: { type: "json_object" } },
|
||||
}).chat("glm-5.3"),
|
||||
prompt: 'Return a JSON object with one key "city" set to the capital city of France.',
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(JSON.parse(response.text)).toEqual({ city: "Paris" })
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
|
||||
recorded.effect.with(
|
||||
"GLM 4.5 calls a tool without streaming arguments",
|
||||
{ tags: ["tool", "legacy"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({ apiKey }).chat("glm-4.5"),
|
||||
prompt: "Use get_weather to look up the current weather in Paris.",
|
||||
tools: [
|
||||
ToolDefinition.make({
|
||||
name: "get_weather",
|
||||
description: "Get weather in a city",
|
||||
inputSchema: {
|
||||
type: "object",
|
||||
properties: { city: { type: "string", enum: ["Paris"] } },
|
||||
required: ["city"],
|
||||
},
|
||||
}),
|
||||
],
|
||||
generation: { maxTokens: 4096 },
|
||||
}),
|
||||
)
|
||||
expect(response.toolCalls).toMatchObject([{ name: "get_weather", input: { city: "Paris" } }])
|
||||
expect(response.finishReason.normalized).toBe("tool-calls")
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
@@ -0,0 +1,113 @@
|
||||
import { expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM, LLMEvent, LLMRequest, Message, ToolDefinition, type LLMResponse } from "../../src/index.js"
|
||||
import { ZAI } from "../../src/providers.js"
|
||||
import { LLMClient } from "../../src/route.js"
|
||||
import { compileRequest } from "../../src/route/client.js"
|
||||
import { recordedTests } from "../recorded-test.js"
|
||||
|
||||
const apiKey = process.env.ZAI_API_KEY ?? "fixture"
|
||||
const recorded = recordedTests({ prefix: "zai-chat", provider: "zai", protocol: "zai-chat", requires: ["ZAI_API_KEY"] })
|
||||
const weather = ToolDefinition.make({
|
||||
name: "get_weather",
|
||||
description: "Get the current weather in a city",
|
||||
inputSchema: {
|
||||
type: "object",
|
||||
properties: { city: { type: "string", enum: ["Paris"] } },
|
||||
required: ["city"],
|
||||
additionalProperties: false,
|
||||
},
|
||||
})
|
||||
|
||||
for (const effort of [undefined, "low", "high", "max"] as const) {
|
||||
recorded.effect.with(
|
||||
`GLM 5.3 streams ${effort ?? "default"} effort`,
|
||||
{ tags: ["text", "reasoning", "usage"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const request = LLM.request({
|
||||
model: ZAI.configure({ apiKey, providerOptions: { reasoningEffort: effort } }).model("glm-5.3"),
|
||||
prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
|
||||
generation: { maxTokens: 4096 },
|
||||
})
|
||||
const compiled = yield* compileRequest(request)
|
||||
expect(compiled.body.thinking).toBeUndefined()
|
||||
expect(compiled.body.reasoning_effort).toBe(effort)
|
||||
const response = yield* LLMClient.generate(request)
|
||||
expect(response.text.replaceAll(",", "")).toContain("37887")
|
||||
expect(response.reasoning.length).toBeGreaterThan(0)
|
||||
expect(response.finishReason.normalized).toBe("stop")
|
||||
expectUsage(response)
|
||||
}),
|
||||
120_000,
|
||||
)
|
||||
}
|
||||
|
||||
recorded.effect.with(
|
||||
"GLM 5.3 preserves reasoning through a tool loop and follow-up",
|
||||
{ tags: ["tool", "tool-loop", "reasoning", "continuation"] },
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const request = LLM.request({
|
||||
model: ZAI.configure({
|
||||
apiKey,
|
||||
providerOptions: { reasoningEffort: "high", thinking: { type: "enabled", clear_thinking: false } },
|
||||
}).chat("glm-5.3"),
|
||||
prompt:
|
||||
"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.",
|
||||
tools: [weather],
|
||||
generation: { maxTokens: 4096 },
|
||||
})
|
||||
const first = yield* LLMClient.generate(request)
|
||||
expect(first.toolCalls).toMatchObject([{ name: "get_weather", input: { city: "Paris" } }])
|
||||
expect(first.finishReason.normalized).toBe("tool-calls")
|
||||
expect(first.reasoning.length).toBeGreaterThan(0)
|
||||
expect(first.events.some(LLMEvent.is.toolInputDelta)).toBe(true)
|
||||
expectUsage(first)
|
||||
const continuation = LLMRequest.update(request, {
|
||||
messages: [
|
||||
...request.messages,
|
||||
first.message,
|
||||
...first.toolCalls.map((call) =>
|
||||
Message.tool({ id: call.id, name: call.name, result: { condition: "sunny", temperature: "18C" } }),
|
||||
),
|
||||
],
|
||||
})
|
||||
const compiled = yield* compileRequest(continuation)
|
||||
expect(compiled.body.messages).toEqual(
|
||||
expect.arrayContaining([expect.objectContaining({ role: "assistant", reasoning_content: first.reasoning })]),
|
||||
)
|
||||
const second = yield* LLMClient.generate(continuation)
|
||||
expect(second.text.toLowerCase()).toContain("sunny")
|
||||
expect(second.toolCalls).toHaveLength(0)
|
||||
expect(second.finishReason.normalized).toBe("stop")
|
||||
expectUsage(second)
|
||||
const followUp = LLMRequest.update(continuation, {
|
||||
messages: [
|
||||
...continuation.messages,
|
||||
second.message,
|
||||
Message.user("What temperature did the tool report? Reply with only the temperature."),
|
||||
],
|
||||
})
|
||||
const replay = yield* compileRequest(followUp)
|
||||
expect(replay.body.messages).toEqual(
|
||||
expect.arrayContaining(
|
||||
[first, second].map((response) =>
|
||||
expect.objectContaining({ role: "assistant", reasoning_content: response.reasoning }),
|
||||
),
|
||||
),
|
||||
)
|
||||
const third = yield* LLMClient.generate(followUp)
|
||||
expect(third.text).toContain("18")
|
||||
expect(third.toolCalls).toHaveLength(0)
|
||||
expect(third.finishReason.normalized).toBe("stop")
|
||||
expectUsage(third)
|
||||
}),
|
||||
180_000,
|
||||
)
|
||||
|
||||
function expectUsage(response: LLMResponse) {
|
||||
expect(response.usage?.inputTokens).toBeGreaterThan(0)
|
||||
expect(response.usage?.outputTokens).toBeGreaterThan(0)
|
||||
expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
|
||||
}
|
||||
@@ -0,0 +1,301 @@
|
||||
import { expect } from "bun:test"
|
||||
import { ConfigProvider, Effect } from "effect"
|
||||
import { Headers } from "effect/unstable/http"
|
||||
import { Auth, LLM, LLMClient, Message, ReasoningPart, ToolDefinition } from "../../src/index.js"
|
||||
import { ZAI, ZAICodingPlan } from "../../src/providers.js"
|
||||
import { compileRequest } from "../../src/route/client.js"
|
||||
import { Endpoint } from "../../src/route/endpoint.js"
|
||||
import { it } from "../lib/effect.js"
|
||||
import { dynamicResponse } from "../lib/http.js"
|
||||
import { sseEvents } from "../lib/sse.js"
|
||||
|
||||
const tool = ToolDefinition.make({
|
||||
name: "lookup",
|
||||
description: "Look up a value",
|
||||
inputSchema: { type: "object", properties: { key: { type: "string" } } },
|
||||
})
|
||||
|
||||
it.effect("ZAI owns standard and Coding Plan endpoints and bearer credentials", () =>
|
||||
Effect.gen(function* () {
|
||||
expect(ZAI.provider.model).toBe(ZAI.provider.chat)
|
||||
expect(ZAICodingPlan.provider.model).toBe(ZAICodingPlan.provider.chat)
|
||||
for (const item of [
|
||||
{ model: ZAI.chat("glm-5.3"), path: "/paas/v4/chat/completions", provider: "zai" },
|
||||
{ model: ZAICodingPlan.chat("glm-5.3"), path: "/coding/paas/v4/chat/completions", provider: "zai-coding-plan" },
|
||||
{ model: ZAICodingPlan.messages("glm-5.3"), path: "/anthropic/v1/messages", provider: "zai-coding-plan" },
|
||||
{ model: ZAICodingPlan.responses("glm-5.3"), path: "/v1/responses", provider: "zai-coding-plan" },
|
||||
]) {
|
||||
const request = LLM.request({ model: item.model, prompt: "Hello" })
|
||||
const compiled = yield* compileRequest(request)
|
||||
const url = Endpoint.render(item.model.route.endpoint, { request, body: compiled.body }).toString()
|
||||
expect(url).toBe(`https://api.z.ai/api${item.path}`)
|
||||
expect(item.model.provider).toBe(item.provider)
|
||||
expect(item.model.route.providerMetadataKey).toBe("zai")
|
||||
expect(compiled.body.thinking).toBeUndefined()
|
||||
expect(compiled.body.reasoning_effort).toBeUndefined()
|
||||
expect(compiled.body.reasoning).toBeUndefined()
|
||||
expect(compiled.body.output_config).toBeUndefined()
|
||||
const headers = yield* item.model.route.auth.apply({
|
||||
request,
|
||||
method: "POST",
|
||||
url,
|
||||
body: "{}",
|
||||
headers: Headers.empty,
|
||||
})
|
||||
expect(headers.authorization).toBe("Bearer fixture")
|
||||
}
|
||||
}).pipe(Effect.provide(ConfigProvider.layer(ConfigProvider.fromEnv({ env: { ZAI_API_KEY: "fixture" } })))),
|
||||
)
|
||||
|
||||
it.effect("ZAI Chat retains native thinking fields and scopes tool streaming to supported models", () =>
|
||||
Effect.gen(function* () {
|
||||
for (const configure of [ZAI.configure, ZAICodingPlan.configure]) {
|
||||
const provider = configure({
|
||||
baseURL: "https://gateway.example/custom",
|
||||
auth: Auth.header("x-test-key", "fixture"),
|
||||
})
|
||||
for (const modelID of [
|
||||
"glm-4.5",
|
||||
"glm-4.5-air",
|
||||
"glm-4.5-x",
|
||||
"glm-4.6",
|
||||
"glm-4.7-flash",
|
||||
"glm-5.3",
|
||||
"glm-5.3-flash",
|
||||
"future-model",
|
||||
]) {
|
||||
const result = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: provider.chat(modelID),
|
||||
prompt: "Hello",
|
||||
generation: { maxTokens: 123 },
|
||||
tools: [tool],
|
||||
providerOptions: { thinking: { type: "enabled", clear_thinking: false } },
|
||||
}),
|
||||
)
|
||||
expect(result.body).toMatchObject({
|
||||
model: modelID,
|
||||
max_tokens: 123,
|
||||
thinking: { type: "enabled", clear_thinking: false },
|
||||
})
|
||||
expect(result.body.tool_stream).toBe(
|
||||
["glm-4.6", "glm-4.7-flash", "glm-5.3", "glm-5.3-flash"].includes(modelID) ? true : undefined,
|
||||
)
|
||||
expect(result.body.max_completion_tokens).toBeUndefined()
|
||||
expect(result.body.store).toBeUndefined()
|
||||
expect(result.body.tools).toEqual([
|
||||
expect.objectContaining({ function: expect.not.objectContaining({ strict: expect.anything() }) }),
|
||||
])
|
||||
}
|
||||
for (const thinking of [
|
||||
undefined,
|
||||
{ type: "disabled" },
|
||||
{ clear_thinking: false },
|
||||
{ type: "enabled", clear_thinking: true },
|
||||
]) {
|
||||
const result = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: provider.chat("glm-5.2"),
|
||||
providerOptions: {
|
||||
thinking,
|
||||
toolStream: false,
|
||||
doSample: false,
|
||||
responseFormat: { type: "json_object" },
|
||||
requestID: "request-1",
|
||||
userID: "user-1",
|
||||
},
|
||||
tools: [tool],
|
||||
}),
|
||||
)
|
||||
expect(result.body.thinking).toEqual(thinking)
|
||||
expect(result.body).toMatchObject({
|
||||
tool_stream: false,
|
||||
do_sample: false,
|
||||
response_format: { type: "json_object" },
|
||||
request_id: "request-1",
|
||||
user_id: "user-1",
|
||||
})
|
||||
}
|
||||
}
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("ZAI lowers effort using the selected native API without inventing thinking settings", () =>
|
||||
Effect.gen(function* () {
|
||||
for (const effort of ["none", "minimal", "low", "medium", "high", "xhigh", "max", "future-effort"]) {
|
||||
const standard = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: ZAI.configure({ apiKey: "fixture" }).chat("glm-5.3"),
|
||||
providerOptions: { reasoningEffort: effort },
|
||||
}),
|
||||
)
|
||||
const coding = ZAICodingPlan.configure({ apiKey: "fixture" })
|
||||
const chat = yield* compileRequest(
|
||||
LLM.request({ model: coding.chat("glm-5.3"), providerOptions: { reasoningEffort: effort } }),
|
||||
)
|
||||
const messages = yield* compileRequest(
|
||||
LLM.request({ model: coding.messages("glm-5.3"), providerOptions: { effort } }),
|
||||
)
|
||||
const responses = yield* compileRequest(
|
||||
LLM.request({ model: coding.responses("glm-5.3"), providerOptions: { reasoningEffort: effort } }),
|
||||
)
|
||||
expect(standard.body.reasoning_effort).toBe(effort)
|
||||
expect(chat.body.reasoning_effort).toBe(effort)
|
||||
expect(messages.body.output_config).toEqual({ effort })
|
||||
expect(responses.body.reasoning).toEqual({ effort })
|
||||
for (const result of [standard, chat, messages, responses]) expect(result.body.thinking).toBeUndefined()
|
||||
}
|
||||
for (const type of ["enabled", "adaptive", "disabled"]) {
|
||||
const result = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: ZAICodingPlan.configure({ apiKey: "fixture", providerOptions: { thinking: { type } } }).messages(
|
||||
"glm-5.3",
|
||||
),
|
||||
}),
|
||||
)
|
||||
expect(result.body.thinking).toEqual({ type })
|
||||
}
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("ZAI rejects invalid typed thinking options before execution", () =>
|
||||
Effect.gen(function* () {
|
||||
const model = ZAI.configure({ apiKey: "fixture" })
|
||||
.chat("glm-5.3")
|
||||
.route.with({ providerOptions: { thinking: { clear_thinking: "false" } } })
|
||||
.model({ id: "glm-5.3" })
|
||||
const error = yield* compileRequest(LLM.request({ model })).pipe(Effect.flip)
|
||||
expect(error.reason._tag).toBe("InvalidRequest")
|
||||
expect(error.message).toContain("clear_thinking")
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("ZAI preserves unsigned and signed Messages reasoning", () =>
|
||||
Effect.gen(function* () {
|
||||
const result = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: ZAICodingPlan.configure({ apiKey: "fixture" }).messages("glm-5.3"),
|
||||
messages: [
|
||||
Message.user("Hello"),
|
||||
Message.assistant([
|
||||
ReasoningPart.make({ type: "reasoning", text: "unsigned" }),
|
||||
ReasoningPart.make({
|
||||
type: "reasoning",
|
||||
text: "signed",
|
||||
providerMetadata: { zai: { signature: "opaque" } },
|
||||
}),
|
||||
]),
|
||||
],
|
||||
}),
|
||||
)
|
||||
expect(result.body.messages).toEqual(
|
||||
expect.arrayContaining([
|
||||
expect.objectContaining({
|
||||
role: "assistant",
|
||||
content: [
|
||||
{ type: "thinking", thinking: "unsigned", signature: "" },
|
||||
{ type: "thinking", thinking: "signed", signature: "opaque" },
|
||||
],
|
||||
}),
|
||||
]),
|
||||
)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("ZAI applies configured options, request options, and final body overlays in order", () =>
|
||||
LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAI.configure({
|
||||
apiKey: "fixture",
|
||||
baseURL: "https://gateway.example/custom",
|
||||
providerOptions: { thinking: { type: "enabled", clear_thinking: true }, reasoningEffort: "high" },
|
||||
}).chat("glm-5.3"),
|
||||
prompt: "Hello",
|
||||
providerOptions: { thinking: { clear_thinking: false }, reasoningEffort: "low" },
|
||||
http: { body: { reasoning_effort: "max", extension: true } },
|
||||
}),
|
||||
).pipe(
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.sync(() => {
|
||||
expect(input.request.url).toBe("https://gateway.example/custom/chat/completions")
|
||||
expect(input.request.headers.authorization).toBe("Bearer fixture")
|
||||
expect(JSON.parse(input.text)).toMatchObject({
|
||||
thinking: { type: "enabled", clear_thinking: false },
|
||||
reasoning_effort: "max",
|
||||
extension: true,
|
||||
})
|
||||
return input.respond(
|
||||
sseEvents({ choices: [{ delta: { content: "Hello" }, finish_reason: "stop" }] }, "[DONE]"),
|
||||
{ headers: { "content-type": "text/event-stream" } },
|
||||
)
|
||||
}),
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("ZAI Coding Responses uses HTTP with a supplied WebSocket executor", () =>
|
||||
LLMClient.generate(
|
||||
LLM.request({ model: ZAICodingPlan.configure({ apiKey: "fixture" }).responses("glm-5.3"), prompt: "Hello" }),
|
||||
{
|
||||
webSocket: { execute: () => Effect.die("Unexpected WebSocket") },
|
||||
},
|
||||
).pipe(
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.sync(() => {
|
||||
expect(input.request.url).toBe("https://api.z.ai/api/v1/responses")
|
||||
return input.respond(sseEvents({ type: "response.completed", response: {} }), {
|
||||
headers: { "content-type": "text/event-stream" },
|
||||
})
|
||||
}),
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("ZAI Coding Messages serializes enabled thinking without a token budget", () =>
|
||||
LLMClient.generate(
|
||||
LLM.request({
|
||||
model: ZAICodingPlan.configure({
|
||||
apiKey: "fixture",
|
||||
baseURL: "https://gateway.example/messages/v1",
|
||||
providerOptions: { thinking: { type: "enabled" }, effort: "max" },
|
||||
}).messages("glm-5.3"),
|
||||
prompt: "Hello",
|
||||
providerOptions: { effort: "high" },
|
||||
}),
|
||||
).pipe(
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.sync(() => {
|
||||
expect(input.request.url).toBe("https://gateway.example/messages/v1/messages")
|
||||
expect(input.request.headers.authorization).toBe("Bearer fixture")
|
||||
expect(input.request.headers["anthropic-version"]).toBe("2023-06-01")
|
||||
expect(JSON.parse(input.text)).toMatchObject({
|
||||
thinking: { type: "enabled" },
|
||||
output_config: { effort: "high" },
|
||||
})
|
||||
return input.respond(
|
||||
sseEvents(
|
||||
{
|
||||
type: "message_start",
|
||||
message: {
|
||||
id: "msg_fixture",
|
||||
role: "assistant",
|
||||
model: "glm-5.3",
|
||||
content: [],
|
||||
usage: { input_tokens: 1, output_tokens: 0 },
|
||||
},
|
||||
},
|
||||
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 1 } },
|
||||
{ type: "message_stop" },
|
||||
),
|
||||
{ headers: { "content-type": "text/event-stream" } },
|
||||
)
|
||||
}),
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
+33
-2
@@ -83,8 +83,39 @@ Changes merged into `v2` reach the beta site when they are promoted to `beta`. T
|
||||
only the web app, using the same `WebApp` StaticSite definition as production. It sets the build channel
|
||||
and Sentry environment to `beta` without deploying the API, console, database, or billing infrastructure.
|
||||
|
||||
The hosted app defaults to `http://localhost:49374`, matching the managed V2 service. Saved server selections
|
||||
override this default. Connecting still requires the service's credentials.
|
||||
`VITE_OPENCODE_SERVER_MODE` controls which server the web build provides at startup:
|
||||
|
||||
| Mode | Initial server |
|
||||
| ------------------ | ------------------------------------------------------------------------------------ |
|
||||
| `none` | No initial server. The beta deployment uses this mode. |
|
||||
| `origin` (default) | The current page's origin. CLI builds explicitly use this mode for `opencode serve`. |
|
||||
|
||||
In Vite development mode, `origin` uses `VITE_OPENCODE_SERVER_HOST` / `VITE_OPENCODE_SERVER_PORT`
|
||||
(default: `http://localhost:4096`) instead of the frontend origin. Both modes restore user-added servers
|
||||
from storage. Desktop provides the local server it discovers or starts through native initialization.
|
||||
|
||||
With no configured servers, the app shows a full-screen connection form. Enter a server address and password,
|
||||
or choose **Scan QR code** to open the camera and read the JSON pairing code from `opencode pair`.
|
||||
Scanning fills the form and immediately attempts to connect. Failed connections leave the details available
|
||||
to edit and retry with **Connect**. Credentials are checked before saving the server. Camera access requires
|
||||
HTTPS (or localhost) and browser permission. Saved offline servers continue to use the normal app UI.
|
||||
|
||||
When the service is exposed through an HTTPS reverse proxy, advertise its external address at runtime:
|
||||
|
||||
```bash
|
||||
opencode pair --url https://your-machine.your-tailnet.ts.net
|
||||
```
|
||||
|
||||
This replaces the addresses printed and encoded in the QR code while retaining the local service password.
|
||||
The proxy URL must reach the OpenCode API, not just the frontend. For separate frontend and API processes,
|
||||
route `/api` to the service while preserving the `/api` prefix. No machine-specific app or CLI build is required.
|
||||
|
||||
When an HTTPS page fails to connect to a non-loopback HTTP server, the connection forms show a specific
|
||||
HTTPS-to-HTTP error instead of the generic connection failure. HTTP servers on `localhost`, `*.localhost`,
|
||||
`127.0.0.0/8`, or `::1` are treated as trustworthy loopback targets. Connection attempts still run, since
|
||||
browser local-network permissions can allow some HTTP LAN connections.
|
||||
QR scanning is enabled only in a browser-reported secure context with camera support and an available
|
||||
video input; insecure pages and unavailable cameras show an explanation beside the disabled action.
|
||||
|
||||
The workflow reuses the repository's `CLOUDFLARE_API_TOKEN` and web Sentry settings. The Cloudflare token
|
||||
must cover SST's R2 state storage, KV assets, Workers, and custom-domain management in the account that
|
||||
|
||||
@@ -0,0 +1,67 @@
|
||||
import { expect, story } from "../../storybook/playwright/story"
|
||||
|
||||
story("settings menu reconnect retains its prompt handler across server updates", async ({ mount, page }) => {
|
||||
const component = await mount("app-dialog-ssh--settings-reconnect")
|
||||
await component.getByRole("button", { name: "More options" }).click()
|
||||
await page.getByRole("menuitem", { name: "Connect", exact: true }).click()
|
||||
const dialog = page.getByRole("dialog")
|
||||
await expect(dialog.getByRole("textbox")).toBeVisible()
|
||||
await dialog.getByRole("textbox").fill("fixture-password")
|
||||
await dialog.getByRole("button", { name: "Continue" }).click()
|
||||
await expect(dialog.getByRole("textbox", { name: "Verification code:" })).toBeVisible()
|
||||
await dialog.getByRole("textbox").fill("123456")
|
||||
await dialog.getByRole("button", { name: "Continue" }).click()
|
||||
await expect(dialog).toHaveCount(0)
|
||||
await expect(component.getByRole("button", { name: "Authenticate", exact: true })).toHaveCount(0)
|
||||
})
|
||||
|
||||
story("cancelling a version mismatch permits reconnecting again", async ({ mount, page }) => {
|
||||
const component = await mount("app-dialog-ssh--incompatible-session")
|
||||
await component.getByRole("button", { name: "Reconnect", exact: true }).click()
|
||||
const dialog = page.getByRole("dialog")
|
||||
await expect(dialog.getByRole("alert")).toBeVisible()
|
||||
await dialog.getByRole("button", { name: "Cancel", exact: true }).click()
|
||||
await expect(dialog).toHaveCount(0)
|
||||
await component.getByRole("button", { name: "Reconnect", exact: true }).click()
|
||||
await expect(dialog.getByRole("alert")).toBeVisible()
|
||||
await dialog.getByRole("button", { name: "Cancel", exact: true }).click()
|
||||
await expect(dialog).toHaveCount(0)
|
||||
})
|
||||
|
||||
story("adding a server keeps all SSH challenges in the original connection dialog", async ({ mount, page }) => {
|
||||
await mount("app-dialog-ssh--host")
|
||||
const dialog = page.getByRole("dialog")
|
||||
await dialog.getByRole("textbox", { name: "Host or SSH command" }).fill("ssh devbox")
|
||||
await dialog.getByRole("button", { name: "Add server", exact: true }).click()
|
||||
await expect(dialog).toHaveCount(1)
|
||||
await expect(dialog.getByRole("button", { name: "Cancel", exact: true })).toBeFocused()
|
||||
await dialog.getByRole("button", { name: "Trust and connect" }).click()
|
||||
await dialog.getByRole("textbox").fill("fixture-password")
|
||||
await dialog.getByRole("button", { name: "Continue", exact: true }).click()
|
||||
await dialog.getByRole("textbox", { name: "Verification code:" }).fill("123456")
|
||||
await dialog.getByRole("button", { name: "Continue", exact: true }).click()
|
||||
await expect(dialog).toHaveCount(0)
|
||||
})
|
||||
|
||||
story("updating an incompatible connection continues authentication in the same dialog", async ({ mount, page }) => {
|
||||
const component = await mount("app-dialog-ssh--incompatible-session")
|
||||
await component.getByRole("button", { name: "Reconnect", exact: true }).click()
|
||||
const dialog = page.getByRole("dialog")
|
||||
await dialog.getByRole("button", { name: "Update and reconnect", exact: true }).click()
|
||||
await expect(dialog).toHaveCount(1)
|
||||
await dialog.getByRole("textbox").fill("fixture-password")
|
||||
await dialog.getByRole("button", { name: "Continue", exact: true }).click()
|
||||
await dialog.getByRole("textbox", { name: "Verification code:" }).fill("123456")
|
||||
await dialog.getByRole("button", { name: "Continue", exact: true }).click()
|
||||
await expect(dialog).toHaveCount(0)
|
||||
await expect(component.getByText("Session connected")).toBeVisible()
|
||||
})
|
||||
|
||||
story("key-based reconnect completes without opening an authentication dialog", async ({ mount, page }) => {
|
||||
const component = await mount("app-dialog-ssh--key-reconnect")
|
||||
await component.getByRole("button", { name: "Reconnect", exact: true }).click()
|
||||
await expect(component.getByRole("button", { name: "Connecting to SSH server" })).toBeDisabled()
|
||||
await expect(page.getByRole("dialog")).toHaveCount(0)
|
||||
await expect(component.getByText("Session connected")).toBeVisible()
|
||||
await expect(page.getByRole("dialog")).toHaveCount(0)
|
||||
})
|
||||
@@ -10,6 +10,7 @@
|
||||
"./i18n/desktop-native": "./src/runtime/i18n/desktop-native.ts",
|
||||
"./updater": "./src/shell/updates/types.ts",
|
||||
"./wsl/types": "./src/servers/wsl/types.ts",
|
||||
"./ssh": "./src/servers/ssh/types.ts",
|
||||
"./vite": "./vite.js",
|
||||
"./index.css": "./src/index.css"
|
||||
},
|
||||
@@ -87,6 +88,7 @@
|
||||
"fuzzysort": "catalog:",
|
||||
"ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
|
||||
"luxon": "catalog:",
|
||||
"qr-scanner": "1.4.2",
|
||||
"remeda": "catalog:",
|
||||
"solid-js": "catalog:",
|
||||
"solid-presence": "0.2.0",
|
||||
|
||||
@@ -17,6 +17,8 @@ import { ServerConnection, ServersProvider } from "@/runtime/server/registry"
|
||||
import { SettingsProvider } from "@/settings/model"
|
||||
import { TabsProvider } from "@/shell/tabs/tabs"
|
||||
import { WslServersProvider } from "@/servers/wsl/context"
|
||||
import { SshProvider } from "@/servers/ssh/context"
|
||||
import { SshRestore } from "@/servers/ssh/restore"
|
||||
import { ErrorPage } from "@/shell/errors/error"
|
||||
import { AppRoutes, File, preloadRoute } from "@/shell/routes/routes"
|
||||
|
||||
@@ -81,7 +83,9 @@ export function AppBaseProviders(
|
||||
<QueryProvider>
|
||||
<WslServersProvider>
|
||||
<DialogProvider>
|
||||
<FileComponentProvider component={File}>{props.children}</FileComponentProvider>
|
||||
<SshProvider>
|
||||
<FileComponentProvider component={File}>{props.children}</FileComponentProvider>
|
||||
</SshProvider>
|
||||
</DialogProvider>
|
||||
</WslServersProvider>
|
||||
</QueryProvider>
|
||||
@@ -95,7 +99,7 @@ export function AppBaseProviders(
|
||||
|
||||
export function AppInterface(props: {
|
||||
children?: JSX.Element
|
||||
defaultServer: ServerConnection.Key
|
||||
defaultServer?: ServerConnection.Key
|
||||
canonicalLocalServer?: ServerConnection.Key
|
||||
servers?: Array<ServerConnection.Any>
|
||||
router?: Component<BaseRouterProps>
|
||||
@@ -109,6 +113,7 @@ export function AppInterface(props: {
|
||||
<BodyTypography />
|
||||
<CommandProvider>
|
||||
<DesktopCommands />
|
||||
<SshRestore />
|
||||
<HighlightsProvider>
|
||||
{props.children}
|
||||
{rootProps.children}
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
import { onCleanup, onMount } from "solid-js"
|
||||
import { makeEventListener } from "@solid-primitives/event-listener"
|
||||
import { createBlobReference } from "@/runtime/persistence/drafts"
|
||||
import { uuid } from "@/runtime/persistence/uuid"
|
||||
import type { ComposerAttachment, ComposerPrompt } from "../types"
|
||||
|
||||
const accepted = [
|
||||
@@ -107,7 +109,7 @@ export function createComposerAttachments(
|
||||
if (toast) input.warn()
|
||||
return false
|
||||
}
|
||||
const blob = input.store ? await input.store(file) : await blobReference(file)
|
||||
const blob = input.store ? await input.store(file) : await createBlobReference(file)
|
||||
const sourcePath = input.getPathForFile?.(file) || undefined
|
||||
// Native clipboard images arrive with a fresh timestamped filename on every paste, so identical
|
||||
// clipboard content is matched on bytes alone.
|
||||
@@ -127,7 +129,7 @@ export function createComposerAttachments(
|
||||
}
|
||||
const attachment: ComposerAttachment = {
|
||||
type: "image",
|
||||
id: crypto.randomUUID(),
|
||||
id: uuid(),
|
||||
filename: file.name,
|
||||
sourcePath,
|
||||
mime,
|
||||
@@ -230,12 +232,6 @@ export function createComposerAttachments(
|
||||
|
||||
const imageMimes = new Set(["image/png", "image/jpeg", "image/gif", "image/webp"])
|
||||
|
||||
async function blobReference(file: File) {
|
||||
const id = Array.from(new Uint8Array(await crypto.subtle.digest("SHA-256", await file.arrayBuffer())))
|
||||
.map((byte) => byte.toString(16).padStart(2, "0"))
|
||||
.join("")
|
||||
return { id, url: URL.createObjectURL(file) }
|
||||
}
|
||||
const imageExtensions = new Map([
|
||||
["gif", "image/gif"],
|
||||
["jpeg", "image/jpeg"],
|
||||
|
||||
@@ -37,6 +37,7 @@ export type ComposerEditorView = {
|
||||
agent?: ComposerSelectControl
|
||||
variant?: ComposerSelectControl
|
||||
submit: {
|
||||
available?: Accessor<boolean>
|
||||
stopping: Accessor<boolean>
|
||||
working?: Accessor<boolean>
|
||||
queue?: ComposerQueue
|
||||
@@ -333,6 +334,7 @@ export function createComposerEditor(input: {
|
||||
draft.removeAttachment(id)
|
||||
},
|
||||
canSubmit() {
|
||||
if (input.view.submit.available?.() === false) return false
|
||||
if (input.view.draftOnly) return false
|
||||
const persisted = draft.state
|
||||
if (state.mode === "shell") {
|
||||
@@ -365,6 +367,7 @@ export function createComposerEditor(input: {
|
||||
dispatch({ type: "mode.shell" })
|
||||
},
|
||||
submit(options?: { alternate?: boolean }) {
|
||||
if (input.view.submit.available?.() === false) return
|
||||
if (input.view.draftOnly) return
|
||||
input.view.submit.onSubmit(options)
|
||||
dispatch({ type: "popover.close" })
|
||||
|
||||
@@ -11,7 +11,7 @@ import { useLanguage } from "@/runtime/i18n/language"
|
||||
import { useLayout } from "@/shell/state/layout"
|
||||
import { usePlatform } from "@/runtime/platform/platform"
|
||||
import { useWorkspaceLocation } from "@/workspaces/location"
|
||||
import { useData } from "@/runtime/server/current"
|
||||
import { useData, useServer } from "@/runtime/server/current"
|
||||
import { createSessionTabs } from "@/session/helpers"
|
||||
import { showToast } from "@/shell/notifications/toast"
|
||||
import { formatServerError } from "@/runtime/server/errors"
|
||||
@@ -30,6 +30,8 @@ export type ComposerModel = ComposerEditorModel & {
|
||||
export function createComposerModel(adapter: ComposerAdapter, options?: { queue?: ComposerQueue }): ComposerModel {
|
||||
const sdk = useWorkspaceLocation()
|
||||
const data = useData()
|
||||
const server = useServer()
|
||||
const available = () => server.conn.type !== "ssh" || server.ctx.sdk.connection.status() === "connected"
|
||||
const files = useFile()
|
||||
const layout = useLayout()
|
||||
const comments = useComments()
|
||||
@@ -394,10 +396,12 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
|
||||
keybind: () => command.keybindParts("model.variant.cycle"),
|
||||
},
|
||||
submit: {
|
||||
available,
|
||||
stopping,
|
||||
working: adapter.working,
|
||||
queue: options?.queue,
|
||||
onSubmit: (submitOptions) => {
|
||||
if (!available()) return
|
||||
const queue = options?.queue
|
||||
// Confirming an edit re-admits the queued prompt instead of sending
|
||||
// the composer value as a new prompt. Enter keeps it queued in
|
||||
|
||||
@@ -20,4 +20,5 @@ export { createDraftStore } from "./runtime/persistence/drafts"
|
||||
export { createNamespaceStorage, type NamespaceStorage } from "./runtime/persistence/namespace"
|
||||
export { flushPersisted } from "./runtime/persistence/persist"
|
||||
export { useWslServers } from "./servers/wsl/context"
|
||||
export { useSsh } from "./servers/ssh/context"
|
||||
export { type UpdaterPlatform, type UpdaterState } from "./shell/updates/types"
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user