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| 4abac2a431 |
@@ -10,6 +10,7 @@ kitlangton
|
||||
kommander
|
||||
ludvigrask
|
||||
MrMushrooooom
|
||||
neriousy
|
||||
nexxeln
|
||||
R44VC0RP
|
||||
rekram1-node
|
||||
|
||||
@@ -1,37 +0,0 @@
|
||||
name: beta
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: "0 * * * *"
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: blacksmith-4vcpu-ubuntu-2404
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Setup Bun
|
||||
uses: ./.github/actions/setup-bun
|
||||
|
||||
- name: Setup Git Committer
|
||||
id: setup-git-committer
|
||||
uses: ./.github/actions/setup-git-committer
|
||||
with:
|
||||
opencode-app-id: ${{ vars.OPENCODE_APP_ID }}
|
||||
opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}
|
||||
|
||||
- name: Install OpenCode
|
||||
run: bun i -g opencode-ai
|
||||
|
||||
- name: Sync beta branch
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.setup-git-committer.outputs.token }}
|
||||
OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
|
||||
run: bun script/beta.ts
|
||||
@@ -35,6 +35,7 @@ jobs:
|
||||
|
||||
- run: bun sst deploy --stage=${{ github.ref_name }}
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ github.token }}
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
PLANETSCALE_SERVICE_TOKEN_NAME: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_NAME }}
|
||||
PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
|
||||
|
||||
@@ -4,7 +4,7 @@ import { tool } from "@opencode-ai/plugin"
|
||||
const TEAM = {
|
||||
tui: ["kommander", "simonklee"],
|
||||
desktop_web: ["Hona", "Brendonovich"],
|
||||
core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton"],
|
||||
core: ["jlongster", "rekram1-node", "neriousy", "nexxeln", "kitlangton"],
|
||||
inference: ["fwang", "MrMushrooooom", "starptech"],
|
||||
windows: ["Hona"],
|
||||
} as const
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
},
|
||||
"packages/app": {
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@corvu/drawer": "catalog:",
|
||||
"@dnd-kit/abstract": "0.5.0",
|
||||
@@ -96,7 +96,7 @@
|
||||
},
|
||||
"packages/cli": {
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"bin": {
|
||||
"lildax": "./bin/lildax.cjs",
|
||||
},
|
||||
@@ -144,7 +144,7 @@
|
||||
},
|
||||
"packages/codemode": {
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"acorn": "8.15.0",
|
||||
"effect": "catalog:",
|
||||
@@ -158,7 +158,7 @@
|
||||
},
|
||||
"packages/console/app": {
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@ibm/plex": "6.4.1",
|
||||
@@ -194,7 +194,7 @@
|
||||
},
|
||||
"packages/console/core": {
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-sts": "3.782.0",
|
||||
"@jsx-email/render": "1.1.1",
|
||||
@@ -221,7 +221,7 @@
|
||||
},
|
||||
"packages/console/function": {
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "3.0.82",
|
||||
"@ai-sdk/openai": "3.0.48",
|
||||
@@ -243,7 +243,7 @@
|
||||
},
|
||||
"packages/console/mail": {
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
@@ -267,7 +267,7 @@
|
||||
},
|
||||
"packages/console/support": {
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@opencode-ai/console-core": "workspace:*",
|
||||
@@ -287,7 +287,7 @@
|
||||
},
|
||||
"packages/core": {
|
||||
"name": "@opencode-ai/core",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -332,7 +332,7 @@
|
||||
"@opentelemetry/sdk-trace-base": "2.6.1",
|
||||
"@parcel/watcher": "2.5.1",
|
||||
"@silvia-odwyer/photon-node": "0.3.4",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
@@ -381,7 +381,7 @@
|
||||
},
|
||||
"packages/desktop": {
|
||||
"name": "@opencode-ai/desktop",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"drizzle-orm": "catalog:",
|
||||
@@ -435,7 +435,7 @@
|
||||
},
|
||||
"packages/effect-drizzle-sqlite": {
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -449,7 +449,7 @@
|
||||
},
|
||||
"packages/effect-sqlite-node": {
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"effect": "catalog:",
|
||||
},
|
||||
@@ -461,7 +461,7 @@
|
||||
},
|
||||
"packages/enterprise": {
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@hono/standard-validator": "catalog:",
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
@@ -493,7 +493,7 @@
|
||||
},
|
||||
"packages/function": {
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@octokit/auth-app": "8.0.1",
|
||||
"@octokit/rest": "catalog:",
|
||||
@@ -509,7 +509,7 @@
|
||||
},
|
||||
"packages/http-recorder": {
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@effect/platform-node": "4.0.0-beta.83",
|
||||
"@effect/platform-node-shared": "4.0.0-beta.83",
|
||||
@@ -540,7 +540,7 @@
|
||||
},
|
||||
"packages/llm": {
|
||||
"name": "@opencode-ai/llm",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/schema": "workspace:*",
|
||||
"@smithy/eventstream-codec": "4.2.14",
|
||||
@@ -559,7 +559,7 @@
|
||||
},
|
||||
"packages/opencode": {
|
||||
"name": "opencode",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -623,7 +623,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
@@ -690,7 +690,7 @@
|
||||
},
|
||||
"packages/plugin": {
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
@@ -766,7 +766,7 @@
|
||||
},
|
||||
"packages/sdk/js": {
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"cross-spawn": "catalog:",
|
||||
},
|
||||
@@ -781,7 +781,7 @@
|
||||
},
|
||||
"packages/server": {
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/protocol": "workspace:*",
|
||||
@@ -796,7 +796,7 @@
|
||||
},
|
||||
"packages/session-ui": {
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13-v2.tgz",
|
||||
@@ -836,7 +836,7 @@
|
||||
},
|
||||
"packages/slack": {
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
"@slack/bolt": "^3.17.1",
|
||||
@@ -849,7 +849,7 @@
|
||||
},
|
||||
"packages/stats/app": {
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
@@ -883,7 +883,7 @@
|
||||
},
|
||||
"packages/stats/core": {
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-athena": "3.933.0",
|
||||
"@planetscale/database": "1.19.0",
|
||||
@@ -902,7 +902,7 @@
|
||||
},
|
||||
"packages/stats/server": {
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-firehose": "3.933.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -944,7 +944,7 @@
|
||||
},
|
||||
"packages/tui": {
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/plugin": "workspace:*",
|
||||
@@ -971,7 +971,7 @@
|
||||
},
|
||||
"packages/ui": {
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@pierre/diffs": "catalog:",
|
||||
@@ -1022,7 +1022,7 @@
|
||||
},
|
||||
"packages/web": {
|
||||
"name": "@opencode-ai/web",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@astrojs/cloudflare": "12.6.3",
|
||||
"@astrojs/markdown-remark": "6.3.1",
|
||||
@@ -1075,6 +1075,7 @@
|
||||
"@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
|
||||
"@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
|
||||
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
|
||||
"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch",
|
||||
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
|
||||
"pacote@21.5.0": "patches/pacote@21.5.0.patch",
|
||||
"@dnd-kit/dom@0.5.0": "patches/@dnd-kit%2Fdom@0.5.0.patch",
|
||||
@@ -1182,15 +1183,15 @@
|
||||
|
||||
"@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],
|
||||
|
||||
"@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-VscTV68g6sXRY4O1yl72/O8y6+tBDvSQax6bqX06hRKWBGxsJ8Jr3LZsNmZnK9Od5Icx565ijK0QgrlNaN4TdQ=="],
|
||||
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@@ -3062,7 +3063,7 @@
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@@ -5666,9 +5667,9 @@
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@@ -5676,15 +5677,15 @@
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@@ -6170,21 +6171,25 @@
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@@ -6594,14 +6599,20 @@
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@@ -6976,29 +6987,51 @@
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|
||||
"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
|
||||
|
||||
"ajv-keywords/ajv/json-schema-traverse": ["json-schema-traverse@0.4.1", "", {}, "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="],
|
||||
|
||||
@@ -7418,13 +7451,35 @@
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
"ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
"ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
|
||||
|
||||
"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
|
||||
|
||||
|
||||
+13
-1
@@ -181,6 +181,16 @@ const statsSyncConfig = new sst.Linkable("StatsSyncConfig", {
|
||||
},
|
||||
})
|
||||
|
||||
const r2SqlAuthToken = new sst.Secret("R2SqlAuthToken")
|
||||
const r2Sql = new sst.Linkable("R2Sql", {
|
||||
properties: {
|
||||
accountId: "15d29c8639fd3733b1b5486a2acfd968",
|
||||
bucket: `platform-${$app.stage}-lake`,
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
},
|
||||
})
|
||||
|
||||
export const statSync = new sst.aws.Service("StatsSyncService", {
|
||||
cluster: lakeCluster,
|
||||
architecture: "arm64",
|
||||
@@ -193,7 +203,9 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
|
||||
dockerfile: "packages/stats/server/Dockerfile",
|
||||
},
|
||||
command: ["bun", "src/stat-sync.ts"],
|
||||
link: [database, inferenceEvent, statsSyncConfig],
|
||||
// Keep the legacy Athena link and IAM permissions during the first R2-backed
|
||||
// release so reverting the application code remains a one-deploy rollback.
|
||||
link: [database, inferenceEvent, r2Sql, r2SqlAuthToken, statsSyncConfig],
|
||||
permissions: lakeQueryPermissions,
|
||||
scaling: {
|
||||
min: 1,
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-uduwrM143NDSc+tXsi4lVVfoMll2a3BDHRUjuO7GB68=",
|
||||
"aarch64-linux": "sha256-6DUda78XdXY6DP86lIUkweSjys3iG4Y4mo1PiaNuXbg=",
|
||||
"aarch64-darwin": "sha256-AkJwfLULLZVwwz+XU1QcFUZoIS7oVPCn+n/MXEaxrqE=",
|
||||
"x86_64-darwin": "sha256-hAxKGdiITTxQ2uujQt6prNjo3NxGAMMeo+9HlMWK6GU="
|
||||
"x86_64-linux": "sha256-kDCnJMnaK/Jq7ckcpPB7Vl9v98EMSdcehZAtf8jNjTs=",
|
||||
"aarch64-linux": "sha256-0aR+OJGXS5HMlXbe/BHybjIRvdNJJw6gjW+jr6Dk7Pk=",
|
||||
"aarch64-darwin": "sha256-loLrV6xiorhwS/N2hlpiKSKX172Qxy+auNiPzFBhQSc=",
|
||||
"x86_64-darwin": "sha256-PNEpQBLAz8M274bSyTpp0jofETn2L+D0uBiJHUV7nB0="
|
||||
}
|
||||
}
|
||||
|
||||
+2
-1
@@ -159,6 +159,7 @@
|
||||
"@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
|
||||
"effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
|
||||
"@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch",
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch"
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch",
|
||||
"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"description": "",
|
||||
"type": "module",
|
||||
"exports": {
|
||||
|
||||
@@ -583,7 +583,7 @@ export const dict = {
|
||||
"dialog.usageExceeded.dontShowAgain": "不再显示",
|
||||
|
||||
"context.breakdown.title": "上下文细分",
|
||||
"context.breakdown.note": "输入词元的大致细分。“其他”包含工具定义和开销。",
|
||||
"context.breakdown.note": "输入 token 的大致细分。“其他”包含工具定义和开销。",
|
||||
"context.breakdown.system": "系统",
|
||||
"context.breakdown.user": "用户",
|
||||
"context.breakdown.assistant": "助手",
|
||||
@@ -598,18 +598,18 @@ export const dict = {
|
||||
"context.stats.provider": "提供商",
|
||||
"context.stats.model": "模型",
|
||||
"context.stats.limit": "上下文限制",
|
||||
"context.stats.totalTokens": "词元总数",
|
||||
"context.stats.totalTokens": "总 token",
|
||||
"context.stats.usage": "使用率",
|
||||
"context.stats.inputTokens": "输入词元",
|
||||
"context.stats.outputTokens": "输出词元",
|
||||
"context.stats.reasoningTokens": "推理词元",
|
||||
"context.stats.cacheTokens": "缓存词元(读/写)",
|
||||
"context.stats.inputTokens": "输入 token",
|
||||
"context.stats.outputTokens": "输出 token",
|
||||
"context.stats.reasoningTokens": "推理 token",
|
||||
"context.stats.cacheTokens": "缓存 token(读/写)",
|
||||
"context.stats.userMessages": "用户消息",
|
||||
"context.stats.assistantMessages": "助手消息",
|
||||
"context.stats.totalCost": "总成本",
|
||||
"context.stats.sessionCreated": "创建时间",
|
||||
"context.stats.lastActivity": "最后活动",
|
||||
"context.usage.tokens": "词元数",
|
||||
"context.usage.tokens": "Token",
|
||||
"context.usage.usage": "使用率",
|
||||
"context.usage.cost": "成本",
|
||||
"context.usage.clickToView": "点击查看上下文",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"bin": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"description": "Effect-native confined code execution over schema-described tools",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -252,7 +252,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "الاستثناءات التالية",
|
||||
|
||||
"go.title": "OpenCode Go | نماذج برمجة منخفضة التكلفة للجميع",
|
||||
"go.banner.text": "يحصل DeepSeek V4 Flash على حدود استخدام مضاعفة لفترة محدودة",
|
||||
"go.meta.description":
|
||||
"يبدأ Go بسعر $5 للشهر الأول، ثم $10/شهر، مع حدود استخدام سخية ووصول موثوق إلى نماذج البرمجة الرائدة.",
|
||||
"go.hero.title": "نماذج برمجة منخفضة التكلفة للجميع",
|
||||
|
||||
@@ -256,7 +256,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "seguintes exceções",
|
||||
|
||||
"go.title": "OpenCode Go | Modelos de codificação de baixo custo para todos",
|
||||
"go.banner.text": "DeepSeek V4 Flash tem limites de uso 2x maiores por tempo limitado",
|
||||
"go.meta.description":
|
||||
"O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de uso e acesso confiável aos principais modelos de codificação.",
|
||||
"go.hero.title": "Modelos de codificação de baixo custo para todos",
|
||||
|
||||
@@ -254,7 +254,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende undtagelser",
|
||||
|
||||
"go.title": "OpenCode Go | Kodningsmodeller til lav pris for alle",
|
||||
"go.banner.text": "DeepSeek V4 Flash får fordoblet brugsgrænse i en begrænset periode",
|
||||
"go.meta.description":
|
||||
"Go starter ved $5 for den første måned, derefter $10/måned, med generøse brugsgrænser og pålidelig adgang til førende kodningsmodeller.",
|
||||
"go.hero.title": "Kodningsmodeller til lav pris for alle",
|
||||
|
||||
@@ -256,7 +256,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "folgenden Ausnahmen",
|
||||
|
||||
"go.title": "OpenCode Go | Kostengünstige Coding-Modelle für alle",
|
||||
"go.banner.text": "DeepSeek V4 Flash erhält für begrenzte Zeit 2x Nutzungslimits",
|
||||
"go.meta.description":
|
||||
"Go beginnt bei $5 für deinen ersten Monat, danach $10/Monat, mit großzügigen Nutzungslimits und zuverlässigem Zugang zu führenden Coding-Modellen.",
|
||||
"go.hero.title": "Kostengünstige Coding-Modelle für alle",
|
||||
|
||||
@@ -253,7 +253,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "following exceptions",
|
||||
|
||||
"go.title": "OpenCode Go | Low cost coding models for everyone",
|
||||
"go.banner.text": "DeepSeek V4 Flash gets 2× usage limits for a limited time",
|
||||
"go.meta.description":
|
||||
"Go starts at $5 for your first month, then $10/month, with generous usage limits and reliable access to leading coding models.",
|
||||
"go.hero.title": "Low cost coding models for everyone",
|
||||
@@ -373,7 +372,8 @@ export const dict = {
|
||||
"zen.api.error.providerNotSupported": "Provider {{provider}} not supported",
|
||||
"zen.api.error.missingApiKey": "Missing API key.",
|
||||
"zen.api.error.invalidApiKey": "Invalid API key.",
|
||||
"zen.api.error.requestBlockedByUpstreamProvider": "Request blocked by upstream provider.",
|
||||
"zen.api.error.requestBlockedByUpstreamProvider":
|
||||
"This account has found to be committing fraud or is in breach of terms of services and has been blocked. If you believe this is a mistake please send an email to help@anoma.ly.",
|
||||
"zen.api.error.subscriptionQuotaExceeded": "Subscription quota exceeded. Retry in {{retryIn}}.",
|
||||
"zen.api.error.goSubscriptionRollingLimitExceeded":
|
||||
"5-hour usage limit reached. Resets in {{retryIn}}. To continue using this model now, enable usage from your available balance: {{consoleGoUrl}}",
|
||||
|
||||
@@ -257,7 +257,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "siguientes excepciones",
|
||||
|
||||
"go.title": "OpenCode Go | Modelos de programación de bajo coste para todos",
|
||||
"go.banner.text": "DeepSeek V4 Flash tiene límites de uso 2x mayores por tiempo limitado",
|
||||
"go.meta.description":
|
||||
"Go comienza en $5 el primer mes, luego 10 $/mes, con límites de uso generosos y acceso fiable a modelos de programación líderes.",
|
||||
"go.hero.title": "Modelos de programación de bajo coste para todos",
|
||||
|
||||
@@ -258,7 +258,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "exceptions suivantes",
|
||||
|
||||
"go.title": "OpenCode Go | Modèles de code à faible coût pour tous",
|
||||
"go.banner.text": "DeepSeek V4 Flash bénéficie de limites d’utilisation 2x supérieures pour une durée limitée",
|
||||
"go.meta.description":
|
||||
"Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites d'utilisation généreuses et un accès fiable aux principaux modèles de codage.",
|
||||
"go.hero.title": "Modèles de code à faible coût pour tous",
|
||||
|
||||
@@ -254,7 +254,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "seguenti eccezioni",
|
||||
|
||||
"go.title": "OpenCode Go | Modelli di coding a basso costo per tutti",
|
||||
"go.banner.text": "DeepSeek V4 Flash offre limiti di utilizzo 2x superiori per un periodo limitato",
|
||||
"go.meta.description":
|
||||
"Go inizia a $5 per il primo mese, poi $10/mese, con limiti di utilizzo generosi e un accesso affidabile ai principali modelli di coding.",
|
||||
"go.hero.title": "Modelli di coding a basso costo per tutti",
|
||||
|
||||
@@ -253,7 +253,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下の例外",
|
||||
|
||||
"go.title": "OpenCode Go | すべての人のための低価格なコーディングモデル",
|
||||
"go.banner.text": "DeepSeek V4 Flashの利用上限が期間限定で2倍に",
|
||||
"go.meta.description":
|
||||
"Goは最初の月$5、その後$10/月で、主要なコーディングモデルへのゆとりある利用上限と安定したアクセスを提供します。",
|
||||
"go.hero.title": "すべての人のための低価格なコーディングモデル",
|
||||
|
||||
@@ -250,7 +250,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "다음 예외",
|
||||
|
||||
"go.title": "OpenCode Go | 모두를 위한 저비용 코딩 모델",
|
||||
"go.banner.text": "DeepSeek V4 Flash 사용 한도가 한시적으로 2배 확대됩니다",
|
||||
"go.meta.description":
|
||||
"Go는 첫 달 $5, 이후 $10/월로 시작하며, 넉넉한 사용 한도와 주요 코딩 모델에 대한 안정적인 액세스를 제공합니다.",
|
||||
"go.hero.title": "모두를 위한 저비용 코딩 모델",
|
||||
|
||||
@@ -254,7 +254,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende unntak",
|
||||
|
||||
"go.title": "OpenCode Go | Rimelige kodemodeller for alle",
|
||||
"go.banner.text": "DeepSeek V4 Flash får 2x bruksgrense i en begrenset periode",
|
||||
"go.meta.description":
|
||||
"Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse bruksgrenser og pålitelig tilgang til ledende kodemodeller.",
|
||||
"go.hero.title": "Rimelige kodemodeller for alle",
|
||||
|
||||
@@ -255,7 +255,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "następującymi wyjątkami",
|
||||
|
||||
"go.title": "OpenCode Go | Niskokosztowe modele do kodowania dla każdego",
|
||||
"go.banner.text": "DeepSeek V4 Flash oferuje 2x wyższe limity użycia przez ograniczony czas",
|
||||
"go.meta.description":
|
||||
"Go kosztuje $5 za pierwszy miesiąc, a następnie $10/miesiąc, oferując hojne limity użycia i niezawodny dostęp do wiodących modeli do kodowania.",
|
||||
"go.hero.title": "Niskokosztowe modele do kodowania dla każdego",
|
||||
|
||||
@@ -258,7 +258,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "следующими исключениями",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогие модели для кодинга для всех",
|
||||
"go.banner.text": "DeepSeek V4 Flash получает 2x лимиты использования на ограниченное время",
|
||||
"go.meta.description":
|
||||
"Go стоит $5 за первый месяц, затем $10/месяц и предлагает щедрые лимиты использования и надежный доступ к ведущим моделям для кодинга.",
|
||||
"go.hero.title": "Недорогие модели для кодинга для всех",
|
||||
|
||||
@@ -253,7 +253,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "ข้อยกเว้นดังนี้",
|
||||
|
||||
"go.title": "OpenCode Go | โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
"go.banner.text": "DeepSeek V4 Flash เพิ่มโควตาการใช้งานเป็น 2 เท่าในช่วงเวลาจำกัด",
|
||||
"go.meta.description":
|
||||
"Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดการใช้งานที่เอื้อเฟื้อและการเข้าถึงโมเดลเขียนโค้ดชั้นนำอย่างเชื่อถือได้",
|
||||
"go.hero.title": "โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
|
||||
@@ -256,7 +256,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "aşağıdaki istisnalar",
|
||||
|
||||
"go.title": "OpenCode Go | Herkes için düşük maliyetli kodlama modelleri",
|
||||
"go.banner.text": "DeepSeek V4 Flash sınırlı bir süre için 2x kullanım limiti sunuyor",
|
||||
"go.meta.description":
|
||||
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; cömert kullanım limitleri ve önde gelen kodlama modellerine güvenilir erişim sunar.",
|
||||
"go.hero.title": "Herkes için düşük maliyetli kodlama modelleri",
|
||||
|
||||
@@ -255,7 +255,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "такими винятками",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогі моделі кодування для всіх",
|
||||
"go.banner.text": "DeepSeek V4 Flash отримує 2x ліміти використання протягом обмеженого часу",
|
||||
"go.meta.description":
|
||||
"Go починається від $5 за перший місяць, потім $10/місяць, зі щедрими лімітами використання та надійним доступом до провідних моделей для кодування.",
|
||||
"go.hero.title": "Недорогі моделі кодування для всіх",
|
||||
|
||||
@@ -244,7 +244,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下例外情况除外",
|
||||
|
||||
"go.title": "OpenCode Go | 人人可用的低成本编程模型",
|
||||
"go.banner.text": "DeepSeek V4 Flash 限时享受 2 倍使用额度",
|
||||
"go.meta.description": "Go 首月 $5,之后 $10/月,提供充裕的使用限额,并可可靠访问领先的编程模型。",
|
||||
"go.hero.title": "人人可用的低成本编程模型",
|
||||
"go.hero.body":
|
||||
|
||||
@@ -244,7 +244,6 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下例外情況",
|
||||
|
||||
"go.title": "OpenCode Go | 低成本全民編碼模型",
|
||||
"go.banner.text": "DeepSeek V4 Flash 限時享有 2 倍使用額度",
|
||||
"go.meta.description": "Go 首月 $5,之後 $10/月,提供充裕的使用限額,並可穩定存取領先的編碼模型。",
|
||||
"go.hero.title": "低成本全民編碼模型",
|
||||
"go.hero.body":
|
||||
|
||||
@@ -25,6 +25,7 @@ const checkLoggedIn = query(async () => {
|
||||
const models = [
|
||||
{ name: "Grok 4.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
|
||||
{ name: "GPT 5.6 Luna", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
|
||||
{ name: "GLM-5.3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "GLM-5.2", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "GLM-5.1", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Kimi K3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
@@ -66,24 +67,17 @@ function LimitsGraph(props: { href: string }) {
|
||||
|
||||
const baseline = 100
|
||||
const graph = [
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "75ms" },
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "50ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "75ms" },
|
||||
{ id: "qwen3.8-max", name: "Qwen3.8 Max", req: 160, d: "90ms" },
|
||||
{ id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 1050, d: "150ms" },
|
||||
{ id: "minimax-m3", name: "MiniMax M3", req: 3200, d: "210ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },
|
||||
{ id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 3800, d: "270ms" },
|
||||
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 4100, baseReq: 2050, d: "290ms" },
|
||||
{ id: "qwen3.7-plus", name: "Qwen3.7 Plus", req: 4300, d: "300ms" },
|
||||
{ id: "hy3", name: "Hy3", req: 4300, d: "320ms" },
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
|
||||
{
|
||||
id: "deepseek-v4-flash",
|
||||
name: "DeepSeek V4 Flash",
|
||||
req: 63300,
|
||||
baseReq: 31650,
|
||||
edge: true,
|
||||
d: "340ms",
|
||||
},
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, edge: true, d: "340ms" },
|
||||
]
|
||||
|
||||
const w = 1040
|
||||
@@ -258,12 +252,6 @@ export default function Home() {
|
||||
|
||||
<div data-component="content">
|
||||
<section data-component="hero">
|
||||
<div data-component="desktop-app-banner">
|
||||
<span data-slot="badge">{i18n.t("home.banner.badge")}</span>
|
||||
<div data-slot="content">
|
||||
<span data-slot="text">{i18n.t("go.banner.text")}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div data-slot="hero-copy">
|
||||
<img data-slot="zen logo light" src={goLogoLight} alt="" />
|
||||
<img data-slot="zen logo dark" src={goLogoDark} alt="" />
|
||||
|
||||
@@ -306,6 +306,7 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<ul data-slot="promo-models">
|
||||
<li>Grok 4.5</li>
|
||||
<li>GPT 5.6 Luna</li>
|
||||
<li>GLM-5.3</li>
|
||||
<li>GLM-5.2</li>
|
||||
<li>GLM-5.1</li>
|
||||
<li>Kimi K3</li>
|
||||
|
||||
@@ -0,0 +1,158 @@
|
||||
import type { APIEvent } from "@solidjs/start/server"
|
||||
import { and, Database, eq, isNull } from "@opencode-ai/console-core/drizzle/index.js"
|
||||
import { BillingTable, LiteTable } from "@opencode-ai/console-core/schema/billing.sql.js"
|
||||
import { KeyTable } from "@opencode-ai/console-core/schema/key.sql.js"
|
||||
import { UserTable } from "@opencode-ai/console-core/schema/user.sql.js"
|
||||
import { WorkspaceTable } from "@opencode-ai/console-core/schema/workspace.sql.js"
|
||||
import { LiteData } from "@opencode-ai/console-core/lite.js"
|
||||
import { Subscription } from "@opencode-ai/console-core/subscription.js"
|
||||
|
||||
export async function GET(input: APIEvent) {
|
||||
const apiKey = input.request.headers.get("authorization")?.match(/^Bearer (\S+)$/)?.[1]
|
||||
|
||||
if (!apiKey) {
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
error: {
|
||||
type: "AuthError",
|
||||
message: "Missing API key.",
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 401,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
const auth = await Database.use((tx) =>
|
||||
tx
|
||||
.select({
|
||||
userID: KeyTable.userID,
|
||||
workspaceID: KeyTable.workspaceID,
|
||||
})
|
||||
.from(KeyTable)
|
||||
.innerJoin(
|
||||
UserTable,
|
||||
and(
|
||||
eq(UserTable.workspaceID, KeyTable.workspaceID),
|
||||
eq(UserTable.id, KeyTable.userID),
|
||||
isNull(UserTable.timeDeleted),
|
||||
),
|
||||
)
|
||||
.innerJoin(WorkspaceTable, and(eq(WorkspaceTable.id, KeyTable.workspaceID), isNull(WorkspaceTable.timeDeleted)))
|
||||
.innerJoin(
|
||||
BillingTable,
|
||||
and(eq(BillingTable.workspaceID, KeyTable.workspaceID), isNull(BillingTable.timeDeleted)),
|
||||
)
|
||||
.where(and(eq(KeyTable.key, apiKey), isNull(KeyTable.timeDeleted)))
|
||||
.then((rows) => rows[0]),
|
||||
)
|
||||
|
||||
if (!auth) {
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
error: {
|
||||
type: "AuthError",
|
||||
message: "Unauthorized",
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 401,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
const row = await Database.use((tx) =>
|
||||
tx
|
||||
.select({
|
||||
timeCreated: LiteTable.timeCreated,
|
||||
rollingUsage: LiteTable.rollingUsage,
|
||||
weeklyUsage: LiteTable.weeklyUsage,
|
||||
monthlyUsage: LiteTable.monthlyUsage,
|
||||
timeRollingUpdated: LiteTable.timeRollingUpdated,
|
||||
timeWeeklyUpdated: LiteTable.timeWeeklyUpdated,
|
||||
timeMonthlyUpdated: LiteTable.timeMonthlyUpdated,
|
||||
})
|
||||
.from(LiteTable)
|
||||
.where(
|
||||
and(
|
||||
eq(LiteTable.workspaceID, auth.workspaceID),
|
||||
eq(LiteTable.userID, auth.userID),
|
||||
isNull(LiteTable.timeDeleted),
|
||||
),
|
||||
)
|
||||
.then((rows) => rows[0]),
|
||||
)
|
||||
|
||||
if (!row) {
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
error: {
|
||||
type: "EntitlementError",
|
||||
message: "OpenCode Go subscription required.",
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 403,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
const limits = LiteData.getLimits()
|
||||
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
usage: {
|
||||
rolling: formatUsage(
|
||||
Subscription.analyzeRollingUsage({
|
||||
limit: limits.rollingLimit,
|
||||
window: limits.rollingWindow,
|
||||
usage: row.rollingUsage ?? 0,
|
||||
timeUpdated: row.timeRollingUpdated ?? new Date(),
|
||||
}),
|
||||
),
|
||||
weekly: formatUsage(
|
||||
Subscription.analyzeWeeklyUsage({
|
||||
limit: limits.weeklyLimit,
|
||||
usage: row.weeklyUsage ?? 0,
|
||||
timeUpdated: row.timeWeeklyUpdated ?? new Date(),
|
||||
}),
|
||||
),
|
||||
monthly: formatUsage(
|
||||
Subscription.analyzeMonthlyUsage({
|
||||
limit: limits.monthlyLimit,
|
||||
usage: row.monthlyUsage ?? 0,
|
||||
timeUpdated: row.timeMonthlyUpdated ?? new Date(),
|
||||
timeSubscribed: row.timeCreated,
|
||||
}),
|
||||
),
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 200,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
function formatUsage(usage: { status: "ok" | "rate-limited"; resetInSec: number; usagePercent: number }) {
|
||||
return {
|
||||
status: usage.status,
|
||||
percent: usage.usagePercent,
|
||||
resetsAt: new Date(Date.now() + usage.resetInSec * 1000).toISOString(),
|
||||
}
|
||||
}
|
||||
@@ -139,7 +139,7 @@ export async function handler(
|
||||
if (
|
||||
authInfo &&
|
||||
opts.modelList === "lite" &&
|
||||
modelInfo.id === "deepseek-v4-flash" &&
|
||||
["deepseek-v4-flash", "deepseek-v4-pro"].includes(modelInfo.id) &&
|
||||
!allowedRegions?.includes("cn")
|
||||
)
|
||||
throw new RegionError(
|
||||
@@ -1032,11 +1032,14 @@ export async function handler(
|
||||
const { inputTokens, outputTokens, reasoningTokens, cacheReadTokens, cacheWrite5mTokens, cacheWrite1hTokens } =
|
||||
usageInfo
|
||||
|
||||
const hour = new Date().getUTCHours()
|
||||
const modelCost =
|
||||
modelInfo.cost200K &&
|
||||
inputTokens + (cacheReadTokens ?? 0) + (cacheWrite5mTokens ?? 0) + (cacheWrite1hTokens ?? 0) > 200_000
|
||||
? modelInfo.cost200K
|
||||
: modelInfo.cost
|
||||
modelInfo.costPeak && ((hour >= 1 && hour < 4) || (hour >= 6 && hour < 10))
|
||||
? modelInfo.costPeak
|
||||
: modelInfo.cost200K &&
|
||||
inputTokens + (cacheReadTokens ?? 0) + (cacheWrite5mTokens ?? 0) + (cacheWrite1hTokens ?? 0) > 200_000
|
||||
? modelInfo.cost200K
|
||||
: modelInfo.cost
|
||||
|
||||
const inputCost = modelCost.input * inputTokens * 100
|
||||
const outputCost = modelCost.output * outputTokens * 100
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -24,6 +24,7 @@ export namespace ZenData {
|
||||
cost: ModelCostSchema,
|
||||
costMultiplier: z.number().default(1),
|
||||
cost200K: ModelCostSchema.optional(),
|
||||
costPeak: ModelCostSchema.optional(),
|
||||
allowAnonymous: z.boolean().optional(),
|
||||
byokProvider: z.enum(["openai", "anthropic", "google"]).optional(),
|
||||
stickyProvider: z.enum(["strict", "prefer"]).optional(),
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/core",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -101,7 +101,7 @@
|
||||
"@parcel/watcher": "2.5.1",
|
||||
"@silvia-odwyer/photon-node": "0.3.4",
|
||||
"@openrouter/ai-sdk-provider": "2.9.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
|
||||
@@ -30,15 +30,11 @@ Guidelines:
|
||||
|
||||
Complete the user's search request efficiently and report your findings clearly.`
|
||||
|
||||
const PROMPT_COMPACTION = `You are an anchored context summarization assistant for coding sessions.
|
||||
|
||||
Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
|
||||
|
||||
If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
|
||||
const PROMPT_COMPACTION = `You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
|
||||
|
||||
Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
|
||||
|
||||
Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.`
|
||||
Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.`
|
||||
|
||||
const PROMPT_TITLE = `You are a title generator. You output ONLY a thread title. Nothing else.
|
||||
|
||||
|
||||
@@ -24,9 +24,15 @@ export const CloudflareAIGatewayPlugin = define({
|
||||
apiKey: config.apiKey,
|
||||
options: gatewayOptions(evt.options, metadata),
|
||||
} as any)
|
||||
const unified = createUnified({ apiKey: config.apiKey })
|
||||
evt.sdk = {
|
||||
languageModel(modelID: string) {
|
||||
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
|
||||
// the only one that should receive the Cloudflare token as its upstream Authorization header.
|
||||
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
|
||||
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
|
||||
// gateway's stored/BYOK keys instead.
|
||||
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: config.apiKey } : {})
|
||||
return gateway(unified(modelID))
|
||||
},
|
||||
}
|
||||
|
||||
@@ -13,7 +13,7 @@ import { ConfigProviderV1 } from "../../v1/config/provider"
|
||||
import { ConfigProviderOptionsV1 } from "../../v1/config/provider-options"
|
||||
import { ConfigV1 } from "../../v1/config/config"
|
||||
|
||||
const defaultServer = "https://console.opencode.ai"
|
||||
const defaultServer = "https://opencode.ai/console"
|
||||
const clientID = "opencode-cli"
|
||||
const methodID = Integration.MethodID.make("device")
|
||||
const RemoteResponse = Schema.Struct({ config: ConfigV1.Info })
|
||||
|
||||
@@ -40,7 +40,7 @@ already-loaded config until then.
|
||||
| Scope | Path |
|
||||
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Project config | `./opencode.json`, `./opencode.jsonc`, or `.opencode/opencode.json` (opencode walks up from the cwd to the worktree root) |
|
||||
| Global config | `~/.config/opencode/opencode.json` (NOT `~/.opencode/`) |
|
||||
| Global config | `~/.config/opencode/opencode.json` or `~/.config/opencode/opencode.jsonc` (NOT `~/.opencode/`) |
|
||||
| Project agents | `.opencode/agent/<name>.md` or `.opencode/agents/<name>.md` |
|
||||
| Global agents | `~/.config/opencode/agent(s)/<name>.md` |
|
||||
| Project commands | `.opencode/command/<name>.md` or `.opencode/commands/<name>.md` |
|
||||
|
||||
@@ -264,7 +264,10 @@ const layer = Layer.effect(
|
||||
}),
|
||||
line: match.line_number,
|
||||
offset: match.absolute_offset,
|
||||
text: match.lines.text.length > 2_000 ? match.lines.text.slice(0, 2_000) + "..." : match.lines.text,
|
||||
text:
|
||||
match.lines.text.length > 2_000
|
||||
? match.lines.text.slice(0, 2_000).replace(/[\uD800-\uDBFF]$/, "") + "..."
|
||||
: match.lines.text,
|
||||
submatches: match.submatches.map((submatch) => ({
|
||||
text: submatch.match.text,
|
||||
start: submatch.start,
|
||||
|
||||
@@ -44,6 +44,15 @@ Rules:
|
||||
- Use terse bullets, not prose paragraphs.
|
||||
- Preserve exact file paths, symbols, commands, error strings, URLs, and identifiers when known.
|
||||
- Do not mention the summary process or that context was compacted.`
|
||||
const SUMMARY_UPDATE_INSTRUCTIONS = `The <prior-summary> summarizes everything that happened before the <conversation>. Construct a new summary that combines both. The <prior-summary> is discarded after this: anything you do not carry into the new summary is lost.
|
||||
|
||||
When combining:
|
||||
- Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary> even when the <conversation> does not mention them. Drop only what is finished and no longer needed.
|
||||
- The <conversation> is more recent than the <prior-summary>. Where they conflict, the conversation wins: state the corrected fact and drop the old claim.
|
||||
- Add new progress, decisions, constraints, and context from the conversation.
|
||||
- Move completed work from "Active" to "Completed".
|
||||
- If a blocker has been resolved, update the summary to reflect that while keeping any details still needed to continue the work.
|
||||
- Update "Objective" and "Next Move" to reflect the current work state.`
|
||||
|
||||
type Entry = {
|
||||
readonly seq: number
|
||||
@@ -136,36 +145,33 @@ const select = (
|
||||
if (conversation.length === 0) return
|
||||
let total = 0
|
||||
let split = conversation.length
|
||||
let splitPrefix = ""
|
||||
let splitSuffix = ""
|
||||
for (let index = conversation.length - 1; index >= 0; index--) {
|
||||
const next = total + Token.estimate(conversation[index])
|
||||
if (next > tokens) {
|
||||
const remaining = Math.max(0, tokens - total) * 4
|
||||
if (remaining > 0) {
|
||||
splitPrefix = conversation[index].slice(0, -remaining)
|
||||
splitSuffix = conversation[index].slice(-remaining)
|
||||
split = index + 1
|
||||
}
|
||||
break
|
||||
}
|
||||
if (next > tokens) break
|
||||
total = next
|
||||
split = index
|
||||
}
|
||||
return {
|
||||
head: [...conversation.slice(0, split), splitPrefix].filter(Boolean).join("\n\n"),
|
||||
recent: [splitSuffix, ...conversation.slice(split)].filter(Boolean).join("\n\n"),
|
||||
head: conversation.slice(0, split).join("\n\n"),
|
||||
recent: conversation.slice(split).join("\n\n"),
|
||||
}
|
||||
}
|
||||
|
||||
export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) =>
|
||||
[
|
||||
input.previousSummary
|
||||
? `Update the anchored summary below using the conversation history above.\nPreserve still-true details, remove stale details, and merge in the new facts.\n<previous-summary>\n${input.previousSummary}\n</previous-summary>`
|
||||
: "Create a new anchored summary from the conversation history.",
|
||||
export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) => {
|
||||
const conversation = `Here is the conversation so far:\n\n<conversation>\n${input.context.join("\n\n")}\n</conversation>`
|
||||
if (!input.previousSummary)
|
||||
return [
|
||||
conversation,
|
||||
"Create a new anchored summary from the conversation history in the <conversation> tags above so another coding agent can continue the work.",
|
||||
SUMMARY_TEMPLATE,
|
||||
].join("\n\n")
|
||||
return [
|
||||
conversation,
|
||||
`Here is the summary of the conversation before the <conversation> above:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`,
|
||||
SUMMARY_UPDATE_INSTRUCTIONS,
|
||||
SUMMARY_TEMPLATE,
|
||||
...input.context,
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const make = (dependencies: Dependencies) => {
|
||||
const config = settings(dependencies.config)
|
||||
|
||||
@@ -12,7 +12,6 @@ import { SessionMessage } from "./message"
|
||||
import { SessionMessageUpdater } from "./message-updater"
|
||||
import { SessionInput } from "./input"
|
||||
import { WorkspaceV2 } from "../workspace"
|
||||
import { SessionContextEpoch } from "./context-epoch"
|
||||
import { MessageTable, PartTable, SessionInputTable, SessionMessageTable, SessionTable } from "./sql"
|
||||
import type { DeepMutable } from "../schema"
|
||||
|
||||
@@ -253,7 +252,6 @@ const layer = Layer.effectDiscard(
|
||||
.where(eq(SessionTable.id, event.data.sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* SessionContextEpoch.reset(db, event.data.sessionID)
|
||||
}),
|
||||
)
|
||||
yield* events.project(SessionV1.Event.Deleted, (event) =>
|
||||
@@ -449,7 +447,6 @@ const layer = Layer.effectDiscard(
|
||||
.where(eq(SessionTable.id, event.data.sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* SessionContextEpoch.reset(db, event.data.sessionID)
|
||||
}),
|
||||
)
|
||||
}),
|
||||
|
||||
@@ -156,7 +156,7 @@ export const Info = Schema.Struct({
|
||||
}),
|
||||
tail_turns: Schema.optional(NonNegativeInt).annotate({
|
||||
description:
|
||||
"Number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction (default: 2)",
|
||||
"Maximum number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction. By default retention is limited only by the preserved token budget.",
|
||||
}),
|
||||
preserve_recent_tokens: Schema.optional(NonNegativeInt).annotate({
|
||||
description: "Maximum number of tokens from recent turns to preserve verbatim after compaction",
|
||||
|
||||
@@ -0,0 +1,28 @@
|
||||
import { createGroq } from "@ai-sdk/groq"
|
||||
import { expect, test } from "bun:test"
|
||||
|
||||
test("Groq passes through unknown reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created: 0,
|
||||
model: "openai/gpt-oss-120b",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createGroq({ apiKey: "test", fetch: mockFetch })("openai/gpt-oss-120b")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { groq: { reasoningEffort: "custom" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("custom")
|
||||
})
|
||||
@@ -27,6 +27,32 @@ test("Mistral sends promptCacheKey as prompt_cache_key", async () => {
|
||||
expect(body?.prompt_cache_key).toBe("session-123")
|
||||
})
|
||||
|
||||
test("Mistral passes through unknown reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created: 0,
|
||||
model: "mistral-large-latest",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createMistral({ apiKey: "test", fetch: mockFetch })("mistral-large-latest")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { mistral: { reasoningEffort: "custom" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("custom")
|
||||
})
|
||||
|
||||
test("Mistral round-trips native reasoning in assistant history", async () => {
|
||||
let body: { messages?: unknown[] } | undefined
|
||||
const mockFetch = Object.assign(
|
||||
|
||||
@@ -30,3 +30,56 @@ test("xAI Responses sends promptCacheKey as prompt_cache_key", async () => {
|
||||
|
||||
expect(body?.prompt_cache_key).toBe("session-123")
|
||||
})
|
||||
|
||||
test("xAI Responses passes through xhigh reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created_at: 0,
|
||||
model: "grok-4",
|
||||
object: "response",
|
||||
output: [],
|
||||
usage: { input_tokens: 1, output_tokens: 0 },
|
||||
status: "completed",
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createXai({ apiKey: "test", fetch: mockFetch }).responses("grok-4")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { xai: { reasoningEffort: "xhigh" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning).toEqual({ effort: "xhigh" })
|
||||
})
|
||||
|
||||
test("xAI Chat passes through xhigh reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "chat-1",
|
||||
created: 0,
|
||||
model: "grok-4",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createXai({ apiKey: "test", fetch: mockFetch }).chat("grok-4")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { xai: { reasoningEffort: "xhigh" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
@@ -62,4 +62,24 @@ describe("Ripgrep", () => {
|
||||
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
|
||||
),
|
||||
)
|
||||
it.live("does not split surrogate pairs in oversized line previews", () =>
|
||||
Effect.acquireUseRelease(
|
||||
Effect.promise(() => tmpdir()),
|
||||
(tmp) =>
|
||||
Effect.gen(function* () {
|
||||
yield* Effect.promise(() =>
|
||||
fs.writeFile(path.join(tmp.path, "unicode.txt"), `needle${"x".repeat(1_993)}😀\n`),
|
||||
)
|
||||
|
||||
const matches = yield* (yield* Ripgrep.Service).grep({
|
||||
cwd: tmp.path,
|
||||
pattern: "needle",
|
||||
limit: 10,
|
||||
})
|
||||
|
||||
expect(matches[0]?.text).toBe(`needle${"x".repeat(1_993)}...`)
|
||||
}),
|
||||
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
|
||||
),
|
||||
)
|
||||
})
|
||||
|
||||
@@ -4,12 +4,32 @@ import { SessionCompaction } from "@opencode-ai/core/session/compaction"
|
||||
test("compaction prompt preserves detailed work state and relevant files", () => {
|
||||
const prompt = SessionCompaction.buildPrompt({ context: ["conversation history"] })
|
||||
|
||||
expect(prompt).toStartWith(
|
||||
"Here is the conversation so far:\n\n<conversation>\nconversation history\n</conversation>",
|
||||
)
|
||||
expect(prompt.indexOf("</conversation>")).toBeLessThan(prompt.indexOf("Create a new anchored summary"))
|
||||
expect(prompt).toContain("conversation history in the <conversation> tags above")
|
||||
expect(prompt).toContain("## Work State\n### Completed")
|
||||
expect(prompt).toContain("### Active")
|
||||
expect(prompt).toContain("### Blocked")
|
||||
expect(prompt).toContain("## Relevant Files")
|
||||
})
|
||||
|
||||
test("compaction prompt gives update instructions for a prior summary", () => {
|
||||
const prompt = SessionCompaction.buildPrompt({
|
||||
context: ["new conversation"],
|
||||
previousSummary: "existing summary",
|
||||
})
|
||||
|
||||
expect(prompt.indexOf("<conversation>")).toBeLessThan(prompt.indexOf("<prior-summary>"))
|
||||
expect(prompt.indexOf("</prior-summary>")).toBeLessThan(prompt.indexOf("The <prior-summary> summarizes"))
|
||||
expect(prompt).toContain(
|
||||
"Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary>",
|
||||
)
|
||||
expect(prompt).toContain('Move completed work from "Active" to "Completed".')
|
||||
expect(prompt).toContain('Update "Objective" and "Next Move" to reflect the current work state.')
|
||||
})
|
||||
|
||||
test("compaction describes tool media without embedding base64", () => {
|
||||
const base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAAB"
|
||||
const serialized = SessionCompaction.serializeToolContent([
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { describe, expect } from "bun:test"
|
||||
import { DateTime, Effect, Schema } from "effect"
|
||||
import { asc, eq } from "drizzle-orm"
|
||||
import { asc, eq, sql } from "drizzle-orm"
|
||||
import { Database } from "@opencode-ai/core/database/database"
|
||||
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
|
||||
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
|
||||
@@ -22,6 +22,7 @@ import { SessionInput } from "@opencode-ai/core/session/input"
|
||||
import { SessionInputTable, SessionMessageTable, SessionTable } from "@opencode-ai/core/session/sql"
|
||||
import { testEffect } from "./lib/effect"
|
||||
import { Snapshot } from "@opencode-ai/core/snapshot"
|
||||
import { Location } from "@opencode-ai/core/location"
|
||||
|
||||
const it = testEffect(AppNodeBuilder.build(LayerNode.group([Database.node, EventV2.node, SessionProjector.node])))
|
||||
const sessionsLayer = AppNodeBuilder.build(SessionV2.node, [[SessionExecution.node, SessionExecution.noopLayer]])
|
||||
@@ -44,6 +45,39 @@ const assistantRow = (
|
||||
}
|
||||
|
||||
describe("SessionProjector", () => {
|
||||
it.effect("projects moved sessions without the transitional context epoch table", () =>
|
||||
Effect.gen(function* () {
|
||||
const { db } = yield* Database.Service
|
||||
const events = yield* EventV2.Service
|
||||
yield* db
|
||||
.insert(ProjectTable)
|
||||
.values({ id: Project.ID.global, worktree: AbsolutePath.make("/project"), sandboxes: [] })
|
||||
.run()
|
||||
yield* db
|
||||
.insert(SessionTable)
|
||||
.values({
|
||||
id: sessionID,
|
||||
project_id: Project.ID.global,
|
||||
slug: "test",
|
||||
directory: "/project",
|
||||
title: "test",
|
||||
version: "test",
|
||||
})
|
||||
.run()
|
||||
yield* db.run(sql`DROP TABLE session_context_epoch`)
|
||||
|
||||
yield* events.publish(SessionEvent.Moved, {
|
||||
sessionID,
|
||||
timestamp: DateTime.makeUnsafe(1),
|
||||
location: Location.Ref.make({ directory: AbsolutePath.make("/project/subdir") }),
|
||||
})
|
||||
|
||||
expect(yield* db.select({ directory: SessionTable.directory }).from(SessionTable).get()).toEqual({
|
||||
directory: "/project/subdir",
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("projects staged, cleared, and committed reverts", () =>
|
||||
Effect.gen(function* () {
|
||||
const db = (yield* Database.Service).db
|
||||
|
||||
@@ -703,13 +703,6 @@ describe("SessionRunnerLLM", () => {
|
||||
timestamp: DateTime.makeUnsafe(1),
|
||||
location: Location.Ref.make({ directory: AbsolutePath.make("/moved") }),
|
||||
})
|
||||
expect(
|
||||
yield* db
|
||||
.select()
|
||||
.from(SessionContextEpochTable)
|
||||
.where(eq(SessionContextEpochTable.session_id, sessionID))
|
||||
.get(),
|
||||
).toBeUndefined()
|
||||
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Second" }), resume: false })
|
||||
const exit = yield* session.resume(sessionID).pipe(Effect.exit)
|
||||
@@ -1135,7 +1128,7 @@ describe("SessionRunnerLLM", () => {
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
expect(userTexts(requests[0])[0]).toContain(
|
||||
"<previous-summary>\n## Objective\n- Preserve the task\n</previous-summary>",
|
||||
"<prior-summary>\n## Objective\n- Preserve the task\n</prior-summary>",
|
||||
)
|
||||
expect(userTexts(requests[0])[0]).toContain("Recent exact request")
|
||||
expect((yield* (yield* SessionStore.Service).context(sessionID))[0]).toMatchObject({
|
||||
@@ -1145,6 +1138,67 @@ describe("SessionRunnerLLM", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("retains only complete serialized messages during compaction", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
const earlier = `EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`
|
||||
const recent = `RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`
|
||||
response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: earlier }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
currentModel = compactModel
|
||||
requests.length = 0
|
||||
responses = [
|
||||
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
|
||||
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
|
||||
]
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: recent }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
const summary = userTexts(requests[0])[0]
|
||||
const continuation = userTexts(requests[1])[0]
|
||||
expect(summary.match(/EARLIER_BOUNDARY/g)).toHaveLength(1)
|
||||
expect(summary).toContain(`EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`)
|
||||
expect(summary).not.toContain("RECENT_BOUNDARY")
|
||||
expect(continuation).not.toContain("EARLIER_BOUNDARY")
|
||||
expect(continuation).not.toContain("EARLIER_END")
|
||||
expect(continuation).toContain("<recent-context>\n[Assistant]: Earlier answer")
|
||||
expect(continuation).toContain(`RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("summarizes an oversized newest message without retaining a fragment", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Earlier question" }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
const oversized = `OVERSIZED_BOUNDARY ${"x".repeat(4_500)} OVERSIZED_END`
|
||||
currentModel = compactModel
|
||||
requests.length = 0
|
||||
responses = [
|
||||
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
|
||||
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
|
||||
]
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: oversized }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
const summary = userTexts(requests[0])[0]
|
||||
const continuation = userTexts(requests[1])[0]
|
||||
expect(summary.match(/OVERSIZED_BOUNDARY/g)).toHaveLength(1)
|
||||
expect(summary).toContain(oversized)
|
||||
expect(continuation).not.toContain("OVERSIZED_BOUNDARY")
|
||||
expect(continuation).not.toContain("OVERSIZED_END")
|
||||
expect(continuation).toContain("<recent-context>\n\n</recent-context>")
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("forces one compaction and retries after provider context overflow", () =>
|
||||
Effect.gen(function* () {
|
||||
const session = yield* setupOverflowRecovery
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@opencode-ai/desktop",
|
||||
"private": true,
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"homepage": "https://opencode.ai",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/llm",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"name": "opencode",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -111,7 +111,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
|
||||
@@ -1,9 +1,5 @@
|
||||
You are an anchored context summarization assistant for coding sessions.
|
||||
|
||||
Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
|
||||
|
||||
If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
|
||||
You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
|
||||
|
||||
Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
|
||||
|
||||
Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.
|
||||
Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.
|
||||
|
||||
@@ -15,7 +15,7 @@ const dim = (value: string) => UI.Style.TEXT_DIM + value + UI.Style.TEXT_NORMAL
|
||||
|
||||
const activeSuffix = (isActive: boolean) => (isActive ? dim(" (active)") : "")
|
||||
|
||||
export const defaultConsoleUrl = "https://console.opencode.ai"
|
||||
export const defaultConsoleUrl = "https://opencode.ai/console"
|
||||
|
||||
export const formatAccountLabel = (account: { email: string; url: string }, isActive: boolean) =>
|
||||
`${account.email} ${dim(account.url)}${activeSuffix(isActive)}`
|
||||
|
||||
@@ -714,6 +714,7 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
|
||||
if (!flags.experimentalWorkspaces) return []
|
||||
return (yield* db
|
||||
.select()
|
||||
.from(WorkspaceTable)
|
||||
@@ -851,6 +852,7 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const startWorkspaceSyncing = Effect.fn("Workspace.startWorkspaceSyncing")(function* (projectID: ProjectV2.ID) {
|
||||
if (!flags.experimentalWorkspaces) return
|
||||
const rows = yield* db
|
||||
.selectDistinct({ workspace: WorkspaceTable })
|
||||
.from(WorkspaceTable)
|
||||
|
||||
@@ -1,6 +1,70 @@
|
||||
import { InstallationVersion } from "@opencode-ai/core/installation/version"
|
||||
import type { Hooks, PluginInput } from "@opencode-ai/plugin"
|
||||
import type { Provider } from "@opencode-ai/sdk/v2"
|
||||
import { Schema } from "effect"
|
||||
import { OAUTH_DUMMY_KEY } from "../auth"
|
||||
|
||||
const AZURE_COGNITIVE_SERVICES_SCOPE = "https://cognitiveservices.azure.com/.default"
|
||||
const AZURE_FOUNDRY_SCOPE = "https://ai.azure.com/.default"
|
||||
const AZURE_TOKEN_REFRESH_BUFFER = 60_000
|
||||
|
||||
const AzureCliToken = Schema.Struct({
|
||||
accessToken: Schema.NonEmptyString,
|
||||
expires_on: Schema.Number,
|
||||
})
|
||||
const decodeAzureCliToken = Schema.decodeUnknownPromise(AzureCliToken)
|
||||
|
||||
const decodeAzureAccounts = Schema.decodeUnknownPromise(
|
||||
Schema.Array(
|
||||
Schema.Struct({
|
||||
name: Schema.NonEmptyString,
|
||||
resourceGroup: Schema.NonEmptyString,
|
||||
}),
|
||||
),
|
||||
)
|
||||
|
||||
const decodeAzureDeployments = Schema.decodeUnknownPromise(
|
||||
Schema.Array(
|
||||
Schema.Struct({
|
||||
name: Schema.NonEmptyString,
|
||||
properties: Schema.Struct({
|
||||
model: Schema.Struct({
|
||||
name: Schema.NonEmptyString,
|
||||
}),
|
||||
provisioningState: Schema.NonEmptyString,
|
||||
}),
|
||||
}),
|
||||
),
|
||||
)
|
||||
|
||||
type AzureCommand = {
|
||||
quiet(): AzureCommand
|
||||
json(): Promise<unknown>
|
||||
}
|
||||
|
||||
type AzureShell = (strings: TemplateStringsArray, ...values: string[]) => AzureCommand
|
||||
|
||||
export async function AzureAuthPlugin(input: PluginInput): Promise<Hooks> {
|
||||
return createAzureAuthHooks(input.$)
|
||||
}
|
||||
|
||||
export function createAzureAuthHooks(
|
||||
shell: AzureShell,
|
||||
request: (input: RequestInfo | URL, init?: RequestInit) => Promise<Response> = fetch,
|
||||
): Hooks {
|
||||
const tokens = new Map<string, { token: string; expires: number }>()
|
||||
async function token(scope: string) {
|
||||
const cached = tokens.get(scope)
|
||||
if (cached && cached.expires - Date.now() > AZURE_TOKEN_REFRESH_BUFFER) return cached.token
|
||||
|
||||
const result = await decodeAzureCliToken(
|
||||
await shell`az account get-access-token --scope ${scope} --output json`.quiet().json(),
|
||||
)
|
||||
const token = { token: result.accessToken, expires: result.expires_on * 1000 }
|
||||
tokens.set(scope, token)
|
||||
return token.token
|
||||
}
|
||||
|
||||
export async function AzureAuthPlugin(_input: PluginInput): Promise<Hooks> {
|
||||
const prompts = []
|
||||
if (!process.env.AZURE_RESOURCE_NAME) {
|
||||
prompts.push({
|
||||
@@ -12,15 +76,102 @@ export async function AzureAuthPlugin(_input: PluginInput): Promise<Hooks> {
|
||||
}
|
||||
|
||||
return {
|
||||
provider: {
|
||||
id: "azure",
|
||||
async models(provider, context) {
|
||||
if (context.auth?.type !== "oauth") return provider.models
|
||||
if (!context.auth.accountId) return {}
|
||||
return discoverAzureModels(provider.models, context.auth.accountId, shell).catch(() => ({}))
|
||||
},
|
||||
},
|
||||
auth: {
|
||||
provider: "azure",
|
||||
async loader(getAuth) {
|
||||
if ((await getAuth()).type !== "oauth") return {}
|
||||
|
||||
return {
|
||||
apiKey: OAUTH_DUMMY_KEY,
|
||||
async fetch(input: RequestInfo | URL, init?: RequestInit) {
|
||||
const headers = new Headers(input instanceof Request ? input.headers : undefined)
|
||||
new Headers(init?.headers).forEach((value, key) => headers.set(key, value))
|
||||
headers.delete("api-key")
|
||||
headers.delete("x-api-key")
|
||||
headers.set("authorization", `Bearer ${await token(scopeForRequest(input))}`)
|
||||
headers.set("User-Agent", `opencode/${InstallationVersion}`)
|
||||
return request(input, { ...init, headers })
|
||||
},
|
||||
}
|
||||
},
|
||||
methods: [
|
||||
{
|
||||
type: "api",
|
||||
label: "API key",
|
||||
prompts,
|
||||
},
|
||||
{
|
||||
type: "oauth",
|
||||
label: "Microsoft Entra ID (Azure CLI)",
|
||||
prompts,
|
||||
async authorize(inputs) {
|
||||
return {
|
||||
url: "",
|
||||
instructions: "Sign in with `az login` before continuing.",
|
||||
method: "auto",
|
||||
callback: async () => {
|
||||
const resourceName = inputs?.resourceName ?? process.env.AZURE_RESOURCE_NAME
|
||||
if (!resourceName) throw new Error("Azure Resource Name is required")
|
||||
|
||||
await token(AZURE_COGNITIVE_SERVICES_SCOPE)
|
||||
return {
|
||||
type: "success",
|
||||
access: OAUTH_DUMMY_KEY,
|
||||
refresh: OAUTH_DUMMY_KEY,
|
||||
expires: Date.now() + 365 * 24 * 60 * 60 * 1000,
|
||||
accountId: resourceName,
|
||||
}
|
||||
},
|
||||
}
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
async function discoverAzureModels(models: Provider["models"], resourceName: string, shell: AzureShell) {
|
||||
const accounts = await decodeAzureAccounts(
|
||||
await shell`az cognitiveservices account list --output json --only-show-errors`.quiet().json(),
|
||||
)
|
||||
const account = accounts.find((account) => account.name.toLowerCase() === resourceName.toLowerCase())
|
||||
if (!account) return {}
|
||||
|
||||
const deployments = await decodeAzureDeployments(
|
||||
await shell`az cognitiveservices account deployment list --name ${account.name} --resource-group ${account.resourceGroup} --output json --only-show-errors`
|
||||
.quiet()
|
||||
.json(),
|
||||
)
|
||||
const found = new Map<string, Provider["models"][string]>()
|
||||
deployments.forEach((deployment) => {
|
||||
if (deployment.properties.provisioningState !== "Succeeded") return
|
||||
const modelID = Object.keys(models).find(
|
||||
(modelID) => modelID.toLowerCase() === deployment.properties.model.name.toLowerCase(),
|
||||
)
|
||||
if (!modelID) return
|
||||
found.set(modelID, {
|
||||
...models[modelID],
|
||||
api: {
|
||||
...models[modelID].api,
|
||||
id: deployment.name,
|
||||
},
|
||||
})
|
||||
})
|
||||
return Object.fromEntries(found)
|
||||
}
|
||||
|
||||
function scopeForRequest(input: RequestInfo | URL) {
|
||||
const url = new URL(input instanceof Request ? input.url : input)
|
||||
if (url.hostname.endsWith(".services.ai.azure.com") && !url.pathname.startsWith("/models")) {
|
||||
return AZURE_FOUNDRY_SCOPE
|
||||
}
|
||||
return AZURE_COGNITIVE_SERVICES_SCOPE
|
||||
}
|
||||
|
||||
@@ -61,16 +61,5 @@ export async function CloudflareAIGatewayAuthPlugin(_input: PluginInput): Promis
|
||||
},
|
||||
],
|
||||
},
|
||||
"chat.params": async (input, output) => {
|
||||
if (input.model.providerID !== "cloudflare-ai-gateway") return
|
||||
// The unified gateway routes through @ai-sdk/openai-compatible, which
|
||||
// always emits max_tokens. OpenAI reasoning models (gpt-5.x, o-series)
|
||||
// reject that field and require max_completion_tokens instead, and the
|
||||
// compatible SDK has no way to rename it. Drop the cap so OpenAI falls
|
||||
// back to the model's default output budget.
|
||||
if (!input.model.api.id.toLowerCase().startsWith("openai/")) return
|
||||
if (!input.model.capabilities.reasoning) return
|
||||
output.maxOutputTokens = undefined
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -88,6 +88,9 @@ function build(key: string, remote: SelectableItem, url: string, prev?: Model):
|
||||
const image =
|
||||
(remote.capabilities.supports.vision ?? false) ||
|
||||
(remote.capabilities.limits.vision?.supported_media_types ?? []).some((item) => item.startsWith("image/"))
|
||||
const pdf =
|
||||
(remote.capabilities.supports.vision ?? false) &&
|
||||
(remote.capabilities.limits.vision?.supported_media_types?.includes("application/pdf") ?? false)
|
||||
|
||||
const isMsgApi = remote.supported_endpoints?.includes("/v1/messages")
|
||||
const endpoint: CopilotEndpoint | undefined = isMsgApi
|
||||
@@ -127,7 +130,7 @@ function build(key: string, remote: SelectableItem, url: string, prev?: Model):
|
||||
audio: false,
|
||||
image,
|
||||
video: false,
|
||||
pdf: false,
|
||||
pdf,
|
||||
},
|
||||
output: {
|
||||
text: true,
|
||||
|
||||
@@ -299,16 +299,11 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
|
||||
output: 0,
|
||||
cache: { read: 0, write: 0 },
|
||||
},
|
||||
limit: model.id.includes("gpt-5.5")
|
||||
? {
|
||||
context: 400_000,
|
||||
input: 272_000,
|
||||
output: 128_000,
|
||||
}
|
||||
: model.id.includes("gpt-5.6")
|
||||
limit:
|
||||
model.id.includes("gpt-5.5") || model.id.includes("gpt-5.6")
|
||||
? {
|
||||
context: 500_000,
|
||||
input: 372_000,
|
||||
context: 400_000,
|
||||
input: 272_000,
|
||||
output: 128_000,
|
||||
}
|
||||
: model.limit,
|
||||
|
||||
@@ -244,6 +244,7 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
return [
|
||||
provider.options?.resourceName,
|
||||
auth?.type === "api" ? auth.metadata?.resourceName : undefined,
|
||||
auth?.type === "oauth" ? auth.accountId : undefined,
|
||||
env["AZURE_RESOURCE_NAME"],
|
||||
].find((name) => typeof name === "string" && name.trim() !== "")
|
||||
})
|
||||
@@ -800,9 +801,10 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
)
|
||||
}
|
||||
|
||||
// Use official ai-gateway-provider package (v2.x for AI SDK v5 compatibility)
|
||||
const { createAiGateway } = yield* Effect.promise(() => import("ai-gateway-provider"))
|
||||
const { createUnified } = yield* Effect.promise(() => import("ai-gateway-provider/providers/unified"))
|
||||
const { createOpenAI } = yield* Effect.promise(() => import("ai-gateway-provider/providers/openai"))
|
||||
const { createAnthropic } = yield* Effect.promise(() => import("ai-gateway-provider/providers/anthropic"))
|
||||
|
||||
const metadata = iife(() => {
|
||||
if (input.options?.metadata) return input.options.metadata
|
||||
@@ -829,12 +831,23 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
apiKey: apiToken,
|
||||
...(Object.values(opts).some((v) => v !== undefined) ? { options: opts } : {}),
|
||||
})
|
||||
const unified = createUnified({ apiKey: apiToken })
|
||||
|
||||
return {
|
||||
autoload: true,
|
||||
async getModel(_sdk: any, modelID: string, _options?: Record<string, any>) {
|
||||
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5")
|
||||
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5").
|
||||
// OpenAI and Anthropic ride their native passthrough routes so agents get the Responses
|
||||
// and Messages APIs; new OpenAI models reject tools+reasoning_effort on chat completions.
|
||||
// The passthrough wrappers inject a CF_TEMP_TOKEN sentinel that the gateway strips before
|
||||
// dispatch, so upstream billing stays on the gateway (Unified Billing / stored BYOK).
|
||||
if (modelID.startsWith("openai/")) return aigateway(createOpenAI()(modelID.slice("openai/".length)))
|
||||
if (modelID.startsWith("anthropic/")) return aigateway(createAnthropic()(modelID.slice("anthropic/".length)))
|
||||
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
|
||||
// the only one that should receive the Cloudflare token as its upstream Authorization header.
|
||||
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
|
||||
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
|
||||
// gateway's stored/BYOK keys instead.
|
||||
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: apiToken } : {})
|
||||
return aigateway(unified(modelID))
|
||||
},
|
||||
options: {},
|
||||
@@ -1209,6 +1222,17 @@ function cost(c: ModelsDev.Model["cost"]): Model["cost"] {
|
||||
return result
|
||||
}
|
||||
|
||||
// Cloudflare AI Gateway routes OpenAI and Anthropic models through their native
|
||||
// passthrough SDKs (Responses / Messages APIs). Resolving the native npm before
|
||||
// variants are computed makes reasoning variants produce payloads the native
|
||||
// SDKs understand (e.g. anthropic `effort` instead of compat `reasoningEffort`).
|
||||
function cloudflareGatewayNpm(providerID: string, modelID: string) {
|
||||
if (providerID !== "cloudflare-ai-gateway") return undefined
|
||||
if (modelID.startsWith("openai/")) return "@ai-sdk/openai"
|
||||
if (modelID.startsWith("anthropic/")) return "@ai-sdk/anthropic"
|
||||
return undefined
|
||||
}
|
||||
|
||||
function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model): Model {
|
||||
const base: Model = {
|
||||
id: ModelV2.ID.make(model.id),
|
||||
@@ -1218,7 +1242,11 @@ function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model
|
||||
api: {
|
||||
id: model.id,
|
||||
url: model.provider?.api ?? provider.api ?? "",
|
||||
npm: model.provider?.npm ?? provider.npm ?? "@ai-sdk/openai-compatible",
|
||||
npm:
|
||||
cloudflareGatewayNpm(provider.id, model.id) ??
|
||||
model.provider?.npm ??
|
||||
provider.npm ??
|
||||
"@ai-sdk/openai-compatible",
|
||||
},
|
||||
status: model.status ?? "active",
|
||||
headers: {},
|
||||
@@ -1440,6 +1468,9 @@ const layer = Layer.effect(
|
||||
model.provider?.npm ??
|
||||
provider.npm ??
|
||||
existingModel?.api.npm ??
|
||||
// Config-defined gateway models bypass fromModelsDevModel, so resolve the
|
||||
// native passthrough npm here before falling back to the catalog default.
|
||||
cloudflareGatewayNpm(providerID, apiID) ??
|
||||
modelsDev[providerID]?.npm ??
|
||||
"@ai-sdk/openai-compatible"
|
||||
const name = iife(() => {
|
||||
@@ -1619,6 +1650,7 @@ const layer = Layer.effect(
|
||||
|
||||
for (const [modelID, model] of Object.entries(provider.models)) {
|
||||
model.api.id = model.api.id ?? model.id ?? modelID
|
||||
|
||||
if (
|
||||
// These chat aliases are invalid for the special handling in the
|
||||
// built-in providers below, but custom providers may support them.
|
||||
|
||||
@@ -84,6 +84,8 @@ function sdkKey(npm: string): string | undefined {
|
||||
return "gateway"
|
||||
case "@openrouter/ai-sdk-provider":
|
||||
return "openrouter"
|
||||
case "merge-gateway-ai-sdk-provider":
|
||||
return "mergeGateway"
|
||||
case "ai-gateway-provider":
|
||||
// ai-gateway-provider/unified wraps createOpenAICompatible({ name: "Unified" }),
|
||||
// and @ai-sdk/openai-compatible parses compatibleOptions from one of
|
||||
@@ -551,6 +553,12 @@ export function topP(model: Provider.Model) {
|
||||
if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
|
||||
return 0.95
|
||||
}
|
||||
if (
|
||||
["deepseek-v4-flash-0731", "deepseek-v4-flash:0731"].some((name) => id.includes(name)) ||
|
||||
(id.includes("deepseek-v4-flash") && (model.providerID === "deepseek" || model.providerID.startsWith("opencode")))
|
||||
) {
|
||||
return 0.95
|
||||
}
|
||||
return undefined
|
||||
}
|
||||
|
||||
@@ -1766,6 +1774,7 @@ function reasoningEffort(model: Provider.Model, effort: string) {
|
||||
case "@ai-sdk/togetherai":
|
||||
case "venice-ai-sdk-provider":
|
||||
case "ai-gateway-provider":
|
||||
case "merge-gateway-ai-sdk-provider":
|
||||
return { reasoningEffort: effort }
|
||||
case "@ai-sdk/cohere":
|
||||
case "@ai-sdk/perplexity":
|
||||
|
||||
@@ -29,9 +29,8 @@ export const PRUNE_MINIMUM = 20_000
|
||||
export const PRUNE_PROTECT = 40_000
|
||||
const TOOL_OUTPUT_MAX_CHARS = 2_000
|
||||
const PRUNE_PROTECTED_TOOLS = ["skill"]
|
||||
const DEFAULT_TAIL_TURNS = 2
|
||||
const MIN_PRESERVE_RECENT_TOKENS = 2_000
|
||||
const MAX_PRESERVE_RECENT_TOKENS = 8_000
|
||||
const MAX_PRESERVE_RECENT_TOKENS = 15_000
|
||||
type Turn = {
|
||||
start: number
|
||||
end: number
|
||||
@@ -226,27 +225,22 @@ const layer = Layer.effect(
|
||||
cfg: ConfigV1.Info
|
||||
model: Provider.Model
|
||||
}) {
|
||||
const limit = input.cfg.compaction?.tail_turns ?? DEFAULT_TAIL_TURNS
|
||||
if (limit <= 0) return { head: input.messages, tail_start_id: undefined }
|
||||
const limit = input.cfg.compaction?.tail_turns
|
||||
if (limit !== undefined && limit <= 0) return { head: input.messages, tail_start_id: undefined }
|
||||
const budget = preserveRecentBudget({ cfg: input.cfg, model: input.model })
|
||||
const all = turns(input.messages)
|
||||
if (!all.length) return { head: input.messages, tail_start_id: undefined }
|
||||
const recent = all.slice(-limit)
|
||||
const sizes = yield* Effect.forEach(
|
||||
recent,
|
||||
(turn) =>
|
||||
estimate({
|
||||
messages: input.messages.slice(turn.start, turn.end),
|
||||
model: input.model,
|
||||
}),
|
||||
{ concurrency: 1 },
|
||||
)
|
||||
const recent = limit === undefined ? all : all.slice(-limit)
|
||||
|
||||
let total = 0
|
||||
let keep: Tail | undefined
|
||||
for (let i = recent.length - 1; i >= 0; i--) {
|
||||
const turn = recent[i]!
|
||||
const size = sizes[i]
|
||||
// estimate lazily so cost stays proportional to the retained tail, not the whole session
|
||||
const size = yield* estimate({
|
||||
messages: input.messages.slice(turn.start, turn.end),
|
||||
model: input.model,
|
||||
})
|
||||
if (total + size <= budget) {
|
||||
total += size
|
||||
keep = { start: turn.start, id: turn.id }
|
||||
@@ -381,10 +375,20 @@ const layer = Layer.effect(
|
||||
{ sessionID: input.sessionID },
|
||||
{ context: [], prompt: undefined },
|
||||
)
|
||||
const nextPrompt = compacting.prompt ?? buildPrompt({ previousSummary, context: compacting.context })
|
||||
const msgs = structuredClone(selected.head)
|
||||
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
|
||||
const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
|
||||
const nextPrompt =
|
||||
compacting.prompt ??
|
||||
[
|
||||
buildPrompt({
|
||||
previousSummary,
|
||||
context: [conversation],
|
||||
}),
|
||||
...compacting.context,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n")
|
||||
const ctx = yield* InstanceState.context
|
||||
const msg: SessionV1.Assistant = {
|
||||
id: MessageID.ascending(),
|
||||
@@ -430,7 +434,10 @@ const layer = Layer.effect(
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: [nextPrompt, "The following is the conversation history:", conversation]
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
},
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by Muse Spark, a large language model trained by Meta MSL.
|
||||
You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by {{MODEL_NAME}}, a large language model trained by Meta MSL.
|
||||
|
||||
Use the instructions below and the tools available to assist the user.
|
||||
|
||||
@@ -61,5 +61,5 @@ Use the instructions below and the tools available to assist the user.
|
||||
- NEVER use comments as a place for long-winded chain-of-thought. Long thinking texts must be generated as private reasoning. Comments in code must be appropriately concise.
|
||||
|
||||
# User Help & Feedback
|
||||
- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta Muse Spark.
|
||||
- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta {{MODEL_NAME}}.
|
||||
- When users ask directly about OpenCode (eg. "can OpenCode do...", "are you able to do...") or its features (eg. implement a hook, write a slash command, or install an MCP server), use the WebFetch tool to gather information to answer the question from the OpenCode docs at https://opencode.ai/docs.
|
||||
|
||||
@@ -25,8 +25,10 @@ export type Retryable = {
|
||||
|
||||
export const RETRY_INITIAL_DELAY = 2000
|
||||
export const RETRY_BACKOFF_FACTOR = 2
|
||||
export const RETRY_JITTER_FACTOR = 0.25
|
||||
export const RETRY_MAX_DELAY_NO_HEADERS = 30_000 // 30 seconds
|
||||
export const RETRY_MAX_DELAY = 2_147_483_647 // max 32-bit signed integer for setTimeout
|
||||
export const RETRY_MAX_RETRIES = 5
|
||||
|
||||
const RETRYABLE_MESSAGE_PATTERNS = [
|
||||
/429|500|502|503|504|524/i,
|
||||
@@ -41,7 +43,7 @@ function cap(ms: number) {
|
||||
return Math.min(ms, RETRY_MAX_DELAY)
|
||||
}
|
||||
|
||||
export function delay(attempt: number, error?: SessionV1.APIError) {
|
||||
export function delay(attempt: number, error?: SessionV1.APIError, random = Math.random()) {
|
||||
if (error) {
|
||||
const headers = error.data.responseHeaders
|
||||
if (headers) {
|
||||
@@ -67,11 +69,16 @@ export function delay(attempt: number, error?: SessionV1.APIError) {
|
||||
}
|
||||
}
|
||||
|
||||
return cap(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1))
|
||||
return cap(exponential(attempt, random))
|
||||
}
|
||||
}
|
||||
|
||||
return cap(Math.min(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1), RETRY_MAX_DELAY_NO_HEADERS))
|
||||
return cap(Math.min(exponential(attempt, random), RETRY_MAX_DELAY_NO_HEADERS))
|
||||
}
|
||||
|
||||
function exponential(attempt: number, random: number) {
|
||||
const base = RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1)
|
||||
return Math.ceil(base + base * RETRY_JITTER_FACTOR * random)
|
||||
}
|
||||
|
||||
export function retryable(error: Err, provider: string) {
|
||||
@@ -182,6 +189,7 @@ export function policy(opts: {
|
||||
const error = opts.parse(meta.input)
|
||||
const retry = retryable(error, opts.provider)
|
||||
if (!retry) return Cause.done(meta.attempt)
|
||||
if (meta.attempt > RETRY_MAX_RETRIES) return Cause.done(meta.attempt)
|
||||
return Effect.gen(function* () {
|
||||
const wait = delay(meta.attempt, SessionV1.APIError.isInstance(error) ? error : undefined)
|
||||
const now = yield* Clock.currentTimeMillis
|
||||
|
||||
@@ -25,7 +25,10 @@ import { MCP } from "@/mcp"
|
||||
import { PermissionV1 } from "@opencode-ai/core/v1/permission"
|
||||
|
||||
export function provider(model: Provider.Model) {
|
||||
if (model.api.id.includes("muse-spark")) return [PROMPT_META]
|
||||
if (model.api.id.includes("muse")) {
|
||||
const name = model.api.id.includes("muse-glimmer") ? "Muse Glimmer" : "Muse Spark"
|
||||
return [PROMPT_META.replaceAll("{{MODEL_NAME}}", name)]
|
||||
}
|
||||
if (model.api.id.includes("gpt-4") || model.api.id.includes("o1") || model.api.id.includes("o3"))
|
||||
return [PROMPT_BEAST]
|
||||
if (model.api.id.includes("gpt")) {
|
||||
@@ -37,7 +40,11 @@ export function provider(model: Provider.Model) {
|
||||
if (model.api.id.includes("gemini-")) return [PROMPT_GEMINI]
|
||||
if (model.api.id.includes("claude")) return [PROMPT_ANTHROPIC]
|
||||
if (model.api.id.toLowerCase().includes("trinity")) return [PROMPT_TRINITY]
|
||||
if (model.api.id.toLowerCase().includes("kimi")) return [PROMPT_KIMI]
|
||||
if (
|
||||
model.api.id.toLowerCase().includes("kimi") ||
|
||||
["kimi-for-coding", "moonshotai", "moonshotai-cn"].includes(model.providerID)
|
||||
)
|
||||
return [PROMPT_KIMI]
|
||||
return [PROMPT_DEFAULT]
|
||||
}
|
||||
|
||||
|
||||
@@ -56,7 +56,12 @@ import { PermissionV1 } from "@opencode-ai/core/v1/permission"
|
||||
import { McpCatalog } from "@/mcp/catalog"
|
||||
|
||||
export function webSearchEnabled(providerID: ProviderV2.ID, flags = { exa: false, parallel: false }) {
|
||||
return providerID === ProviderV2.ID.opencode || flags.exa || flags.parallel
|
||||
return (
|
||||
providerID === ProviderV2.ID.opencode ||
|
||||
providerID === ProviderV2.ID.make("opencode-go") ||
|
||||
flags.exa ||
|
||||
flags.parallel
|
||||
)
|
||||
}
|
||||
|
||||
type TaskDef = Tool.InferDef<typeof TaskTool>
|
||||
|
||||
@@ -4,8 +4,8 @@ import stripAnsi from "strip-ansi"
|
||||
import { defaultConsoleUrl, formatAccountLabel, formatOrgLine } from "../../src/cli/cmd/account"
|
||||
|
||||
describe("console account display", () => {
|
||||
test("uses console.opencode.ai as the default login URL", () => {
|
||||
expect(defaultConsoleUrl).toBe("https://console.opencode.ai")
|
||||
test("uses opencode.ai/console as the default login URL", () => {
|
||||
expect(defaultConsoleUrl).toBe("https://opencode.ai/console")
|
||||
})
|
||||
|
||||
test("includes the account url in account labels", () => {
|
||||
|
||||
@@ -8,6 +8,7 @@ import { Effect, Exit, Fiber, Layer, Schema } from "effect"
|
||||
import { HttpServer, HttpServerRequest, HttpServerResponse } from "effect/unstable/http"
|
||||
import { eq } from "drizzle-orm"
|
||||
import { GlobalBus, type GlobalEvent } from "@/bus/global"
|
||||
import { Project } from "@/project/project"
|
||||
import { Database } from "@opencode-ai/core/database/database"
|
||||
import { ProjectV2 } from "@opencode-ai/core/project"
|
||||
import { ProjectTable } from "@opencode-ai/core/project/sql"
|
||||
@@ -133,6 +134,9 @@ const startWorkspaceSyncingWithFlag = (projectID: ProjectV2.ID, experimentalWork
|
||||
Workspace.use.startWorkspaceSyncing(projectID).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))),
|
||||
)
|
||||
|
||||
const listWithFlag = (project: Project.Info, experimentalWorkspaces: boolean) =>
|
||||
Effect.runPromise(Workspace.use.list(project).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))))
|
||||
|
||||
function captureGlobalEvents() {
|
||||
const events: GlobalEvent[] = []
|
||||
const handler = (event: GlobalEvent) => events.push(event)
|
||||
@@ -417,6 +421,18 @@ describe("workspace CRUD", () => {
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"list is disabled by the experimental workspace flag",
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const instance = yield* requireInstance
|
||||
yield* insertWorkspace(workspaceInfo(instance.project.id, "manual"))
|
||||
|
||||
expect(yield* Effect.promise(() => listWithFlag(instance.project, false))).toEqual([])
|
||||
}),
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"create configures, persists, creates, starts local sync, and passes environment",
|
||||
() =>
|
||||
|
||||
@@ -0,0 +1,259 @@
|
||||
import { afterEach, describe, expect, test } from "bun:test"
|
||||
import type { Hooks } from "@opencode-ai/plugin"
|
||||
import type { Auth, Provider } from "@opencode-ai/sdk/v2"
|
||||
import { OAUTH_DUMMY_KEY } from "../../src/auth"
|
||||
import { createAzureAuthHooks } from "../../src/plugin/azure"
|
||||
|
||||
const resourceName = process.env.AZURE_RESOURCE_NAME
|
||||
|
||||
afterEach(() => {
|
||||
if (resourceName === undefined) delete process.env.AZURE_RESOURCE_NAME
|
||||
else process.env.AZURE_RESOURCE_NAME = resourceName
|
||||
})
|
||||
|
||||
const oauth: Auth = {
|
||||
type: "oauth",
|
||||
access: OAUTH_DUMMY_KEY,
|
||||
refresh: OAUTH_DUMMY_KEY,
|
||||
expires: Date.now() + 60 * 60 * 1000,
|
||||
accountId: "test-resource",
|
||||
}
|
||||
|
||||
const provider: Provider = {
|
||||
id: "azure",
|
||||
name: "Azure",
|
||||
source: "custom",
|
||||
env: [],
|
||||
options: {},
|
||||
models: {},
|
||||
}
|
||||
|
||||
function oauthMethod(hooks: Hooks) {
|
||||
const method = hooks.auth?.methods.find((method) => method.type === "oauth")
|
||||
if (!method || method.type !== "oauth") throw new Error("Azure OAuth method is missing")
|
||||
return method
|
||||
}
|
||||
|
||||
function loader(hooks: Hooks) {
|
||||
if (!hooks.auth?.loader) throw new Error("Azure auth loader is missing")
|
||||
return hooks.auth.loader
|
||||
}
|
||||
|
||||
function customFetch(options: Record<string, unknown>) {
|
||||
const result = options["fetch"]
|
||||
if (typeof result !== "function") throw new Error("Azure custom fetch is missing")
|
||||
return async (input: RequestInfo | URL, init?: RequestInit) => {
|
||||
const response: unknown = await Reflect.apply(result, undefined, [input, init])
|
||||
if (!(response instanceof Response)) throw new Error("Azure custom fetch returned an invalid response")
|
||||
return response
|
||||
}
|
||||
}
|
||||
|
||||
function models(...ids: string[]): Provider["models"] {
|
||||
return Object.fromEntries(
|
||||
ids.map((id) => [
|
||||
id,
|
||||
{
|
||||
id,
|
||||
providerID: "azure",
|
||||
name: id,
|
||||
family: "",
|
||||
api: { id, url: "", npm: "@ai-sdk/azure" },
|
||||
status: "active",
|
||||
headers: {},
|
||||
options: {},
|
||||
cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
|
||||
limit: { context: 0, output: 0 },
|
||||
capabilities: {
|
||||
temperature: true,
|
||||
reasoning: false,
|
||||
attachment: false,
|
||||
toolcall: true,
|
||||
input: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
interleaved: false,
|
||||
},
|
||||
release_date: "",
|
||||
variants: {},
|
||||
},
|
||||
]),
|
||||
)
|
||||
}
|
||||
|
||||
function azureShell(scopes: string[]) {
|
||||
return (_strings: TemplateStringsArray, ...values: string[]) => {
|
||||
const output = {
|
||||
quiet: () => output,
|
||||
json: async () => {
|
||||
const scope = values[0]
|
||||
scopes.push(scope)
|
||||
return {
|
||||
accessToken: `${scope}-token`,
|
||||
expires_on: Math.floor((Date.now() + 60 * 60 * 1000) / 1000),
|
||||
}
|
||||
},
|
||||
}
|
||||
return output
|
||||
}
|
||||
}
|
||||
|
||||
function discoveryShell(accounts: unknown, deployments: unknown, commands: string[]) {
|
||||
return (strings: TemplateStringsArray, ...values: string[]) => {
|
||||
const command = String.raw(strings, ...values)
|
||||
commands.push(command)
|
||||
const output = {
|
||||
quiet: () => output,
|
||||
json: async () => (command.includes("deployment list") ? deployments : accounts),
|
||||
}
|
||||
return output
|
||||
}
|
||||
}
|
||||
|
||||
describe("plugin.azure", () => {
|
||||
test("keeps the existing API-key method and adds Entra ID", () => {
|
||||
delete process.env.AZURE_RESOURCE_NAME
|
||||
const hooks = createAzureAuthHooks(azureShell([]))
|
||||
|
||||
expect(hooks.auth?.provider).toBe("azure")
|
||||
expect(hooks.provider?.id).toBe("azure")
|
||||
expect(hooks.auth?.methods.map((method) => [method.type, method.label])).toEqual([
|
||||
["api", "API key"],
|
||||
["oauth", "Microsoft Entra ID (Azure CLI)"],
|
||||
])
|
||||
expect(hooks.auth?.methods[0]).toEqual({
|
||||
type: "api",
|
||||
label: "API key",
|
||||
prompts: [
|
||||
{
|
||||
type: "text",
|
||||
key: "resourceName",
|
||||
message: "Enter Azure Resource Name",
|
||||
placeholder: "e.g. my-models",
|
||||
},
|
||||
],
|
||||
})
|
||||
expect(hooks.auth?.methods[1].prompts).toEqual(hooks.auth?.methods[0].prompts)
|
||||
})
|
||||
|
||||
test("checks Azure CLI and stores the resource name", async () => {
|
||||
const scopes: string[] = []
|
||||
const hooks = createAzureAuthHooks(azureShell(scopes))
|
||||
const authorization = await oauthMethod(hooks).authorize({ resourceName: "test-resource" })
|
||||
if (authorization.method !== "auto") throw new Error("Unexpected Azure authorization method")
|
||||
|
||||
expect(await authorization.callback()).toMatchObject({
|
||||
type: "success",
|
||||
access: OAUTH_DUMMY_KEY,
|
||||
refresh: OAUTH_DUMMY_KEY,
|
||||
accountId: "test-resource",
|
||||
})
|
||||
expect(scopes).toEqual(["https://cognitiveservices.azure.com/.default"])
|
||||
})
|
||||
|
||||
test("discovers deployed models through Azure CLI", async () => {
|
||||
const commands: string[] = []
|
||||
const hooks = createAzureAuthHooks(
|
||||
discoveryShell(
|
||||
[{ name: "test-resource", resourceGroup: "test-group" }],
|
||||
[
|
||||
{
|
||||
name: "gpt-production",
|
||||
properties: { model: { name: "gpt-5-mini" }, provisioningState: "Succeeded" },
|
||||
},
|
||||
{
|
||||
name: "DeepSeek-V4-Flash",
|
||||
properties: { model: { name: "DeepSeek-V4-Flash" }, provisioningState: "Succeeded" },
|
||||
},
|
||||
{
|
||||
name: "phi-production",
|
||||
properties: { model: { name: "Phi-4-mini-instruct" }, provisioningState: "Succeeded" },
|
||||
},
|
||||
{
|
||||
name: "gpt-5-nano",
|
||||
properties: { model: { name: "gpt-5-nano" }, provisioningState: "Creating" },
|
||||
},
|
||||
],
|
||||
commands,
|
||||
),
|
||||
)
|
||||
const list = hooks.provider?.models
|
||||
if (!list) throw new Error("Azure provider model hook is missing")
|
||||
|
||||
const result = await list(
|
||||
{
|
||||
...provider,
|
||||
models: models("gpt-5-mini", "deepseek-v4-flash", "phi-4-mini", "phi-4-mini-instruct", "gpt-5-nano"),
|
||||
},
|
||||
{ auth: oauth },
|
||||
)
|
||||
|
||||
expect(Object.keys(result)).toEqual(["gpt-5-mini", "deepseek-v4-flash", "phi-4-mini-instruct"])
|
||||
expect(result["gpt-5-mini"].api.id).toBe("gpt-production")
|
||||
expect(result["deepseek-v4-flash"].api.id).toBe("DeepSeek-V4-Flash")
|
||||
expect(result["phi-4-mini-instruct"].api.id).toBe("phi-production")
|
||||
expect(commands).toEqual([
|
||||
"az cognitiveservices account list --output json --only-show-errors",
|
||||
"az cognitiveservices account deployment list --name test-resource --resource-group test-group --output json --only-show-errors",
|
||||
])
|
||||
})
|
||||
|
||||
test("keeps startup running when Azure discovery fails", async () => {
|
||||
const hooks = createAzureAuthHooks(() => {
|
||||
const output = {
|
||||
quiet: () => output,
|
||||
json: async () => {
|
||||
throw new Error("Azure CLI failed")
|
||||
},
|
||||
}
|
||||
return output
|
||||
})
|
||||
const list = hooks.provider?.models
|
||||
if (!list) throw new Error("Azure provider model hook is missing")
|
||||
|
||||
expect(await list({ ...provider, models: models("gpt-5-mini") }, { auth: oauth })).toEqual({})
|
||||
})
|
||||
|
||||
test("does not change API-key loading", async () => {
|
||||
const scopes: string[] = []
|
||||
const hooks = createAzureAuthHooks(azureShell(scopes))
|
||||
const catalog = models("gpt-5-mini")
|
||||
const list = hooks.provider?.models
|
||||
if (!list) throw new Error("Azure provider model hook is missing")
|
||||
|
||||
expect(await loader(hooks)(async () => ({ type: "api", key: "test-key" }), provider)).toEqual({})
|
||||
expect(await list({ ...provider, models: catalog }, { auth: { type: "api", key: "test-key" } })).toBe(catalog)
|
||||
expect(scopes).toEqual([])
|
||||
})
|
||||
|
||||
test("uses Azure CLI bearer tokens for Azure inference endpoints", async () => {
|
||||
const scopes: string[] = []
|
||||
const requests: Headers[] = []
|
||||
const hooks = createAzureAuthHooks(azureShell(scopes), async (_input, init) => {
|
||||
requests.push(new Headers(init?.headers))
|
||||
return new Response(null, { status: 200 })
|
||||
})
|
||||
const options = await loader(hooks)(async () => oauth, provider)
|
||||
const request = customFetch(options)
|
||||
|
||||
await request("https://test-resource.openai.azure.com/openai/v1/responses", {
|
||||
headers: { "api-key": OAUTH_DUMMY_KEY, "x-keep": "yes" },
|
||||
})
|
||||
await request("https://test-resource.services.ai.azure.com/models/chat/completions", {
|
||||
headers: { Authorization: `Bearer ${OAUTH_DUMMY_KEY}` },
|
||||
})
|
||||
await request("https://test-resource.services.ai.azure.com/anthropic/v1/messages", {
|
||||
headers: { "x-api-key": OAUTH_DUMMY_KEY },
|
||||
})
|
||||
|
||||
expect(scopes).toEqual(["https://cognitiveservices.azure.com/.default", "https://ai.azure.com/.default"])
|
||||
expect(requests.map((headers) => headers.get("authorization"))).toEqual([
|
||||
"Bearer https://cognitiveservices.azure.com/.default-token",
|
||||
"Bearer https://cognitiveservices.azure.com/.default-token",
|
||||
"Bearer https://ai.azure.com/.default-token",
|
||||
])
|
||||
expect(requests[0].get("api-key")).toBeNull()
|
||||
expect(requests[0].get("x-keep")).toBe("yes")
|
||||
expect(requests[2].get("x-api-key")).toBeNull()
|
||||
expect(requests.every((headers) => headers.get("user-agent")?.startsWith("opencode/"))).toBe(true)
|
||||
})
|
||||
})
|
||||
@@ -13,56 +13,13 @@ const pluginInput = {
|
||||
$: {} as never,
|
||||
}
|
||||
|
||||
function makeHookInput(overrides: { providerID?: string; apiId?: string; reasoning?: boolean }) {
|
||||
return {
|
||||
sessionID: "s",
|
||||
agent: "a",
|
||||
provider: {} as never,
|
||||
message: {} as never,
|
||||
model: {
|
||||
providerID: overrides.providerID ?? "cloudflare-ai-gateway",
|
||||
api: { id: overrides.apiId ?? "openai/gpt-5.2-codex", url: "", npm: "ai-gateway-provider" },
|
||||
capabilities: {
|
||||
reasoning: overrides.reasoning ?? true,
|
||||
temperature: false,
|
||||
attachment: true,
|
||||
toolcall: true,
|
||||
input: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
interleaved: false,
|
||||
},
|
||||
} as never,
|
||||
}
|
||||
}
|
||||
|
||||
function makeHookOutput() {
|
||||
return { temperature: 0, topP: 1, topK: 0, maxOutputTokens: 32_000 as number | undefined, options: {} }
|
||||
}
|
||||
|
||||
test("omits maxOutputTokens for openai reasoning models on cloudflare-ai-gateway", async () => {
|
||||
test("registers the cloudflare-ai-gateway auth method", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-5.2-codex", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBeUndefined()
|
||||
expect(hooks.auth?.provider).toBe("cloudflare-ai-gateway")
|
||||
expect(hooks.auth?.methods).toHaveLength(1)
|
||||
})
|
||||
|
||||
test("keeps maxOutputTokens for openai non-reasoning models", async () => {
|
||||
test("no longer drops maxOutputTokens; OpenAI models ride the Responses API passthrough", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-4-turbo", reasoning: false }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
test("keeps maxOutputTokens for non-openai reasoning models on cloudflare-ai-gateway", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "anthropic/claude-sonnet-4-5", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
test("ignores non-cloudflare-ai-gateway providers", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ providerID: "openai", apiId: "gpt-5.2-codex", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
expect(hooks["chat.params"]).toBeUndefined()
|
||||
})
|
||||
|
||||
@@ -181,9 +181,9 @@ describe("plugin.codex", () => {
|
||||
|
||||
expect(models["gpt-5.4"]?.limit).toEqual(limit)
|
||||
expect(models["gpt-5.5"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.4-pro"]).toBeUndefined()
|
||||
expect(models["gpt-5.7-pro"]).toBeDefined()
|
||||
expect(models["gpt-5.6-sol-high"]).toBeDefined()
|
||||
|
||||
@@ -187,6 +187,74 @@ test("converts Copilot AIC token prices to USD per million tokens", async () =>
|
||||
expect(models["ignored-non-chat-record"]).toBeUndefined()
|
||||
})
|
||||
|
||||
test("detects PDF input support when vision and media type are advertised", async () => {
|
||||
globalThis.fetch = mock(() =>
|
||||
Promise.resolve(
|
||||
new Response(
|
||||
JSON.stringify({
|
||||
data: [
|
||||
{
|
||||
model_picker_enabled: true,
|
||||
id: "pdf-model",
|
||||
name: "PDF Model",
|
||||
version: "pdf-model-2026-06-01",
|
||||
capabilities: {
|
||||
family: "pdf-model",
|
||||
limits: {
|
||||
max_context_window_tokens: 128000,
|
||||
max_output_tokens: 16384,
|
||||
max_prompt_tokens: 128000,
|
||||
vision: {
|
||||
max_prompt_image_size: 10000000,
|
||||
max_prompt_images: 10,
|
||||
supported_media_types: ["application/pdf"],
|
||||
},
|
||||
},
|
||||
supports: {
|
||||
streaming: true,
|
||||
vision: true,
|
||||
tool_calls: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
model_picker_enabled: true,
|
||||
id: "vision-only-model",
|
||||
name: "Vision Only Model",
|
||||
version: "vision-only-model-2026-06-01",
|
||||
capabilities: {
|
||||
family: "vision-only-model",
|
||||
limits: {
|
||||
max_context_window_tokens: 128000,
|
||||
max_output_tokens: 16384,
|
||||
max_prompt_tokens: 128000,
|
||||
vision: {
|
||||
max_prompt_image_size: 10000000,
|
||||
max_prompt_images: 10,
|
||||
supported_media_types: ["image/png"],
|
||||
},
|
||||
},
|
||||
supports: {
|
||||
streaming: true,
|
||||
vision: true,
|
||||
tool_calls: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
}),
|
||||
{ status: 200 },
|
||||
),
|
||||
),
|
||||
) as unknown as typeof fetch
|
||||
|
||||
const models = (await CopilotModels.get("https://api.githubcopilot.com")).models
|
||||
const model = models["pdf-model"]
|
||||
|
||||
expect(model.capabilities.input.pdf).toBe(true)
|
||||
expect(models["vision-only-model"].capabilities.input.pdf).toBe(false)
|
||||
})
|
||||
|
||||
test("uses zero cost when Copilot reports a zero billing batch size", async () => {
|
||||
globalThis.fetch = mock(() =>
|
||||
Promise.resolve(
|
||||
|
||||
@@ -1,22 +1,26 @@
|
||||
// End-to-end regression test for opencode#24432.
|
||||
// End-to-end regression tests for opencode#24432 and opencode#32051/#32052.
|
||||
//
|
||||
// Routes through the actual ai-gateway-provider + @ai-sdk/openai-compatible
|
||||
// chain that provider.ts:811 builds at runtime, with only the network boundary
|
||||
// stubbed. Asserts that `reasoning_effort` (and other provider options the
|
||||
// transform emits) actually land in the body Cloudflare AI Gateway forwards
|
||||
// upstream, which is the only place the bug was observable.
|
||||
// Routes through the actual ai-gateway-provider chain that provider.ts builds at
|
||||
// runtime, with only the network boundary stubbed:
|
||||
// - openai/* -> native OpenAI passthrough (Responses API)
|
||||
// - anthropic/* -> native Anthropic passthrough (Messages API)
|
||||
// - everything else -> unified /compat (openai-compatible chat completions)
|
||||
// Asserts what actually lands in the envelope body Cloudflare AI Gateway
|
||||
// forwards upstream, which is the only place these bugs were observable.
|
||||
|
||||
import { afterEach, beforeEach, describe, expect, test } from "bun:test"
|
||||
import type { JSONValue } from "ai"
|
||||
import { generateText } from "ai"
|
||||
import { createAiGateway } from "ai-gateway-provider"
|
||||
import { createUnified } from "ai-gateway-provider/providers/unified"
|
||||
import { createOpenAI } from "ai-gateway-provider/providers/openai"
|
||||
import { createAnthropic } from "ai-gateway-provider/providers/anthropic"
|
||||
import { ProviderTransform } from "@/provider/transform"
|
||||
import type * as Provider from "@/provider/provider"
|
||||
import { ProviderV2 } from "@opencode-ai/core/provider"
|
||||
import { ModelV2 } from "@opencode-ai/core/model"
|
||||
|
||||
type Captured = { url: string; outerBody: unknown }
|
||||
type Captured = { url: string; outerBody: unknown; headers: Record<string, string> }
|
||||
type ProviderOptions = Record<string, Record<string, JSONValue>>
|
||||
|
||||
const realFetch = globalThis.fetch
|
||||
@@ -26,24 +30,76 @@ function isRecord(value: unknown): value is Record<string, unknown> {
|
||||
return typeof value === "object" && value !== null && !Array.isArray(value)
|
||||
}
|
||||
|
||||
// The gateway returns the upstream provider's response body verbatim, so the
|
||||
// mock must answer in the wire format of the step's target provider.
|
||||
function upstreamResponseBody(provider: string | undefined) {
|
||||
if (provider === "openai")
|
||||
return {
|
||||
id: "resp_test",
|
||||
object: "response",
|
||||
created_at: 0,
|
||||
model: "gpt-5.4",
|
||||
status: "completed",
|
||||
error: null,
|
||||
incomplete_details: null,
|
||||
output: [
|
||||
{
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
id: "msg_1",
|
||||
status: "completed",
|
||||
content: [{ type: "output_text", text: "ok", annotations: [] }],
|
||||
},
|
||||
],
|
||||
usage: {
|
||||
input_tokens: 1,
|
||||
input_tokens_details: { cached_tokens: 0 },
|
||||
output_tokens: 1,
|
||||
output_tokens_details: { reasoning_tokens: 0 },
|
||||
total_tokens: 2,
|
||||
},
|
||||
}
|
||||
if (provider === "anthropic")
|
||||
return {
|
||||
id: "msg_test",
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
model: "claude-sonnet-4-6",
|
||||
content: [{ type: "text", text: "ok" }],
|
||||
stop_reason: "end_turn",
|
||||
stop_sequence: null,
|
||||
usage: { input_tokens: 1, output_tokens: 1 },
|
||||
}
|
||||
return {
|
||||
id: "chatcmpl-test",
|
||||
object: "chat.completion",
|
||||
created: 0,
|
||||
model: "test",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
}
|
||||
}
|
||||
|
||||
beforeEach(() => {
|
||||
captured = null
|
||||
const handle = async (input: Parameters<typeof fetch>[0], init?: Parameters<typeof fetch>[1]): Promise<Response> => {
|
||||
const url = typeof input === "string" ? input : input instanceof URL ? input.toString() : input.url
|
||||
if (url.startsWith("https://gateway.ai.cloudflare.com/")) {
|
||||
const bodyText = typeof init?.body === "string" ? init.body : ""
|
||||
captured = { url, outerBody: bodyText ? JSON.parse(bodyText) : null }
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
id: "chatcmpl-test",
|
||||
object: "chat.completion",
|
||||
created: 0,
|
||||
model: "openai/gpt-5.4",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
}),
|
||||
{ status: 200, headers: { "Content-Type": "application/json" } },
|
||||
)
|
||||
const outerBody = bodyText ? JSON.parse(bodyText) : null
|
||||
captured = {
|
||||
url,
|
||||
outerBody,
|
||||
headers: Object.fromEntries(new Headers(init?.headers).entries()),
|
||||
}
|
||||
const provider =
|
||||
Array.isArray(outerBody) && isRecord(outerBody[0]) && typeof outerBody[0].provider === "string"
|
||||
? outerBody[0].provider
|
||||
: undefined
|
||||
return new Response(JSON.stringify(upstreamResponseBody(provider)), {
|
||||
status: 200,
|
||||
headers: { "Content-Type": "application/json" },
|
||||
})
|
||||
}
|
||||
return realFetch(input, init)
|
||||
}
|
||||
@@ -56,11 +112,19 @@ afterEach(() => {
|
||||
globalThis.fetch = realFetch
|
||||
})
|
||||
|
||||
// Mirrors the runtime npm rewrite in provider.ts: openai/anthropic models carry
|
||||
// their native SDK package so transforms key provider options correctly.
|
||||
const cfNpm = (apiId: string) => {
|
||||
if (apiId.startsWith("openai/")) return "@ai-sdk/openai"
|
||||
if (apiId.startsWith("anthropic/")) return "@ai-sdk/anthropic"
|
||||
return "ai-gateway-provider"
|
||||
}
|
||||
|
||||
const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => ({
|
||||
id: ModelV2.ID.make(`cloudflare-ai-gateway/${apiId}`),
|
||||
providerID: ProviderV2.ID.make("cloudflare-ai-gateway"),
|
||||
name: apiId,
|
||||
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: "ai-gateway-provider" },
|
||||
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: cfNpm(apiId) },
|
||||
capabilities: {
|
||||
reasoning: true,
|
||||
temperature: false,
|
||||
@@ -80,53 +144,165 @@ const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => (
|
||||
|
||||
// ai-gateway-provider sends an array of step descriptors; each entry's `query`
|
||||
// is the body forwarded to the upstream provider.
|
||||
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
|
||||
function firstStep(body: unknown): Record<string, unknown> | undefined {
|
||||
if (!Array.isArray(body) || body.length === 0) return undefined
|
||||
const first = body[0]
|
||||
if (!isRecord(first)) return undefined
|
||||
const query = first.query
|
||||
return isRecord(first) ? first : undefined
|
||||
}
|
||||
|
||||
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
|
||||
const query = firstStep(body)?.query
|
||||
return isRecord(query) ? query : undefined
|
||||
}
|
||||
|
||||
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions) {
|
||||
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: "test" })
|
||||
const unified = createUnified()
|
||||
await generateText({ model: aigateway(unified(apiId)), prompt: "hi", providerOptions })
|
||||
// Each step descriptor also carries the `headers` forwarded to the upstream provider.
|
||||
function extractUpstreamHeaders(body: unknown): Record<string, unknown> | undefined {
|
||||
const headers = firstStep(body)?.headers
|
||||
return isRecord(headers) ? headers : undefined
|
||||
}
|
||||
|
||||
// Mirrors the runtime routing in provider.ts getModel.
|
||||
function gatewayModel(apiId: string, gatewayToken = "test") {
|
||||
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: gatewayToken })
|
||||
if (apiId.startsWith("openai/")) return aigateway(createOpenAI()(apiId.slice("openai/".length)))
|
||||
if (apiId.startsWith("anthropic/")) return aigateway(createAnthropic()(apiId.slice("anthropic/".length)))
|
||||
const isWorkersAi = apiId.startsWith("workers-ai/") || apiId.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: gatewayToken } : {})
|
||||
return aigateway(unified(apiId))
|
||||
}
|
||||
|
||||
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions, gatewayToken = "test") {
|
||||
await generateText({ model: gatewayModel(apiId, gatewayToken), prompt: "hi", providerOptions })
|
||||
return extractUpstreamQuery(captured?.outerBody)
|
||||
}
|
||||
|
||||
describe("cf-ai-gateway routing", () => {
|
||||
test("openai/* rides the native OpenAI passthrough on the Responses API", async () => {
|
||||
await callThroughGateway("openai/gpt-5.4", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("openai")
|
||||
expect(step?.endpoint).toBe("v1/responses")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("gpt-5.4")
|
||||
})
|
||||
|
||||
test("anthropic/* rides the native Anthropic passthrough on the Messages API", async () => {
|
||||
await callThroughGateway("anthropic/claude-sonnet-4-6", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("anthropic")
|
||||
expect(step?.endpoint).toBe("v1/messages")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("claude-sonnet-4-6")
|
||||
})
|
||||
|
||||
test("workers-ai models stay on the unified /compat route", async () => {
|
||||
await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("compat")
|
||||
expect(step?.endpoint).toBe("chat/completions")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("workers-ai/@cf/moonshotai/kimi-k2.6")
|
||||
})
|
||||
})
|
||||
|
||||
describe("cf-ai-gateway end-to-end (regression: #24432)", () => {
|
||||
test("ProviderTransform.providerOptions output puts reasoning_effort on the wire", async () => {
|
||||
// The full chain the runtime exercises:
|
||||
// transform.providerOptions() -> openaiCompatible key
|
||||
// -> @ai-sdk/openai-compatible reads it as compatibleOptions
|
||||
// -> emits body.reasoning_effort
|
||||
test("ProviderTransform.providerOptions output puts reasoning effort on the Responses wire", async () => {
|
||||
// The full chain the runtime exercises for OpenAI models:
|
||||
// transform.providerOptions() -> "openai" key (npm rewritten to @ai-sdk/openai)
|
||||
// -> OpenAIResponsesLanguageModel emits body.reasoning.effort
|
||||
// -> ai-gateway-provider wraps the body and forwards to gateway.ai.cloudflare.com
|
||||
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), { reasoningEffort: "xhigh" })
|
||||
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "xhigh" } })
|
||||
expect(Object.keys(opts)).toEqual(["openai"])
|
||||
expect(opts.openai.reasoningEffort).toBe("xhigh")
|
||||
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
|
||||
expect(upstream?.reasoning_effort).toBe("xhigh")
|
||||
expect((upstream?.reasoning as Record<string, unknown> | undefined)?.effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
test("variants() output for openai/gpt-5.4 lands xhigh on the wire", async () => {
|
||||
// The other half of the bug: workflow `variant: xhigh` flows through variants()
|
||||
// and must reach the wire. variants() returns the providerOptions payload
|
||||
// unwrapped; providerOptions() wraps it under the SDK key.
|
||||
// fromModelsDevModel resolves the native npm before computing variants, so
|
||||
// OpenAI models get full Responses-flavored payloads (summary + encrypted
|
||||
// reasoning include for stateless multi-turn reasoning).
|
||||
const variants = ProviderTransform.variants(cfModel("openai/gpt-5.4"))
|
||||
expect(variants.xhigh).toEqual({ reasoningEffort: "xhigh" })
|
||||
expect(variants.xhigh).toEqual({
|
||||
reasoningEffort: "xhigh",
|
||||
reasoningSummary: "auto",
|
||||
include: ["reasoning.encrypted_content"],
|
||||
})
|
||||
|
||||
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), variants.xhigh)
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
|
||||
expect(upstream?.reasoning_effort).toBe("xhigh")
|
||||
const reasoning = upstream?.reasoning as Record<string, unknown> | undefined
|
||||
expect(reasoning?.effort).toBe("xhigh")
|
||||
expect(reasoning?.summary).toBe("auto")
|
||||
})
|
||||
|
||||
test("reasoning effort variants for anthropic models land as native adaptive thinking", async () => {
|
||||
// Mirrors the runtime catalog path: models.dev reasoning_options -> reasoningVariants
|
||||
// computed on the native @ai-sdk/anthropic npm -> adaptive thinking + output_config.effort.
|
||||
const model = cfModel("anthropic/claude-sonnet-4-6")
|
||||
const variants = ProviderTransform.reasoningVariants(
|
||||
{ reasoning_options: [{ type: "effort", values: ["low", "medium", "high"] }] } as never,
|
||||
model,
|
||||
)
|
||||
expect(variants?.high).toMatchObject({ effort: "high" })
|
||||
|
||||
const opts = ProviderTransform.providerOptions(model, variants!.high)
|
||||
expect(Object.keys(opts)).toEqual(["anthropic"])
|
||||
|
||||
const upstream = await callThroughGateway("anthropic/claude-sonnet-4-6", opts)
|
||||
expect((upstream?.thinking as Record<string, unknown> | undefined)?.type).toBe("adaptive")
|
||||
expect((upstream?.output_config as Record<string, unknown> | undefined)?.effort).toBe("high")
|
||||
})
|
||||
|
||||
test("reasoning_effort still reaches the /compat wire for workers-ai models", async () => {
|
||||
const model = cfModel("workers-ai/@cf/moonshotai/kimi-k2.6")
|
||||
const opts = ProviderTransform.providerOptions(model, { reasoningEffort: "high" })
|
||||
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "high" } })
|
||||
|
||||
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", opts)
|
||||
expect(upstream?.reasoning_effort).toBe("high")
|
||||
})
|
||||
|
||||
test("legacy buggy key 'cloudflare-ai-gateway' does NOT reach the wire (proves the bug)", async () => {
|
||||
// Sanity: confirms the bug class. If a future change accidentally restores
|
||||
// providerID-keyed providerOptions, this test fails before users notice.
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", {
|
||||
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {
|
||||
"cloudflare-ai-gateway": { reasoningEffort: "high" },
|
||||
})
|
||||
expect(upstream?.reasoning_effort).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("cf-ai-gateway token scoping (regression: #32051/#32052)", () => {
|
||||
test("openai passthrough does NOT forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("openai/gpt-5.4", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
// Security invariant: the Cloudflare token must never become the upstream provider's Authorization.
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBeUndefined()
|
||||
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("anthropic passthrough does NOT forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("anthropic/claude-sonnet-4-6", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["x-api-key"]).toBeUndefined()
|
||||
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("workers-ai models DO forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("workers-ai/@cf/google/gemma-4-26b-a4b-it", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("bare @cf/ Workers AI models DO forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("@cf/meta/llama-3.1-8b-instruct", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
})
|
||||
})
|
||||
|
||||
@@ -1548,6 +1548,33 @@ test("models.dev reasoning options replace generated variants and unsupported to
|
||||
expect(models["gemini-3-pro-fast"].variants).toEqual(models.override.variants)
|
||||
})
|
||||
|
||||
test("MERGE Gateway exposes declared effort variants without model-specific handling", () => {
|
||||
const provider = {
|
||||
id: "merge-gateway",
|
||||
name: "MERGE Gateway",
|
||||
env: ["MERGE_GATEWAY_API_KEY"],
|
||||
npm: "merge-gateway-ai-sdk-provider",
|
||||
models: {
|
||||
"openai/gpt-5.6-sol": {
|
||||
id: "openai/gpt-5.6-sol",
|
||||
name: "GPT-5.6 Sol",
|
||||
reasoning: true,
|
||||
reasoning_options: [{ type: "effort", values: ["none", "low", "medium", "high", "xhigh", "max"] }],
|
||||
limit: { context: 128_000, output: 64_000 },
|
||||
},
|
||||
},
|
||||
} as unknown as ModelsDev.Provider
|
||||
|
||||
expect(Provider.fromModelsDevProvider(provider).models["openai/gpt-5.6-sol"].variants).toEqual({
|
||||
none: { reasoningEffort: "none" },
|
||||
low: { reasoningEffort: "low" },
|
||||
medium: { reasoningEffort: "medium" },
|
||||
high: { reasoningEffort: "high" },
|
||||
xhigh: { reasoningEffort: "xhigh" },
|
||||
max: { reasoningEffort: "max" },
|
||||
})
|
||||
})
|
||||
|
||||
test("public provider info omits invalid models", () => {
|
||||
const provider = Provider.fromModelsDevProvider({
|
||||
id: "test",
|
||||
|
||||
@@ -3272,6 +3272,37 @@ describe("ProviderTransform sampling defaults - Gemini", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform sampling defaults - DeepSeek", () => {
|
||||
const model = (providerID: string, id: string) =>
|
||||
({
|
||||
id: `${providerID}/${id}`,
|
||||
providerID,
|
||||
api: { id },
|
||||
}) as any
|
||||
|
||||
test.each([
|
||||
["deepseek", "deepseek-v4-flash"],
|
||||
["opencode", "deepseek-v4-flash"],
|
||||
["opencode-go", "deepseek-v4-flash"],
|
||||
["openrouter", "deepseek/deepseek-v4-flash-0731"],
|
||||
["ollama-cloud", "deepseek-v4-flash:0731"],
|
||||
])("defaults top_p for %s/%s", (providerID, id) => {
|
||||
expect(ProviderTransform.temperature(model(providerID, id))).toBeUndefined()
|
||||
expect(ProviderTransform.topP(model(providerID, id))).toBe(0.95)
|
||||
expect(ProviderTransform.topK(model(providerID, id))).toBeUndefined()
|
||||
})
|
||||
|
||||
test.each([
|
||||
["openrouter", "deepseek/deepseek-v4-flash"],
|
||||
["vercel", "deepseek/deepseek-v4-flash"],
|
||||
["custom", "deepseek-ai/DeepSeek-V4-Flash"],
|
||||
])("preserves legacy defaults for %s/%s", (providerID, id) => {
|
||||
expect(ProviderTransform.temperature(model(providerID, id))).toBeUndefined()
|
||||
expect(ProviderTransform.topP(model(providerID, id))).toBeUndefined()
|
||||
expect(ProviderTransform.topK(model(providerID, id))).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform.reasoningVariants", () => {
|
||||
const model = (reasoning_options: ModelsDev.Model["reasoning_options"]) => ({ reasoning_options }) as ModelsDev.Model
|
||||
const target = (npm: string, id = "test-model") =>
|
||||
@@ -3339,6 +3370,7 @@ describe("ProviderTransform.reasoningVariants", () => {
|
||||
["@ai-sdk/togetherai", { reasoningEffort: "high" }],
|
||||
["venice-ai-sdk-provider", { reasoningEffort: "high" }],
|
||||
["ai-gateway-provider", { reasoningEffort: "high" }],
|
||||
["merge-gateway-ai-sdk-provider", { reasoningEffort: "high" }],
|
||||
["@ai-sdk/amazon-bedrock", { reasoningConfig: { type: "enabled", maxReasoningEffort: "high" } }],
|
||||
])("converts effort for %s", (npm, expected, ...args) => {
|
||||
const id = args[0] as string | undefined
|
||||
@@ -5524,6 +5556,25 @@ describe("ProviderTransform.providerOptions - ai-gateway-provider", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform.providerOptions - merge-gateway-ai-sdk-provider", () => {
|
||||
const model = {
|
||||
id: "merge-gateway/openai/gpt-5.6-sol",
|
||||
providerID: "merge-gateway",
|
||||
api: {
|
||||
id: "openai/gpt-5.6-sol",
|
||||
url: "https://api-gateway.merge.dev/v1/ai-sdk",
|
||||
npm: "merge-gateway-ai-sdk-provider",
|
||||
},
|
||||
capabilities: { reasoning: true },
|
||||
} as any
|
||||
|
||||
test("routes normalized effort under the adapter's mergeGateway key", () => {
|
||||
expect(ProviderTransform.providerOptions(model, { reasoningEffort: "high" })).toEqual({
|
||||
mergeGateway: { reasoningEffort: "high" },
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform.options - kimi family adaptive thinking", () => {
|
||||
const createModel = (overrides: Record<string, any> = {}) =>
|
||||
({
|
||||
|
||||
@@ -365,6 +365,20 @@ function autocontinue(enabled: boolean) {
|
||||
})
|
||||
}
|
||||
|
||||
function compactionContext(context: string) {
|
||||
return Layer.mock(Plugin.Service)({
|
||||
trigger: <Name extends string, Input, Output>(name: Name, _input: Input, output: Output) => {
|
||||
if (name !== "experimental.session.compacting") return Effect.succeed(output)
|
||||
return Effect.sync(() => {
|
||||
;(output as { context: string[] }).context.push(context)
|
||||
return output
|
||||
})
|
||||
},
|
||||
list: () => Effect.succeed([]),
|
||||
init: () => Effect.void,
|
||||
})
|
||||
}
|
||||
|
||||
describe("session.compaction.isOverflow", () => {
|
||||
it.live(
|
||||
"returns true when token count exceeds usable context",
|
||||
@@ -1389,11 +1403,21 @@ describe("session.compaction.process", () => {
|
||||
const captured = JSON.stringify(messages)
|
||||
expect(messages).toHaveLength(1)
|
||||
expect(messages[0]?.role).toBe("user")
|
||||
expect(captured).toContain("Here is the conversation so far:")
|
||||
expect(captured).toContain("<conversation>")
|
||||
expect(captured.indexOf("[User]: older context")).toBeLessThan(
|
||||
captured.indexOf("Create a new anchored summary"),
|
||||
)
|
||||
expect(captured).toContain("[User]: older context")
|
||||
expect(captured).not.toContain("keep this turn")
|
||||
expect(captured).not.toContain("and this one too")
|
||||
expect(captured).not.toContain("What did we do so far?")
|
||||
}).pipe(withCompaction({ llm: stub.llmLayer }))
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
config: cfg({ tail_turns: 2, preserve_recent_tokens: 10_000 }),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
@@ -1430,9 +1454,11 @@ describe("session.compaction.process", () => {
|
||||
expect(parent).toBeTruthy()
|
||||
yield* SessionCompaction.use.process({ parentID: parent!, messages: msgs, sessionID: session.id, auto: false })
|
||||
|
||||
expect(captured).toContain("<previous-summary>")
|
||||
expect(captured).toContain("<prior-summary>")
|
||||
expect(captured).toContain("summary one")
|
||||
expect(captured.match(/summary one/g)?.length).toBe(1)
|
||||
expect(captured.indexOf("latest turn")).toBeLessThan(captured.indexOf("<prior-summary>"))
|
||||
expect(captured).toContain("summary of the conversation before the <conversation> above")
|
||||
expect(captured).toContain("## Important Details")
|
||||
expect(captured).toContain("## Work State")
|
||||
}).pipe(withCompaction({ llm: stub.llmLayer }))
|
||||
@@ -1440,6 +1466,49 @@ describe("session.compaction.process", () => {
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
itCompaction.instance(
|
||||
"keeps plugin context outside the serialized conversation",
|
||||
() => {
|
||||
const stub = llm()
|
||||
let captured = ""
|
||||
stub.push(
|
||||
reply("summary", (input) => {
|
||||
captured = JSON.stringify(input.messages)
|
||||
}),
|
||||
)
|
||||
|
||||
return Effect.gen(function* () {
|
||||
const ssn = yield* SessionNs.Service
|
||||
const session = yield* ssn.create({})
|
||||
yield* createUserMessage(session.id, "older context")
|
||||
yield* createUserMessage(session.id, "keep this turn")
|
||||
yield* createUserMessage(session.id, "and this one too")
|
||||
yield* createCompactionMarker(session.id)
|
||||
|
||||
const msgs = yield* ssn.messages({ sessionID: session.id })
|
||||
const parent = msgs.at(-1)?.info.id
|
||||
expect(parent).toBeTruthy()
|
||||
yield* SessionCompaction.use.process({
|
||||
parentID: parent!,
|
||||
messages: msgs,
|
||||
sessionID: session.id,
|
||||
auto: false,
|
||||
})
|
||||
|
||||
expect(captured).toContain("Prioritize unresolved migration details")
|
||||
expect(captured.indexOf("</conversation>")).toBeLessThan(
|
||||
captured.indexOf("Prioritize unresolved migration details"),
|
||||
)
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
plugin: compactionContext("Prioritize unresolved migration details"),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
itCompaction.instance(
|
||||
"serializes repeated compaction history as one user message",
|
||||
() => {
|
||||
|
||||
@@ -35,10 +35,18 @@ function wrap(message: unknown): ReturnType<NamedError["toObject"]> {
|
||||
describe("session.retry.delay", () => {
|
||||
test("caps delay at 30 seconds when headers missing", () => {
|
||||
const error = apiError()
|
||||
const delays = Array.from({ length: 10 }, (_, index) => SessionRetry.delay(index + 1, error))
|
||||
const delays = Array.from({ length: 10 }, (_, index) => SessionRetry.delay(index + 1, error, 0))
|
||||
expect(delays).toStrictEqual([2000, 4000, 8000, 16000, 30000, 30000, 30000, 30000, 30000, 30000])
|
||||
})
|
||||
|
||||
test("adds jitter to exponential delays", () => {
|
||||
const error = apiError()
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 1)).toBe(2500)
|
||||
expect(SessionRetry.delay(4, error, 1)).toBe(20000)
|
||||
expect(SessionRetry.delay(5, error, 1)).toBe(30000)
|
||||
})
|
||||
|
||||
test("prefers retry-after-ms when shorter than exponential", () => {
|
||||
const error = apiError({ "retry-after-ms": "1500" })
|
||||
expect(SessionRetry.delay(4, error)).toBe(1500)
|
||||
@@ -59,18 +67,18 @@ describe("session.retry.delay", () => {
|
||||
|
||||
test("ignores invalid retry hints", () => {
|
||||
const error = apiError({ "retry-after": "not-a-number" })
|
||||
expect(SessionRetry.delay(1, error)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
})
|
||||
|
||||
test("ignores malformed date retry hints", () => {
|
||||
const error = apiError({ "retry-after": "Invalid Date String" })
|
||||
expect(SessionRetry.delay(1, error)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
})
|
||||
|
||||
test("ignores past date retry hints", () => {
|
||||
const pastDate = new Date(Date.now() - 5000).toUTCString()
|
||||
const error = apiError({ "retry-after": pastDate })
|
||||
expect(SessionRetry.delay(1, error)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
})
|
||||
|
||||
test("uses retry-after values even when exceeding 10 minutes with headers", () => {
|
||||
@@ -115,6 +123,29 @@ describe("session.retry.delay", () => {
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.instance("policy stops after five retries", () =>
|
||||
Effect.gen(function* () {
|
||||
const attempts: number[] = []
|
||||
const error = apiError({ "retry-after-ms": "0" })
|
||||
const step = yield* Schedule.toStepWithMetadata(
|
||||
SessionRetry.policy({
|
||||
provider: "test",
|
||||
parse: Schema.decodeUnknownSync(SessionV1.APIError.Schema),
|
||||
set: (info) =>
|
||||
Effect.sync(() => {
|
||||
attempts.push(info.attempt)
|
||||
}),
|
||||
}),
|
||||
)
|
||||
|
||||
yield* Effect.forEach(Array.from({ length: SessionRetry.RETRY_MAX_RETRIES + 1 }), () =>
|
||||
Effect.ignore(step(error)),
|
||||
)
|
||||
|
||||
expect(attempts).toStrictEqual([1, 2, 3, 4, 5])
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
describe("session.retry.retryable", () => {
|
||||
|
||||
@@ -85,9 +85,28 @@ const it = testEffect(
|
||||
|
||||
describe("session.system", () => {
|
||||
test("selects the Meta prompt for Muse Spark model IDs", () => {
|
||||
expect(SystemPrompt.provider({ api: { id: "meta/muse-spark-preview" } } as Provider.Model)[0]).toContain(
|
||||
"Meta Muse Spark",
|
||||
)
|
||||
for (const id of ["meta/muse-spark-preview", "muse-spark-1.1", "muse-spark-1.2"]) {
|
||||
const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("powered by Muse Spark,")
|
||||
expect(prompt).toContain("using Meta Muse Spark.")
|
||||
expect(prompt).not.toContain("{{MODEL_NAME}}")
|
||||
}
|
||||
})
|
||||
|
||||
test("selects the Meta prompt for Muse Glimmer model IDs", () => {
|
||||
for (const id of ["meta/muse-glimmer", "meta/muse-glimmer-30b", "muse-glimmer-30b"]) {
|
||||
const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("powered by Muse Glimmer,")
|
||||
expect(prompt).toContain("using Meta Muse Glimmer.")
|
||||
expect(prompt).not.toContain("{{MODEL_NAME}}")
|
||||
}
|
||||
})
|
||||
|
||||
test("selects the Kimi prompt for official provider model IDs", () => {
|
||||
for (const providerID of ["kimi-for-coding", "moonshotai", "moonshotai-cn"]) {
|
||||
const prompt = SystemPrompt.provider({ providerID, api: { id: "k3" } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("# Prompt and Tool Use")
|
||||
}
|
||||
})
|
||||
|
||||
it.effect("skills output is sorted by name and stable across calls", () =>
|
||||
|
||||
@@ -37,8 +37,9 @@ describe("websearch provider", () => {
|
||||
expect(selectWebSearchProvider(SESSION_ID, { exa: false, parallel: true })).toBe("parallel")
|
||||
})
|
||||
|
||||
test("is only enabled for opencode or explicit websearch provider flags", () => {
|
||||
test("is enabled for OpenCode providers or explicit websearch provider flags", () => {
|
||||
expect(webSearchEnabled(ProviderV2.ID.opencode, { exa: false, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.make("opencode-go"), { exa: false, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: false })).toBe(false)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: true, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: true })).toBe(true)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -241,7 +241,7 @@ export function Footer(props: {
|
||||
{ href: "https://opencode.ai/discord", label: i18n.t("footer.community") },
|
||||
{ href: "https://x.com/opencode", label: "X" },
|
||||
{ href: githubLink.href, label: i18n.t("header.github") },
|
||||
{ href: "https://www.youtube.com/@anomaly-co", label: i18n.t("footer.youtube") },
|
||||
{ href: "https://www.youtube.com/@anomalyco", label: i18n.t("footer.youtube") },
|
||||
]
|
||||
const bridge = () =>
|
||||
props.bridge === undefined
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.16",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -12,6 +12,7 @@
|
||||
"./database": "./src/database.ts",
|
||||
"./database/*": "./src/database/*.ts",
|
||||
"./domain/*": "./src/domain/*.ts",
|
||||
"./r2-sql": "./src/r2-sql.ts",
|
||||
"./runtime": "./src/runtime.ts",
|
||||
"./stat-sync": "./src/stat-sync.ts"
|
||||
},
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
|
||||
import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
|
||||
import { modelAuthor, normalizeInferenceModel, statModel, statProvider } from "./model-normalization"
|
||||
|
||||
describe("inference stat normalization", () => {
|
||||
@@ -82,6 +82,55 @@ describe("inference stat normalization", () => {
|
||||
}),
|
||||
).toMatchObject([{ period_key: "2026-W20" }])
|
||||
})
|
||||
|
||||
test("builds bounded R2 SQL queries for each day and week", () => {
|
||||
const queries = buildStatsQueries(new Date("2026-08-10T00:00:00.000Z"), new Date("2026-08-12T12:00:00.000Z"), {
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
dataset: "zen",
|
||||
})
|
||||
|
||||
expect(queries).toHaveLength(8)
|
||||
expect(queries[0]).toContain("'week' AS grain")
|
||||
expect(queries[0]).toContain("'2026-W33' AS period_key")
|
||||
expect(queries[2]).toContain("'2026-08-10' AS period_key")
|
||||
expect(queries[6]).toContain("'2026-08-12' AS period_key")
|
||||
expect(queries[0]).toContain('FROM "inference"."generation"')
|
||||
expect(queries[0]).toContain("event_type = 'generation.completed'")
|
||||
expect(queries[0]).toContain("product = 'go'")
|
||||
expect(queries[0]).toContain("LIMIT 10000")
|
||||
expect(queries[0]).toContain("approx_distinct(session) AS sessions")
|
||||
expect(queries[1]).toContain("'geo_model' ELSE 'geo'")
|
||||
expect(queries[1]).toContain("0 AS sessions")
|
||||
})
|
||||
|
||||
test("aligns periods to UTC calendar boundaries", () => {
|
||||
const queries = buildStatsQueries(new Date("2026-06-17T15:56:00.000Z"), new Date("2026-06-19T15:56:00.000Z"), {
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
dataset: "zen",
|
||||
})
|
||||
|
||||
expect(queries).toHaveLength(8)
|
||||
expect(queries[0]).toContain("'2026-W25' AS period_key")
|
||||
expect(queries[0]).toContain("started_at >= '2026-06-15T00:00:00.000Z'")
|
||||
expect(queries[2]).toContain("'2026-06-17' AS period_key")
|
||||
expect(queries[2]).toContain("started_at >= '2026-06-17T00:00:00.000Z'")
|
||||
expect(queries[2]).toContain("started_at < '2026-06-18T00:00:00.000Z'")
|
||||
expect(queries[6]).toContain("'2026-06-19' AS period_key")
|
||||
expect(queries[6]).toContain("started_at < '2026-06-19T15:56:00.000Z'")
|
||||
})
|
||||
|
||||
test("uses an exclusive live and legacy source handoff", () => {
|
||||
const [query] = buildStatsQueries(new Date("2026-08-11T00:00:00.000Z"), new Date("2026-08-12T00:00:00.000Z"), {
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
dataset: "zen",
|
||||
})
|
||||
|
||||
expect(query).toContain("(source = 'inference-legacy' AND started_at < '2026-08-11T10:57:48.186Z')")
|
||||
expect(query).toContain("(source = 'inference' AND started_at >= '2026-08-11T10:57:48.186Z')")
|
||||
})
|
||||
})
|
||||
|
||||
function aggregate(model: string, provider: string) {
|
||||
|
||||
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Reference in New Issue
Block a user