mirror of
https://github.com/anomalyco/opencode.git
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Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Dax Raad
|
251ce4a2ab |
@@ -10,7 +10,6 @@ kitlangton
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kommander
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ludvigrask
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MrMushrooooom
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neriousy
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nexxeln
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R44VC0RP
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rekram1-node
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@@ -35,7 +35,6 @@ jobs:
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- run: bun sst deploy --stage=${{ github.ref_name }}
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env:
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GITHUB_TOKEN: ${{ github.token }}
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CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
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PLANETSCALE_SERVICE_TOKEN_NAME: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_NAME }}
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PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
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@@ -4,7 +4,7 @@ import { tool } from "@opencode-ai/plugin"
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const TEAM = {
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tui: ["kommander", "simonklee"],
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desktop_web: ["Hona", "Brendonovich"],
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core: ["jlongster", "rekram1-node", "neriousy", "nexxeln", "kitlangton"],
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core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton"],
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inference: ["fwang", "MrMushrooooom", "starptech"],
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windows: ["Hona"],
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} as const
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@@ -29,7 +29,7 @@
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},
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"packages/app": {
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"name": "@opencode-ai/app",
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"version": "1.18.18",
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"version": "1.18.16",
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"dependencies": {
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"@corvu/drawer": "catalog:",
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"@dnd-kit/abstract": "0.5.0",
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@@ -96,7 +96,7 @@
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},
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"packages/cli": {
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"name": "@opencode-ai/cli",
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"version": "1.18.18",
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"version": "1.18.16",
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"bin": {
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"lildax": "./bin/lildax.cjs",
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},
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@@ -144,7 +144,7 @@
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},
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"packages/codemode": {
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"name": "@opencode-ai/codemode",
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"version": "1.18.18",
|
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"version": "1.18.16",
|
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"dependencies": {
|
||||
"acorn": "8.15.0",
|
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"effect": "catalog:",
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@@ -158,7 +158,7 @@
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},
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"packages/console/app": {
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"name": "@opencode-ai/console-app",
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"version": "1.18.18",
|
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"version": "1.18.16",
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"dependencies": {
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"@cloudflare/vite-plugin": "1.15.2",
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"@ibm/plex": "6.4.1",
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@@ -194,7 +194,7 @@
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},
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"packages/console/core": {
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"name": "@opencode-ai/console-core",
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"version": "1.18.18",
|
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"version": "1.18.16",
|
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"dependencies": {
|
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"@aws-sdk/client-sts": "3.782.0",
|
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"@jsx-email/render": "1.1.1",
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@@ -221,7 +221,7 @@
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},
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"packages/console/function": {
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"name": "@opencode-ai/console-function",
|
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"version": "1.18.18",
|
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"version": "1.18.16",
|
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"dependencies": {
|
||||
"@ai-sdk/anthropic": "3.0.82",
|
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"@ai-sdk/openai": "3.0.48",
|
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@@ -243,7 +243,7 @@
|
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},
|
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"packages/console/mail": {
|
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"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.18",
|
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"version": "1.18.16",
|
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"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
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"@jsx-email/cli": "1.4.3",
|
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@@ -267,7 +267,7 @@
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},
|
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"packages/console/support": {
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"name": "@opencode-ai/console-support",
|
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"version": "1.18.18",
|
||||
"version": "1.18.16",
|
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"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
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"@opencode-ai/console-core": "workspace:*",
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@@ -287,7 +287,7 @@
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},
|
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"packages/core": {
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"name": "@opencode-ai/core",
|
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"version": "1.18.18",
|
||||
"version": "1.18.16",
|
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"bin": {
|
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"opencode": "./bin/opencode",
|
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},
|
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@@ -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": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
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@@ -381,7 +381,7 @@
|
||||
},
|
||||
"packages/desktop": {
|
||||
"name": "@opencode-ai/desktop",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"drizzle-orm": "catalog:",
|
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@@ -435,7 +435,7 @@
|
||||
},
|
||||
"packages/effect-drizzle-sqlite": {
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -449,7 +449,7 @@
|
||||
},
|
||||
"packages/effect-sqlite-node": {
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"effect": "catalog:",
|
||||
},
|
||||
@@ -461,7 +461,7 @@
|
||||
},
|
||||
"packages/enterprise": {
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@hono/standard-validator": "catalog:",
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
@@ -493,7 +493,7 @@
|
||||
},
|
||||
"packages/function": {
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@octokit/auth-app": "8.0.1",
|
||||
"@octokit/rest": "catalog:",
|
||||
@@ -509,7 +509,7 @@
|
||||
},
|
||||
"packages/http-recorder": {
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"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": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@opencode-ai/schema": "workspace:*",
|
||||
"@smithy/eventstream-codec": "4.2.14",
|
||||
@@ -559,7 +559,7 @@
|
||||
},
|
||||
"packages/opencode": {
|
||||
"name": "opencode",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"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": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
@@ -690,7 +690,7 @@
|
||||
},
|
||||
"packages/plugin": {
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
@@ -766,7 +766,7 @@
|
||||
},
|
||||
"packages/sdk/js": {
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"cross-spawn": "catalog:",
|
||||
},
|
||||
@@ -781,7 +781,7 @@
|
||||
},
|
||||
"packages/server": {
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/protocol": "workspace:*",
|
||||
@@ -796,7 +796,7 @@
|
||||
},
|
||||
"packages/session-ui": {
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"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": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
"@slack/bolt": "^3.17.1",
|
||||
@@ -849,7 +849,7 @@
|
||||
},
|
||||
"packages/stats/app": {
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
@@ -883,7 +883,7 @@
|
||||
},
|
||||
"packages/stats/core": {
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"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": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-firehose": "3.933.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -944,7 +944,7 @@
|
||||
},
|
||||
"packages/tui": {
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/plugin": "workspace:*",
|
||||
@@ -971,7 +971,7 @@
|
||||
},
|
||||
"packages/ui": {
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@pierre/diffs": "catalog:",
|
||||
@@ -1022,7 +1022,7 @@
|
||||
},
|
||||
"packages/web": {
|
||||
"name": "@opencode-ai/web",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@astrojs/cloudflare": "12.6.3",
|
||||
"@astrojs/markdown-remark": "6.3.1",
|
||||
@@ -1075,7 +1075,6 @@
|
||||
"@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",
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"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
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"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch",
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"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
|
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"pacote@21.5.0": "patches/pacote@21.5.0.patch",
|
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"@dnd-kit/dom@0.5.0": "patches/@dnd-kit%2Fdom@0.5.0.patch",
|
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@@ -1183,15 +1182,15 @@
|
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|
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"@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=="],
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"@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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@@ -3063,7 +3062,7 @@
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@@ -5667,9 +5666,9 @@
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@@ -5677,15 +5676,15 @@
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@@ -6171,25 +6170,21 @@
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"ai-gateway-provider/@ai-sdk/openai": ["@ai-sdk/openai@3.0.84", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cmgbeJL0bbY0yTJH4/AdmP5E7MjWRL9G8UdhIi0JlV/So03o82ORJofW8OzwCZPTORVQblFbpZXYGDcUd9NdUQ=="],
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"ai-gateway-provider/@ai-sdk/perplexity": ["@ai-sdk/perplexity@3.0.53", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-bL3SWrPltTuxVNg/bZ5APbJLVe0+BIU+BYAbT8Yo0eSAZ5eMTImN2murQHZa08Wi8lUMm8MNolaYBQkb0JDbFw=="],
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@@ -6599,20 +6594,14 @@
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||||
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"@ai-sdk/deepgram/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"@ai-sdk/deepinfra/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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@@ -6987,51 +6976,29 @@
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"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
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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=="],
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"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=="],
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"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=="],
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"ai-gateway-provider/@ai-sdk/xai/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.41", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-kNAGINk71AlOXx10Dq/PXw4t/9XjdK8uxfpVElRwtSFMdeSiLVt58p9TPx4/FJD+hxZuVhvxYj9r42osxWq79g=="],
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@@ -7451,35 +7418,13 @@
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||||
|
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"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=="],
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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|
||||
"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=="],
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|
||||
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"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=="],
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|
||||
"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=="],
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"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=="],
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|
||||
"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=="],
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||||
|
||||
"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=="],
|
||||
"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=="],
|
||||
|
||||
"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
|
||||
|
||||
|
||||
+1
-13
@@ -181,16 +181,6 @@ 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",
|
||||
@@ -203,9 +193,7 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
|
||||
dockerfile: "packages/stats/server/Dockerfile",
|
||||
},
|
||||
command: ["bun", "src/stat-sync.ts"],
|
||||
// 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],
|
||||
link: [database, inferenceEvent, statsSyncConfig],
|
||||
permissions: lakeQueryPermissions,
|
||||
scaling: {
|
||||
min: 1,
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"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="
|
||||
"x86_64-linux": "sha256-uduwrM143NDSc+tXsi4lVVfoMll2a3BDHRUjuO7GB68=",
|
||||
"aarch64-linux": "sha256-6DUda78XdXY6DP86lIUkweSjys3iG4Y4mo1PiaNuXbg=",
|
||||
"aarch64-darwin": "sha256-AkJwfLULLZVwwz+XU1QcFUZoIS7oVPCn+n/MXEaxrqE=",
|
||||
"x86_64-darwin": "sha256-hAxKGdiITTxQ2uujQt6prNjo3NxGAMMeo+9HlMWK6GU="
|
||||
}
|
||||
}
|
||||
|
||||
+1
-2
@@ -159,7 +159,6 @@
|
||||
"@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/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch"
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"description": "",
|
||||
"type": "module",
|
||||
"exports": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"bin": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"description": "Effect-native confined code execution over schema-described tools",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -252,6 +252,7 @@ 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",
|
||||
|
||||
@@ -256,6 +256,7 @@ 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",
|
||||
|
||||
@@ -254,6 +254,7 @@ 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",
|
||||
|
||||
@@ -256,6 +256,7 @@ 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",
|
||||
|
||||
@@ -253,6 +253,7 @@ 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",
|
||||
|
||||
@@ -257,6 +257,7 @@ 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",
|
||||
|
||||
@@ -258,6 +258,7 @@ 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",
|
||||
|
||||
@@ -254,6 +254,7 @@ 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",
|
||||
|
||||
@@ -253,6 +253,7 @@ 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",
|
||||
|
||||
@@ -250,6 +250,7 @@ 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",
|
||||
|
||||
@@ -254,6 +254,7 @@ 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",
|
||||
|
||||
@@ -255,6 +255,7 @@ 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",
|
||||
|
||||
@@ -258,6 +258,7 @@ 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",
|
||||
|
||||
@@ -253,6 +253,7 @@ 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",
|
||||
|
||||
@@ -256,6 +256,7 @@ 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",
|
||||
|
||||
@@ -255,6 +255,7 @@ 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",
|
||||
|
||||
@@ -244,6 +244,7 @@ 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":
|
||||
|
||||
@@ -244,6 +244,7 @@ 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":
|
||||
|
||||
@@ -25,7 +25,6 @@ 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" },
|
||||
@@ -67,17 +66,24 @@ function LimitsGraph(props: { href: string }) {
|
||||
|
||||
const baseline = 100
|
||||
const graph = [
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "50ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "75ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, 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-flash", name: "DeepSeek V4 Flash", req: 3800, d: "270ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, 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, edge: true, d: "340ms" },
|
||||
{ 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",
|
||||
},
|
||||
]
|
||||
|
||||
const w = 1040
|
||||
@@ -252,6 +258,12 @@ 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="" />
|
||||
|
||||
@@ -306,7 +306,6 @@ 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>
|
||||
|
||||
@@ -139,7 +139,7 @@ export async function handler(
|
||||
if (
|
||||
authInfo &&
|
||||
opts.modelList === "lite" &&
|
||||
["deepseek-v4-flash", "deepseek-v4-pro"].includes(modelInfo.id) &&
|
||||
modelInfo.id === "deepseek-v4-flash" &&
|
||||
!allowedRegions?.includes("cn")
|
||||
)
|
||||
throw new RegionError(
|
||||
@@ -1032,14 +1032,11 @@ export async function handler(
|
||||
const { inputTokens, outputTokens, reasoningTokens, cacheReadTokens, cacheWrite5mTokens, cacheWrite1hTokens } =
|
||||
usageInfo
|
||||
|
||||
const hour = new Date().getUTCHours()
|
||||
const modelCost =
|
||||
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
|
||||
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": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -24,7 +24,6 @@ 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": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"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": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
|
||||
@@ -30,11 +30,15 @@ Guidelines:
|
||||
|
||||
Complete the user's search request efficiently and report your findings clearly.`
|
||||
|
||||
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.
|
||||
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.
|
||||
|
||||
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 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.`
|
||||
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.`
|
||||
|
||||
const PROMPT_TITLE = `You are a title generator. You output ONLY a thread title. Nothing else.
|
||||
|
||||
|
||||
@@ -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` or `~/.config/opencode/opencode.jsonc` (NOT `~/.opencode/`) |
|
||||
| Global config | `~/.config/opencode/opencode.json` (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` |
|
||||
|
||||
@@ -264,10 +264,7 @@ 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).replace(/[\uD800-\uDBFF]$/, "") + "..."
|
||||
: match.lines.text,
|
||||
text: match.lines.text.length > 2_000 ? match.lines.text.slice(0, 2_000) + "..." : match.lines.text,
|
||||
submatches: match.submatches.map((submatch) => ({
|
||||
text: submatch.match.text,
|
||||
start: submatch.start,
|
||||
|
||||
@@ -44,15 +44,6 @@ 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
|
||||
@@ -145,33 +136,36 @@ 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) break
|
||||
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
|
||||
}
|
||||
total = next
|
||||
split = index
|
||||
}
|
||||
return {
|
||||
head: conversation.slice(0, split).join("\n\n"),
|
||||
recent: conversation.slice(split).join("\n\n"),
|
||||
head: [...conversation.slice(0, split), splitPrefix].filter(Boolean).join("\n\n"),
|
||||
recent: [splitSuffix, ...conversation.slice(split)].filter(Boolean).join("\n\n"),
|
||||
}
|
||||
}
|
||||
|
||||
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${input.previousSummary}\n</prior-summary>`,
|
||||
SUMMARY_UPDATE_INSTRUCTIONS,
|
||||
export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) =>
|
||||
[
|
||||
input.previousSummary
|
||||
? `Update the anchored summary below using the conversation history above.\nPreserve still-true details, remove stale details, and merge in the new facts.\n<previous-summary>\n${input.previousSummary}\n</previous-summary>`
|
||||
: "Create a new anchored summary from the conversation history.",
|
||||
SUMMARY_TEMPLATE,
|
||||
...input.context,
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const make = (dependencies: Dependencies) => {
|
||||
const config = settings(dependencies.config)
|
||||
|
||||
@@ -12,6 +12,7 @@ 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"
|
||||
|
||||
@@ -252,6 +253,7 @@ 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) =>
|
||||
@@ -447,6 +449,7 @@ 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:
|
||||
"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.",
|
||||
"Number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction (default: 2)",
|
||||
}),
|
||||
preserve_recent_tokens: Schema.optional(NonNegativeInt).annotate({
|
||||
description: "Maximum number of tokens from recent turns to preserve verbatim after compaction",
|
||||
|
||||
@@ -1,28 +0,0 @@
|
||||
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")
|
||||
})
|
||||
@@ -27,32 +27,6 @@ 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(
|
||||
|
||||
@@ -30,56 +30,3 @@ 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")
|
||||
})
|
||||
|
||||
@@ -62,24 +62,4 @@ 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]()),
|
||||
),
|
||||
)
|
||||
})
|
||||
|
||||
@@ -4,32 +4,12 @@ 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, sql } from "drizzle-orm"
|
||||
import { asc, eq } 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"
|
||||
@@ -22,7 +22,6 @@ 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]])
|
||||
@@ -45,39 +44,6 @@ 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
|
||||
|
||||
@@ -703,6 +703,13 @@ 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)
|
||||
@@ -1128,7 +1135,7 @@ describe("SessionRunnerLLM", () => {
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
expect(userTexts(requests[0])[0]).toContain(
|
||||
"<prior-summary>\n## Objective\n- Preserve the task\n</prior-summary>",
|
||||
"<previous-summary>\n## Objective\n- Preserve the task\n</previous-summary>",
|
||||
)
|
||||
expect(userTexts(requests[0])[0]).toContain("Recent exact request")
|
||||
expect((yield* (yield* SessionStore.Service).context(sessionID))[0]).toMatchObject({
|
||||
@@ -1138,67 +1145,6 @@ 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 ${"x".repeat(4_500)} OVERSIZED_END`
|
||||
currentModel = compactModel
|
||||
requests.length = 0
|
||||
responses = [
|
||||
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
|
||||
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
|
||||
]
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: oversized }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
const summary = userTexts(requests[0])[0]
|
||||
const continuation = userTexts(requests[1])[0]
|
||||
expect(summary.match(/OVERSIZED_BOUNDARY/g)).toHaveLength(1)
|
||||
expect(summary).toContain(oversized)
|
||||
expect(continuation).not.toContain("OVERSIZED_BOUNDARY")
|
||||
expect(continuation).not.toContain("OVERSIZED_END")
|
||||
expect(continuation).toContain("<recent-context>\n\n</recent-context>")
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("forces one compaction and retries after provider context overflow", () =>
|
||||
Effect.gen(function* () {
|
||||
const session = yield* setupOverflowRecovery
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@opencode-ai/desktop",
|
||||
"private": true,
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"homepage": "https://opencode.ai",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"name": "@opencode-ai/llm",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"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": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
|
||||
@@ -1,5 +1,9 @@
|
||||
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.
|
||||
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.
|
||||
|
||||
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 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.
|
||||
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.
|
||||
|
||||
@@ -714,7 +714,6 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
|
||||
if (!flags.experimentalWorkspaces) return []
|
||||
return (yield* db
|
||||
.select()
|
||||
.from(WorkspaceTable)
|
||||
@@ -852,7 +851,6 @@ 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)
|
||||
|
||||
@@ -84,8 +84,6 @@ 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
|
||||
@@ -1774,7 +1772,6 @@ 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":
|
||||
|
||||
@@ -5,7 +5,8 @@ import { InstanceDisposed } from "@/server/event"
|
||||
import "@opencode-ai/core/account"
|
||||
import "@/server/event"
|
||||
import { Schema } from "effect"
|
||||
import { HttpApi, HttpApiEndpoint, HttpApiError, HttpApiGroup, HttpApiSchema, OpenApi } from "effect/unstable/httpapi"
|
||||
import { HttpApi, HttpApiEndpoint, HttpApiError, HttpApiGroup, OpenApi } from "effect/unstable/httpapi"
|
||||
import semver from "semver"
|
||||
import { described } from "./metadata"
|
||||
|
||||
const GlobalHealth = Schema.Struct({
|
||||
@@ -48,7 +49,9 @@ const GlobalEventSchema = Schema.Struct({
|
||||
}).annotate({ identifier: "GlobalEvent" })
|
||||
|
||||
export const GlobalUpgradeInput = Schema.Struct({
|
||||
target: Schema.optional(Schema.String),
|
||||
target: Schema.optional(
|
||||
Schema.String.check(Schema.makeFilter((value) => semver.valid(value) !== null || "Expected a semantic version")),
|
||||
),
|
||||
})
|
||||
|
||||
const GlobalUpgradeResult = Schema.Union([
|
||||
@@ -121,7 +124,7 @@ export const GlobalApi = HttpApi.make("global").add(
|
||||
}),
|
||||
),
|
||||
HttpApiEndpoint.post("upgrade", GlobalPaths.upgrade, {
|
||||
payload: [HttpApiSchema.NoContent, GlobalUpgradeInput],
|
||||
payload: GlobalUpgradeInput,
|
||||
success: described(GlobalUpgradeResult, "Upgrade result"),
|
||||
error: HttpApiError.BadRequest,
|
||||
}).annotateMerge(
|
||||
|
||||
@@ -129,6 +129,10 @@ export const globalHandlers = HttpApiBuilder.group(RootHttpApi, "global", (handl
|
||||
const upgradeRaw = Effect.fn("GlobalHttpApi.upgradeRaw")(function* (ctx: {
|
||||
request: HttpServerRequest.HttpServerRequest
|
||||
}) {
|
||||
const contentType = ctx.request.headers["content-type"]?.split(";", 1)[0].trim().toLowerCase()
|
||||
if (contentType !== "application/json") {
|
||||
return HttpServerResponse.jsonUnsafe({ success: false, error: "Expected application/json" }, { status: 415 })
|
||||
}
|
||||
const body = yield* Effect.orDie(ctx.request.text)
|
||||
const json = parseBody(body)
|
||||
if (json === undefined) {
|
||||
|
||||
@@ -29,8 +29,9 @@ 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 = 15_000
|
||||
const MAX_PRESERVE_RECENT_TOKENS = 8_000
|
||||
type Turn = {
|
||||
start: number
|
||||
end: number
|
||||
@@ -225,22 +226,27 @@ const layer = Layer.effect(
|
||||
cfg: ConfigV1.Info
|
||||
model: Provider.Model
|
||||
}) {
|
||||
const limit = input.cfg.compaction?.tail_turns
|
||||
if (limit !== undefined && limit <= 0) return { head: input.messages, tail_start_id: undefined }
|
||||
const limit = input.cfg.compaction?.tail_turns ?? DEFAULT_TAIL_TURNS
|
||||
if (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 = limit === undefined ? all : all.slice(-limit)
|
||||
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 },
|
||||
)
|
||||
|
||||
let total = 0
|
||||
let keep: Tail | undefined
|
||||
for (let i = recent.length - 1; i >= 0; i--) {
|
||||
const turn = recent[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,
|
||||
})
|
||||
const size = sizes[i]
|
||||
if (total + size <= budget) {
|
||||
total += size
|
||||
keep = { start: turn.start, id: turn.id }
|
||||
@@ -375,20 +381,10 @@ 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(),
|
||||
@@ -434,10 +430,7 @@ const layer = Layer.effect(
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
text: [nextPrompt, "The following is the conversation history:", conversation]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
},
|
||||
|
||||
@@ -40,11 +40,7 @@ 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") ||
|
||||
["kimi-for-coding", "moonshotai", "moonshotai-cn"].includes(model.providerID)
|
||||
)
|
||||
return [PROMPT_KIMI]
|
||||
if (model.api.id.toLowerCase().includes("kimi")) return [PROMPT_KIMI]
|
||||
return [PROMPT_DEFAULT]
|
||||
}
|
||||
|
||||
|
||||
@@ -56,12 +56,7 @@ 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 ||
|
||||
providerID === ProviderV2.ID.make("opencode-go") ||
|
||||
flags.exa ||
|
||||
flags.parallel
|
||||
)
|
||||
return providerID === ProviderV2.ID.opencode || flags.exa || flags.parallel
|
||||
}
|
||||
|
||||
type TaskDef = Tool.InferDef<typeof TaskTool>
|
||||
|
||||
@@ -8,7 +8,6 @@ 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"
|
||||
@@ -134,9 +133,6 @@ 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)
|
||||
@@ -421,18 +417,6 @@ 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",
|
||||
() =>
|
||||
|
||||
@@ -1548,33 +1548,6 @@ 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",
|
||||
|
||||
@@ -3370,7 +3370,6 @@ 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
|
||||
@@ -5556,25 +5555,6 @@ 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> = {}) =>
|
||||
({
|
||||
|
||||
@@ -43,9 +43,12 @@ const apiLayer = HttpRouter.serve(
|
||||
const it = testEffect(apiLayer)
|
||||
|
||||
describe("global HttpApi", () => {
|
||||
it.live("upgrades to latest when the request body is omitted", () =>
|
||||
it.live("upgrades to latest with an empty JSON payload", () =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* HttpClient.post(GlobalPaths.upgrade)
|
||||
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
|
||||
HttpClientRequest.bodyJson({}),
|
||||
Effect.flatMap(HttpClient.execute),
|
||||
)
|
||||
|
||||
expect(response.status).toBe(200)
|
||||
expect(yield* response.json).toEqual({ success: true, version: "9.9.9" })
|
||||
@@ -63,4 +66,40 @@ describe("global HttpApi", () => {
|
||||
expect(yield* response.json).toEqual({ success: false, error: "Invalid request body" })
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("rejects non-JSON upgrade payloads", () =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
|
||||
HttpClientRequest.setBody(HttpBody.text('{"target":"1.2.3"}', "text/plain")),
|
||||
HttpClient.execute,
|
||||
)
|
||||
|
||||
expect(response.status).toBe(415)
|
||||
expect(yield* response.json).toEqual({ success: false, error: "Expected application/json" })
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("rejects non-semver upgrade targets", () =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
|
||||
HttpClientRequest.bodyJson({ target: "latest" }),
|
||||
Effect.flatMap(HttpClient.execute),
|
||||
)
|
||||
|
||||
expect(response.status).toBe(400)
|
||||
expect(yield* response.json).toEqual({ success: false, error: "Invalid request body" })
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("accepts semantic version upgrade targets", () =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
|
||||
HttpClientRequest.bodyJson({ target: "1.2.3-beta.1" }),
|
||||
Effect.flatMap(HttpClient.execute),
|
||||
)
|
||||
|
||||
expect(response.status).toBe(200)
|
||||
expect(yield* response.json).toEqual({ success: true, version: "1.2.3-beta.1" })
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
@@ -365,20 +365,6 @@ 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",
|
||||
@@ -1403,21 +1389,11 @@ 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,
|
||||
config: cfg({ tail_turns: 2, preserve_recent_tokens: 10_000 }),
|
||||
}),
|
||||
)
|
||||
}).pipe(withCompaction({ llm: stub.llmLayer }))
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
@@ -1454,11 +1430,9 @@ describe("session.compaction.process", () => {
|
||||
expect(parent).toBeTruthy()
|
||||
yield* SessionCompaction.use.process({ parentID: parent!, messages: msgs, sessionID: session.id, auto: false })
|
||||
|
||||
expect(captured).toContain("<prior-summary>")
|
||||
expect(captured).toContain("<previous-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 }))
|
||||
@@ -1466,49 +1440,6 @@ 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",
|
||||
() => {
|
||||
|
||||
@@ -102,13 +102,6 @@ describe("session.system", () => {
|
||||
}
|
||||
})
|
||||
|
||||
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", () =>
|
||||
Effect.gen(function* () {
|
||||
const prompt = yield* SystemPrompt.Service
|
||||
|
||||
@@ -37,9 +37,8 @@ describe("websearch provider", () => {
|
||||
expect(selectWebSearchProvider(SESSION_ID, { exa: false, parallel: true })).toBe("parallel")
|
||||
})
|
||||
|
||||
test("is enabled for OpenCode providers or explicit websearch provider flags", () => {
|
||||
test("is only enabled for opencode 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": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -12,7 +12,6 @@
|
||||
"./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 { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
|
||||
import { toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
|
||||
import { modelAuthor, normalizeInferenceModel, statModel, statProvider } from "./model-normalization"
|
||||
|
||||
describe("inference stat normalization", () => {
|
||||
@@ -82,55 +82,6 @@ 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) {
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { Resource } from "sst/resource"
|
||||
import type { R2SqlData } from "../r2-sql"
|
||||
import type { AthenaData } from "../athena"
|
||||
import type { GeoStatAggregate } from "./geo"
|
||||
import type { ModelStatAggregate } from "./model"
|
||||
import {
|
||||
@@ -10,80 +10,25 @@ import {
|
||||
statProvider,
|
||||
} from "./model-normalization"
|
||||
import type { ProviderStatAggregate } from "./provider"
|
||||
import {
|
||||
normalizeCountry,
|
||||
normalizeTier,
|
||||
periodKeyFor,
|
||||
startOfIsoWeek,
|
||||
startOfUtcDay,
|
||||
type StatBaseAggregate,
|
||||
} from "./stat"
|
||||
import { normalizeCountry, normalizeTier, type StatBaseAggregate } from "./stat"
|
||||
|
||||
export type StatDimension = "model" | "provider" | "geo" | "geo_model"
|
||||
export type StatsQuerySource = { namespace: string; table: string; dataset: string }
|
||||
type StatsQueryFamily = "usage" | "geo"
|
||||
|
||||
const DAY_MS = 86_400_000
|
||||
const WEEK_MS = 7 * DAY_MS
|
||||
// The typed production stream began before the legacy backfill's original end
|
||||
// boundary. Use one exclusive handoff so the overlapping rows are never counted
|
||||
// from both sources.
|
||||
const LIVE_SOURCE_START = "2026-08-11T10:57:48.186Z"
|
||||
|
||||
// R2 SQL limits result sets to 10,000 rows and does not support OFFSET. Two
|
||||
// queries per day/week keep each result bounded and avoid combining the costly
|
||||
// distinct user/session aggregates with the high-cardinality geo dimensions.
|
||||
export function buildStatsQueries(periodStart: Date, periodEnd: Date, input?: StatsQuerySource) {
|
||||
const source = input ?? {
|
||||
namespace: Resource.R2Sql.namespace,
|
||||
table: Resource.R2Sql.table,
|
||||
dataset: Resource.StatsSyncConfig.dataset,
|
||||
}
|
||||
return [...statPeriods("week", periodStart, periodEnd), ...statPeriods("day", periodStart, periodEnd)].flatMap(
|
||||
(period) => [buildStatsQuery(period, source, "usage"), buildStatsQuery(period, source, "geo")],
|
||||
)
|
||||
}
|
||||
|
||||
function buildStatsQuery(
|
||||
period: { grain: "day" | "week"; key: string; start: Date; end: Date },
|
||||
source: StatsQuerySource,
|
||||
family: StatsQueryFamily,
|
||||
) {
|
||||
const periodStartValue = sqlString(period.start.toISOString())
|
||||
const periodEndValue = sqlString(period.end.toISOString())
|
||||
const ingestEndValue = sqlString(new Date(period.end.getTime() + DAY_MS).toISOString())
|
||||
const sourceTable = [source.namespace, source.table].map(sqlIdentifier).join(".")
|
||||
const dimensions =
|
||||
family === "usage"
|
||||
? `CASE WHEN grouping(model) = 0 THEN 'model' ELSE 'provider' END AS dimension,
|
||||
tier,
|
||||
provider,
|
||||
CASE WHEN grouping(model) = 0 THEN model END AS model,
|
||||
CASE WHEN grouping(model) = 0 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
|
||||
null AS country,
|
||||
null AS continent`
|
||||
: `CASE WHEN grouping(model) = 0 THEN 'geo_model' ELSE 'geo' END AS dimension,
|
||||
tier,
|
||||
CASE WHEN grouping(model) = 0 THEN provider ELSE 'all' END AS provider,
|
||||
CASE WHEN grouping(model) = 0 THEN model ELSE 'all' END AS model,
|
||||
null AS provider_model,
|
||||
country,
|
||||
COALESCE(MAX(NULLIF(continent, '')), '') AS continent`
|
||||
const distinctColumns =
|
||||
family === "usage"
|
||||
? `approx_distinct(session) AS sessions,
|
||||
approx_distinct(user_key) AS unique_users`
|
||||
: `0 AS sessions,
|
||||
0 AS unique_users`
|
||||
const groupingSets =
|
||||
family === "usage"
|
||||
? `(tier, provider, model),
|
||||
(tier, provider)`
|
||||
: `(tier, country),
|
||||
(tier, provider, model, country)`
|
||||
// All stat dimensions and both grains are computed in one query via GROUPING SETS so
|
||||
// the source table is scanned once per sync pass; separate queries per dimension (and
|
||||
// the previous weekly/daily UNION ALL) each re-scanned the same events.
|
||||
export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
|
||||
const periodStartValue = sqlString(periodStart.toISOString())
|
||||
const periodEndValue = sqlString(periodEnd.toISOString())
|
||||
const periodStartDateValue = sqlString(periodStart.toISOString().slice(0, 10))
|
||||
const periodEndDateValue = sqlString(periodEnd.toISOString().slice(0, 10))
|
||||
const sourceTable = [Resource.InferenceEvent.catalog, Resource.InferenceEvent.database, Resource.InferenceEvent.table]
|
||||
.map(sqlIdentifier)
|
||||
.join(".")
|
||||
const aggregateColumns = `
|
||||
${distinctColumns},
|
||||
COUNT(DISTINCT session) AS sessions,
|
||||
COUNT(*) AS requests,
|
||||
COUNT(DISTINCT user_key) AS unique_users,
|
||||
COALESCE(SUM(tokens_input), 0) AS input_tokens,
|
||||
COALESCE(SUM(tokens_output), 0) AS output_tokens,
|
||||
COALESCE(SUM(tokens_reasoning), 0) AS reasoning_tokens,
|
||||
@@ -93,61 +38,65 @@ function buildStatsQuery(
|
||||
COALESCE(SUM(cost_output_microcents), 0) AS output_cost_microcents,
|
||||
COALESCE(SUM(cost_total_microcents), 0) AS total_cost_microcents,
|
||||
AVG(duration_ms) AS avg_duration_ms,
|
||||
null AS p50_duration_ms,
|
||||
null AS p95_duration_ms,
|
||||
approx_percentile(CAST(duration_ms AS double), 0.5) AS p50_duration_ms,
|
||||
approx_percentile(CAST(duration_ms AS double), 0.95) AS p95_duration_ms,
|
||||
AVG(ttfb_ms) AS avg_ttfb_ms,
|
||||
null AS p50_ttfb_ms,
|
||||
null AS p95_ttfb_ms,
|
||||
approx_percentile(CAST(ttfb_ms AS double), 0.5) AS p50_ttfb_ms,
|
||||
approx_percentile(CAST(ttfb_ms AS double), 0.95) AS p95_ttfb_ms,
|
||||
AVG(output_tps) AS avg_output_tps,
|
||||
SUM(CASE WHEN outcome = 'succeeded' THEN 1 ELSE 0 END) AS success_count,
|
||||
SUM(CASE WHEN outcome = 'failed' THEN 1 ELSE 0 END) AS error_count,
|
||||
SUM(CASE WHEN status >= 200 AND status < 400 THEN 1 ELSE 0 END) AS success_count,
|
||||
SUM(CASE WHEN status >= 400 THEN 1 ELSE 0 END) AS error_count,
|
||||
COUNT(*) AS sample_count`
|
||||
|
||||
return `
|
||||
WITH normalized AS (
|
||||
SELECT
|
||||
model_requested AS raw_model,
|
||||
${statModelSql("model_requested", "route_model")} AS model,
|
||||
COALESCE(NULLIF(route_model, ''), '') AS provider_model,
|
||||
COALESCE(NULLIF(provider_id, ''), '') AS raw_provider,
|
||||
UPPER(COALESCE(NULLIF(country, ''), 'ZZ')) AS country,
|
||||
COALESCE(NULLIF(continent, ''), '') AS continent,
|
||||
session_id AS session,
|
||||
COALESCE(NULLIF(workspace_id, ''), '') AS workspace,
|
||||
COALESCE(NULLIF(service_api_key_id, ''), '') AS api_key,
|
||||
from_iso8601_timestamp(event_timestamp) AS event_time,
|
||||
model AS raw_model,
|
||||
${statModelSql("model", "provider_model")} AS model,
|
||||
COALESCE(NULLIF(provider_model, ''), '') AS provider_model,
|
||||
COALESCE(NULLIF(provider, ''), '') AS raw_provider,
|
||||
UPPER(COALESCE(NULLIF(cf_country, ''), 'ZZ')) AS country,
|
||||
COALESCE(NULLIF(cf_continent, ''), '') AS continent,
|
||||
session,
|
||||
COALESCE(NULLIF(workspace, ''), '') AS workspace,
|
||||
COALESCE(NULLIF(api_key, ''), '') AS api_key,
|
||||
COALESCE(NULLIF(user_id, ''), '') AS user_id,
|
||||
outcome,
|
||||
duration_ms,
|
||||
time_to_first_token_ms AS ttfb_ms,
|
||||
CASE
|
||||
WHEN first_token_at IS NULL OR last_token_at IS NULL THEN null
|
||||
ELSE date_part('epoch', last_token_at) - date_part('epoch', first_token_at)
|
||||
END AS output_seconds,
|
||||
status,
|
||||
duration AS duration_ms,
|
||||
time_to_first_byte AS ttfb_ms,
|
||||
timestamp_first_byte,
|
||||
timestamp_last_byte,
|
||||
tokens_input,
|
||||
tokens_output,
|
||||
tokens_reasoning,
|
||||
tokens_cache_read,
|
||||
tokens_cache_write,
|
||||
cost_input AS cost_input_microcents,
|
||||
cost_output AS cost_output_microcents,
|
||||
cost_total AS cost_total_microcents
|
||||
tokens_cache_write_5m,
|
||||
tokens_cache_write_1h,
|
||||
cost_input_microcents,
|
||||
cost_output_microcents,
|
||||
cost_total_microcents,
|
||||
cost_input,
|
||||
cost_output,
|
||||
cost_total,
|
||||
source
|
||||
FROM ${sourceTable}
|
||||
WHERE event_type = 'generation.completed'
|
||||
AND source IN ('inference', 'inference-legacy')
|
||||
AND (
|
||||
(source = 'inference-legacy' AND started_at < ${sqlString(LIVE_SOURCE_START)})
|
||||
OR (source = 'inference' AND started_at >= ${sqlString(LIVE_SOURCE_START)})
|
||||
)
|
||||
AND product = 'go'
|
||||
AND model_requested IS NOT NULL
|
||||
AND model_requested <> ''
|
||||
AND __ingest_ts >= ${periodStartValue}
|
||||
AND __ingest_ts < ${ingestEndValue}
|
||||
AND started_at >= ${periodStartValue}
|
||||
AND started_at < ${periodEndValue}
|
||||
WHERE event_type = 'completions'
|
||||
AND model IS NOT NULL
|
||||
AND model <> ''
|
||||
AND source = 'lite'
|
||||
AND event_date >= ${periodStartDateValue}
|
||||
AND event_date <= ${periodEndDateValue}
|
||||
AND event_timestamp >= ${periodStartValue}
|
||||
AND event_timestamp < ${periodEndValue}
|
||||
), filtered AS (
|
||||
SELECT
|
||||
'Go' AS tier,
|
||||
event_time,
|
||||
CASE
|
||||
WHEN source = 'lite' THEN 'Go'
|
||||
WHEN raw_model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR regexp_like(raw_model, '-free(:global)?$') THEN 'Free'
|
||||
ELSE 'Paid'
|
||||
END AS tier,
|
||||
${statProviderSql("model", "provider_model", "raw_provider")} AS provider,
|
||||
provider_model,
|
||||
model,
|
||||
@@ -155,39 +104,63 @@ WITH normalized AS (
|
||||
continent,
|
||||
session,
|
||||
COALESCE(NULLIF(user_id, ''), NULLIF(workspace, ''), NULLIF(api_key, '')) AS user_key,
|
||||
outcome,
|
||||
status,
|
||||
duration_ms,
|
||||
ttfb_ms,
|
||||
CASE
|
||||
WHEN output_seconds < 0.1 THEN null
|
||||
ELSE CAST(tokens_output AS double) / output_seconds
|
||||
WHEN timestamp_last_byte - timestamp_first_byte < 100 THEN null
|
||||
ELSE CAST(tokens_output AS double) / (timestamp_last_byte - timestamp_first_byte) * 1000
|
||||
END AS output_tps,
|
||||
tokens_input,
|
||||
tokens_output,
|
||||
tokens_reasoning,
|
||||
tokens_cache_read,
|
||||
COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
|
||||
cost_input_microcents,
|
||||
cost_output_microcents,
|
||||
cost_total_microcents
|
||||
COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write_5m, 0) + COALESCE(tokens_cache_write_1h, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
|
||||
COALESCE(cost_input_microcents, cost_input * 1000000) AS cost_input_microcents,
|
||||
COALESCE(cost_output_microcents, cost_output * 1000000) AS cost_output_microcents,
|
||||
COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents
|
||||
FROM normalized
|
||||
WHERE lower(model) NOT IN (${[...EXCLUDED_MODELS].map(sqlString).join(", ")})
|
||||
), periods AS (
|
||||
SELECT
|
||||
concat(CAST(year_of_week(event_time) AS varchar), '-W', lpad(CAST(week(event_time) AS varchar), 2, '0')) AS week_key,
|
||||
substr(to_iso8601(date_trunc('day', event_time)), 1, 10) AS day_key,
|
||||
*
|
||||
FROM filtered
|
||||
)
|
||||
SELECT
|
||||
${sqlString(period.grain)} AS grain,
|
||||
${sqlString(period.key)} AS period_key,
|
||||
${sqlString(source.dataset)} AS dataset,
|
||||
${dimensions},
|
||||
CASE WHEN grouping(week_key) = 0 THEN 'week' ELSE 'day' END AS grain,
|
||||
COALESCE(week_key, day_key) AS period_key,
|
||||
${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset,
|
||||
CASE
|
||||
WHEN grouping(country) = 0 AND grouping(model) = 0 THEN 'geo_model'
|
||||
WHEN grouping(country) = 0 THEN 'geo'
|
||||
WHEN grouping(model) = 0 THEN 'model'
|
||||
ELSE 'provider'
|
||||
END AS dimension,
|
||||
tier,
|
||||
CASE WHEN grouping(provider) = 0 THEN provider ELSE 'all' END AS provider,
|
||||
CASE WHEN grouping(model) = 0 THEN model WHEN grouping(country) = 0 THEN 'all' END AS model,
|
||||
CASE WHEN grouping(model) = 0 AND grouping(country) = 1 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
|
||||
CASE WHEN grouping(country) = 0 THEN country END AS country,
|
||||
CASE WHEN grouping(country) = 0 THEN COALESCE(MAX(NULLIF(continent, '')), '') END AS continent,
|
||||
${aggregateColumns}
|
||||
FROM filtered
|
||||
FROM periods
|
||||
GROUP BY GROUPING SETS (
|
||||
${groupingSets}
|
||||
(week_key, tier, provider, model),
|
||||
(week_key, tier, provider),
|
||||
(week_key, tier, country),
|
||||
(week_key, tier, provider, model, country),
|
||||
(day_key, tier, provider, model),
|
||||
(day_key, tier, provider),
|
||||
(day_key, tier, country),
|
||||
(day_key, tier, provider, model, country)
|
||||
)
|
||||
LIMIT 10000
|
||||
ORDER BY grain, period_key, total_tokens DESC
|
||||
`
|
||||
}
|
||||
|
||||
export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
|
||||
export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
|
||||
const model = statModel(data.model, data.provider_model)
|
||||
const provider = statProvider(model, data.provider_model, data.provider)
|
||||
if (!provider) return []
|
||||
@@ -197,13 +170,13 @@ export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
|
||||
])
|
||||
}
|
||||
|
||||
export function toProviderAggregate(data: R2SqlData): ProviderStatAggregate[] {
|
||||
export function toProviderAggregate(data: AthenaData): ProviderStatAggregate[] {
|
||||
return toStatBaseAggregate(data).flatMap((base) => [
|
||||
{ ...base, provider: statProvider(data.model, data.provider_model, data.provider) || "unknown" },
|
||||
])
|
||||
}
|
||||
|
||||
export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
|
||||
export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
|
||||
return toStatBaseAggregate(data).flatMap((base) => [
|
||||
{
|
||||
...base,
|
||||
@@ -215,7 +188,7 @@ export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
|
||||
])
|
||||
}
|
||||
|
||||
function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
|
||||
function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
|
||||
const grain = data.grain === "day" || data.grain === "week" ? data.grain : undefined
|
||||
if (!grain || !data.period_key) return []
|
||||
|
||||
@@ -250,21 +223,21 @@ function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
|
||||
]
|
||||
}
|
||||
|
||||
function integer(data: R2SqlData, key: string) {
|
||||
function integer(data: AthenaData, key: string) {
|
||||
return Math.round(number(data, key))
|
||||
}
|
||||
|
||||
function nullableNumber(data: R2SqlData, key: string) {
|
||||
function nullableNumber(data: AthenaData, key: string) {
|
||||
if (data[key] === undefined || data[key] === "") return null
|
||||
return Number(number(data, key).toFixed(2))
|
||||
}
|
||||
|
||||
function nullableInteger(data: R2SqlData, key: string) {
|
||||
function nullableInteger(data: AthenaData, key: string) {
|
||||
if (data[key] === undefined || data[key] === "") return null
|
||||
return Math.round(number(data, key))
|
||||
}
|
||||
|
||||
function number(data: R2SqlData, key: string) {
|
||||
function number(data: AthenaData, key: string) {
|
||||
const value = Number(data[key])
|
||||
return Number.isFinite(value) ? value : 0
|
||||
}
|
||||
@@ -277,21 +250,6 @@ function sqlString(value: string) {
|
||||
return `'${value.replace(/'/g, "''")}'`
|
||||
}
|
||||
|
||||
function statPeriods(grain: "day" | "week", periodStart: Date, periodEnd: Date) {
|
||||
const interval = grain === "day" ? DAY_MS : WEEK_MS
|
||||
const first = grain === "day" ? startOfUtcDay(periodStart) : startOfIsoWeek(periodStart)
|
||||
const count = Math.max(0, Math.ceil((periodEnd.getTime() - first.getTime()) / interval))
|
||||
return Array.from({ length: count }, (_, index) => {
|
||||
const start = new Date(first.getTime() + index * interval)
|
||||
return {
|
||||
grain,
|
||||
key: periodKeyFor(grain, start),
|
||||
start,
|
||||
end: new Date(Math.min(start.getTime() + interval, periodEnd.getTime())),
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
function statModelSql(model: string, providerModel: string) {
|
||||
return `COALESCE(NULLIF(regexp_replace(CASE
|
||||
WHEN lower(${model}) = 'big-pickle' THEN NULLIF(${providerModel}, '')
|
||||
|
||||
@@ -1,105 +0,0 @@
|
||||
import { Context, Effect, Layer, Schema } from "effect"
|
||||
import { Resource } from "sst/resource"
|
||||
|
||||
const R2_SQL_MAX_ROWS = 10_000
|
||||
const R2SqlValue = Schema.Union([Schema.String, Schema.Number, Schema.Boolean, Schema.Null])
|
||||
const R2SqlResponse = Schema.Struct({
|
||||
success: Schema.Boolean,
|
||||
result: Schema.optional(
|
||||
Schema.NullOr(
|
||||
Schema.Struct({
|
||||
request_id: Schema.String,
|
||||
rows: Schema.Array(Schema.Record(Schema.String, R2SqlValue)),
|
||||
}),
|
||||
),
|
||||
),
|
||||
errors: Schema.Array(Schema.Unknown),
|
||||
})
|
||||
const decodeResponse = Schema.decodeUnknownEffect(Schema.fromJsonString(R2SqlResponse))
|
||||
|
||||
export type R2SqlData = Record<string, string>
|
||||
|
||||
export class R2SqlQueryError extends Error {
|
||||
readonly _tag = "R2SqlQueryError"
|
||||
readonly requestId?: string
|
||||
readonly status?: number
|
||||
|
||||
constructor(input: { message: string; requestId?: string; status?: number; cause?: unknown }) {
|
||||
super(input.message, { cause: input.cause })
|
||||
this.name = "R2SqlQueryError"
|
||||
this.requestId = input.requestId
|
||||
this.status = input.status
|
||||
}
|
||||
}
|
||||
|
||||
export declare namespace R2Sql {
|
||||
export interface Service {
|
||||
readonly query: (query: string) => Effect.Effect<R2SqlData[], R2SqlQueryError>
|
||||
}
|
||||
}
|
||||
|
||||
export class R2Sql extends Context.Service<R2Sql, R2Sql.Service>()("@opencode/stats/R2Sql") {
|
||||
static readonly layer: Layer.Layer<R2Sql> = Layer.succeed(
|
||||
R2Sql,
|
||||
R2Sql.of({
|
||||
query: Effect.fn("R2Sql.query")(function* (query: string) {
|
||||
const response = yield* Effect.tryPromise({
|
||||
try: () =>
|
||||
Bun.fetch(
|
||||
`https://api.sql.cloudflarestorage.com/api/v1/accounts/${Resource.R2Sql.accountId}/r2-sql/query/${Resource.R2Sql.bucket}`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
Authorization: `Bearer ${Resource.R2SqlAuthToken.value}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({ query }),
|
||||
},
|
||||
),
|
||||
catch: (cause) => new R2SqlQueryError({ message: "Failed to run R2 SQL stats query", cause }),
|
||||
})
|
||||
const body = yield* Effect.tryPromise({
|
||||
try: () => response.text(),
|
||||
catch: (cause) =>
|
||||
new R2SqlQueryError({ message: "Failed to read R2 SQL stats response", status: response.status, cause }),
|
||||
})
|
||||
const decoded = yield* decodeResponse(body).pipe(
|
||||
Effect.mapError(
|
||||
(cause) =>
|
||||
new R2SqlQueryError({
|
||||
message: "R2 SQL returned an invalid stats response",
|
||||
status: response.status,
|
||||
cause,
|
||||
}),
|
||||
),
|
||||
)
|
||||
if (!response.ok || !decoded.success || !decoded.result)
|
||||
return yield* Effect.fail(
|
||||
new R2SqlQueryError({
|
||||
message: `R2 SQL stats query failed: ${JSON.stringify(decoded.errors)}`,
|
||||
requestId: decoded.result?.request_id,
|
||||
status: response.status,
|
||||
}),
|
||||
)
|
||||
|
||||
// R2 SQL has no OFFSET support and caps LIMIT at 10,000. Each stats
|
||||
// query is scoped to one day or week, and reaching the cap is treated as
|
||||
// an error so a newly high-cardinality period can never be truncated.
|
||||
if (decoded.result.rows.length >= R2_SQL_MAX_ROWS)
|
||||
return yield* Effect.fail(
|
||||
new R2SqlQueryError({
|
||||
message: `R2 SQL stats query reached the ${R2_SQL_MAX_ROWS} row limit`,
|
||||
requestId: decoded.result.request_id,
|
||||
status: response.status,
|
||||
}),
|
||||
)
|
||||
|
||||
return decoded.result.rows.map((row) =>
|
||||
Object.fromEntries(
|
||||
Object.entries(row).flatMap(([key, value]) => (value === null ? [] : [[key, String(value)]])),
|
||||
),
|
||||
)
|
||||
}),
|
||||
}),
|
||||
)
|
||||
}
|
||||
-11
@@ -11,17 +11,6 @@ declare module "sst/resource" {
|
||||
type: "sst.sst.Linkable"
|
||||
workgroup: string
|
||||
}
|
||||
R2Sql: {
|
||||
accountId: string
|
||||
bucket: string
|
||||
namespace: string
|
||||
table: string
|
||||
type: "sst.sst.Linkable"
|
||||
}
|
||||
R2SqlAuthToken: {
|
||||
type: "sst.sst.Secret"
|
||||
value: string
|
||||
}
|
||||
StatsSyncConfig: {
|
||||
dataset: string
|
||||
type: "sst.sst.Linkable"
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
import { DateTime, Effect } from "effect"
|
||||
import { Resource } from "sst/resource"
|
||||
import { Athena, AthenaQueryError, AthenaQueryTimeoutError } from "./athena"
|
||||
import { DatabaseError } from "./database"
|
||||
import { GeoStatRepo, rowsFromAggregates as geoRowsFromAggregates } from "./domain/geo"
|
||||
import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
|
||||
import { buildStatsQuery, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
|
||||
import { ModelStatRepo, rowsFromAggregates as modelRowsFromAggregates } from "./domain/model"
|
||||
import { ProviderStatRepo, rowsFromAggregates as providerRowsFromAggregates } from "./domain/provider"
|
||||
import { startOfIsoWeek } from "./domain/stat"
|
||||
import { R2Sql, R2SqlQueryError } from "./r2-sql"
|
||||
|
||||
const DATALAKE_INGESTION_LAG_MS = 5 * 60_000
|
||||
const STATS_DATA_START_MS = new Date("2026-05-28T00:00:00.000Z").getTime()
|
||||
@@ -18,25 +18,23 @@ const DISPLAY_WINDOW_MS = 56 * 86_400_000
|
||||
const INCREMENTAL_LOOKBACK_MS = 2 * 3_600_000
|
||||
|
||||
export type SyncStatsResult = { ok: true; rows: number; startedAt: string; periodStart: string; periodEnd: string }
|
||||
export type SyncStatsError = R2SqlQueryError | DatabaseError
|
||||
export type SyncStatsError = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError
|
||||
|
||||
export const syncStats: (options?: {
|
||||
full?: boolean
|
||||
}) => Effect.Effect<SyncStatsResult, SyncStatsError, R2Sql | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
|
||||
}) => Effect.Effect<SyncStatsResult, SyncStatsError, Athena | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
|
||||
Effect.fn("StatSync.sync")(function* (options?: { full?: boolean }) {
|
||||
const startedAt = yield* DateTime.nowAsDate
|
||||
const periodEnd = new Date(Math.floor((startedAt.getTime() - DATALAKE_INGESTION_LAG_MS) / 60_000) * 60_000)
|
||||
const periodStart = options?.full ? fullPeriodStart(periodEnd) : incrementalPeriodStart(periodEnd)
|
||||
const r2Sql = yield* R2Sql
|
||||
const athena = yield* Athena
|
||||
const modelStats = yield* ModelStatRepo
|
||||
const providerStats = yield* ProviderStatRepo
|
||||
const geoStats = yield* GeoStatRepo
|
||||
|
||||
yield* logRuntimeCheck()
|
||||
|
||||
const rows = yield* Effect.forEach(buildStatsQueries(periodStart, periodEnd), r2Sql.query, {
|
||||
concurrency: 4,
|
||||
}).pipe(Effect.map((batches) => batches.flat()))
|
||||
const rows = yield* athena.query(buildStatsQuery(periodStart, periodEnd))
|
||||
const modelRows = modelRowsFromAggregates(rows.filter((row) => row.dimension === "model").flatMap(toModelAggregate))
|
||||
const providerRows = providerRowsFromAggregates(
|
||||
rows.filter((row) => row.dimension === "provider").flatMap(toProviderAggregate),
|
||||
@@ -79,7 +77,7 @@ export const syncStats: (options?: {
|
||||
}
|
||||
})
|
||||
|
||||
// May 27 was partial, so keep stats anchored at the first complete day.
|
||||
// May 27 was partial, so keep Athena stats anchored at the first complete day.
|
||||
function fullPeriodStart(periodEnd: Date) {
|
||||
return new Date(
|
||||
Math.max(
|
||||
@@ -101,12 +99,13 @@ function incrementalPeriodStart(periodEnd: Date) {
|
||||
|
||||
function logRuntimeCheck() {
|
||||
return Effect.logInfo(
|
||||
`r2 sql stats runtime check ${JSON.stringify({
|
||||
accountId: Resource.R2Sql.accountId,
|
||||
bucket: Resource.R2Sql.bucket,
|
||||
`athena stats runtime check ${JSON.stringify({
|
||||
catalog: Resource.InferenceEvent.catalog,
|
||||
database: Resource.InferenceEvent.database,
|
||||
dataset: Resource.StatsSyncConfig.dataset,
|
||||
namespace: Resource.R2Sql.namespace,
|
||||
table: Resource.R2Sql.table,
|
||||
table: Resource.InferenceEvent.table,
|
||||
workgroup: Resource.InferenceEvent.workgroup,
|
||||
region: Resource.InferenceEvent.region,
|
||||
stage: Resource.App.stage,
|
||||
})}`,
|
||||
)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import * as NodeRuntime from "@effect/platform-node/NodeRuntime"
|
||||
import { Athena } from "@opencode-ai/stats-core/athena"
|
||||
import { ModelStatRepo } from "@opencode-ai/stats-core/domain/model"
|
||||
import { R2Sql } from "@opencode-ai/stats-core/r2-sql"
|
||||
import { layer as statsLayer } from "@opencode-ai/stats-core/runtime"
|
||||
import { syncStats } from "@opencode-ai/stats-core/stat-sync"
|
||||
import { Cause, Duration, Effect, Layer, Schedule } from "effect"
|
||||
@@ -8,7 +8,7 @@ import { Cause, Duration, Effect, Layer, Schedule } from "effect"
|
||||
const SYNC_INTERVAL = "1 hour"
|
||||
const SYNC_INTERVAL_MS = 3_600_000
|
||||
|
||||
const runtimeLayer = Layer.mergeAll(statsLayer, R2Sql.layer)
|
||||
const runtimeLayer = Layer.mergeAll(statsLayer, Athena.layer)
|
||||
|
||||
const daemon = Effect.gen(function* () {
|
||||
yield* Effect.logInfo("stats sync daemon started")
|
||||
@@ -40,9 +40,9 @@ const daemon = Effect.gen(function* () {
|
||||
yield* pass.pipe(Effect.repeat(Schedule.fixed(SYNC_INTERVAL)))
|
||||
}).pipe(Effect.forkScoped)
|
||||
|
||||
// A restarted daemon must not immediately re-run the R2 SQL pass; resume the
|
||||
// hourly cadence from the last completed sync instead. This caps the query spend
|
||||
// of a crash loop at one pass per interval.
|
||||
// A restarted daemon must not immediately re-run the expensive Athena pass; resume
|
||||
// the hourly cadence from the last completed sync instead. This caps the Athena
|
||||
// spend of a crash loop at one pass per interval.
|
||||
const initialDelay = Effect.fnUntraced(function* () {
|
||||
const modelStats = yield* ModelStatRepo
|
||||
const lastSynced = yield* modelStats.lastSyncedAt().pipe(Effect.catchCause(() => Effect.succeed(null)))
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"repository": {
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "@opencode-ai/web",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.16",
|
||||
"scripts": {
|
||||
"dev": "astro dev",
|
||||
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
|
||||
|
||||
@@ -50,7 +50,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
تشمل قائمة النماذج الحالية:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -81,7 +80,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
- **الحد الأسبوعي** — استخدام بقيمة $30
|
||||
- **الحد الشهري** — استخدام بقيمة $60
|
||||
|
||||
تُحدَّد الحدود بالقيمة بالدولار. وهذا يعني أن عدد طلباتك الفعلي يعتمد على النموذج الذي تستخدمه. تتيح النماذج الأقل تكلفة مثل MiMo-V2.5 عددًا أكبر من الطلبات، بينما تتيح النماذج الأعلى تكلفة مثل GLM-5.2 عددًا أقل.
|
||||
تُحدَّد الحدود بالقيمة بالدولار. وهذا يعني أن عدد طلباتك الفعلي يعتمد على النموذج الذي تستخدمه. تتيح النماذج الأقل تكلفة مثل DeepSeek V4 Flash عددًا أكبر من الطلبات، بينما تتيح النماذج الأعلى تكلفة مثل GLM-5.2 عددًا أقل.
|
||||
|
||||
يوضح الجدول أدناه عددًا تقديريًا للطلبات بناءً على أنماط استخدام Go المعتادة:
|
||||
|
||||
@@ -89,7 +88,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| ----------------- | ------------------- | ------------------ | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -103,19 +101,19 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
تستند التقديرات إلى أنماط الطلبات المرصودة:
|
||||
|
||||
- Grok 4.5 — 1,100 input، و71,500 cached، و220 output tokens لكل طلب
|
||||
- GLM-5.3/5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
|
||||
- GLM-5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
|
||||
- GPT 5.6 Luna — 1,000 توكن إدخال، و50,000 توكن مخزّن مؤقتًا، و220 توكن إخراج لكل طلب
|
||||
- Kimi K3 — 1,050 input، و76,500 cached، و300 output tokens لكل طلب
|
||||
- Kimi K2.7/K2.6 — 870 input، و55,000 cached، و200 output tokens لكل طلب
|
||||
- DeepSeek V4 Pro — 750 input، و82,000 cached، و290 output tokens لكل طلب
|
||||
- DeepSeek V4 Flash — 410 input، و71,300 cached، و310 output tokens لكل طلب
|
||||
- DeepSeek V4 Flash — 790 input، و68,000 cached، و280 output tokens لكل طلب
|
||||
- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
|
||||
- MiniMax M2.7 — 300 input، و55,000 cached، و125 output tokens لكل طلب
|
||||
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
@@ -133,7 +131,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -150,14 +147,10 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $15 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** ساعات Peak هي 01:00-04:00 و06:00-10:00 UTC؛ وجميع الساعات الأخرى Off-Peak. [اعرف المزيد](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
يمكنك تتبّع استخدامك الحالي في **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -192,9 +185,8 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------- | ------------------ |
|
||||
| Grok 4.5 | غير مستخدَمة | 30 يومًا |
|
||||
| GPT 5.6 Luna | غير مستخدَمة | 30 يومًا |
|
||||
| GLM-5.3 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.2 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.1 | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K3 | غير مستخدَمة | 0 أيام |
|
||||
|
||||
@@ -85,16 +85,13 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -115,6 +112,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -144,6 +142,7 @@ https://opencode.ai/zen/v1/models
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -160,10 +159,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -175,19 +172,15 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -214,8 +207,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** ساعات Peak هي 01:00-04:00 و06:00-10:00 UTC؛ وجميع الساعات الأخرى Off-Peak. [اعرف المزيد](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
قد تلاحظ [نماذج منخفضة التكلفة](/docs/config/#models)، مثل Haiku أو Nano أو Flash، في سجل الاستخدام. يستخدم OpenCode هذه النماذج لإنشاء عناوين الجلسات.
|
||||
|
||||
:::note
|
||||
@@ -228,6 +219,7 @@ https://opencode.ai/zen/v1/models
|
||||
- MiMo-V2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Hy3 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Laguna S 2.1 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Ling-3.0-tiny Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3.5 Lightning Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Big Pickle نموذج خفي ومتاح مجانا على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
@@ -286,6 +278,7 @@ https://opencode.ai/zen/v1/models
|
||||
- MiMo-V2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Hy3 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Laguna S 2.1 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Ling-3.0-tiny Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
|
||||
@@ -60,7 +60,6 @@ Samo jedan član po radnom prostoru (workspace) može se pretplatiti na OpenCode
|
||||
Trenutna lista modela uključuje:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go uključuje sljedeća ograničenja:
|
||||
- **Sedmično ograničenje** — $30 potrošnje
|
||||
- **Mjesečno ograničenje** — $60 potrošnje
|
||||
|
||||
Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni broj zahtjeva zavisi od modela koji koristite. Jeftiniji modeli poput MiMo-V2.5 omogućavaju više zahtjeva, dok skuplji modeli poput GLM-5.2 omogućavaju manje.
|
||||
Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni broj zahtjeva zavisi od modela koji koristite. Jeftiniji modeli poput DeepSeek V4 Flash omogućavaju više zahtjeva, dok skuplji modeli poput GLM-5.2 omogućavaju manje.
|
||||
|
||||
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| ----------------- | ------------------ | ----------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Procjene se zasnivaju na zapaženim obrascima zahtjeva:
|
||||
|
||||
- Grok 4.5 — 1,100 ulaznih, 71,500 keširanih, 220 izlaznih tokena po zahtjevu
|
||||
- GLM-5.3/5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
|
||||
- GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
|
||||
- GPT 5.6 Luna — 1,000 ulaznih, 50,000 keširanih, 220 izlaznih tokena po zahtjevu
|
||||
- Kimi K3 — 1,050 ulaznih, 76,500 keširanih, 300 izlaznih tokena po zahtjevu
|
||||
- Kimi K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Flash — 410 ulaznih, 71,300 keširanih, 310 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
|
||||
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
|
||||
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
@@ -143,7 +141,6 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $15 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak sati su 01:00-04:00 i 06:00-10:00 UTC; svi ostali sati su Off-Peak. [Saznajte više](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Svoju trenutnu potrošnju možete pratiti u **<a href={console}>konzoli</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -204,9 +197,8 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Paket |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ----------------- | -------------------- |
|
||||
| Grok 4.5 | Ne koristi se | 30 dana |
|
||||
| GPT 5.6 Luna | Ne koristi se | 30 dana |
|
||||
| GLM-5.3 | Ne koristi se | 0 dana |
|
||||
| GLM-5.2 | Ne koristi se | 0 dana |
|
||||
| GLM-5.1 | Ne koristi se | 0 dana |
|
||||
| Kimi K3 | Ne koristi se | 0 dana |
|
||||
|
||||
@@ -90,16 +90,13 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -120,6 +117,7 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -151,6 +149,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -167,10 +166,8 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,19 +179,15 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +214,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak sati su 01:00-04:00 i 06:00-10:00 UTC; svi ostali sati su Off-Peak. [Saznajte više](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
U historiji korištenja možete primijetiti [jeftinije modele](/docs/config/#models), kao što su Haiku, Nano ili Flash. OpenCode koristi ove modele za generisanje naslova sesija.
|
||||
|
||||
:::note
|
||||
@@ -235,6 +226,7 @@ Besplatni modeli:
|
||||
- MiMo-V2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Hy3 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Laguna S 2.1 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Ling-3.0-tiny Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3 Ultra Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3.5 Lightning Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Big Pickle je stealth model koji je besplatan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
@@ -298,6 +290,7 @@ i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
|
||||
- MiMo-V2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Hy3 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Laguna S 2.1 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Ling-3.0-tiny Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Nemotron 3 Ultra Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
|
||||
@@ -60,7 +60,6 @@ Kun ét medlem per arbejdsområde kan abonnere på OpenCode Go.
|
||||
Den nuværende liste over modeller inkluderer:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go inkluderer følgende grænser:
|
||||
- **Ugentlig grænse** — forbrug for $30
|
||||
- **Månedlig grænse** — forbrug for $60
|
||||
|
||||
Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmodninger afhænger af den model, du bruger. Billigere modeller som MiMo-V2.5 tillader flere anmodninger, mens dyrere modeller som GLM-5.2 tillader færre.
|
||||
Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmodninger afhænger af den model, du bruger. Billigere modeller som DeepSeek V4 Flash tillader flere anmodninger, mens dyrere modeller som GLM-5.2 tillader færre.
|
||||
|
||||
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| ----------------- | ----------------------- | ------------------- | --------------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Estimaterne er baseret på observerede anmodningsmønstre:
|
||||
|
||||
- Grok 4.5 — 1.100 input, 71.500 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- GLM-5.3/5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- GLM-5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- GPT 5.6 Luna — 1.000 input, 50.000 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- Kimi K3 — 1.050 input, 76.500 cachelagrede, 300 output-tokens pr. anmodning
|
||||
- Kimi K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 410 input, 71.300 cachelagrede, 310 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
|
||||
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
|
||||
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
@@ -143,7 +141,6 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $15 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tiderne er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Læs mere](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kan spore dit nuværende forbrug i **<a href={console}>konsollen</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -204,9 +197,8 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------ | -------------- |
|
||||
| Grok 4.5 | Ikke brugt | 30 dage |
|
||||
| GPT 5.6 Luna | Ikke brugt | 30 dage |
|
||||
| GLM-5.3 | Ikke brugt | 0 dage |
|
||||
| GLM-5.2 | Ikke brugt | 0 dage |
|
||||
| GLM-5.1 | Ikke brugt | 0 dage |
|
||||
| Kimi K3 | Ikke brugt | 0 dage |
|
||||
|
||||
@@ -90,16 +90,13 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -120,6 +117,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -151,6 +149,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -167,10 +166,8 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,19 +179,15 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +214,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tiderne er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Læs mere](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du vil måske bemærke [lavprismodeller](/docs/config/#models), såsom Haiku, Nano eller Flash, i din brugshistorik. OpenCode bruger disse modeller til at generere sessionstitler.
|
||||
|
||||
:::note
|
||||
@@ -235,6 +226,7 @@ De gratis modeller:
|
||||
- MiMo-V2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Hy3 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Laguna S 2.1 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Ling-3.0-tiny Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3 Ultra Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3.5 Lightning Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Big Pickle er en stealth-model, som er gratis på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
@@ -296,6 +288,7 @@ Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspoliti
|
||||
- MiMo-V2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Hy3 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Laguna S 2.1 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Ling-3.0-tiny Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Nemotron 3 Ultra Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
|
||||
@@ -52,7 +52,6 @@ Nur ein Mitglied pro Workspace kann OpenCode Go abonnieren.
|
||||
Die aktuelle Liste der Modelle umfasst:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -83,7 +82,7 @@ OpenCode Go beinhaltet die folgenden Limits:
|
||||
- **Wöchentliches Limit** — 30 $ Nutzung
|
||||
- **Monatliches Limit** — 60 $ Nutzung
|
||||
|
||||
Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anzahl deiner Anfragen von dem von dir genutzten Modell abhängt. Günstigere Modelle wie MiMo-V2.5 erlauben mehr Anfragen, während teurere Modelle wie GLM-5.2 weniger erlauben.
|
||||
Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anzahl deiner Anfragen von dem von dir genutzten Modell abhängt. Günstigere Modelle wie DeepSeek V4 Flash erlauben mehr Anfragen, während teurere Modelle wie GLM-5.2 weniger erlauben.
|
||||
|
||||
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
|
||||
|
||||
@@ -91,7 +90,6 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| ----------------- | ---------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -105,19 +103,19 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Die Schätzungen basieren auf beobachteten Anfragemustern:
|
||||
|
||||
- Grok 4.5 — 1.100 Input-, 71.500 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- GLM-5.3/5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- GLM-5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- GPT 5.6 Luna — 1.000 Input-, 50.000 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- Kimi K3 — 1.050 Input-, 76.500 Cached-, 300 Output-Tokens pro Anfrage
|
||||
- Kimi K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 410 Input-, 71.300 Cached-, 310 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
|
||||
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
|
||||
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
@@ -135,7 +133,6 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -152,14 +149,10 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $15 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Die Peak-Zeiten sind 01:00-04:00 und 06:00-10:00 UTC; alle anderen Zeiten sind Off-Peak. [Mehr erfahren](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kannst deine aktuelle Nutzung in der **<a href={console}>Console</a>** verfolgen.
|
||||
|
||||
:::tip
|
||||
@@ -194,9 +187,8 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
|
||||
| Modell | Modell-ID | Endpunkt | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -235,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | --------------- | ----------------- |
|
||||
| Grok 4.5 | Nicht verwendet | 30 Tage |
|
||||
| GPT 5.6 Luna | Nicht verwendet | 30 Tage |
|
||||
| GLM-5.3 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.2 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.1 | Nicht verwendet | 0 Tage |
|
||||
| Kimi K3 | Nicht verwendet | 0 Tage |
|
||||
|
||||
@@ -81,16 +81,13 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -111,6 +108,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -140,6 +138,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -156,10 +155,8 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -171,19 +168,15 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -210,8 +203,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Die Peak-Zeiten sind 01:00-04:00 und 06:00-10:00 UTC; alle anderen Zeiten sind Off-Peak. [Mehr erfahren](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Möglicherweise siehst du [kostengünstige Modelle](/docs/config/#models) wie Haiku, Nano oder Flash in deinem Nutzungsverlauf. OpenCode verwendet diese Modelle, um Session-Titel zu generieren.
|
||||
|
||||
:::note
|
||||
@@ -224,6 +215,7 @@ Die kostenlosen Modelle:
|
||||
- MiMo-V2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Hy3 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Laguna S 2.1 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Ling-3.0-tiny Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3 Ultra Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3.5 Lightning Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Big Pickle ist ein Stealth-Modell, das für begrenzte Zeit kostenlos auf OpenCode verfügbar ist. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
@@ -282,6 +274,7 @@ Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zer
|
||||
- MiMo-V2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Hy3 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Laguna S 2.1 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Ling-3.0-tiny Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Nemotron 3 Ultra Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
- Nemotron 3.5 Lightning Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
- OpenAI APIs: Anfragen werden in Übereinstimmung mit [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 30 Tage lang gespeichert.
|
||||
|
||||
@@ -17,7 +17,7 @@ You can also check out [awesome-opencode](https://github.com/awesome-opencode/aw
|
||||
|
||||
| Name | Description |
|
||||
| -------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
|
||||
| [opencode-daytona](https://github.com/daytona/integrations/tree/main/packages/opencode-plugin) | Automatically run OpenCode sessions in isolated Daytona sandboxes with git sync and live previews |
|
||||
| [opencode-daytona](https://github.com/daytonaio/daytona/tree/main/libs/opencode-plugin) | Automatically run OpenCode sessions in isolated Daytona sandboxes with git sync and live previews |
|
||||
| [opencode-helicone-session](https://github.com/H2Shami/opencode-helicone-session) | Automatically inject Helicone session headers for request grouping |
|
||||
| [opencode-type-inject](https://github.com/nick-vi/opencode-type-inject) | Auto-inject TypeScript/Svelte types into file reads with lookup tools |
|
||||
| [opencode-openai-codex-auth](https://github.com/numman-ali/opencode-openai-codex-auth) | Use your ChatGPT Plus/Pro subscription instead of API credits |
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user