fix(console): require 3DS for Go card checkout

Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>

.github/TEAM_MEMBERS

@@ -10,6 +10,7 @@ kitlangton
 kommander
 ludvigrask
 MrMushrooooom
+neriousy
 nexxeln
 R44VC0RP
 rekram1-node

.github/workflows/deploy.yml

@@ -35,6 +35,7 @@ jobs:
 
       - run: bun sst deploy --stage=${{ github.ref_name }}
         env:
+          GITHUB_TOKEN: ${{ github.token }}
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
           PLANETSCALE_SERVICE_TOKEN_NAME: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_NAME }}
           PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}

.opencode/tool/github-triage.ts

@@ -4,7 +4,7 @@ import { tool } from "@opencode-ai/plugin"
 const TEAM = {
   tui: ["kommander", "simonklee"],
   desktop_web: ["Hona", "Brendonovich"],
-  core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton"],
+  core: ["jlongster", "rekram1-node", "neriousy", "nexxeln", "kitlangton"],
   inference: ["fwang", "MrMushrooooom", "starptech"],
   windows: ["Hona"],
 } as const

bun.lock

@@ -29,7 +29,7 @@
     },
     "packages/app": {
       "name": "@opencode-ai/app",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@corvu/drawer": "catalog:",
         "@dnd-kit/abstract": "0.5.0",
@@ -96,7 +96,7 @@
     },
     "packages/cli": {
       "name": "@opencode-ai/cli",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "bin": {
         "lildax": "./bin/lildax.cjs",
       },
@@ -144,7 +144,7 @@
     },
     "packages/codemode": {
       "name": "@opencode-ai/codemode",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "acorn": "8.15.0",
         "effect": "catalog:",
@@ -158,7 +158,7 @@
     },
     "packages/console/app": {
       "name": "@opencode-ai/console-app",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@cloudflare/vite-plugin": "1.15.2",
         "@ibm/plex": "6.4.1",
@@ -194,7 +194,7 @@
     },
     "packages/console/core": {
       "name": "@opencode-ai/console-core",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@aws-sdk/client-sts": "3.782.0",
         "@jsx-email/render": "1.1.1",
@@ -221,7 +221,7 @@
     },
     "packages/console/function": {
       "name": "@opencode-ai/console-function",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@ai-sdk/anthropic": "3.0.82",
         "@ai-sdk/openai": "3.0.48",
@@ -243,7 +243,7 @@
     },
     "packages/console/mail": {
       "name": "@opencode-ai/console-mail",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@jsx-email/all": "2.2.3",
         "@jsx-email/cli": "1.4.3",
@@ -267,7 +267,7 @@
     },
     "packages/console/support": {
       "name": "@opencode-ai/console-support",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@cloudflare/vite-plugin": "1.15.2",
         "@opencode-ai/console-core": "workspace:*",
@@ -287,7 +287,7 @@
     },
     "packages/core": {
       "name": "@opencode-ai/core",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "bin": {
         "opencode": "./bin/opencode",
       },
@@ -332,7 +332,7 @@
         "@opentelemetry/sdk-trace-base": "2.6.1",
         "@parcel/watcher": "2.5.1",
         "@silvia-odwyer/photon-node": "0.3.4",
-        "ai-gateway-provider": "3.1.2",
+        "ai-gateway-provider": "3.2.0",
         "bun-pty": "0.4.8",
         "cross-spawn": "catalog:",
         "diff": "catalog:",
@@ -381,7 +381,7 @@
     },
     "packages/desktop": {
       "name": "@opencode-ai/desktop",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@zip.js/zip.js": "2.7.62",
         "drizzle-orm": "catalog:",
@@ -435,7 +435,7 @@
     },
     "packages/effect-drizzle-sqlite": {
       "name": "@opencode-ai/effect-drizzle-sqlite",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "drizzle-orm": "catalog:",
         "effect": "catalog:",
@@ -449,7 +449,7 @@
     },
     "packages/effect-sqlite-node": {
       "name": "@opencode-ai/effect-sqlite-node",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "effect": "catalog:",
       },
@@ -461,7 +461,7 @@
     },
     "packages/enterprise": {
       "name": "@opencode-ai/enterprise",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@hono/standard-validator": "catalog:",
         "@opencode-ai/core": "workspace:*",
@@ -493,7 +493,7 @@
     },
     "packages/function": {
       "name": "@opencode-ai/function",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@octokit/auth-app": "8.0.1",
         "@octokit/rest": "catalog:",
@@ -509,7 +509,7 @@
     },
     "packages/http-recorder": {
       "name": "@opencode-ai/http-recorder",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@effect/platform-node": "4.0.0-beta.83",
         "@effect/platform-node-shared": "4.0.0-beta.83",
@@ -540,7 +540,7 @@
     },
     "packages/llm": {
       "name": "@opencode-ai/llm",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@opencode-ai/schema": "workspace:*",
         "@smithy/eventstream-codec": "4.2.14",
@@ -559,7 +559,7 @@
     },
     "packages/opencode": {
       "name": "opencode",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "bin": {
         "opencode": "./bin/opencode",
       },
@@ -623,7 +623,7 @@
         "@types/ws": "8.18.1",
         "@zip.js/zip.js": "2.7.62",
         "ai": "catalog:",
-        "ai-gateway-provider": "3.1.2",
+        "ai-gateway-provider": "3.2.0",
         "bonjour-service": "1.3.0",
         "chokidar": "4.0.3",
         "cross-spawn": "catalog:",
@@ -690,7 +690,7 @@
     },
     "packages/plugin": {
       "name": "@opencode-ai/plugin",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@ai-sdk/provider": "3.0.8",
         "@opencode-ai/sdk": "workspace:*",
@@ -766,7 +766,7 @@
     },
     "packages/sdk/js": {
       "name": "@opencode-ai/sdk",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "cross-spawn": "catalog:",
       },
@@ -781,7 +781,7 @@
     },
     "packages/server": {
       "name": "@opencode-ai/server",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@opencode-ai/core": "workspace:*",
         "@opencode-ai/protocol": "workspace:*",
@@ -796,7 +796,7 @@
     },
     "packages/session-ui": {
       "name": "@opencode-ai/session-ui",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@kobalte/core": "catalog:",
         "@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13-v2.tgz",
@@ -836,7 +836,7 @@
     },
     "packages/slack": {
       "name": "@opencode-ai/slack",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@opencode-ai/sdk": "workspace:*",
         "@slack/bolt": "^3.17.1",
@@ -849,7 +849,7 @@
     },
     "packages/stats/app": {
       "name": "@opencode-ai/stats-app",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@ibm/plex": "6.4.1",
         "@kobalte/core": "catalog:",
@@ -883,7 +883,7 @@
     },
     "packages/stats/core": {
       "name": "@opencode-ai/stats-core",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@aws-sdk/client-athena": "3.933.0",
         "@planetscale/database": "1.19.0",
@@ -902,7 +902,7 @@
     },
     "packages/stats/server": {
       "name": "@opencode-ai/stats-server",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@aws-sdk/client-firehose": "3.933.0",
         "@effect/platform-node": "catalog:",
@@ -944,7 +944,7 @@
     },
     "packages/tui": {
       "name": "@opencode-ai/tui",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@opencode-ai/core": "workspace:*",
         "@opencode-ai/plugin": "workspace:*",
@@ -971,7 +971,7 @@
     },
     "packages/ui": {
       "name": "@opencode-ai/ui",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@kobalte/core": "catalog:",
         "@pierre/diffs": "catalog:",
@@ -1022,7 +1022,7 @@
     },
     "packages/web": {
       "name": "@opencode-ai/web",
-      "version": "1.18.15",
+      "version": "1.18.18",
       "dependencies": {
         "@astrojs/cloudflare": "12.6.3",
         "@astrojs/markdown-remark": "6.3.1",
@@ -1075,6 +1075,7 @@
     "@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
     "@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
     "solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
+    "@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch",
     "@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
     "pacote@21.5.0": "patches/pacote@21.5.0.patch",
     "@dnd-kit/dom@0.5.0": "patches/@dnd-kit%2Fdom@0.5.0.patch",
@@ -1182,15 +1183,15 @@
 
     "@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],
 
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+    "@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-DPoKiCXDwzopJI/pHcZnXaycZ5qqCL4xCWcfsb1s8M8OUPchK2GUHcCXt6v056fAqtKWLF/hrW+RcHFFY0qyHQ=="],
 
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@@ -3062,7 +3063,7 @@
 
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@@ -5666,9 +5667,9 @@
 
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+    "@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
 
-    "@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
+    "@ai-sdk/deepgram/@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=="],
 
     "@ai-sdk/deepinfra/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
 
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@@ -6594,14 +6599,20 @@
 
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@@ -6976,29 +6987,51 @@
 
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+    "ai-gateway-provider/@ai-sdk/anthropic/@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/cerebras/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.54", "", { "dependencies": { "@ai-sdk/provider": "3.0.12", "@ai-sdk/provider-utils": "4.0.33" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OyXt0zK8y2/ZIyWlbxTv2r1M7AK227S+Gl4BYOEF42q0wz1n5m4fwR8L4Fy/MQ4Ho6xje47MPsFcRdIqIyP6Rw=="],
 
-    "ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
+    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider": ["@ai-sdk/provider@3.0.12", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-sj9DWTJ2Ze0WR9qsiOPqoqzNx3OxL6iMxHImbhvoe9qOspekbzxNDMiJ4TIGfYHYh9w4OmBjz3prvqhzTi96+Q=="],
 
-    "ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
+    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.12", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-nJ0bAfegMAIJtrzMJtbzer1cS3nb7c7DsyU1S4nrPm7ZU0Mn6SBBZv5IGZZGTbpWTJwqKTSPeZJTXalbAxt1BA=="],
 
-    "ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
+    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
 
-    "ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
+    "ai-gateway-provider/@ai-sdk/cohere/@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=="],
 
-    "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=="],
+    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+
+    "ai-gateway-provider/@ai-sdk/google/@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=="],
+
+    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.67", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-glcEJC2mBXJKj7joFI0fRhcbdDYKTBgXMPcT6Vcnlym67tTzuNG9pFx3zblxVv8TdOxhojJja5zGG19yeGJxuA=="],
+
+    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+
+    "ai-gateway-provider/@ai-sdk/google-vertex/@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=="],
+
+    "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=="],
+
+    "ai-gateway-provider/@ai-sdk/groq/@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=="],
+
+    "ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
+
+    "ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
+
+    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+
+    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
 
     "ajv-keywords/ajv/json-schema-traverse": ["json-schema-traverse@0.4.1", "", {}, "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="],
 
@@ -7418,13 +7451,35 @@
 
     "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
 
+    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+
     "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
 
-    "ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
 
-    "ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
 
-    "ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
+    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+
+    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
+    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+
+    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
+    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+
+    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
+    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+
+    "ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
+    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
+    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
 
     "ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
 

infra/stats.ts

@@ -181,6 +181,16 @@ const statsSyncConfig = new sst.Linkable("StatsSyncConfig", {
   },
 })
 
+const r2SqlAuthToken = new sst.Secret("R2SqlAuthToken")
+const r2Sql = new sst.Linkable("R2Sql", {
+  properties: {
+    accountId: "15d29c8639fd3733b1b5486a2acfd968",
+    bucket: `platform-${$app.stage}-lake`,
+    namespace: "inference",
+    table: "generation",
+  },
+})
+
 export const statSync = new sst.aws.Service("StatsSyncService", {
   cluster: lakeCluster,
   architecture: "arm64",
@@ -193,7 +203,9 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
     dockerfile: "packages/stats/server/Dockerfile",
   },
   command: ["bun", "src/stat-sync.ts"],
-  link: [database, inferenceEvent, statsSyncConfig],
+  // Keep the legacy Athena link and IAM permissions during the first R2-backed
+  // release so reverting the application code remains a one-deploy rollback.
+  link: [database, inferenceEvent, r2Sql, r2SqlAuthToken, statsSyncConfig],
   permissions: lakeQueryPermissions,
   scaling: {
     min: 1,

nix/hashes.json

@@ -1,8 +1,8 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-uduwrM143NDSc+tXsi4lVVfoMll2a3BDHRUjuO7GB68=",
-    "aarch64-linux": "sha256-6DUda78XdXY6DP86lIUkweSjys3iG4Y4mo1PiaNuXbg=",
-    "aarch64-darwin": "sha256-AkJwfLULLZVwwz+XU1QcFUZoIS7oVPCn+n/MXEaxrqE=",
-    "x86_64-darwin": "sha256-hAxKGdiITTxQ2uujQt6prNjo3NxGAMMeo+9HlMWK6GU="
+    "x86_64-linux": "sha256-kDCnJMnaK/Jq7ckcpPB7Vl9v98EMSdcehZAtf8jNjTs=",
+    "aarch64-linux": "sha256-0aR+OJGXS5HMlXbe/BHybjIRvdNJJw6gjW+jr6Dk7Pk=",
+    "aarch64-darwin": "sha256-loLrV6xiorhwS/N2hlpiKSKX172Qxy+auNiPzFBhQSc=",
+    "x86_64-darwin": "sha256-PNEpQBLAz8M274bSyTpp0jofETn2L+D0uBiJHUV7nB0="
   }
 }

package.json

@@ -159,6 +159,7 @@
     "@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
     "effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
     "@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch",
-    "@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch"
+    "@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch",
+    "@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch"
   }
 }

packages/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/app",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "description": "",
   "type": "module",
   "exports": {

packages/app/src/components/directory-picker-domain.test.ts

@@ -139,6 +139,7 @@ test("resolves directory autocomplete from the current browser root", async () =
           directories.push(input.location?.directory ?? "")
           return Promise.resolve({ data: [] })
         },
+        list: () => Promise.resolve({ data: [] }),
       },
     },
   } as unknown as Parameters<typeof createDirectorySearch>[0]["sdk"]
@@ -152,6 +153,67 @@ test("resolves directory autocomplete from the current browser root", async () =
   expect(directories).toEqual(["/repo", "/repo/src"])
 })
 
+test("keeps indexed directory results for servers that support empty search", async () => {
+  const sdk = {
+    api: {
+      file: {
+        find: () => Promise.resolve({ data: [{ path: "projects/", type: "directory" }] }),
+        list: () => Promise.reject(new Error("listing should not run when search returns results")),
+      },
+    },
+  } as unknown as Parameters<typeof createDirectorySearch>[0]["sdk"]
+  const search = createDirectorySearch({ sdk, home: () => "/home/luke", base: () => "/home/luke" })
+
+  expect(await search("")).toEqual(["/home/luke/projects"])
+})
+
+test("lists the default directory when empty search is unsupported", async () => {
+  const calls: string[] = []
+  const directories = Array.from({ length: 60 }, (_, index) => ({
+    path: `project-${index}/`,
+    type: "directory" as const,
+  }))
+  const sdk = {
+    api: {
+      file: {
+        find: () => Promise.resolve({ data: [] }),
+        list: (input: { location?: { directory?: string } }) => {
+          calls.push(input.location?.directory ?? "")
+          return Promise.resolve({
+            data: [...directories, { path: "README.md", type: "file" }],
+          })
+        },
+      },
+    },
+  } as unknown as Parameters<typeof createDirectorySearch>[0]["sdk"]
+  const search = createDirectorySearch({ sdk, home: () => "/home/luke", base: () => "/home/luke" })
+
+  const results = await search("")
+  expect(results).toHaveLength(60)
+  expect(results.at(-1)).toBe("/home/luke/project-59")
+  expect(calls).toEqual(["/home/luke"])
+})
+
+test("matches the default directory listing when typed search is unsupported", async () => {
+  const sdk = {
+    api: {
+      file: {
+        find: () => Promise.resolve({ data: [] }),
+        list: () =>
+          Promise.resolve({
+            data: [
+              { path: "Documents/", type: "directory" },
+              { path: "Downloads/", type: "directory" },
+            ],
+          }),
+      },
+    },
+  } as unknown as Parameters<typeof createDirectorySearch>[0]["sdk"]
+  const search = createDirectorySearch({ sdk, home: () => "/home/luke", base: () => "/home/luke" })
+
+  expect(await search("documents")).toEqual(["/home/luke/Documents"])
+})
+
 test("searches from an absolute root without a default base", async () => {
   const directories: string[] = []
   const sdk = {

packages/app/src/components/directory-picker-domain.ts

@@ -379,7 +379,14 @@ export function createDirectorySearch(args: { sdk: ServerSDK; base: () => string
         .then((result) => result.data.map((entry) => entry.path))
         .catch(() => [])
       if (!active()) return []
-      return results.map((path) => joinPickerPath(input.directory, path)).slice(0, 50)
+      if (results.length) {
+        return results.map((path) => joinPickerPath(input.directory, path)).slice(0, 50)
+      }
+      const fallback = query
+        ? await match(input.directory, query, 50)
+        : (await directories(input.directory)).map((item) => item.absolute)
+      if (!active()) return []
+      return fallback
     }
     const segments = query.replace(/^\/+/, "").split("/")
     const head = segments.slice(0, -1).filter((part) => part && part !== ".")

packages/app/src/context/global-sync/utils.test.ts

@@ -103,6 +103,7 @@ describe("normalizeProviderList", () => {
     )
 
     expect(result.connected).toEqual(["openai"])
+    expect(result.defaultModel).toEqual({ providerID: "openai", modelID: "gpt-5" })
     expect(result.default).toEqual({ openai: "gpt-5" })
     expect(result.all.get("openai")?.models["gpt-old"]).toBeUndefined()
     expect(result.all.get("openai")?.models["gpt-5"]).toMatchObject({
@@ -113,6 +114,10 @@ describe("normalizeProviderList", () => {
       variants: { high: {} },
     })
   })
+
+  test("preserves an empty current default", () => {
+    expect(normalizeProviderList([] as ProviderListOutput["data"], [], null).defaultModel).toBeNull()
+  })
 })
 
 describe("directoryKey", () => {

packages/app/src/context/global-sync/utils.ts

@@ -139,6 +139,7 @@ export function normalizeProviderList(
   return {
     all,
     connected: providers.map((provider) => provider.id),
+    defaultModel: defaultModel ? { providerID: defaultModel.providerID, modelID: defaultModel.id } : null,
     default: Object.fromEntries(
       providers.flatMap((provider) => {
         const model =

packages/app/src/context/local.tsx

@@ -6,6 +6,7 @@ import { createStore } from "solid-js/store"
 import { useModels } from "@/context/models"
 import { useSettings } from "@/context/settings"
 import { useProviders } from "@/hooks/use-providers"
+import { resolveDefaultModel } from "@/hooks/provider-catalog"
 import { Persist, persisted } from "@/utils/persist"
 import { hasCustomAgent, resolveAgent } from "./local-agent"
 import { cycleModelVariant, getConfiguredAgentVariant, resolveModelVariant } from "./model-variant"
@@ -149,10 +150,8 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
     })
 
     const configuredModel = () => {
-      const configured = sync().data.config.model
-      if (!configured) return
-      const [providerID, modelID] = configured.split("/")
-      const model = { providerID, modelID }
+      const model = resolveDefaultModel(providers.defaultModel(), sync().data.config.model)
+      if (!model) return
       if (validModel(model)) return model
     }
 

packages/app/src/hooks/provider-catalog.test.ts

@@ -1,6 +1,6 @@
 import { expect, test } from "bun:test"
 import type { NormalizedProviderListResponse } from "@opencode-ai/session-ui/context"
-import { selectProviderCatalog } from "./provider-catalog"
+import { resolveDefaultModel, selectProviderCatalog } from "./provider-catalog"
 
 const catalog = (id: string): NormalizedProviderListResponse => ({
   all: new Map([[id, { id, name: id, source: "api", env: [], options: {}, models: {} }]]),
@@ -57,3 +57,21 @@ test("falls back to the global catalog for route consumers", () => {
     }),
   ).toBe(global)
 })
+
+test("uses the current server default model", () => {
+  expect(resolveDefaultModel({ providerID: "openai", modelID: "gpt-5" }, "anthropic/claude")).toEqual({
+    providerID: "openai",
+    modelID: "gpt-5",
+  })
+})
+
+test("does not use legacy config when the current server has no default", () => {
+  expect(resolveDefaultModel(null, "anthropic/claude")).toBeUndefined()
+})
+
+test("uses config for legacy servers", () => {
+  expect(resolveDefaultModel(undefined, "anthropic/claude")).toEqual({
+    providerID: "anthropic",
+    modelID: "claude",
+  })
+})

packages/app/src/hooks/provider-catalog.ts

@@ -25,3 +25,13 @@ export function selectProviderCatalog(input: ProviderCatalogInput) {
   if (input.explicit) return emptyProviderCatalog
   return input.global
 }
+
+export function resolveDefaultModel(
+  current: NormalizedProviderListResponse["defaultModel"],
+  legacy: string | undefined,
+) {
+  if (current !== undefined) return current ?? undefined
+  if (!legacy) return undefined
+  const [providerID, modelID] = legacy.split("/")
+  return { providerID, modelID }
+}

packages/app/src/hooks/use-providers.ts

@@ -41,6 +41,7 @@ export function useProviders(directory: Accessor<string | undefined>) {
   return {
     all: () => providers().all,
     default: () => providers().default,
+    defaultModel: () => providers().defaultModel,
     popular: () =>
       pipe(
         providers().all,

packages/app/src/i18n/zh.ts

@@ -583,7 +583,7 @@ export const dict = {
   "dialog.usageExceeded.dontShowAgain": "不再显示",
 
   "context.breakdown.title": "上下文细分",
-  "context.breakdown.note": "输入令牌的大致细分。“其他”包含工具定义和开销。",
+  "context.breakdown.note": "输入 token 的大致细分。“其他”包含工具定义和开销。",
   "context.breakdown.system": "系统",
   "context.breakdown.user": "用户",
   "context.breakdown.assistant": "助手",
@@ -598,18 +598,18 @@ export const dict = {
   "context.stats.provider": "提供商",
   "context.stats.model": "模型",
   "context.stats.limit": "上下文限制",
-  "context.stats.totalTokens": "令牌总数",
+  "context.stats.totalTokens": "总 token",
   "context.stats.usage": "使用率",
-  "context.stats.inputTokens": "输入令牌",
-  "context.stats.outputTokens": "输出令牌",
-  "context.stats.reasoningTokens": "推理令牌",
-  "context.stats.cacheTokens": "缓存令牌（读/写）",
+  "context.stats.inputTokens": "输入 token",
+  "context.stats.outputTokens": "输出 token",
+  "context.stats.reasoningTokens": "推理 token",
+  "context.stats.cacheTokens": "缓存 token（读/写）",
   "context.stats.userMessages": "用户消息",
   "context.stats.assistantMessages": "助手消息",
   "context.stats.totalCost": "总成本",
   "context.stats.sessionCreated": "创建时间",
   "context.stats.lastActivity": "最后活动",
-  "context.usage.tokens": "令牌数",
+  "context.usage.tokens": "Token",
   "context.usage.usage": "使用率",
   "context.usage.cost": "成本",
   "context.usage.clickToView": "点击查看上下文",

packages/app/src/pages/home/home-controller.ts

@@ -90,7 +90,20 @@ export function createHomeController() {
         const directory = directories[0]
         if (!directory) return
         const ctx = global.ensureServerCtx(conn)
-        directories.forEach((item) => ctx.projects.open(item))
+        directories.forEach((item) => {
+          if (ctx.projects.list().some((project) => project.worktree === item)) return
+          const location = { directory: item }
+          void ctx.sdk.api.file
+            .list({ path: ".", location })
+            .then(async (files) => {
+              if (files.data.length > 0) return ctx.sdk.api.project.current({ location })
+              const result = await ctx.sdk.client.project.initGit({ directory: item })
+              return result.data ?? ctx.sdk.api.project.current({ location })
+            })
+            .then((project) => ctx.sync.child(item, { bootstrap: false })[1]("project", project.id))
+            .catch(() => undefined)
+          ctx.projects.open(item)
+        })
         ctx.projects.touch(directory)
         setSelection({ server: ServerConnection.key(conn), directory })
       },

packages/app/src/pages/home/home-projects-view.tsx

@@ -475,6 +475,10 @@ function HomeProjectRow(
       ref={sortable.ref}
       class="group/project relative flex h-7 min-w-0 items-center rounded-[6px]"
       classList={{ "z-10": sortable.isDragSource() }}
+      onContextMenu={(event) => {
+        event.preventDefault()
+        props.onSetContextMenuOpen(contextMenuID(), true)
+      }}
     >
       <HomeProjectNavButton
         type="button"

packages/app/src/pages/session/composer/prompt-model-selection.ts

@@ -6,6 +6,7 @@ import { usePrompt } from "@/context/prompt"
 import { useSDK } from "@/context/sdk"
 import { useSync } from "@/context/sync"
 import { useProviders } from "@/hooks/use-providers"
+import { resolveDefaultModel } from "@/hooks/provider-catalog"
 
 export function createPromptModelSelection(input: { agent: () => { model?: ModelKey; variant?: string } | undefined }) {
   const sdk = useSDK()
@@ -21,10 +22,8 @@ export function createPromptModelSelection(input: { agent: () => { model?: Model
   }
 
   const configured = () => {
-    const value = sync().data.config.model
-    if (!value) return
-    const [providerID, modelID] = value.split("/")
-    const model = { providerID, modelID }
+    const model = resolveDefaultModel(providers.defaultModel(), sync().data.config.model)
+    if (!model) return
     if (valid(model)) return model
   }
 

packages/cli/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/cli",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "bin": {

packages/codemode/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/codemode",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "description": "Effect-native confined code execution over schema-described tools",
   "private": true,
   "type": "module",

packages/console/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/console-app",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/console/app/src/i18n/en.ts

@@ -373,7 +373,8 @@ export const dict = {
   "zen.api.error.providerNotSupported": "Provider {{provider}} not supported",
   "zen.api.error.missingApiKey": "Missing API key.",
   "zen.api.error.invalidApiKey": "Invalid API key.",
-  "zen.api.error.requestBlockedByUpstreamProvider": "Request blocked by upstream provider.",
+  "zen.api.error.requestBlockedByUpstreamProvider":
+    "This account has found to be committing fraud or is in breach of terms of services and has been blocked. If you believe this is a mistake please send an email to help@anoma.ly.",
   "zen.api.error.subscriptionQuotaExceeded": "Subscription quota exceeded. Retry in {{retryIn}}.",
   "zen.api.error.goSubscriptionRollingLimitExceeded":
     "5-hour usage limit reached. Resets in {{retryIn}}. To continue using this model now, enable usage from your available balance: {{consoleGoUrl}}",

packages/console/app/src/routes/go/index.tsx

@@ -25,6 +25,7 @@ const checkLoggedIn = query(async () => {
 const models = [
   { name: "Grok 4.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
   { name: "GPT 5.6 Luna", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
+  { name: "GLM-5.3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "GLM-5.2", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "GLM-5.1", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "Kimi K3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },

packages/console/app/src/routes/workspace/[id]/go/lite-section.tsx

@@ -306,6 +306,7 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
           <ul data-slot="promo-models">
             <li>Grok 4.5</li>
             <li>GPT 5.6 Luna</li>
+            <li>GLM-5.3</li>
             <li>GLM-5.2</li>
             <li>GLM-5.1</li>
             <li>Kimi K3</li>

packages/console/app/src/routes/zen/go/v1/usage.ts

@@ -0,0 +1,158 @@
+import type { APIEvent } from "@solidjs/start/server"
+import { and, Database, eq, isNull } from "@opencode-ai/console-core/drizzle/index.js"
+import { BillingTable, LiteTable } from "@opencode-ai/console-core/schema/billing.sql.js"
+import { KeyTable } from "@opencode-ai/console-core/schema/key.sql.js"
+import { UserTable } from "@opencode-ai/console-core/schema/user.sql.js"
+import { WorkspaceTable } from "@opencode-ai/console-core/schema/workspace.sql.js"
+import { LiteData } from "@opencode-ai/console-core/lite.js"
+import { Subscription } from "@opencode-ai/console-core/subscription.js"
+
+export async function GET(input: APIEvent) {
+  const apiKey = input.request.headers.get("authorization")?.match(/^Bearer (\S+)$/)?.[1]
+
+  if (!apiKey) {
+    return new Response(
+      JSON.stringify({
+        type: "error",
+        error: {
+          type: "AuthError",
+          message: "Missing API key.",
+        },
+      }),
+      {
+        status: 401,
+        headers: {
+          "Content-Type": "application/json",
+        },
+      },
+    )
+  }
+
+  const auth = await Database.use((tx) =>
+    tx
+      .select({
+        userID: KeyTable.userID,
+        workspaceID: KeyTable.workspaceID,
+      })
+      .from(KeyTable)
+      .innerJoin(
+        UserTable,
+        and(
+          eq(UserTable.workspaceID, KeyTable.workspaceID),
+          eq(UserTable.id, KeyTable.userID),
+          isNull(UserTable.timeDeleted),
+        ),
+      )
+      .innerJoin(WorkspaceTable, and(eq(WorkspaceTable.id, KeyTable.workspaceID), isNull(WorkspaceTable.timeDeleted)))
+      .innerJoin(
+        BillingTable,
+        and(eq(BillingTable.workspaceID, KeyTable.workspaceID), isNull(BillingTable.timeDeleted)),
+      )
+      .where(and(eq(KeyTable.key, apiKey), isNull(KeyTable.timeDeleted)))
+      .then((rows) => rows[0]),
+  )
+
+  if (!auth) {
+    return new Response(
+      JSON.stringify({
+        type: "error",
+        error: {
+          type: "AuthError",
+          message: "Unauthorized",
+        },
+      }),
+      {
+        status: 401,
+        headers: {
+          "Content-Type": "application/json",
+        },
+      },
+    )
+  }
+
+  const row = await Database.use((tx) =>
+    tx
+      .select({
+        timeCreated: LiteTable.timeCreated,
+        rollingUsage: LiteTable.rollingUsage,
+        weeklyUsage: LiteTable.weeklyUsage,
+        monthlyUsage: LiteTable.monthlyUsage,
+        timeRollingUpdated: LiteTable.timeRollingUpdated,
+        timeWeeklyUpdated: LiteTable.timeWeeklyUpdated,
+        timeMonthlyUpdated: LiteTable.timeMonthlyUpdated,
+      })
+      .from(LiteTable)
+      .where(
+        and(
+          eq(LiteTable.workspaceID, auth.workspaceID),
+          eq(LiteTable.userID, auth.userID),
+          isNull(LiteTable.timeDeleted),
+        ),
+      )
+      .then((rows) => rows[0]),
+  )
+
+  if (!row) {
+    return new Response(
+      JSON.stringify({
+        type: "error",
+        error: {
+          type: "EntitlementError",
+          message: "OpenCode Go subscription required.",
+        },
+      }),
+      {
+        status: 403,
+        headers: {
+          "Content-Type": "application/json",
+        },
+      },
+    )
+  }
+
+  const limits = LiteData.getLimits()
+
+  return new Response(
+    JSON.stringify({
+      usage: {
+        rolling: formatUsage(
+          Subscription.analyzeRollingUsage({
+            limit: limits.rollingLimit,
+            window: limits.rollingWindow,
+            usage: row.rollingUsage ?? 0,
+            timeUpdated: row.timeRollingUpdated ?? new Date(),
+          }),
+        ),
+        weekly: formatUsage(
+          Subscription.analyzeWeeklyUsage({
+            limit: limits.weeklyLimit,
+            usage: row.weeklyUsage ?? 0,
+            timeUpdated: row.timeWeeklyUpdated ?? new Date(),
+          }),
+        ),
+        monthly: formatUsage(
+          Subscription.analyzeMonthlyUsage({
+            limit: limits.monthlyLimit,
+            usage: row.monthlyUsage ?? 0,
+            timeUpdated: row.timeMonthlyUpdated ?? new Date(),
+            timeSubscribed: row.timeCreated,
+          }),
+        ),
+      },
+    }),
+    {
+      status: 200,
+      headers: {
+        "Content-Type": "application/json",
+      },
+    },
+  )
+}
+
+function formatUsage(usage: { status: "ok" | "rate-limited"; resetInSec: number; usagePercent: number }) {
+  return {
+    status: usage.status,
+    percent: usage.usagePercent,
+    resetsAt: new Date(Date.now() + usage.resetInSec * 1000).toISOString(),
+  }
+}

packages/console/app/src/routes/zen/util/handler.ts

@@ -139,7 +139,7 @@ export async function handler(
     if (
       authInfo &&
       opts.modelList === "lite" &&
-      modelInfo.id === "deepseek-v4-flash" &&
+      ["deepseek-v4-flash", "deepseek-v4-pro"].includes(modelInfo.id) &&
       !allowedRegions?.includes("cn")
     )
       throw new RegionError(

packages/console/core/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/console-core",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/console/core/src/billing.ts

@@ -381,6 +381,11 @@ export namespace Billing {
             return {
               line_items: [{ price: LiteData.priceID(), quantity: 1 }],
               billing_address_collection: "required",
+              payment_method_options: {
+                card: {
+                  request_three_d_secure: "any",
+                },
+              },
             }
           })(),
           tax_id_collection: {

packages/console/function/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/console-function",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "$schema": "https://json.schemastore.org/package.json",
   "private": true,
   "type": "module",

packages/console/mail/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/console-mail",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "dependencies": {
     "@jsx-email/all": "2.2.3",
     "@jsx-email/cli": "1.4.3",

packages/console/support/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/console-support",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/core/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "name": "@opencode-ai/core",
   "type": "module",
   "license": "MIT",
@@ -101,7 +101,7 @@
     "@parcel/watcher": "2.5.1",
     "@silvia-odwyer/photon-node": "0.3.4",
     "@openrouter/ai-sdk-provider": "2.9.0",
-    "ai-gateway-provider": "3.1.2",
+    "ai-gateway-provider": "3.2.0",
     "bun-pty": "0.4.8",
     "cross-spawn": "catalog:",
     "diff": "catalog:",

packages/core/src/plugin/agent.ts

@@ -30,15 +30,11 @@ Guidelines:
 
 Complete the user's search request efficiently and report your findings clearly.`
 
-const PROMPT_COMPACTION = `You are an anchored context summarization assistant for coding sessions.
-
-Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
-
-If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
+const PROMPT_COMPACTION = `You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
 
 Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
 
-Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.`
+Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.`
 
 const PROMPT_TITLE = `You are a title generator. You output ONLY a thread title. Nothing else.
 

packages/core/src/plugin/skill/customize-opencode.md

@@ -40,7 +40,7 @@ already-loaded config until then.
 | Scope                         | Path                                                                                                                      |
 | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
 | Project config                | `./opencode.json`, `./opencode.jsonc`, or `.opencode/opencode.json` (opencode walks up from the cwd to the worktree root) |
-| Global config                 | `~/.config/opencode/opencode.json` (NOT `~/.opencode/`)                                                                   |
+| Global config                 | `~/.config/opencode/opencode.json` or `~/.config/opencode/opencode.jsonc` (NOT `~/.opencode/`)                            |
 | Project agents                | `.opencode/agent/<name>.md` or `.opencode/agents/<name>.md`                                                               |
 | Global agents                 | `~/.config/opencode/agent(s)/<name>.md`                                                                                   |
 | Project commands              | `.opencode/command/<name>.md` or `.opencode/commands/<name>.md`                                                           |

packages/core/src/ripgrep.ts

@@ -264,7 +264,10 @@ const layer = Layer.effect(
                 }),
                 line: match.line_number,
                 offset: match.absolute_offset,
-                text: match.lines.text.length > 2_000 ? match.lines.text.slice(0, 2_000) + "..." : match.lines.text,
+                text:
+                  match.lines.text.length > 2_000
+                    ? match.lines.text.slice(0, 2_000).replace(/[\uD800-\uDBFF]$/, "") + "..."
+                    : match.lines.text,
                 submatches: match.submatches.map((submatch) => ({
                   text: submatch.match.text,
                   start: submatch.start,

packages/core/src/session/compaction.ts

@@ -44,6 +44,15 @@ Rules:
 - Use terse bullets, not prose paragraphs.
 - Preserve exact file paths, symbols, commands, error strings, URLs, and identifiers when known.
 - Do not mention the summary process or that context was compacted.`
+const SUMMARY_UPDATE_INSTRUCTIONS = `The <prior-summary> summarizes everything that happened before the <conversation>. Construct a new summary that combines both. The <prior-summary> is discarded after this: anything you do not carry into the new summary is lost.
+
+When combining:
+- Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary> even when the <conversation> does not mention them. Drop only what is finished and no longer needed.
+- The <conversation> is more recent than the <prior-summary>. Where they conflict, the conversation wins: state the corrected fact and drop the old claim.
+- Add new progress, decisions, constraints, and context from the conversation.
+- Move completed work from "Active" to "Completed".
+- If a blocker has been resolved, update the summary to reflect that while keeping any details still needed to continue the work.
+- Update "Objective" and "Next Move" to reflect the current work state.`
 
 type Entry = {
   readonly seq: number
@@ -136,36 +145,33 @@ const select = (
   if (conversation.length === 0) return
   let total = 0
   let split = conversation.length
-  let splitPrefix = ""
-  let splitSuffix = ""
   for (let index = conversation.length - 1; index >= 0; index--) {
     const next = total + Token.estimate(conversation[index])
-    if (next > tokens) {
-      const remaining = Math.max(0, tokens - total) * 4
-      if (remaining > 0) {
-        splitPrefix = conversation[index].slice(0, -remaining)
-        splitSuffix = conversation[index].slice(-remaining)
-        split = index + 1
-      }
-      break
-    }
+    if (next > tokens) break
     total = next
     split = index
   }
   return {
-    head: [...conversation.slice(0, split), splitPrefix].filter(Boolean).join("\n\n"),
-    recent: [splitSuffix, ...conversation.slice(split)].filter(Boolean).join("\n\n"),
+    head: conversation.slice(0, split).join("\n\n"),
+    recent: conversation.slice(split).join("\n\n"),
   }
 }
 
-export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) =>
-  [
-    input.previousSummary
-      ? `Update the anchored summary below using the conversation history above.\nPreserve still-true details, remove stale details, and merge in the new facts.\n<previous-summary>\n${input.previousSummary}\n</previous-summary>`
-      : "Create a new anchored summary from the conversation history.",
+export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) => {
+  const conversation = `Here is the conversation so far:\n\n<conversation>\n${input.context.join("\n\n")}\n</conversation>`
+  if (!input.previousSummary)
+    return [
+      conversation,
+      "Create a new anchored summary from the conversation history in the <conversation> tags above so another coding agent can continue the work.",
+      SUMMARY_TEMPLATE,
+    ].join("\n\n")
+  return [
+    conversation,
+    `Here is the summary of the conversation before the <conversation> above:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`,
+    SUMMARY_UPDATE_INSTRUCTIONS,
     SUMMARY_TEMPLATE,
-    ...input.context,
   ].join("\n\n")
+}
 
 export const make = (dependencies: Dependencies) => {
   const config = settings(dependencies.config)

packages/core/src/session/projector.ts

@@ -12,7 +12,6 @@ import { SessionMessage } from "./message"
 import { SessionMessageUpdater } from "./message-updater"
 import { SessionInput } from "./input"
 import { WorkspaceV2 } from "../workspace"
-import { SessionContextEpoch } from "./context-epoch"
 import { MessageTable, PartTable, SessionInputTable, SessionMessageTable, SessionTable } from "./sql"
 import type { DeepMutable } from "../schema"
 
@@ -253,7 +252,6 @@ const layer = Layer.effectDiscard(
           .where(eq(SessionTable.id, event.data.sessionID))
           .run()
           .pipe(Effect.orDie)
-        yield* SessionContextEpoch.reset(db, event.data.sessionID)
       }),
     )
     yield* events.project(SessionV1.Event.Deleted, (event) =>
@@ -449,7 +447,6 @@ const layer = Layer.effectDiscard(
           .where(eq(SessionTable.id, event.data.sessionID))
           .run()
           .pipe(Effect.orDie)
-        yield* SessionContextEpoch.reset(db, event.data.sessionID)
       }),
     )
   }),

packages/core/src/v1/config/config.ts

@@ -156,7 +156,7 @@ export const Info = Schema.Struct({
       }),
       tail_turns: Schema.optional(NonNegativeInt).annotate({
         description:
-          "Number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction (default: 2)",
+          "Maximum number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction. By default retention is limited only by the preserved token budget.",
       }),
       preserve_recent_tokens: Schema.optional(NonNegativeInt).annotate({
         description: "Maximum number of tokens from recent turns to preserve verbatim after compaction",

packages/core/test/provider-groq.test.ts

@@ -0,0 +1,28 @@
+import { createGroq } from "@ai-sdk/groq"
+import { expect, test } from "bun:test"
+
+test("Groq passes through unknown reasoning effort", async () => {
+  let body: Record<string, unknown> | undefined
+  const mockFetch = Object.assign(
+    async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+      body = JSON.parse(String(init?.body))
+      return Response.json({
+        id: "response-1",
+        created: 0,
+        model: "openai/gpt-oss-120b",
+        object: "chat.completion",
+        choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
+        usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
+      })
+    },
+    { preconnect: fetch.preconnect },
+  )
+  const model = createGroq({ apiKey: "test", fetch: mockFetch })("openai/gpt-oss-120b")
+
+  await model.doGenerate({
+    prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
+    providerOptions: { groq: { reasoningEffort: "custom" } },
+  })
+
+  expect(body?.reasoning_effort).toBe("custom")
+})

packages/core/test/provider-mistral.test.ts

@@ -27,6 +27,32 @@ test("Mistral sends promptCacheKey as prompt_cache_key", async () => {
   expect(body?.prompt_cache_key).toBe("session-123")
 })
 
+test("Mistral passes through unknown reasoning effort", async () => {
+  let body: Record<string, unknown> | undefined
+  const mockFetch = Object.assign(
+    async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+      body = JSON.parse(String(init?.body))
+      return Response.json({
+        id: "response-1",
+        created: 0,
+        model: "mistral-large-latest",
+        object: "chat.completion",
+        choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
+        usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
+      })
+    },
+    { preconnect: fetch.preconnect },
+  )
+  const model = createMistral({ apiKey: "test", fetch: mockFetch })("mistral-large-latest")
+
+  await model.doGenerate({
+    prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
+    providerOptions: { mistral: { reasoningEffort: "custom" } },
+  })
+
+  expect(body?.reasoning_effort).toBe("custom")
+})
+
 test("Mistral round-trips native reasoning in assistant history", async () => {
   let body: { messages?: unknown[] } | undefined
   const mockFetch = Object.assign(

packages/core/test/provider-xai-responses.test.ts

@@ -30,3 +30,56 @@ test("xAI Responses sends promptCacheKey as prompt_cache_key", async () => {
 
   expect(body?.prompt_cache_key).toBe("session-123")
 })
+
+test("xAI Responses passes through xhigh reasoning effort", async () => {
+  let body: Record<string, unknown> | undefined
+  const mockFetch = Object.assign(
+    async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+      body = JSON.parse(String(init?.body))
+      return Response.json({
+        id: "response-1",
+        created_at: 0,
+        model: "grok-4",
+        object: "response",
+        output: [],
+        usage: { input_tokens: 1, output_tokens: 0 },
+        status: "completed",
+      })
+    },
+    { preconnect: fetch.preconnect },
+  )
+  const model = createXai({ apiKey: "test", fetch: mockFetch }).responses("grok-4")
+
+  await model.doGenerate({
+    prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
+    providerOptions: { xai: { reasoningEffort: "xhigh" } },
+  })
+
+  expect(body?.reasoning).toEqual({ effort: "xhigh" })
+})
+
+test("xAI Chat passes through xhigh reasoning effort", async () => {
+  let body: Record<string, unknown> | undefined
+  const mockFetch = Object.assign(
+    async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+      body = JSON.parse(String(init?.body))
+      return Response.json({
+        id: "chat-1",
+        created: 0,
+        model: "grok-4",
+        object: "chat.completion",
+        choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
+        usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
+      })
+    },
+    { preconnect: fetch.preconnect },
+  )
+  const model = createXai({ apiKey: "test", fetch: mockFetch }).chat("grok-4")
+
+  await model.doGenerate({
+    prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
+    providerOptions: { xai: { reasoningEffort: "xhigh" } },
+  })
+
+  expect(body?.reasoning_effort).toBe("xhigh")
+})

packages/core/test/ripgrep.test.ts

@@ -62,4 +62,24 @@ describe("Ripgrep", () => {
       (tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
     ),
   )
+  it.live("does not split surrogate pairs in oversized line previews", () =>
+    Effect.acquireUseRelease(
+      Effect.promise(() => tmpdir()),
+      (tmp) =>
+        Effect.gen(function* () {
+          yield* Effect.promise(() =>
+            fs.writeFile(path.join(tmp.path, "unicode.txt"), `needle${"x".repeat(1_993)}😀\n`),
+          )
+
+          const matches = yield* (yield* Ripgrep.Service).grep({
+            cwd: tmp.path,
+            pattern: "needle",
+            limit: 10,
+          })
+
+          expect(matches[0]?.text).toBe(`needle${"x".repeat(1_993)}...`)
+        }),
+      (tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
+    ),
+  )
 })

packages/core/test/session-compaction.test.ts

@@ -4,12 +4,32 @@ import { SessionCompaction } from "@opencode-ai/core/session/compaction"
 test("compaction prompt preserves detailed work state and relevant files", () => {
   const prompt = SessionCompaction.buildPrompt({ context: ["conversation history"] })
 
+  expect(prompt).toStartWith(
+    "Here is the conversation so far:\n\n<conversation>\nconversation history\n</conversation>",
+  )
+  expect(prompt.indexOf("</conversation>")).toBeLessThan(prompt.indexOf("Create a new anchored summary"))
+  expect(prompt).toContain("conversation history in the <conversation> tags above")
   expect(prompt).toContain("## Work State\n### Completed")
   expect(prompt).toContain("### Active")
   expect(prompt).toContain("### Blocked")
   expect(prompt).toContain("## Relevant Files")
 })
 
+test("compaction prompt gives update instructions for a prior summary", () => {
+  const prompt = SessionCompaction.buildPrompt({
+    context: ["new conversation"],
+    previousSummary: "existing summary",
+  })
+
+  expect(prompt.indexOf("<conversation>")).toBeLessThan(prompt.indexOf("<prior-summary>"))
+  expect(prompt.indexOf("</prior-summary>")).toBeLessThan(prompt.indexOf("The <prior-summary> summarizes"))
+  expect(prompt).toContain(
+    "Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary>",
+  )
+  expect(prompt).toContain('Move completed work from "Active" to "Completed".')
+  expect(prompt).toContain('Update "Objective" and "Next Move" to reflect the current work state.')
+})
+
 test("compaction describes tool media without embedding base64", () => {
   const base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAAB"
   const serialized = SessionCompaction.serializeToolContent([

packages/core/test/session-projector.test.ts

@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { DateTime, Effect, Schema } from "effect"
-import { asc, eq } from "drizzle-orm"
+import { asc, eq, sql } from "drizzle-orm"
 import { Database } from "@opencode-ai/core/database/database"
 import { LayerNode } from "@opencode-ai/core/effect/layer-node"
 import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
@@ -22,6 +22,7 @@ import { SessionInput } from "@opencode-ai/core/session/input"
 import { SessionInputTable, SessionMessageTable, SessionTable } from "@opencode-ai/core/session/sql"
 import { testEffect } from "./lib/effect"
 import { Snapshot } from "@opencode-ai/core/snapshot"
+import { Location } from "@opencode-ai/core/location"
 
 const it = testEffect(AppNodeBuilder.build(LayerNode.group([Database.node, EventV2.node, SessionProjector.node])))
 const sessionsLayer = AppNodeBuilder.build(SessionV2.node, [[SessionExecution.node, SessionExecution.noopLayer]])
@@ -44,6 +45,39 @@ const assistantRow = (
 }
 
 describe("SessionProjector", () => {
+  it.effect("projects moved sessions without the transitional context epoch table", () =>
+    Effect.gen(function* () {
+      const { db } = yield* Database.Service
+      const events = yield* EventV2.Service
+      yield* db
+        .insert(ProjectTable)
+        .values({ id: Project.ID.global, worktree: AbsolutePath.make("/project"), sandboxes: [] })
+        .run()
+      yield* db
+        .insert(SessionTable)
+        .values({
+          id: sessionID,
+          project_id: Project.ID.global,
+          slug: "test",
+          directory: "/project",
+          title: "test",
+          version: "test",
+        })
+        .run()
+      yield* db.run(sql`DROP TABLE session_context_epoch`)
+
+      yield* events.publish(SessionEvent.Moved, {
+        sessionID,
+        timestamp: DateTime.makeUnsafe(1),
+        location: Location.Ref.make({ directory: AbsolutePath.make("/project/subdir") }),
+      })
+
+      expect(yield* db.select({ directory: SessionTable.directory }).from(SessionTable).get()).toEqual({
+        directory: "/project/subdir",
+      })
+    }),
+  )
+
   it.effect("projects staged, cleared, and committed reverts", () =>
     Effect.gen(function* () {
       const db = (yield* Database.Service).db

packages/core/test/session-runner.test.ts

@@ -703,13 +703,6 @@ describe("SessionRunnerLLM", () => {
         timestamp: DateTime.makeUnsafe(1),
         location: Location.Ref.make({ directory: AbsolutePath.make("/moved") }),
       })
-      expect(
-        yield* db
-          .select()
-          .from(SessionContextEpochTable)
-          .where(eq(SessionContextEpochTable.session_id, sessionID))
-          .get(),
-      ).toBeUndefined()
 
       yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Second" }), resume: false })
       const exit = yield* session.resume(sessionID).pipe(Effect.exit)
@@ -1135,7 +1128,7 @@ describe("SessionRunnerLLM", () => {
 
       expect(requests).toHaveLength(2)
       expect(userTexts(requests[0])[0]).toContain(
-        "<previous-summary>\n## Objective\n- Preserve the task\n</previous-summary>",
+        "<prior-summary>\n## Objective\n- Preserve the task\n</prior-summary>",
       )
       expect(userTexts(requests[0])[0]).toContain("Recent exact request")
       expect((yield* (yield* SessionStore.Service).context(sessionID))[0]).toMatchObject({
@@ -1145,6 +1138,67 @@ describe("SessionRunnerLLM", () => {
     }),
   )
 
+  it.effect("retains only complete serialized messages during compaction", () =>
+    Effect.gen(function* () {
+      yield* setup
+      const session = yield* SessionV2.Service
+      const earlier = `EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`
+      const recent = `RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`
+      response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
+      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: earlier }), resume: false })
+      yield* session.resume(sessionID)
+
+      currentModel = compactModel
+      requests.length = 0
+      responses = [
+        fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
+        fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
+      ]
+      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: recent }), resume: false })
+      yield* session.resume(sessionID)
+
+      expect(requests).toHaveLength(2)
+      const summary = userTexts(requests[0])[0]
+      const continuation = userTexts(requests[1])[0]
+      expect(summary.match(/EARLIER_BOUNDARY/g)).toHaveLength(1)
+      expect(summary).toContain(`EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`)
+      expect(summary).not.toContain("RECENT_BOUNDARY")
+      expect(continuation).not.toContain("EARLIER_BOUNDARY")
+      expect(continuation).not.toContain("EARLIER_END")
+      expect(continuation).toContain("<recent-context>\n[Assistant]: Earlier answer")
+      expect(continuation).toContain(`RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`)
+    }),
+  )
+
+  it.effect("summarizes an oversized newest message without retaining a fragment", () =>
+    Effect.gen(function* () {
+      yield* setup
+      const session = yield* SessionV2.Service
+      response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
+      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Earlier question" }), resume: false })
+      yield* session.resume(sessionID)
+
+      const oversized = `OVERSIZED_BOUNDARY ${"x".repeat(4_500)} OVERSIZED_END`
+      currentModel = compactModel
+      requests.length = 0
+      responses = [
+        fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
+        fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
+      ]
+      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: oversized }), resume: false })
+      yield* session.resume(sessionID)
+
+      expect(requests).toHaveLength(2)
+      const summary = userTexts(requests[0])[0]
+      const continuation = userTexts(requests[1])[0]
+      expect(summary.match(/OVERSIZED_BOUNDARY/g)).toHaveLength(1)
+      expect(summary).toContain(oversized)
+      expect(continuation).not.toContain("OVERSIZED_BOUNDARY")
+      expect(continuation).not.toContain("OVERSIZED_END")
+      expect(continuation).toContain("<recent-context>\n\n</recent-context>")
+    }),
+  )
+
   it.effect("forces one compaction and retries after provider context overflow", () =>
     Effect.gen(function* () {
       const session = yield* setupOverflowRecovery

packages/desktop/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@opencode-ai/desktop",
   "private": true,
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "homepage": "https://opencode.ai",

packages/desktop/src/main/index.ts

@@ -6,7 +6,7 @@ import { homedir, tmpdir } from "node:os"
 import { join } from "node:path"
 import { getCACertificates, setDefaultCACertificates } from "node:tls"
 import type { Event } from "electron"
-import { app } from "electron"
+import { app, BrowserWindow } from "electron"
 
 import { Deferred, Effect, Fiber } from "effect"
 import contextMenu from "electron-context-menu"
@@ -408,6 +408,15 @@ const main = Effect.gen(function* () {
 
   yield* Fiber.await(loadingTask)
 
+  app.on("window-all-closed", () => {
+    if (process.platform === "darwin") return
+    app.quit()
+  })
+  app.on("activate", () => {
+    if (BrowserWindow.getAllWindows().length > 0) return
+    restoreMainWindows()
+  })
+
   const windows = restoreMainWindows()
   if (windows.length) createMenu(menuDeps)
 })

packages/effect-drizzle-sqlite/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "name": "@opencode-ai/effect-drizzle-sqlite",
   "type": "module",
   "license": "MIT",

packages/effect-sqlite-node/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "name": "@opencode-ai/effect-sqlite-node",
   "type": "module",
   "license": "MIT",

packages/enterprise/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/enterprise",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/function/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/function",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "$schema": "https://json.schemastore.org/package.json",
   "private": true,
   "type": "module",

packages/http-recorder/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "name": "@opencode-ai/http-recorder",
   "description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
   "type": "module",

packages/llm/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "name": "@opencode-ai/llm",
   "type": "module",
   "license": "MIT",

packages/opencode/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "name": "opencode",
   "type": "module",
   "license": "MIT",
@@ -111,7 +111,7 @@
     "@types/ws": "8.18.1",
     "@zip.js/zip.js": "2.7.62",
     "ai": "catalog:",
-    "ai-gateway-provider": "3.1.2",
+    "ai-gateway-provider": "3.2.0",
     "bonjour-service": "1.3.0",
     "chokidar": "4.0.3",
     "cross-spawn": "catalog:",

packages/opencode/src/agent/prompt/compaction.txt

@@ -1,9 +1,5 @@
-You are an anchored context summarization assistant for coding sessions.
-
-Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
-
-If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
+You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
 
 Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
 
-Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.
+Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.

packages/opencode/src/config/parse.ts

@@ -37,22 +37,11 @@ export function schema<S extends EffectSchema.Decoder<unknown, never>>(
   data: unknown,
   source: string,
 ): DeepMutable<S["Type"]> {
-  const extra = topLevelExtraKeys(schema, data)
-  if (extra.length) {
-    throw new InvalidError({
-      path: source,
-      issues: [
-        {
-          code: "unrecognized_keys",
-          keys: extra,
-          path: [],
-          message: `Unrecognized key${extra.length === 1 ? "" : "s"}: ${extra.join(", ")}`,
-        },
-      ],
-    })
-  }
-
-  const decoded = EffectSchema.decodeUnknownExit(schema)(data, { errors: "all", propertyOrder: "original" })
+  const decoded = EffectSchema.decodeUnknownExit(schema)(data, {
+    errors: "all",
+    onExcessProperty: "ignore",
+    propertyOrder: "original",
+  })
   if (Exit.isSuccess(decoded)) return decoded.value as DeepMutable<S["Type"]>
   const error = Cause.squash(decoded.cause)
 
@@ -70,10 +59,3 @@ export function schema<S extends EffectSchema.Decoder<unknown, never>>(
     { cause: error },
   )
 }
-
-function topLevelExtraKeys(schema: EffectSchema.Top, data: unknown) {
-  if (typeof data !== "object" || data === null || Array.isArray(data)) return []
-  if (schema.ast._tag !== "Objects" || schema.ast.indexSignatures.length > 0) return []
-  const known = new Set(schema.ast.propertySignatures.map((item) => String(item.name)))
-  return Object.keys(data).filter((key) => !known.has(key))
-}

packages/opencode/src/control-plane/workspace.ts

@@ -714,6 +714,7 @@ const layer = Layer.effect(
     })
 
     const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
+      if (!flags.experimentalWorkspaces) return []
       return (yield* db
         .select()
         .from(WorkspaceTable)
@@ -851,6 +852,7 @@ const layer = Layer.effect(
     })
 
     const startWorkspaceSyncing = Effect.fn("Workspace.startWorkspaceSyncing")(function* (projectID: ProjectV2.ID) {
+      if (!flags.experimentalWorkspaces) return
       const rows = yield* db
         .selectDistinct({ workspace: WorkspaceTable })
         .from(WorkspaceTable)

packages/opencode/src/plugin/github-copilot/models.ts

@@ -88,6 +88,9 @@ function build(key: string, remote: SelectableItem, url: string, prev?: Model):
   const image =
     (remote.capabilities.supports.vision ?? false) ||
     (remote.capabilities.limits.vision?.supported_media_types ?? []).some((item) => item.startsWith("image/"))
+  const pdf =
+    (remote.capabilities.supports.vision ?? false) &&
+    (remote.capabilities.limits.vision?.supported_media_types?.includes("application/pdf") ?? false)
 
   const isMsgApi = remote.supported_endpoints?.includes("/v1/messages")
   const endpoint: CopilotEndpoint | undefined = isMsgApi
@@ -127,7 +130,7 @@ function build(key: string, remote: SelectableItem, url: string, prev?: Model):
         audio: false,
         image,
         video: false,
-        pdf: false,
+        pdf,
       },
       output: {
         text: true,

packages/opencode/src/provider/transform.ts

@@ -84,6 +84,8 @@ function sdkKey(npm: string): string | undefined {
       return "gateway"
     case "@openrouter/ai-sdk-provider":
       return "openrouter"
+    case "merge-gateway-ai-sdk-provider":
+      return "mergeGateway"
     case "ai-gateway-provider":
       // ai-gateway-provider/unified wraps createOpenAICompatible({ name: "Unified" }),
       // and @ai-sdk/openai-compatible parses compatibleOptions from one of
@@ -551,6 +553,12 @@ export function topP(model: Provider.Model) {
   if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
     return 0.95
   }
+  if (
+    ["deepseek-v4-flash-0731", "deepseek-v4-flash:0731"].some((name) => id.includes(name)) ||
+    (id.includes("deepseek-v4-flash") && (model.providerID === "deepseek" || model.providerID.startsWith("opencode")))
+  ) {
+    return 0.95
+  }
   return undefined
 }
 
@@ -1766,6 +1774,7 @@ function reasoningEffort(model: Provider.Model, effort: string) {
     case "@ai-sdk/togetherai":
     case "venice-ai-sdk-provider":
     case "ai-gateway-provider":
+    case "merge-gateway-ai-sdk-provider":
       return { reasoningEffort: effort }
     case "@ai-sdk/cohere":
     case "@ai-sdk/perplexity":

packages/opencode/src/session/compaction.ts

@@ -29,9 +29,8 @@ export const PRUNE_MINIMUM = 20_000
 export const PRUNE_PROTECT = 40_000
 const TOOL_OUTPUT_MAX_CHARS = 2_000
 const PRUNE_PROTECTED_TOOLS = ["skill"]
-const DEFAULT_TAIL_TURNS = 2
 const MIN_PRESERVE_RECENT_TOKENS = 2_000
-const MAX_PRESERVE_RECENT_TOKENS = 8_000
+const MAX_PRESERVE_RECENT_TOKENS = 15_000
 type Turn = {
   start: number
   end: number
@@ -226,27 +225,22 @@ const layer = Layer.effect(
       cfg: ConfigV1.Info
       model: Provider.Model
     }) {
-      const limit = input.cfg.compaction?.tail_turns ?? DEFAULT_TAIL_TURNS
-      if (limit <= 0) return { head: input.messages, tail_start_id: undefined }
+      const limit = input.cfg.compaction?.tail_turns
+      if (limit !== undefined && limit <= 0) return { head: input.messages, tail_start_id: undefined }
       const budget = preserveRecentBudget({ cfg: input.cfg, model: input.model })
       const all = turns(input.messages)
       if (!all.length) return { head: input.messages, tail_start_id: undefined }
-      const recent = all.slice(-limit)
-      const sizes = yield* Effect.forEach(
-        recent,
-        (turn) =>
-          estimate({
-            messages: input.messages.slice(turn.start, turn.end),
-            model: input.model,
-          }),
-        { concurrency: 1 },
-      )
+      const recent = limit === undefined ? all : all.slice(-limit)
 
       let total = 0
       let keep: Tail | undefined
       for (let i = recent.length - 1; i >= 0; i--) {
         const turn = recent[i]!
-        const size = sizes[i]
+        // estimate lazily so cost stays proportional to the retained tail, not the whole session
+        const size = yield* estimate({
+          messages: input.messages.slice(turn.start, turn.end),
+          model: input.model,
+        })
         if (total + size <= budget) {
           total += size
           keep = { start: turn.start, id: turn.id }
@@ -381,10 +375,20 @@ const layer = Layer.effect(
         { sessionID: input.sessionID },
         { context: [], prompt: undefined },
       )
-      const nextPrompt = compacting.prompt ?? buildPrompt({ previousSummary, context: compacting.context })
       const msgs = structuredClone(selected.head)
       yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
       const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
+      const nextPrompt =
+        compacting.prompt ??
+        [
+          buildPrompt({
+            previousSummary,
+            context: [conversation],
+          }),
+          ...compacting.context,
+        ]
+          .filter(Boolean)
+          .join("\n\n")
       const ctx = yield* InstanceState.context
       const msg: SessionV1.Assistant = {
         id: MessageID.ascending(),
@@ -430,7 +434,10 @@ const layer = Layer.effect(
             content: [
               {
                 type: "text",
-                text: [nextPrompt, "The following is the conversation history:", conversation]
+                text: [
+                  nextPrompt,
+                  ...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
+                ]
                   .filter(Boolean)
                   .join("\n\n"),
               },

packages/opencode/src/session/prompt/meta.txt

@@ -1,4 +1,4 @@
-You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by Muse Spark, a large language model trained by Meta MSL.
+You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by {{MODEL_NAME}}, a large language model trained by Meta MSL.
 
 Use the instructions below and the tools available to assist the user.
 
@@ -61,5 +61,5 @@ Use the instructions below and the tools available to assist the user.
 - NEVER use comments as a place for long-winded chain-of-thought. Long thinking texts must be generated as private reasoning. Comments in code must be appropriately concise.
 
 # User Help & Feedback
-- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta Muse Spark.
+- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta {{MODEL_NAME}}.
 - When users ask directly about OpenCode (eg. "can OpenCode do...", "are you able to do...") or its features (eg. implement a hook, write a slash command, or install an MCP server), use the WebFetch tool to gather information to answer the question from the OpenCode docs at https://opencode.ai/docs.

packages/opencode/src/session/retry.ts

@@ -25,8 +25,10 @@ export type Retryable = {
 
 export const RETRY_INITIAL_DELAY = 2000
 export const RETRY_BACKOFF_FACTOR = 2
+export const RETRY_JITTER_FACTOR = 0.25
 export const RETRY_MAX_DELAY_NO_HEADERS = 30_000 // 30 seconds
 export const RETRY_MAX_DELAY = 2_147_483_647 // max 32-bit signed integer for setTimeout
+export const RETRY_MAX_RETRIES = 5
 
 const RETRYABLE_MESSAGE_PATTERNS = [
   /429|500|502|503|504|524/i,
@@ -41,7 +43,7 @@ function cap(ms: number) {
   return Math.min(ms, RETRY_MAX_DELAY)
 }
 
-export function delay(attempt: number, error?: SessionV1.APIError) {
+export function delay(attempt: number, error?: SessionV1.APIError, random = Math.random()) {
   if (error) {
     const headers = error.data.responseHeaders
     if (headers) {
@@ -67,11 +69,16 @@ export function delay(attempt: number, error?: SessionV1.APIError) {
         }
       }
 
-      return cap(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1))
+      return cap(exponential(attempt, random))
     }
   }
 
-  return cap(Math.min(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1), RETRY_MAX_DELAY_NO_HEADERS))
+  return cap(Math.min(exponential(attempt, random), RETRY_MAX_DELAY_NO_HEADERS))
+}
+
+function exponential(attempt: number, random: number) {
+  const base = RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1)
+  return Math.ceil(base + base * RETRY_JITTER_FACTOR * random)
 }
 
 export function retryable(error: Err, provider: string) {
@@ -182,6 +189,7 @@ export function policy(opts: {
       const error = opts.parse(meta.input)
       const retry = retryable(error, opts.provider)
       if (!retry) return Cause.done(meta.attempt)
+      if (meta.attempt > RETRY_MAX_RETRIES) return Cause.done(meta.attempt)
       return Effect.gen(function* () {
         const wait = delay(meta.attempt, SessionV1.APIError.isInstance(error) ? error : undefined)
         const now = yield* Clock.currentTimeMillis

packages/opencode/src/session/system.ts

@@ -25,7 +25,10 @@ import { MCP } from "@/mcp"
 import { PermissionV1 } from "@opencode-ai/core/v1/permission"
 
 export function provider(model: Provider.Model) {
-  if (model.api.id.includes("muse-spark")) return [PROMPT_META]
+  if (model.api.id.includes("muse")) {
+    const name = model.api.id.includes("muse-glimmer") ? "Muse Glimmer" : "Muse Spark"
+    return [PROMPT_META.replaceAll("{{MODEL_NAME}}", name)]
+  }
   if (model.api.id.includes("gpt-4") || model.api.id.includes("o1") || model.api.id.includes("o3"))
     return [PROMPT_BEAST]
   if (model.api.id.includes("gpt")) {
@@ -37,7 +40,11 @@ export function provider(model: Provider.Model) {
   if (model.api.id.includes("gemini-")) return [PROMPT_GEMINI]
   if (model.api.id.includes("claude")) return [PROMPT_ANTHROPIC]
   if (model.api.id.toLowerCase().includes("trinity")) return [PROMPT_TRINITY]
-  if (model.api.id.toLowerCase().includes("kimi")) return [PROMPT_KIMI]
+  if (
+    model.api.id.toLowerCase().includes("kimi") ||
+    ["kimi-for-coding", "moonshotai", "moonshotai-cn"].includes(model.providerID)
+  )
+    return [PROMPT_KIMI]
   return [PROMPT_DEFAULT]
 }
 

packages/opencode/src/tool/registry.ts

@@ -56,7 +56,12 @@ import { PermissionV1 } from "@opencode-ai/core/v1/permission"
 import { McpCatalog } from "@/mcp/catalog"
 
 export function webSearchEnabled(providerID: ProviderV2.ID, flags = { exa: false, parallel: false }) {
-  return providerID === ProviderV2.ID.opencode || flags.exa || flags.parallel
+  return (
+    providerID === ProviderV2.ID.opencode ||
+    providerID === ProviderV2.ID.make("opencode-go") ||
+    flags.exa ||
+    flags.parallel
+  )
 }
 
 type TaskDef = Tool.InferDef<typeof TaskTool>

packages/opencode/test/config/config.test.ts

@@ -597,12 +597,12 @@ accountTokenIt.instance("resolves env templates in account config with account t
   }),
 )
 
-it.instance("validates config schema and throws on invalid fields", () =>
+it.instance("validates config schema and throws on invalid values", () =>
   Effect.gen(function* () {
     const test = yield* TestInstance
     yield* writeConfigEffect(test.directory, {
       $schema: "https://opencode.ai/config.json",
-      invalid_field: "should cause error",
+      model: 42,
     })
     const exit = yield* Config.use.get().pipe(Effect.exit)
     expect(Exit.isFailure(exit)).toBe(true)
@@ -1331,7 +1331,7 @@ it.instance("permission config preserves user key order", () =>
   }),
 )
 
-test("config parser preserves permission order while rejecting unknown top-level keys", () => {
+test("config parser preserves permission order while ignoring unknown top-level keys", () => {
   const config = ConfigParse.schema(
     ConfigV1.Info,
     {
@@ -1340,18 +1340,13 @@ test("config parser preserves permission order while rejecting unknown top-level
         "*": "deny",
         edit: "ask",
       },
+      plugins: ["example"],
     },
     "test",
   )
 
   expect(Object.keys(config.permission!)).toEqual(["bash", "*", "edit"])
-  try {
-    ConfigParse.schema(ConfigV1.Info, { invalid_field: true }, "test")
-    throw new Error("expected config parse to fail")
-  } catch (err) {
-    const error = err as { data?: { issues?: Array<{ code?: string; keys?: string[]; path?: string[] }> } }
-    expect(error.data?.issues?.[0]).toMatchObject({ code: "unrecognized_keys", keys: ["invalid_field"], path: [] })
-  }
+  expect(config).not.toHaveProperty("plugins")
 })
 
 // MCP config merging tests

packages/opencode/test/control-plane/workspace.test.ts

@@ -8,6 +8,7 @@ import { Effect, Exit, Fiber, Layer, Schema } from "effect"
 import { HttpServer, HttpServerRequest, HttpServerResponse } from "effect/unstable/http"
 import { eq } from "drizzle-orm"
 import { GlobalBus, type GlobalEvent } from "@/bus/global"
+import { Project } from "@/project/project"
 import { Database } from "@opencode-ai/core/database/database"
 import { ProjectV2 } from "@opencode-ai/core/project"
 import { ProjectTable } from "@opencode-ai/core/project/sql"
@@ -133,6 +134,9 @@ const startWorkspaceSyncingWithFlag = (projectID: ProjectV2.ID, experimentalWork
     Workspace.use.startWorkspaceSyncing(projectID).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))),
   )
 
+const listWithFlag = (project: Project.Info, experimentalWorkspaces: boolean) =>
+  Effect.runPromise(Workspace.use.list(project).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))))
+
 function captureGlobalEvents() {
   const events: GlobalEvent[] = []
   const handler = (event: GlobalEvent) => events.push(event)
@@ -417,6 +421,18 @@ describe("workspace CRUD", () => {
     { git: true },
   )
 
+  it.instance(
+    "list is disabled by the experimental workspace flag",
+    () =>
+      Effect.gen(function* () {
+        const instance = yield* requireInstance
+        yield* insertWorkspace(workspaceInfo(instance.project.id, "manual"))
+
+        expect(yield* Effect.promise(() => listWithFlag(instance.project, false))).toEqual([])
+      }),
+    { git: true },
+  )
+
   it.instance(
     "create configures, persists, creates, starts local sync, and passes environment",
     () =>

packages/opencode/test/plugin/github-copilot-models.test.ts

@@ -187,6 +187,74 @@ test("converts Copilot AIC token prices to USD per million tokens", async () =>
   expect(models["ignored-non-chat-record"]).toBeUndefined()
 })
 
+test("detects PDF input support when vision and media type are advertised", async () => {
+  globalThis.fetch = mock(() =>
+    Promise.resolve(
+      new Response(
+        JSON.stringify({
+          data: [
+            {
+              model_picker_enabled: true,
+              id: "pdf-model",
+              name: "PDF Model",
+              version: "pdf-model-2026-06-01",
+              capabilities: {
+                family: "pdf-model",
+                limits: {
+                  max_context_window_tokens: 128000,
+                  max_output_tokens: 16384,
+                  max_prompt_tokens: 128000,
+                  vision: {
+                    max_prompt_image_size: 10000000,
+                    max_prompt_images: 10,
+                    supported_media_types: ["application/pdf"],
+                  },
+                },
+                supports: {
+                  streaming: true,
+                  vision: true,
+                  tool_calls: true,
+                },
+              },
+            },
+            {
+              model_picker_enabled: true,
+              id: "vision-only-model",
+              name: "Vision Only Model",
+              version: "vision-only-model-2026-06-01",
+              capabilities: {
+                family: "vision-only-model",
+                limits: {
+                  max_context_window_tokens: 128000,
+                  max_output_tokens: 16384,
+                  max_prompt_tokens: 128000,
+                  vision: {
+                    max_prompt_image_size: 10000000,
+                    max_prompt_images: 10,
+                    supported_media_types: ["image/png"],
+                  },
+                },
+                supports: {
+                  streaming: true,
+                  vision: true,
+                  tool_calls: true,
+                },
+              },
+            },
+          ],
+        }),
+        { status: 200 },
+      ),
+    ),
+  ) as unknown as typeof fetch
+
+  const models = (await CopilotModels.get("https://api.githubcopilot.com")).models
+  const model = models["pdf-model"]
+
+  expect(model.capabilities.input.pdf).toBe(true)
+  expect(models["vision-only-model"].capabilities.input.pdf).toBe(false)
+})
+
 test("uses zero cost when Copilot reports a zero billing batch size", async () => {
   globalThis.fetch = mock(() =>
     Promise.resolve(

packages/opencode/test/provider/provider.test.ts

@@ -1548,6 +1548,33 @@ test("models.dev reasoning options replace generated variants and unsupported to
   expect(models["gemini-3-pro-fast"].variants).toEqual(models.override.variants)
 })
 
+test("MERGE Gateway exposes declared effort variants without model-specific handling", () => {
+  const provider = {
+    id: "merge-gateway",
+    name: "MERGE Gateway",
+    env: ["MERGE_GATEWAY_API_KEY"],
+    npm: "merge-gateway-ai-sdk-provider",
+    models: {
+      "openai/gpt-5.6-sol": {
+        id: "openai/gpt-5.6-sol",
+        name: "GPT-5.6 Sol",
+        reasoning: true,
+        reasoning_options: [{ type: "effort", values: ["none", "low", "medium", "high", "xhigh", "max"] }],
+        limit: { context: 128_000, output: 64_000 },
+      },
+    },
+  } as unknown as ModelsDev.Provider
+
+  expect(Provider.fromModelsDevProvider(provider).models["openai/gpt-5.6-sol"].variants).toEqual({
+    none: { reasoningEffort: "none" },
+    low: { reasoningEffort: "low" },
+    medium: { reasoningEffort: "medium" },
+    high: { reasoningEffort: "high" },
+    xhigh: { reasoningEffort: "xhigh" },
+    max: { reasoningEffort: "max" },
+  })
+})
+
 test("public provider info omits invalid models", () => {
   const provider = Provider.fromModelsDevProvider({
     id: "test",

packages/opencode/test/provider/transform.test.ts

@@ -3272,6 +3272,37 @@ describe("ProviderTransform sampling defaults - Gemini", () => {
   })
 })
 
+describe("ProviderTransform sampling defaults - DeepSeek", () => {
+  const model = (providerID: string, id: string) =>
+    ({
+      id: `${providerID}/${id}`,
+      providerID,
+      api: { id },
+    }) as any
+
+  test.each([
+    ["deepseek", "deepseek-v4-flash"],
+    ["opencode", "deepseek-v4-flash"],
+    ["opencode-go", "deepseek-v4-flash"],
+    ["openrouter", "deepseek/deepseek-v4-flash-0731"],
+    ["ollama-cloud", "deepseek-v4-flash:0731"],
+  ])("defaults top_p for %s/%s", (providerID, id) => {
+    expect(ProviderTransform.temperature(model(providerID, id))).toBeUndefined()
+    expect(ProviderTransform.topP(model(providerID, id))).toBe(0.95)
+    expect(ProviderTransform.topK(model(providerID, id))).toBeUndefined()
+  })
+
+  test.each([
+    ["openrouter", "deepseek/deepseek-v4-flash"],
+    ["vercel", "deepseek/deepseek-v4-flash"],
+    ["custom", "deepseek-ai/DeepSeek-V4-Flash"],
+  ])("preserves legacy defaults for %s/%s", (providerID, id) => {
+    expect(ProviderTransform.temperature(model(providerID, id))).toBeUndefined()
+    expect(ProviderTransform.topP(model(providerID, id))).toBeUndefined()
+    expect(ProviderTransform.topK(model(providerID, id))).toBeUndefined()
+  })
+})
+
 describe("ProviderTransform.reasoningVariants", () => {
   const model = (reasoning_options: ModelsDev.Model["reasoning_options"]) => ({ reasoning_options }) as ModelsDev.Model
   const target = (npm: string, id = "test-model") =>
@@ -3339,6 +3370,7 @@ describe("ProviderTransform.reasoningVariants", () => {
     ["@ai-sdk/togetherai", { reasoningEffort: "high" }],
     ["venice-ai-sdk-provider", { reasoningEffort: "high" }],
     ["ai-gateway-provider", { reasoningEffort: "high" }],
+    ["merge-gateway-ai-sdk-provider", { reasoningEffort: "high" }],
     ["@ai-sdk/amazon-bedrock", { reasoningConfig: { type: "enabled", maxReasoningEffort: "high" } }],
   ])("converts effort for %s", (npm, expected, ...args) => {
     const id = args[0] as string | undefined
@@ -5524,6 +5556,25 @@ describe("ProviderTransform.providerOptions - ai-gateway-provider", () => {
   })
 })
 
+describe("ProviderTransform.providerOptions - merge-gateway-ai-sdk-provider", () => {
+  const model = {
+    id: "merge-gateway/openai/gpt-5.6-sol",
+    providerID: "merge-gateway",
+    api: {
+      id: "openai/gpt-5.6-sol",
+      url: "https://api-gateway.merge.dev/v1/ai-sdk",
+      npm: "merge-gateway-ai-sdk-provider",
+    },
+    capabilities: { reasoning: true },
+  } as any
+
+  test("routes normalized effort under the adapter's mergeGateway key", () => {
+    expect(ProviderTransform.providerOptions(model, { reasoningEffort: "high" })).toEqual({
+      mergeGateway: { reasoningEffort: "high" },
+    })
+  })
+})
+
 describe("ProviderTransform.options - kimi family adaptive thinking", () => {
   const createModel = (overrides: Record<string, any> = {}) =>
     ({

packages/opencode/test/server/httpapi-instance-context.test.ts

@@ -161,6 +161,21 @@ describe("HttpApi instance context middleware", () => {
     }),
   )
 
+  it.live("persists the routed project while loading instance context", () =>
+    Effect.gen(function* () {
+      const dir = yield* tmpdirScoped({ git: true })
+      const project = yield* Project.Service
+      yield* serveProbe()
+
+      const response = yield* HttpClient.get(`/probe?directory=${encodeURIComponent(dir)}`)
+
+      expect(response.status).toBe(200)
+      const saved = (yield* project.list()).find((item) => item.worktree === dir)
+      expect(saved).toBeDefined()
+      expect(saved?.id).not.toBe("global")
+    }),
+  )
+
   it.live("falls back to the raw directory when URI decoding fails", () =>
     Effect.gen(function* () {
       yield* serveProbe()

packages/opencode/test/session/compaction.test.ts

@@ -365,6 +365,20 @@ function autocontinue(enabled: boolean) {
   })
 }
 
+function compactionContext(context: string) {
+  return Layer.mock(Plugin.Service)({
+    trigger: <Name extends string, Input, Output>(name: Name, _input: Input, output: Output) => {
+      if (name !== "experimental.session.compacting") return Effect.succeed(output)
+      return Effect.sync(() => {
+        ;(output as { context: string[] }).context.push(context)
+        return output
+      })
+    },
+    list: () => Effect.succeed([]),
+    init: () => Effect.void,
+  })
+}
+
 describe("session.compaction.isOverflow", () => {
   it.live(
     "returns true when token count exceeds usable context",
@@ -1389,11 +1403,21 @@ describe("session.compaction.process", () => {
         const captured = JSON.stringify(messages)
         expect(messages).toHaveLength(1)
         expect(messages[0]?.role).toBe("user")
+        expect(captured).toContain("Here is the conversation so far:")
+        expect(captured).toContain("<conversation>")
+        expect(captured.indexOf("[User]: older context")).toBeLessThan(
+          captured.indexOf("Create a new anchored summary"),
+        )
         expect(captured).toContain("[User]: older context")
         expect(captured).not.toContain("keep this turn")
         expect(captured).not.toContain("and this one too")
         expect(captured).not.toContain("What did we do so far?")
-      }).pipe(withCompaction({ llm: stub.llmLayer }))
+      }).pipe(
+        withCompaction({
+          llm: stub.llmLayer,
+          config: cfg({ tail_turns: 2, preserve_recent_tokens: 10_000 }),
+        }),
+      )
     },
     { git: true },
   )
@@ -1430,9 +1454,11 @@ describe("session.compaction.process", () => {
         expect(parent).toBeTruthy()
         yield* SessionCompaction.use.process({ parentID: parent!, messages: msgs, sessionID: session.id, auto: false })
 
-        expect(captured).toContain("<previous-summary>")
+        expect(captured).toContain("<prior-summary>")
         expect(captured).toContain("summary one")
         expect(captured.match(/summary one/g)?.length).toBe(1)
+        expect(captured.indexOf("latest turn")).toBeLessThan(captured.indexOf("<prior-summary>"))
+        expect(captured).toContain("summary of the conversation before the <conversation> above")
         expect(captured).toContain("## Important Details")
         expect(captured).toContain("## Work State")
       }).pipe(withCompaction({ llm: stub.llmLayer }))
@@ -1440,6 +1466,49 @@ describe("session.compaction.process", () => {
     { git: true },
   )
 
+  itCompaction.instance(
+    "keeps plugin context outside the serialized conversation",
+    () => {
+      const stub = llm()
+      let captured = ""
+      stub.push(
+        reply("summary", (input) => {
+          captured = JSON.stringify(input.messages)
+        }),
+      )
+
+      return Effect.gen(function* () {
+        const ssn = yield* SessionNs.Service
+        const session = yield* ssn.create({})
+        yield* createUserMessage(session.id, "older context")
+        yield* createUserMessage(session.id, "keep this turn")
+        yield* createUserMessage(session.id, "and this one too")
+        yield* createCompactionMarker(session.id)
+
+        const msgs = yield* ssn.messages({ sessionID: session.id })
+        const parent = msgs.at(-1)?.info.id
+        expect(parent).toBeTruthy()
+        yield* SessionCompaction.use.process({
+          parentID: parent!,
+          messages: msgs,
+          sessionID: session.id,
+          auto: false,
+        })
+
+        expect(captured).toContain("Prioritize unresolved migration details")
+        expect(captured.indexOf("</conversation>")).toBeLessThan(
+          captured.indexOf("Prioritize unresolved migration details"),
+        )
+      }).pipe(
+        withCompaction({
+          llm: stub.llmLayer,
+          plugin: compactionContext("Prioritize unresolved migration details"),
+        }),
+      )
+    },
+    { git: true },
+  )
+
   itCompaction.instance(
     "serializes repeated compaction history as one user message",
     () => {

packages/opencode/test/session/retry.test.ts

@@ -35,10 +35,18 @@ function wrap(message: unknown): ReturnType<NamedError["toObject"]> {
 describe("session.retry.delay", () => {
   test("caps delay at 30 seconds when headers missing", () => {
     const error = apiError()
-    const delays = Array.from({ length: 10 }, (_, index) => SessionRetry.delay(index + 1, error))
+    const delays = Array.from({ length: 10 }, (_, index) => SessionRetry.delay(index + 1, error, 0))
     expect(delays).toStrictEqual([2000, 4000, 8000, 16000, 30000, 30000, 30000, 30000, 30000, 30000])
   })
 
+  test("adds jitter to exponential delays", () => {
+    const error = apiError()
+    expect(SessionRetry.delay(1, error, 0)).toBe(2000)
+    expect(SessionRetry.delay(1, error, 1)).toBe(2500)
+    expect(SessionRetry.delay(4, error, 1)).toBe(20000)
+    expect(SessionRetry.delay(5, error, 1)).toBe(30000)
+  })
+
   test("prefers retry-after-ms when shorter than exponential", () => {
     const error = apiError({ "retry-after-ms": "1500" })
     expect(SessionRetry.delay(4, error)).toBe(1500)
@@ -59,18 +67,18 @@ describe("session.retry.delay", () => {
 
   test("ignores invalid retry hints", () => {
     const error = apiError({ "retry-after": "not-a-number" })
-    expect(SessionRetry.delay(1, error)).toBe(2000)
+    expect(SessionRetry.delay(1, error, 0)).toBe(2000)
   })
 
   test("ignores malformed date retry hints", () => {
     const error = apiError({ "retry-after": "Invalid Date String" })
-    expect(SessionRetry.delay(1, error)).toBe(2000)
+    expect(SessionRetry.delay(1, error, 0)).toBe(2000)
   })
 
   test("ignores past date retry hints", () => {
     const pastDate = new Date(Date.now() - 5000).toUTCString()
     const error = apiError({ "retry-after": pastDate })
-    expect(SessionRetry.delay(1, error)).toBe(2000)
+    expect(SessionRetry.delay(1, error, 0)).toBe(2000)
   })
 
   test("uses retry-after values even when exceeding 10 minutes with headers", () => {
@@ -115,6 +123,29 @@ describe("session.retry.delay", () => {
       })
     }),
   )
+
+  it.instance("policy stops after five retries", () =>
+    Effect.gen(function* () {
+      const attempts: number[] = []
+      const error = apiError({ "retry-after-ms": "0" })
+      const step = yield* Schedule.toStepWithMetadata(
+        SessionRetry.policy({
+          provider: "test",
+          parse: Schema.decodeUnknownSync(SessionV1.APIError.Schema),
+          set: (info) =>
+            Effect.sync(() => {
+              attempts.push(info.attempt)
+            }),
+        }),
+      )
+
+      yield* Effect.forEach(Array.from({ length: SessionRetry.RETRY_MAX_RETRIES + 1 }), () =>
+        Effect.ignore(step(error)),
+      )
+
+      expect(attempts).toStrictEqual([1, 2, 3, 4, 5])
+    }),
+  )
 })
 
 describe("session.retry.retryable", () => {

packages/opencode/test/session/system.test.ts

@@ -85,9 +85,28 @@ const it = testEffect(
 
 describe("session.system", () => {
   test("selects the Meta prompt for Muse Spark model IDs", () => {
-    expect(SystemPrompt.provider({ api: { id: "meta/muse-spark-preview" } } as Provider.Model)[0]).toContain(
-      "Meta Muse Spark",
-    )
+    for (const id of ["meta/muse-spark-preview", "muse-spark-1.1", "muse-spark-1.2"]) {
+      const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
+      expect(prompt).toContain("powered by Muse Spark,")
+      expect(prompt).toContain("using Meta Muse Spark.")
+      expect(prompt).not.toContain("{{MODEL_NAME}}")
+    }
+  })
+
+  test("selects the Meta prompt for Muse Glimmer model IDs", () => {
+    for (const id of ["meta/muse-glimmer", "meta/muse-glimmer-30b", "muse-glimmer-30b"]) {
+      const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
+      expect(prompt).toContain("powered by Muse Glimmer,")
+      expect(prompt).toContain("using Meta Muse Glimmer.")
+      expect(prompt).not.toContain("{{MODEL_NAME}}")
+    }
+  })
+
+  test("selects the Kimi prompt for official provider model IDs", () => {
+    for (const providerID of ["kimi-for-coding", "moonshotai", "moonshotai-cn"]) {
+      const prompt = SystemPrompt.provider({ providerID, api: { id: "k3" } } as Provider.Model)[0]
+      expect(prompt).toContain("# Prompt and Tool Use")
+    }
   })
 
   it.effect("skills output is sorted by name and stable across calls", () =>

packages/opencode/test/tool/websearch.test.ts

@@ -37,8 +37,9 @@ describe("websearch provider", () => {
     expect(selectWebSearchProvider(SESSION_ID, { exa: false, parallel: true })).toBe("parallel")
   })
 
-  test("is only enabled for opencode or explicit websearch provider flags", () => {
+  test("is enabled for OpenCode providers or explicit websearch provider flags", () => {
     expect(webSearchEnabled(ProviderV2.ID.opencode, { exa: false, parallel: false })).toBe(true)
+    expect(webSearchEnabled(ProviderV2.ID.make("opencode-go"), { exa: false, parallel: false })).toBe(true)
     expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: false })).toBe(false)
     expect(webSearchEnabled(ProviderV2.ID.openai, { exa: true, parallel: false })).toBe(true)
     expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: true })).toBe(true)

packages/plugin/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/plugin",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/sdk/js/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/sdk",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/server/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/server",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/session-ui/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/session-ui",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/session-ui/src/context/data.tsx

@@ -5,6 +5,10 @@ import { PreloadMultiFileDiffResult } from "@pierre/diffs/ssr"
 
 export type NormalizedProviderListResponse = {
   all: Map<string, Provider>
+  defaultModel?: {
+    providerID: string
+    modelID: string
+  } | null
   default: {
     [key: string]: string
   }

packages/slack/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/slack",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/stats/app/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/stats-app",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/stats/core/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/stats-core",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",
@@ -12,6 +12,7 @@
     "./database": "./src/database.ts",
     "./database/*": "./src/database/*.ts",
     "./domain/*": "./src/domain/*.ts",
+    "./r2-sql": "./src/r2-sql.ts",
     "./runtime": "./src/runtime.ts",
     "./stat-sync": "./src/stat-sync.ts"
   },

packages/stats/core/src/athena.ts

@@ -9,7 +9,7 @@ import { Effect, Layer } from "effect"
 import * as Context from "effect/Context"
 import { Resource } from "sst/resource"
 
-const ATHENA_MAX_POLL_ATTEMPTS = 300
+const ATHENA_MAX_POLL_ATTEMPTS = 900
 const ATHENA_PAGE_SIZE = 1000
 
 export type AthenaData = Record<string, string>

packages/stats/core/src/domain/inference.test.ts

@@ -1,5 +1,5 @@
 import { describe, expect, test } from "bun:test"
-import { toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
+import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
 import { modelAuthor, normalizeInferenceModel, statModel, statProvider } from "./model-normalization"
 
 describe("inference stat normalization", () => {
@@ -82,6 +82,55 @@ describe("inference stat normalization", () => {
       }),
     ).toMatchObject([{ period_key: "2026-W20" }])
   })
+
+  test("builds bounded R2 SQL queries for each day and week", () => {
+    const queries = buildStatsQueries(new Date("2026-08-10T00:00:00.000Z"), new Date("2026-08-12T12:00:00.000Z"), {
+      namespace: "inference",
+      table: "generation",
+      dataset: "zen",
+    })
+
+    expect(queries).toHaveLength(8)
+    expect(queries[0]).toContain("'week' AS grain")
+    expect(queries[0]).toContain("'2026-W33' AS period_key")
+    expect(queries[2]).toContain("'2026-08-10' AS period_key")
+    expect(queries[6]).toContain("'2026-08-12' AS period_key")
+    expect(queries[0]).toContain('FROM "inference"."generation"')
+    expect(queries[0]).toContain("event_type = 'generation.completed'")
+    expect(queries[0]).toContain("product = 'go'")
+    expect(queries[0]).toContain("LIMIT 10000")
+    expect(queries[0]).toContain("approx_distinct(session) AS sessions")
+    expect(queries[1]).toContain("'geo_model' ELSE 'geo'")
+    expect(queries[1]).toContain("0 AS sessions")
+  })
+
+  test("aligns periods to UTC calendar boundaries", () => {
+    const queries = buildStatsQueries(new Date("2026-06-17T15:56:00.000Z"), new Date("2026-06-19T15:56:00.000Z"), {
+      namespace: "inference",
+      table: "generation",
+      dataset: "zen",
+    })
+
+    expect(queries).toHaveLength(8)
+    expect(queries[0]).toContain("'2026-W25' AS period_key")
+    expect(queries[0]).toContain("started_at >= '2026-06-15T00:00:00.000Z'")
+    expect(queries[2]).toContain("'2026-06-17' AS period_key")
+    expect(queries[2]).toContain("started_at >= '2026-06-17T00:00:00.000Z'")
+    expect(queries[2]).toContain("started_at < '2026-06-18T00:00:00.000Z'")
+    expect(queries[6]).toContain("'2026-06-19' AS period_key")
+    expect(queries[6]).toContain("started_at < '2026-06-19T15:56:00.000Z'")
+  })
+
+  test("uses an exclusive live and legacy source handoff", () => {
+    const [query] = buildStatsQueries(new Date("2026-08-11T00:00:00.000Z"), new Date("2026-08-12T00:00:00.000Z"), {
+      namespace: "inference",
+      table: "generation",
+      dataset: "zen",
+    })
+
+    expect(query).toContain("(source = 'inference-legacy' AND started_at < '2026-08-11T10:57:48.186Z')")
+    expect(query).toContain("(source = 'inference' AND started_at >= '2026-08-11T10:57:48.186Z')")
+  })
 })
 
 function aggregate(model: string, provider: string) {

packages/stats/core/src/domain/inference.ts

@@ -1,5 +1,5 @@
 import { Resource } from "sst/resource"
-import type { AthenaData } from "../athena"
+import type { R2SqlData } from "../r2-sql"
 import type { GeoStatAggregate } from "./geo"
 import type { ModelStatAggregate } from "./model"
 import {
@@ -10,25 +10,80 @@ import {
   statProvider,
 } from "./model-normalization"
 import type { ProviderStatAggregate } from "./provider"
-import { normalizeCountry, normalizeTier, type StatBaseAggregate } from "./stat"
+import {
+  normalizeCountry,
+  normalizeTier,
+  periodKeyFor,
+  startOfIsoWeek,
+  startOfUtcDay,
+  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"
 
-// 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 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)`
   const aggregateColumns = `
-    COUNT(DISTINCT session) AS sessions,
+    ${distinctColumns},
     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,
@@ -38,65 +93,61 @@ export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
     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,
-    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,
+    null AS p50_duration_ms,
+    null AS p95_duration_ms,
     AVG(ttfb_ms) AS avg_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,
+    null AS p50_ttfb_ms,
+    null AS p95_ttfb_ms,
     AVG(output_tps) AS avg_output_tps,
-    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,
+    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,
     COUNT(*) AS sample_count`
 
   return `
 WITH normalized AS (
   SELECT
-    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,
+    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,
     COALESCE(NULLIF(user_id, ''), '') AS user_id,
-    status,
-    duration AS duration_ms,
-    time_to_first_byte AS ttfb_ms,
-    timestamp_first_byte,
-    timestamp_last_byte,
+    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,
     tokens_input,
     tokens_output,
     tokens_reasoning,
     tokens_cache_read,
-    tokens_cache_write_5m,
-    tokens_cache_write_1h,
-    cost_input_microcents,
-    cost_output_microcents,
-    cost_total_microcents,
-    cost_input,
-    cost_output,
-    cost_total,
-    source
+    tokens_cache_write,
+    cost_input AS cost_input_microcents,
+    cost_output AS cost_output_microcents,
+    cost_total AS cost_total_microcents
   FROM ${sourceTable}
-  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}
+  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 < ${periodEndValue}
 ), filtered AS (
   SELECT
-    event_time,
-    CASE
-      WHEN source = 'lite' THEN 'Go'
-      WHEN raw_model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR regexp_like(raw_model, '-free(:global)?$') THEN 'Free'
-      ELSE 'Paid'
-    END AS tier,
+    'Go' AS tier,
     ${statProviderSql("model", "provider_model", "raw_provider")} AS provider,
     provider_model,
     model,
@@ -104,63 +155,39 @@ WITH normalized AS (
     continent,
     session,
     COALESCE(NULLIF(user_id, ''), NULLIF(workspace, ''), NULLIF(api_key, '')) AS user_key,
-    status,
+    outcome,
     duration_ms,
     ttfb_ms,
     CASE
-      WHEN timestamp_last_byte - timestamp_first_byte < 100 THEN null
-      ELSE CAST(tokens_output AS double) / (timestamp_last_byte - timestamp_first_byte) * 1000
+      WHEN output_seconds < 0.1 THEN null
+      ELSE CAST(tokens_output AS double) / output_seconds
     END AS output_tps,
     tokens_input,
     tokens_output,
     tokens_reasoning,
     tokens_cache_read,
-    COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write_5m, 0) + COALESCE(tokens_cache_write_1h, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
-    COALESCE(cost_input_microcents, cost_input * 1000000) AS cost_input_microcents,
-    COALESCE(cost_output_microcents, cost_output * 1000000) AS cost_output_microcents,
-    COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents
+    COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
+    cost_input_microcents,
+    cost_output_microcents,
+    cost_total_microcents
   FROM normalized
   WHERE lower(model) NOT IN (${[...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
-  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,
+  ${sqlString(period.grain)} AS grain,
+  ${sqlString(period.key)} AS period_key,
+  ${sqlString(source.dataset)} AS dataset,
+  ${dimensions},
   ${aggregateColumns}
-FROM periods
+FROM filtered
 GROUP BY GROUPING SETS (
-  (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)
+  ${groupingSets}
 )
-ORDER BY grain, period_key, total_tokens DESC
+LIMIT 10000
 `
 }
 
-export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
+export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
   const model = statModel(data.model, data.provider_model)
   const provider = statProvider(model, data.provider_model, data.provider)
   if (!provider) return []
@@ -170,13 +197,13 @@ export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
   ])
 }
 
-export function toProviderAggregate(data: AthenaData): ProviderStatAggregate[] {
+export function toProviderAggregate(data: R2SqlData): ProviderStatAggregate[] {
   return toStatBaseAggregate(data).flatMap((base) => [
     { ...base, provider: statProvider(data.model, data.provider_model, data.provider) || "unknown" },
   ])
 }
 
-export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
+export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
   return toStatBaseAggregate(data).flatMap((base) => [
     {
       ...base,
@@ -188,7 +215,7 @@ export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
   ])
 }
 
-function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
+function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
   const grain = data.grain === "day" || data.grain === "week" ? data.grain : undefined
   if (!grain || !data.period_key) return []
 
@@ -223,21 +250,21 @@ function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
   ]
 }
 
-function integer(data: AthenaData, key: string) {
+function integer(data: R2SqlData, key: string) {
   return Math.round(number(data, key))
 }
 
-function nullableNumber(data: AthenaData, key: string) {
+function nullableNumber(data: R2SqlData, key: string) {
   if (data[key] === undefined || data[key] === "") return null
   return Number(number(data, key).toFixed(2))
 }
 
-function nullableInteger(data: AthenaData, key: string) {
+function nullableInteger(data: R2SqlData, key: string) {
   if (data[key] === undefined || data[key] === "") return null
   return Math.round(number(data, key))
 }
 
-function number(data: AthenaData, key: string) {
+function number(data: R2SqlData, key: string) {
   const value = Number(data[key])
   return Number.isFinite(value) ? value : 0
 }
@@ -250,6 +277,21 @@ 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}, '')

packages/stats/core/src/r2-sql.ts

@@ -0,0 +1,105 @@
+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)]])),
+          ),
+        )
+      }),
+    }),
+  )
+}

packages/stats/core/src/resource.d.ts

@@ -11,6 +11,17 @@ 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"

packages/stats/core/src/stat-sync.ts

@@ -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 { buildStatsQuery, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
+import { buildStatsQueries, 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()
@@ -18,23 +18,25 @@ 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 = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError
+export type SyncStatsError = R2SqlQueryError | DatabaseError
 
 export const syncStats: (options?: {
   full?: boolean
-}) => Effect.Effect<SyncStatsResult, SyncStatsError, Athena | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
+}) => Effect.Effect<SyncStatsResult, SyncStatsError, R2Sql | 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 athena = yield* Athena
+    const r2Sql = yield* R2Sql
     const modelStats = yield* ModelStatRepo
     const providerStats = yield* ProviderStatRepo
     const geoStats = yield* GeoStatRepo
 
     yield* logRuntimeCheck()
 
-    const rows = yield* athena.query(buildStatsQuery(periodStart, periodEnd))
+    const rows = yield* Effect.forEach(buildStatsQueries(periodStart, periodEnd), r2Sql.query, {
+      concurrency: 4,
+    }).pipe(Effect.map((batches) => batches.flat()))
     const modelRows = modelRowsFromAggregates(rows.filter((row) => row.dimension === "model").flatMap(toModelAggregate))
     const providerRows = providerRowsFromAggregates(
       rows.filter((row) => row.dimension === "provider").flatMap(toProviderAggregate),
@@ -77,7 +79,7 @@ export const syncStats: (options?: {
     }
   })
 
-// May 27 was partial, so keep Athena stats anchored at the first complete day.
+// May 27 was partial, so keep stats anchored at the first complete day.
 function fullPeriodStart(periodEnd: Date) {
   return new Date(
     Math.max(
@@ -99,13 +101,12 @@ function incrementalPeriodStart(periodEnd: Date) {
 
 function logRuntimeCheck() {
   return Effect.logInfo(
-    `athena stats runtime check ${JSON.stringify({
-      catalog: Resource.InferenceEvent.catalog,
-      database: Resource.InferenceEvent.database,
+    `r2 sql stats runtime check ${JSON.stringify({
+      accountId: Resource.R2Sql.accountId,
+      bucket: Resource.R2Sql.bucket,
       dataset: Resource.StatsSyncConfig.dataset,
-      table: Resource.InferenceEvent.table,
-      workgroup: Resource.InferenceEvent.workgroup,
-      region: Resource.InferenceEvent.region,
+      namespace: Resource.R2Sql.namespace,
+      table: Resource.R2Sql.table,
       stage: Resource.App.stage,
     })}`,
   )

packages/stats/server/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/stats-server",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/stats/server/src/stat-sync.ts

@@ -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, Athena.layer)
+const runtimeLayer = Layer.mergeAll(statsLayer, R2Sql.layer)
 
 const daemon = Effect.gen(function* () {
   yield* Effect.logInfo("stats sync daemon started")
@@ -19,9 +19,19 @@ const daemon = Effect.gen(function* () {
   let lastFullDay = ""
   const pass = Effect.gen(function* () {
     const today = new Date().toISOString().slice(0, 10)
-    const full = lastFullDay !== today
-    yield* syncStats({ full })
-    if (full) lastFullDay = today
+    if (lastFullDay !== today) {
+      const completed = yield* syncStats({ full: true }).pipe(
+        Effect.as(true),
+        Effect.catchCause((cause) =>
+          Effect.logWarning(`full stats sync failed; falling back to incremental sync ${Cause.pretty(cause)}`).pipe(
+            Effect.as(false),
+          ),
+        ),
+      )
+      lastFullDay = today
+      if (completed) return
+    }
+    yield* syncStats({ full: false })
   }).pipe(
     Effect.catchCause((cause) =>
       Effect.logWarning(`stats sync failed ${JSON.stringify({ cause: Cause.pretty(cause) })}`),
@@ -30,9 +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 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.
+// 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.
 const initialDelay = Effect.fnUntraced(function* () {
   const modelStats = yield* ModelStatRepo
   const lastSynced = yield* modelStats.lastSyncedAt().pipe(Effect.catchCause(() => Effect.succeed(null)))

packages/tui/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/tui",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/ui/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/ui",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "type": "module",
   "license": "MIT",
   "repository": {

packages/ui/src/theme/themes/oc-2.json

@@ -25,7 +25,7 @@
       "border-weak-base": "#DBDBDB",
       "border-weaker-base": "#E8E8E8",
       "icon-base": "#8F8F8F",
-      "icon-weak-base": "C7C7C7",
+      "icon-weak-base": "#C7C7C7",
       "surface-raised-base": "#F3F3F3",
       "surface-raised-base-hover": "#EDEDED",
       "surface-base": "#F8F8F8",

packages/ui/src/v2/components/button-v2.css

@@ -195,9 +195,9 @@
 
 /* Loading */
 [data-component="button-v2"][data-variant="loading"] {
-  background: #f2f2f2;
+  background: var(--v2-background-bg-layer-02);
   color: var(--v2-text-text-base);
-  box-shadow: inset 0 0 0 0.5px rgba(0, 0, 0, 0.08);
+  box-shadow: inset 0 0 0 0.5px var(--v2-border-border-muted);
   cursor: default;
   pointer-events: none;
 }

packages/web/package.json

@@ -2,7 +2,7 @@
   "name": "@opencode-ai/web",
   "type": "module",
   "license": "MIT",
-  "version": "1.18.15",
+  "version": "1.18.18",
   "scripts": {
     "dev": "astro dev",
     "dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",

packages/web/src/content/docs/ar/go.mdx

@@ -50,6 +50,7 @@ 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**
@@ -88,6 +89,7 @@ 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              |
@@ -108,7 +110,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 تستند التقديرات إلى أنماط الطلبات المرصودة:
 
 - Grok 4.5 — ‏1,100 input، و71,500 cached، و220 output tokens لكل طلب
-- GLM-5.2/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
+- GLM-5.3/5.2/5.1 — ‏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
@@ -131,6 +133,7 @@ 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       |
@@ -185,8 +188,9 @@ 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/chat/completions` | `@ai-sdk/openai-compatible` |
+| Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | 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` |
@@ -225,6 +229,7 @@ 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             |

packages/web/src/content/docs/ar/zen.mdx

@@ -53,69 +53,71 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
 
 يمكنك أيضا الوصول إلى نماذجنا عبر نقاط نهاية API التالية.
 
-| النموذج                | معرّف النموذج          | نقطة النهاية                                              | حزمة AI SDK                 |
-| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
-| GPT 5.6 Sol            | gpt-5.6-sol            | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.6 Terra          | gpt-5.6-terra          | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.6 Luna           | gpt-5.6-luna           | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.5                | gpt-5.5                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.5 Pro            | gpt-5.5-pro            | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.4                | gpt-5.4                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.4 Pro            | gpt-5.4-pro            | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.4 Mini           | gpt-5.4-mini           | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.4 Nano           | gpt-5.4-nano           | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.3 Codex          | gpt-5.3-codex          | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.3 Codex Spark    | gpt-5.3-codex-spark    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.2                | gpt-5.2                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.2 Codex          | gpt-5.2-codex          | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.1                | gpt-5.1                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.1 Codex          | gpt-5.1-codex          | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.1 Codex Max      | gpt-5.1-codex-max      | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5.1 Codex Mini     | gpt-5.1-codex-mini     | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5                  | gpt-5                  | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5 Codex            | gpt-5-codex            | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| GPT 5 Nano             | gpt-5-nano             | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Claude Fable 5         | claude-fable-5         | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Claude Opus 5          | claude-opus-5          | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Claude Opus 4.8        | claude-opus-4-8        | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Claude Opus 4.7        | claude-opus-4-7        | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Claude Opus 4.6        | claude-opus-4-6        | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Claude Opus 4.5        | claude-opus-4-5        | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Claude Sonnet 5        | claude-sonnet-5        | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| 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 3.6 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 4.5               | 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`            |
-| 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`         |
-| Qwen3.5 Plus           | qwen3.5-plus           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| DeepSeek V4 Pro        | deepseek-v4-pro        | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| DeepSeek V4 Flash      | deepseek-v4-flash      | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| MiniMax M3             | minimax-m3             | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| MiniMax M2.7           | minimax-m2.7           | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| MiniMax M2.5           | minimax-m2.5           | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| GLM 5.2                | glm-5.2                | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| GLM 5.1                | glm-5.1                | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| GLM 5                  | glm-5                  | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| Kimi K2.5              | kimi-k2.5              | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| Kimi K2.6              | kimi-k2.6              | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| Kimi K2.7 Code         | kimi-k2.7-code         | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| Kimi K3                | kimi-k3                | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| Big Pickle             | big-pickle             | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| MiMo-V2.5 Free         | mimo-v2.5-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-flash Free    | ling-3.0-flash-free    | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| LongCat-2.0 Free       | longcat-2.0-free       | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
-| North Mini Code Free   | north-mini-code-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` |
-| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| النموذج                     | معرّف النموذج               | نقطة النهاية                                              | حزمة AI SDK                 |
+| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
+| GPT 5.6 Sol                 | gpt-5.6-sol                 | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.6 Terra               | gpt-5.6-terra               | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.6 Luna                | gpt-5.6-luna                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.5                     | gpt-5.5                     | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.5 Pro                 | gpt-5.5-pro                 | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.4                     | gpt-5.4                     | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.4 Pro                 | gpt-5.4-pro                 | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.4 Mini                | gpt-5.4-mini                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.4 Nano                | gpt-5.4-nano                | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.3 Codex               | gpt-5.3-codex               | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.3 Codex Spark         | gpt-5.3-codex-spark         | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.2                     | gpt-5.2                     | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.2 Codex               | gpt-5.2-codex               | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.1                     | gpt-5.1                     | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.1 Codex               | gpt-5.1-codex               | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.1 Codex Max           | gpt-5.1-codex-max           | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5.1 Codex Mini          | gpt-5.1-codex-mini          | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5                       | gpt-5                       | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5 Codex                 | gpt-5-codex                 | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| GPT 5 Nano                  | gpt-5-nano                  | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
+| Claude Fable 5              | claude-fable-5              | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| Claude Opus 5               | claude-opus-5               | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| Claude Opus 4.8             | claude-opus-4-8             | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| Claude Opus 4.7             | claude-opus-4-7             | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| Claude Opus 4.6             | claude-opus-4-6             | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| Claude Opus 4.5             | claude-opus-4-5             | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| Claude Sonnet 5             | claude-sonnet-5             | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| 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`         |
+| Qwen3.5 Plus                | qwen3.5-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
+| DeepSeek V4 Pro             | deepseek-v4-pro             | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| DeepSeek V4 Flash           | deepseek-v4-flash           | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| MiniMax M3                  | minimax-m3                  | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| MiniMax M2.7                | minimax-m2.7                | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5                | minimax-m2.5                | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| GLM 5.2                     | glm-5.2                     | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| GLM 5.1                     | glm-5.1                     | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| GLM 5                       | glm-5                       | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| Kimi K2.5                   | kimi-k2.5                   | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| Kimi K2.6                   | kimi-k2.6                   | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code              | kimi-k2.7-code              | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| Kimi K3                     | kimi-k3                     | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| Big Pickle                  | big-pickle                  | `https://opencode.ai/zen/v1/chat/completions`             | `@ai-sdk/openai-compatible` |
+| 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` |
+| 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` |
 
 يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.
 
@@ -140,11 +142,10 @@ https://opencode.ai/zen/v1/models
 | Big Pickle                        | Free    | Free    | Free            | -               |
 | DeepSeek V4 Flash Free            | Free    | Free    | Free            | -               |
 | MiMo-V2.5 Free                    | Free    | Free    | Free            | -               |
+| Hy3 Free                          | Free    | Free    | Free            | -               |
 | Laguna S 2.1 Free                 | Free    | Free    | Free            | -               |
-| Ling-3.0-flash Free               | Free    | Free    | Free            | -               |
-| LongCat-2.0 Free                  | Free    | Free    | Free            | -               |
-| North Mini Code 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           | -               |
 | MiniMax M2.7                      | $0.30   | $1.20   | $0.06           | -               |
 | MiniMax M2.5                      | $0.30   | $1.20   | $0.06           | -               |
@@ -172,15 +173,19 @@ 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           |
@@ -217,11 +222,10 @@ https://opencode.ai/zen/v1/models
 
 - DeepSeek V4 Flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
 - 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-flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
-- LongCat-2.0 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
-- North Mini Code 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.
 
 <a href={email}>تواصل معنا</a> إذا كانت لديك أي أسئلة.
@@ -276,11 +280,10 @@ https://opencode.ai/zen/v1/models
 - Big Pickle: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
 - DeepSeek V4 Flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
 - 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-flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
-- LongCat-2.0 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
-- North Mini Code Free: خلال فترته المجانية، قد يُحتفَظ بالبيانات المُجمَّعة وتُستخدم لتحسين النموذج. لا تُرسل بيانات شخصية أو سرية. راجع [شروط الاستخدام](https://cohere.com/terms-of-use) و[سياسة الخصوصية](https://cohere.com/privacy).
 - 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).
 - Anthropic APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
 

packages/web/src/content/docs/bs/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -98,6 +99,7 @@ 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               |
@@ -118,7 +120,7 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
 Procjene se zasnivaju na zapaženim obrascima zahtjeva:
 
 - Grok 4.5 — 1,100 ulaznih, 71,500 keširanih, 220 izlaznih tokena po zahtjevu
-- GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
+- GLM-5.3/5.2/5.1 — 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
@@ -141,6 +143,7 @@ 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       |
@@ -197,8 +200,9 @@ 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/chat/completions` | `@ai-sdk/openai-compatible` |
+| Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | 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` |
@@ -239,6 +243,7 @@ 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               |