refactor(tui): remove unused subtle syntax context

Co-authored-by: Aiden Cline <aidenpcline@gmail.com>

bun.lock

@@ -29,7 +29,7 @@
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@@ -95,7 +95,7 @@
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@@ -143,7 +143,7 @@
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@@ -157,7 +157,7 @@
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@@ -193,7 +193,7 @@
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@@ -220,7 +220,7 @@
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@@ -242,7 +242,7 @@
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@@ -266,7 +266,7 @@
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@@ -286,7 +286,7 @@
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@@ -294,7 +294,7 @@
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@@ -303,7 +303,7 @@
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@@ -338,7 +338,7 @@
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@@ -380,7 +380,7 @@
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@@ -434,7 +434,7 @@
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@@ -448,7 +448,7 @@
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@@ -460,7 +460,7 @@
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@@ -492,7 +492,7 @@
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@@ -508,7 +508,7 @@
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@@ -539,7 +539,7 @@
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@@ -558,7 +558,7 @@
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@@ -569,7 +569,7 @@
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@@ -578,7 +578,7 @@
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@@ -631,7 +631,7 @@
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@@ -689,7 +689,7 @@
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@@ -765,7 +765,7 @@
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@@ -780,7 +780,7 @@
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@@ -795,7 +795,7 @@
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@@ -839,7 +839,7 @@
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@@ -852,9 +852,10 @@
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@@ -885,7 +886,7 @@
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@@ -904,7 +905,7 @@
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@@ -945,7 +946,7 @@
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@@ -972,7 +973,7 @@
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@@ -1023,7 +1024,7 @@
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@@ -6020,7 +6025,7 @@
 
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+    "@opencode-ai/core/@ai-sdk/openai": ["@ai-sdk/openai@3.0.84", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cmgbeJL0bbY0yTJH4/AdmP5E7MjWRL9G8UdhIi0JlV/So03o82ORJofW8OzwCZPTORVQblFbpZXYGDcUd9NdUQ=="],
 
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@@ -6162,6 +6167,10 @@
 
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+    "ai-gateway-provider/@ai-sdk/azure": ["@ai-sdk/azure@3.0.49", "", { "dependencies": { "@ai-sdk/openai": "3.0.48", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-wskgAL+OmrHG7by/iWIxEBQCEdc1mDudha/UZav46i0auzdFfsDB/k2rXZaC4/3nWSgMZkxr0W3ncyouEGX/eg=="],
+
+    "ai-gateway-provider/@ai-sdk/deepseek": ["@ai-sdk/deepseek@2.0.35", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-9DhYurbAvcurOEGN6u2myYDybrrzGfcrkG8hwmFjwTrePW6KCMggm0YxP7e8RkLYcQKqCEMgFlyEB4BM6EmiKg=="],
+
     "ai-gateway-provider/@ai-sdk/openai": ["@ai-sdk/openai@3.0.53", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Wld+Rbc05KaUn08uBt06eEuwcgalcIFtIl32Yp+GxuZXUQwOb6YeAuq+C6da4ch6BurFoqEaLemJVwjBb7x+PQ=="],
 
     "ai-gateway-provider/@ai-sdk/xai": ["@ai-sdk/xai@3.0.82", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.41", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-A0VFMufnVf4wODcT3SPQUUzvYXiIO1VhFuXj9r6z/vP4rlo+QRDPw3WSTchcz93ROQWSfBE3I6Szqz342OHi5w=="],
@@ -6388,7 +6397,7 @@
 
     "opencode/@ai-sdk/cerebras": ["@ai-sdk/cerebras@2.0.60", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.54", "@ai-sdk/provider": "3.0.12", "@ai-sdk/provider-utils": "4.0.33" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Rnok3cThg6awBwaDSyiZpgRpbV7pqxGYrA89LODCo5cuEHeP2h0AM0lLHP7zIkclAdXfOm4wldKi/S2T/DGCOw=="],
 
-    "opencode/@ai-sdk/openai": ["@ai-sdk/openai@3.0.53", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Wld+Rbc05KaUn08uBt06eEuwcgalcIFtIl32Yp+GxuZXUQwOb6YeAuq+C6da4ch6BurFoqEaLemJVwjBb7x+PQ=="],
+    "opencode/@ai-sdk/openai": ["@ai-sdk/openai@3.0.84", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cmgbeJL0bbY0yTJH4/AdmP5E7MjWRL9G8UdhIi0JlV/So03o82ORJofW8OzwCZPTORVQblFbpZXYGDcUd9NdUQ=="],
 
     "opencode/@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=="],
 
@@ -6896,6 +6905,10 @@
 
     "@octokit/rest/@octokit/core/before-after-hook": ["before-after-hook@4.0.0", "", {}, "sha512-q6tR3RPqIB1pMiTRMFcZwuG5T8vwp+vUvEG0vuI6B+Rikh5BfPp2fQ82c925FOs+b0lcFQ8CFrL+KbilfZFhOQ=="],
 
+    "@opencode-ai/core/@ai-sdk/openai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
+
+    "@opencode-ai/core/@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=="],
+
     "@opencode-ai/desktop/@actions/artifact/@actions/http-client": ["@actions/http-client@2.2.3", "", { "dependencies": { "tunnel": "^0.0.6", "undici": "^5.25.4" } }, "sha512-mx8hyJi/hjFvbPokCg4uRd4ZX78t+YyRPtnKWwIl+RzNaVuFpQHfmlGVfsKEJN8LwTCvL+DfVgAM04XaHkm6bA=="],
 
     "@opencode-ai/web/@shikijs/transformers/@shikijs/core": ["@shikijs/core@3.20.0", "", { "dependencies": { "@shikijs/types": "3.20.0", "@shikijs/vscode-textmate": "^10.0.2", "@types/hast": "^3.0.4", "hast-util-to-html": "^9.0.5" } }, "sha512-f2ED7HYV4JEk827mtMDwe/yQ25pRiXZmtHjWF8uzZKuKiEsJR7Ce1nuQ+HhV9FzDcbIo4ObBCD9GPTzNuy9S1g=="],
@@ -6966,6 +6979,14 @@
 
     "ai-gateway-provider/@ai-sdk/anthropic/@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/azure/@ai-sdk/openai": ["@ai-sdk/openai@3.0.48", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ALmj/53EXpcRqMbGpPJPP4UOSWw0q4VGpnDo7YctvsynjkrKDmoneDG/1a7VQnSPYHnJp6tTRMf5ZdxZ5whulg=="],
+
+    "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/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/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/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=="],
 
     "ajv-keywords/ajv/json-schema-traverse": ["json-schema-traverse@0.4.1", "", {}, "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="],
@@ -7118,6 +7139,10 @@
 
     "opencode/@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=="],
 
+    "opencode/@ai-sdk/openai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
+
+    "opencode/@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=="],
+
     "p-locate/p-limit/yocto-queue": ["yocto-queue@0.1.0", "", {}, "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="],
 
     "pkg-dir/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
@@ -7366,6 +7391,8 @@
 
     "@octokit/rest/@octokit/core/@octokit/types/@octokit/openapi-types": ["@octokit/openapi-types@27.0.0", "", {}, "sha512-whrdktVs1h6gtR+09+QsNk2+FO+49j6ga1c55YZudfEG+oKJVvJLQi3zkOm5JjiUXAagWK2tI2kTGKJ2Ys7MGA=="],
 
+    "@opencode-ai/core/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
     "@opencode-ai/desktop/@actions/artifact/@actions/http-client/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
 
     "@sentry/bundler-plugin-core/glob/minimatch/brace-expansion": ["brace-expansion@2.1.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-WR1cURNjuvBLMZBMbqM0UoE+WAfdUcEV1ccD8PVBVOI+Z3ND4+SZbN8RsfT2bMuG1qwz5RFvPukSZm5fF2D5eA=="],
@@ -7382,6 +7409,10 @@
 
     "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/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
     "ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
 
     "app-builder-lib/@electron/get/fs-extra/universalify": ["universalify@0.1.2", "", {}, "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg=="],
@@ -7452,6 +7483,8 @@
 
     "opencode/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
 
+    "opencode/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+
     "pkg-dir/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],
 
     "pkg-up/find-up/locate-path/p-locate": ["p-locate@3.0.0", "", { "dependencies": { "p-limit": "^2.0.0" } }, "sha512-x+12w/To+4GFfgJhBEpiDcLozRJGegY+Ei7/z0tSLkMmxGZNybVMSfWj9aJn8Z5Fc7dBUNJOOVgPv2H7IwulSQ=="],

nix/hashes.json

@@ -1,8 +1,8 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-JTtn+wXTXg+yklvIMDLcGFaYhTU6ZrCgKT9JTNEQ3gA=",
-    "aarch64-linux": "sha256-gXU6zyhvAZrZirkL/PlHdkHtEof/7PVSPCaE34Jnd4U=",
-    "aarch64-darwin": "sha256-Q0oTG3uzOlD/X2kJingLle529lKFoTpyCW2rHXOZ6iE=",
-    "x86_64-darwin": "sha256-LINvKHxPibTlJeNzfACQx0x+Yj5oROT6Du3I5AtqqXk="
+    "x86_64-linux": "sha256-N4zM1zNufSg8DrDWOHWJYgVpn6vDghX/CJ0pym9ItxI=",
+    "aarch64-linux": "sha256-Votrb6IbVt6OS5pcAlBd3L2btkZHa62Eu3mAFzKSlGM=",
+    "aarch64-darwin": "sha256-Ofmy6plO4CFt/DoVdyt3Sr2rk6VJhas4zXq3DnvP/6A=",
+    "x86_64-darwin": "sha256-LOeqfqlPbhp1c0Gq56fvKSzve7dvcCwlooTmDMFMznw="
   }
 }

packages/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/app",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "description": "",
   "type": "module",
   "exports": {

packages/cli/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/cli",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/console/core/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/console-core",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/console/function/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/console-function",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "$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": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/core/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "name": "@opencode-ai/core",
   "type": "module",
   "license": "MIT",
@@ -64,7 +64,7 @@
     "@ai-sdk/alibaba": "1.0.17",
     "@ai-sdk/amazon-bedrock": "4.0.112",
     "@ai-sdk/anthropic": "3.0.82",
-    "@ai-sdk/azure": "3.0.49",
+    "@ai-sdk/azure": "3.0.88",
     "@ai-sdk/cerebras": "2.0.41",
     "@ai-sdk/cohere": "3.0.27",
     "@ai-sdk/deepinfra": "2.0.41",
@@ -73,7 +73,7 @@
     "@ai-sdk/google-vertex": "4.0.128",
     "@ai-sdk/groq": "3.0.31",
     "@ai-sdk/mistral": "3.0.27",
-    "@ai-sdk/openai": "3.0.53",
+    "@ai-sdk/openai": "3.0.84",
     "@ai-sdk/openai-compatible": "2.0.41",
     "@ai-sdk/perplexity": "3.0.26",
     "@ai-sdk/provider": "3.0.8",
@@ -108,7 +108,7 @@
     "drizzle-orm": "catalog:",
     "effect": "catalog:",
     "fuzzysort": "3.1.0",
-    "gitlab-ai-provider": "6.10.0",
+    "gitlab-ai-provider": "6.11.1",
     "glob": "13.0.5",
     "google-auth-library": "10.5.0",
     "gray-matter": "4.0.3",

packages/desktop/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@opencode-ai/desktop",
   "private": true,
-  "version": "1.17.18",
+  "version": "1.17.19",
   "type": "module",
   "license": "MIT",
   "homepage": "https://opencode.ai",

packages/effect-drizzle-sqlite/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "name": "@opencode-ai/effect-sqlite-node",
   "type": "module",
   "license": "MIT",

packages/enterprise/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/enterprise",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/function/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/function",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "$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": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "name": "@opencode-ai/llm",
   "type": "module",
   "license": "MIT",

packages/opencode/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "name": "opencode",
   "type": "module",
   "license": "MIT",
@@ -58,7 +58,7 @@
     "@ai-sdk/alibaba": "1.0.17",
     "@ai-sdk/amazon-bedrock": "4.0.112",
     "@ai-sdk/anthropic": "3.0.82",
-    "@ai-sdk/azure": "3.0.49",
+    "@ai-sdk/azure": "3.0.88",
     "@ai-sdk/cerebras": "2.0.60",
     "@ai-sdk/cohere": "3.0.27",
     "@ai-sdk/deepinfra": "2.0.41",
@@ -67,7 +67,7 @@
     "@ai-sdk/google-vertex": "4.0.128",
     "@ai-sdk/groq": "3.0.31",
     "@ai-sdk/mistral": "3.0.27",
-    "@ai-sdk/openai": "3.0.53",
+    "@ai-sdk/openai": "3.0.84",
     "@ai-sdk/openai-compatible": "2.0.41",
     "@ai-sdk/perplexity": "3.0.26",
     "@ai-sdk/provider": "3.0.8",
@@ -120,7 +120,7 @@
     "drizzle-orm": "catalog:",
     "effect": "catalog:",
     "fuzzysort": "3.1.0",
-    "gitlab-ai-provider": "6.10.0",
+    "gitlab-ai-provider": "6.11.1",
     "glob": "13.0.5",
     "google-auth-library": "10.5.0",
     "gray-matter": "4.0.3",

packages/opencode/src/plugin/openai/codex.ts

@@ -6,12 +6,15 @@ import { setTimeout as sleep } from "node:timers/promises"
 import { createServer } from "http"
 import { OpenAIWebSocketPool } from "./ws-pool"
 import { OauthCallbackPage } from "@opencode-ai/core/oauth/page"
+import { isRecord } from "@/util/record"
 
 const CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
 const ISSUER = "https://auth.openai.com"
 const CODEX_API_ENDPOINT = "https://chatgpt.com/backend-api/codex/responses"
 const OAUTH_PORT = 1455
 const OAUTH_POLLING_SAFETY_MARGIN_MS = 3000
+const CODEX_COMPATIBILITY_VERSION = "0.144.0"
+const RESPONSES_LITE_MODEL = "gpt-5.6-luna"
 const ALLOWED_MODELS = new Set(["gpt-5.5", "gpt-5.3-codex-spark", "gpt-5.4", "gpt-5.4-mini"])
 const DISALLOWED_MODELS = new Set(["gpt-5.5-pro"])
 
@@ -283,6 +286,7 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
         return Object.fromEntries(
           Object.entries(provider.models)
             .filter(([, model]) => {
+              if (model.options.reasoningMode === "pro") return false
               if (ALLOWED_MODELS.has(model.api.id)) return true
               if (DISALLOWED_MODELS.has(model.api.id)) return false
               if (model.api.id === "gpt-5.6") return false
@@ -417,6 +421,9 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
 
             const requestInit = {
               ...init,
+              body: parsed.pathname.endsWith("/responses")
+                ? prepareResponsesLiteRequest(init?.body, headers)
+                : init?.body,
               headers,
             }
             if (websocketFetch && parsed.pathname.endsWith("/responses")) return websocketFetch(url, requestInit)
@@ -561,3 +568,61 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
     },
   }
 }
+
+function prepareResponsesLiteRequest(body: BodyInit | null | undefined, headers: Headers) {
+  if (typeof body !== "string") return body
+  const request: unknown = JSON.parse(body)
+  if (!isRecord(request)) return body
+  if (request.model !== RESPONSES_LITE_MODEL) return body
+  if (!Array.isArray(request.input)) throw new Error("Responses Lite requires an input array")
+  if (request.tools !== undefined && !Array.isArray(request.tools)) {
+    throw new Error("Responses Lite requires a tools array")
+  }
+  if (request.instructions !== undefined && typeof request.instructions !== "string") {
+    throw new Error("Responses Lite requires string instructions")
+  }
+
+  const sessionID = headers.get("session-id")
+  if (!sessionID) throw new Error("Responses Lite requires a session-id header")
+
+  function stripImageDetail(value: unknown) {
+    if (Array.isArray(value)) {
+      value.forEach(stripImageDetail)
+      return
+    }
+    if (!isRecord(value)) return
+    if (value.type === "input_image") delete value.detail
+    Object.values(value).forEach(stripImageDetail)
+  }
+
+  stripImageDetail(request.input)
+  request.input = [
+    { type: "additional_tools", role: "developer", tools: request.tools ?? [] },
+    ...(request.instructions
+      ? [
+          {
+            type: "message",
+            role: "developer",
+            content: [{ type: "input_text", text: request.instructions }],
+          },
+        ]
+      : []),
+    ...request.input,
+  ]
+  delete request.tools
+  delete request.instructions
+  request.tool_choice = "auto"
+  request.parallel_tool_calls = false
+  request.prompt_cache_key = sessionID
+  request.reasoning = {
+    ...(isRecord(request.reasoning) ? request.reasoning : {}),
+    context: "all_turns",
+  }
+
+  headers.set("session-id", sessionID)
+  headers.set("x-session-affinity", sessionID)
+  headers.set("version", CODEX_COMPATIBILITY_VERSION)
+  headers.set(OpenAIWebSocketPool.RESPONSES_LITE_HEADER, "true")
+  headers.delete("content-length")
+  return JSON.stringify(request)
+}

packages/opencode/src/plugin/openai/ws-pool.ts

@@ -4,6 +4,8 @@ import { isRecord } from "@/util/record"
 import { OpenAIWebSocket } from "./ws"
 
 export const TITLE_HEADER = "x-opencode-title"
+export const RESPONSES_LITE_HEADER = "x-openai-internal-codex-responses-lite"
+const RESPONSES_LITE_CLIENT_METADATA = "ws_request_header_x_openai_internal_codex_responses_lite"
 
 export interface CreateWebSocketFetchOptions {
   httpFetch?: typeof globalThis.fetch
@@ -98,7 +100,16 @@ export function createWebSocketFetch(options?: CreateWebSocketFetchOptions) {
       })
       const response = OpenAIWebSocket.streamResponsesWebSocket({
         socket: entry.socket,
-        body,
+        body:
+          internalHeaders[RESPONSES_LITE_HEADER] === "true"
+            ? {
+                ...body,
+                client_metadata: {
+                  ...(isRecord(body.client_metadata) ? body.client_metadata : {}),
+                  [RESPONSES_LITE_CLIENT_METADATA]: "true",
+                },
+              }
+            : body,
         idleTimeout,
         signal: init?.signal ?? undefined,
         onFirstEvent: (error) => resolveFirstEvent(error ?? true),

packages/opencode/src/provider/provider.ts

@@ -1267,14 +1267,7 @@ export function fromModelsDevProvider(provider: ModelsDev.Provider): Info {
         id: ModelV2.ID.make(id),
         name: `${model.name} ${mode[0].toUpperCase()}${mode.slice(1)}`,
         cost: opts.cost ? mergeDeep(base.cost, cost(opts.cost)) : base.cost,
-        options: opts.provider?.body
-          ? Object.fromEntries(
-              Object.entries(opts.provider.body).map(([k, v]) => [
-                k.replace(/_([a-z])/g, (_, c) => c.toUpperCase()),
-                v,
-              ]),
-            )
-          : base.options,
+        options: modeOptions(base, opts.provider?.body),
         headers: opts.provider?.headers ?? base.headers,
       }
     }
@@ -1289,6 +1282,17 @@ export function fromModelsDevProvider(provider: ModelsDev.Provider): Info {
   }
 }
 
+function modeOptions(model: Model, body: Record<string, unknown> | undefined) {
+  if (!body) return model.options
+  const options = Object.fromEntries(
+    Object.entries(body).map(([key, value]) => [key.replace(/_([a-z])/g, (_, char) => char.toUpperCase()), value]),
+  )
+  const reasoning = body.reasoning
+  if (model.api.npm !== "@ai-sdk/openai" || !isRecord(reasoning) || typeof reasoning.mode !== "string") return options
+  const { reasoning: _, ...rest } = options
+  return { ...rest, reasoningMode: reasoning.mode }
+}
+
 function modelSuggestions(provider: Info | undefined, modelID: ModelV2.ID, enableExperimentalModels: boolean) {
   const available = provider
     ? Object.keys(provider.models).filter((id) => {

packages/opencode/src/provider/transform.ts

@@ -1102,7 +1102,8 @@ export function options(input: {
     input.model.providerID === "openai" ||
     input.model.api.npm === "@ai-sdk/openai" ||
     input.model.api.npm === "@ai-sdk/github-copilot" ||
-    input.model.api.npm === "@ai-sdk/amazon-bedrock/mantle"
+    input.model.api.npm === "@ai-sdk/amazon-bedrock/mantle" ||
+    input.model.api.npm === "@ai-sdk/xai"
   ) {
     result["store"] = false
   }
@@ -1257,7 +1258,8 @@ export function smallOptions(model: Provider.Model) {
   if (
     model.providerID === "openai" ||
     model.api.npm === "@ai-sdk/openai" ||
-    model.api.npm === "@ai-sdk/github-copilot"
+    model.api.npm === "@ai-sdk/github-copilot" ||
+    model.api.npm === "@ai-sdk/xai"
   ) {
     const base = { store: false }
     return mergeDeep(base, small)
@@ -1611,17 +1613,13 @@ function effortVariants(model: Provider.Model, values: readonly unknown[]) {
 }
 
 function budgetVariants(model: Provider.Model, min?: number, max?: number) {
-  const limit = model.limit.output - 1
-  if (limit <= 0) return {}
-  const high = Math.min(
-    max === undefined ? Math.max(min ?? 0, 16_000) : Math.min(Math.max(min ?? 0, 16_000), max),
-    limit,
-  )
-  const maximum = max === undefined ? undefined : Math.min(max, limit)
+  const maximum = Math.min(max ?? OUTPUT_TOKEN_MAX - 1, model.limit.output - 1, OUTPUT_TOKEN_MAX - 1)
+  if (maximum <= 0) return {}
+  const high = Math.min(Math.max(min ?? 0, Math.floor((maximum + 1) / 2)), maximum)
   return Object.fromEntries(
     [
       { id: "high", budget: high },
-      ...(maximum === undefined || maximum === high ? [] : [{ id: "max", budget: maximum }]),
+      { id: "max", budget: maximum },
     ].flatMap((item) => {
       const settings = reasoningBudget(model, item.budget)
       return settings ? [[item.id, settings]] : []

packages/opencode/test/plugin/codex.test.ts

@@ -149,16 +149,32 @@ describe("plugin.codex", () => {
     await enabled.dispose?.()
   })
 
-  test("uses Codex context limits for OAuth GPT models", async () => {
+  test("filters unsupported modes and uses Codex context limits for OAuth GPT models", async () => {
     const hooks = await CodexAuthPlugin({} as never)
     const limit = { context: 1_050_000, input: 922_000, output: 128_000 }
     const provider = {
-      models: Object.fromEntries(
-        ["gpt-5.4", "gpt-5.5", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna"].map((id) => [
-          id,
-          { id, api: { id }, limit, cost: {} },
-        ]),
-      ),
+      models: {
+        ...Object.fromEntries(
+          ["gpt-5.4", "gpt-5.5", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.7-pro"].map((id) => [
+            id,
+            { id, api: { id }, limit, cost: {}, options: {} },
+          ]),
+        ),
+        "gpt-5.4-pro": {
+          id: "gpt-5.4-pro",
+          api: { id: "gpt-5.4" },
+          limit,
+          cost: {},
+          options: { reasoningMode: "pro" },
+        },
+        "gpt-5.6-sol-high": {
+          id: "gpt-5.6-sol-high",
+          api: { id: "gpt-5.6-sol" },
+          limit,
+          cost: {},
+          options: { reasoningEffort: "high" },
+        },
+      },
     }
 
     const models = await hooks.provider!.models!(provider as never, { auth: { type: "oauth" } } as never)
@@ -168,6 +184,9 @@ describe("plugin.codex", () => {
     expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
     expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
     expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
+    expect(models["gpt-5.4-pro"]).toBeUndefined()
+    expect(models["gpt-5.7-pro"]).toBeDefined()
+    expect(models["gpt-5.6-sol-high"]).toBeDefined()
     expect(await hooks.provider!.models!(provider as never, { auth: { type: "api" } } as never)).toBe(
       provider.models as never,
     )

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

@@ -1376,16 +1376,17 @@ it.instance(
   },
 )
 
-test("mode cost preserves over-200k pricing from base model", () => {
+test("mode options and cost are derived from the base model", () => {
   const provider = {
     id: "openai",
     name: "OpenAI",
     env: [],
+    npm: "@ai-sdk/openai",
     api: "https://api.openai.com/v1",
     models: {
-      "gpt-5.4": {
-        id: "gpt-5.4",
-        name: "GPT-5.4",
+      "gpt-5.6-sol": {
+        id: "gpt-5.6-sol",
+        name: "GPT-5.6 Sol",
         family: "gpt",
         release_date: "2026-03-05",
         attachment: true,
@@ -1421,18 +1422,29 @@ test("mode cost preserves over-200k pricing from base model", () => {
                 },
               },
             },
+            pro: {
+              provider: {
+                body: {
+                  reasoning: { mode: "pro" },
+                  service_tier: "priority",
+                },
+              },
+            },
           },
         },
       },
     },
   } as unknown as ModelsDev.Provider
 
-  const model = Provider.fromModelsDevProvider(provider).models["gpt-5.4-fast"]
+  const model = Provider.fromModelsDevProvider(provider).models["gpt-5.6-sol-fast"]
   expect(model.cost.input).toEqual(5)
   expect(model.cost.output).toEqual(30)
   expect(model.cost.cache.read).toEqual(0.5)
   expect(model.cost.cache.write).toEqual(0)
   expect(model.options["serviceTier"]).toEqual("priority")
+  const pro = Provider.fromModelsDevProvider(provider).models["gpt-5.6-sol-pro"]
+  expect(pro.api.id).toEqual("gpt-5.6-sol")
+  expect(pro.options).toEqual({ reasoningMode: "pro", serviceTier: "priority" })
   expect(model.cost.experimentalOver200K).toEqual({
     input: 5,
     output: 22.5,

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

@@ -156,6 +156,43 @@ describe("ProviderTransform.options - setCacheKey", () => {
     expect(result.store).toBe(false)
   })
 
+  test("should set store=false for xAI provider by default", () => {
+    const xaiModel = {
+      ...mockModel,
+      providerID: "xai",
+      api: {
+        id: "grok-4",
+        url: "https://api.x.ai",
+        npm: "@ai-sdk/xai",
+      },
+    }
+    const result = ProviderTransform.options({
+      model: xaiModel,
+      sessionID,
+      providerOptions: {},
+    })
+    expect(result.store).toBe(false)
+    expect(result.promptCacheKey).toBe(sessionID)
+  })
+
+  test("should set store=false for xAI SDK regardless of provider ID", () => {
+    const xaiModel = {
+      ...mockModel,
+      providerID: "custom-xai",
+      api: {
+        id: "grok-4",
+        url: "https://api.x.ai",
+        npm: "@ai-sdk/xai",
+      },
+    }
+    const result = ProviderTransform.options({
+      model: xaiModel,
+      sessionID,
+      providerOptions: {},
+    })
+    expect(result.store).toBe(false)
+  })
+
   test("should set store=false for azure provider by default", () => {
     const azureModel = {
       ...mockModel,
@@ -3111,9 +3148,9 @@ describe("ProviderTransform.reasoningVariants", () => {
     ["@ai-sdk/cohere", { thinking: { type: "enabled", tokenBudget: 16_000 } }],
     ["@ai-sdk/alibaba", { enableThinking: true, thinkingBudget: 16_000 }],
   ])("converts token budgets for %s", (npm, high) => {
-    expect(
-      ProviderTransform.reasoningVariants(model([{ type: "budget_tokens", min: 1_024, max: 16_000 }]), target(npm)),
-    ).toEqual({ high })
+    const variants = ProviderTransform.reasoningVariants(model([{ type: "budget_tokens", min: 1_024 }]), target(npm))
+    expect(variants?.high).toEqual(high)
+    expect(Object.keys(variants ?? {})).toEqual(["high", "max"])
   })
 
   test("maps null effort to none", () => {
@@ -3150,6 +3187,7 @@ describe("ProviderTransform.reasoningVariants", () => {
     ).toEqual({
       none: { thinking: { type: "disabled" } },
       high: { thinking: { type: "enabled", tokenBudget: 16_000 } },
+      max: { thinking: { type: "enabled", tokenBudget: 31_999 } },
     })
   })
 
@@ -3161,7 +3199,7 @@ describe("ProviderTransform.reasoningVariants", () => {
       ),
     ).toEqual({
       high: { thinking: { type: "enabled", budgetTokens: 16_000 } },
-      max: { thinking: { type: "enabled", budgetTokens: 63_999 } },
+      max: { thinking: { type: "enabled", budgetTokens: 31_999 } },
     })
   })
 
@@ -3171,7 +3209,32 @@ describe("ProviderTransform.reasoningVariants", () => {
     expect(
       ProviderTransform.reasoningVariants(model([{ type: "budget_tokens", min: 1_024, max: 64_000 }]), anthropic),
     ).toEqual({
-      high: { thinking: { type: "enabled", budgetTokens: 4_999 } },
+      high: { thinking: { type: "enabled", budgetTokens: 2_500 } },
+      max: { thinking: { type: "enabled", budgetTokens: 4_999 } },
+    })
+  })
+
+  test("derives high and max budgets when models.dev omits max", () => {
+    expect(
+      ProviderTransform.reasoningVariants(
+        model([{ type: "budget_tokens", min: 1_024 }]),
+        target("@ai-sdk/anthropic", "claude-haiku-4-5"),
+      ),
+    ).toEqual({
+      high: { thinking: { type: "enabled", budgetTokens: 16_000 } },
+      max: { thinking: { type: "enabled", budgetTokens: 31_999 } },
+    })
+  })
+
+  test("preserves explicit inclusive budget maxima", () => {
+    expect(
+      ProviderTransform.reasoningVariants(
+        model([{ type: "budget_tokens", min: 1_024, max: 24_576 }]),
+        target("@ai-sdk/google", "gemini-2.5-pro"),
+      ),
+    ).toEqual({
+      high: { thinkingConfig: { includeThoughts: true, thinkingBudget: 12_288 } },
+      max: { thinkingConfig: { includeThoughts: true, thinkingBudget: 24_576 } },
     })
   })
 

packages/opencode/test/session/llm.test.ts

@@ -1092,7 +1092,7 @@ describe("session.llm.stream", () => {
         const agent = {
           name: "test",
           mode: "primary",
-          options: {},
+          options: { reasoningMode: "pro" },
           permission: [{ permission: "*", pattern: "*", action: "allow" }],
           temperature: 0.2,
         } satisfies Agent.Info
@@ -1123,6 +1123,7 @@ describe("session.llm.stream", () => {
         expect(body.model).toBe(resolved.api.id)
         expect(body.stream).toBe(true)
         expect((body.reasoning as { effort?: string } | undefined)?.effort).toBe("high")
+        expect((body.reasoning as { mode?: string } | undefined)?.mode).toBe("pro")
 
         const maxTokens = body.max_output_tokens as number | undefined
         expect(maxTokens).toBe(undefined) // match codex cli behavior

packages/plugin/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/plugin",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/session-ui/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/session-ui",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/slack/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/slack",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "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": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",
@@ -13,6 +13,7 @@
   },
   "dependencies": {
     "@ibm/plex": "6.4.1",
+    "@kobalte/core": "catalog:",
     "@opencode-ai/stats-core": "workspace:*",
     "@opencode-ai/ui": "workspace:*",
     "@solidjs/meta": "catalog:",

packages/stats/app/src/routes/[lab]/[model].tsx

@@ -39,6 +39,7 @@ import {
   uniqueComparisonPairs,
   type ComparisonModelRef,
 } from "../compare-cards"
+import { BreadcrumbSelect } from "../breadcrumb-select"
 import {
   applyThemePreference,
   Footer,
@@ -294,61 +295,46 @@ function ModelHero(props: {
         <Show
           when={labs().length > 0}
           fallback={
-            <span data-slot="model-hero-crumb" data-current="true">
+            <span data-slot="model-hero-crumb" data-menu="true">
               <span>{props.labName}</span>
               <ChevronDownIcon />
             </span>
           }
         >
-          <details data-component="model-hero-menu">
-            <summary data-slot="model-hero-crumb" data-current="true">
-              <span>{props.labName}</span>
-              <ChevronDownIcon />
-            </summary>
-            <div data-slot="model-hero-options">
-              <For each={labs()}>
-                {(lab) => (
-                  <a
-                    data-slot="model-hero-option"
-                    data-current={lab.id === providerSlug(labId()) ? "true" : undefined}
-                    href={language.route(`${import.meta.env.BASE_URL}${lab.id}`)}
-                  >
-                    {lab.name}
-                  </a>
-                )}
-              </For>
-            </div>
-          </details>
+          <BreadcrumbSelect
+            ariaLabel="Choose a lab"
+            label={props.labName}
+            options={labs().map((lab) => ({
+              href: language.route(`${import.meta.env.BASE_URL}${lab.id}`),
+              label: lab.name,
+              value: lab.id,
+            }))}
+            value={providerSlug(labId())}
+            variant="model"
+          />
         </Show>
         <span data-slot="model-hero-separator">/</span>
         <Show
           when={labModels().length > 0}
           fallback={
-            <span data-slot="model-hero-crumb" data-current="true" aria-current="page">
+            <span data-slot="model-hero-crumb" data-menu="true" data-current="true" aria-current="page">
               <span>{modelName()}</span>
               <ChevronDownIcon />
             </span>
           }
         >
-          <details data-component="model-hero-menu">
-            <summary data-slot="model-hero-crumb" data-current="true" aria-current="page">
-              <span>{modelName()}</span>
-              <ChevronDownIcon />
-            </summary>
-            <div data-slot="model-hero-options">
-              <For each={labModels()}>
-                {(model) => (
-                  <a
-                    data-slot="model-hero-option"
-                    data-current={model.id === props.catalog?.id ? "true" : undefined}
-                    href={language.route(`${import.meta.env.BASE_URL}${model.id}`)}
-                  >
-                    {model.name}
-                  </a>
-                )}
-              </For>
-            </div>
-          </details>
+          <BreadcrumbSelect
+            ariaLabel="Choose a model"
+            current
+            label={modelName()}
+            options={labModels().map((model) => ({
+              href: language.route(`${import.meta.env.BASE_URL}${model.id}`),
+              label: model.name,
+              value: model.id,
+            }))}
+            value={props.catalog?.id ?? ""}
+            variant="model"
+          />
         </Show>
       </nav>
       <div data-slot="model-hero-title-row">
@@ -432,7 +418,7 @@ function ModelHeroSparkline(props: { data: StatsModelData }) {
 function ChevronDownIcon() {
   return (
     <svg width="16" height="16" viewBox="0 0 16 16" aria-hidden="true" fill="none">
-      <path d="M4.75 6.25L8 9.5L11.25 6.25" stroke="currentColor" stroke-width="1.5" />
+      <path d="M5 6.5L8 9.5L11 6.5" stroke="currentColor" />
     </svg>
   )
 }

packages/stats/app/src/routes/[lab]/index.tsx

@@ -29,6 +29,7 @@ import { SectionHeading } from "../section-heading"
 import { runStatsEffect } from "../../stats-runtime"
 import { setStatsPageCacheHeaders } from "../stats-cache"
 import { ComparisonCardsSection, modelRefFromCatalog, uniqueComparisonPairs } from "../compare-cards"
+import { BreadcrumbSelect } from "../breadcrumb-select"
 import {
   applyThemePreference,
   Footer,
@@ -205,6 +206,7 @@ function LabHero(props: { lab: ModelCatalogLab; labs: ModelCatalogLab[] }) {
 function LabHeroBreadcrumb(props: { label: string; labs?: ModelCatalogLab[] }) {
   const language = useLanguage()
   const labs = () => props.labs ?? []
+  const current = () => labs().find((lab) => lab.name === props.label)
   return (
     <nav data-component="lab-hero-breadcrumb" aria-label="Data breadcrumb">
       <a data-slot="lab-hero-crumb" href={language.route(import.meta.env.BASE_URL)}>
@@ -217,32 +219,23 @@ function LabHeroBreadcrumb(props: { label: string; labs?: ModelCatalogLab[] }) {
           <span data-slot="lab-hero-crumb" data-current="true" aria-current="page">
             <span>{props.label}</span>
             <svg width="16" height="16" viewBox="0 0 16 16" aria-hidden="true">
-              <path d="M4.75 6.25L8 9.5L11.25 6.25" fill="none" stroke="currentColor" stroke-width="1.5" />
+              <path d="M5 6.5L8 9.5L11 6.5" fill="none" stroke="currentColor" />
             </svg>
           </span>
         }
       >
-        <details data-component="lab-hero-menu">
-          <summary data-slot="lab-hero-crumb" data-current="true" aria-current="page">
-            <span>{props.label}</span>
-            <svg width="16" height="16" viewBox="0 0 16 16" aria-hidden="true">
-              <path d="M4.75 6.25L8 9.5L11.25 6.25" fill="none" stroke="currentColor" stroke-width="1.5" />
-            </svg>
-          </summary>
-          <div data-slot="lab-hero-options">
-            <For each={labs()}>
-              {(lab) => (
-                <a
-                  data-slot="lab-hero-option"
-                  data-current={lab.name === props.label ? "true" : undefined}
-                  href={language.route(`${import.meta.env.BASE_URL}${lab.id}`)}
-                >
-                  {lab.name}
-                </a>
-              )}
-            </For>
-          </div>
-        </details>
+        <BreadcrumbSelect
+          ariaLabel="Choose a lab"
+          current
+          label={props.label}
+          options={labs().map((lab) => ({
+            href: language.route(`${import.meta.env.BASE_URL}${lab.id}`),
+            label: lab.name,
+            value: lab.id,
+          }))}
+          value={current()?.id ?? ""}
+          variant="lab"
+        />
       </Show>
     </nav>
   )

packages/stats/app/src/routes/breadcrumb-select.tsx

@@ -0,0 +1,71 @@
+import { Select } from "@kobalte/core/select"
+import { createMemo } from "solid-js"
+
+export type BreadcrumbSelectOption = {
+  href: string
+  label: string
+  value: string
+}
+
+export function BreadcrumbSelect(props: {
+  ariaLabel: string
+  current?: boolean
+  label: string
+  options: BreadcrumbSelectOption[]
+  value: string
+  variant: "lab" | "model"
+}) {
+  const selected = createMemo(() => props.options.find((option) => option.value === props.value) ?? null)
+
+  return (
+    <Select<BreadcrumbSelectOption>
+      data-component="stats-breadcrumb-select"
+      data-variant={props.variant}
+      options={props.options}
+      optionValue="value"
+      optionTextValue="label"
+      value={selected()}
+      placeholder={props.label}
+      disallowEmptySelection
+      closeOnSelection
+      shouldFocusWrap
+      placement="bottom"
+      gutter={8}
+      sameWidth={false}
+      itemComponent={(itemProps) => (
+        <Select.Item
+          item={itemProps.item}
+          data-slot="stats-breadcrumb-select-option"
+          data-current={itemProps.item.rawValue.value === props.value ? "true" : undefined}
+        >
+          <Select.ItemLabel>{itemProps.item.rawValue.label}</Select.ItemLabel>
+        </Select.Item>
+      )}
+      onChange={(option) => {
+        if (!option || option.value === props.value) return
+        window.location.assign(option.href)
+      }}
+    >
+      <Select.Trigger
+        data-slot="stats-breadcrumb-select-trigger"
+        data-current={props.current ? "true" : undefined}
+        data-variant={props.variant}
+        aria-label={props.ariaLabel}
+        aria-current={props.current ? "page" : undefined}
+      >
+        <Select.Value<BreadcrumbSelectOption> data-slot="stats-breadcrumb-select-value">
+          {(state) => <span>{state.selectedOption()?.label ?? props.label}</span>}
+        </Select.Value>
+        <Select.Icon data-slot="stats-breadcrumb-select-icon">
+          <svg width="16" height="16" viewBox="0 0 16 16" aria-hidden="true">
+            <path d="M5 6.5L8 9.5L11 6.5" fill="none" stroke="currentColor" />
+          </svg>
+        </Select.Icon>
+      </Select.Trigger>
+      <Select.HiddenSelect />
+      <Select.Content data-component="stats-breadcrumb-select-content" data-variant={props.variant}>
+        <Select.Listbox data-slot="stats-breadcrumb-select-listbox" />
+      </Select.Content>
+    </Select>
+  )
+}

packages/stats/app/src/routes/compare/index.tsx

@@ -134,7 +134,7 @@ export default function ModelCompareIndex() {
                 Data
               </a>
               <span data-slot="compare-home-separator">/</span>
-              <span data-slot="compare-home-crumb" data-current="true">
+              <span data-slot="compare-home-crumb" data-current="true" aria-current="page">
                 Compare
               </span>
             </nav>

packages/stats/app/src/routes/index.css

@@ -2888,7 +2888,7 @@
   padding: 0 8px;
   overflow: hidden;
   background: var(--stats-layer-2);
-  color: var(--stats-faint);
+  color: var(--stats-hero-muted);
   font-size: 13px;
   font-weight: 500;
   line-height: 1.1;
@@ -2897,21 +2897,7 @@
 }
 
 [data-page="stats"] a[data-slot="lab-hero-crumb"] {
-  color: var(--stats-faint);
-}
-
-[data-page="stats"] [data-component="lab-hero-menu"] {
-  position: relative;
-  display: inline-block;
-}
-
-[data-page="stats"] [data-component="lab-hero-menu"] summary {
-  cursor: pointer;
-  list-style: none;
-}
-
-[data-page="stats"] [data-component="lab-hero-menu"] summary::-webkit-details-marker {
-  display: none;
+  color: var(--stats-hero-muted);
 }
 
 [data-page="stats"] [data-slot="lab-hero-crumb"][data-current="true"] {
@@ -2920,9 +2906,7 @@
 }
 
 [data-page="stats"] a[data-slot="lab-hero-crumb"]:hover,
-[data-page="stats"] a[data-slot="lab-hero-crumb"]:focus-visible,
-[data-page="stats"] summary[data-slot="lab-hero-crumb"]:hover,
-[data-page="stats"] summary[data-slot="lab-hero-crumb"]:focus-visible {
+[data-page="stats"] a[data-slot="lab-hero-crumb"]:focus-visible {
   color: var(--stats-text);
   outline: none;
   text-decoration: none;
@@ -2941,57 +2925,6 @@
   color: currentColor;
 }
 
-[data-page="stats"] [data-component="lab-hero-menu"][open] [data-slot="lab-hero-crumb"] svg {
-  transform: rotate(180deg);
-}
-
-[data-page="stats"] [data-slot="lab-hero-options"] {
-  position: absolute;
-  top: calc(100% + 8px);
-  left: 50%;
-  z-index: 5;
-  display: grid;
-  width: max-content;
-  min-width: 180px;
-  max-width: min(280px, calc(100vw - 48px));
-  max-height: min(360px, calc(100vh - 160px));
-  padding: 6px;
-  overflow: auto;
-  border: 1px solid var(--stats-line);
-  background: var(--stats-bg);
-  box-shadow: 0 12px 32px #0000001a;
-  transform: translateX(-50%);
-}
-
-[data-page="stats"] [data-slot="lab-hero-option"] {
-  display: flex;
-  align-items: center;
-  min-width: 0;
-  height: 30px;
-  padding: 0 8px;
-  overflow: hidden;
-  color: var(--stats-muted);
-  font-size: 13px;
-  font-weight: 500;
-  line-height: 1.2;
-  text-decoration: none;
-  text-overflow: ellipsis;
-  white-space: nowrap;
-}
-
-[data-page="stats"] [data-slot="lab-hero-option"]:hover,
-[data-page="stats"] [data-slot="lab-hero-option"]:focus-visible {
-  background: var(--stats-layer-2);
-  color: var(--stats-text);
-  outline: none;
-  text-decoration: none;
-}
-
-[data-page="stats"] [data-slot="lab-hero-option"][data-current="true"] {
-  background: var(--stats-layer-2);
-  color: var(--stats-text);
-}
-
 [data-page="stats"] [data-slot="lab-hero-separator"] {
   display: inline-flex;
   align-items: center;
@@ -3113,29 +3046,147 @@
   white-space: nowrap;
 }
 
-[data-page="stats"] [data-slot="model-hero-crumb"][data-current="true"] {
+[data-page="stats"] a[data-slot="model-hero-crumb"] {
+  color: var(--stats-hero-muted);
+}
+
+[data-page="stats"] [data-slot="model-hero-crumb"][data-menu="true"] {
   padding-right: 4px;
 }
 
-[data-page="stats"] [data-component="model-hero-menu"] {
-  position: relative;
-  display: inline-block;
+[data-page="stats"] [data-slot="model-hero-crumb"][data-current="true"] {
+  color: var(--stats-text);
+}
+
+[data-page="stats"] [data-component="stats-breadcrumb-select"] {
+  display: inline-flex;
   min-width: 0;
 }
 
-[data-page="stats"] [data-component="model-hero-menu"] summary {
+[data-page="stats"] [data-slot="stats-breadcrumb-select-trigger"] {
+  display: inline-flex;
+  align-items: center;
+  justify-content: flex-start;
+  gap: 4px;
+  flex: 0 1 auto;
+  max-width: min(100%, 280px);
+  height: 24px;
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0 4px 0 8px;
+  overflow: hidden;
+  border: 0;
+  border-radius: 0;
+  appearance: none;
+  background: var(--stats-layer-2);
+  color: var(--stats-hero-muted);
+  font: inherit;
+  font-size: 13px;
+  font-weight: 500;
+  line-height: 1.1;
+  text-align: center;
+  white-space: nowrap;
   cursor: pointer;
-  list-style: none;
 }
 
-[data-page="stats"] [data-component="model-hero-menu"] summary::-webkit-details-marker {
-  display: none;
+[data-page="stats"] [data-slot="stats-breadcrumb-select-trigger"][data-current="true"],
+[data-page="stats"] [data-slot="stats-breadcrumb-select-trigger"]:hover,
+[data-page="stats"] [data-slot="stats-breadcrumb-select-trigger"][data-expanded] {
+  color: var(--stats-text);
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-trigger"]:focus-visible {
+  color: var(--stats-text);
+  outline: 1px solid var(--stats-text);
+  outline-offset: 2px;
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-value"] {
+  min-width: 0;
+  overflow: hidden;
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-value"] span {
+  display: block;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-icon"] {
+  display: inline-flex;
+  flex: 0 0 auto;
+  color: var(--stats-faint);
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-icon"] svg {
+  width: 16px;
+  height: 16px;
+  color: currentColor;
+}
+
+[data-page="stats"]
+  [data-slot="stats-breadcrumb-select-trigger"][data-expanded]
+  [data-slot="stats-breadcrumb-select-icon"] {
+  transform: rotate(180deg);
+}
+
+[data-page="stats"] [data-popper-positioner]:has([data-component="stats-breadcrumb-select-content"]) {
+  z-index: 20;
+}
+
+[data-page="stats"] [data-component="stats-breadcrumb-select-content"] {
+  z-index: 20;
+  width: max-content;
+  min-width: 180px;
+  max-width: min(360px, calc(100vw - 48px));
+  overflow: hidden;
+  border: 1px solid var(--stats-line);
+  background: var(--stats-bg);
+  box-shadow: 0 12px 32px #0000001a;
+}
+
+[data-page="stats"] [data-component="stats-breadcrumb-select-content"][data-variant="lab"] {
+  max-width: min(280px, calc(100vw - 48px));
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-listbox"] {
+  display: grid;
+  max-height: min(360px, calc(100vh - 160px));
+  box-sizing: border-box;
+  margin: 0;
+  padding: 6px;
+  overflow: auto;
+  list-style: none;
+  outline: none;
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-option"] {
+  display: flex;
+  align-items: center;
+  min-width: 0;
+  height: 30px;
+  box-sizing: border-box;
+  padding: 0 8px;
+  overflow: hidden;
+  color: var(--stats-muted);
+  font-size: 13px;
+  font-weight: 500;
+  line-height: 1.2;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  cursor: pointer;
+  outline: none;
+}
+
+[data-page="stats"] [data-slot="stats-breadcrumb-select-option"][data-highlighted],
+[data-page="stats"] [data-slot="stats-breadcrumb-select-option"][data-selected] {
+  background: var(--stats-layer-2);
+  color: var(--stats-text);
 }
 
 [data-page="stats"] a[data-slot="model-hero-crumb"]:hover,
-[data-page="stats"] a[data-slot="model-hero-crumb"]:focus-visible,
-[data-page="stats"] summary[data-slot="model-hero-crumb"]:hover,
-[data-page="stats"] summary[data-slot="model-hero-crumb"]:focus-visible {
+[data-page="stats"] a[data-slot="model-hero-crumb"]:focus-visible {
   color: var(--stats-text);
   outline: none;
   text-decoration: none;
@@ -3151,58 +3202,7 @@
   flex: 0 0 auto;
   width: 16px;
   height: 16px;
-  color: var(--stats-faint);
-}
-
-[data-page="stats"] [data-component="model-hero-menu"][open] [data-slot="model-hero-crumb"] svg {
-  transform: rotate(180deg);
-}
-
-[data-page="stats"] [data-slot="model-hero-options"] {
-  position: absolute;
-  top: calc(100% + 8px);
-  left: 50%;
-  z-index: 5;
-  display: grid;
-  width: max-content;
-  min-width: 180px;
-  max-width: min(360px, calc(100vw - 48px));
-  max-height: min(360px, calc(100vh - 160px));
-  padding: 6px;
-  overflow: auto;
-  border: 1px solid var(--stats-line);
-  background: var(--stats-bg);
-  box-shadow: 0 12px 32px #0000001a;
-  transform: translateX(-50%);
-}
-
-[data-page="stats"] [data-slot="model-hero-option"] {
-  display: flex;
-  align-items: center;
-  min-width: 0;
-  height: 30px;
-  padding: 0 8px;
-  overflow: hidden;
-  color: var(--stats-muted);
-  font-size: 13px;
-  font-weight: 500;
-  line-height: 1.2;
-  text-decoration: none;
-  text-overflow: ellipsis;
-  white-space: nowrap;
-}
-
-[data-page="stats"] [data-slot="model-hero-option"]:hover,
-[data-page="stats"] [data-slot="model-hero-option"]:focus-visible {
-  background: var(--stats-layer-2);
-  color: var(--stats-text);
-  outline: none;
-  text-decoration: none;
-}
-
-[data-page="stats"] [data-slot="model-hero-option"][data-current="true"] {
-  background: var(--stats-layer-2);
-  color: var(--stats-text);
+  color: currentColor;
 }
 
 [data-page="stats"] [data-slot="model-hero-separator"] {
@@ -5533,6 +5533,14 @@
   white-space: nowrap;
 }
 
+[data-page="stats"] a[data-slot="compare-home-crumb"] {
+  color: var(--stats-hero-muted);
+}
+
+[data-page="stats"] [data-component="compare-home-breadcrumb"] [data-slot="compare-home-crumb"][data-current="true"] {
+  color: var(--stats-text);
+}
+
 [data-page="stats"] a[data-slot="compare-home-crumb"]:hover,
 [data-page="stats"] a[data-slot="compare-home-crumb"]:focus-visible {
   color: var(--stats-text);
@@ -7876,6 +7884,10 @@
     max-width: min(100%, 240px);
   }
 
+  [data-page="stats"] [data-component="model-hero-breadcrumb"] [data-slot="stats-breadcrumb-select-trigger"] {
+    max-width: min(100%, 240px);
+  }
+
   [data-page="stats"] [data-slot="model-hero-title-row"] {
     flex-wrap: wrap;
     gap: 16px;
@@ -7967,10 +7979,6 @@
     min-width: 48px;
   }
 
-  [data-page="stats"] [data-slot="lab-hero-options"] {
-    max-width: calc(100vw - 48px);
-  }
-
   [data-page="stats"] [data-component="lab-related-list"] {
     grid-auto-columns: minmax(320px, 392px);
     grid-auto-flow: column;

packages/stats/core/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/stats-core",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/stats/server/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/stats-server",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/tui/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "name": "@opencode-ai/tui",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "private": true,
   "type": "module",
   "license": "MIT",

packages/tui/src/context/theme.tsx

@@ -4,7 +4,6 @@ import {
   DEFAULT_THEMES,
   addTheme,
   allThemes,
-  generateSubtleSyntax,
   generateSyntax,
   generateSystem,
   hasTheme,
@@ -269,7 +268,6 @@ export const { use: useTheme, provider: ThemeProvider } = createSimpleContext({
     createEffect(() => renderer.setBackgroundColor(values().background))
 
     const syntax = createSyntaxStyleMemo(() => generateSyntax(values()))
-    const subtleSyntax = createSyntaxStyleMemo(() => generateSubtleSyntax(values()))
 
     return {
       theme: new Proxy(values(), {
@@ -284,7 +282,6 @@ export const { use: useTheme, provider: ThemeProvider } = createSimpleContext({
       all: allThemes,
       has: hasTheme,
       syntax,
-      subtleSyntax,
       mode: () => store.mode,
       locked: () => store.lock !== undefined,
       lock: () => pin(store.mode),

packages/ui/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/ui",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "type": "module",
   "license": "MIT",
   "repository": {

packages/web/package.json

@@ -2,7 +2,7 @@
   "name": "@opencode-ai/web",
   "type": "module",
   "license": "MIT",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "scripts": {
     "dev": "astro dev",
     "dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",

sdks/vscode/package.json

@@ -2,7 +2,7 @@
   "name": "opencode",
   "displayName": "opencode",
   "description": "opencode for VS Code",
-  "version": "1.17.18",
+  "version": "1.17.19",
   "publisher": "sst-dev",
   "repository": {
     "type": "git",