fix(app): preserve draft new-tab action in settings

Merge branch 'v2' into settings-tab-focus
test(app): isolate component coverage with storybook (#45142 )
2026-10-26 02:14:43 +08:00 · 2026-08-27 02:56:30 +08:00 · 2026-08-27 02:42:48 +08:00 · 2026-08-27 02:42:27 +08:00 · 2026-08-27 02:37:03 +08:00 · 2026-08-26 18:32:55 +00:00
393 changed files with 14561 additions and 4783 deletions
@@ -42,7 +42,7 @@ jobs:
      - name: Find affected packages
        id: packages
        env:
-          TURBO_SCM_BASE: ${{ github.event.pull_request.base.sha || github.event.before }}
+          TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
          TURBO_SCM_HEAD: ${{ github.sha }}
        run: |
          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
@@ -71,6 +71,7 @@ jobs:
        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
+          fetch-depth: 0

      - name: Setup Node
        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
@@ -110,9 +111,16 @@ jobs:

      - name: Run unit tests
        timeout-minutes: 20
-        run: GITHUB_ACTIONS=false bun turbo test
+        run: |
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
+            GITHUB_ACTIONS=false bun turbo test
+            exit 0
+          fi
+          GITHUB_ACTIONS=false bun turbo test --affected
        env:
          OPENCODE_EXPERIMENTAL_DISABLE_FILEWATCHER: ${{ runner.os == 'Windows' && 'true' || 'false' }}
+          TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
+          TURBO_SCM_HEAD: ${{ github.sha }}

      - name: Verify published codemode package
        if: runner.os == 'Linux'
@@ -122,8 +130,15 @@ jobs:
      - name: Verify packed workerd SDK
        if: runner.os == 'Linux'
        timeout-minutes: 15
-        working-directory: packages/sdk
-        run: bun run verify:package
+        run: |
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
+            bun turbo verify:package --filter=@opencode-ai/sdk
+            exit 0
+          fi
+          bun turbo verify:package --affected --filter=@opencode-ai/sdk
+        env:
+          TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
+          TURBO_SCM_HEAD: ${{ github.sha }}

      - name: Verify compiled service lifecycle
        if: always()
@@ -125,6 +125,7 @@
        "@effect/platform-node": "catalog:",
        "@opencode-ai/client": "workspace:*",
        "@opencode-ai/plugin": "workspace:*",
+        "@opencode-ai/pty": "0.1.10",
        "@opencode-ai/schema": "workspace:*",
        "@opencode-ai/server": "workspace:*",
        "@opencode-ai/tui": "workspace:*",
@@ -346,18 +347,14 @@
        "@ai-sdk/amazon-bedrock": "4.0.112",
        "@ai-sdk/anthropic": "3.0.82",
        "@ai-sdk/azure": "3.0.88",
-        "@ai-sdk/cerebras": "2.0.41",
        "@ai-sdk/cohere": "3.0.27",
-        "@ai-sdk/deepinfra": "2.0.41",
        "@ai-sdk/gateway": "3.0.104",
        "@ai-sdk/google-vertex": "4.0.128",
-        "@ai-sdk/groq": "3.0.31",
        "@ai-sdk/mistral": "3.0.51",
        "@ai-sdk/openai-compatible": "2.0.41",
        "@ai-sdk/perplexity": "3.0.26",
        "@ai-sdk/provider": "3.0.8",
        "@ai-sdk/provider-utils": "4.0.23",
-        "@ai-sdk/togetherai": "2.0.41",
        "@ai-sdk/vercel": "2.0.39",
        "@aws-sdk/credential-providers": "3.1057.0",
        "@ff-labs/fff-bun": "0.10.5",
@@ -367,6 +364,7 @@
        "@opencode-ai/ai": "workspace:*",
        "@opencode-ai/codemode": "workspace:*",
        "@opencode-ai/plugin": "workspace:*",
+        "@opencode-ai/pty": "0.1.10",
        "@opencode-ai/schema": "workspace:*",
        "@opencode-ai/util": "workspace:*",
        "@parcel/watcher": "2.5.1",
@@ -667,6 +665,7 @@
      "dependencies": {
        "@opencode-ai/client": "workspace:*",
        "@opencode-ai/core": "workspace:*",
+        "@opencode-ai/plugin": "workspace:*",
        "@opencode-ai/schema": "workspace:*",
        "@opencode-ai/server": "workspace:*",
        "@opencode-ai/util": "workspace:*",
@@ -732,6 +731,7 @@
      },
      "devDependencies": {
        "@happy-dom/global-registrator": "20.0.11",
+        "@playwright/test": "catalog:",
        "@tsconfig/node22": "catalog:",
        "@types/bun": "catalog:",
        "@types/luxon": "catalog:",
@@ -837,6 +837,7 @@
        "@opencode-ai/client": "workspace:*",
        "@opencode-ai/session-ui": "workspace:*",
        "@opencode-ai/ui": "workspace:*",
+        "@playwright/test": "catalog:",
        "@solidjs/meta": "catalog:",
        "@storybook/addon-a11y": "10.4.4",
        "@storybook/addon-docs": "10.4.4",
@@ -973,6 +974,7 @@
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
+        "@effect/platform-node-shared": "catalog:",
        "@npmcli/arborist": "catalog:",
        "@npmcli/config": "10.8.1",
        "@opentelemetry/api": "1.9.0",
@@ -1178,8 +1180,6 @@

    "@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.52", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.46" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-8pcrQvEQCbvrrQKnD6hclBbI0hUgSrgyADykRbabxv/g9vPurfMC6n23J7dD+KZ3EcCoW+qz3IUIfySJ58gBOg=="],

-    "@ai-sdk/deepinfra": ["@ai-sdk/deepinfra@2.0.41", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.37", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-y6RoOP7DGWmDSiSxrUSt5p18sbz+Ixe5lMVPmdE7x+Tr5rlrzvftyHhjWHfqlAtoYERZTGFbP6tPW1OfQcrb4A=="],
-
    "@ai-sdk/deepseek": ["@ai-sdk/deepseek@2.0.47", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MzcQ321JO8OY+TVLFI81A7cIIuoeLLxrLCDD+8C1E3Ro6UFyfMtRXo9bw9OhTMRSDMo6hgSDOo4Fekz8aJtQYQ=="],

    "@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.52", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.46" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZgkausouWvO9U4ZtowNJ093bSNYOvH8zqls3uLC3+oxzWvbbTZO8SOdmFk0+gGafsXFJvq2yUX9+rEeJPwOJLw=="],
@@ -1206,8 +1206,6 @@

    "@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.23", "", { "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-z8GlDaCmRSDlqkMF2f4/RFgWxdarvIbyuk+m6WXT1LYgsnGiXRJGTD2Z1+SDl3LqtFuRtGX1aghYvQLoHL/9pg=="],

-    "@ai-sdk/togetherai": ["@ai-sdk/togetherai@2.0.41", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.37", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-k3p9e3k0/gpDDyTtvafsK4HYR4D/aUQW/kzCwWo1+CzdBU84i4L14gWISC/mv6tgSicMXHcEUd521fPufQwNlg=="],
-
    "@ai-sdk/vercel": ["@ai-sdk/vercel@2.0.39", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.37", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-8eu3ljJpkCTP4ppcyYB+NcBrkcBoSOFthCSgk5VnjaxnDaOJFaxnPwfddM7wx3RwMk2CiK1O61Px/LlqNc7QkQ=="],

    "@ai-sdk/xai": ["@ai-sdk/xai@3.0.123", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.69", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.46" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-WNASvd1C516oh2qYIj9EvAVPdU+Abads8DQWU6p9lQtvFFeGh8QW+3LDOARZd1GCINUFfw5yadEK845SMQKLsA=="],
@@ -2160,6 +2158,20 @@

    "@opencode-ai/protocol": ["@opencode-ai/protocol@workspace:packages/protocol"],

+    "@opencode-ai/pty": ["@opencode-ai/pty@0.1.10", "", { "optionalDependencies": { "@opencode-ai/pty-darwin-arm64": "0.1.10", "@opencode-ai/pty-darwin-x64": "0.1.10", "@opencode-ai/pty-linux-arm64-gnu": "0.1.10", "@opencode-ai/pty-linux-arm64-musl": "0.1.10", "@opencode-ai/pty-linux-x64-gnu": "0.1.10", "@opencode-ai/pty-linux-x64-musl": "0.1.10" }, "bin": { "opencode-pty": "bin/opencode-pty.js" } }, "sha512-cEJT1ADtmnb+df2wrlUcsGny6Q7pTe9Sa7keISzCO0xN1FrL1aS6+eleBPpDimHjgM/sXqvLwJv0UiAeiAvgxQ=="],
+
+    "@opencode-ai/pty-darwin-arm64": ["@opencode-ai/pty-darwin-arm64@0.1.10", "", { "os": "darwin", "cpu": "arm64" }, "sha512-j7aszDFRwCIazGUT9eIy4PZwh4rltjvRmoicPRTK3kONN3v0MMflstkmAFDYYpqDPTNh3qJ6xkQmB+DugEbhAg=="],
+
+    "@opencode-ai/pty-darwin-x64": ["@opencode-ai/pty-darwin-x64@0.1.10", "", { "os": "darwin", "cpu": "x64" }, "sha512-UAMP/E4lo9RGQF7xrfIwpW2ZEemj308rCogJy14ruKYJt5MwHeGNTynGiHE/1JlDLRy+21wV50jpugADgT71ag=="],
+
+    "@opencode-ai/pty-linux-arm64-gnu": ["@opencode-ai/pty-linux-arm64-gnu@0.1.10", "", { "os": "linux", "cpu": "arm64" }, "sha512-lTPlZNQ66koFHZqoPmvvq0SetlepKVQYgnLryhlVfYtcryWDJM7gV4+P66V12RwqWQTjt2u8j12mtg3axSKg2w=="],
+
+    "@opencode-ai/pty-linux-arm64-musl": ["@opencode-ai/pty-linux-arm64-musl@0.1.10", "", { "os": "linux", "cpu": "arm64" }, "sha512-IDmWHRylMR/ZfMw9/AAktO/Edi4TITPC+Tq7Xx3JZHsDgSba3QdyE11uNL0zM1myTGdk6Yrt4rpdAzaItPnDjw=="],
+
+    "@opencode-ai/pty-linux-x64-gnu": ["@opencode-ai/pty-linux-x64-gnu@0.1.10", "", { "os": "linux", "cpu": "x64" }, "sha512-Q1yob0/8X2JoJZzFmNKUc32XDRAe0avKQ8PLKkpJr30qWXSrGmhltgcDmn94Q70zW9Ght9on84T7cmge9brvdQ=="],
+
+    "@opencode-ai/pty-linux-x64-musl": ["@opencode-ai/pty-linux-x64-musl@0.1.10", "", { "os": "linux", "cpu": "x64" }, "sha512-7RLHWQxX/wfUKJJP2ZMMtkXaPsrgoMNKzE6PL/LbnYbMBtkqfld9EDcMv1RFZ0CqjNFgI0Hg4eRk6x+ZNc/wyQ=="],
+
    "@opencode-ai/schema": ["@opencode-ai/schema@workspace:packages/schema"],

    "@opencode-ai/script": ["@opencode-ai/script@workspace:packages/script"],
@@ -5912,10 +5924,6 @@

    "@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.46", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^6.28.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-tEtld97plCFiYevsJuOkGkeuhQndeMWFBVrJS4AjnbD5AqrNSXRCe0p+BZ3Cju/sxDeeZ9ym3q9YUV8fASA7aQ=="],

-    "@ai-sdk/deepinfra/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.37", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-+POSFVcgiu47BK64dhsI6OpcDC0/VAE2ZSaXdXGNNhpC/ava++uSRJYks0k2bpfY0wwCTgpAWZsXn/dG2Yppiw=="],
-
-    "@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=="],
-
    "@ai-sdk/deepseek/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],

    "@ai-sdk/deepseek/@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=="],
@@ -5954,10 +5962,6 @@

    "@ai-sdk/perplexity/@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-sdk/togetherai/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.37", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-+POSFVcgiu47BK64dhsI6OpcDC0/VAE2ZSaXdXGNNhpC/ava++uSRJYks0k2bpfY0wwCTgpAWZsXn/dG2Yppiw=="],
-
-    "@ai-sdk/togetherai/@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-sdk/vercel/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.37", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-+POSFVcgiu47BK64dhsI6OpcDC0/VAE2ZSaXdXGNNhpC/ava++uSRJYks0k2bpfY0wwCTgpAWZsXn/dG2Yppiw=="],

    "@ai-sdk/vercel/@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=="],
@@ -2,7 +2,7 @@
 exact = true
 # Only install newly resolved package versions published at least 3 days ago.
 minimumReleaseAge = 259200
-minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@ai-sdk/anthropic", "@brendonovich/vite-plugin-opencode", "@opencode-ai/sdk", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-arm64-musl", "@opentui/core-linux-x64", "@opentui/core-linux-x64-musl", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "opentui-spinner", "gitlab-ai-provider", "opencode-gitlab-auth", "@ff-labs/fff-node", "@ff-labs/fff-bun", "@ff-labs/fff-bin-darwin-arm64", "@ff-labs/fff-bin-darwin-x64", "@ff-labs/fff-bin-linux-arm64-gnu", "@ff-labs/fff-bin-linux-arm64-musl", "@ff-labs/fff-bin-linux-x64-gnu", "@ff-labs/fff-bin-linux-x64-musl", "@ff-labs/fff-bin-win32-arm64", "@ff-labs/fff-bin-win32-x64", "@pierre/diffs", "@pierre/theming", "app-builder-lib", "dmg-builder", "electron-builder", "electron-publish", "blume"]
+minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@ai-sdk/anthropic", "@brendonovich/vite-plugin-opencode", "@opencode-ai/sdk", "@opencode-ai/pty", "@opencode-ai/pty-darwin-arm64", "@opencode-ai/pty-darwin-x64", "@opencode-ai/pty-linux-arm64-gnu", "@opencode-ai/pty-linux-arm64-musl", "@opencode-ai/pty-linux-x64-gnu", "@opencode-ai/pty-linux-x64-musl", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-arm64-musl", "@opentui/core-linux-x64", "@opentui/core-linux-x64-musl", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "opentui-spinner", "gitlab-ai-provider", "opencode-gitlab-auth", "@ff-labs/fff-node", "@ff-labs/fff-bun", "@ff-labs/fff-bin-darwin-arm64", "@ff-labs/fff-bin-darwin-x64", "@ff-labs/fff-bin-linux-arm64-gnu", "@ff-labs/fff-bin-linux-arm64-musl", "@ff-labs/fff-bin-linux-x64-gnu", "@ff-labs/fff-bin-linux-x64-musl", "@ff-labs/fff-bin-win32-arm64", "@ff-labs/fff-bin-win32-x64", "@pierre/diffs", "@pierre/theming", "app-builder-lib", "dmg-builder", "electron-builder", "electron-publish", "blume"]

 [test]
 root = "./do-not-run-tests-from-root"
@@ -1,8 +1,8 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-3Jx1Q7hl+Y0Log/k2vd5y6dzBpzFKWlhShPESxn1Rm4=",
-    "aarch64-linux": "sha256-EiiI6g01oBIrExCMAUgT3w82P0fvu4FAJhI32C+ze0I=",
-    "aarch64-darwin": "sha256-s+w49HRp1+ewtiTaU65tPWjUiO1NQw3kzfemMEEQZb0=",
-    "x86_64-darwin": "sha256-/Ee5V7pnL/qm3c4ZHeWEjH7FhGVXArXryOugbG5vsz8="
+    "x86_64-linux": "sha256-2IiQK8EPwoDber8epX9NlZhaQwvDyN17nTMSPEjtk4s=",
+    "aarch64-linux": "sha256-/ggedGSQ2RWbhX/CahTpLz1TLqlf+hu95u1ys9F/CdI=",
+    "aarch64-darwin": "sha256-RaEiXwQEfpFiehG4m3IMulopP1b54PtrAECY+e2aJ6Q=",
+    "x86_64-darwin": "sha256-MANNi8GyHkvJzU7Xw6FQJHsx3fBCFJfGqlSOY9zez7k="
  }
 }
@@ -157,9 +157,9 @@ const PROVIDERS: ReadonlyArray<Provider> = [
    id: "togetherai",
    label: "TogetherAI",
    tier: "compatible",
-    note: "Existing OpenAI-compatible text/tool recorded tests",
-    vars: [{ name: "TOGETHER_AI_API_KEY" }],
-    validate: (env) => validateBearer("https://api.together.xyz/v1/models", Redacted.make(env.TOGETHER_AI_API_KEY)),
+    note: "Native Together AI text/tool recorded tests",
+    vars: [{ name: "TOGETHER_API_KEY" }],
+    validate: (env) => validateBearer("https://api.together.xyz/v1/models", Redacted.make(env.TOGETHER_API_KEY)),
  },
  {
    id: "minimax",
@@ -200,8 +200,8 @@ const PROVIDERS: ReadonlyArray<Provider> = [
  {
    id: "cerebras",
    label: "Cerebras",
-    tier: "optional",
-    note: "OpenAI-compatible bridge",
+    tier: "compatible",
+    note: "Native Cerebras text/tool/tool-loop recorded tests",
    vars: [{ name: "CEREBRAS_API_KEY" }],
    validate: (env) => validateBearer("https://api.cerebras.ai/v1/models", Redacted.make(env.CEREBRAS_API_KEY)),
  },
@@ -36,7 +36,12 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // Protocols whose wire format ignores inline cache markers (OpenAI's implicit
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
-const RESPECTS_INLINE_HINTS = new Set(["anthropic-messages", "bedrock-converse", "openrouter"])
+const RESPECTS_INLINE_HINTS = new Set([
+  "anthropic-messages",
+  "google-vertex-messages",
+  "bedrock-converse",
+  "openrouter",
+])

 const makeHint = (ttlSeconds: number | undefined): CacheHint =>
  ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })
@@ -69,14 +69,22 @@ export interface OptionsInput {
  // SDK Metadata:2649 {user_id?: string | null}
  readonly metadata?: { readonly user_id?: string | null }
  // SDK MessageCreateParamsContainer:2596 ContainerParams|string
-  readonly container?: string | { readonly id?: string | null; readonly skills?: ReadonlyArray<Record<string, unknown>> | null }
+  readonly container?:
+    | string
+    | { readonly id?: string | null; readonly skills?: ReadonlyArray<Record<string, unknown>> | null }
  readonly inference_geo?: string | null
  readonly inferenceGeo?: string | null
  readonly cache_control?: { readonly type: "ephemeral"; readonly ttl?: "5m" | "1h" }
  readonly cacheControl?: { readonly type: "ephemeral"; readonly ttl?: "5m" | "1h" }
  // SDK OutputConfig:2684 {effort, format: JSONOutputFormat}
-  readonly output_config?: { readonly effort?: string | null; readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null }
-  readonly outputConfig?: { readonly effort?: string | null; readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null }
+  readonly output_config?: {
+    readonly effort?: string | null
+    readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null
+  }
+  readonly outputConfig?: {
+    readonly effort?: string | null
+    readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null
+  }
 }

 export type ProviderOptionsInput = OptionsInput
@@ -259,7 +267,11 @@ const AnthropicToolChoice = Schema.Union([
    type: Schema.Literals(["auto", "any", "none"]),
    disable_parallel_tool_use: Schema.optional(Schema.Boolean),
  }),
-  Schema.Struct({ type: Schema.tag("tool"), name: Schema.String, disable_parallel_tool_use: Schema.optional(Schema.Boolean) }),
+  Schema.Struct({
+    type: Schema.tag("tool"),
+    name: Schema.String,
+    disable_parallel_tool_use: Schema.optional(Schema.Boolean),
+  }),
 ])

 const AnthropicThinking = Schema.Union([
@@ -506,7 +518,11 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
  // Prefer the provider-owned replay payload; fall back to the result value for
  // histories constructed directly from provider events.
  const payload = part.providerMetadata?.anthropic?.["result"] ?? part.result.value
-  return { type: wireType, tool_use_id: scrubToolCallID(part.id), content: payload } satisfies AnthropicServerToolResultBlock
+  return {
+    type: wireType,
+    tool_use_id: scrubToolCallID(part.id),
+    content: payload,
+  } satisfies AnthropicServerToolResultBlock
 })

 const fileIdFromMetadata = (metadata: MediaPart["metadata"]): string | undefined => {
@@ -554,9 +570,7 @@ const documentContextFromMetadata = (metadata: MediaPart["metadata"]): string |
  return undefined
 }

-const citationsFromMetadata = (
-  metadata: MediaPart["metadata"],
-): AnthropicDocumentBlock["citations"] | undefined => {
+const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocumentBlock["citations"] | undefined => {
  if (!ProviderShared.isRecord(metadata)) return undefined
  const raw = ProviderShared.isRecord(metadata.anthropic)
    ? (metadata.anthropic.citations ?? metadata.citations)
@@ -706,8 +720,7 @@ const lowerToolResultContent = Effect.fnUntraced(function* (part: ToolResultPart
 })

 const requireThinkingSignature = (request: LLMRequest) => {
-  if (request.model.compatibility?.requireSignature !== undefined)
-    return request.model.compatibility.requireSignature
+  if (request.model.compatibility?.requireSignature !== undefined) return request.model.compatibility.requireSignature
  const provider = request.model.provider.toLowerCase()
  const model = request.model.id.toLowerCase()
  const baseURL = (request.model.route.endpoint.baseURL ?? "").toLowerCase()
@@ -744,9 +757,12 @@ const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
  return message.role === "assistant" && last?.type === "tool-call" && last.providerExecuted === true
 }

-const canUseNativeSystemUpdate = (messages: LLMRequest["messages"], index: number) => {
-  const previous = messages[index - 1]
-  const next = messages[index + 1]
+const canUseNativeSystemUpdate = (request: LLMRequest, index: number) => {
+  const previous = request.messages[index - 1]
+  const next = request.messages[index + 1]
+  // Vertex currently rejects/404s for a system message after local tool results,
+  // so fold it into the user tool-result turn across continuations and history.
+  if (request.model.route.id === "google-vertex-messages" && previous?.role === "tool") return false
  return (
    previous !== undefined &&
    previous.role !== "system" &&
@@ -793,7 +809,7 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
    if (message.role === "system") {
      if (splitsLocalToolResults(request.messages, index))
        return yield* invalid("Anthropic Messages system updates cannot split a local tool call from its tool result")
-      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {
+      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request, index)) {
        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))
        continue
      }
@@ -897,21 +913,24 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (

 const resolveOptions = Effect.fn("AnthropicMessages.resolveOptions")(function* (request: LLMRequest) {
  const input = request.providerOptions as Record<string, unknown> | undefined
-  const rawServiceTier = (input as Record<string, unknown> | undefined)?.service_tier ?? (input as Record<string, unknown> | undefined)?.serviceTier
+  const rawServiceTier =
+    (input as Record<string, unknown> | undefined)?.service_tier ??
+    (input as Record<string, unknown> | undefined)?.serviceTier
  const service_tier =
    rawServiceTier === "auto" || rawServiceTier === "standard_only"
      ? (rawServiceTier as "auto" | "standard_only")
      : undefined
  const rawMetadata = (input as Record<string, unknown> | undefined)?.metadata
  const metadata =
-    ProviderShared.isRecord(rawMetadata) &&
-    (typeof rawMetadata.user_id === "string" || rawMetadata.user_id === null)
+    ProviderShared.isRecord(rawMetadata) && (typeof rawMetadata.user_id === "string" || rawMetadata.user_id === null)
      ? { user_id: rawMetadata.user_id as string | null }
      : undefined
  const container =
    typeof (input as Record<string, unknown> | undefined)?.container === "string" ||
    ProviderShared.isRecord((input as Record<string, unknown> | undefined)?.container)
-      ? ((input as Record<string, unknown>).container as string | { id?: string | null; skills?: ReadonlyArray<Record<string, unknown>> | null })
+      ? ((input as Record<string, unknown>).container as
+          | string
+          | { id?: string | null; skills?: ReadonlyArray<Record<string, unknown>> | null })
      : undefined
  const rawInferenceGeo =
    (input as Record<string, unknown> | undefined)?.inference_geo ??
@@ -962,8 +981,7 @@ const resolveThinking = Effect.fn("AnthropicMessages.resolveThinking")(function*
    input.display === "summarized" || input.display === "omitted"
      ? (input.display as "summarized" | "omitted")
      : undefined
-  if (input.type === "adaptive")
-    return { type: "adaptive" as const, ...(display === undefined ? {} : { display }) }
+  if (input.type === "adaptive") return { type: "adaptive" as const, ...(display === undefined ? {} : { display }) }
  if (input.type === "disabled") return { type: "disabled" as const }
  if (input.type !== "enabled") return undefined
  const budget =
@@ -1415,9 +1433,7 @@ const step = (state: ParserState, event: AnthropicEvent) => {
      if (event.index === undefined)
        return Effect.fail(ProviderShared.eventError(ADAPTER, `Anthropic ${block.type} missing index`))
      if (!block.id)
-        return Effect.fail(
-          ProviderShared.eventError(ADAPTER, `Anthropic tool_use missing id at index ${event.index}`),
-        )
+        return Effect.fail(ProviderShared.eventError(ADAPTER, `Anthropic tool_use missing id at index ${event.index}`))
    }
    return Effect.succeed(onContentBlockStart(state, { ...event, content_block: block }))
  }
@@ -1470,10 +1486,9 @@ export const route = Route.make({
  provider: "anthropic",
  providerMetadataKey: "anthropic",
  protocol,
-  endpoint: Endpoint.path(
-    (input) => (input.request.model.provider === "anthropic" ? `${PATH}?beta=true` : PATH),
-    { baseURL: DEFAULT_BASE_URL },
-  ),
+  endpoint: Endpoint.path((input) => (input.request.model.provider === "anthropic" ? `${PATH}?beta=true` : PATH), {
+    baseURL: DEFAULT_BASE_URL,
+  }),
  auth: Auth.none,
  framing,
  headers: () => ({ "anthropic-version": "2023-06-01" }),
@@ -652,7 +652,9 @@ const step = (state: ParserState, event: BedrockEvent) =>
        method: "stream",
        reason: classifyProviderFailure({
          message:
-            event.exception.details.message ?? event.exception.details.originalMessage ?? "Bedrock Converse stream error",
+            event.exception.details.message ??
+            event.exception.details.originalMessage ??
+            "Bedrock Converse stream error",
          code: event.exception.type,
        }),
      })
@@ -82,7 +82,9 @@ const consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8A
        "Failed to parse Bedrock Converse event-stream payload",
      )) as Record<string, unknown>
      delete parsed.p
-      out.push(messageType === "exception" ? { exception: { type: eventType, details: parsed } } : { [eventType]: parsed })
+      out.push(
+        messageType === "exception" ? { exception: { type: eventType, details: parsed } } : { [eventType]: parsed },
+      )
    }
    return [cursor, out] as const
  })
@@ -570,7 +570,12 @@ const finish = (state: ParserState): ReadonlyArray<LLMEvent> => {
      googleMetadata({ thoughtSignature: state.reasoningSignature }),
    )
  if (state.textSignature !== undefined)
-    lifecycle = Lifecycle.textEnd(lifecycle, events, "text-0", googleMetadata({ thoughtSignature: state.textSignature }))
+    lifecycle = Lifecycle.textEnd(
+      lifecycle,
+      events,
+      "text-0",
+      googleMetadata({ thoughtSignature: state.textSignature }),
+    )
  Lifecycle.finish(lifecycle, events, {
    reason: {
      normalized:
@@ -675,8 +680,9 @@ const step = (state: ParserState, event: GeminiEvent) => {
          id,
          name: part.functionCall.name,
          input,
-          providerMetadata:
-            part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,
+          providerMetadata: part.thoughtSignature
+            ? googleMetadata({ thoughtSignature: part.thoughtSignature })
+            : undefined,
        }),
      )
      hasToolCalls = true
@@ -196,7 +196,7 @@ type LoweredInputItem =
 // multiple streamed summary parts into the same item before flushing.
 type OpenResponsesReasoningInput = {
  type: "reasoning"
-  id: string
+  id?: string
  summary: Array<{ type: "summary_text"; text: string }>
  encrypted_content?: string | null
 }
@@ -346,7 +346,8 @@ export const Event = Schema.StructWithRest(
    item_id: Schema.optional(Schema.String),
    output_index: Schema.optional(Schema.Number),
    summary_index: Schema.optional(Schema.Number),
-    item: Schema.optional(StreamItem),
+    // OutputItemAdded/Done permit a null item in the Open Responses OpenAPI schema.
+    item: optionalNull(StreamItem),
    response: Schema.optional(
      Schema.StructWithRest(
        Schema.Struct({
@@ -372,9 +373,6 @@ export const Event = Schema.StructWithRest(
 )
 export type Event = Schema.Schema.Type<typeof Event>

-// Which lowered input item a persisted item id is about to be attached to.
-export type ItemKind = "message" | "reasoning" | "function-call" | "hosted-tool"
-
 export interface Extension {
  readonly id: string
  readonly name: string
@@ -384,10 +382,6 @@ export interface Extension {
    readonly request: LLMRequest
  }) => MediaInput | undefined
  readonly lowerHostedToolItem?: (item: unknown) => ExtendedHostedToolItem | undefined
-  // Optional grammar check applied before a persisted item id is resent as
-  // part of replayed history. Returning false drops the id; every lowered
-  // item treats a dropped id the same as an absent one.
-  readonly acceptsItemID?: (kind: ItemKind, id: string) => boolean
 }

 const BASE: Extension = { id: ADAPTER, name: NAME }
@@ -447,53 +441,37 @@ export const lowerToolChoice = (protocolName: string, toolChoice: NonNullable<LL
    tool: (toolName) => ({ type: "function" as const, name: toolName }),
  })

-// Servers validate item ids on replayed history, and a malformed or oversized
-// id can fail an otherwise valid request. Only server-issued tokens are worth
-// resending; anything else is treated as absent so the item is resent without
-// an id (or skipped, for items that cannot be expressed without one).
-const ITEM_ID_PATTERN = /^[A-Za-z0-9_-]{1,64}$/
+// Server-issued item ids need a nonempty prefix and suffix, but the prefix is
+// provider-defined and does not necessarily identify the item's semantic type.
 const itemID = (providerMetadata: ProviderMetadata | undefined, providerMetadataKey: string) => {
  const metadata = providerMetadata?.[providerMetadataKey]
-  return ProviderShared.isRecord(metadata) &&
-    typeof metadata.itemId === "string" &&
-    ITEM_ID_PATTERN.test(metadata.itemId)
-    ? metadata.itemId
-    : undefined
+  if (!ProviderShared.isRecord(metadata) || typeof metadata.itemId !== "string") return undefined
+  const separator = metadata.itemId.indexOf("_")
+  return separator > 0 && separator < metadata.itemId.length - 1 ? metadata.itemId : undefined
 }

-const acceptsItemID = (extension: Extension, kind: ItemKind, id: string | undefined): id is string =>
-  id !== undefined && (extension.acceptsItemID?.(kind, id) ?? true)
-
-const lowerToolCall = (
-  part: ToolCallPart,
-  providerMetadataKey: string,
-  extension: Extension,
-): OpenResponsesInputItem => {
+const lowerToolCall = (part: ToolCallPart, providerMetadataKey: string): OpenResponsesInputItem => {
  const id = itemID(part.providerMetadata, providerMetadataKey)
  return {
    type: "function_call",
-    ...(acceptsItemID(extension, "function-call", id) ? { id } : {}),
+    ...(id === undefined ? {} : { id }),
    call_id: part.id,
    name: part.name,
    arguments: ProviderShared.encodeJson(part.input),
  }
 }

-const lowerReasoning = (
-  part: ReasoningPart,
-  providerMetadataKey: string,
-  extension: Extension,
-): OpenResponsesReasoningInput | undefined => {
+const lowerReasoning = (part: ReasoningPart, providerMetadataKey: string): OpenResponsesReasoningInput | undefined => {
  const metadata = part.providerMetadata?.[providerMetadataKey]
+  if (!ProviderShared.isRecord(metadata)) return undefined
  const id = itemID(part.providerMetadata, providerMetadataKey)
-  if (!ProviderShared.isRecord(metadata) || !acceptsItemID(extension, "reasoning", id)) return undefined
  const encryptedContent =
    typeof metadata.reasoningEncryptedContent === "string" || metadata.reasoningEncryptedContent === null
      ? metadata.reasoningEncryptedContent
      : undefined
  return {
    type: "reasoning",
-    id,
+    ...(id === undefined ? {} : { id }),
    summary: part.text.length > 0 ? [{ type: "summary_text", text: part.text }] : [],
    encrypted_content: encryptedContent,
  }
@@ -584,9 +562,7 @@ const lowerToolResultOutput = Effect.fnUntraced(function* (
 })

 const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (request: LLMRequest, extension: Extension) {
-  const system: LoweredInputItem[] =
-    request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
-  const input: LoweredInputItem[] = [...system]
+  const input: LoweredInputItem[] = []
  const providerMetadataKey = request.model.route.providerMetadataKey ?? "openresponses"

  for (const message of request.messages) {
@@ -616,8 +592,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques
          Array<{ id: string | undefined; phase: MessagePhase | null | undefined; parts: TextPart[] }>
        >((groups, part) => {
          const metadata = part.providerMetadata?.[providerMetadataKey]
-          const rawID = itemID(part.providerMetadata, providerMetadataKey)
-          const id = acceptsItemID(extension, "message", rawID) ? rawID : undefined
+          const id = itemID(part.providerMetadata, providerMetadataKey)
          const phase = ProviderShared.isRecord(metadata) ? messagePhase(metadata.phase) : undefined
          const group = groups.at(-1)
          if (group && group.id === id && group.phase === phase) group.parts.push(part)
@@ -642,23 +617,23 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques
        }
        if (part.type === "reasoning") {
          flushText()
-          const reasoning = lowerReasoning(part, providerMetadataKey, extension)
+          const reasoning = lowerReasoning(part, providerMetadataKey)
          if (!reasoning) continue
-          const existing = reasoningItems[reasoning.id]
+          const existing = reasoning.id === undefined ? undefined : reasoningItems[reasoning.id]
          if (existing) {
            existing.summary.push(...reasoning.summary)
            if (typeof reasoning.encrypted_content === "string")
              existing.encrypted_content = reasoning.encrypted_content
            continue
          }
-          reasoningItems[reasoning.id] = reasoning
+          if (reasoning.id !== undefined) reasoningItems[reasoning.id] = reasoning
          input.push(reasoning)
          continue
        }
        if (part.type === "tool-call") {
          flushText()
          if (part.providerExecuted === true) continue
-          input.push(lowerToolCall(part, providerMetadataKey, extension))
+          input.push(lowerToolCall(part, providerMetadataKey))
          continue
        }
        if (part.type === "tool-result" && part.providerExecuted === true) {
@@ -670,7 +645,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques
              : Schema.is(HostedToolItem)(part.result.value)
                ? part.result.value
                : extension.lowerHostedToolItem?.(part.result.value)
-          if (acceptsItemID(extension, "hosted-tool", id) && hosted?.id === id) {
+          if (id !== undefined && hosted?.id === id) {
            if (!hostedToolItems.has(id)) {
              input.push(hosted)
              hostedToolItems.add(id)
@@ -716,10 +691,11 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (reques

 const lowerOptions = (request: LLMRequest) => {
  const options = OpenResponsesOptions.resolve(request)
+  const instructions = ProviderShared.joinText(request.system)
  const cacheKey = ProviderShared.promptCacheKey(request)
  const parallelToolCalls = resolveParallelToolCalls(request)
  return {
-    ...(options.instructions ? { instructions: options.instructions } : {}),
+    ...(instructions ? { instructions } : {}),
    ...(options.store !== undefined ? { store: options.store } : {}),
    ...(options.metadata ? { metadata: options.metadata } : {}),
    ...(options.safetyIdentifier ? { safety_identifier: options.safetyIdentifier } : {}),
@@ -837,7 +813,7 @@ export const providerMetadata = (state: ParserState, metadata: Record<string, un
 })

 const isReasoningItem = (item: StreamItem): item is StreamItem & { type: "reasoning"; id: string } =>
-  item.type === "reasoning" && typeof item.id === "string" && item.id.length > 0
+  item.type === "reasoning" && typeof item.id === "string"

 export type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]

@@ -916,7 +892,7 @@ const reasoningMetadata = (state: ParserState, item: StreamItem & { id: string }
 // best-effort, not guaranteed.
 const onOutputItemAdded = (state: ParserState, event: Event): StepResult => {
  const item = event.item
-  if (item?.type === "message" && item.id) {
+  if (item?.type === "message" && item.id !== undefined) {
    const phase = messagePhase(item.phase)
    return [
      {
@@ -945,30 +921,28 @@ const onOutputItemAdded = (state: ParserState, event: Event): StepResult => {
      events,
    ]
  }
-  if (item?.type !== "function_call" || !item.id) return [state, NO_EVENTS]
-  const metadata = providerMetadata(state, { itemId: item.id })
+  if (item?.type !== "function_call" || !item.call_id) return [state, NO_EVENTS]
+  const id = item.id ?? item.call_id
+  const metadata = item.id !== undefined ? providerMetadata(state, { itemId: item.id }) : undefined
  const events: LLMEvent[] = []
  const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
  return [
    {
      ...state,
      lifecycle,
-      tools: ToolStream.start(state.tools, item.id, {
-        id: item.call_id ?? item.id,
+      tools: ToolStream.start(state.tools, id, {
+        id: item.call_id,
        name: item.name ?? "",
        input: item.arguments ?? "",
        providerMetadata: metadata,
      }),
    },
-    [
-      ...events,
-      LLMEvent.toolInputStart({ id: item.call_id ?? item.id, name: item.name ?? "", providerMetadata: metadata }),
-    ],
+    [...events, LLMEvent.toolInputStart({ id: item.call_id, name: item.name ?? "", providerMetadata: metadata })],
  ]
 }

 const onReasoningSummaryPartAdded = (state: ParserState, event: Event): StepResult => {
-  if (!event.item_id || event.summary_index === undefined) return [state, NO_EVENTS]
+  if (event.item_id === undefined || event.summary_index === undefined) return [state, NO_EVENTS]
  const item = state.reasoningItems[event.item_id]
  if (!item) return [state, NO_EVENTS]
  if (event.summary_index === 0) return [state, NO_EVENTS]
@@ -1015,7 +989,7 @@ const onReasoningSummaryPartAdded = (state: ParserState, event: Event): StepResu
 }

 const onReasoningSummaryPartDone = (state: ParserState, event: Event): StepResult => {
-  if (!event.item_id || event.summary_index === undefined) return [state, NO_EVENTS]
+  if (event.item_id === undefined || event.summary_index === undefined) return [state, NO_EVENTS]
  const item = state.reasoningItems[event.item_id]
  if (!item) return [state, NO_EVENTS]
  return [
@@ -1040,7 +1014,7 @@ const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgu
  state: ParserState,
  event: Event,
 ) {
-  if (!event.item_id) return [state, NO_EVENTS] satisfies StepResult
+  if (event.item_id === undefined) return [state, NO_EVENTS] satisfies StepResult
  const tool = state.tools[event.item_id]
  if (!tool) return [state, NO_EVENTS] satisfies StepResult
  const final = event.type === "response.function_call_arguments.done" ? event.arguments : undefined
@@ -1071,7 +1045,7 @@ const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
  const item = event.item
  if (!item) return [state, NO_EVENTS] satisfies StepResult

-  if (item.type === "message" && item.id) {
+  if (item.type === "message" && item.id !== undefined) {
    const itemPhase = messagePhase(item.phase)
    const phase = itemPhase === undefined ? state.messagePhases[item.id] : itemPhase
    const events: LLMEvent[] = []
@@ -1095,18 +1069,19 @@ const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
  }

  if (item.type === "function_call") {
-    if (!item.id || !item.call_id || !item.name) return [state, NO_EVENTS] satisfies StepResult
-    const tools = state.tools[item.id]
+    if (!item.call_id || !item.name) return [state, NO_EVENTS] satisfies StepResult
+    const id = item.id ?? item.call_id
+    const tools = state.tools[id]
      ? state.tools
-      : ToolStream.start(state.tools, item.id, {
+      : ToolStream.start(state.tools, id, {
          id: item.call_id,
          name: item.name,
-          providerMetadata: providerMetadata(state, { itemId: item.id }),
+          providerMetadata: item.id !== undefined ? providerMetadata(state, { itemId: item.id }) : undefined,
        })
    const result =
      item.arguments === undefined
-        ? yield* ToolStream.finish(state.id, tools, item.id)
-        : yield* ToolStream.finishWithInput(state.id, tools, item.id, item.arguments)
+        ? yield* ToolStream.finish(state.id, tools, id)
+        : yield* ToolStream.finishWithInput(state.id, tools, id, item.arguments)
    const events: LLMEvent[] = []
    const resultEvents = result.events ?? []
    const lifecycle = resultEvents.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle
@@ -1160,10 +1135,11 @@ const onResponseFinish = Effect.fn("OpenResponses.onResponseFinish")(function* (
          event.response?.output ?? [],
          () => [state, NO_EVENTS] satisfies StepResult,
          ([current, events], item) => {
+            const id = item.id ?? (item.type === "function_call" ? item.call_id : undefined)
            if (
-              !item.id ||
-              ((item.type !== "function_call" || !current.tools[item.id]) &&
-                (item.type !== "reasoning" || !current.reasoningItems[item.id]))
+              id === undefined ||
+              ((item.type !== "function_call" || !current.tools[id]) &&
+                (item.type !== "reasoning" || !current.reasoningItems[id]))
            )
              return Effect.succeed([current, events] satisfies StepResult)
            return onOutputItemDone(current, { type: "response.output_item.done", item }).pipe(
@@ -1244,12 +1220,13 @@ export const providerFailure = (id: string, event: Event, fallback: string) => {
 const providerError = (state: ParserState, event: Event, fallback: string) => providerFailure(state.id, event, fallback)

 export const step = (state: ParserState, input: Event) => {
+  // The OpenAPI requires string IDs but imposes no minLength; empty is not missing.
  const event =
-    input.item_id && outputItemID(state, input) !== input.item_id
+    input.item_id !== undefined && outputItemID(state, input) !== input.item_id
      ? { ...input, item_id: outputItemID(state, input) }
      : input
  if (event.type === "response.output_text.delta" || event.type === "response.output_text.done") {
-    if (!event.item_id) return ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
+    if (event.item_id === undefined) return ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
    return Effect.succeed(
      event.type === "response.output_text.delta"
        ? onOutputTextDelta(state, event, event.item_id)
@@ -1258,7 +1235,7 @@ export const step = (state: ParserState, input: Event) => {
  }
  if (event.type === "response.refusal.delta" || event.type === "response.refusal.done") {
    const value = event.type === "response.refusal.delta" ? event.delta : event.refusal
-    if (!event.item_id || typeof value !== "string")
+    if (event.item_id === undefined || typeof value !== "string")
      return ProviderShared.eventError(state.id, `${event.type} is malformed`)
    return Effect.succeed(
      event.type === "response.refusal.delta"
@@ -1267,7 +1244,7 @@ export const step = (state: ParserState, input: Event) => {
    )
  }
  if (event.type === "response.reasoning.delta" || event.type === "response.reasoning_summary_text.delta") {
-    if (!event.item_id) return ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
+    if (event.item_id === undefined) return ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
    return Effect.succeed(onReasoningDelta(state, event, event.item_id))
  }
  if (
@@ -1275,35 +1252,36 @@ export const step = (state: ParserState, input: Event) => {
    event.type === "response.reasoning_summary_text.done" ||
    event.type === "response.reasoning_text.done"
  ) {
-    if (!event.item_id) return ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
+    if (event.item_id === undefined) return ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
    return Effect.succeed(onReasoningDone(state, event, event.item_id))
  }
  if (event.type === "response.reasoning_summary_part.added")
-    return event.item_id
+    return event.item_id !== undefined
      ? Effect.succeed(onReasoningSummaryPartAdded(state, event))
      : ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
  if (event.type === "response.reasoning_summary_part.done")
-    return event.item_id
+    return event.item_id !== undefined
      ? Effect.succeed(onReasoningSummaryPartDone(state, event))
      : ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
  if (event.type === "response.output_item.added") {
-    if (event.item?.type === "message" && !event.item.id)
+    if (event.item?.type === "message" && event.item.id === undefined)
      return ProviderShared.eventError(state.id, `${event.type} message is missing id`)
+    const id = event.item?.id ?? (event.item?.type === "function_call" ? event.item.call_id : undefined)
    return Effect.succeed(
      onOutputItemAdded(
-        event.output_index !== undefined && event.item?.id
-          ? { ...state, outputItems: { ...state.outputItems, [event.output_index]: event.item.id } }
+        event.output_index !== undefined && id !== undefined
+          ? { ...state, outputItems: { ...state.outputItems, [event.output_index]: id } }
          : state,
        event,
      ),
    )
  }
  if (event.type === "response.function_call_arguments.delta" || event.type === "response.function_call_arguments.done")
-    return event.item_id
+    return event.item_id !== undefined
      ? onFunctionCallArgumentsDelta(state, event)
      : ProviderShared.eventError(state.id, `${event.type} is missing item_id`)
  if (event.type === "response.output_item.done") {
-    if (event.item?.type === "message" && !event.item.id)
+    if (event.item?.type === "message" && event.item.id === undefined)
      return ProviderShared.eventError(state.id, `${event.type} message is missing id`)
    return onOutputItemDone(state, event)
  }
@@ -364,8 +364,9 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (

 const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
  message: OpenAIChatRequestMessage,
-  configuredField?: string,
-  options: LoweringOptions = {},
+  configuredField: string | undefined,
+  requireReasoning: boolean,
+  options: LoweringOptions,
 ) {
  const content: TextPart[] = []
  const reasoning: ReasoningPart[] = []
@@ -392,15 +393,17 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
  const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)
  const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))
  const field = (() => {
-    if (configuredField !== undefined) return configuredField
-    if (reasoning.length === 0) return undefined
+    if (configuredField !== undefined && (requireReasoning || reasoning.length > 0 || nativeReasoning !== undefined))
+      return configuredField
+    if (reasoning.length === 0) return requireReasoning ? "reasoning_content" : undefined
    if (observedField !== undefined) return observedField
    if (nativeReasoning !== undefined) return "reasoning_content"
-    if (!fullyStructured) return "reasoning_content"
+    if (!fullyStructured || requireReasoning) return "reasoning_content"
  })()
  const reasoningText = (() => {
-    if (configuredField !== undefined) return reasoning.length === 0 ? (nativeReasoning ?? "") : text
-    if (reasoning.length === 0) return nativeReasoning
+    if (configuredField !== undefined)
+      return reasoning.length === 0 ? (nativeReasoning ?? (requireReasoning ? "" : undefined)) : text
+    if (reasoning.length === 0) return nativeReasoning ?? (requireReasoning ? "" : undefined)
    return text
  })()
  const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
@@ -454,11 +457,13 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (

 const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
  message: OpenAIChatRequestMessage,
-  reasoningField?: string,
-  options: LoweringOptions = {},
+  reasoningField: string | undefined,
+  requireReasoning: boolean,
+  options: LoweringOptions,
 ) {
  if (message.role === "user") return [yield* lowerUserMessage(message, options)]
-  if (message.role === "assistant") return [yield* lowerAssistantMessage(message, reasoningField, options)]
+  if (message.role === "assistant")
+    return [yield* lowerAssistantMessage(message, reasoningField, requireReasoning, options)]
  return (yield* lowerToolMessages(message, options)).messages
 })

@@ -480,11 +485,22 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
        : [{ role: "system", content: ProviderShared.joinText(request.system) }]
  const messages = [...system]
  const modelID = request.model.id.toLowerCase()
+  const requireReasoning =
+    request.model.compatibility?.requireReasoning ??
+    (request.model.compatibility?.reasoningField !== undefined ||
+      request.model.provider === "deepseek" ||
+      request.model.route.endpoint.baseURL?.toLowerCase().includes("deepseek.com") ||
+      modelID.includes("deepseek"))
+  const reasoningField = request.model.compatibility?.reasoningField
  const mistral = ["mistral", "devstral", "codestral", "pixtral", "mixtral"].some((family) => modelID.includes(family))
  const lowering = {
    ...options,
    toolCallID: (id: string) => {
-      if (mistral) return id.replace(/[^a-zA-Z0-9]/g, "").slice(0, 9).padEnd(9, "0")
+      if (mistral)
+        return id
+          .replace(/[^a-zA-Z0-9]/g, "")
+          .slice(0, 9)
+          .padEnd(9, "0")
      if (modelID.includes("claude")) return id.replace(/[^a-zA-Z0-9_-]/g, "_")
      if (request.model.provider === "openai" || request.model.provider === "azure" || modelID.startsWith("openai/"))
        return id.slice(0, 40)
@@ -493,7 +509,8 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
  }
  const requireAssistantAfterTool = request.model.compatibility?.requireAssistantAfterTool ?? mistral
  const bridgeTools = () => {
-    if (requireAssistantAfterTool && messages.at(-1)?.role === "tool") messages.push({ role: "assistant", content: "Done." })
+    if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
+      messages.push({ role: "assistant", content: "Done." })
  }
  const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  const flushImages = () => {
@@ -545,7 +562,10 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
        )
      continue
    }
-    if (message.role === "assistant" && message.content.every((part) => part.type === "text" && part.text.trim() === ""))
+    if (
+      message.role === "assistant" &&
+      message.content.every((part) => part.type === "text" && part.text.trim() === "")
+    )
      continue
    if (message.role === "tool") {
      const lowered = yield* lowerToolMessages(message, lowering)
@@ -554,7 +574,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
      continue
    }
    flushImages()
-    messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField, lowering)))
+    messages.push(...(yield* lowerMessage(message, reasoningField, requireReasoning, lowering)))
  }
  flushImages()
  return messages
@@ -576,7 +596,10 @@ const hasToolHistory = (messages: ReadonlyArray<LLMRequest["messages"][number]>)
 // models.dev provider naming: DeepSeek, Moonshot AI, Together AI, ZAI
 // (Zhipu + Coding Plan variants), Nvidia, Cerebras, Chutes, etc. still
 // require `max_tokens`.
-const detectMaxTokensField = (provider: string, baseURL: string | undefined): "max_tokens" | "max_completion_tokens" => {
+const detectMaxTokensField = (
+  provider: string,
+  baseURL: string | undefined,
+): "max_tokens" | "max_completion_tokens" => {
  const p = provider.toLowerCase()
  const url = (baseURL ?? "").toLowerCase()
  if (
@@ -626,7 +649,8 @@ const detectSupportsStore = (provider: string, baseURL: string | undefined): boo
  const isChutes = p === "chutes" || url.includes("chutes.ai")
  const isCloudflareWorkersAI = p === "cloudflare-workers-ai" || url.includes("api.cloudflare.com")
  const isCloudflareAiGateway = p === "cloudflare-ai-gateway" || url.includes("gateway.ai.cloudflare.com")
-  const isVercelAiGateway = p === "vercel-ai-gateway" || url.includes("ai-gateway.vercel.sh") || url.includes("vercel.sh")
+  const isVercelAiGateway =
+    p === "vercel-ai-gateway" || url.includes("ai-gateway.vercel.sh") || url.includes("vercel.sh")
  const isAntLing = p === "ant-ling" || url.includes("api.ant-ling.com")
  const isOpencode = p === "opencode" || url.includes("opencode.ai")
  const isNonStandard =
@@ -658,11 +682,7 @@ const detectSupportsStrictMode = (provider: string, baseURL: string | undefined)
  return !isMoonshot && !isTogether && !isCloudflareAiGateway && !isNvidia
 }

-const detectZaiToolStream = (
-  provider: string,
-  baseURL: string | undefined,
-  modelID: string,
-): boolean => {
+const detectZaiToolStream = (provider: string, baseURL: string | undefined, modelID: string): boolean => {
  const p = provider.toLowerCase()
  const url = (baseURL ?? "").toLowerCase()
  const isZai =
@@ -712,10 +732,10 @@ export const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (
  const supportsStore = request.model.compatibility?.supportsStore ?? detectSupportsStore(provider, baseURL)
  const supportsUsageInStreaming =
    request.model.compatibility?.supportsUsageInStreaming ?? detectSupportsUsageInStreaming()
-  const supportsStrictMode = request.model.compatibility?.supportsStrictMode ?? detectSupportsStrictMode(provider, baseURL)
+  const supportsStrictMode =
+    request.model.compatibility?.supportsStrictMode ?? detectSupportsStrictMode(provider, baseURL)
  const zaiToolStream =
-    request.model.compatibility?.zaiToolStream ??
-    detectZaiToolStream(provider, baseURL, request.model.id)
+    request.model.compatibility?.zaiToolStream ?? detectZaiToolStream(provider, baseURL, request.model.id)
  const hasHistory = hasToolHistory(request.messages)
  const hasActiveTools = request.tools.length > 0
  return {
@@ -804,11 +824,10 @@ const mapUsage = (usage: OpenAIChatEvent["usage"]): Usage | undefined => {
  if (!usage) return undefined
  const input = usage.prompt_tokens ?? undefined
  const output = usage.completion_tokens ?? undefined
-  const cached =
-    (usage.prompt_tokens_details?.cached_tokens ??
-      (usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
-      (usage as { cached_tokens?: number | null }).cached_tokens ??
-      undefined) as number | undefined
+  const cached = (usage.prompt_tokens_details?.cached_tokens ??
+    (usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
+    (usage as { cached_tokens?: number | null }).cached_tokens ??
+    undefined) as number | undefined
  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
  const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
  const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
@@ -924,13 +943,12 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
    const choiceUsage = (choice as unknown as { usage?: OpenAIChatEvent["usage"] })?.usage
    const usage = mapUsage(event.usage) ?? (choiceUsage ? mapUsage(choiceUsage) : undefined) ?? state.usage
    const rawFinishReason = choice?.finish_reason
-    const finishReason =
-      rawFinishReason
-        ? {
-            normalized: yield* mapFinishReason(event, rawFinishReason),
-            raw: choice?.native_finish_reason ?? rawFinishReason,
-          }
-        : state.finishReason
+    const finishReason = rawFinishReason
+      ? {
+          normalized: yield* mapFinishReason(event, rawFinishReason),
+          raw: choice?.native_finish_reason ?? rawFinishReason,
+        }
+      : state.finishReason
    const delta = choice?.delta
    const toolDeltas = delta?.tool_calls ?? []
    let tools = state.tools
@@ -86,28 +86,10 @@ const OpenAIResponsesBody = Schema.Struct({
 })
 export type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>

-// Replayed items are paired with stored server state by id, so a foreign or
-// synthetic token can fail request validation even when `call_id` pairing is
-// intact. Only resend ids in each item kind's own grammar; hosted tool
-// items keep generic validation because every hosted tool mints its own
-// prefix. The same allowlist approach codex uses before resending history
-// (codex-rs core/src/client.rs, `prepare_response_items_for_request`).
-const ITEM_ID_PREFIXES: Record<OpenResponses.ItemKind, ReadonlyArray<string>> = {
-  message: ["msg_"],
-  reasoning: ["rs_"],
-  "function-call": ["fc_"],
-  // Every hosted tool mints its own id prefix, so items keep generic validation.
-  "hosted-tool": [],
-}
-
 const extension = {
  id: ADAPTER,
  name: NAME,
  lowerHostedToolItem: (item: unknown) => (Schema.is(OpenAIResponsesHostedToolItem)(item) ? item : undefined),
-  acceptsItemID: (kind: OpenResponses.ItemKind, id: string) => {
-    const prefixes = ITEM_ID_PREFIXES[kind]
-    return prefixes.length === 0 || prefixes.some((prefix) => id.startsWith(prefix))
-  },
 } satisfies OpenResponses.Extension

 const nativeImageToolInput = (tool: ToolDefinition) => {
@@ -202,7 +184,7 @@ const HOSTED_TOOLS = {

 const step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {
  if (event.type === "response.reasoning_text.delta")
-    return event.item_id
+    return event.item_id !== undefined
      ? Effect.succeed(
          OpenResponses.onReasoningDelta(state, event, OpenResponses.outputItemID(state, event) ?? event.item_id),
        )
@@ -210,10 +210,9 @@ export const errorText = (error: unknown) => {
 * `framing` step for Server-Sent Events. Decodes UTF-8, runs the SSE channel
 * decoder, optionally filters named events, and drops empty / `[DONE]`
 * keep-alive events so the protocol event schema sees one JSON string per
- * element. The SSE channel emits a
- * `Retry` control event on its error channel; we drop it here (we don't
- * implement client-driven retries). Decoder failures become provider output
- * errors so the public error channel stays `AIError`.
+ * element. Retry control events are ignored without interrupting the stream.
+ * Decoder failures become provider output errors so the public error channel
+ * stays `AIError`.
 */
 export const sseFraming = (
  bytes: Stream.Stream<Uint8Array, AIError>,
@@ -221,9 +220,23 @@ export const sseFraming = (
 ): Stream.Stream<string, AIError> =>
  bytes.pipe(
    Stream.decodeText(),
-    Stream.pipeThroughChannel(Sse.decode()),
-    Stream.catchTag("Retry", () => Stream.empty),
-    Stream.catchTag("SseError", (error) => Stream.fail(eventError("sse", error.message))),
+    Stream.mapAccumEffect(
+      () => {
+        const output: Sse.Event[] = []
+        return {
+          output,
+          parser: Sse.makeParser((event) => {
+            if (event._tag === "Event") output.push(event)
+          }),
+        }
+      },
+      (state, chunk) =>
+        Effect.gen(function* () {
+          const error = state.parser.feed(chunk)
+          if (error) return yield* eventError("sse", error.message)
+          return [state, state.output.splice(0)] as const
+        }),
+    ),
    Stream.filter(
      (event) =>
        (events === undefined || events.has(event.event)) &&
@@ -29,10 +29,9 @@ export type ResponseIncludable = (typeof ResponseIncludables)[number] | (string

 export const ServiceTiers = ["auto", "default", "flex", "priority"] as const
 export type ServiceTier = (typeof ServiceTiers)[number] | (string & {})
-export const ServiceTier = Schema.declare<ServiceTier>(
-  (value): value is ServiceTier => typeof value === "string",
-  { title: "ServiceTier" },
-)
+export const ServiceTier = Schema.declare<ServiceTier>((value): value is ServiceTier => typeof value === "string", {
+  title: "ServiceTier",
+})

 export const Truncations = ["auto", "disabled"] as const
 export type Truncation = (typeof Truncations)[number]
@@ -56,7 +55,6 @@ export const StreamOptions = Schema.Struct({
 })

 export const Options = Schema.Struct({
-  instructions: Schema.optional(Schema.String),
  store: Schema.optional(Schema.Boolean),
  metadata: Schema.optional(Schema.Record(Schema.String, Schema.String)),
  safetyIdentifier: Schema.optional(Schema.String),
@@ -34,37 +34,35 @@ export const onDone: (
  state: OpenResponses.ParserState,
  item: Item,
  tools: Definitions,
-) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(function* (
-  state,
-  item,
-  tools,
-) {
-  const tool = tools[item.type]
-  if (!tool) return [state, []] satisfies OpenResponses.StepResult
-  const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })
-  const events: LLMEvent[] = []
-  const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
-  events.push(
-    LLMEvent.toolCall({
-      id: item.id,
-      name: tool.name,
-      input: tool.input(item),
-      providerExecuted: true,
-      providerMetadata,
-    }),
-    LLMEvent.toolResult({
-      id: item.id,
-      name: tool.name,
-      result: tool.result
-        ? yield* tool.result(item)
-        : item.error !== undefined && item.error !== null
-          ? { type: "error", value: item.error }
-          : { type: "json", value: item },
-      providerExecuted: true,
-      providerMetadata,
-    }),
-  )
-  return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult
-})
+) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(
+  function* (state, item, tools) {
+    const tool = tools[item.type]
+    if (!tool) return [state, []] satisfies OpenResponses.StepResult
+    const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })
+    const events: LLMEvent[] = []
+    const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
+    events.push(
+      LLMEvent.toolCall({
+        id: item.id,
+        name: tool.name,
+        input: tool.input(item),
+        providerExecuted: true,
+        providerMetadata,
+      }),
+      LLMEvent.toolResult({
+        id: item.id,
+        name: tool.name,
+        result: tool.result
+          ? yield* tool.result(item)
+          : item.error !== undefined && item.error !== null
+            ? { type: "error", value: item.error }
+            : { type: "json", value: item },
+        providerExecuted: true,
+        providerMetadata,
+      }),
+    )
+    return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult
+  },
+)

 export * as ResponsesHostedTools from "./responses-hosted-tools.js"
@@ -40,15 +40,16 @@ const patterns = [
  /model_context_window_exceeded/i,
  /too many tokens/i,
  /token limit exceeded/i,
+  /request_too_large/i,
 ]

-const payloadPatterns = [/request_too_large/i, /request entity too large/i, /payload too large/i, /request too large/i]
+const payloadPatterns = [/request entity too large/i, /payload too large/i, /request too large/i]

 const exclusions = [/^(throttling error|service unavailable):/i, /rate limit/i, /too many requests/i]

 export const isContextOverflow = (message: string) =>
  !exclusions.some((pattern) => pattern.test(message)) &&
-  (patterns.some((pattern) => pattern.test(message)) || /^400\s*(status code)?\s*\(no body\)/i.test(message))
+  (patterns.some((pattern) => pattern.test(message)) || /^4(?:00|13)\s*(status code)?\s*\(no body\)/i.test(message))

 export const isPayloadTooLarge = (message: string) => payloadPatterns.some((pattern) => pattern.test(message))

@@ -106,6 +107,7 @@ export function classifyProviderFailure(input: ProviderFailure): AIError["reason
    clientScoped &&
    (codes.includes("context_length_exceeded") ||
      codes.includes("model_context_window_exceeded") ||
+      codes.includes("request_too_large") ||
      isContextOverflow(text))
  )
    return new InvalidRequestReason({ ...common, classification: "context-overflow" })
@@ -1,5 +1,5 @@
 import { Auth } from "../route/auth.js"
-import type { Route as RouteDef, RouteDefaultsInput } from "../route/client.js"
+import { Route, type RouteDefaultsInput } from "../route/client.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
 import { OpenAIResponses } from "../protocols/openai-responses.js"
@@ -26,9 +26,15 @@ export interface Settings extends ProviderPackage.Settings {
  readonly providerOptions?: OpenAIProviderOptionsInput
 }

-const responsesRoute = OpenAIResponses.route.with({
+const responsesRoute = Route.make({
  id: "bedrock-mantle-responses",
  provider: id,
+  providerMetadataKey: OpenAIResponses.route.providerMetadataKey,
+  protocol: OpenAIResponses.protocol,
+  endpoint: OpenAIResponses.route.endpoint,
+  auth: OpenAIResponses.route.auth,
+  transport: OpenAIResponses.httpTransport,
+  defaults: OpenAIResponses.route.defaults,
 })

 const chatRoute = OpenAIChat.route.with({
@@ -38,7 +44,7 @@ const chatRoute = OpenAIChat.route.with({

 export const routes = [responsesRoute, chatRoute]

-const configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) => {
+const configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) => {
  const region = input.region ?? input.credentials?.region ?? "us-east-1"
  const credentials = input.credentials === undefined ? undefined : { ...input.credentials, region }
  return route.with({
@@ -0,0 +1,58 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
+import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
+import type { RouteDefaultsInput } from "../route/client.js"
+import { ProviderID, type ModelID } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const id = ProviderID.make("cerebras")
+
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: OpenAIProviderOptionsInput
+}
+
+export const route = OpenAICompatibleChat.route.with({
+  id: "cerebras-chat",
+  provider: id,
+  endpoint: { baseURL: profiles.cerebras.baseURL },
+})
+
+export const routes = [route]
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
+  const configured = route.with({
+    ...defaults,
+    endpoint: { baseURL: baseURL ?? profiles.cerebras.baseURL },
+    auth: AuthOptions.bearer(input, "CEREBRAS_API_KEY"),
+  })
+  return {
+    id,
+    model: (modelID: string | ModelID) =>
+      configured.model<OpenAIProviderOptionsInput>({
+        id: modelID,
+        compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning", supportsStore: false },
+      }),
+    configure,
+  }
+}
+
+export const provider = configure()
+
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
+  configure({
+    apiKey: settings.apiKey,
+    baseURL: settings.baseURL,
+    headers: settings.headers === undefined ? undefined : { ...settings.headers },
+    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
+    providerOptions: settings.providerOptions,
+  }).model(modelID)
@@ -0,0 +1,61 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
+import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
+import type { RouteDefaultsInput } from "../route/client.js"
+import { ProviderID, type ModelID } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const id = ProviderID.make("deepinfra")
+
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: OpenAIProviderOptionsInput
+}
+
+export const route = OpenAICompatibleChat.route.with({
+  id: "deepinfra-chat",
+  provider: id,
+  endpoint: { baseURL: profiles.deepinfra.baseURL },
+})
+
+export const routes = [route]
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
+  const root = baseURL?.replace(/\/+$/, "")
+  const configured = route.with({
+    ...defaults,
+    endpoint: {
+      baseURL: root === undefined ? profiles.deepinfra.baseURL : root.endsWith("/openai") ? root : `${root}/openai`,
+    },
+    auth: AuthOptions.bearer(input, "DEEPINFRA_API_KEY"),
+  })
+  return {
+    id,
+    model: (modelID: string | ModelID) =>
+      configured.model<OpenAIProviderOptionsInput>({
+        id: modelID,
+        compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning_content", supportsStore: false },
+      }),
+    configure,
+  }
+}
+
+export const provider = configure()
+
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
+  configure({
+    apiKey: settings.apiKey,
+    baseURL: settings.baseURL,
+    headers: settings.headers === undefined ? undefined : { ...settings.headers },
+    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
+    providerOptions: settings.providerOptions,
+  }).model(modelID)
@@ -0,0 +1,116 @@
+import { Effect, Schema } from "effect"
+import type { ProviderPackage } from "../provider-package.js"
+import { OpenAIChat } from "../protocols/openai-chat.js"
+import { ProviderShared } from "../protocols/shared.js"
+import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
+import { Route, type RouteDefaultsInput } from "../route/client.js"
+import { Endpoint } from "../route/endpoint.js"
+import { Framing } from "../route/framing.js"
+import { Protocol } from "../route/protocol.js"
+import { ProviderID, type ModelID, type LLMRequest } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const id = ProviderID.make("groq")
+
+export type ProviderOptions = Pick<OpenAIProviderOptionsInput, "reasoningEffort"> & {
+  /** Controls visible reasoning on GPT-OSS; other models always use parsed reasoning. */
+  readonly includeReasoning?: boolean
+  readonly parallelToolCalls?: boolean
+  readonly serviceTier?: "on_demand" | "flex" | "auto" | "performance" | (string & {})
+  readonly user?: string
+}
+
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: ProviderOptions
+  }
+
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: ProviderOptions
+}
+
+const Options = Schema.Struct({
+  includeReasoning: Schema.optional(Schema.Boolean),
+  parallelToolCalls: Schema.optional(Schema.Boolean),
+  serviceTier: Schema.optional(Schema.String),
+  user: Schema.optional(Schema.String),
+})
+
+export const protocol = Protocol.make({
+  id: "groq-chat",
+  body: {
+    schema: Schema.Struct({
+      ...OpenAIChat.bodyFields,
+      reasoning_format: Schema.optional(Schema.Literal("parsed")),
+      include_reasoning: Schema.optional(Schema.Boolean),
+      parallel_tool_calls: Schema.optional(Schema.Boolean),
+      service_tier: Schema.optional(Schema.String),
+      user: Schema.optional(Schema.String),
+    }),
+    from: Effect.fn("Groq.fromRequest")(function* (request: LLMRequest) {
+      const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(
+        request.providerOptions ?? {},
+      )
+      const gptOSS = request.model.id.startsWith("openai/gpt-oss-")
+      return {
+        ...(yield* OpenAIChat.fromRequest(request)),
+        reasoning_format: gptOSS ? undefined : ("parsed" as const),
+        include_reasoning: gptOSS ? options.includeReasoning : undefined,
+        parallel_tool_calls: options.parallelToolCalls,
+        service_tier: options.serviceTier,
+        user: options.user,
+      }
+    }),
+  },
+  stream: OpenAIChat.protocol.stream,
+})
+
+export const route = Route.make({
+  id: "groq-chat",
+  provider: id,
+  providerMetadataKey: "openai",
+  protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: profiles.groq.baseURL }),
+  framing: Framing.sse,
+})
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
+  const configured = route.with({
+    ...defaults,
+    endpoint: { baseURL: baseURL ?? profiles.groq.baseURL },
+    auth: AuthOptions.bearer(input, "GROQ_API_KEY"),
+  })
+  return {
+    id,
+    model: (modelID: string | ModelID) =>
+      configured.model<ProviderOptions>({
+        id: modelID,
+        compatibility: {
+          maxTokensField: "max_completion_tokens",
+          reasoningField: "reasoning",
+          requireReasoning: false,
+          supportsStore: false,
+          supportsStrictMode: false,
+        },
+      }),
+    configure,
+  }
+}
+
+export const provider = configure()
+
+export const model: ProviderPackage.Definition<Settings, ProviderOptions>["model"] = (modelID, settings) =>
+  configure({
+    apiKey: settings.apiKey,
+    baseURL: settings.baseURL,
+    headers: settings.headers === undefined ? undefined : { ...settings.headers },
+    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
+    providerOptions: settings.providerOptions,
+  }).model(modelID)
+
+export * as Groq from "./groq.js"
@@ -3,16 +3,20 @@ export * as AnthropicCompatible from "./anthropic-compatible.js"
 export * as AmazonBedrock from "./amazon-bedrock.js"
 export * as AmazonBedrockMantle from "./amazon-bedrock-mantle.js"
 export * as Azure from "./azure.js"
+export * as Cerebras from "./cerebras.js"
 export * as Cloudflare from "./cloudflare.js"
 export { CloudflareAIGateway, CloudflareWorkersAI } from "./cloudflare.js"
+export * as DeepInfra from "./deepinfra.js"
 export * as Google from "./google.js"
 export * as GoogleVertex from "./google-vertex.js"
 export * as GoogleVertexChat from "./google-vertex-chat.js"
 export * as GoogleVertexMessages from "./google-vertex-messages.js"
 export * as GoogleVertexResponses from "./google-vertex-responses.js"
+export * as Groq from "./groq.js"
 export * as OpenAI from "./openai.js"
 export * as OpenAICompatible from "./openai-compatible.js"
 export * as OpenAICompatibleResponses from "./openai-compatible-responses.js"
 export * as OpenRouter from "./openrouter.js"
+export * as TogetherAI from "./togetherai.js"
 export * as XAI from "./xai.js"
 export * as ZAI from "./zai.js"
@@ -0,0 +1,58 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
+import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
+import type { RouteDefaultsInput } from "../route/client.js"
+import { ProviderID, type ModelID } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const id = ProviderID.make("togetherai")
+
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: OpenAIProviderOptionsInput
+}
+
+export const route = OpenAICompatibleChat.route.with({
+  id: "togetherai-chat",
+  provider: id,
+  endpoint: { baseURL: profiles.togetherai.baseURL },
+})
+
+export const routes = [route]
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
+  const configured = route.with({
+    ...defaults,
+    endpoint: { baseURL: baseURL ?? profiles.togetherai.baseURL },
+    auth: AuthOptions.bearer(input, ["TOGETHER_API_KEY", "TOGETHER_AI_API_KEY"]),
+  })
+  return {
+    id,
+    model: (modelID: string | ModelID) =>
+      configured.model<OpenAIProviderOptionsInput>({
+        id: modelID,
+        compatibility: { maxTokensField: "max_tokens", supportsStore: false, supportsStrictMode: false },
+      }),
+    configure,
+  }
+}
+
+export const provider = configure()
+
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
+  configure({
+    apiKey: settings.apiKey,
+    baseURL: settings.baseURL,
+    headers: settings.headers === undefined ? undefined : { ...settings.headers },
+    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
+    providerOptions: settings.providerOptions,
+  }).model(modelID)
@@ -339,9 +339,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
                return onHalt
                  ? parsed.pipe(
                      Stream.concat(
-                        Stream.suspend(() =>
-                          Stream.unwrap(onHalt(state).pipe(Effect.map(Stream.fromIterable))),
-                        ),
+                        Stream.suspend(() => Stream.unwrap(onHalt(state).pipe(Effect.map(Stream.fromIterable)))),
                      ),
                    )
                  : parsed
@@ -153,6 +153,8 @@ export class LanguageModelCompatibility extends Schema.Class<LanguageModelCompat
 )({
  toolSchema: Schema.optional(LanguageModelToolSchemaCompatibility),
  reasoningField: Schema.optional(Schema.String),
+  /** Require every assistant message to include its reasoning field, even when empty. */
+  requireReasoning: Schema.optional(Schema.Boolean),
  maxTokensField: Schema.optional(LanguageModelMaxTokensFieldCompatibility),
  requireFinishReason: Schema.optional(Schema.Boolean),
  requireAssistantAfterTool: Schema.optional(Schema.Boolean),
@@ -3,7 +3,7 @@ import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../src/index.js"
 import { Auth } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
-import { AmazonBedrock } from "../src/providers.js"
+import { AmazonBedrock, GoogleVertexMessages } from "../src/providers.js"
 import * as AnthropicMessages from "../src/protocols/anthropic-messages.js"
 import * as Gemini from "../src/protocols/gemini.js"
 import * as OpenAIChat from "../src/protocols/openai-chat.js"
@@ -86,6 +86,27 @@ describe("applyCachePolicy", () => {
    }),
  )

+  it.effect("'auto' emits Anthropic cache markers on Vertex", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: GoogleVertexMessages.configure({ accessToken: "test", location: "global", project: "test" }).model(
+            "claude-opus-4-8",
+          ),
+          system: "You are concise.",
+          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
+          prompt: "hi",
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ name: "lookup", cache_control: { type: "ephemeral" } }],
+        system: [{ type: "text", text: "You are concise.", cache_control: { type: "ephemeral" } }],
+        messages: [{ role: "user", content: [{ type: "text", text: "hi", cache_control: { type: "ephemeral" } }] }],
+      })
+    }),
+  )
+
  it.effect("'auto' is a no-op on OpenAI (implicit caching protocol)", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -211,6 +211,28 @@ describe("RequestExecutor", () => {
    }).pipe(Effect.provide(responsesLayer([new Response("request too large", { status: 413 })]))),
  )

+  it.effect("classifies Anthropic request_too_large as context overflow", () =>
+    Effect.gen(function* () {
+      const executor = yield* RequestExecutor.Service
+      const error = yield* executor.execute(request).pipe(Effect.flip)
+
+      expectAIError(error)
+      expect(error.reason).toMatchObject({
+        _tag: "InvalidRequest",
+        classification: "context-overflow",
+        http: { response: { status: 413 } },
+      })
+    }).pipe(
+      Effect.provide(
+        responsesLayer([
+          new Response('{"error":{"type":"request_too_large","message":"Request exceeds the maximum size"}}', {
+            status: 413,
+          }),
+        ]),
+      ),
+    ),
+  )
+
  it.effect("does not classify ordinary invalid requests as context overflow", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
@@ -1,10 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:azure",
-      "provider:azure"
-    ],
+    "tags": ["prefix:azure", "provider:azure"],
    "name": "azure/chat-streams-text",
    "recordedAt": "2026-08-23T17:21:53.198Z"
  },
@@ -1,10 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:azure",
-      "provider:azure"
-    ],
+    "tags": ["prefix:azure", "provider:azure"],
    "name": "azure/responses-calls-a-tool",
    "recordedAt": "2026-08-23T17:21:55.170Z"
  },
@@ -1,10 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:azure",
-      "provider:azure"
-    ],
+    "tags": ["prefix:azure", "provider:azure"],
    "name": "azure/responses-continues-after-a-tool-result",
    "recordedAt": "2026-08-23T17:21:56.397Z"
  },
@@ -1,10 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:azure",
-      "provider:azure"
-    ],
+    "tags": ["prefix:azure", "provider:azure"],
    "name": "azure/responses-streams-text",
    "recordedAt": "2026-08-23T17:21:54.158Z"
  },
@@ -2,11 +2,7 @@
  "version": 1,
  "metadata": {
    "model": "openai.gpt-oss-120b",
-    "tags": [
-      "prefix:bedrock-mantle",
-      "provider:amazon-bedrock",
-      "protocol:openai-responses"
-    ],
+    "tags": ["prefix:bedrock-mantle", "provider:amazon-bedrock", "protocol:openai-responses"],
    "name": "bedrock-mantle/streams-text",
    "recordedAt": "2026-08-25T03:29:02.968Z"
  },
@@ -0,0 +1,32 @@
+{
+  "version": 1,
+  "metadata": {
+    "provider": "cerebras",
+    "route": "cerebras-chat",
+    "transport": "http",
+    "model": "gpt-oss-120b",
+    "tags": ["prefix:cerebras-chat", "provider:cerebras", "text", "golden"],
+    "name": "cerebras-chat/cerebras-gpt-oss-120b-text",
+    "recordedAt": "2026-08-25T23:55:27.619Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cerebras.ai/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gpt-oss-120b\",\"messages\":[{\"role\":\"system\",\"content\":\"You are concise.\"},{\"role\":\"user\",\"content\":\"Reply exactly with: Hello!\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":256}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "data: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"role\":\"assistant\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"reasoning\":\"The\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"reasoning\":\" user says: \\\"Reply exactly with: Hello!\\\" So we must output exactly\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"reasoning\":\" \\\"Hello!\\\" with no extra characters, no formatting\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"reasoning\":\". Ensure no extra spaces or new\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"reasoning\":\"lines? Probably just \\\"Hello!\\\".\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"reasoning\":\" Usually we output exactly that.\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{\"content\":\"Hello!\"},\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-cd45cd6e-886a-433e-8ba9-caca78c1f13a\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1787702127,\"model\":\"gpt-oss-120b\",\"system_fingerprint\":\"fp_e2cabf4999eb0aead3d1\",\"object\":\"chat.completion.chunk\",\"usage\":{\"total_tokens\":142,\"completion_tokens\":58,\"completion_tokens_details\":{\"accepted_prediction_tokens\":0,\"rejected_prediction_tokens\":0,\"reasoning_tokens\":46},\"prompt_tokens\":84,\"prompt_tokens_details\":{\"cached_tokens\":0}},\"time_info\":{\"created\":1787702127.645281,\"queue_time\":0.003817115,\"prompt_time\":0.001587193,\"completion_time\":0.029805929,\"total_time\":0.036823272705078125}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,32 @@
+{
+  "version": 1,
+  "metadata": {
+    "provider": "cerebras",
+    "route": "cerebras-chat",
+    "transport": "http",
+    "model": "gpt-oss-120b",
+    "tags": ["prefix:cerebras-chat", "provider:cerebras", "tool", "tool-call", "golden"],
+    "name": "cerebras-chat/cerebras-gpt-oss-120b-tool-call",
+    "recordedAt": "2026-08-25T23:55:28.454Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cerebras.ai/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gpt-oss-120b\",\"messages\":[{\"role\":\"system\",\"content\":\"Call tools exactly as requested.\"},{\"role\":\"user\",\"content\":\"Call get_weather with city exactly Paris.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":512}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
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      },
      "response": {
        "status": 200,
@@ -1,14 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:openai",
-      "protocol:openai-responses",
-      "tool",
-      "tool-result"
-    ],
+    "tags": ["prefix:pdf", "pdf", "provider:openai", "protocol:openai-responses", "tool", "tool-result"],
    "name": "pdf/openai-tool-result",
    "recordedAt": "2026-08-25T03:29:08.297Z"
  },
@@ -21,7 +14,7 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"gpt-4o-mini\",\"input\":[{\"role\":\"system\",\"content\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"},{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Return only the verification code from the PDF.\"}]},{\"type\":\"function_call\",\"call_id\":\"call_pdf_1\",\"name\":\"read_pdf\",\"arguments\":\"{}\"},{\"type\":\"function_call_output\",\"call_id\":\"call_pdf_1\",\"output\":[{\"type\":\"input_text\",\"text\":\"PDF read successfully\"},{\"type\":\"input_file\",\"filename\":\"verification.pdf\",\"file_data\":\"data:application/pdf;base64,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\"}]}],\"tools\":[{\"type\":\"function\",\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false},\"strict\":false}],\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"max_output_tokens\":40,\"temperature\":0,\"stream\":true}"
+        "body": "{\"model\":\"gpt-4o-mini\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Return only the verification code from the PDF.\"}]},{\"type\":\"function_call\",\"call_id\":\"call_pdf_1\",\"name\":\"read_pdf\",\"arguments\":\"{}\"},{\"type\":\"function_call_output\",\"call_id\":\"call_pdf_1\",\"output\":[{\"type\":\"input_text\",\"text\":\"PDF read successfully\"},{\"type\":\"input_file\",\"filename\":\"verification.pdf\",\"file_data\":\"data:application/pdf;base64,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\"}]}],\"tools\":[{\"type\":\"function\",\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false},\"strict\":false}],\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"max_output_tokens\":40,\"temperature\":0,\"stream\":true,\"instructions\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"}"
      },
      "response": {
        "status": 200,
@@ -1,13 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:openai",
-      "protocol:openai-responses",
-      "user-input"
-    ],
+    "tags": ["prefix:pdf", "pdf", "provider:openai", "protocol:openai-responses", "user-input"],
    "name": "pdf/openai-user-input",
    "recordedAt": "2026-08-25T03:29:05.645Z"
  },
@@ -1,14 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:xai",
-      "protocol:xai-responses",
-      "tool",
-      "tool-result"
-    ],
+    "tags": ["prefix:pdf", "pdf", "provider:xai", "protocol:xai-responses", "tool", "tool-result"],
    "name": "pdf/xai-tool-result",
    "recordedAt": "2026-08-25T03:29:11.774Z"
  },
@@ -21,7 +14,7 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"grok-4.5\",\"input\":[{\"role\":\"system\",\"content\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"},{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Return only the verification code from the PDF.\"}]},{\"type\":\"function_call\",\"call_id\":\"call_pdf_1\",\"name\":\"read_pdf\",\"arguments\":\"{}\"},{\"type\":\"function_call_output\",\"call_id\":\"call_pdf_1\",\"output\":[{\"type\":\"input_text\",\"text\":\"PDF read successfully\"},{\"type\":\"input_file\",\"filename\":\"verification.pdf\",\"file_data\":\"data:application/pdf;base64,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\"}]}],\"tools\":[{\"type\":\"function\",\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false},\"strict\":false}],\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"max_output_tokens\":40,\"temperature\":0,\"stream\":true}"
+        "body": "{\"model\":\"grok-4.5\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Return only the verification code from the PDF.\"}]},{\"type\":\"function_call\",\"call_id\":\"call_pdf_1\",\"name\":\"read_pdf\",\"arguments\":\"{}\"},{\"type\":\"function_call_output\",\"call_id\":\"call_pdf_1\",\"output\":[{\"type\":\"input_text\",\"text\":\"PDF read successfully\"},{\"type\":\"input_file\",\"filename\":\"verification.pdf\",\"file_data\":\"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iago8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4KZW5kb2JqCjIgMCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4KZW5kb2JqCjMgMCBvYmoKPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSAvUmVzb3VyY2VzIDw8IC9Gb250IDw8IC9GMSA1IDAgUiA+PiA+PiAvQ29udGVudHMgNCAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0xlbmd0aCA3NSA+PgpzdHJlYW0KQlQKL0YxIDE4IFRmCjcyIDcyMCBUZAooUERGIGNhc3NldHRlIHZlcmlmaWNhdGlvbiBjb2RlOiBPUkNISUQtNzM5MSkgVGoKRVQKZW5kc3RyZWFtCmVuZG9iago1IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBlIC9UeXBlMSAvQmFzZUZvbnQgL0hlbHZldGljYSA+PgplbmRvYmoKeHJlZgowIDYKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDA5IDAwMDAwIG4gCjAwMDAwMDAwNTggMDAwMDAgbiAKMDAwMDAwMDExNSAwMDAwMCBuIAowMDAwMDAwMjQxIDAwMDAwIG4gCjAwMDAwMDAzNjUgMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSA2IC9Sb290IDEgMCBSID4+CnN0YXJ0eHJlZgo0MzUKJSVFT0YK\"}]}],\"tools\":[{\"type\":\"function\",\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false},\"strict\":false}],\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"max_output_tokens\":40,\"temperature\":0,\"stream\":true,\"instructions\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"}"
      },
      "response": {
        "status": 200,
@@ -1,13 +1,7 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:xai",
-      "protocol:xai-responses",
-      "user-input"
-    ],
+    "tags": ["prefix:pdf", "pdf", "provider:xai", "protocol:xai-responses", "user-input"],
    "name": "pdf/xai-user-input",
    "recordedAt": "2026-08-25T03:29:10.612Z"
  },
@@ -52,4 +52,4 @@
      }
    }
  ]
-}
+}
@@ -2,12 +2,7 @@
  "version": 1,
  "metadata": {
    "model": "anthropic/claude-sonnet-4.6",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "provider:vercel-ai-gateway",
-      "protocol:openai-chat",
-      "reasoning"
-    ],
+    "tags": ["prefix:openai-compatible-chat", "provider:vercel-ai-gateway", "protocol:openai-chat", "reasoning"],
    "name": "vercel-ai-gateway-reasoning",
    "recordedAt": "2026-07-18T11:28:42.077Z"
  },
@@ -31,4 +26,4 @@
      }
    }
  ]
-}
+}
@@ -18,13 +18,19 @@ describe("provider error classification", () => {
    expect(messages.every(isContextOverflow)).toBe(true)
  })

-  test("classifies request size failures separately from context overflow", () => {
-    const failures = [
-      classifyProviderFailure({ message: "request too large", status: 413 }),
+  test("classifies Anthropic request_too_large as recoverable overflow", () => {
+    expect(
      classifyProviderFailure({
        message: '{"error":{"type":"request_too_large","message":"Request exceeds the maximum size"}}',
        status: 400,
      }),
+    ).toMatchObject({ _tag: "InvalidRequest", classification: "context-overflow" })
+    expect(isContextOverflow("413 status code (no body)")).toBe(true)
+  })
+
+  test("classifies generic request size failures separately from context overflow", () => {
+    const failures = [
+      classifyProviderFailure({ message: "request too large", status: 413 }),
      classifyProviderFailure({ message: "upstream request entity too large", status: 502 }),
    ]

@@ -33,7 +39,6 @@ describe("provider error classification", () => {
        expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" }),
      ),
    )
-    expect(isContextOverflow("413 status code (no body)")).toBe(false)
  })

  test("does not classify rate limits as context overflow", () => {
@@ -84,9 +89,7 @@ describe("provider error classification", () => {

  test("classifies network error text as provider internal", () => {
    expect(
-      ["network error", "network-error", "network_error"].map(
-        (message) => classifyProviderFailure({ message })._tag,
-      ),
+      ["network error", "network-error", "network_error"].map((message) => classifyProviderFailure({ message })._tag),
    ).toEqual(["ProviderInternal", "ProviderInternal", "ProviderInternal"])
  })

@@ -26,6 +26,10 @@ describe("provider package entrypoints", () => {
      import("@opencode-ai/ai/providers/amazon-bedrock/mantle"),
      import("@opencode-ai/ai/providers/amazon-bedrock/mantle/chat"),
      import("@opencode-ai/ai/providers/amazon-bedrock/mantle/responses"),
+      import("@opencode-ai/ai/providers/togetherai"),
+      import("@opencode-ai/ai/providers/cerebras"),
+      import("@opencode-ai/ai/providers/deepinfra"),
+      import("@opencode-ai/ai/providers/groq"),
    ])

    for (const module of modules) expect(module.model).toBeFunction()
@@ -35,6 +39,24 @@ describe("provider package entrypoints", () => {
    expect(modules[19].model).toBe(modules[20].model)
  })

+  test("maps DeepInfra package settings onto its native executable model", async () => {
+    const DeepInfra = await import("@opencode-ai/ai/providers/deepinfra")
+    const settings = {
+      apiKey: "fixture",
+      baseURL: "https://provider.example.test/v1/",
+      headers: { "x-application": "opencode" },
+      body: { service_tier: "priority" },
+      providerOptions: { reasoningEffort: "high" as const },
+    }
+    const deepinfra = DeepInfra.model("google/gemma-3-27b-it", settings)
+
+    expect(deepinfra.route.id).toBe("deepinfra-chat")
+    expect(deepinfra.route.endpoint.baseURL).toBe("https://provider.example.test/v1/openai")
+    expect(deepinfra.route.defaults.providerOptions).toEqual(settings.providerOptions)
+    expect(deepinfra.route.defaults.headers).toEqual(settings.headers)
+    expect(deepinfra.route.defaults.http?.body).toEqual(settings.body)
+  })
+
  test("maps OpenRouter and xAI package settings onto executable models", async () => {
    const OpenRouter = await import("@opencode-ai/ai/providers/openrouter")
    const XAI = await import("@opencode-ai/ai/providers/xai")
@@ -5,6 +5,7 @@ import { CacheHint, LLM, AIError, LLMRequest, Message, ToolCallPart, ToolDefinit
 import { Auth, LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import * as AnthropicMessages from "../../src/protocols/anthropic-messages.js"
+import { GoogleVertexMessages } from "../../src/providers.js"
 import { continuationRequest, nativeAnthropicMessagesContinuation } from "../continuation-scenarios.js"
 import { it } from "../lib/effect.js"
 import { dynamicResponse, fixedResponse } from "../lib/http.js"
@@ -27,6 +28,12 @@ const compileUnsignedReasoning = (model: LLMRequest["model"]) =>
    }),
  )

+const vertexOpus48 = GoogleVertexMessages.configure({
+  accessToken: "test",
+  location: "global",
+  project: "test",
+}).model("claude-opus-4-8")
+
 const request = LLM.request({
  id: "req_1",
  model,
@@ -286,6 +293,149 @@ describe("Anthropic Messages route", () => {
    }),
  )

+  it.effect("keeps a terminal Vertex system update in the tool-result turn", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: vertexOpus48,
+          messages: [
+            Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })]),
+            Message.tool({ id: "call_1", name: "lookup", result: "Done." }),
+            Message.system("Operator update."),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }],
+        },
+        {
+          role: "user",
+          content: [
+            {
+              type: "tool_result",
+              tool_use_id: "call_1",
+              content: '"Done."',
+              is_error: undefined,
+              cache_control: undefined,
+            },
+            {
+              type: "text",
+              text: "<system-update>\nOperator update.\n</system-update>",
+              cache_control: undefined,
+            },
+          ],
+        },
+      ])
+    }),
+  )
+
+  it.effect("preserves folded tool-result system updates across multi-turn Vertex history", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: vertexOpus48,
+          messages: [
+            Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })]),
+            Message.tool({ id: "call_1", name: "lookup", result: "Done." }),
+            Message.system("Operator update."),
+            Message.assistant("Acknowledged."),
+            Message.user("Next step."),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }],
+        },
+        {
+          role: "user",
+          content: [
+            {
+              type: "tool_result",
+              tool_use_id: "call_1",
+              content: '"Done."',
+              is_error: undefined,
+              cache_control: undefined,
+            },
+            {
+              type: "text",
+              text: "<system-update>\nOperator update.\n</system-update>",
+              cache_control: undefined,
+            },
+          ],
+        },
+        { role: "assistant", content: [{ type: "text", text: "Acknowledged." }] },
+        { role: "user", content: [{ type: "text", text: "Next step." }] },
+      ])
+    }),
+  )
+
+  it.effect("keeps a terminal direct Anthropic system update native", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: opus48,
+          messages: [
+            Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })]),
+            Message.tool({ id: "call_1", name: "lookup", result: "Done." }),
+            Message.system("Operator update."),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }],
+        },
+        {
+          role: "user",
+          content: [
+            {
+              type: "tool_result",
+              tool_use_id: "call_1",
+              content: '"Done."',
+              is_error: undefined,
+              cache_control: undefined,
+            },
+          ],
+        },
+        {
+          role: "system",
+          content: [{ type: "text", text: "Operator update.", cache_control: undefined }],
+        },
+      ])
+    }),
+  )
+
+  it.effect("keeps an ordinary terminal Vertex system update native", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: vertexOpus48,
+          messages: [Message.user("Before."), Message.system("Operator update.")],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        { role: "user", content: [{ type: "text", text: "Before." }] },
+        {
+          role: "system",
+          content: [{ type: "text", text: "Operator update.", cache_control: undefined }],
+        },
+      ])
+    }),
+  )
+
  it.effect("rejects a system update between a local tool call and its result", () =>
    Effect.gen(function* () {
      const error = yield* compileRequest(
@@ -1,11 +1,12 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { LLM } from "../../src/index.js"
+import { LLM, Message } from "../../src/index.js"
 import { AmazonBedrockMantle } from "../../src/providers.js"
+import { OpenAIResponses } from "../../src/protocols/openai-responses.js"
 import { compileRequest, LLMClient } from "../../src/route/client.js"
 import { it } from "../lib/effect.js"
-import { dynamicResponse } from "../lib/http.js"
+import { dynamicResponse, fixedResponse } from "../lib/http.js"
 import { sseEvents } from "../lib/sse.js"
 import { recordedTests } from "../recorded-test.js"

@@ -19,6 +20,7 @@ describe("Amazon Bedrock Mantle provider", () => {
  it.effect("uses Chat by default and exposes Responses", () =>
    Effect.gen(function* () {
      const provider = AmazonBedrockMantle.configure({ credentials })
+      expect(provider.responses("openai.gpt-oss-120b").route.transport).toBe(OpenAIResponses.httpTransport)
      const chat = yield* compileRequest(LLM.request({ model: provider.model("openai.gpt-oss-120b"), prompt: "Hi" }))
      const responses = yield* compileRequest(
        LLM.request({ model: provider.responses("openai.gpt-oss-120b"), prompt: "Hi" }),
@@ -83,6 +85,39 @@ describe("Amazon Bedrock Mantle provider", () => {
      expect(seen).toEqual([{ url: "https://mantle.test/v1/chat/completions", authorization: "Bearer test-key" }])
    }),
  )
+
+  it.effect("replays reasoning with Mantle's message-prefixed item ids", () =>
+    Effect.gen(function* () {
+      const model = AmazonBedrockMantle.configure({ apiKey: "test-key" }).responses("openai.gpt-oss-120b")
+      const item = { type: "reasoning", id: "msg_95d4d0af4350432a", encrypted_content: "mantle-state" }
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Think." })).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { type: "response.output_item.added", item },
+              { type: "response.reasoning_summary_text.delta", item_id: item.id, delta: "Considering." },
+              { type: "response.output_item.done", item },
+              { type: "response.completed", response: { id: "resp_1" } },
+            ),
+          ),
+        ),
+      )
+
+      const prepared = yield* compileRequest(
+        LLM.request({ model, messages: [response.message, Message.user("Continue.")] }),
+      )
+
+      expect(prepared.body.input).toEqual([
+        {
+          type: "reasoning",
+          id: "msg_95d4d0af4350432a",
+          summary: [{ type: "summary_text", text: "Considering." }],
+          encrypted_content: "mantle-state",
+        },
+        { role: "user", content: [{ type: "input_text", text: "Continue." }] },
+      ])
+    }),
+  )
 })

 const recorded = recordedTests({
@@ -515,7 +515,10 @@ describe("Gemini route", () => {
        {
          role: "model",
          parts: [
-            { functionCall: { id: "call_image", name: "read", args: { path: "pixel.png" } }, thoughtSignature: "sig_1" },
+            {
+              functionCall: { id: "call_image", name: "read", args: { path: "pixel.png" } },
+              thoughtSignature: "sig_1",
+            },
          ],
        },
        {
@@ -606,10 +609,7 @@ describe("Gemini route", () => {
      expect(prepared.body.contents).toEqual([
        {
          role: "model",
-          parts: [
-            { functionCall: { name: "shot", args: {} } },
-            { functionCall: { name: "shot", args: {} } },
-          ],
+          parts: [{ functionCall: { name: "shot", args: {} } }, { functionCall: { name: "shot", args: {} } }],
        },
        {
          role: "user",
@@ -1071,7 +1071,9 @@ describe("Gemini route", () => {
      const prepared = yield* compileRequest(
        LLM.request({
          model,
-          messages: [Message.assistant([{ type: "text", text: "All done.", providerMetadata: delta?.providerMetadata }])],
+          messages: [
+            Message.assistant([{ type: "text", text: "All done.", providerMetadata: delta?.providerMetadata }]),
+          ],
        }),
      )
      expect(prepared.body.contents).toEqual([
@@ -1572,9 +1574,7 @@ describe("Gemini route", () => {
              { candidates: [{ content: { role: "model", parts: null } }] },
              { candidates: [{ content: null, finishReason: null }] },
              {
-                candidates: [
-                  { content: { role: "model", parts: [{ text: "Hello" }] }, finishReason: "STOP" as const },
-                ],
+                candidates: [{ content: { role: "model", parts: [{ text: "Hello" }] }, finishReason: "STOP" as const }],
              },
            ),
          ),
@@ -1,5 +1,6 @@
 import * as Anthropic from "../../src/providers/anthropic.js"
 import * as AnthropicCompatible from "../../src/providers/anthropic-compatible.js"
+import { Cerebras, DeepInfra, TogetherAI } from "../../src/providers/index.js"
 import { CloudflareAIGateway, CloudflareWorkersAI } from "../../src/providers/cloudflare.js"
 import * as Google from "../../src/providers/google.js"
 import * as OpenAI from "../../src/providers/openai.js"
@@ -47,14 +48,16 @@ const cloudflareWorkersAITools = cloudflareWorkers.model("@cf/openai/gpt-oss-20b
 const deepseek = OpenAICompatible.deepseek
  .configure({ apiKey: process.env.DEEPSEEK_API_KEY ?? "fixture" })
  .model("deepseek-chat")
-const together = OpenAICompatible.togetherai
-  .configure({
-    apiKey: process.env.TOGETHER_AI_API_KEY ?? "fixture",
-  })
-  .model("meta-llama/Llama-3.3-70B-Instruct-Turbo")
+const together = TogetherAI.configure({
+  apiKey: process.env.TOGETHER_API_KEY ?? process.env.TOGETHER_AI_API_KEY ?? "fixture",
+}).model("meta-llama/Llama-3.3-70B-Instruct-Turbo")
+const cerebras = Cerebras.configure({ apiKey: process.env.CEREBRAS_API_KEY ?? "fixture" }).model("gpt-oss-120b")
 const groq = OpenAICompatible.groq
  .configure({ apiKey: process.env.GROQ_API_KEY ?? "fixture" })
  .model("llama-3.3-70b-versatile")
+const deepInfra = DeepInfra.configure({ apiKey: process.env.DEEPINFRA_API_KEY ?? "fixture" }).model(
+  "meta-llama/Llama-3.3-70B-Instruct-Turbo",
+)
 const openRouter = OpenRouter.configure({ apiKey: process.env.OPENROUTER_API_KEY ?? "fixture" })
 const openrouter = openRouter.model("openai/gpt-4o-mini")
 const openrouterGpt55 = openRouter.model("openai/gpt-5.5")
@@ -193,8 +196,27 @@ describeRecordedGoldenScenarios([
    name: "TogetherAI Llama 3.3 70B",
    prefix: "openai-compatible-chat",
    model: together,
-    requires: ["TOGETHER_AI_API_KEY"],
-    scenarios: ["text", "tool-call"],
+    requires: ["TOGETHER_API_KEY"],
+    scenarios: [
+      {
+        id: "text",
+        cassette: "openai-compatible-chat/togetherai-streams-text",
+        prompt: "Reply with exactly: Hello!",
+        maxTokens: 20,
+      },
+      { id: "tool-call", cassette: "openai-compatible-chat/togetherai-streams-tool-call" },
+    ],
+  },
+  {
+    name: "Cerebras GPT OSS 120B",
+    prefix: "cerebras-chat",
+    model: cerebras,
+    requires: ["CEREBRAS_API_KEY"],
+    scenarios: [
+      { id: "text", maxTokens: 256, temperature: false },
+      { id: "tool-call", maxTokens: 512, temperature: false },
+      { id: "tool-loop", maxTokens: 512, temperature: false, timeout: 30_000 },
+    ],
  },
  {
    name: "Groq Llama 3.3 70B",
@@ -203,6 +225,13 @@ describeRecordedGoldenScenarios([
    requires: ["GROQ_API_KEY"],
    scenarios: ["text", "tool-call", { id: "tool-loop", timeout: 30_000 }],
  },
+  {
+    name: "DeepInfra Llama 3.3 70B",
+    prefix: "deepinfra-chat",
+    model: deepInfra,
+    requires: ["DEEPINFRA_API_KEY"],
+    scenarios: ["text", "tool-call", { id: "tool-loop", timeout: 30_000 }],
+  },
  {
    name: "OpenRouter gpt-4o-mini",
    prefix: "openai-compatible-chat",
@@ -26,9 +26,7 @@ const recorded = recordedTests({
 describe("Google Vertex Gemini recorded", () => {
  recorded.effect("streams text", () =>
    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({ model, prompt: "Reply with exactly one word: hello" }),
-      )
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Reply with exactly one word: hello" }))

      expect(response.text.toLowerCase()).toContain("hello")
    }),
@@ -0,0 +1,185 @@
+import { configure } from "@opencode-ai/ai/providers/groq"
+import { describe, expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMEvent, LLMRequest, LLMResponse, Message, ToolChoice, ToolDefinition } from "../../src/index.js"
+import { LLMClient } from "../../src/route.js"
+import { compileRequest } from "../../src/route/client.js"
+import { recordedTests } from "../recorded-test.js"
+
+const apiKey = process.env.GROQ_API_KEY ?? "fixture"
+const recorded = recordedTests({
+  prefix: "groq-chat",
+  provider: "groq",
+  protocol: "groq-chat",
+  requires: ["GROQ_API_KEY"],
+})
+
+const weather = ToolDefinition.make({
+  name: "lookup_weather",
+  description: "Look up the current weather for a city",
+  inputSchema: {
+    type: "object",
+    properties: { city: { type: "string", enum: ["Paris", "London"] } },
+    required: ["city"],
+    additionalProperties: false,
+  },
+})
+
+describe("Groq recorded", () => {
+  recorded.effect.with(
+    "streams text with usage",
+    { tags: ["text", "usage"], metadata: { model: "openai/gpt-oss-20b" } },
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model: configure({
+            apiKey,
+            providerOptions: {
+              includeReasoning: false,
+              reasoningEffort: "low",
+              serviceTier: "on_demand",
+              user: "recorded-test",
+            },
+          }).model("openai/gpt-oss-20b"),
+          prompt: "Reply with exactly one word: hello",
+          generation: { maxTokens: 512 },
+        })
+        const compiled = yield* compileRequest(request)
+        expect(compiled.body).toMatchObject({
+          max_completion_tokens: 512,
+          stream_options: { include_usage: true },
+          include_reasoning: false,
+          service_tier: "on_demand",
+          user: "recorded-test",
+        })
+        expect(compiled.body.max_tokens).toBeUndefined()
+        expect(compiled.body.store).toBeUndefined()
+        expect(compiled.body.reasoning_format).toBeUndefined()
+
+        const response = yield* LLMClient.generate(request)
+        expect(response.text.toLowerCase().trim()).toBe("hello")
+        expect(response.reasoning).toBe("")
+        expect(response.events.some(LLMEvent.is.textDelta)).toBe(true)
+        expectUsage(response)
+      }),
+    60_000,
+  )
+
+  for (const item of [
+    {
+      name: "continues Qwen parallel tool calls",
+      model: configure({ apiKey, providerOptions: { parallelToolCalls: true, reasoningEffort: "none" } }).model(
+        "qwen/qwen3.6-27b",
+      ),
+      cities: ["Paris", "London"],
+      reasoning: false,
+    },
+    {
+      name: "replays GPT OSS reasoning through a tool loop",
+      model: configure({ apiKey, providerOptions: { includeReasoning: true, reasoningEffort: "low" } }).model(
+        "openai/gpt-oss-20b",
+      ),
+      cities: ["Paris"],
+      reasoning: true,
+    },
+  ]) {
+    recorded.effect.with(
+      item.name,
+      {
+        tags: ["tool", "tool-loop", "usage", item.reasoning ? "reasoning" : "parallel"],
+        metadata: { model: item.model.id },
+      },
+      () =>
+        Effect.gen(function* () {
+          const request = LLM.request({
+            model: item.model,
+            prompt: `Look up the current weather in ${item.cities.join(" and ")}. Call lookup_weather once for each city in the same response before answering. After receiving all results, report each city's weather in one short sentence.`,
+            tools: [weather],
+            toolChoice: "required",
+            generation: { maxTokens: 1536 },
+          })
+          const compiled = yield* compileRequest(request)
+          expect(compiled.body.stream_options).toEqual({ include_usage: true })
+          expect(compiled.body.store).toBeUndefined()
+          expect(compiled.body.reasoning_format).toBe(item.reasoning ? undefined : "parsed")
+          expect(compiled.body.tools[0].function.strict).toBeUndefined()
+          if (!item.reasoning) expect(compiled.body.parallel_tool_calls).toBe(true)
+
+          const first = yield* LLMClient.generate(request)
+          expect(first.finishReason.normalized).toBe("tool-calls")
+          expect(first.toolCalls).toHaveLength(item.cities.length)
+          expect(new Set(first.toolCalls.map((call) => call.id)).size).toBe(item.cities.length)
+          expect(first.toolCalls.map((call) => call.input)).toEqual(
+            expect.arrayContaining(item.cities.map((city) => ({ city }))),
+          )
+          expect(first.toolCalls.every((call) => call.name === "lookup_weather")).toBe(true)
+          expectUsage(first)
+          if (item.reasoning) {
+            expect(first.reasoning.length).toBeGreaterThan(0)
+            expect(first.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+          }
+
+          const followUp = LLMRequest.update(request, {
+            toolChoice: ToolChoice.make("none"),
+            messages: [
+              ...request.messages,
+              first.message,
+              ...first.toolCalls.map((call) =>
+                Message.tool({ id: call.id, name: call.name, result: { condition: "sunny", temperature: "18C" } }),
+              ),
+            ],
+          })
+          const replay = yield* compileRequest(followUp)
+          if (item.reasoning) {
+            expect(replay.body.messages).toEqual(
+              expect.arrayContaining([expect.objectContaining({ role: "assistant", reasoning: first.reasoning })]),
+            )
+          }
+          expect(replay.body.reasoning_format).toBe(item.reasoning ? undefined : "parsed")
+
+          const second = yield* LLMClient.generate(followUp)
+          expect(second.finishReason.normalized).toBe("stop")
+          expect(second.toolCalls).toHaveLength(0)
+          expect(second.text.toLowerCase()).toContain("sunny")
+          item.cities.forEach((city) => expect(second.text).toContain(city))
+          expectUsage(second)
+        }),
+      60_000,
+    )
+  }
+
+  recorded.effect.with(
+    "streams Qwen parsed reasoning",
+    { tags: ["reasoning", "usage"], metadata: { model: "qwen/qwen3.6-27b" } },
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model: configure({
+            apiKey,
+            providerOptions: { reasoningEffort: "default" },
+          }).model("qwen/qwen3.6-27b"),
+          prompt:
+            "What is 173 multiplied by 219? Think through the arithmetic, then reply with only the final integer.",
+          generation: { maxTokens: 2048 },
+        })
+        const compiled = yield* compileRequest(request)
+        expect(compiled.body).toMatchObject({ reasoning_format: "parsed", reasoning_effort: "default" })
+        expect(compiled.body.include_reasoning).toBeUndefined()
+
+        const response = yield* LLMClient.generate(request)
+        expect(response.text.replaceAll(",", "").trim()).toBe("37887")
+        expect(response.text).not.toContain("<think>")
+        expect(response.reasoning.length).toBeGreaterThan(0)
+        expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+        expectUsage(response)
+      }),
+    60_000,
+  )
+})
+
+function expectUsage(response: LLMResponse) {
+  expect(response.usage).toBeDefined()
+  expect(response.usage?.inputTokens).toBeGreaterThan(0)
+  expect(response.usage?.outputTokens).toBeGreaterThan(0)
+  expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+}
@@ -0,0 +1,112 @@
+import { expect } from "bun:test"
+import { Effect } from "effect"
+import { LanguageModel, LLM, Message } from "../../src/index.js"
+import { OpenAIChat } from "../../src/protocols/openai-chat.js"
+import { Groq } from "../../src/providers/groq.js"
+import { compileRequest } from "../../src/route/client.js"
+import { it } from "../lib/effect.js"
+import { weatherTool } from "../recorded-scenarios.js"
+
+it.effect("Groq reuses Chat streaming and defaults to parsed reasoning", () =>
+  Effect.gen(function* () {
+    expect(Groq.protocol.stream).toBe(OpenAIChat.protocol.stream)
+    const model = Groq.configure({ apiKey: "fixture" }).model("llama-3.3-70b-versatile")
+    expect(model.route.endpoint.baseURL).toBe("https://api.groq.com/openai/v1")
+    const compiled = yield* compileRequest(
+      LLM.request({ model, prompt: "Hello", tools: [weatherTool], generation: { maxTokens: 64 } }),
+    )
+    expect(compiled.body).toMatchObject({
+      max_completion_tokens: 64,
+      stream_options: { include_usage: true },
+      reasoning_format: "parsed",
+    })
+    for (const key of ["store", "max_tokens", "include_reasoning", "parallel_tool_calls", "service_tier", "user"])
+      expect(compiled.body[key]).toBeUndefined()
+    expect(compiled.body.tools?.[0]?.function).not.toHaveProperty("strict")
+  }),
+)
+
+it.effect("Groq lowers its own options for custom catalog identities and endpoints", () =>
+  Effect.gen(function* () {
+    const model = LanguageModel.update(
+      Groq.model("qwen/qwen3.6-27b", {
+        apiKey: "fixture",
+        baseURL: "https://gateway.example/v1",
+        headers: { "x-client": "test" },
+        body: { custom: "value" },
+        providerOptions: {
+          reasoningEffort: "default",
+          parallelToolCalls: true,
+          serviceTier: "flex",
+          user: "test-user",
+        },
+      }),
+      { provider: "custom-groq" },
+    )
+    const compiled = yield* compileRequest(
+      LLM.request({ model, prompt: "Hello", providerOptions: { parallelToolCalls: false, includeReasoning: false } }),
+    )
+    expect(model.route.endpoint.baseURL).toBe("https://gateway.example/v1")
+    expect(model.route.defaults.headers).toEqual({ "x-client": "test" })
+    expect(model.route.defaults.http?.body).toEqual({ custom: "value" })
+    expect(compiled.body).toMatchObject({
+      reasoning_effort: "default",
+      reasoning_format: "parsed",
+      parallel_tool_calls: false,
+      service_tier: "flex",
+      user: "test-user",
+    })
+    expect(compiled.body.include_reasoning).toBeUndefined()
+    for (const key of ["reasoningFormat", "reasoningEffort", "parallelToolCalls", "serviceTier"])
+      expect(compiled.body).not.toHaveProperty(key)
+  }),
+)
+
+it.effect("Groq replays reasoning only when present and preserves explicit reasoning exclusion", () =>
+  Effect.gen(function* () {
+    const compiled = yield* compileRequest(
+      LLM.request({
+        model: Groq.configure({ apiKey: "fixture" }).model("openai/gpt-oss-20b"),
+        messages: [
+          Message.user("Think"),
+          Message.assistant([
+            { type: "reasoning", text: "Thinking" },
+            { type: "text", text: "Answer" },
+          ]),
+          Message.user("Again"),
+          Message.assistant("Answer only"),
+          Message.user("Continue"),
+        ],
+        providerOptions: { reasoningEffort: "low", includeReasoning: false },
+      }),
+    )
+    expect(compiled.body).toMatchObject({ reasoning_effort: "low", include_reasoning: false })
+    expect(compiled.body.reasoning_format).toBeUndefined()
+    expect(compiled.body.messages[1]).toMatchObject({ reasoning: "Thinking", content: "Answer" })
+    expect(compiled.body.messages[1]).not.toHaveProperty("reasoning_content")
+    expect(compiled.body.messages[3]).not.toHaveProperty("reasoning")
+  }),
+)
+
+it.effect("Groq omits reasoning_format for the GPT-OSS family by default", () =>
+  Effect.gen(function* () {
+    for (const id of ["openai/gpt-oss-20b", "openai/gpt-oss-120b", "openai/gpt-oss-safeguard-20b"]) {
+      const compiled = yield* compileRequest(
+        LLM.request({ model: Groq.configure({ apiKey: "fixture" }).model(id), prompt: "Hello" }),
+      )
+      expect(compiled.body.reasoning_format).toBeUndefined()
+      expect(compiled.body.include_reasoning).toBeUndefined()
+    }
+  }),
+)
+
+it.effect("Groq validates option types", () =>
+  Effect.gen(function* () {
+    for (const providerOptions of [{ includeReasoning: "false" }, { parallelToolCalls: "false" }]) {
+      const error = yield* compileRequest(
+        LLM.request({ model: Groq.configure({ apiKey: "fixture" }).model("qwen"), prompt: "Hello", providerOptions }),
+      ).pipe(Effect.flip)
+      expect(error.reason._tag).toBe("InvalidRequest")
+    }
+  }),
+)
@@ -0,0 +1,190 @@
+import { describe, expect } from "bun:test"
+import { ConfigProvider, Effect } from "effect"
+import { HttpClientRequest } from "effect/unstable/http"
+import { LLM, Message, ToolDefinition } from "../../src/index.js"
+import { Cerebras, DeepInfra, Groq, TogetherAI } from "../../src/providers/index.js"
+import { compileRequest } from "../../src/route/client.js"
+import { it } from "../lib/effect.js"
+import { dynamicResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+
+describe("native OpenAI-compatible providers", () => {
+  it.effect("preserves native Together AI and Cerebras provider and route identities", () =>
+    Effect.gen(function* () {
+      const together = TogetherAI.configure({ apiKey: "fixture" }).model("meta-llama/Llama-3.3-70B")
+      const cerebras = Cerebras.configure({ apiKey: "fixture" }).model("qwen-3-235b-a22b")
+
+      expect(together).toMatchObject({
+        provider: "togetherai",
+        compatibility: { maxTokensField: "max_tokens", supportsStore: false, supportsStrictMode: false },
+        route: { id: "togetherai-chat", protocol: "openai-chat" },
+      })
+      expect(together.route.endpoint.baseURL).toBe("https://api.together.xyz/v1")
+      expect(cerebras).toMatchObject({
+        provider: "cerebras",
+        compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning", supportsStore: false },
+        route: { id: "cerebras-chat", protocol: "openai-chat" },
+      })
+      expect(cerebras.route.endpoint.baseURL).toBe("https://api.cerebras.ai/v1")
+    }),
+  )
+
+  it.effect("preserves native DeepInfra provider and route identity", () =>
+    Effect.gen(function* () {
+      const deepinfra = DeepInfra.configure({ apiKey: "fixture" }).model("google/gemma-3-27b-it")
+      expect(deepinfra).toMatchObject({
+        provider: "deepinfra",
+        compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning_content", supportsStore: false },
+        route: { id: "deepinfra-chat", protocol: "openai-chat" },
+      })
+      expect(deepinfra.route.endpoint.baseURL).toBe("https://api.deepinfra.com/v1/openai")
+    }),
+  )
+
+  it.effect("applies native provider request defaults even with a custom gateway URL", () =>
+    Effect.gen(function* () {
+      const together = yield* compileRequest(
+        LLM.request({
+          model: TogetherAI.configure({ apiKey: "fixture", baseURL: "https://gateway.example/v1" }).model("llama"),
+          prompt: "Use a tool.",
+          generation: { maxTokens: 32 },
+          tools: [
+            ToolDefinition.make({ name: "lookup", description: "Look up data", inputSchema: { type: "object" } }),
+          ],
+          providerOptions: { store: true },
+        }),
+      )
+
+      expect(together.body).toMatchObject({
+        max_tokens: 32,
+        stream_options: { include_usage: true },
+        tools: [{ function: { name: "lookup" } }],
+      })
+      expect(together.body).not.toHaveProperty("max_completion_tokens")
+      expect(together.body).not.toHaveProperty("store")
+      expect(together.body.tools?.[0]?.function).not.toHaveProperty("strict")
+
+      const cerebras = yield* compileRequest(
+        LLM.request({
+          model: Cerebras.configure({ apiKey: "fixture", baseURL: "https://gateway.example/v1" }).model("qwen"),
+          generation: { maxTokens: 48 },
+          messages: [
+            Message.user("Think first."),
+            Message.assistant([
+              { type: "reasoning", text: "A deliberate thought." },
+              { type: "text", text: "An answer." },
+            ]),
+            Message.user("Continue."),
+          ],
+          providerOptions: { store: true },
+        }),
+      )
+
+      expect(cerebras.body).toMatchObject({
+        max_tokens: 48,
+        messages: [
+          { role: "user", content: "Think first." },
+          { role: "assistant", content: "An answer.", reasoning: "A deliberate thought." },
+          { role: "user", content: "Continue." },
+        ],
+      })
+      expect(cerebras.body).not.toHaveProperty("max_completion_tokens")
+      expect(cerebras.body).not.toHaveProperty("store")
+      expect(cerebras.body.messages[1]).not.toHaveProperty("reasoning_content")
+    }),
+  )
+
+  it.effect("normalizes DeepInfra API roots without duplicating the OpenAI path", () =>
+    Effect.gen(function* () {
+      for (const baseURL of [
+        "https://gateway.example/v1",
+        "https://gateway.example/v1/",
+        "https://gateway.example/v1/openai",
+        "https://gateway.example/v1/openai/",
+      ]) {
+        expect(DeepInfra.configure({ apiKey: "fixture", baseURL }).model("gemma").route.endpoint.baseURL).toBe(
+          "https://gateway.example/v1/openai",
+        )
+      }
+    }),
+  )
+
+  it.effect("maps package settings onto native executable models", () =>
+    Effect.gen(function* () {
+      for (const native of [TogetherAI, Cerebras]) {
+        const selected = native.model("provider-model", {
+          apiKey: "fixture",
+          baseURL: "https://gateway.example/v1",
+          headers: { "x-application": "opencode" },
+          body: { service_tier: "priority" },
+          providerOptions: { reasoningEffort: "high" },
+        })
+
+        expect(selected.route.endpoint.baseURL).toBe("https://gateway.example/v1")
+        expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
+        expect(selected.route.defaults.http?.body).toEqual({ service_tier: "priority" })
+        expect(selected.route.defaults.providerOptions).toEqual({ reasoningEffort: "high" })
+      }
+    }),
+  )
+
+  it.effect("resolves provider environment credentials and preserves deprecated Together credentials", () =>
+    Effect.gen(function* () {
+      const scenarios = [
+        {
+          model: TogetherAI.configure().model("llama"),
+          env: { TOGETHER_API_KEY: "together-primary", TOGETHER_AI_API_KEY: "together-legacy" },
+          token: "together-primary",
+          url: "https://api.together.xyz/v1/chat/completions",
+        },
+        {
+          model: TogetherAI.configure().model("llama"),
+          env: { TOGETHER_AI_API_KEY: "together-legacy" },
+          token: "together-legacy",
+          url: "https://api.together.xyz/v1/chat/completions",
+        },
+        {
+          model: Cerebras.configure().model("qwen"),
+          env: { CEREBRAS_API_KEY: "cerebras-secret" },
+          token: "cerebras-secret",
+          url: "https://api.cerebras.ai/v1/chat/completions",
+        },
+        {
+          model: DeepInfra.configure().model("gemma"),
+          env: { DEEPINFRA_API_KEY: "deepinfra-secret" },
+          token: "deepinfra-secret",
+          url: "https://api.deepinfra.com/v1/openai/chat/completions",
+        },
+        {
+          model: Groq.configure().model("llama"),
+          env: { GROQ_API_KEY: "groq-secret" },
+          token: "groq-secret",
+          url: "https://api.groq.com/openai/v1/chat/completions",
+        },
+      ]
+
+      yield* Effect.forEach(scenarios, (scenario) =>
+        LLM.generate(LLM.request({ model: scenario.model, prompt: "Say hello." })).pipe(
+          Effect.provide(
+            dynamicResponse((input) =>
+              Effect.gen(function* () {
+                const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
+                expect(request.url).toBe(scenario.url)
+                expect(request.headers.get("authorization")).toBe(`Bearer ${scenario.token}`)
+                return input.respond(
+                  sseEvents(
+                    { id: "chatcmpl_fixture", choices: [{ delta: { content: "Hello" }, finish_reason: null }] },
+                    { id: "chatcmpl_fixture", choices: [{ delta: {}, finish_reason: "stop" }] },
+                  ),
+                  { headers: { "content-type": "text/event-stream" } },
+                )
+              }),
+            ),
+          ),
+          Effect.provide(ConfigProvider.layer(ConfigProvider.fromEnv({ env: scenario.env }))),
+          Effect.tap((response) => Effect.sync(() => expect(response.text).toBe("Hello"))),
+        ),
+      )
+    }),
+  )
+})
@@ -169,6 +169,56 @@ describe("OpenAI Chat route", () => {
    }),
  )

+  it.effect("preserves observed reasoning fields when reasoning is required", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: LanguageModel.update(model, { compatibility: { requireReasoning: true } }),
+          messages: [
+            Message.assistant([
+              {
+                type: "reasoning",
+                text: "thinking",
+                providerMetadata: { openai: { reasoningField: "reasoning_text" } },
+              },
+              { type: "text", text: "Hello" },
+            ]),
+            Message.assistant("Done"),
+          ],
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        { role: "assistant", content: "Hello", reasoning_text: "thinking" },
+        { role: "assistant", content: "Done", reasoning_content: "" },
+      ])
+    }),
+  )
+
+  it.effect("omits empty configured reasoning fields when reasoning is explicitly optional", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: LanguageModel.update(model, {
+            compatibility: { reasoningField: "reasoning_text", requireReasoning: false },
+          }),
+          messages: [
+            Message.assistant([
+              { type: "reasoning", text: "thinking" },
+              { type: "text", text: "Hello" },
+            ]),
+            Message.assistant("Done"),
+          ],
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        { role: "assistant", content: "Hello", reasoning_text: "thinking" },
+        { role: "assistant", content: "Done" },
+      ])
+    }),
+  )
+
  it.effect("rejects reasoning fields that conflict with assistant message fields", () =>
    Effect.gen(function* () {
      const error = yield* compileRequest(
@@ -317,6 +317,56 @@ describe("OpenAI-compatible Chat route", () => {
    }),
  )

+  it.effect("requires reasoning for DeepSeek models, providers, and endpoints unless explicitly overridden", () =>
+    Effect.gen(function* () {
+      const cases = [
+        { id: "DeepSeek-V3", provider: "custom", baseURL: "https://api.custom.test/v1", required: true },
+        { id: "custom-model", provider: "deepseek", baseURL: "https://api.custom.test/v1", required: true },
+        { id: "custom-model", provider: "custom", baseURL: "https://API.DeepSeek.COM/v1", required: true },
+        { id: "ordinary-model", provider: "custom", baseURL: "https://api.custom.test/v1", required: false },
+        {
+          id: "ordinary-model",
+          provider: "custom",
+          baseURL: "https://api.custom.test/v1",
+          compatibility: { requireReasoning: true, reasoningField: "reasoning" },
+          required: true,
+          field: "reasoning",
+        },
+        {
+          id: "deepseek-chat",
+          provider: "deepseek",
+          baseURL: "https://api.deepseek.com/v1",
+          compatibility: { requireReasoning: false },
+          required: false,
+        },
+      ] as const
+
+      yield* Effect.forEach(cases, (item) =>
+        Effect.gen(function* () {
+          const selected = OpenAICompatibleChat.route
+            .with({ provider: item.provider, endpoint: { baseURL: item.baseURL } })
+            .model({ id: item.id, compatibility: "compatibility" in item ? item.compatibility : undefined })
+          const prepared = yield* compileRequest(
+            LLM.request({
+              model: selected,
+              messages: [
+                Message.assistant("Hello"),
+                Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })]),
+                Message.tool({ id: "call_1", name: "lookup", result: "Sunny" }),
+              ],
+            }),
+          )
+          const field = "field" in item ? item.field : "reasoning_content"
+
+          for (const message of prepared.body.messages.filter((message) => message.role === "assistant")) {
+            if (item.required) expect(message).toHaveProperty(field, "")
+            else expect(message).not.toHaveProperty(field)
+          }
+        }),
+      )
+    }),
+  )
+
  it.effect("posts to the configured compatible endpoint and parses text usage", () =>
    Effect.gen(function* () {
      const response = yield* LLMClient.generate(request).pipe(
@@ -47,10 +47,8 @@ describe("Open Responses-compatible route", () => {
      })
      expect(prepared.body).toEqual({
        model: "example-model",
-        input: [
-          { role: "system", content: "You are concise." },
-          { role: "user", content: [{ type: "input_text", text: "Say hello." }] },
-        ],
+        input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
+        instructions: "You are concise.",
        stream: true,
        store: false,
        include: ["reasoning.encrypted_content"],
@@ -84,10 +82,12 @@ describe("Open Responses-compatible route", () => {
      const prepared = yield* compileRequest(
        LLM.request({
          model,
+          system: "Initial instructions.",
          messages: [Message.user("Before."), Message.system("Operator update."), Message.assistant("After.")],
        }),
      )

+      expect(prepared.body.instructions).toBe("Initial instructions.")
      expect(prepared.body.input).toEqual([
        { role: "user", content: [{ type: "input_text", text: "Before." }] },
        { role: "developer", content: "Operator update." },
@@ -195,15 +195,19 @@ describe("Open Responses-compatible route", () => {
          model,
          messages: [
            Message.assistant([
-              // The baseline does not enforce a provider id grammar, so a
-              // non-OpenAI but well-formed token is resent as-is.
              { type: "text", text: "Kept.", providerMetadata: { openresponses: { itemId: "history_1" } } },
-              // Shape violations are dropped even without a grammar policy.
              {
                type: "text",
-                text: "Dropped.",
-                providerMetadata: { openresponses: { itemId: `m${"a".repeat(64)}` } },
+                text: "Long.",
+                providerMetadata: { openresponses: { itemId: `history_${"a".repeat(64)}` } },
              },
+              {
+                type: "text",
+                text: "Opaque.",
+                providerMetadata: { openresponses: { itemId: "provider_value/with+symbols" } },
+              },
+              { type: "text", text: "No suffix.", providerMetadata: { openresponses: { itemId: "msg_" } } },
+              { type: "text", text: "No prefix.", providerMetadata: { openresponses: { itemId: "_item" } } },
            ]),
          ],
        }),
@@ -218,8 +222,23 @@ describe("Open Responses-compatible route", () => {
        },
        {
          type: "message",
+          id: `history_${"a".repeat(64)}`,
          role: "assistant",
-          content: [{ type: "output_text", text: "Dropped." }],
+          content: [{ type: "output_text", text: "Long." }],
+        },
+        {
+          type: "message",
+          id: "provider_value/with+symbols",
+          role: "assistant",
+          content: [{ type: "output_text", text: "Opaque." }],
+        },
+        {
+          type: "message",
+          role: "assistant",
+          content: [
+            { type: "output_text", text: "No suffix." },
+            { type: "output_text", text: "No prefix." },
+          ],
        },
      ])
    }),
@@ -288,6 +307,324 @@ describe("Open Responses-compatible route", () => {
    }),
  )

+  describe("stream validation", () => {
+    const request = LLM.request({
+      model: configure({ apiKey: "test-key", baseURL: "https://responses.example.test/v1" }).model("example-model"),
+      prompt: "Respond.",
+    })
+
+    const fixtures = [
+      {
+        item: { type: "message" },
+        events: [
+          { type: "response.output_text.delta", delta: "Preserved" },
+          { type: "response.output_text.done", text: "Preserved" },
+          { type: "response.refusal.delta", delta: "Preserved" },
+          { type: "response.refusal.done", refusal: "Preserved" },
+        ],
+      },
+      {
+        item: { type: "reasoning", encrypted_content: "encrypted-state" },
+        events: [
+          { type: "response.reasoning.delta", delta: "Preserved" },
+          { type: "response.reasoning.done", text: "Preserved" },
+          { type: "response.reasoning_summary_text.delta", delta: "Preserved" },
+          { type: "response.reasoning_summary_text.done", text: "Preserved" },
+          { type: "response.reasoning_text.done", text: "Preserved" },
+        ],
+      },
+      {
+        item: { type: "function_call", call_id: "call_1", name: "lookup" },
+        events: [
+          { type: "response.function_call_arguments.delta", delta: '{"query":"Preserved"}' },
+          { type: "response.function_call_arguments.done", arguments: '{"query":"Preserved"}' },
+        ],
+      },
+    ]
+
+    const routings = [
+      { name: "empty item and event IDs", id: "", item_id: "" },
+      { name: "empty event ID with registered index", id: "item_1", item_id: "", output_index: 2 },
+      { name: "empty stored ID with registered index", id: "", item_id: "wrong_item", output_index: 2 },
+      { name: "empty item and event IDs with registered index", id: "", item_id: "", output_index: 2 },
+    ]
+
+    fixtures.forEach((fixture) => {
+      fixture.events.forEach((event) => {
+        routings.forEach((routing) => {
+          it.effect(`${event.type} preserves content with ${routing.name}`, () =>
+            Effect.gen(function* () {
+              const item = { ...fixture.item, id: routing.id }
+              const response = yield* LLMClient.generate(request).pipe(
+                Effect.provide(
+                  fixedResponse(
+                    sseEvents(
+                      { type: "response.output_item.added", output_index: routing.output_index, item },
+                      { ...event, item_id: routing.item_id, output_index: routing.output_index },
+                      { type: "response.output_item.done", output_index: routing.output_index, item },
+                      { type: "response.completed", response: { id: "resp_1" } },
+                    ),
+                  ),
+                ),
+              )
+
+              const metadata = { openresponses: { itemId: routing.id } }
+              if (fixture.item.type === "function_call") {
+                expect(response.toolCalls).toEqual([
+                  expect.objectContaining({
+                    id: "call_1",
+                    name: "lookup",
+                    input: { query: "Preserved" },
+                    providerMetadata: metadata,
+                  }),
+                ])
+                return
+              }
+              if (fixture.item.type === "reasoning") {
+                expect(response.message.content).toEqual([
+                  {
+                    type: "reasoning",
+                    text: "Preserved",
+                    providerMetadata: {
+                      openresponses: { itemId: routing.id, reasoningEncryptedContent: "encrypted-state" },
+                    },
+                  },
+                ])
+                expect(response.events.filter(LLMEvent.is.reasoningEnd)).toHaveLength(1)
+                return
+              }
+              expect(response.message.content).toEqual([
+                { type: "text", text: "Preserved", providerMetadata: metadata },
+              ])
+              expect(response.events.filter(LLMEvent.is.textEnd)).toEqual([
+                expect.objectContaining({ id: routing.id, providerMetadata: metadata }),
+              ])
+            }),
+          )
+        })
+      })
+    })
+
+    routings.forEach((routing) => {
+      it.effect(`preserves reasoning summary boundaries and terminal metadata with ${routing.name}`, () =>
+        Effect.gen(function* () {
+          const address = { item_id: routing.item_id, output_index: routing.output_index }
+          const response = yield* LLMClient.generate(request).pipe(
+            Effect.provide(
+              fixedResponse(
+                sseEvents(
+                  {
+                    type: "response.output_item.added",
+                    output_index: routing.output_index,
+                    item: { type: "reasoning", id: routing.id },
+                  },
+                  { type: "response.reasoning_summary_part.added", ...address, summary_index: 0 },
+                  { type: "response.reasoning_summary_text.delta", ...address, summary_index: 0, delta: "First." },
+                  { type: "response.reasoning_summary_text.done", ...address, summary_index: 0, text: "First." },
+                  { type: "response.reasoning_summary_part.done", ...address, summary_index: 0 },
+                  { type: "response.reasoning_summary_part.added", ...address, summary_index: 1 },
+                  { type: "response.reasoning_summary_text.done", ...address, summary_index: 1, text: "Second." },
+                  { type: "response.reasoning_summary_part.done", ...address, summary_index: 1 },
+                  {
+                    type: "response.completed",
+                    response: { output: [{ type: "reasoning", id: routing.id, encrypted_content: "final-state" }] },
+                  },
+                ),
+              ),
+            ),
+          )
+
+          expect(response.message.content).toEqual([
+            {
+              type: "reasoning",
+              text: "First.",
+              providerMetadata: { openresponses: { itemId: routing.id } },
+            },
+            {
+              type: "reasoning",
+              text: "Second.",
+              providerMetadata: { openresponses: { itemId: routing.id, reasoningEncryptedContent: "final-state" } },
+            },
+          ])
+          expect(response.events.filter(LLMEvent.is.reasoningEnd)).toEqual([
+            expect.objectContaining({
+              id: `${routing.id}:0`,
+              providerMetadata: { openresponses: { itemId: routing.id } },
+            }),
+            expect.objectContaining({
+              id: `${routing.id}:1`,
+              providerMetadata: { openresponses: { itemId: routing.id, reasoningEncryptedContent: "final-state" } },
+            }),
+          ])
+        }),
+      )
+    })
+
+    it.effect("reconciles pending empty-ID function arguments from completed output", () =>
+      Effect.gen(function* () {
+        const item = { type: "function_call", id: "", call_id: "call_1", name: "lookup" }
+        const response = yield* LLMClient.generate(request).pipe(
+          Effect.provide(
+            fixedResponse(
+              sseEvents(
+                { type: "response.output_item.added", item },
+                { type: "response.function_call_arguments.delta", item_id: "", delta: '{"query":"partial' },
+                {
+                  type: "response.completed",
+                  response: { output: [{ ...item, arguments: '{"query":"complete"}' }] },
+                },
+              ),
+            ),
+          ),
+        )
+
+        expect(response.toolCalls).toEqual([
+          expect.objectContaining({
+            id: "call_1",
+            name: "lookup",
+            input: { query: "complete" },
+            providerMetadata: { openresponses: { itemId: "" } },
+          }),
+        ])
+      }),
+    )
+
+    it.effect("treats null output items as no-ops without disturbing registered items", () =>
+      Effect.gen(function* () {
+        const response = yield* LLMClient.generate(request).pipe(
+          Effect.provide(
+            fixedResponse(
+              sseEvents(
+                { type: "response.output_item.added", output_index: 0, item: null },
+                { type: "response.output_item.done", output_index: 0, item: null },
+                { type: "response.output_item.added", output_index: 0, item: { type: "message", id: "msg_1" } },
+                { type: "response.output_text.delta", output_index: 0, item_id: "wrong_item", delta: "Before " },
+                { type: "response.output_item.added", output_index: 0, item: null },
+                { type: "response.output_item.done", output_index: 0, item: null },
+                { type: "response.output_text.delta", output_index: 0, item_id: "wrong_item", delta: "after" },
+                { type: "response.output_item.done", output_index: 0, item: { type: "message", id: "msg_1" } },
+                { type: "response.completed", response: { id: "resp_1" } },
+              ),
+            ),
+          ),
+        )
+
+        expect(response.message.content).toEqual([
+          { type: "text", text: "Before after", providerMetadata: { openresponses: { itemId: "msg_1" } } },
+        ])
+        expect(response.events.map((event) => event.type)).toEqual([
+          "step-start",
+          "text-start",
+          "text-delta",
+          "text-delta",
+          "text-end",
+          "step-finish",
+          "finish",
+        ])
+      }),
+    )
+
+    it.effect("rejects missing, null, and non-string event IDs even with a registered output index", () =>
+      Effect.gen(function* () {
+        yield* Effect.forEach(
+          [
+            ...fixtures.flatMap((fixture) => fixture.events.map((event) => ({ item: fixture.item, event }))),
+            ...["response.reasoning_summary_part.added", "response.reasoning_summary_part.done"].map((type) => ({
+              item: { type: "reasoning" },
+              event: { type, summary_index: 0 },
+            })),
+          ],
+          (fixture) =>
+            Effect.forEach([undefined, null, 0, false, {}, []], (item_id) =>
+              Effect.gen(function* () {
+                const error = yield* LLMClient.generate(request).pipe(
+                  Effect.provide(
+                    fixedResponse(
+                      sseEvents(
+                        {
+                          type: "response.output_item.added",
+                          output_index: 0,
+                          item: { ...fixture.item, id: "item_1" },
+                        },
+                        { ...fixture.event, output_index: 0, item_id },
+                        { type: "response.completed", response: { id: "resp_1" } },
+                      ),
+                    ),
+                  ),
+                  Effect.flip,
+                )
+                expect(error.reason._tag).toBe("InvalidProviderOutput")
+              }),
+            ),
+        )
+      }),
+    )
+
+    it.effect("keeps malformed output item IDs invalid", () =>
+      Effect.gen(function* () {
+        yield* Effect.forEach(["response.output_item.added", "response.output_item.done"], (type) =>
+          Effect.forEach(fixtures, (fixture) =>
+            Effect.forEach(
+              fixture.item.type === "message" ? [undefined, null, 0, false, {}, []] : [null, 0, false, {}, []],
+              (id) =>
+                Effect.gen(function* () {
+                  const error = yield* LLMClient.generate(request).pipe(
+                    Effect.provide(
+                      fixedResponse(
+                        sseEvents(
+                          { type, item: { ...fixture.item, id } },
+                          { type: "response.completed", response: { id: "resp_1" } },
+                        ),
+                      ),
+                    ),
+                    Effect.flip,
+                  )
+                  expect(error.reason._tag).toBe("InvalidProviderOutput")
+                }),
+            ),
+          ),
+        )
+      }),
+    )
+  })
+
+  it.effect("streams function calls without optional item ids through the shared baseline", () =>
+    Effect.gen(function* () {
+      const model = configure({
+        apiKey: "test-key",
+        baseURL: "https://responses.example.test/v1",
+        provider: "example",
+      }).model("example-model")
+      const item = { type: "function_call", call_id: "call_1", name: "lookup", arguments: "" }
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Look it up." })).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { type: "response.output_item.added", output_index: 1, item },
+              {
+                type: "response.function_call_arguments.delta",
+                output_index: 1,
+                item_id: "opaque_item",
+                delta: '{"query":"shared"}',
+              },
+              {
+                type: "response.output_item.done",
+                output_index: 1,
+                item: { ...item, arguments: '{"query":"complete"}' },
+              },
+              { type: "response.completed", response: { id: "resp_1" } },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.events.filter(LLMEvent.is.toolCall)).toEqual([
+        expect.objectContaining({ id: "call_1", name: "lookup", input: { query: "complete" } }),
+      ])
+      expect(response.events.find(LLMEvent.is.toolCall)?.providerMetadata).toBeUndefined()
+    }),
+  )
+
  it.effect("finalizes pending function calls from completed response output", () =>
    Effect.gen(function* () {
      const model = configure({
@@ -136,6 +136,7 @@ describe("OpenAI Responses WebSocket recorded", () => {
      expect(channel.opens()).toBe(1)
      expect(channel.sent).toHaveLength(2)
      expect(channel.sent[1]).toMatchObject({
+        instructions: "Call get_weather once, then reply exactly: Paris is sunny.",
        previous_response_id: expect.any(String),
        input: [{ type: "function_call_output", call_id: call.id, output: expect.any(String) }],
      })
@@ -167,8 +168,8 @@ describe("OpenAI Responses WebSocket recorded", () => {
      expect(channel.opens()).toBe(2)
      expect(channel.sent[1]).not.toHaveProperty("previous_response_id")
      expect(channel.sent[1]).toMatchObject({
+        instructions: "Follow the user's exact reply instruction.",
        input: [
-          { role: "system", content: "Follow the user's exact reply instruction." },
          { role: "user", content: [{ type: "input_text", text: "Reply exactly: Alpha." }] },
          { role: "assistant", content: [{ type: "output_text", text: "Alpha." }] },
          { role: "user", content: [{ type: "input_text", text: "Reply exactly: Beta." }] },
@@ -204,8 +205,8 @@ describe("OpenAI Responses WebSocket recorded", () => {
      expect(channel.sent[1]).toHaveProperty("previous_response_id", expect.any(String))
      expect(channel.sent[2]).not.toHaveProperty("previous_response_id")
      expect(channel.sent[2]).toMatchObject({
+        instructions: "Follow the user's exact reply instruction.",
        input: [
-          { role: "system", content: "Follow the user's exact reply instruction." },
          { role: "user", content: [{ type: "input_text", text: "Reply exactly: Ready." }] },
          { role: "assistant", content: [{ type: "output_text", text: "Ready." }] },
          { role: "user", content: [{ type: "input_text", text: "Reply exactly: Recovered." }] },
@@ -112,10 +112,8 @@ describe("OpenAI Responses route", () => {

      expect(prepared.body).toEqual({
        model: "gpt-4.1-mini",
-        input: [
-          { role: "system", content: "You are concise." },
-          { role: "user", content: [{ type: "input_text", text: "Say hello." }] },
-        ],
+        input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
+        instructions: "You are concise.",
        store: false,
        include: ["reasoning.encrypted_content"],
        stream: true,
@@ -469,7 +467,7 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("continues a tool call with only the new tool output", () =>
+  it.effect("continues an item-id-less tool call with only the new tool output", () =>
    Effect.gen(function* () {
      const firstRequest = {
        type: "response.create",
@@ -485,7 +483,6 @@ describe("OpenAI Responses route", () => {
          type: "response.output_item.done",
          item: {
            type: "function_call",
-            id: "fc_1",
            status: "completed",
            call_id: "call_1",
            name: "weather",
@@ -1597,8 +1594,8 @@ describe("OpenAI Responses route", () => {
      )

      expect(prepared.body).toMatchObject({
+        instructions: "You are concise. Continue from the provided history.",
        input: [
-          { role: "system", content: "You are concise. Continue from the provided history." },
          {
            role: "user",
            content: [
@@ -2120,6 +2117,47 @@ describe("OpenAI Responses route", () => {
    }),
  )

+  it.effect("routes item-id-less function arguments by output index and prefers item completion", () =>
+    Effect.gen(function* () {
+      const item = { type: "function_call", call_id: "call_1", name: "lookup", arguments: "" }
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { type: "response.output_item.added", output_index: 2, item },
+              {
+                type: "response.function_call_arguments.delta",
+                output_index: 2,
+                item_id: "opaque_delta",
+                delta: '{"query":"streamed"}',
+              },
+              {
+                type: "response.function_call_arguments.done",
+                output_index: 2,
+                item_id: "opaque_done",
+                arguments: '{"query":"arguments-done"}',
+              },
+              {
+                type: "response.output_item.done",
+                output_index: 2,
+                item: { ...item, arguments: '{"query":"output-item-done"}' },
+              },
+              { type: "response.completed", response: { id: "resp_1" } },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.events.filter((event) => event.type === "tool-input-delta")).toMatchObject([
+        { id: "call_1", text: '{"query":"streamed"}' },
+      ])
+      expect(response.events.filter(LLMEvent.is.toolCall)).toEqual([
+        expect.objectContaining({ id: "call_1", name: "lookup", input: { query: "output-item-done" } }),
+      ])
+      expect(response.events.find(LLMEvent.is.toolCall)?.providerMetadata).toBeUndefined()
+    }),
+  )
+
  it.effect("routes reasoning summary events by output index", () =>
    Effect.gen(function* () {
      const response = yield* LLMClient.generate(request).pipe(
@@ -2191,6 +2229,35 @@ describe("OpenAI Responses route", () => {
    }),
  )

+  it.effect("accepts empty IDs for native reasoning text deltas", () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { type: "response.output_item.added", output_index: 1, item: { type: "reasoning", id: "" } },
+              { type: "response.reasoning_text.delta", output_index: 1, item_id: "", delta: "Raw" },
+              {
+                type: "response.output_item.done",
+                output_index: 1,
+                item: { type: "reasoning", id: "", encrypted_content: "state" },
+              },
+              { type: "response.completed", response: { id: "resp_1" } },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.message.content).toEqual([
+        {
+          type: "reasoning",
+          text: "Raw",
+          providerMetadata: { openai: { itemId: "", reasoningEncryptedContent: "state" } },
+        },
+      ])
+    }),
+  )
+
  it.effect("falls back to item ids when an output index was not registered", () =>
    Effect.gen(function* () {
      const response = yield* LLMClient.generate(request).pipe(
@@ -2298,13 +2365,25 @@ describe("OpenAI Responses route", () => {
  it.effect("rejects function argument events without the spec-required item id", () =>
    Effect.gen(function* () {
      const events = [
-        { type: "response.function_call_arguments.delta", delta: "{}" },
-        { type: "response.function_call_arguments.done", arguments: "{}" },
+        { type: "response.function_call_arguments.delta", output_index: 0, delta: "{}" },
+        { type: "response.function_call_arguments.done", output_index: 0, arguments: "{}" },
      ]

      for (const event of events) {
        const error = yield* LLMClient.generate(request).pipe(
-          Effect.provide(fixedResponse(sseEvents(event, { type: "response.completed", response: { id: "resp_1" } }))),
+          Effect.provide(
+            fixedResponse(
+              sseEvents(
+                {
+                  type: "response.output_item.added",
+                  output_index: 0,
+                  item: { type: "function_call", call_id: "call_1", name: "lookup", arguments: "" },
+                },
+                event,
+                { type: "response.completed", response: { id: "resp_1" } },
+              ),
+            ),
+          ),
          Effect.flip,
        )

@@ -3100,38 +3179,50 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("drops replayed item ids outside the server's grammar", () =>
+  it.effect("preserves provider-issued item ids and removes malformed ids without dropping items", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
          model,
          messages: [
            Message.assistant([
-              // Fails the message id prefix.
              {
                type: "text",
                text: "Hello",
                providerMetadata: { openai: { itemId: "history_1" } },
              },
-              // Oversized for the Responses item id limit.
              {
                type: "text",
                text: "World",
-                providerMetadata: { openai: { itemId: `m${"a".repeat(64)}` } },
+                providerMetadata: { openai: { itemId: `message_${"a".repeat(64)}` } },
              },
-              // Fails the reasoning id prefix, so the whole item is unreplayable
-              // statelessly and is skipped rather than sent malformed.
              {
                type: "reasoning",
                text: "Checked the diff.",
                providerMetadata: { openai: { itemId: "thinking_1", reasoningEncryptedContent: "encrypted-state" } },
              },
+              {
+                type: "reasoning",
+                text: "Missing suffix.",
+                providerMetadata: { openai: { itemId: "rs_", reasoningEncryptedContent: "another-state" } },
+              },
+              {
+                type: "reasoning",
+                text: "No prefix separator.",
+                providerMetadata: { openai: { itemId: "550e8400-e29b-41d4-a716-446655440000" } },
+              },
              ToolCallPart.make({
                id: "call_1",
                name: "lookup",
                input: { query: "weather" },
                providerMetadata: { openai: { itemId: "toolu_01A" } },
              }),
+              ToolCallPart.make({
+                id: "call_2",
+                name: "lookup",
+                input: { query: "news" },
+                providerMetadata: { openai: { itemId: "fc_" } },
+              }),
            ]),
          ],
        }),
@@ -3140,18 +3231,44 @@ describe("OpenAI Responses route", () => {
      expect(prepared.body.input).toEqual([
        {
          type: "message",
+          id: "history_1",
          role: "assistant",
-          content: [
-            { type: "output_text", text: "Hello" },
-            { type: "output_text", text: "World" },
-          ],
+          content: [{ type: "output_text", text: "Hello" }],
+        },
+        {
+          type: "message",
+          id: `message_${"a".repeat(64)}`,
+          role: "assistant",
+          content: [{ type: "output_text", text: "World" }],
+        },
+        {
+          type: "reasoning",
+          id: "thinking_1",
+          summary: [{ type: "summary_text", text: "Checked the diff." }],
+          encrypted_content: "encrypted-state",
+        },
+        {
+          type: "reasoning",
+          summary: [{ type: "summary_text", text: "Missing suffix." }],
+          encrypted_content: "another-state",
+        },
+        {
+          type: "reasoning",
+          summary: [{ type: "summary_text", text: "No prefix separator." }],
        },
        {
          type: "function_call",
+          id: "toolu_01A",
          call_id: "call_1",
          name: "lookup",
          arguments: '{"query":"weather"}',
        },
+        {
+          type: "function_call",
+          call_id: "call_2",
+          name: "lookup",
+          arguments: '{"query":"news"}',
+        },
      ])
    }),
  )
@@ -3457,6 +3574,43 @@ describe("OpenAI Responses route", () => {
    }),
  )

+  it.effect("finalizes and replays a completed function call without an optional item id", () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              {
+                type: "response.output_item.done",
+                item: { type: "function_call", call_id: "call_1", name: "lookup", arguments: '{"query":"weather"}' },
+              },
+              { type: "response.completed", response: { id: "resp_1" } },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.events.filter(LLMEvent.is.toolCall)).toEqual([
+        expect.objectContaining({ id: "call_1", name: "lookup", input: { query: "weather" } }),
+      ])
+      expect(response.events.find(LLMEvent.is.toolCall)?.providerMetadata).toBeUndefined()
+
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model,
+          messages: [
+            response.message,
+            Message.tool({ id: "call_1", name: "lookup", resultType: "json", result: { forecast: "sunny" } }),
+          ],
+        }),
+      )
+      expect(prepared.body.input).toEqual([
+        { type: "function_call", call_id: "call_1", name: "lookup", arguments: '{"query":"weather"}' },
+        { type: "function_call_output", call_id: "call_1", output: '{"forecast":"sunny"}' },
+      ])
+    }),
+  )
+
  it.effect("emits only missing function arguments from the arguments done event", () =>
    Effect.gen(function* () {
      const body = sseEvents(
@@ -3681,6 +3835,37 @@ describe("OpenAI Responses route", () => {
    }),
  )

+  it.effect("reconciles an item-id-less pending function call from completed response output", () =>
+    Effect.gen(function* () {
+      const item = { type: "function_call", call_id: "call_1", name: "lookup", arguments: "" }
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { type: "response.output_item.added", output_index: 0, item },
+              {
+                type: "response.function_call_arguments.delta",
+                output_index: 0,
+                item_id: "opaque_delta",
+                delta: '{"query":"partial',
+              },
+              {
+                type: "response.completed",
+                response: { id: "resp_1", output: [{ ...item, arguments: '{"query":"complete"}' }] },
+              },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.events.filter(LLMEvent.is.toolCall)).toEqual([
+        expect.objectContaining({ id: "call_1", name: "lookup", input: { query: "complete" } }),
+      ])
+      expect(response.events.find(LLMEvent.is.toolCall)?.providerMetadata).toBeUndefined()
+      expect(response.events.filter(LLMEvent.is.toolInputEnd)).toHaveLength(1)
+    }),
+  )
+
  it.effect("lets completed response output override arguments done", () =>
    Effect.gen(function* () {
      const body = sseEvents(
@@ -80,7 +80,9 @@ describe("Z.ai Images", () => {

  it.effect("sanitizes unpaired surrogates in outbound image requests", () =>
    Image.generate({
-      model: ZAI.configure({ apiKey: "test", http: { body: { metadata: { source: "default\uDC00" } } } }).image("model"),
+      model: ZAI.configure({ apiKey: "test", http: { body: { metadata: { source: "default\uDC00" } } } }).image(
+        "model",
+      ),
      prompt: "A red circle \uD800 on a white background \u{1F600}",
    }).pipe(
      Effect.provide(
@@ -20,6 +20,7 @@ type ScenarioInput =
      readonly name?: string
      readonly cassette?: string
      readonly tags?: ReadonlyArray<string>
+      readonly prompt?: string
      readonly maxTokens?: number
      readonly temperature?: number | false
      readonly timeout?: number
@@ -87,6 +88,7 @@ const runTarget = (target: TargetInput) => {
            yield* runGoldenScenario(input.id, {
              id: `recorded_${kebab(target.name).replaceAll("-", "_")}_${input.id.replaceAll("-", "_")}`,
              model: target.model,
+              prompt: input.prompt,
              maxTokens: input.maxTokens,
              temperature: input.temperature,
            })
@@ -164,6 +164,7 @@ export const expectGoldenWeatherToolLoop = (events: ReadonlyArray<LLMEvent>) =>
 export interface GoldenScenarioContext {
  readonly id: string
  readonly model: LanguageModel
+  readonly prompt?: string
  readonly maxTokens?: number
  readonly temperature?: number | false
 }
@@ -298,7 +299,7 @@ const runGeneratedConversation = (context: GoldenScenarioContext, steps: Readonl

 const runTextScenario = (context: GoldenScenarioContext) =>
  runGeneratedConversation(context, [
-    user("Reply exactly with: Hello!"),
+    user(context.prompt ?? "Reply exactly with: Hello!"),
    assistant.expectText(/^Hello!?$/, {
      system: "You are concise.",
      maxTokens: context.maxTokens ?? 40,
@@ -102,6 +102,38 @@ describe("AI.Usage", () => {
    expect(error.reason._tag).toBe("InvalidProviderOutput")
  })

+  test("sseFraming ignores retry directives without ending the stream", async () => {
+    const encoder = new TextEncoder()
+    const frames = await Effect.runPromise(
+      ProviderShared.sseFraming(
+        Stream.make(
+          encoder.encode("retry: 1000\n\n"),
+          encoder.encode('data: {"first":true}\n\n'),
+          encoder.encode("retry: 2000\n\n"),
+          encoder.encode('data: {"second":true}\n\n'),
+        ).pipe(Stream.rechunk(1)),
+      ).pipe(Stream.runCollect),
+    )
+
+    expect(Array.from(frames)).toEqual(['{"first":true}', '{"second":true}'])
+  })
+
+  test("sseFraming preserves event data around retry directives", async () => {
+    const encoder = new TextEncoder()
+    const frames = await Effect.runPromise(
+      ProviderShared.sseFraming(
+        Stream.make(
+          encoder.encode("event: update\ndata: first\n"),
+          encoder.encode("retry: 1000\n"),
+          encoder.encode("data: second\n\n"),
+        ).pipe(Stream.rechunk(1)),
+        new Set(["update"]),
+      ).pipe(Stream.runCollect),
+    )
+
+    expect(Array.from(frames)).toEqual(["first\nsecond"])
+  })
+
  test("visibleOutputTokens clamps reasoning > output to zero", () => {
    expect(new Usage({ outputTokens: 10, reasoningTokens: 4 }).visibleOutputTokens).toBe(6)
    expect(new Usage({ outputTokens: 10 }).visibleOutputTokens).toBe(10)
@@ -1,3 +1,5 @@
 src/assets/theme.css
 e2e/test-results
 e2e/playwright-report
+component-tests/test-results
+component-tests/playwright-report
@@ -0,0 +1,26 @@
+import { expect, story } from "../../storybook/playwright/story"
+
+// Moved from packages/app/e2e/regression/prompt-thinking-level.spec.ts
+story("shows the thinking level control while relevant", async ({ mount, page }) => {
+  const component = await mount("opencode-composer-flow--model-and-variant")
+  const composer = component.locator('[data-component="composer"]')
+  const input = composer.locator('[data-component="composer-editor"]')
+  const control = composer.getByRole("button", { name: "Choose model variant" })
+
+  await page.mouse.move(0, 0)
+  await page.evaluate(() => (document.activeElement as HTMLElement | null)?.blur())
+  await expect(control).toBeVisible()
+
+  await control.click()
+  const high = page.getByRole("menuitemradio", { name: "high" })
+  await expect(high).toBeVisible()
+  await page.mouse.move(0, 0)
+  await expect(control).toBeVisible()
+  await expect(high).toBeVisible()
+  await high.click()
+
+  await input.focus()
+  await expect(control).toBeVisible()
+  await input.blur()
+  await expect(control).toBeVisible()
+})
@@ -24,11 +24,20 @@ test("session settings use the remote server context", async ({ page }) => {
  await configureServers(page)

  await page.goto(`/server/${base64Encode(serverB)}/session/${sessionB.id}`)
-  await expect(page.getByRole("heading", { name: sessionB.title, exact: true })).toBeVisible()
+  const sessionHeading = page.getByRole("heading", { name: sessionB.title, exact: true, includeHidden: true })
+  await expect(sessionHeading).toBeVisible()
+  const activeTabs = page.locator('[data-titlebar-tab-slot][data-active="true"]')
+  await expect(activeTabs).toHaveCount(1)
  await page.keyboard.press("Control+,")

-  const dialog = page.locator(".settings-dialog")
-  const autoAccept = dialog.locator('[data-action="settings-auto-accept-permissions"]')
+  const settings = page.getByTestId("settings-screen")
+  await expect(settings).toBeVisible()
+  await expect(activeTabs).toHaveCount(0)
+  await expect(page.getByRole("dialog")).toHaveCount(0)
+  await expect(settings.getByRole("tablist")).toHaveCSS("width", "328px")
+  await expect(sessionHeading).toBeAttached()
+  await expect(sessionHeading).toBeHidden()
+  const autoAccept = settings.locator('[data-action="settings-auto-accept-permissions"]')
  const input = autoAccept.getByRole("switch")
  await expect(autoAccept).toBeVisible()
  await expect(input).toBeEnabled()
@@ -55,9 +64,55 @@ test("session settings use the remote server context", async ({ page }) => {
      },
    ])

-  await dialog.getByRole("tab", { name: "Models" }).click()
-  await expect(dialog.getByRole("switch", { name: "Server B Model" })).toBeEnabled()
-  await expect(dialog.getByRole("switch", { name: "Server A Model" })).toHaveCount(0)
+  await settings.getByRole("tab", { name: "Models" }).click()
+  await expect(settings.getByRole("switch", { name: "Server B Model" })).toBeEnabled()
+  await expect(settings.getByRole("switch", { name: "Server A Model" })).toHaveCount(0)
+  await settings.getByRole("button", { name: "Back to app" }).click()
+  await expect(settings).toBeHidden()
+  await expect(sessionHeading).toBeVisible()
+  await expect(activeTabs).toHaveCount(1)
+  await page.keyboard.press("Control+,")
+  await expect(settings).toBeVisible()
+  await page.locator(`[data-titlebar-tab-slot]:has(a[href$="/session/${sessionB.id}"])`).click()
+  await expect(settings).toBeHidden()
+  await expect(sessionHeading).toBeVisible()
+  await expect(activeTabs).toHaveCount(1)
+})
+
+test("new session works while draft settings are open", async ({ page }) => {
+  await installSseTransport(page, { server: serverA })
+  await installSseTransport(page, { server: serverB })
+  await mockServers(page, [])
+  await configureServers(page)
+
+  await page.goto(`/server/${base64Encode(serverB)}/session/${sessionB.id}`)
+  await expect(page.getByRole("heading", { name: sessionB.title, exact: true })).toBeVisible()
+  const newSession = page.locator('[data-slot="titlebar-v2"]').getByRole("button", { name: "New session", exact: true })
+  await newSession.click()
+  await expect(page).toHaveURL((url) => url.pathname === "/new-session" && !!url.searchParams.get("draftId"))
+  const draftURL = page.url()
+  const editor = page.locator('[data-component="composer-editor"][contenteditable="true"]')
+  await expect(editor).toBeEditable()
+  await editor.fill("Keep the original draft")
+  const tabs = page.locator("[data-titlebar-tab-slot]")
+  const activeTabs = page.locator('[data-titlebar-tab-slot][data-active="true"]')
+  await expect(tabs).toHaveCount(2)
+  await expect(activeTabs).toHaveCount(1)
+  await page.keyboard.press("Control+,")
+  const settings = page.getByTestId("settings-screen")
+  await expect(settings).toBeVisible()
+  await expect(activeTabs).toHaveCount(0)
+
+  await newSession.click()
+  await expect(page).toHaveURL(
+    (url) => url.pathname === "/new-session" && !!url.searchParams.get("draftId") && url.href !== draftURL,
+  )
+  await expect(settings).toBeHidden()
+  await expect(tabs).toHaveCount(3)
+  await expect(activeTabs).toHaveCount(1)
+  await expect(activeTabs.locator("a")).toHaveAttribute("href", `/new-session${new URL(page.url()).search}`)
+  await expect(editor).toBeEditable()
+  await expect(editor).toBeEmpty()
 })

 test("auto-accept responds for an unfocused server session", async ({ page }) => {
@@ -78,7 +133,7 @@ test("auto-accept responds for an unfocused server session", async ({ page }) =>
  await page.goto(`/server/${base64Encode(serverA)}/session/${sessionA.id}`)
  await expect(page.getByRole("heading", { name: sessionA.title, exact: true })).toBeVisible()
  await page.keyboard.press("Control+,")
-  const autoAccept = page.locator(".settings-dialog").locator('[data-action="settings-auto-accept-permissions"]')
+  const autoAccept = page.getByTestId("settings-screen").locator('[data-action="settings-auto-accept-permissions"]')
  await autoAccept.locator('[data-slot="switch-control"]').click()
  await expect(autoAccept.getByRole("switch")).toBeChecked()
  await expect
@@ -178,7 +233,7 @@ test("auto-accept sweeps again after a reconnect", async ({ page }) => {
  const first = await transport.waitForConnection()

  await page.keyboard.press("Control+,")
-  const autoAccept = page.locator(".settings-dialog").locator('[data-action="settings-auto-accept-permissions"]')
+  const autoAccept = page.getByTestId("settings-screen").locator('[data-action="settings-auto-accept-permissions"]')
  await autoAccept.locator('[data-slot="switch-control"]').click()
  await expect(autoAccept.getByRole("switch")).toBeChecked()
  await expect
@@ -234,7 +289,7 @@ test("auto-accept approves a request discovered by opening a session", async ({
  await expect(page.getByRole("heading", { name: sessionA.title, exact: true })).toBeVisible()

  await page.keyboard.press("Control+,")
-  const autoAccept = page.locator(".settings-dialog").locator('[data-action="settings-auto-accept-permissions"]')
+  const autoAccept = page.getByTestId("settings-screen").locator('[data-action="settings-auto-accept-permissions"]')
  await autoAccept.locator('[data-slot="switch-control"]').click()
  await expect(autoAccept.getByRole("switch")).toBeChecked()

@@ -376,9 +431,10 @@ async function mockServers(
      return json(route, { data: [], cursor: {} })
    if (sessions.some((session) => url.pathname === `/api/session/${session.id}/inbox`))
      return json(route, { data: [] })
-    if (url.pathname === "/api/location") return json(route, { directory })
+    if (url.pathname === "/api/location")
+      return json(route, { directory, project: { id: remote ? sessionB.projectID : "project-server-a" } })
    if (url.pathname === "/api/vcs")
-      return json(route, { location: { directory }, data: { branch: "main", defaultBranch: "main" } })
+      return json(route, { location: { directory }, data: { branch: { current: "main", default: "main" } } })
    if (url.pathname === "/api/pty/shells") return json(route, { location: { directory }, data: [] })
    return json(route, {})
  })
@@ -12,54 +12,6 @@ test.beforeEach(async ({ page }) => {
  await openReview(page)
 })

-test("opens the comment editor when code is clicked", async ({ page }) => {
-  const review = page.locator('[data-component="session-review"]')
-  const line = review.getByText("export const value = 'after'", { exact: true })
-  await expectAppVisible(line)
-  await line.click()
-
-  await expect(review.getByRole("textbox")).toBeVisible()
-  await expect(review.locator('[data-slot="line-comment-editor-label"]')).toHaveText("Commenting on line 2")
-})
-
-test("opens the comment editor when a line number is clicked", async ({ page }) => {
-  const review = page.locator('[data-component="session-review"]')
-  const lineNumber = review.locator('[data-column-number="1"]').last()
-  await expectAppVisible(lineNumber)
-  await lineNumber.click()
-
-  await expect(review.getByRole("textbox")).toBeVisible()
-  await expect(review.locator('[data-slot="line-comment-editor-label"]')).toHaveText("Commenting on line 1")
-})
-
-test("opens the comment editor for a line number range", async ({ page }) => {
-  const review = page.locator('[data-component="session-review"]')
-  const start = review.locator('[data-column-number="1"]').last()
-  const end = review.locator('[data-column-number="3"]').last()
-  await expectAppVisible(start)
-  await expectAppVisible(end)
-
-  await start.dragTo(end)
-
-  await expect(review.getByRole("textbox")).toBeVisible()
-  await expect(review.locator('[data-slot="line-comment-editor-label"]')).toHaveText("Commenting on lines 1-3")
-})
-
-test("shows a comment button when a diff line is hovered", async ({ page }) => {
-  const review = page.locator('[data-component="session-review"]')
-  const line = review.getByText("export const first = 1", { exact: true })
-  await expectAppVisible(line)
-
-  const comment = review.getByRole("button", { name: "Comment", exact: true, includeHidden: true })
-  await expect(comment).toHaveCount(1)
-  await line.dispatchEvent("pointermove", { pointerType: "mouse", bubbles: true, composed: true })
-  await expect(comment).toBeVisible()
-  await expect(comment).toHaveCSS("pointer-events", "auto")
-  await comment.dispatchEvent("click")
-  await expect(review.getByRole("textbox")).toBeVisible()
-  await expect(review.locator('[data-slot="line-comment-editor-label"]')).toHaveText("Commenting on line 1")
-})
-
 test("stages a submitted line comment in the prompt context", async ({ page }) => {
  page.on("request", (request) => {
    expect.soft(request.method(), `unexpected ${request.method()} ${new URL(request.url()).pathname}`).toBe("GET")
@@ -2,7 +2,7 @@ import { expect, test, type Route } from "@playwright/test"

 const server = "http://127.0.0.1:4097"

-test("nested server dialog keeps focus inside the top layer", async ({ page }) => {
+test("server dialog keeps focus above fullscreen settings", async ({ page }) => {
  await page.addInitScript((server) => {
    localStorage.setItem("opencode.global.dat:server", JSON.stringify({ list: [server] }))
  }, server)
@@ -24,8 +24,9 @@ test("nested server dialog keeps focus inside the top layer", async ({ page }) =

  await page.goto("/")
  await page.keyboard.press("Control+,")
-  const settings = page.locator(".settings-dialog")
+  const settings = page.getByTestId("settings-screen")
  await expect(settings).toBeVisible()
+  await expect(page.getByRole("dialog")).toHaveCount(0)
  await settings.getByRole("tab", { name: "Servers" }).click()
  await settings.getByRole("button", { name: "Add server" }).click()

@@ -41,6 +42,9 @@ test("nested server dialog keeps focus inside the top layer", async ({ page }) =
  await expect(password).toBeFocused()
  await password.fill("secret")
  await expect(password).toHaveValue("secret")
+  await page.keyboard.press("Escape")
+  await expect(editor).toBeHidden()
+  await expect(settings).toBeVisible()
 })

 function json(route: Route, body: unknown, status = 200) {
@@ -201,12 +201,15 @@ test("editing restores the existing draft and replaces only the original queue p
  await view.input.fill("my in-progress draft")
  await original.click()
  await expect(view.input).toHaveText("tighten the error copy")
+  await expect(view.input).toBeFocused()
  await view.input.press("Escape")
  await expect(view.input).toHaveText("my in-progress draft")

  await original.click()
  await expect(view.input).toHaveText("tighten the error copy")
+  await expect(view.input).toBeFocused()
  await view.input.fill("tighten the error copy and add a retry hint")
+  await expect(view.input).toHaveText("tighten the error copy and add a retry hint")
  await view.input.press("Enter")

  await expect(view.rows.locator('[data-action="session-queue-edit"]')).toHaveText([
@@ -1,16 +1,43 @@
 import { expect, test } from "@playwright/test"
-import { assistantMessage, setupTimeline, shell, userMessage } from "../performance/timeline-stability/fixture"
+import {
+  assistantMessage,
+  setupTimeline,
+  shell,
+  textPart,
+  userMessage,
+} from "../performance/timeline-stability/fixture"

 test("space activates a focused timeline button instead of scrolling", async ({ page }) => {
  const shellID = "prt_space_button_shell"
  await setupTimeline(page, {
-    messages: [userMessage(), assistantMessage([shell(shellID, "completed", lines(5))])],
+    messages: [
+      userMessage(),
+      assistantMessage([
+        shell(shellID, "completed", lines(5)),
+        textPart(
+          "prt_space_following",
+          "Following content leaves room to focus the command away from the bottom. ".repeat(40),
+        ),
+      ]),
+    ],
    settings: { shellToolPartsExpanded: false },
    reducedMotion: true,
+    seedHistory: true,
  })
  const scroller = page.locator(".scroll-view__viewport", { has: page.locator("[data-timeline-row]") })
-  const trigger = page.locator(`[data-timeline-part-id="${shellID}"] [data-slot="collapsible-trigger"]`)
+  const trigger = page.getByRole("button", { name: "Used Shell" })
+  await expect
+    .poll(() => scroller.evaluate((element) => element.scrollHeight - element.clientHeight))
+    .toBeGreaterThan(300)
+  await trigger.scrollIntoViewIfNeeded()
+  await scroller.hover()
+  await page.mouse.wheel(0, -100)
+  await expect
+    .poll(() => scroller.evaluate((element) => element.scrollHeight - element.clientHeight - element.scrollTop))
+    .toBeGreaterThan(50)
+  await expect(trigger).toBeInViewport()
  await trigger.focus()
+  await expect(trigger).toBeFocused()
  const before = await scroller.evaluate((element) => element.scrollTop)
  await trigger.press("Space")
  await expect(trigger).toHaveAttribute("aria-expanded", "true")
@@ -40,7 +40,7 @@ test.describe("regression: session timeline context group resize", () => {
    expect(samples.at(-1)?.expanded).toBe("true")
  })

-  test("paints a stable exploring to explored transition", async ({ page }) => {
+  test("keeps a grouped tool summary stable as its calls complete", async ({ page }) => {
    const events: OpenCodeEvent[] = []
    await page.setViewportSize({ width: 1400, height: 900 })
    await mockServer(page, events, [
@@ -55,13 +55,12 @@ test.describe("regression: session timeline context group resize", () => {
    await devtools.send("Emulation.setCPUThrottlingRate", { rate: 4 })
    const context = page.locator(`[data-timeline-part-ids="${contextIDs.join(",")}"]`).first()
    await expectAppVisible(context)
-    await expect(context.locator('[data-component="tool-status-title"]')).toHaveAttribute("aria-label", "Exploring")
+    await expect(context.getByRole("button")).toHaveAccessibleName("Used Read, Glob, Grep, List")

    const contextSelector = `[data-timeline-part-ids="${contextIDs.join(",")}"]`
    const regions = defineVisualRegions({
      status: {
-        selector: `${contextSelector} [data-component="tool-status-title"]`,
-        opacitySelectors: ['[data-slot="tool-status-active"]', '[data-slot="tool-status-done"]'],
+        selector: `${contextSelector} [data-component="context-tool-group-trigger"]`,
      },
      context: { selector: contextSelector, closest: '[data-timeline-row="AssistantPart"]' },
      following: {
@@ -89,7 +88,7 @@ test.describe("regression: session timeline context group resize", () => {
      await page.waitForTimeout(delay)
    }

-    await expect(context.locator('[data-component="tool-status-title"]')).toHaveAttribute("aria-label", "Explored")
+    await expect(context.getByRole("button")).toHaveAccessibleName("Used Read, Glob, Grep, List")
    await page.waitForTimeout(700)
    const trace = await stopVisualProbe<keyof typeof regions>(page)
    const labels = trace.samples
@@ -108,7 +107,7 @@ test.describe("regression: session timeline context group resize", () => {
      ]),
    )

-    expect(labels).toEqual(["Exploring", "Explored"])
+    expect(labels).toEqual(["Used Read, Glob, Grep, List"])
    expect(issues, JSON.stringify(trace.samples, null, 2)).toEqual([])
  })
 })
@@ -209,13 +208,7 @@ function turn(index: number, target: boolean, status: "running" | "completed" =
  const content: SessionMessageAssistant["content"] = target
    ? [
        toolContent(
-          contextTool(
-            contextIDs[0]!,
-            assistantID,
-            "read",
-            { path: "src/recent-a.ts", offset: 0, limit: 120 },
-            status,
-          ),
+          contextTool(contextIDs[0]!, assistantID, "read", { path: "src/recent-a.ts", offset: 0, limit: 120 }, status),
        ),
        toolContent(contextTool(contextIDs[1]!, assistantID, "glob", { path: directory, pattern: "**/*.ts" }, status)),
        toolContent(
@@ -8,21 +8,6 @@ import {
  userText,
 } from "../performance/timeline-stability/fixture"

-test("renders completed write content", async ({ page }) => {
-  const id = "prt_file_projection_write"
-  await setupTimeline(page, {
-    messages: [
-      userMessage(),
-      assistantMessage([
-        toolPart(id, "write", "completed", { path: "src/write.ts", content: "export const written = true\n" }),
-      ]),
-    ],
-    settings: { editToolPartsExpanded: true },
-  })
-
-  await expect(page.locator(`[data-timeline-part-id="${id}"] [data-component="write-content"]`)).toBeVisible()
-})
-
 test("renders a completed single-file patch", async ({ page }) => {
  const id = "prt_file_projection_single_patch"
  await setupTimeline(page, {
@@ -83,6 +68,7 @@ test("keeps an expanded file diff header at the same viewport position", async (
  const before = Array.from({ length: 80 }, (_, index) => `export const value${index} = ${index}\n`).join("")
  const after = before.replaceAll(" = ", " = compute(").replaceAll("\n", ")\n")
  await setupTimeline(page, {
+    settings: { editToolPartsExpanded: true },
    messages: [
      userMessage([userText("Preceding context ".repeat(120))]),
      assistantMessage([
@@ -1,53 +0,0 @@
-import { expect, test } from "@playwright/test"
-import { assistantMessage, setupTimeline, toolPart, userMessage } from "../performance/timeline-stability/fixture"
-import { createTwoFilesPatch } from "diff"
-
-test("keeps patch file disclosures independent", async ({ page }) => {
-  const patchID = "prt_nested_patch"
-  const files = [patchFile("src/a.ts", "modified"), patchFile("src/b.ts", "added"), patchFile("src/old.ts", "deleted")]
-  await setupTimeline(page, {
-    messages: [
-      userMessage(),
-      assistantMessage([
-        toolPart(
-          patchID,
-          "patch",
-          "completed",
-          { patchText: "Update three files" },
-          { metadata: { files } },
-        ),
-      ]),
-    ],
-    settings: { editToolPartsExpanded: true },
-  })
-  const wrapper = page.locator(`[data-timeline-part-id="${patchID}"]`)
-  const modified = wrapper.locator('[data-scope="apply-patch"] [data-type="update"]')
-  const deleted = wrapper.locator('[data-scope="apply-patch"] [data-type="delete"]')
-  await expect(wrapper.locator('[data-scope="apply-patch"] [aria-expanded="false"]')).toHaveCount(3)
-  await deleted.getByRole("button").click()
-  await expect(deleted.getByRole("button")).toHaveAttribute("aria-expanded", "true")
-  await expect(modified.getByRole("button")).toHaveAttribute("aria-expanded", "false")
-  await modified.getByRole("button").click()
-  await expect(modified.getByRole("button")).toHaveAttribute("aria-expanded", "true")
-  await deleted.getByRole("button").click()
-  await expect(deleted.getByRole("button")).toHaveAttribute("aria-expanded", "false")
-  await expect(modified.getByRole("button")).toHaveAttribute("aria-expanded", "true")
-})
-
-function patchFile(file: string, status: "added" | "modified" | "deleted") {
-  const before = status === "added" ? "" : source(false)
-  const after = status === "deleted" ? "" : source(true)
-  return {
-    file,
-    status,
-    patch: createTwoFilesPatch(`a/${file}`, `b/${file}`, before, after),
-    additions: status === "deleted" ? 0 : 4,
-    deletions: status === "added" ? 0 : 3,
-  }
-}
-
-function source(changed: boolean) {
-  return Array.from({ length: 12 }, (_, index) => `export const value${index} = ${changed ? index + 1 : index}\n`).join(
-    "",
-  )
-}
@@ -26,7 +26,9 @@ for (const expanded of [false, true]) {
      messages: [userMessage(), assistantMessage([shell(id, "completed", lines(3))])],
      settings: { shellToolPartsExpanded: expanded },
    })
-    const trigger = page.locator(`[data-timeline-part-id="${id}"] [data-slot="collapsible-trigger"]`)
+    const trigger = expanded
+      ? page.locator(`[data-timeline-part-id="${id}"] [data-slot="collapsible-trigger"]`)
+      : page.getByRole("button", { name: "Used Shell" })
    await expect(trigger).toHaveAttribute("aria-expanded", String(expanded))
    await trigger.click()
    await expect(trigger).toHaveAttribute("aria-expanded", String(!expanded))
@@ -120,6 +122,7 @@ test("transitions thinking and hidden reasoning through busy to idle", async ({
  await expect(page.locator('[data-timeline-row="Thinking"]')).toBeVisible()
  await expect(page.getByText("Inspecting stability", { exact: true })).toBeVisible()
  await expect(page.locator(`[data-timeline-part-id="${reasoningID}"]`)).toHaveCount(0)
+  await expect(page.locator(`[data-timeline-part-id="${renderedPartID(reasoningID)}"]`)).toHaveCount(0)
  await timeline.send(partUpdated(shell("prt_reasoning_shell", "running")), 160)
  await expect(page.locator('[data-timeline-row="Thinking"]')).toBeVisible()
  await timeline.send(partUpdated(shell("prt_reasoning_shell", "completed", "done")), 180)
@@ -127,6 +130,7 @@ test("transitions thinking and hidden reasoning through busy to idle", async ({
  await timeline.send(status("idle"), 300)
  await expect(page.locator('[data-timeline-row="Thinking"]')).toHaveCount(0)
  await expect(page.locator(`[data-timeline-part-id="${reasoningID}"]`)).toHaveCount(0)
+  await expect(page.locator(`[data-timeline-part-id="${renderedPartID(reasoningID)}"]`)).toHaveCount(0)
 })

 test("moves busy through retry and recovery to final idle content", async ({ page }) => {
@@ -1,12 +1,9 @@
 import { expect, test } from "@playwright/test"
 import { assistantMessage, setupTimeline, toolPart, userMessage } from "../performance/timeline-stability/fixture"

-for (const profile of [
-  { locale: "de", label: "Erkundung abgeschlossen" },
-  { locale: "ar", label: "تم الاستكشاف" },
-] as const) {
-  test(`projects translated context status in ${profile.locale}`, async ({ page }) => {
-    const ids = [`prt_locale_${profile.locale}_01_read`, `prt_locale_${profile.locale}_02_glob`]
+for (const locale of ["de", "ar"] as const) {
+  test(`projects localized tool names with an English fallback in ${locale}`, async ({ page }) => {
+    const ids = [`prt_locale_${locale}_01_read`, `prt_locale_${locale}_02_glob`]
    await setupTimeline(page, {
      messages: [
        userMessage(),
@@ -15,11 +12,12 @@ for (const profile of [
          toolPart(ids[1]!, "glob", "completed", { path: ".", pattern: "**/*.ts" }),
        ]),
      ],
-      locale: profile.locale,
+      locale,
    })

    const group = page.locator(`[data-timeline-part-ids="${ids.join(",")}"]`)
-    await expect(group.locator('[data-component="tool-status-title"]')).toHaveAttribute("aria-label", profile.label)
-    await expect(page.locator("html")).toHaveAttribute("lang", profile.locale)
+    await expect(group.getByRole("button")).toHaveAccessibleName(/^Used /)
+    await expect(group.locator('[data-component="tag"]')).toHaveText("2")
+    await expect(page.locator("html")).toHaveAttribute("lang", locale)
  })
 }
@@ -122,6 +122,7 @@ test("updates running compactions to failed and cancelled boundaries", async ({

  await timeline.send(compactionStarted({ sessionID, reason: "auto", recent: "" }))
  await timeline.send(compactionDelta({ sessionID, text: "Partial summary that should be discarded." }))
+  await expect(page.getByText("Partial summary that should be discarded.", { exact: true })).toBeVisible()
  await timeline.send(
    compactionFailed({
      sessionID,
@@ -140,6 +141,9 @@ test("updates running compactions to failed and cancelled boundaries", async ({
  await expect(failed).not.toContainText("Partial summary that should be discarded.")

  await timeline.send(compactionStarted({ sessionID, reason: "manual", recent: "" }))
+  await expect(compactions).toHaveCount(2)
+  await timeline.send(compactionDelta({ sessionID, text: "Summary before cancellation." }))
+  await expect(page.getByText("Summary before cancellation.", { exact: true })).toBeVisible()
  await timeline.send(
    compactionFailed({
      sessionID,
@@ -152,88 +156,7 @@ test("updates running compactions to failed and cancelled boundaries", async ({
  const cancelled = compactions.filter({ hasNotText: "The provider rejected the summary." })
  await expect(cancelled.getByText("Session compacted", { exact: true })).toBeVisible()
  await expect(cancelled).not.toContainText("Cancellation detail should stay hidden.")
-})
-
-test("shows a delegating row while subagent input streams", async ({ page }) => {
-  await setupTimeline(page, {
-    sessionMessages: [
-      user,
-      {
-        ...assistant(false),
-        content: [
-          {
-            type: "tool",
-            id: "call_subagent",
-            name: "subagent",
-            state: { status: "streaming", input: "" },
-            time: { created: 2 },
-          },
-        ],
-      },
-    ],
-  })
-
-  const delegating = page.locator('[data-component="task-tool-delegating"]')
-  await expect(delegating).toBeVisible()
-  const shimmer = delegating.locator('[data-component="text-shimmer"]')
-  await expect(shimmer).toHaveAttribute("aria-label", "Delegating agent...")
-  await expect(shimmer).toHaveCSS("line-height", "16px")
-  const icon = delegating.locator('[data-slot="icon-svg"]')
-  await expect(icon.locator('use[href="#opencode-v2-icon-subagent"]')).toBeVisible()
-  await expect(icon).toHaveCSS("color", "rgb(174, 174, 174)")
-  await expect(page.locator('[data-component="task-tool-card"]')).toHaveCount(0)
-  await expect(page.locator('[data-timeline-row="Thinking"]')).toHaveCount(0)
-})
-
-test("renders the moved location notice in its compact timeline style", async ({ page }) => {
-  const directory = `/Users/usrnk1/Developer/opencode/${"nested-directory/".repeat(24)}session`
-  await page.setViewportSize({ width: 480, height: 720 })
-  await setupTimeline(page, {
-    sessionMessages: [
-      user,
-      {
-        id: "msg_location",
-        type: "location-switched",
-        location: { directory },
-        time: { created: 2 },
-      },
-    ],
-  })
-
-  const notice = page.locator('[data-slot="session-timeline-notice"][data-type="location-switched"]')
-  const label = notice.locator('[data-slot="session-timeline-notice-label"]')
-  const value = notice.locator('[data-slot="session-timeline-notice-value"]')
-  const tooltipTrigger = notice.locator('[data-component="tooltip-v2-trigger"]')
-
-  await expect(label).toHaveText("Moved to")
-  await expect(value).toHaveText(directory)
-  await expect(notice).not.toContainText("·")
-  await expect(notice.locator("svg")).toHaveCount(0)
-  await expect(notice).toHaveCSS("height", "28px")
-  await expect(notice).toHaveCSS("gap", "8px")
-  await expect(notice).toHaveCSS("padding-top", "4px")
-  await expect(notice).toHaveCSS("padding-bottom", "4px")
-  await expect(label).toHaveCSS("font-size", "13px")
-  await expect(label).toHaveCSS("font-weight", "530")
-  await expect(label).toHaveCSS("line-height", "16px")
-  await expect(label).toHaveCSS("color", "rgb(128, 128, 128)")
-  await expect(value).toHaveCSS("font-size", "13px")
-  await expect(value).toHaveCSS("font-weight", "440")
-  await expect(value).toHaveCSS("line-height", "16px")
-  await expect(value).toHaveCSS("color", "rgb(128, 128, 128)")
-  await expect(value).toHaveCSS("text-overflow", "ellipsis")
-  await expect(value).toHaveCSS("white-space", "nowrap")
-  await expect(value).toHaveAttribute("dir", "ltr")
-  await expect.poll(() => value.evaluate((element) => element.scrollWidth > element.clientWidth)).toBe(true)
-
-  const tooltip = page.getByText("Session working directory changed", { exact: true })
-  await label.hover()
-  await expect(tooltip).toBeVisible()
-  await page.mouse.move(0, 0)
-  await expect(tooltip).toBeHidden()
-  await tooltipTrigger.focus()
-  await expect(tooltipTrigger).toBeFocused()
-  await expect(tooltip).toBeVisible()
+  await expect(cancelled).not.toContainText("Summary before cancellation.")
 })

 test("moves blocking work to the background with Ctrl+B", async ({ page }) => {
@@ -271,11 +194,6 @@ test("moves blocking work to the background with Ctrl+B", async ({ page }) => {
  await request
 })

-test("waits for completion before labeling requested background work", async ({ page }) => {
-  await setupTimeline(page, { sessionMessages: [user, assistant(false, true, undefined, true)] })
-  await expect(page.locator('[data-component="task-tool-card"]')).not.toContainText("(background)")
-})
-
 test("navigates from a running subagent card and hides background controls in the child", async ({ page }) => {
  const childID = "ses_running_child"
  await setupTimeline(page, {
@@ -7,86 +7,14 @@ import {
  toolPart,
  userMessage,
  userText,
-  type PartSeed,
 } from "../performance/timeline-stability/fixture"

 test.describe("session timeline projection", () => {
-  test("renders every admitted tool family and hides timeline-only exclusions", async ({ page }) => {
-    const parts = [
-      toolPart("prt_01_read", "read", "completed", { path: "src/a.ts" }),
-      toolPart("prt_02_glob", "glob", "completed", { path: ".", pattern: "**/*.ts" }),
-      toolPart("prt_03_grep", "grep", "completed", { path: ".", pattern: "value" }),
-      toolPart("prt_04_list", "list", "completed", { path: "src" }),
-      toolPart("prt_webfetch", "webfetch", "completed", { url: "https://example.com" }),
-      toolPart(
-        "prt_websearch",
-        "websearch",
-        "completed",
-        { query: "timeline stability" },
-        { output: "https://example.com/result" },
-      ),
-      toolPart("prt_task", "subagent", "completed", {
-        description: "Inspect timeline",
-        agent: "explore",
-        prompt: "Inspect the timeline implementation.",
-      }),
-      toolPart(
-        "prt_bash",
-        "shell",
-        "completed",
-        { command: "printf stable" },
-        { output: "stable", title: "printf stable" },
-      ),
-      editPart("prt_edit"),
-      toolPart("prt_write", "write", "completed", { path: "src/new.ts", content: "export const stable = true\n" }),
-      patchPart("prt_patch"),
-      toolPart("prt_todo", "todowrite", "completed", { todos: [{ content: "Hidden", status: "pending" }] }),
-      toolPart(
-        "prt_question",
-        "question",
-        "completed",
-        { questions: [{ question: "Keep stable?", header: "Stability", options: [] }] },
-        { metadata: { answers: [["Yes"]] } },
-      ),
-      toolPart("prt_skill", "skill", "completed", { name: "stability" }),
-      toolPart("prt_custom", "custom_mcp_tool", "completed", { target: "timeline", count: 2 }),
-    ]
-    await setupTimeline(page, { messages: [userMessage(), assistantMessage(parts)] })
-
-    await expect(
-      page.locator('[data-timeline-part-ids="prt_01_read,prt_02_glob,prt_03_grep,prt_04_list"]'),
-    ).toBeVisible()
-    for (const id of [
-      "prt_webfetch",
-      "prt_websearch",
-      "prt_task",
-      "prt_bash",
-      "prt_edit",
-      "prt_write",
-      "prt_patch",
-      "prt_question",
-      "prt_skill",
-      "prt_custom",
-    ]) {
-      await expect(page.locator(`[data-timeline-part-id="${id}"]`).first(), id).toBeVisible()
-    }
-    const patch = page.locator('[data-timeline-part-id="prt_patch"]')
-    await expect(patch.getByText("1 file", { exact: true })).toBeVisible()
-    await expect(patch.getByRole("button", { name: "Patch 1 file", exact: true })).toHaveCount(0)
-    await expect(patch.getByRole("button")).toHaveCount(1)
-    await expect(patch.locator('[data-scope="apply-patch"] button[aria-expanded="false"]')).toHaveCount(1)
-    await expect(patch.locator('[data-slot="message-part-title-filename"]')).toHaveCount(0)
-    await expect(patch.locator('[data-slot="message-part-actions"]')).toHaveCount(0)
-    const edit = page.locator('[data-timeline-part-id="prt_edit"]')
-    await expect(edit.locator('[data-component="apply-patch-tool"]')).toBeVisible()
-    await expect(edit.locator('[data-slot="basic-tool-tool-title"]')).toContainText("Edit")
-    await expect(page.locator('[data-timeline-part-id="prt_todo"]')).toHaveCount(0)
-  })
-
  test("combines adjacent patch calls and repeated files into one group", async ({ page }) => {
    const first = "prt_patch_first"
    const second = "prt_patch_second"
    const timeline = await setupTimeline(page, {
+      settings: { editToolPartsExpanded: true },
      messages: [
        userMessage(),
        assistantMessage([
@@ -153,43 +81,6 @@ test.describe("session timeline projection", () => {
    await expect(page.locator(`[data-timeline-part-id="${first}"], [data-timeline-part-id="${second}"]`)).toHaveCount(0)
  })

-  test("combines adjacent edit calls and repeated files into one group", async ({ page }) => {
-    const first = "prt_edit_first"
-    const second = "prt_edit_second"
-    await setupTimeline(page, {
-      messages: [
-        userMessage(),
-        assistantMessage([
-          toolPart(
-            first,
-            "edit",
-            "completed",
-            { path: "src/first.ts", oldString: "one", newString: "two" },
-            {
-              metadata: { files: [patchFile("src/first.ts", "modified")] },
-            },
-          ),
-          toolPart(
-            second,
-            "edit",
-            "completed",
-            { path: "src/first.ts", oldString: "two", newString: "three" },
-            {
-              metadata: { files: [patchFile("src/first.ts", "modified")] },
-            },
-          ),
-        ]),
-      ],
-      settings: { editToolPartsExpanded: true },
-    })
-
-    const group = page.locator(`[data-timeline-part-ids="${first},${second}"]`)
-    await expect(group.locator('[data-slot="basic-tool-tool-title"]')).toContainText("Edit")
-    await expect(group.getByText("1 file", { exact: true })).toBeVisible()
-    await expect(group.locator('[data-slot="apply-patch-filename"]')).toHaveText(["first.ts"])
-    await expect(group.locator('[data-scope="apply-patch"] button')).toHaveAttribute("aria-expanded", "true")
-  })
-
  test("projects gaps, dividers, assistant parts, and errors together", async ({ page }) => {
    const firstUser = userMessage(
      [
@@ -231,25 +122,6 @@ test.describe("session timeline projection", () => {
    await expect(page.locator('[data-timeline-row="TurnGap"]')).toBeVisible()
  })

-  test("renders interruption independently when the turn is not compacted", async ({ page }) => {
-    const user = userMessage()
-    const before = assistantMessage([{ id: "prt_before", type: "text", text: "Before" }], {
-      id: "msg_1001_before",
-      error: { type: "MessageAbortedError", message: "Stopped" },
-    })
-    const after = assistantMessage([{ id: "prt_after", type: "text", text: "After" }], {
-      id: "msg_1002_after",
-      created: 1700000003000,
-    })
-    await setupTimeline(page, { messages: [user, before, after] })
-
-    await expect(page.getByText("Interrupted", { exact: true })).toBeVisible()
-    const rows = await page
-      .locator('[data-timeline-row="AssistantPart"], [data-timeline-row="TurnDivider"]')
-      .evaluateAll((elements) => elements.map((element) => element.getAttribute("data-timeline-row")))
-    expect(rows).toEqual(["AssistantPart", "TurnDivider", "AssistantPart"])
-  })
-
  test("renders aliased and long custom model notices", async ({ page }) => {
    const shortName = "GPT-5.4 nano"
    const longName = "Company Gateway Extra Long Context Model for Narrow Timeline Layouts"
@@ -286,77 +158,8 @@ test.describe("session timeline projection", () => {
    await expect(longNotice.locator("[title]")).toHaveAttribute("title", `Switched to ${longName}`)
    await expect.poll(() => longNotice.evaluate((element) => element.scrollWidth <= element.clientWidth)).toBe(true)
  })
-
-  test("renders user image, file attachment, file reference, and agent reference", async ({ page }) => {
-    const text = "Use @explore with @src/a.ts and inspect the attachments"
-    const parts: PartSeed<"user">[] = [
-      userText(text, { id: "prt_user_rich" }),
-      {
-        id: "prt_user_image",
-        type: "file",
-        mime: "image/png",
-        filename: "pixel.png",
-        url: "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
-      },
-      {
-        id: "prt_user_attachment",
-        type: "file",
-        mime: "application/json",
-        filename: "tsconfig.json",
-        url: "data:application/json;base64,e30=",
-      },
-      {
-        id: "prt_user_reference",
-        type: "file",
-        mime: "text/plain",
-        filename: "a.ts",
-        url: "src/a.ts",
-        source: { type: "file", path: "src/a.ts", text: { value: "@src/a.ts", start: 18, end: 27 } },
-      },
-      {
-        id: "prt_user_agent",
-        type: "agent",
-        name: "explore",
-        source: { value: "@explore", start: 4, end: 12 },
-      },
-    ]
-    await setupTimeline(page, { messages: [userMessage(parts), assistantMessage()] })
-
-    await expect(page.getByAltText("pixel.png")).toBeVisible()
-    await expect(page.getByText("tsconfig.json")).toBeVisible()
-    await expect(page.getByText("@src/a.ts", { exact: true })).toBeVisible()
-    await expect(page.getByText("@explore", { exact: true })).toBeVisible()
-  })
 })

-function editPart(id: string) {
-  return toolPart(
-    id,
-    "edit",
-    "completed",
-    { path: "src/a.ts", oldString: "export const value = 1", newString: "export const value = 2" },
-    {
-      metadata: {
-        files: [patchFile("src/a.ts", "modified")],
-      },
-    },
-  )
-}
-
-function patchPart(id: string) {
-  return toolPart(
-    id,
-    "patch",
-    "completed",
-    { patchText: "Update the projected files" },
-    {
-      metadata: {
-        files: [patchFile("src/a.ts", "modified")],
-      },
-    },
-  )
-}
-
 function patchFile(file: string, status: "added" | "modified" | "deleted") {
  return {
    file,
@@ -7,29 +7,12 @@ import {
  renderedPartID,
  setupTimeline,
  shell,
+  toolPart,
  status,
  textPart,
-  toolPart,
  userMessage,
 } from "../performance/timeline-stability/fixture"

-test("groups singleton and separated context operations at correct boundaries", async ({ page }) => {
-  const parts = [
-    toolPart("prt_boundary_01_read", "read", "completed", { path: "src/a.ts" }),
-    textPart("prt_boundary_02_text", "Boundary text"),
-    toolPart("prt_boundary_03_glob", "glob", "completed", { path: ".", pattern: "**/*.ts" }),
-    toolPart("prt_boundary_04_grep", "grep", "completed", { path: ".", pattern: "stable" }),
-    shell("prt_boundary_05_shell", "completed", "done"),
-    toolPart("prt_boundary_06_list", "list", "completed", { path: "src" }),
-  ]
-  await setupTimeline(page, { messages: [userMessage(), assistantMessage(parts)] })
-
-  await expect(page.locator('[data-timeline-part-ids="prt_boundary_01_read"]')).toBeVisible()
-  await expect(page.locator('[data-timeline-part-ids="prt_boundary_03_glob,prt_boundary_04_grep"]')).toBeVisible()
-  await expect(page.locator('[data-timeline-part-ids="prt_boundary_06_list"]')).toBeVisible()
-  await expect(page.locator('[data-timeline-row="AssistantPart"]')).toHaveCount(5)
-})
-
 test("reducer-hardening: converges when idle arrives before final part and message completion", async ({ page }) => {
  const textID = "prt_event_order_text"
  const assistant = assistantMessage([textPart(textID, "Partial")], { completed: false })
@@ -44,3 +27,100 @@ test("reducer-hardening: converges when idle arrives before final part and messa
    "Final after early idle",
  )
 })
+
+test("expands a mixed collapsed tool stack without expanding its individual calls", async ({ page }) => {
+  const parts = [
+    shell("prt_stack_shell_1", "completed", "first"),
+    toolPart("prt_stack_explore", "subagent", "completed", {
+      agent: "explore",
+      description: "Inspect the project",
+      prompt: "Explore the project",
+    }),
+    toolPart("prt_stack_patch", "patch", "completed", { patchText: "Update src/value.ts" }),
+    shell("prt_stack_shell_2", "completed", "second"),
+  ]
+  await setupTimeline(page, { messages: [userMessage(), assistantMessage(parts)] })
+
+  const group = page.locator(
+    '[data-timeline-part-ids="prt_stack_shell_1,prt_stack_explore,prt_stack_patch,prt_stack_shell_2"]',
+  )
+  const summary = group.getByRole("button", { name: "Used Shell, Explore, Patch" })
+  await expect(summary).toHaveAttribute("aria-expanded", "false")
+  await expect(summary).toHaveCSS("height", "28px")
+  await expect(group.locator('[data-component="tag"]')).toHaveText("4")
+  await summary.click()
+  await expect(summary).toHaveAttribute("aria-expanded", "true")
+  await expect(group.locator('[data-slot="context-tool-group-item"]')).toHaveCount(4)
+  await expect(group.locator('[data-timeline-part-id="prt_stack_shell_1"]')).toBeVisible()
+  await expect(group.locator('[data-timeline-part-id="prt_stack_patch"]')).toBeVisible()
+  await expect(group.locator('[data-component="context-tool-group-list"]')).toHaveCSS("row-gap", "8px")
+  const content = group.locator(':scope > [data-component="collapsible"] > [data-slot="collapsible-content"]')
+  await expect(content).toHaveCSS("margin-left", "0px")
+  await expect(content).toHaveCSS("padding-left", "12px")
+  await expect.poll(() => content.evaluate((element) => getComputedStyle(element, "::before").content)).toBe("none")
+})
+
+test("leaves tools expanded by settings outside the collapsed stack", async ({ page }) => {
+  const parts = [
+    shell("prt_expanded_shell", "completed", "expanded"),
+    toolPart("prt_collapsed_patch", "patch", "completed", { patchText: "Update src/value.ts" }),
+    toolPart("prt_collapsed_read", "read", "completed", { path: "src/value.ts" }),
+  ]
+  await setupTimeline(page, {
+    messages: [userMessage(), assistantMessage(parts)],
+    settings: { shellToolPartsExpanded: true },
+  })
+
+  await expect(page.locator('[data-timeline-part-id="prt_expanded_shell"]')).toBeVisible()
+  const group = page.locator('[data-timeline-part-ids="prt_collapsed_patch,prt_collapsed_read"]')
+  await expect(group.getByRole("button", { name: "Used Patch, Read" })).toBeVisible()
+  await expect(group.locator('[data-component="tag"]')).toHaveText("2")
+  await expect(page.locator('[data-timeline-spacing="tool"]')).toHaveCSS("padding-top", "8px")
+})
+
+test("keeps failed search calls and their error cards inside the collapsed stack", async ({ page }) => {
+  const parts = [
+    toolPart(
+      "prt_error_glob",
+      "glob",
+      "error",
+      { path: "C:/Users", pattern: "*.ts" },
+      {
+        error: "Invalid tool input",
+      },
+    ),
+    toolPart(
+      "prt_error_grep",
+      "grep",
+      "error",
+      { path: "C:/Users", pattern: "value" },
+      {
+        error: "Search timed out after 30 seconds",
+      },
+    ),
+  ]
+  await setupTimeline(page, { messages: [userMessage(), assistantMessage(parts)] })
+
+  const group = page.locator('[data-timeline-part-ids="prt_error_glob,prt_error_grep"]')
+  const summary = group.getByRole("button", { name: "Used Glob, Grep" })
+  await expect(group.locator('[data-component="tag"]')).toHaveText("2")
+  await summary.click()
+  await expect(group.locator('[data-kind="tool-error-card"]')).toHaveCount(2)
+  const glob = group.locator('[data-timeline-part-id="prt_error_glob"]')
+  await expect(glob).toContainText("Invalid tool input")
+  await expect(glob.locator('[data-component="tool-error-card-icon"]')).toBeVisible()
+  await expect(glob.locator('[data-component="tool-error-card-icon"] use')).toHaveAttribute(
+    "href",
+    "#opencode-v2-icon-circle-exclamation",
+  )
+  await expect
+    .poll(() =>
+      glob
+        .locator('[data-kind="tool-error-card"]')
+        .evaluate((element) => getComputedStyle(element, "::before").display),
+    )
+    .toBe("none")
+  await expect(group.locator('[data-timeline-part-id="prt_error_grep"]')).toContainText(
+    "Search timed out after 30 seconds",
+  )
+})
@@ -7,32 +7,11 @@ import {
  userMessage,
 } from "../performance/timeline-stability/fixture"

-test("renders every tool error outcome without leaking hidden tools", async ({ page }) => {
-  const ordinary = ["shell", "edit", "write", "patch", "webfetch", "websearch", "subagent", "skill", "mcp_probe"]
-  const parts = ordinary.map((tool, index) =>
-    toolPart(`prt_error_${index}`, tool, "error", errorInput(tool), { error: `${tool} failed visibly` }),
-  )
-  parts.push(
-    toolPart("prt_question_dismissed", "question", "error", questionInput(), {
-      error: "The user dismissed this question",
-    }),
-    toolPart("prt_question_error", "question", "error", questionInput(), { error: "Question transport failed" }),
-    toolPart("prt_todo_error", "todowrite", "error", { todos: [] }, { error: "Hidden todo failure" }),
-  )
-  await setupTimeline(page, { messages: [userMessage(), assistantMessage(parts)] })
-
-  await expect(page.locator('[data-kind="tool-error-card"]')).toHaveCount(ordinary.length + 1)
-  await expect(page.getByText(/dismissed/i)).toBeVisible()
-  await expect(page.locator('[data-timeline-part-id="prt_todo_error"]')).toHaveCount(0)
-  for (let index = 0; index < ordinary.length; index++) {
-    await expect(page.locator(`[data-timeline-part-id="prt_error_${index}"]`)).toBeVisible()
-  }
-})
-
 test("transitions shell and question through running error outcomes", async ({ page }) => {
  const shellID = "prt_transition_error_shell"
  const questionID = "prt_transition_error_question"
  const timeline = await setupTimeline(page, {
+    settings: { shellToolPartsExpanded: true },
    messages: [
      userMessage(),
      assistantMessage(
@@ -44,7 +23,6 @@ test("transitions shell and question through running error outcomes", async ({ p
      ),
    ],
  })
-  await timeline.waitForPart(shellID)
  await expect(page.locator(`[data-timeline-part-id="${questionID}"]`)).toHaveCount(0)
  await timeline.send(partUpdated(toolPart(shellID, "shell", "running", { command: "exit 1" })), 120)
  await timeline.send(partUpdated(toolPart(questionID, "question", "running", questionInput())), 180)
@@ -68,6 +46,7 @@ test("preserves surviving grouped patch state when its first patch fails", async
  const failed = "prt_grouped_patch_failed"
  const surviving = "prt_grouped_patch_surviving"
  const timeline = await setupTimeline(page, {
+    settings: { editToolPartsExpanded: true },
    messages: [
      userMessage(),
      assistantMessage(
@@ -134,98 +113,52 @@ test("preserves surviving grouped patch state when its first patch fails", async
    .toBeGreaterThanOrEqual(-0.5)
 })

-test("labels all web search provider variants", async ({ page }) => {
+test("groups instruction files loaded by the same read", async ({ page }) => {
+  const id = "prt_read_instructions"
+  await setupTimeline(page, {
+    messages: [
+      userMessage(),
+      assistantMessage([
+        toolPart(
+          id,
+          "read",
+          "completed",
+          { path: "src/a.ts" },
+          { metadata: { loaded: ["AGENTS.md", "packages/app/AGENTS.md", "packages/ui/AGENTS.md"] } },
+        ),
+      ]),
+    ],
+  })
+
+  const tool = page.locator(`[data-timeline-part-id="${id}"]`)
+  const loaded = tool.locator('[data-component="tool-loaded-item"]')
+  await expect(loaded).toHaveCount(1)
+  await expect(loaded).toHaveAttribute("aria-label", "Loaded AGENTS.md, packages/app/AGENTS.md, packages/ui/AGENTS.md")
+  await expect(loaded.locator('[data-slot="tool-loaded-value"]')).toHaveText(
+    "AGENTS.md, packages/app/AGENTS.md, packages/ui/AGENTS.md",
+  )
+  await expect(loaded.locator('[data-slot="tool-loaded-kind"]')).toHaveCount(0)
+})
+
+test("groups only consecutive successful skill tools", async ({ page }) => {
  const parts = [
-    toolPart(
-      "prt_search_parallel",
-      "websearch",
-      "completed",
-      { query: "parallel" },
-      { metadata: { provider: "parallel" } },
-    ),
-    toolPart("prt_search_exa", "websearch", "completed", { query: "exa" }, { metadata: { provider: "exa" } }),
-    toolPart("prt_search_generic", "websearch", "completed", { query: "generic" }),
+    toolPart("prt_skill_first", "skill", "completed", { id: "ocpr" }),
+    toolPart("prt_skill_second", "skill", "completed", { id: "effect" }),
+    toolPart("prt_skill_third", "skill", "completed", { id: "ui-pr-screenshots" }),
+    toolPart("prt_skill_break", "read", "completed", { path: "src/a.ts" }),
+    toolPart("prt_skill_last", "skill", "completed", { id: "opencode" }),
  ]
  await setupTimeline(page, { messages: [userMessage(), assistantMessage(parts)] })

-  await expect(page.getByRole("button", { name: /Parallel Web Search/ })).toBeVisible()
-  await expect(page.getByRole("button", { name: /Exa Web Search/ })).toBeVisible()
-  await expect(page.getByRole("button", { name: /^Web Search/ })).toBeVisible()
-})
+  const group = page.locator(`[data-timeline-part-ids="${parts.map((part) => part.id).join(",")}"]`)
+  await group.getByRole("button").click()

-test("labels completed searches with result counts", async ({ page }) => {
-  const glob = "prt_glob_count"
-  const grep = "prt_grep_count"
-  await setupTimeline(page, {
-    messages: [
-      userMessage(),
-      assistantMessage([
-        toolPart(glob, "glob", "completed", { path: ".", pattern: "**/*.ts" }, { metadata: { count: 1 } }),
-        toolPart(grep, "grep", "completed", { path: ".", pattern: "value" }, { metadata: { matches: 12 } }),
-      ]),
-    ],
-  })
-
-  const group = page.locator(`[data-timeline-part-ids="${glob},${grep}"]`)
-  await group.locator('[data-slot="collapsible-trigger"]').click()
-  const rows = group.locator('[data-component="context-tool-group-list"] [data-component="tool-trigger"]')
-  await expect(rows.filter({ hasText: "Glob" })).toContainText("(1 match)")
-  await expect(rows.filter({ hasText: "Grep" })).toContainText("(12 matches)")
-})
-
-test("labels read tools from their path input", async ({ page }) => {
-  const id = "prt_read_path"
-  await setupTimeline(page, {
-    messages: [userMessage(), assistantMessage([toolPart(id, "read", "completed", { path: "src/a.ts" })])],
-  })
-
-  const group = page.locator(`[data-timeline-part-ids="${id}"]`)
-  await group.locator('[data-slot="collapsible-trigger"]').click()
-  await expect(
-    group
-      .locator('[data-component="context-tool-group-list"] [data-component="tool-trigger"]')
-      .filter({ hasText: "Read" }),
-  ).toContainText("a.ts")
-})
-
-test("labels skill tools from IDs and result metadata", async ({ page }) => {
-  const pending = "prt_skill_id"
-  const completed = "prt_skill_name"
-  await setupTimeline(page, {
-    messages: [
-      userMessage(),
-      assistantMessage([
-        toolPart(pending, "skill", "running", { id: "frontend-design" }),
-        toolPart(completed, "skill", "completed", { id: "opencode" }, { metadata: { name: "OpenCode" } }),
-      ]),
-    ],
-  })
-
-  for (const [id, name] of [
-    [pending, "frontend-design"],
-    [completed, "OpenCode"],
-  ] as const) {
-    const skill = page.locator(`[data-timeline-part-id="${id}"]`)
-    const loaded = skill.locator('[data-component="tool-loaded-item"]')
-    await expect(loaded).toHaveAttribute("aria-label", `Loaded ${name} skill`)
-    await expect(loaded).toHaveCSS("line-height", "16px")
-    await expect(loaded.locator('[data-slot="tool-loaded-label"]')).toHaveText("Loaded")
-    await expect(loaded.locator('[data-slot="tool-loaded-kind"]')).toHaveText("skill")
-    await expect(loaded.locator('[data-component="text-shimmer"]')).toHaveAttribute("aria-label", name)
-  }
+  const loaded = group.locator('[data-component="tool-loaded-item"]')
+  await expect(loaded).toHaveCount(2)
+  await expect(loaded.nth(0)).toHaveAttribute("aria-label", "Loaded ocpr, effect, ui-pr-screenshots skills")
+  await expect(loaded.nth(1)).toHaveAttribute("aria-label", "Loaded opencode skill")
 })

 function questionInput() {
  return { questions: [{ header: "Stability", question: "Keep it stable?", options: [] }] }
 }
-
-function errorInput(tool: string) {
-  if (tool === "shell") return { command: "exit 1" }
-  if (["edit", "write"].includes(tool)) return { path: "src/error.ts", content: "" }
-  if (tool === "patch") return { patchText: "Update src/error.ts" }
-  if (tool === "webfetch") return { url: "https://example.com" }
-  if (tool === "websearch") return { query: "failure" }
-  if (tool === "subagent") return { description: "Fail subagent", agent: "explore", prompt: "Inspect the failure." }
-  if (tool === "skill") return { name: "failure" }
-  return { target: "failure" }
-}
@@ -42,8 +42,7 @@ test("shows parent lineage while the child timeline loads", async ({ page }) =>
  const release = Promise.withResolvers<void>()
  await page.route(
    (url) =>
-      url.pathname === `/api/session/${childID}/message` &&
-      url.port === (process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"),
+      url.pathname === `/api/session/${childID}/message` && url.port === (process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"),
    async (route) => {
      requested.resolve()
      await release.promise
@@ -53,6 +52,7 @@ test("shows parent lineage while the child timeline loads", async ({ page }) =>

  await page.goto(sessionHref(parentID))
  await expectSessionTitle(page, parentTitle)
+  await page.getByRole("button", { name: "Used Explore" }).click()
  await page.locator(`a[href="${sessionHref(childID)}"]`).click()
  await Promise.all([requested.promise, expect(page).toHaveURL(sessionHref(childID))])
  await Promise.all([
@@ -77,6 +77,7 @@ test("keeps the parent visible while the child session resolves", async ({ page
  await page.goto(sessionHref(parentID))
  await expectSessionTitle(page, parentTitle)

+  await page.getByRole("button", { name: "Used Explore" }).click()
  await page.locator(`a[href="${sessionHref(childID)}"]`).click()
  await requested.promise
  await Promise.all([expect(page).toHaveURL(sessionHref(parentID)), expectSessionTitle(page, parentTitle)]).finally(
@@ -194,6 +195,7 @@ async function setup(page: Page, events?: () => OpenCodeEvent[]) {
 async function openChildFromParent(page: Page) {
  await page.goto(sessionHref(parentID))
  await expectSessionTitle(page, parentTitle)
+  await page.getByRole("button", { name: "Used Explore" }).click()

  const card = page.locator(`a[href="${sessionHref(childID)}"]`)
  await expect(card).toBeVisible()
@@ -103,6 +103,127 @@ test("cramped tabs only show the close button for the active tab", async ({ page
  await expect(tabB.locator('[data-slot="tab-close"]')).toBeVisible()
 })

+test("vertical tabs show project details, resize, and navigate", async ({ page }) => {
+  await mockServer(page)
+  await page.addInitScript(
+    ({ server, sessionA, sessionB }) => {
+      localStorage.setItem("settings.v3", JSON.stringify({ appearance: { tabLayout: "vertical" } }))
+      localStorage.setItem(
+        "opencode.window.browser.dat:tabs",
+        JSON.stringify([
+          { type: "session", server, sessionId: sessionA },
+          { type: "session", server, sessionId: sessionB },
+        ]),
+      )
+    },
+    { server, sessionA: sessionA.id, sessionB: sessionB.id },
+  )
+
+  const hrefA = `/server/${base64Encode(server)}/session/${sessionA.id}`
+  const hrefB = `/server/${base64Encode(server)}/session/${sessionB.id}`
+  await page.goto(hrefA)
+
+  const sidebar = page.locator('[data-slot="vertical-tabs-sidebar"]')
+  const tabA = sidebar.locator(`[data-titlebar-tab-link][href="${hrefA}"]`)
+  const tabB = sidebar.locator(`[data-titlebar-tab-link][href="${hrefB}"]`)
+  await expect(sidebar).toHaveCSS("width", "260px")
+  await expect(tabA).toContainText(sessionA.title)
+  await expect(tabB).toContainText(sessionB.title)
+  await expect(tabB.locator('[data-slot="tab-project"]')).toHaveText("tab-project")
+  await expect(sidebar.getByRole("button", { name: "New session" })).toBeVisible()
+  await expect(page.locator('[data-slot="titlebar-tabs"]')).toHaveCount(0)
+
+  const handle = sidebar.locator('[data-component="resize-handle"]')
+  await expect(handle).toHaveCSS("cursor", "col-resize")
+  const box = await handle.boundingBox()
+  if (!box) throw new Error("vertical tab resize handle has no bounding box")
+  await page.mouse.move(box.x + box.width / 2, box.y + box.height / 2)
+  await page.mouse.down()
+  await page.mouse.move(box.x + box.width / 2 - 80, box.y + box.height / 2)
+  await page.mouse.up()
+  await expect(sidebar).toHaveCSS("width", "180px")
+  await expect(tabB.locator('[data-slot="tab-project"]')).toHaveText("tab-project")
+
+  const resized = await handle.boundingBox()
+  if (!resized) throw new Error("resized vertical tab handle has no bounding box")
+  await page.mouse.move(resized.x + resized.width / 2, resized.y + resized.height / 2)
+  await page.mouse.down()
+  await page.mouse.move(resized.x - 200, resized.y + resized.height / 2)
+  await page.mouse.up()
+  await expect(sidebar).toHaveCSS("width", "130px")
+
+  await tabB.click()
+  await expect(page).toHaveURL(new RegExp(`${hrefB.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")}$`))
+  await expect(tabB).toBeVisible()
+})
+
+test("appearance experimental setting switches tab orientation", async ({ page }) => {
+  await mockServer(page)
+  await page.addInitScript(
+    ({ server, sessionA }) => {
+      localStorage.setItem(
+        "opencode.window.browser.dat:tabs",
+        JSON.stringify([{ type: "session", server, sessionId: sessionA }]),
+      )
+    },
+    { server, sessionA: sessionA.id },
+  )
+
+  await page.goto("/")
+  await expect(page.locator('[data-slot="titlebar-tabs"] [data-titlebar-tab-link]')).toBeVisible()
+  await page.keyboard.press("Control+,")
+
+  const settings = page.getByTestId("settings-screen")
+  await expect(settings).toBeVisible()
+  await settings.getByRole("tab", { name: "Appearance" }).click()
+  await expect(settings.getByRole("heading", { name: "Experimental" })).toBeVisible()
+
+  const layout = settings.locator('[data-action="settings-tab-layout"]')
+  await expect(layout).toContainText("Horizontal")
+  await layout.click()
+  await page.getByRole("option", { name: "Vertical" }).click()
+
+  await expect(layout).toContainText("Vertical")
+  await expect(page.locator('[data-slot="vertical-tabs-sidebar"]')).toBeVisible()
+  await expect(page.locator('[data-slot="titlebar-tabs"]')).toHaveCount(0)
+  await expect(settings.getByRole("tablist")).toHaveCSS("width", "240px")
+
+  await page.setViewportSize({ width: 920, height: 720 })
+  await expect(page.locator('[data-slot="vertical-tabs-sidebar"]')).toHaveCSS("width", "260px")
+  await expect(settings.getByRole("tablist")).toHaveCSS("width", "160px")
+
+  await page.setViewportSize({ width: 800, height: 720 })
+  await expect(settings.getByRole("tablist")).toHaveCSS("width", "160px")
+})
+
+test("vertical tab preference falls back to horizontal on mobile", async ({ page }) => {
+  await page.setViewportSize({ width: 390, height: 720 })
+  await mockServer(page)
+  await page.addInitScript(
+    ({ server, sessionA }) => {
+      localStorage.setItem("settings.v3", JSON.stringify({ appearance: { tabLayout: "vertical" } }))
+      localStorage.setItem(
+        "opencode.window.browser.dat:tabs",
+        JSON.stringify([{ type: "session", server, sessionId: sessionA }]),
+      )
+    },
+    { server, sessionA: sessionA.id },
+  )
+
+  const href = `/server/${base64Encode(server)}/session/${sessionA.id}`
+  await page.goto(href)
+
+  const tabs = page.locator('[data-slot="titlebar-tabs"]')
+  await expect(tabs.locator(`[data-titlebar-tab-link][href="${href}"]`)).toContainText(sessionA.title)
+  await expect(page.locator('[data-slot="vertical-tabs-sidebar"]')).toHaveCount(0)
+
+  await page.setViewportSize({ width: 1280, height: 720 })
+  await expect(
+    page.locator('[data-slot="vertical-tabs-sidebar"]').locator(`[data-titlebar-tab-link][href="${href}"]`),
+  ).toBeVisible()
+  await expect(page.locator('[data-slot="titlebar-tabs"]')).toHaveCount(0)
+})
+
 function session(id: string, title: string) {
  return {
    id,
@@ -87,6 +87,7 @@ test("clears the terminal line with Command+Delete", async ({ page }) => {
  const terminal = page.locator('[data-component="terminal"]')
  await page.keyboard.press("Control+Backquote")
  await expect(terminal.locator("textarea")).toHaveCount(1)
+  await expect.poll(() => sendPtyOutput).toBeDefined()

  await page.keyboard.press("Meta+Backspace")

@@ -127,7 +127,6 @@ test("animates review and terminal panels while caching hidden terminal content"
  await expectStackedGeometry(page)
  await expectPanelGapHeld(page)

-  await resetTerminalTopMotion(page)
  await resetTerminalBottomMotion(page)
  await resetTerminalAnchorGaps(page)
  await resetPanelGaps(page)
@@ -139,7 +138,6 @@ test("animates review and terminal panels while caching hidden terminal content"
  await expect(panel).toBeVisible()
  await expectHeightMotions(page, "session-side-region", 2)
  await expectHeightMotions(page, "session-side-terminal-region", 2)
-  await expectTerminalTopMotion(page)
  await expectTerminalBottomFixed(page)
  await expectTerminalTopAnchored(page)
  await expectPanelGapHeld(page)
@@ -225,7 +223,6 @@ type MotionProbe = {
  terminalAnchorGaps: number[]
  resetAnchorOnMotion: boolean
  panelGaps: number[]
-  terminalTops: number[]
  terminalBottoms: number[]
  heights: string[]
  animations: string[]
@@ -243,7 +240,6 @@ async function installMotionProbe(page: Page) {
      terminalAnchorGaps: [],
      resetAnchorOnMotion: false,
      panelGaps: [],
-      terminalTops: [],
      terminalBottoms: [],
      heights: [],
      animations: [],
@@ -270,7 +266,6 @@ async function installMotionProbe(page: Page) {
        const terminalContent = document.querySelector<HTMLElement>('[data-slot="terminal-panel-content"]')
        const panelGap = document.querySelector<HTMLElement>('[data-slot="session-side-panel-gap"]')
        if (!terminal || !terminalContent) return
-        probe.terminalTops.push(terminal.getBoundingClientRect().top)
        probe.terminalBottoms.push(terminal.getBoundingClientRect().bottom)
        probe.terminalContentSizes.push({
          width: terminalContent.getBoundingClientRect().width,
@@ -446,13 +441,6 @@ async function expectStackPainted(page: Page) {
  expect(Math.max(...gaps.map((gap) => gap.terminalSurface)), JSON.stringify(gaps)).toBeLessThanOrEqual(1)
 }

-async function resetTerminalTopMotion(page: Page) {
-  await page.evaluate(() => {
-    const probe = (window as Window & { __panelMotion?: MotionProbe }).__panelMotion
-    if (probe) probe.terminalTops = []
-  })
-}
-
 async function resetTerminalBottomMotion(page: Page) {
  await page.evaluate(() => {
    const probe = (window as Window & { __panelMotion?: MotionProbe }).__panelMotion
@@ -516,17 +504,6 @@ async function expectTerminalContentCachedSize(page: Page) {
  expect(Math.min(...sizes.map((size) => size.height))).toBeGreaterThan(100)
 }

-async function expectTerminalTopMotion(page: Page) {
-  const tops = await page.evaluate(
-    () => (window as Window & { __panelMotion?: MotionProbe }).__panelMotion?.terminalTops.map(Math.round) ?? [],
-  )
-  const unique = [...new Set(tops)]
-  const range = Math.max(...unique) - Math.min(...unique)
-  const maxDelta = Math.max(...unique.slice(1).map((value, index) => Math.abs(value - unique[index])))
-  expect(unique.length, JSON.stringify(unique)).toBeGreaterThan(6)
-  expect(maxDelta, JSON.stringify({ unique, range, maxDelta })).toBeLessThan(range * 0.3)
-}
-
 async function expectHeightMotions(page: Page, slot: string, count: number) {
  await expect
    .poll(() =>
@@ -0,0 +1,137 @@
+import { expect, test } from "@playwright/test"
+import { readFile } from "node:fs/promises"
+import { createServer } from "node:http"
+import { once } from "node:events"
+
+const legacy = `
+self.addEventListener("install", event => event.waitUntil(
+  caches.open("workbox-precache-v2-" + self.registration.scope).then(cache =>
+    cache.addAll(["/index.html", "/assets/app-old.js", "/assets/lazy-old.js"])
+  )
+))
+self.addEventListener("fetch", event => {
+  if (event.request.mode === "navigate") {
+    event.respondWith(caches.match("/index.html"))
+    return
+  }
+  event.respondWith(caches.match(event.request).then(response => response || fetch(event.request)))
+})
+`
+
+const fixture = test.extend<{ site: { url: string; upgrade: () => void; repair: () => void } }>({
+  site: async ({}, use) => {
+    const worker = await readFile(new URL("../../dist/sw.js", import.meta.url), "utf8")
+    const state = { version: "old", repaired: false }
+    const server = createServer((request, response) => {
+      const pathname = new URL(request.url ?? "/", "http://localhost").pathname
+      const prefix = state.version === "old" ? "/assets" : "/_assets"
+      response.setHeader("cache-control", "no-store")
+      if (pathname === "/sw.js") {
+        response.setHeader("content-type", "text/javascript")
+        response.end(state.version === "old" ? legacy : worker)
+        return
+      }
+      if (pathname === `${prefix}/app-${state.version}.js`) {
+        response.setHeader("content-type", "text/javascript")
+        response.end(`import "${prefix}/startup-${state.version}.js"`)
+        return
+      }
+      if (pathname === `${prefix}/startup-${state.version}.js`) {
+        response.setHeader("content-type", "text/javascript")
+        response.end(`
+          document.getElementById("root").innerHTML = '<h1>${state.version}</h1><label>Draft<input></label><button>Load older chunk</button><output></output>'
+          document.querySelector("button").onclick = () => import("/assets/lazy-old.js")
+        `)
+        return
+      }
+      if (
+        (pathname === "/assets/lazy-old.js" && state.version === "old") ||
+        (pathname === "/_assets/retry.js" && state.repaired)
+      ) {
+        response.setHeader("content-type", "text/javascript")
+        response.end('document.querySelector("output").textContent = "Older chunk loaded"')
+        return
+      }
+      // Deliberately retain the old server's fallback so the worker must reject HTML asset responses itself.
+      response.setHeader("content-type", "text/html")
+      response.end(`<div id="root"></div><script type="module" src="${prefix}/app-${state.version}.js"></script>`)
+    })
+    server.listen(0, "127.0.0.1")
+    await once(server, "listening")
+    const address = server.address()
+    if (!address || typeof address === "string") throw new Error("Expected a TCP address")
+    try {
+      await use({
+        url: `http://127.0.0.1:${address.port}`,
+        upgrade: () => (state.version = "new"),
+        repair: () => (state.repaired = true),
+      })
+    } finally {
+      server.closeAllConnections()
+      await new Promise<void>((resolve, reject) => server.close((error) => (error ? reject(error) : resolve())))
+    }
+  },
+})
+
+fixture("updates a legacy worker without reloading drafts or deleting old chunks", async ({ page, site }) => {
+  await page.goto(site.url)
+  await expect(page.getByRole("heading")).toHaveText("old")
+  await page.evaluate(async () => {
+    await navigator.serviceWorker.register("/sw.js")
+    await navigator.serviceWorker.ready
+  })
+  await page.goto(site.url)
+  await expect(page.getByRole("heading")).toHaveText("old")
+  await page.getByLabel("Draft").fill("Keep this unsent prompt")
+
+  site.upgrade()
+  await page.evaluate(async () => {
+    const cache = await caches.open("opencode-assets")
+    await cache.put(
+      "/_assets/startup-new.js",
+      new Response("<html>stale fallback</html>", {
+        headers: { "content-type": "text/html" },
+      }),
+    )
+    const changed = new Promise<void>((resolve) =>
+      navigator.serviceWorker.addEventListener("controllerchange", () => resolve(), { once: true }),
+    )
+    const registration = await navigator.serviceWorker.getRegistration()
+    if (!registration) throw new Error("Missing legacy worker")
+    await registration.update()
+    await changed
+  })
+
+  await expect(page.getByLabel("Draft")).toHaveValue("Keep this unsent prompt")
+  await page.getByRole("button", { name: "Load older chunk" }).click()
+  await expect(page.getByRole("status")).toHaveText("Older chunk loaded")
+
+  await page.goto(`${site.url}/workspace/example`)
+  await expect(page.getByRole("heading")).toHaveText("new")
+  await expect
+    .poll(() =>
+      page.evaluate(async () =>
+        (await (await caches.open("opencode-assets")).match("/_assets/startup-new.js"))?.headers.get("content-type"),
+      ),
+    )
+    .toBe("text/javascript")
+})
+
+fixture("does not cache HTML responses under asset URLs", async ({ page, site }) => {
+  site.upgrade()
+  await page.goto(site.url)
+  await expect(page.getByRole("heading")).toHaveText("new")
+  await page.evaluate(async () => {
+    await navigator.serviceWorker.register("/sw.js")
+    await navigator.serviceWorker.ready
+  })
+  await page.goto(site.url)
+  await expect(page.getByRole("heading")).toHaveText("new")
+  expect(await page.evaluate(async () => (await fetch("/_assets/retry.js")).headers.get("content-type"))).toBe(
+    "text/html",
+  )
+  site.repair()
+  expect(await page.evaluate(async () => (await fetch("/_assets/retry.js")).headers.get("content-type"))).toBe(
+    "text/javascript",
+  )
+})
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Brendan Allan	54e043ca39	fix(app): preserve draft new-tab action in settings	2026-08-27 02:56:30 +08:00
Brendan Allan	ed0a8e4256	Merge branch 'v2' into settings-tab-focus	2026-08-27 02:42:48 +08:00
opencode-agent[bot]	1aa4046f02	test(app): isolate component coverage with storybook (#45142 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-27 02:42:27 +08:00
Brendan Allan	fdd8abc9df	fix(app): clear active tab while settings is open	2026-08-27 02:37:03 +08:00
opencode-agent[bot]	9bd69fe847	chore: update nix node_modules hashes	2026-08-26 18:32:55 +00:00
Kit Langton	ded8a492d1	fix(core): recover background jobs after restart Persist background Job ownership and terminal results across server restarts. Resume existing subagent Sessions, admit shell cancellation notices without waking idle parents, and preserve explicit cancellation.	2026-08-26 14:17:43 -04:00
James Long	018b4c40f3	fix(pty): upgrade opencode-pty to 0.1.10 (#45352 )	2026-08-26 14:15:15 -04:00
Brendan Allan	0772b67b7a	fix(app): prevent stale service worker startup failures (#45344 )	2026-08-27 02:06:21 +08:00
Aiden Cline	a841d6d046	fix(ai): accept empty Responses stream IDs and null items (#45330 )	2026-08-26 13:04:24 -05:00
opencode-agent[bot]	ab6a01d135	fix(ui): remove solid menu group label line height (#45331 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-27 00:58:57 +08:00
Kit Langton	962a6ca0e7	fix(sdk): identify workspace dependencies by version specifier (#45309 )	2026-08-26 12:55:06 -04:00
Kit Langton	2602dcd0a7	refactor(core): encapsulate physical attempt execution (#45294 ) Extract physical-attempt streaming, tool execution, and durable settlement from the Session runner. Preserve logical-Step retry and recovery policy, use tagged drain outcomes, and fix multi-click selection during auto-copy.	2026-08-26 12:41:45 -04:00
Aiden Cline	cf98ca55c9	fix(core): allow non-letter tool name prefixes (#45317 )	2026-08-26 11:21:14 -05:00
Kit Langton	fedf017e25	fix(tui): clarify code mode tool call rendering	2026-08-26 11:27:17 -04:00
Aiden Cline	f4a9b93013	feat(ai): add native Groq provider with provider-specific options (#45288 )	2026-08-26 10:12:52 -05:00
Dax Raad	cbef698861	fix(core): suppress state updates during location teardown	2026-08-26 10:48:44 -04:00
James Long	ab2d251155	fix(server): unblock persistent terminal input in Bun builds (#45287 )	2026-08-26 10:47:16 -04:00
Kit Langton	3d7ba38965	feat(tui): investigate errors in a new session	2026-08-26 10:43:40 -04:00
Aiden Cline	37a6ba893e	chore(ai): format package with prettier (#45280 )	2026-08-26 09:24:13 -05:00
Brendan Allan	6c6871fd2a	fix(app): include files in mention search (#45281 )	2026-08-26 22:18:34 +08:00
opencode-agent[bot]	1e864dd8c6	chore: update nix node_modules hashes	2026-08-26 13:49:52 +00:00
James Long	21980a4448	fix(tui): restore terminal settings and move pane toggle to sessions (#45271 )	2026-08-26 09:46:33 -04:00
James Long	9cca8dd6e0	feat(tui): add persistent session terminals (#44971 )	2026-08-26 09:30:03 -04:00
Dax	91028a690b	feat(tui): show LLM token throughput	2026-08-26 09:23:53 -04:00
Shoubhit Dash	e82aa92e64	fix(session): support assistant message content updates (#45015 )	2026-08-26 18:31:59 +05:30
opencode-agent[bot]	874538d702	fix(desktop): restrict macOS app entitlements (#45258 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 12:53:00 +00:00
opencode-agent[bot]	afc26c72c0	chore: update nix node_modules hashes	2026-08-26 12:11:06 +00:00
James Long	d572a5756c	feat(cli): embed persistent PTY binaries from npm packages (#45248 )	2026-08-26 07:55:30 -04:00
opencode-agent[bot]	ab95695b24	fix(app): combine loaded skill and instruction file entries (#45217 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 10:08:33 +00:00
Luke Parker	5d7c2ccfc0	feat(app): add experimental vertical session tabs (#45210 )	2026-08-26 19:40:09 +10:00
Luke Parker	24ac05868c	fix(desktop): align and theme Windows caption controls (#45208 )	2026-08-26 09:02:10 +00:00
Shoubhit Dash	4eaf533cd0	feat(plugin): add declarative vcs repository markers (#45192 )	2026-08-26 13:49:36 +05:30
Shoubhit Dash	0f7a76eff0	fix(ai): keep bedrock mantle responses on http (#45197 )	2026-08-26 13:38:27 +05:30
Luke Parker	16d731bd67	feat(app): render settings as a fullscreen surface (#45190 )	2026-08-26 07:57:36 +00:00
Luke Parker	ea582fc133	feat(app): stack collapsed tool calls (#45176 )	2026-08-26 07:56:53 +00:00
opencode-agent[bot]	7e27e81bc7	fix(app): preserve timeline measurements when moving sessions (#45145 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 14:39:01 +08:00
opencode-agent[bot]	667722897e	fix(app): identify session worktrees from project inventory (#45153 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 14:38:08 +08:00
opencode-agent[bot]	d12dbd12a9	fix(app): prevent duplicate rows when editing queued prompts (#45169 )l Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 06:21:44 +00:00
opencode-agent[bot]	b0bd0bc394	fix(app): align project settings server sections (#45163 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 04:42:26 +00:00
Dax	437df1164c	feat(plugin): expose session move	2026-08-26 00:14:12 -04:00
opencode-agent[bot]	9a91e21a76	fix(app): preserve workspace choices across draft tabs (#45149 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 03:51:14 +00:00
opencode-agent[bot]	d01ac2069a	chore: update nix node_modules hashes	2026-08-26 03:32:00 +00:00
Aiden Cline	a78d3c5438	fix(ai): recover Anthropic request_too_large as overflow (#45144 )	2026-08-25 22:30:14 -05:00
David Hill	474c3588c1	fix(tui): use unicode ellipses in interface text (#45143 )	2026-08-25 22:26:15 -05:00
Kit Langton	9361117504	feat(core): add directory projects (#45107 )	2026-08-25 23:22:23 -04:00
Aiden Cline	5add6a8e19	fix(ai): preserve provider-defined responses item ids (#45094 )	2026-08-25 22:17:16 -05:00
Aiden Cline	f3c390b89e	feat(ai): add native DeepInfra provider (#45108 )	2026-08-25 22:15:52 -05:00
opencode-agent[bot]	185c3e5136	fix(app): show project logos throughout settings (#45134 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 02:43:53 +00:00
Kit Langton	cb863b8ea5	fix(tui): dismiss the active interaction with ctrl-c (#45111 )	2026-08-25 22:38:50 -04:00
Kit Langton	695c043e6b	feat(core): refresh unpinned plugins on startup (#45118 )	2026-08-25 22:32:05 -04:00
opencode-agent[bot]	d53456da3b	chore: update nix node_modules hashes	2026-08-26 02:16:23 +00:00
opencode-agent[bot]	64e930628d	fix(ci): compare affected packages against actual PR base (#45130 ) Co-authored-by: Brendonovich <Brendonovich@users.noreply.github.com>	2026-08-26 10:13:53 +08:00
Kit Langton	3c73ce1dc7	fix(core): materialize mentioned skills on prompts (#44840 )	2026-08-25 22:04:09 -04:00
Kit Langton	4b71ae6a0d	feat(core): support git plugin packages (#45110 )	2026-08-25 22:02:49 -04:00
opencode-agent[bot]	e211b6f30e	test: run only affected unit suites (#45034 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-08-26 09:51:44 +08:00
Kit Langton	ab4621e437	fix(sdk): keep packaged Effect runtime coherent (#45122 )	2026-08-26 01:51:36 +00:00
Kit Langton	97ba700fac	fix(tui): preserve prompt metadata visibility across sessions (#45116 )	2026-08-25 21:37:58 -04:00
Luke Parker	03fb5c6c67	fix(app): prevent clipped virtual timeline rows (#45115 )	2026-08-26 01:33:32 +00:00
Luke Parker	5a54eb4afc	fix(app): stream running shell tool output (#45106 )	2026-08-26 00:58:15 +00:00
Kit Langton	c4dcf72e13	fix(tui): detect clipped transcript bottom (#45100 )	2026-08-25 20:46:52 -04:00
opencode-agent[bot]	27e0de6b23	chore: update nix node_modules hashes	2026-08-26 00:41:39 +00:00
Kit Langton	73d7b1d4c1	fix(tui): preserve interrupted Mermaid diagrams (#45102 )	2026-08-26 00:25:00 +00:00
Kit Langton	690ad8e8bd	test(core): isolate host configuration and credentials (#44845 )	2026-08-25 20:22:21 -04:00
Aiden Cline	6c97be6974	feat(ai): add native Cerebras and Together AI providers (#45098 )	2026-08-25 19:20:47 -05:00
Dax Raad	6cd1ffac50	chore: synchronize bun lockfile	2026-08-25 19:18:17 -04:00
Aiden Cline	f08c234890	fix(ai): ignore SSE retry directives without ending streams (#45093 )	2026-08-25 18:17:45 -05:00
Kit Langton	7f2b052db6	refactor(core): remove unused Drizzle migration framework	2026-08-25 19:16:26 -04:00
Dax Raad	297a3328c6	feat(tui): group MCP integrations in connection dialog	2026-08-25 19:14:12 -04:00
Kit Langton	7f9e5e91ab	feat(tui): add experimental session preview tabs (#45021 )	2026-08-25 18:51:36 -04:00
Aiden Cline	3726e3254d	fix(ai): enable Vertex Anthropic prompt caching (#45088 )	2026-08-25 17:44:32 -05:00
Aiden Cline	24605d048f	fix(ai): send responses instructions at top level (#45085 )	2026-08-25 17:34:40 -05:00
Aiden Cline	0a84625618	fix(ai): accept responses calls without item ids (#45081 )	2026-08-25 17:29:57 -05:00
Major Hayden	2e7f06a155	fix(ai): preserve Vertex Anthropic tool continuations (#43498 ) Signed-off-by: Major Hayden <major@mhtx.net>	2026-08-25 17:22:51 -05:00
Aiden Cline	c2a3b813a0	fix(ai): require reasoning fields for deepseek assistants (#45075 )	2026-08-25 17:13:17 -05:00
opencode-agent[bot]	b79cad5ec8	fix(core): respect automatic compaction opt-out on overflow (#45036 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-08-25 16:58:39 -05:00
opencode-agent[bot]	61dd296161	fix(www): generate CLI schema without tracking it (#45080 ) Co-authored-by: neriousy <34747899+neriousy@users.noreply.github.com>	2026-08-25 23:54:07 +02:00