fix(cli,tui): handle global cache rewrites and query-suffixed paths

refactor(cli): simplify plugin runtime specifier resolution and tests
fix(cli,tui): handle dynamic TUI plugin host imports and cold require
2026-10-07 07:48:16 +00:00 · 2026-10-06 07:48:17 -07:00 · 2026-10-06 00:43:55 -07:00 · 2026-10-05 23:48:49 -07:00 · 2026-10-05 22:43:32 -07:00 · 2026-10-05 18:20:06 -07:00
702 changed files with 13932 additions and 6045 deletions
@@ -33,7 +33,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -55,7 +55,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -112,7 +112,7 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "bin": {
        "opencode": "./bin/opencode.cjs",
        "opencode2": "./bin/opencode2.cjs",
@@ -179,7 +179,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -195,7 +195,7 @@
        "zod": "catalog:",
      },
      "peerDependencies": {
-        "effect": "4.0.0-rc.118",
+        "effect": "4.0.0-rc.112",
        "solid-js": ">=1.9.0",
      },
      "optionalPeers": [
@@ -205,7 +205,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -218,7 +218,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -254,7 +254,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -281,7 +281,7 @@
    },
    "packages/console/function": {
      "name": "@opencode/console-function",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -298,7 +298,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -322,7 +322,7 @@
    },
    "packages/console/support": {
      "name": "@opencode/console-support",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -342,7 +342,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -383,7 +383,6 @@
        "mime-types": "3.0.2",
        "tree-sitter-bash": "0.25.0",
        "tree-sitter-powershell": "0.25.10",
-        "venice-ai-sdk-provider": "2.1.1",
        "web-tree-sitter": "0.25.10",
        "which": "6.0.1",
        "zod": "catalog:",
@@ -407,12 +406,11 @@
        "@types/node": "catalog:",
        "@types/which": "3.0.4",
        "drizzle-kit": "catalog:",
-        "fast-check": "catalog:",
      },
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -457,7 +455,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -494,7 +492,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -510,7 +508,7 @@
    },
    "packages/gui-extensions": {
      "name": "@opencode/gui-extensions",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@dnd-kit/abstract": "0.5.0",
        "@dnd-kit/dom": "0.5.0",
@@ -555,9 +553,9 @@
    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
-        "@effect/platform-node-shared": "4.0.0-rc.118",
+        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
      "devDependencies": {
        "@effect/platform-node": "catalog:",
@@ -574,7 +572,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -587,7 +585,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -601,7 +599,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -616,7 +614,7 @@
    },
    "packages/plugin": {
      "name": "@opencode/plugin",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode/ai": "workspace:*",
@@ -655,7 +653,7 @@
    },
    "packages/plugin-browser": {
      "name": "@opencode/plugin-browser",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -685,7 +683,7 @@
    },
    "packages/protocol": {
      "name": "@opencode/protocol",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -700,7 +698,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -724,7 +722,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -745,7 +743,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -767,7 +765,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -802,7 +800,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -822,7 +820,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -856,7 +854,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -875,7 +873,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -921,7 +919,7 @@
    },
    "packages/theme": {
      "name": "@opencode/theme",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opentui/core": "catalog:",
        "effect": "catalog:",
@@ -935,7 +933,7 @@
    },
    "packages/tui": {
      "name": "@opencode/tui",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -969,7 +967,7 @@
    },
    "packages/ui": {
      "name": "@opencode/ui",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -1004,7 +1002,7 @@
    },
    "packages/util": {
      "name": "@opencode/util",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -1042,7 +1040,7 @@
    },
    "packages/web": {
      "name": "@opencode/web",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1083,7 +1081,7 @@
    },
    "services/update": {
      "name": "@opencode/update",
-      "version": "2.0.22",
+      "version": "2.0.23",
      "dependencies": {
        "jose": "6.0.11",
        "semver": "catalog:",
@@ -1149,10 +1147,10 @@
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    "@corvu/drawer": "0.2.4",
-    "@effect/opentelemetry": "4.0.0-rc.118",
-    "@effect/platform-node": "4.0.0-rc.118",
-    "@effect/platform-node-shared": "4.0.0-rc.118",
-    "@effect/sql-sqlite-bun": "4.0.0-rc.118",
+    "@effect/opentelemetry": "4.0.0-rc.112",
+    "@effect/platform-node": "4.0.0-rc.112",
+    "@effect/platform-node-shared": "4.0.0-rc.112",
+    "@effect/sql-sqlite-bun": "4.0.0-rc.112",
    "@hono/standard-validator": "0.2.0",
    "@hono/zod-validator": "0.4.2",
    "@kobalte/core": "0.13.13",
@@ -1192,8 +1190,7 @@
    "dompurify": "3.4.14",
    "drizzle-kit": "1.0.0-rc.5-ab785fc",
    "drizzle-orm": "1.0.0-rc.5-169397b",
-    "effect": "4.0.0-rc.118",
-    "fast-check": "4.9.0",
+    "effect": "4.0.0-rc.112",
    "fuzzysort": "3.1.0",
    "get-east-asian-width": "1.6.0",
    "hono": "4.10.7",
@@ -1725,13 +1722,13 @@

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@@ -3317,8 +3326,6 @@

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    "vite-plugin-icons-spritesheet/chalk": ["chalk@5.6.2", "", {}, "sha512-7NzBL0rN6fMUW+f7A6Io4h40qQlG+xGmtMxfbnH/K7TAtt8JQWVQK+6g0UXKMeVJoyV5EkkNsErQ8pVD3bLHbA=="],
@@ -7241,8 +7238,6 @@

    "@vitest/expect/@vitest/utils/@vitest/pretty-format": ["@vitest/pretty-format@3.2.4", "", { "dependencies": { "tinyrainbow": "^2.0.0" } }, "sha512-IVNZik8IVRJRTr9fxlitMKeJeXFFFN0JaB9PHPGQ8NKQbGpfjlTx9zO4RefN8gp7eqjNy8nyK3NZmBzOPeIxtA=="],

-    "ai/@ai-sdk/provider-utils/undici": ["undici@7.29.0", "", {}, "sha512-IDxfleLmmbSskfWSUATiN1nfn2rDuvnMOqb5CWR92iIfojA0Ud+ulOAAEQ57LPr9rWmsreUyf5lwyao+7GNNVw=="],
-
    "ansi-align/string-width/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],

    "ansi-align/string-width/strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
@@ -7541,10 +7536,6 @@

    "tw-to-css/tailwindcss/postcss": ["postcss@8.5.26", "", { "dependencies": { "nanoid": "^3.3.17", "picocolors": "^1.1.1", "source-map-js": "^1.2.1" } }, "sha512-u82N74LFzG8ca+dD8puPnplTXoGH4fTPpVGuIbt36G3qvNlkvfD0lEAZSxaly3KX8TS/L1A1gsCEmvKmBcVbkQ=="],

-    "venice-ai-sdk-provider/@ai-sdk/openai-compatible/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
-
-    "venice-ai-sdk-provider/@ai-sdk/openai-compatible/@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=="],
-
    "vitest/@vitest/expect/chai": ["chai@6.2.2", "", {}, "sha512-NUPRluOfOiTKBKvWPtSD4PhFvWCqOi0BGStNWs57X9js7XGTprSmFoz5F0tWhR4WPjNeR9jXqdC7/UpSJTnlRg=="],

    "vscode-languageserver/vscode-languageserver-protocol/vscode-jsonrpc": ["vscode-jsonrpc@8.2.0", "", {}, "sha512-C+r0eKJUIfiDIfwJhria30+TYWPtuHJXHtI7J0YlOmKAo7ogxP20T0zxB7HZQIFhIyvoBPwWskjxrvAtfjyZfA=="],
@@ -8423,8 +8414,6 @@

    "tw-to-css/tailwindcss/chokidar/readdirp": ["readdirp@3.6.0", "", { "dependencies": { "picomatch": "^2.2.1" } }, "sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA=="],

-    "venice-ai-sdk-provider/@ai-sdk/openai-compatible/@ai-sdk/provider-utils/undici": ["undici@6.28.0", "", {}, "sha512-LIY910g9TI13YS95lrMFrs8Rm/u/irgHeTWoKCoteeJ04CUJ92eEfj0rVn+7VKMPBpUPiUoBKfhNyLI23EE/KA=="],
-
    "yargs/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],

    "@astrojs/cloudflare/@cloudflare/vite-plugin/miniflare/sharp/@img/sharp-darwin-arm64": ["@img/sharp-darwin-arm64@0.35.2", "", { "optionalDependencies": { "@img/sharp-libvips-darwin-arm64": "1.3.1" }, "os": "darwin", "cpu": "arm64" }, "sha512-eEieHsMksAW4IiO5NzauESRl2D2qz3J/kwUxUrSfV06A93eEaRfMpHXyUb1mAqrR7i8U9A0GRqE9pjn6u1Jjpg=="],
@@ -1,7 +1,7 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-2RlbJRTEKSliuUbAE2lAktX63JFR/RKAuLkcCou8wb4=",
-    "aarch64-linux": "sha256-P7DAE018lTJNGmttg87U9oaTAuw/wHlnMStdnXYKCr0=",
-    "aarch64-darwin": "sha256-N+NfV1ObOTnW+ez7As+CS+6ci/iRGCQ6cslvyQFCp6E="
+    "x86_64-linux": "sha256-4AqU8dPEwo0ukoyEX1SuDVzsXQ7G/fIPnxoL400zH4M=",
+    "aarch64-linux": "sha256-p75sJYtR8a4oVKb1+Dgp8Kl+1onSmUw5NRv95bbV1+E=",
+    "aarch64-darwin": "sha256-Psyvbw/lGulysQlhK/MqcHVIwx2aCDTr+Pfr+gRWsG4="
  }
 }
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.22",
+  "version": "2.0.23",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -43,10 +43,10 @@
      "packages/stats/*"
    ],
    "catalog": {
-      "@effect/opentelemetry": "4.0.0-rc.118",
-      "@effect/platform-node": "4.0.0-rc.118",
-      "@effect/platform-node-shared": "4.0.0-rc.118",
-      "@effect/sql-sqlite-bun": "4.0.0-rc.118",
+      "@effect/opentelemetry": "4.0.0-rc.112",
+      "@effect/platform-node": "4.0.0-rc.112",
+      "@effect/platform-node-shared": "4.0.0-rc.112",
+      "@effect/sql-sqlite-bun": "4.0.0-rc.112",
      "@npmcli/arborist": "9.4.0",
      "@types/bun": "1.4.0",
      "@types/cross-spawn": "6.0.6",
@@ -80,8 +80,7 @@
      "dompurify": "3.4.14",
      "drizzle-kit": "1.0.0-rc.5-ab785fc",
      "drizzle-orm": "1.0.0-rc.5-169397b",
-      "effect": "4.0.0-rc.118",
-      "fast-check": "4.9.0",
+      "effect": "4.0.0-rc.112",
      "ai": "6.0.168",
      "cross-spawn": "7.0.6",
      "hono": "4.10.7",
@@ -106,6 +106,41 @@ for await (const event of ai.llm.stream(ai.llm.request(input))) {
 await ai.dispose()
 ```

+## Venice AI
+
+`Venice` provides native Chat Completions with streaming tools and reasoning. `model` and `chat`
+select the same API; credentials default to `VENICE_API_KEY`.
+
+```ts
+import { LLM } from "@opencode/ai"
+import { Venice } from "@opencode/ai/providers"
+import { Effect } from "effect"
+
+const program = Effect.gen(function* () {
+  const response = yield* LLM.generate({
+    model: Venice.configure({ apiKey: process.env.VENICE_API_KEY }).chat("qwen3-6-27b"),
+    prompt: "Explain this design.",
+    providerOptions: {
+      reasoningEffort: "high",
+      veniceParameters: { includeVeniceSystemPrompt: false },
+    },
+  })
+  console.log(response.text)
+})
+```
+
+Effort lowers to `reasoning.effort`; `reasoning.enabled` and `reasoning.summary` are also available.
+Supported effort levels and toggles depend on the selected model. Omitted controls preserve its defaults.
+Venice's added system prompt is disabled by default, matching the previous OpenCode Venice SDK behavior.
+
+Replay complete `response.message` values to retain signed/encrypted reasoning and Gemini thought
+signatures, including per-tool signatures. Venice's encrypted scalar trailers are excluded from visible
+reasoning but retained in provider metadata for replay. Cache affinity uses `promptCacheKey`, and cache-write
+usage reads Venice's `cache_creation_input_tokens` field.
+
+The native package entrypoint is `@opencode/ai/providers/venice`. Image generation, embeddings, Responses, and
+client-side E2EE are not implemented by this provider.
+
 ## Experimental evaluation

 Evaluation models compare shared state with typed choice, score, and boolean questions. The API is
@@ -15,7 +15,7 @@ import { OpenAI } from "@opencode/ai/providers"
 * hover imports and local values to see how the public API is typed.
 */

-const apiKey = Config.Redacted("OPENAI_API_KEY")
+const apiKey = Config.redacted("OPENAI_API_KEY")

 // 1. Configure a provider. The configured facade records provider identity,
 // deployment options, authentication, and defaults. Per-modality selectors pick
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.22",
+  "version": "2.0.23",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -5,7 +5,7 @@ import * as path from "node:path"
 import * as prompts from "@clack/prompts"
 import { AwsV4Signer } from "aws4fetch"
 import { Config, ConfigProvider, Effect, FileSystem, PlatformError, Redacted } from "effect"
-import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/http"
+import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/unstable/http"
 import * as ProviderShared from "../src/protocols/shared"
 import { CloudflareAIGateway } from "../src/providers/cloudflare-ai-gateway.js"
 import { CloudflareWorkersAI } from "../src/providers/cloudflare-workers-ai.js"
@@ -383,7 +383,7 @@ const readEnvFile = Effect.fn("RecordingEnv.readFile")(function* () {
 })

 const readConfigString = (provider: ConfigProvider.ConfigProvider, name: string) =>
-  Config.String(name)
+  Config.string(name)
    .parse(provider)
    .pipe(
      Effect.match({
@@ -42,6 +42,7 @@ const RESPECTS_INLINE_HINTS = new Set([
  "alibaba-messages",
  "anthropic-messages",
  "anthropic-compatible-messages",
+  "bedrock-mantle-messages",
  "cloudflare-ai-gateway-messages",
  "google-vertex-messages",
  "meta-messages",
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/http"
+import { Headers, HttpClientRequest } from "effect/unstable/http"
 import {
  ChoiceQuestion,
  EvaluationInput,
@@ -1,8 +1,7 @@
 export * as Media from "./media.js"

-import { Effect, FileSystem, Schema, SchemaGetter } from "effect"
-import { Base64 } from "effect/encoding"
-import { HttpClientRequest } from "effect/http"
+import { Effect, Encoding, FileSystem, Schema, SchemaGetter } from "effect"
+import { HttpClientRequest } from "effect/unstable/http"
 import { ProviderID } from "./schema/ids.js"
 import { AIError, HttpContext, InvalidProviderOutputError, InvalidRequestError } from "./schema/errors.js"
 import { ProviderMetadata } from "./schema/options.js"
@@ -141,7 +140,7 @@ export class Asset {
  inline(): Inline | undefined {
    const source = this.source
    if (source.type !== "bytes" && source.type !== "base64") return undefined
-    const base64 = source.type === "base64" ? source.data : (this.#base64 ??= Base64.encode(source.data))
+    const base64 = source.type === "base64" ? source.data : (this.#base64 ??= Encoding.encodeBase64(source.data))
    const mime = this.mediaType.toLowerCase()
    return { mime, base64, dataUrl: `data:${mime};base64,${base64}` }
  }
@@ -156,7 +155,7 @@ export class Asset {
        return Effect.fail(invalid(`Cannot materialize provider ref ${source.provider}:${source.id}`))
      const decoded =
        source.type === "base64"
-          ? Effect.fromResult(Base64.decode(source.data)).pipe(
+          ? Effect.fromResult(Encoding.decodeBase64(source.data)).pipe(
              Effect.mapError((cause) => invalid(`Media asset contains invalid base64 data`, cause)),
            )
          : download(source, this.headers)
@@ -169,7 +168,7 @@ export class Asset {
      const source = this.source
      if (source.type === "base64") return Effect.succeed(source.data)
      if (this.#base64 !== undefined) return Effect.succeed(this.#base64)
-      return this.bytes().pipe(Effect.map((data) => (this.#base64 = Base64.encode(data))))
+      return this.bytes().pipe(Effect.map((data) => (this.#base64 = Encoding.encodeBase64(data))))
    })
  }

@@ -184,7 +183,7 @@ export class Asset {
  toJSON() {
    const source = this.source
    return {
-      source: source.type === "bytes" ? { ...source, data: Base64.encode(source.data) } : source,
+      source: source.type === "bytes" ? { ...source, data: Encoding.encodeBase64(source.data) } : source,
      info: this.info,
      providerMetadata: this.providerMetadata,
    }
@@ -6,7 +6,7 @@ import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Framing } from "../route/framing.js"
 import { Protocol } from "../route/protocol.js"
-import { Headers } from "effect/http"
+import { Headers } from "effect/unstable/http"
 import { HttpTransport } from "../route/transport/index.js"
 import {
  AIError,
@@ -422,57 +422,74 @@ const AnthropicUsage = Schema.StructWithRest(
 )
 type AnthropicUsage = Schema.Schema.Type<typeof AnthropicUsage>

-const AnthropicStreamBlock = Schema.Struct({
-  type: Schema.String,
-  id: Schema.optional(Schema.String),
-  name: Schema.optional(Schema.String),
-  text: Schema.optional(Schema.String),
-  thinking: Schema.optional(Schema.String),
-  signature: Schema.optional(Schema.String),
-  // redacted_thinking blocks arrive whole in content_block_start with the
-  // encrypted payload in `data`; there is no streaming delta sequence.
-  data: Schema.optional(Schema.String),
-  input: Schema.optional(Schema.Unknown),
-  // *_tool_result blocks arrive whole as content_block_start (no streaming
-  // delta) with the structured payload in `content` and the originating
-  // server_tool_use id in `tool_use_id`.
-  tool_use_id: Schema.optional(Schema.String),
-  content: Schema.optional(Schema.Unknown),
-})
+const AnthropicStreamBlock = Schema.StructWithRest(
+  Schema.Struct({
+    type: Schema.String,
+    id: Schema.optional(Schema.String),
+    name: Schema.optional(Schema.String),
+    text: Schema.optional(Schema.String),
+    thinking: Schema.optional(Schema.String),
+    signature: Schema.optional(Schema.String),
+    // redacted_thinking blocks arrive whole in content_block_start with the
+    // encrypted payload in `data`; there is no streaming delta sequence.
+    data: Schema.optional(Schema.String),
+    input: Schema.optional(Schema.Unknown),
+    // *_tool_result blocks arrive whole as content_block_start (no streaming
+    // delta) with the structured payload in `content` and the originating
+    // server_tool_use id in `tool_use_id`.
+    tool_use_id: Schema.optional(Schema.String),
+    content: Schema.optional(Schema.Unknown),
+  }),
+  [JsonObject],
+)
 type AnthropicStreamBlock = Schema.Schema.Type<typeof AnthropicStreamBlock>
 const decodeAnthropicStreamBlock = Schema.decodeUnknownOption(AnthropicStreamBlock)

-const AnthropicStreamDelta = Schema.Struct({
-  content: optionalNull(Schema.String),
-  type: Schema.optional(Schema.String),
-  text: Schema.optional(Schema.String),
-  thinking: Schema.optional(Schema.String),
-  partial_json: Schema.optional(Schema.String),
-  signature: Schema.optional(Schema.String),
-  stop_reason: optionalNull(Schema.String),
-  stop_sequence: optionalNull(Schema.String),
-  stop_details: optionalNull(
-    Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
-  ),
-})
+const AnthropicStreamDelta = Schema.StructWithRest(
+  Schema.Struct({
+    content: optionalNull(Schema.String),
+    type: Schema.optional(Schema.String),
+    text: Schema.optional(Schema.String),
+    thinking: Schema.optional(Schema.String),
+    partial_json: Schema.optional(Schema.String),
+    signature: Schema.optional(Schema.String),
+    stop_reason: optionalNull(Schema.String),
+    stop_sequence: optionalNull(Schema.String),
+    stop_details: optionalNull(
+      Schema.StructWithRest(
+        Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
+        [JsonObject],
+      ),
+    ),
+  }),
+  [JsonObject],
+)
 type AnthropicStreamDelta = Schema.Schema.Type<typeof AnthropicStreamDelta>
 const decodeAnthropicStreamDelta = Schema.decodeUnknownOption(AnthropicStreamDelta)

-const AnthropicEvent = Schema.Struct({
-  type: Schema.String,
-  index: Schema.optional(Schema.Number),
-  message: Schema.optional(Schema.Struct({ usage: Schema.optional(AnthropicUsage) })),
-  content_block: Schema.optional(Schema.Unknown),
-  delta: Schema.optional(Schema.Unknown),
-  usage: Schema.optional(AnthropicUsage),
-  // `type` and `message` are both required per Anthropic's spec, but
-  // OpenAI-compatible proxies and gateway translations occasionally drop one
-  // or the other; mark them optional so a partial payload still parses and
-  // the parser can fall back to whichever field is populated.
-  error: Schema.optional(
-    Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),
-  ),
-})
+const AnthropicEvent = Schema.StructWithRest(
+  Schema.Struct({
+    type: Schema.String,
+    index: Schema.optional(Schema.Number),
+    message: Schema.optional(
+      Schema.StructWithRest(Schema.Struct({ usage: Schema.optional(AnthropicUsage) }), [JsonObject]),
+    ),
+    content_block: Schema.optional(Schema.Unknown),
+    delta: Schema.optional(Schema.Unknown),
+    usage: Schema.optional(AnthropicUsage),
+    // `type` and `message` are both required per Anthropic's spec, but
+    // OpenAI-compatible proxies and gateway translations occasionally drop one
+    // or the other; mark them optional so a partial payload still parses and
+    // the parser can fall back to whichever field is populated.
+    error: Schema.optional(
+      Schema.StructWithRest(
+        Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),
+        [JsonObject],
+      ),
+    ),
+  }),
+  [JsonObject],
+)
 type AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>

 interface ParserState {
@@ -584,10 +601,7 @@ const serverToolResultType = (name: string): AnthropicServerToolResultType | und
  return undefined
 }

-const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult")(function* (
-  part: ToolResultPart,
-  providerMetadataKey: string,
-) {
+const lowerServerToolResult = Effect.fnUntraced(function* (part: ToolResultPart, providerMetadataKey: string) {
  const wireType = serverToolResultType(part.name)
  if (!wireType)
    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)
@@ -657,10 +671,7 @@ const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocume

 const isHttpUrl = (value: string) => /^https?:\/\//i.test(value.trim())

-const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (
-  part: MediaPart,
-  breakpoints?: Cache.Breakpoints,
-) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart, breakpoints?: Cache.Breakpoints) {
  const mime = part.media.mediaType.toLowerCase()
  const cacheControlValue = breakpoints ? cacheControl(breakpoints, part.cache) : undefined
  const fileId = fileIdFromMetadata(part.metadata)
@@ -804,9 +815,6 @@ const requireThinkingSignature = (request: LLMRequest) => {
  return true
 }

-// Mid-conversation system messages became available with Opus 4.8 and version
-// 5 of the other supported Claude families. Treat later family versions as
-// compatible without assuming that every Anthropic Messages model is Claude.
 // Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
 const supportsNativeSystemUpdates = (request: LLMRequest) => {
  const version = claudeVersion(String(request.model.id))
@@ -815,25 +823,9 @@ const supportsNativeSystemUpdates = (request: LLMRequest) => {
  return version.major >= 5
 }

-const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
-  const last = message.content.at(-1)
-  return message.role === "assistant" && last?.type === "tool-call" && last.providerExecuted === true
-}
-
-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" &&
-    (previous.role === "user" || previous.role === "tool" || endsInServerToolUse(previous)) &&
-    next?.role !== "system" &&
-    (next === undefined || next.role === "assistant")
-  )
-}
+// Native system messages must follow a user turn (tool results count) or a paused server-tool turn.
+const acceptsNativeSystemAfter = (message: AnthropicMessage | undefined) =>
+  message?.role === "user" || (message?.role === "assistant" && message.content.at(-1)?.type === "server_tool_use")

 const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number) => {
  const pending = new Set<string>()
@@ -847,7 +839,7 @@ const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number)
  return pending.size > 0
 }

-const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUpdate")(function* (
+const lowerNativeSystemUpdate = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  breakpoints: Cache.Breakpoints,
 ) {
@@ -862,12 +854,34 @@ const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUp
  }
 })

-const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
-  request: LLMRequest,
+const lowerWrappedSystemUpdate = Effect.fnUntraced(function* (
+  message: LLMRequest["messages"][number],
  breakpoints: Cache.Breakpoints,
 ) {
+  const part = yield* ProviderShared.wrappedSystemUpdate("Anthropic Messages", message)
+  return { type: "text" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }
+})
+
+const appendToUserTurn = (messages: AnthropicMessage[], block: AnthropicUserBlock) => {
+  const last = messages.at(-1)
+  if (last?.role === "user") messages[messages.length - 1] = { role: "user", content: [...last.content, block] }
+  else messages.push({ role: "user", content: [block] })
+}
+
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, breakpoints: Cache.Breakpoints) {
  const messages: AnthropicMessage[] = []
  const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
+  // Text updates stay where they are unless a user turn follows them; then they move after the latest
+  // user turn, the nearest spot where Anthropic accepts a native system message.
+  const holdUpdates = supportsNativeSystemUpdates(request)
+  const held: Array<LLMRequest["messages"][number]> = []
+  const releaseHeld = Effect.fnUntraced(function* () {
+    const native = acceptsNativeSystemAfter(messages.findLast((message) => message.role !== "system"))
+    for (const update of held.splice(0)) {
+      if (native) messages.push(yield* lowerNativeSystemUpdate(update, breakpoints))
+      else appendToUserTurn(messages, yield* lowerWrappedSystemUpdate(update, breakpoints))
+    }
+  })

  for (const [index, message] of request.messages.entries()) {
    if (message.role === "system") {
@@ -879,16 +893,8 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
      }
      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, index)) {
-        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))
-        continue
-      }
-      const part = yield* ProviderShared.wrappedSystemUpdate("Anthropic Messages", message)
-      const block = { type: "text" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }
-      const previous = messages.at(-1)
-      if (previous?.role === "user")
-        messages[messages.length - 1] = { role: "user", content: [...previous.content, block] }
-      else messages.push({ role: "user", content: [block] })
+      if (holdUpdates) held.push(message)
+      else appendToUserTurn(messages, yield* lowerWrappedSystemUpdate(message, breakpoints))
      continue
    }

@@ -964,7 +970,9 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,
        )
      }
-      if (content.length > 0) messages.push({ role: "assistant", content })
+      if (content.length === 0) continue
+      yield* releaseHeld()
+      messages.push({ role: "assistant", content })
      continue
    }

@@ -985,10 +993,14 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...content] }
    else messages.push({ role: "user", content })
  }
+  yield* releaseHeld()

  return messages
 })

+// TODO: Move per-model capability heuristics (`supportsEffortUpdates`, `supportsNativeSystemUpdates`,
+// `supportsThinkingBlockBinding`) into explicit model/provider `compatibility` metadata so the protocol
+// only reads `request.model.compatibility`.
 // Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
 const supportsEffortUpdates = (model: LLMRequest["model"]) => {
  const override = model.compatibility?.supportsEffortUpdates
@@ -1300,7 +1312,7 @@ const onContentBlockStart = (
  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]
 }

-const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(function* (
+const onContentBlockDelta = Effect.fnUntraced(function* (
  state: ParserState,
  event: AnthropicEvent & { readonly delta: AnthropicStreamDelta },
 ) {
@@ -1368,7 +1380,7 @@ const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(f
  return [state, NO_EVENTS] satisfies StepResult
 })

-const onContentBlockStop = Effect.fn("AnthropicMessages.onContentBlockStop")(function* (
+const onContentBlockStop = Effect.fnUntraced(function* (
  state: ParserState,
  event: AnthropicEvent,
 ) {
@@ -1439,7 +1451,7 @@ const onMessageDelta = (
  ]
 }

-const onMessageStop = Effect.fn("AnthropicMessages.onMessageStop")(function* (state: ParserState) {
+const onMessageStop = Effect.fnUntraced(function* (state: ParserState) {
  if (Object.keys(state.compactions).length)
    return yield* ProviderShared.eventError(ADAPTER, "Response ended with an incomplete compaction block")
  const result = yield* ToolStream.finishAll(ADAPTER, state.tools)
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../generation.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,4 @@
-import { Effect, Schema } from "effect"
-import { Base64 } from "effect/encoding"
+import { Effect, Encoding, Schema } from "effect"
 import { Route } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
@@ -286,7 +285,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  },
 })

-const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent")(function* (
+const lowerToolResultContent = Effect.fnUntraced(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
 ) {
@@ -306,7 +305,7 @@ const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent
  return content
 })

-const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
+const lowerToolResult = Effect.fnUntraced(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
  normalizeID: (id: string) => string,
@@ -323,7 +322,7 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
 // Keep Claude and Nova tool-result images inline; put other models' images beside the result.
 const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")

-const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
  request: LLMRequest,
  breakpoints: BedrockCache.Breakpoints,
 ) {
@@ -611,7 +610,7 @@ interface ParserState {
  readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
 }

-const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Base64.encode(concatBytes(chunks))
+const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Encoding.encodeBase64(concatBytes(chunks))

 const step = (state: ParserState, event: BedrockEvent) =>
  Effect.gen(function* () {
@@ -660,7 +659,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
      const events: LLMEvent[] = []
      const redactedChunk = yield* (() => {
        if (reasoning.redactedContent === undefined) return Effect.succeed(undefined)
-        return Effect.fromResult(Base64.decode(reasoning.redactedContent)).pipe(
+        return Effect.fromResult(Encoding.decodeBase64(reasoning.redactedContent)).pipe(
          Effect.mapError((cause) =>
            ProviderShared.eventError(
              ADAPTER,
@@ -1,7 +1,6 @@
 import { EventStreamCodec } from "@smithy/eventstream-codec"
 import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
-import { Effect, Stream } from "effect"
-import { Base64 } from "effect/encoding"
+import { Effect, Encoding, Stream } from "effect"
 import { AIError, AIErrorReason, InvalidProviderOutputError } from "../schema/index.js"
 import { Framing } from "../route/framing.js"
 import { ProviderShared } from "./shared.js"
@@ -48,7 +47,7 @@ const consumeFrames = (route: string) => (state: FrameBufferState, input: FrameI
            route,
            classification: "incomplete-stream",
            message: `Incomplete Bedrock Converse event-stream frame: ${remaining.length} buffered bytes remain at end of stream`,
-            body: Base64.encode(remaining),
+            body: Encoding.encodeBase64(remaining),
          }),
        })
      return [state, []] as const
@@ -69,7 +68,7 @@ const consumeFrames = (route: string) => (state: FrameBufferState, input: FrameI
            `Failed to decode Bedrock Converse event-stream frame: ${
              error instanceof Error ? error.message : String(error)
            }`,
-            Base64.encode(view.subarray(0, totalLength)),
+            Encoding.encodeBase64(view.subarray(0, totalLength)),
            error,
          ),
      })
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../generation.js"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
@@ -75,7 +75,7 @@ const usesSse = (request: MediaProtocol.Addressed<Request>) => request.mode ===

 const CONTAINERS: Readonly<Record<string, "raw" | "wav" | "mp3">> = { pcm: "raw", wav: "wav", mp3: "mp3" }

-const outputFormat = Effect.fn("CartesiaSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fnUntraced(function* (request: MediaProtocol.Addressed<Request>) {
  const sse = usesSse(request)
  const format = request.format ?? (sse ? "pcm" : "mp3")
  const container = CONTAINERS[format]
@@ -121,7 +121,7 @@ const fromRequest = Effect.fn("CartesiaSpeech.fromRequest")(function* (request:
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const onEvent = Effect.fn("CartesiaSpeech.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  if (event.type === "chunk" && event.data !== undefined) return SpeechStream.delta(state, event.data)
  if (event.type === "timestamps" && event.word_timestamps !== undefined) {
@@ -140,7 +140,7 @@ const onEvent = Effect.fn("CartesiaSpeech.onEvent")(function* (state: State, fra
  return [state, []] as const
 })

-const finish = Effect.fn("CartesiaSpeech.finish")(function* (
+const finish = Effect.fnUntraced(function* (
  state: State,
  context: MediaProtocol.ResponseContext<Request>,
 ) {
@@ -252,7 +252,7 @@ const mapUsage = (usage: typeof NativeUsage.Type) =>
  })

 // Lifecycle deltas open blocks on demand and ends are no-ops for closed blocks, so content-start needs no handling.
-const step = Effect.fn("CohereChat.step")(function* (state: State, event: Event) {
+const step = Effect.fnUntraced(function* (state: State, event: Event) {
  const events: LLMEvent[] = []
  switch (event.type) {
    case "message-start":
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
 import { mergeJsonRecords, type OpenString } from "../schema/index.js"
@@ -95,7 +95,7 @@ const OUTPUT_FORMATS: Readonly<Record<string, string>> = {
 }

 /** WAV is served only by the non-streaming endpoints. */
-const outputFormat = Effect.fn("ElevenLabsSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fnUntraced(function* (request: MediaProtocol.Addressed<Request>) {
  const format = request.providerOptions?.outputFormat ?? OUTPUT_FORMATS[request.format ?? "mp3"]
  if (format === undefined)
    return yield* route.unsupported(
@@ -138,7 +138,7 @@ const path = (request: MediaProtocol.Addressed<Request>) =>
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const onRecord = Effect.fn("ElevenLabsSpeech.onRecord")(function* (state: State, frame: string) {
+const onRecord = Effect.fnUntraced(function* (state: State, frame: string) {
  const record = yield* decodeRecord(frame)
  const [next, events] = SpeechStream.delta(state, record.audio_base64)
  const alignment = record.alignment
@@ -169,7 +169,7 @@ const describeOutput = (format: string) => {
  return encoding === undefined ? SpeechStream.container(codec, sampleRate) : SpeechStream.pcm(encoding, sampleRate)
 }

-const finish = Effect.fn("ElevenLabsSpeech.finish")(function* (
+const finish = Effect.fnUntraced(function* (
  state: State,
  context: MediaProtocol.ResponseContext<Request>,
 ) {
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
 import { mergeJsonRecords, type OpenString } from "../schema/index.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -283,7 +283,7 @@ const lowerToolConfig = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
    tool: (name) => ({ functionCallingConfig: { mode: "ANY" as const, allowedFunctionNames: [name] } }),
  })

-const lowerContentPart = Effect.fn("Gemini.lowerContentPart")(function* (part: TextPart | MediaPart) {
+const lowerContentPart = Effect.fnUntraced(function* (part: TextPart | MediaPart) {
  if (part.type === "text") return { text: part.text }
  return yield* GeminiGenerateContent.mediaPart("Gemini", part.media)
 })
@@ -302,7 +302,7 @@ const lowerToolCall = (part: ToolCallPart, omitIds: boolean, metadataKey: string
  thoughtSignature: thoughtSignature(part.providerMetadata, metadataKey),
 })

-const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
  const contents: GeminiContent[] = []
  const metadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
  const omitCallIds = omitsFunctionCallIds(request.model.id)
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -182,7 +182,7 @@ type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]
 // =============================================================================
 // Request Body Construction
 // =============================================================================
-const mediaContent = Effect.fn("GoogleInteractions.mediaContent")(function* (asset: Media.Asset) {
+const mediaContent = Effect.fnUntraced(function* (asset: Media.Asset) {
  if (
    asset.kind !== "image" &&
    asset.kind !== "audio" &&
@@ -208,7 +208,7 @@ const signature = (metadata: ProviderMetadata | undefined, key: string) => {
    : undefined
 }

-const lowerMessages = Effect.fn("GoogleInteractions.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
  const steps: InputStep[] = []
  const key = request.model.route.providerMetadataKey ?? String(request.model.provider)
  for (const message of request.messages) {
@@ -275,7 +275,7 @@ const lowerMessages = Effect.fn("GoogleInteractions.lowerMessages")(function* (r
  return steps
 })

-const lowerToolResult = Effect.fn("GoogleInteractions.lowerToolResult")(function* (part: ToolResultPart) {
+const lowerToolResult = Effect.fnUntraced(function* (part: ToolResultPart) {
  if (part.result.type === "json" && ProviderShared.isRecord(part.result.value)) return part.result.value
  if (part.result.type !== "content") return ProviderShared.toolResultText(part)

@@ -364,7 +364,7 @@ const mapUsage = (usage: RawUsage | undefined, key: string) => {
  })
 }

-const onStart = Effect.fn("GoogleInteractions.onStart")(function* (
+const onStart = Effect.fnUntraced(function* (
  state: ParserState,
  index: number,
  step: OutputStep,
@@ -402,7 +402,7 @@ const onStart = Effect.fn("GoogleInteractions.onStart")(function* (
  return [{ ...state, lifecycle, tools, steps: { ...state.steps, [index]: step } }, events] satisfies StepResult
 })

-const onDelta = Effect.fn("GoogleInteractions.onDelta")(function* (
+const onDelta = Effect.fnUntraced(function* (
  state: ParserState,
  index: number,
  delta: typeof Delta.Type,
@@ -447,7 +447,7 @@ const onDelta = Effect.fn("GoogleInteractions.onDelta")(function* (
  return yield* ProviderShared.eventError(ADAPTER, `Unsupported Interactions delta: ${delta.type}`, encodeJson(delta))
 })

-const onStop = Effect.fn("GoogleInteractions.onStop")(function* (state: ParserState, index: number) {
+const onStop = Effect.fnUntraced(function* (state: ParserState, index: number) {
  const step = state.steps[index]
  if (!step) return yield* ProviderShared.eventError(ADAPTER, "Interactions step.stop without step.start")
  const events: LLMEvent[] = []
@@ -465,7 +465,7 @@ const onStop = Effect.fn("GoogleInteractions.onStop")(function* (state: ParserSt
  return [{ ...state, tools: result.tools }, result.events ?? []] satisfies StepResult
 })

-const step = Effect.fn("GoogleInteractions.step")(function* (state: ParserState, event: Event) {
+const step = Effect.fnUntraced(function* (state: ParserState, event: Event) {
  switch (event.event_type) {
    case "step.start":
      return yield* onStart(state, event.index, event.step)
@@ -94,7 +94,7 @@ const fromRequest = Effect.fn("GoogleSpeech.fromRequest")(function* (request: Me
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const step = Effect.fn("GoogleSpeech.step")(function* (state: State, frame: string) {
+const step = Effect.fnUntraced(function* (state: State, frame: string) {
  const chunk = yield* decodeChunk(frame)
  const blocked = GeminiGenerateContent.blocked(route.name, chunk, frame)
  if (blocked !== undefined) return yield* blocked
@@ -138,7 +138,7 @@ const turn = (part: Schema.Schema.Type<typeof AudioTranscription>) => {
  }
 }

-const step = Effect.fn("GoogleTranscription.step")(function* (state: State, frame: string) {
+const step = Effect.fnUntraced(function* (state: State, frame: string) {
  const chunk = yield* decodeChunk(frame)
  const blocked = GeminiGenerateContent.blocked(route.name, chunk, frame)
  if (blocked !== undefined) return yield* blocked
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../generation.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,4 @@
-import { Effect, Schema } from "effect"
-import { Base64 } from "effect/encoding"
+import { Effect, Encoding, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
 import { LLMEvent, LLMRequest, Message, ToolResultPart } from "../schema/index.js"
 import { OpenResponses } from "./open-responses.js"
@@ -96,7 +95,7 @@ const HOSTED_TOOLS = {
  image_generation_call: {
    name: "image_generation",
    input: () => ({}),
-    result: Effect.fn("MetaResponses.imageResult")(function* (raw: ResponsesHostedTools.Item) {
+    result: Effect.fnUntraced(function* (raw: ResponsesHostedTools.Item) {
      const item = yield* Schema.decodeUnknownEffect(ImageItem)(raw).pipe(
        Effect.mapError((cause) =>
          ProviderShared.eventError(
@@ -114,7 +113,7 @@ const HOSTED_TOOLS = {
          "Meta returned an image without data",
          ProviderShared.encodeJson(raw),
        )
-      const data = yield* Effect.fromResult(Base64.decode(item.result)).pipe(
+      const data = yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
        Effect.mapError((cause) =>
          ProviderShared.eventError(
            ADAPTER,
@@ -137,7 +136,7 @@ const HOSTED_TOOLS = {
  },
 } satisfies ResponsesHostedTools.Definitions

-const onEvent = Effect.fn("MetaResponses.onEvent")(function* (
+const onEvent = Effect.fnUntraced(function* (
  state: OpenResponses.ParserState,
  input: OpenResponses.Event,
 ) {
@@ -174,7 +173,7 @@ const onEvent = Effect.fn("MetaResponses.onEvent")(function* (
  ] satisfies OpenResponses.StepResult
 })

-const step = Effect.fn("MetaResponses.step")(function* (state: ParserState, input: OpenResponses.Event) {
+const step = Effect.fnUntraced(function* (state: ParserState, input: OpenResponses.Event) {
  const completedItems = new Set(state.completedItems)
  const event = OpenResponses.normalize(state, input)
  if (event.type === "response.output_item.done" && event.item && completedItems.has(event.item.id))
@@ -226,7 +226,7 @@ const MistralEvent = Schema.StructWithRest(
 type MistralEvent = Schema.Schema.Type<typeof MistralEvent>
 const MistralStreamEvent = Schema.Union([Schema.Literal(DONE), Protocol.jsonEvent(MistralEvent)])

-const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPart) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
  const mime = part.media.mediaType.toLowerCase()
  const url =
    ProviderShared.mediaUrl(part.media) ??
@@ -236,7 +236,7 @@ const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPar
  return yield* ProviderShared.invalidRequest(`Mistral Chat does not support media type ${part.media.mediaType}`)
 })

-const lowerUser = Effect.fn("MistralChat.lowerUser")(function* (message: LLMRequest["messages"][number]) {
+const lowerUser = Effect.fnUntraced(function* (message: LLMRequest["messages"][number]) {
  const content: MistralUserContent[] = []
  for (const part of message.content) {
    if (part.type === "text") {
@@ -260,7 +260,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  function: { name: part.name, arguments: ProviderShared.encodeJson(part.input) },
 })

-const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
+const lowerAssistant = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  normalizeID: (id: string) => string,
  prefix: boolean,
@@ -298,7 +298,7 @@ const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
  }
 })

-const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
+const lowerToolResults = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  normalizeID: (id: string) => string,
 ) {
@@ -335,7 +335,7 @@ const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
  return output
 })

-const lowerMessages = Effect.fn("MistralChat.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
  const normalizeID = MistralToolID.normalizer(request)
  const messages: MistralMessage[] =
    request.system.length === 0
@@ -596,7 +596,7 @@ const toolText = (tool: MistralToolDelta) => {
  return value === null || value === undefined ? "" : ProviderShared.encodeJson(value)
 }

-const appendTools = Effect.fn("MistralChat.appendTools")(function* (
+const appendTools = Effect.fnUntraced(function* (
  initial: ParserState,
  events: LLMEvent[],
  deltas: ReadonlyArray<MistralToolDelta>,
@@ -662,7 +662,7 @@ const hasLateContent = (event: MistralEvent) => {
  )
 }

-const step = Effect.fn("MistralChat.step")(function* (state: ParserState, event: MistralEvent) {
+const step = Effect.fnUntraced(function* (state: ParserState, event: MistralEvent) {
  if (event.error) {
    const body = ProviderShared.encodeJson(event)
    return yield* new AIError({
@@ -726,7 +726,7 @@ const step = Effect.fn("MistralChat.step")(function* (state: ParserState, event:
  ] as const
 })

-const finishEvents = Effect.fn("MistralChat.finishEvents")(function* (state: ParserState) {
+const finishEvents = Effect.fnUntraced(function* (state: ParserState) {
  if (!state.finishReason)
    return yield* new AIError({
      reason: new InvalidProviderOutputError({
@@ -1,5 +1,5 @@
 import { Effect, Schema, Stream } from "effect"
-import { Headers } from "effect/http"
+import { Headers } from "effect/unstable/http"
 import { Framing } from "../route/framing.js"
 import type { HttpContext } from "../schema/index.js"
 import {
@@ -301,18 +301,26 @@ export const OpenResponsesBody = Schema.Struct({
 })
 export type OpenResponsesBody = Schema.Schema.Type<typeof OpenResponsesBody>

-export const OpenResponsesUsage = Schema.Struct({
-  input_tokens: Schema.optional(Schema.Number),
-  input_tokens_details: optionalNull(
-    Schema.Struct({
-      cached_tokens: Schema.optional(Schema.Number),
-      cache_write_tokens: Schema.optional(Schema.Number),
-    }),
-  ),
-  output_tokens: Schema.optional(Schema.Number),
-  output_tokens_details: optionalNull(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) })),
-  total_tokens: Schema.optional(Schema.Number),
-})
+export const OpenResponsesUsage = Schema.StructWithRest(
+  Schema.Struct({
+    input_tokens: Schema.optional(Schema.Number),
+    input_tokens_details: optionalNull(
+      Schema.StructWithRest(
+        Schema.Struct({
+          cached_tokens: Schema.optional(Schema.Number),
+          cache_write_tokens: Schema.optional(Schema.Number),
+        }),
+        [JsonObject],
+      ),
+    ),
+    output_tokens: Schema.optional(Schema.Number),
+    output_tokens_details: optionalNull(
+      Schema.StructWithRest(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) }), [JsonObject]),
+    ),
+    total_tokens: Schema.optional(Schema.Number),
+  }),
+  [JsonObject],
+)
 type OpenResponsesUsage = Schema.Schema.Type<typeof OpenResponsesUsage>

 // The spec requires `id` on every output item, but some gateways drop it from
@@ -442,7 +450,7 @@ interface ReasoningStreamItem {
 // =============================================================================
 // Request Lowering
 // =============================================================================
-export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (protocolName: string, tool: ToolDefinition) {
+export const lowerTool = Effect.fnUntraced(function* (protocolName: string, tool: ToolDefinition) {
  if (tool.native !== undefined)
    return yield* ProviderShared.invalidRequest(`${protocolName} does not support provider-native tool ${tool.name}`)
  return {
@@ -507,7 +515,10 @@ const lowerReasoning = (part: ReasoningPart, providerMetadataKey: string): OpenR
  }
 }

-const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
+const decodeImageDetail = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))
+const decodeMessageMetadata = ProviderShared.validateWith(Schema.decodeUnknownEffect(MessageMetadata))
+
+const lowerMedia = Effect.fnUntraced(function* (
  part: MediaPart,
  request: LLMRequest,
  adapter: ProviderAdapter,
@@ -516,9 +527,8 @@ const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
  const media = part.media.inline()
  const providerMedia = adapter.lowerMedia?.({ part, media, request })
  if (providerMedia) return providerMedia
-  const detail = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))(
-    part.providerMetadata?.[metadataKey(request.model)]?.detail,
-  )
+  const rawDetail = part.providerMetadata?.[metadataKey(request.model)]?.detail
+  const detail = rawDetail === undefined ? undefined : yield* decodeImageDetail(rawDetail)
  const mime = part.media.mediaType.toLowerCase()
  const url = ProviderShared.mediaUrl(part.media)
  const location = url ?? (yield* ProviderShared.requireInlineMedia(adapter.name, part.media)).dataUrl
@@ -591,7 +601,7 @@ const lowerToolResultOutput = Effect.fnUntraced(function* (

 const DEFAULT_EFFORT = "medium"

-const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
@@ -599,9 +609,8 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
  const providerMetadataKey = metadataKey(request.model)

  for (const message of request.messages) {
-    const metadata = yield* ProviderShared.validateWith(
-      Schema.decodeUnknownEffect(Schema.UndefinedOr(MessageMetadata)),
-    )(message.providerMetadata?.[providerMetadataKey])
+    const rawMetadata = message.providerMetadata?.[providerMetadataKey]
+    const metadata = rawMetadata === undefined ? undefined : yield* decodeMessageMetadata(rawMetadata)
    if (message.role === "system") {
      const update = effortUpdate(message)
      if (update) {
@@ -755,7 +764,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
  return input
 })

-export const lowerConversation = Effect.fn("OpenResponses.lowerConversation")(function* (
+export const lowerConversation = Effect.fnUntraced(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
@@ -1142,7 +1151,7 @@ const onReasoningSummaryPartDone = (state: ParserState, event: Event): StepResul
  ]
 }

-const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgumentsDelta")(function* (
+const onFunctionCallArgumentsDelta = Effect.fnUntraced(function* (
  state: ParserState,
  event: Event,
 ) {
@@ -1173,7 +1182,7 @@ const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgu
  return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult
 })

-const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
+const onOutputItemDone = Effect.fnUntraced(function* (
  state: ParserState,
  item: NormalizedEvent["item"],
 ) {
@@ -1309,7 +1318,7 @@ const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
  return [state, NO_EVENTS] satisfies StepResult
 })

-const onResponseFinish = Effect.fn("OpenResponses.onResponseFinish")(function* (state: ParserState, event: Event) {
+const onResponseFinish = Effect.fnUntraced(function* (state: ParserState, event: Event) {
  let current = state
  const events: LLMEvent[] = []
  if (event.type === "response.completed") {
@@ -65,7 +65,7 @@ const ExtraContent = Schema.Struct({
 })
 const decodeExtraContent = (value: unknown) => Option.getOrUndefined(Schema.decodeUnknownOption(ExtraContent)(value))

-const OpenAIChatAssistantToolCall = Schema.Struct({
+export const OpenAIChatAssistantToolCall = Schema.Struct({
  id: Schema.String,
  type: Schema.tag("function"),
  function: Schema.Struct({
@@ -134,7 +134,7 @@ const OpenAIChatUserContent = Schema.Union([
 ])
 type OpenAIChatUserContent = Schema.Schema.Type<typeof OpenAIChatUserContent>

-const OpenAIChatMessage = Schema.Union([
+export const OpenAIChatMessage = Schema.Union([
  Schema.Struct({
    role: Schema.Literal("system"),
    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),
@@ -200,7 +200,7 @@ export type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>
 // The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the
 // byte stream into strings, then `Protocol.jsonEvent` decodes each string into
 // this provider-native event shape.
-const OpenAIChatUsage = Schema.StructWithRest(
+export const OpenAIChatUsage = Schema.StructWithRest(
  Schema.Struct({
    prompt_tokens: optionalNull(Schema.Number),
    completion_tokens: optionalNull(Schema.Number),
@@ -238,7 +238,7 @@ const OpenAIChatToolCallDeltaFunction = Schema.Struct({
  arguments: optionalNull(Schema.String),
 })

-const OpenAIChatToolCallDelta = Schema.Struct({
+export const OpenAIChatToolCallDelta = Schema.Struct({
  index: optionalNull(Schema.Number),
  id: optionalNull(Schema.String),
  function: optionalNull(OpenAIChatToolCallDeltaFunction),
@@ -246,7 +246,7 @@ const OpenAIChatToolCallDelta = Schema.Struct({
 })
 type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>

-const OpenAIChatDelta = Schema.StructWithRest(
+export const OpenAIChatDelta = Schema.StructWithRest(
  Schema.Struct({
    content: optionalNull(Schema.String),
    refusal: optionalNull(Schema.String),
@@ -259,7 +259,7 @@ const OpenAIChatDelta = Schema.StructWithRest(
  [Schema.Record(Schema.String, Schema.Unknown)],
 )

-const OpenAIChatChoice = Schema.StructWithRest(
+export const OpenAIChatChoice = Schema.StructWithRest(
  Schema.Struct({
    delta: optionalNull(OpenAIChatDelta),
    finish_reason: optionalNull(Schema.String),
@@ -326,6 +326,8 @@ export interface ParserState {
 interface LoweringOptions {
  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
  readonly toolCallID?: (id: string) => string
+  /** Project provider-specific fields from the exact source, even when other messages are dropped during lowering. */
+  readonly assistant?: (source: LLMRequest["messages"][number], message: OpenAIChatMessage) => OpenAIChatMessage
 }

 const lowerTool = (tool: ToolDefinition, options: LoweringOptions, supportsStrictMode: boolean): OpenAIChatTool => ({
@@ -360,7 +362,7 @@ const lowerToolCall = (
  extra_content: decodeExtraContent(part.providerMetadata?.[options.providerMetadataKey]?.extraContent),
 })

-const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
  // Chat Completions accepts PDFs, and no other documents, as inline `file` parts; file URLs are not supported.
  if (part.media.mediaType.toLowerCase() === "application/pdf")
    return {
@@ -406,7 +408,7 @@ const lowerReasoningDetail = (detail: ReasoningDetail) => {

 const isKimiDetail = (detail: { readonly type: string }) => detail.type === "summary" || detail.type === "encrypted"

-const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
+const lowerUserMessage = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
@@ -430,7 +432,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  return { role: "user" as const, content }
 })

-const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
+const lowerAssistantMessage = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  configuredField: string | undefined,
  requireReasoning: boolean,
@@ -495,7 +497,7 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
  return { ...result, [field]: reasoningText }
 })

-const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
+const lowerToolMessages = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
@@ -532,19 +534,21 @@ const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatC
  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
 })

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

-const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request: LLMRequest, options: LoweringOptions) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, options: LoweringOptions) {
  const system: OpenAIChatMessage[] =
    request.system.length === 0
      ? []
@@ -855,7 +859,7 @@ export const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (
 // Streaming parsers are small state machines: every event returns a new state
 // plus the common `LLMEvent`s produced by that event. Tool calls are accumulated
 // because OpenAI streams JSON arguments across multiple deltas.
-const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event: OpenAIChatEvent, reason: string) {
+const mapFinishReason = Effect.fnUntraced(function* (event: OpenAIChatEvent, reason: string) {
  switch (reason) {
    case "error":
      return yield* new AIError({
@@ -1214,7 +1218,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
    ] as const
  })

-const finishEvents = Effect.fn("OpenAIChat.finishEvents")(function* (state: ParserState) {
+export const finishEvents = Effect.fnUntraced(function* (state: ParserState) {
  if (state.finishReason === undefined && state.requireFinishReason)
    return yield* new AIError({
      reason: new InvalidProviderOutputError({
@@ -208,7 +208,7 @@ const eventImage = (frame: string, label: string, data: string, format: string,
    info: info(format, size),
  })

-const onEvent = Effect.fn("OpenAIImages.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  const format = event.output_format
  if ("partial_image_index" in event) {
@@ -229,7 +229,7 @@ const onEvent = Effect.fn("OpenAIImages.onEvent")(function* (state: State, frame
  ] as const
 })

-const onDocument = Effect.fn("OpenAIImages.onDocument")(function* (frame: Exclude<Frame, string>) {
+const onDocument = Effect.fnUntraced(function* (frame: Exclude<Frame, string>) {
  const invalid = (message: string, cause?: unknown) => route.frameError(message, frame.document, cause)
  const decoded = yield* decodeDocument(frame.document).pipe(
    Effect.mapError((cause) => invalid(`${route.name} returned an invalid response`, cause)),
@@ -1,6 +1,5 @@
-import { Effect, Schema } from "effect"
-import { Base64 } from "effect/encoding"
-import { Headers } from "effect/http"
+import { Effect, Encoding, Schema } from "effect"
+import { Headers } from "effect/unstable/http"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"
@@ -158,7 +157,7 @@ const nativeImageTool = (tool: ToolDefinition) => {
  return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined
 }

-const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDefinition) {
+const lowerTool = Effect.fnUntraced(function* (tool: ToolDefinition) {
  const native = nativeImageToolInput(tool)
  if (native !== undefined) {
    if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native
@@ -169,7 +168,7 @@ const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDe

 // Native namespaces hold only function tools, so deeper levels flatten into
 // the leaf names the same way non-native protocols flatten the whole tree.
-const lowerToolEntry = Effect.fn("OpenAIResponses.lowerToolEntry")(function* (tool: ToolEntry) {
+const lowerToolEntry = Effect.fnUntraced(function* (tool: ToolEntry) {
  if (tool.type === "tool") return yield* lowerTool(tool)
  // OpenAI requires a namespace description; fall back to a generic one so a
  // missing description never blocks the request.
@@ -238,10 +237,10 @@ const checkpointBody = {
  }),
 }

-const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (item: ResponsesHostedTools.Item) {
+const hostedToolResult = Effect.fnUntraced(function* (item: ResponsesHostedTools.Item) {
  const isError = item.error !== undefined && item.error !== null
  if (item.type === "image_generation_call" && item.result) {
-    yield* Effect.fromResult(Base64.decode(item.result)).pipe(
+    yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
      Effect.mapError((cause) =>
        ProviderShared.eventError(ADAPTER, "OpenAI Responses returned invalid image base64", undefined, cause),
      ),
@@ -94,7 +94,7 @@ const fromRequest = Effect.fn("OpenAISpeech.fromRequest")(function* (request: Me

 const isSse = (body: MediaProtocol.Body) => body.type === "json" && body.value.stream_format === "sse"

-const onEvent = Effect.fn("OpenAISpeech.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  if (event.type === "speech.audio.delta") return SpeechStream.delta(state, event.audio)
  const usage = event.usage
@@ -210,7 +210,7 @@ const segment = (value: Schema.Schema.Type<typeof Segment>): TranscriptionSegmen
  speaker: value.speaker,
 })

-const onEvent = Effect.fn("OpenAITranscription.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  if (!EVENT_TYPES.has((yield* decodeEventType(frame)).type)) return [state, []] as const
  const event = yield* decodeEvent(frame)
  if (event.type === "error")
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../generation.js"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../generation.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,6 +1,6 @@
 import { Tool } from "@opencode/schema/tool"
 import { Effect, Option, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/http"
+import { Headers, HttpClientRequest } from "effect/unstable/http"
 import { Media } from "../media.js"
 import {
  InvalidProviderOutputError,
@@ -154,7 +154,7 @@ export const wrapSystemUpdate = (parts: ReadonlyArray<{ readonly text: string }>
 * raw retrieved, tool, or web content into privileged updates: keep untrusted
 * data in ordinary user/tool messages instead.
 */
-export const systemUpdateText = Effect.fn("ProviderShared.systemUpdateText")(function* (
+export const systemUpdateText = Effect.fnUntraced(function* (
  route: string,
  message: LLMRequest["messages"][number],
 ) {
@@ -167,7 +167,7 @@ export const systemUpdateText = Effect.fn("ProviderShared.systemUpdateText")(fun
 })

 /** Lower an unsupported privileged update into visible, in-order user text. */
-export const wrappedSystemUpdate = Effect.fn("ProviderShared.wrappedSystemUpdate")(function* (
+export const wrappedSystemUpdate = Effect.fnUntraced(function* (
  route: string,
  message: LLMRequest["messages"][number],
 ) {
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -82,7 +82,7 @@ const endpoint = (model: string) => (model.startsWith("sd3") ? "sd3" : model)

 const RESERVED_FORM_FIELDS = new Set(["image", "prompt", "mode", "model"])

-const form = Effect.fn("StabilityImages.form")(function* (
+const form = Effect.fnUntraced(function* (
  identity: MediaProtocol.Identity,
  fields: Record<string, unknown>,
  native: Record<string, unknown> | undefined,
@@ -1,6 +1,6 @@
 import { AwsV4Signer } from "aws4fetch"
 import { Effect } from "effect"
-import { Headers } from "effect/http"
+import { Headers } from "effect/unstable/http"
 import { Auth, type AuthInput } from "../../route/auth.js"
 import { AIError, AuthenticationError } from "../../schema/index.js"
 import { ProviderShared } from "../shared.js"
@@ -1,5 +1,4 @@
-import { Effect, Schema } from "effect"
-import { Base64 } from "effect/encoding"
+import { Effect, Encoding, Schema } from "effect"
 import type { MediaPart } from "../../schema/index.js"
 import { ProviderShared } from "../shared.js"

@@ -77,14 +76,14 @@ function documentName(filename: string | undefined, names: Set<string>) {
  return name
 }

-const mediaBase64 = Effect.fn("BedrockMedia.mediaBase64")(function* (part: MediaPart) {
+const mediaBase64 = Effect.fnUntraced(function* (part: MediaPart) {
  const media = yield* ProviderShared.requireInlineMedia("Bedrock Converse", part.media)
-  const bytes = yield* Effect.fromResult(Base64.decode(media.base64)).pipe(
+  const bytes = yield* Effect.fromResult(Encoding.decodeBase64(media.base64)).pipe(
    Effect.mapError((cause) =>
      ProviderShared.invalidRequest("Bedrock Converse media data must be valid base64", cause),
    ),
  )
-  return Base64.encode(bytes)
+  return Encoding.encodeBase64(bytes)
 })

 // Route by MIME. Known image/document formats lower into a typed block; anything
@@ -92,7 +91,7 @@ const mediaBase64 = Effect.fn("BedrockMedia.mediaBase64")(function* (part: Media
 // document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)
 // get an image-specific error so the caller knows it's a format-support issue,
 // not a kind-detection issue.
-export const lower = Effect.fn("BedrockMedia.lower")(function* (part: MediaPart, documentNames: Set<string>) {
+export const lower = Effect.fnUntraced(function* (part: MediaPart, documentNames: Set<string>) {
  const mime = part.media.mediaType.toLowerCase()
  const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]
  if (imageFormat) {
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../../generation.js"
 import type { Media } from "../../media.js"
 import { MediaProtocol } from "../../route/media-protocol.js"
@@ -1,5 +1,4 @@
-import { Effect } from "effect"
-import { Base64 } from "effect/encoding"
+import { Effect, Encoding } from "effect"
 import { Media } from "../../media.js"
 import type { MediaProtocol } from "../../route/media-protocol.js"
 import { mergeJsonRecords, type AIError, type ProviderID } from "../../schema/index.js"
@@ -11,7 +10,7 @@ export const inlineBytes = (route: string, asset: Media.Asset): Effect.Effect<Ui
  if (asset.source.type === "bytes") return Effect.succeed(asset.source.data)
  const inline = asset.inline()
  if (!inline) return Effect.fail(ProviderShared.inlineRequired(route, asset))
-  return Effect.fromResult(Base64.decode(inline.base64)).pipe(
+  return Effect.fromResult(Encoding.decodeBase64(inline.base64)).pipe(
    Effect.mapError((cause) => ProviderShared.invalidRequest(`${route} media contains invalid base64 data`, cause)),
  )
 }
@@ -53,7 +52,7 @@ export const decodedAsset = (
  mediaType: string | undefined,
  options?: Media.AssetOptions,
 ) =>
-  Effect.fromResult(Base64.decode(data)).pipe(
+  Effect.fromResult(Encoding.decodeBase64(data)).pipe(
    Effect.mapError((cause) => invalid(`${label} contains invalid base64 data`, cause)),
    Effect.map((bytes) => Media.bytes(bytes, mediaType, options)),
  )
@@ -11,7 +11,7 @@ interface State {
  readonly responseID?: string
 }

-const onOutputItem = Effect.fn("ResponsesCheckpoint.onOutputItem")(function* (
+const onOutputItem = Effect.fnUntraced(function* (
  state: State,
  input: OpenResponses.Event,
 ) {
@@ -63,7 +63,7 @@ export const make = <Body>(body: RouteBody<Body>): TriggerCompactOperation =>
          checkpoints: {},
        }),
        terminal: OpenResponses.terminal,
-        step: Effect.fn("ResponsesCheckpoint.step")(function* (state: State, event: OpenResponses.Event) {
+        step: Effect.fnUntraced(function* (state: State, event: OpenResponses.Event) {
          if (event.response?.id && state.responseID && event.response.id !== state.responseID)
            return yield* ProviderShared.eventError(source.id, "Compaction response ID changed during execution")
          if (event.type === "response.created") return [{ ...state, responseID: event.response?.id }, []] as const
@@ -33,7 +33,7 @@ export const onDone: (
  state: OpenResponses.ParserState,
  item: Item,
  tools: Definitions,
-) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(
+) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fnUntraced(
  function* (state, item, tools) {
    const tool = tools[item.type]
    if (!tool) return [state, []] satisfies OpenResponses.StepResult
@@ -60,14 +60,21 @@ const inputStart = (tool: PendingTool) =>
    providerMetadata: tool.providerMetadata,
  })

-const inputDelta = (tool: PendingTool, text: string) =>
-  LLMEvent.toolInputDelta({
-    id: tool.id,
-    name: tool.name,
-    namespace: tool.namespace,
-    text,
-    input: Option.getOrElse(parsePartialInput(tool.input), () => ({})),
-  })
+const inputDelta = (tool: PendingTool, text: string): LLMEvent => {
+  const raw = tool.input
+  let parsed: unknown
+  return {
+    ...LLMEvent.toolInputDelta({
+      id: tool.id,
+      name: tool.name,
+      namespace: tool.namespace,
+      text,
+    }),
+    get input() {
+      return (parsed ??= Option.getOrElse(parsePartialInput(raw), () => ({})))
+    },
+  }
+}

 const toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {
  const raw = inputOverride ?? tool.input
@@ -0,0 +1,374 @@
+import { Effect, Schema } from "effect"
+import { Protocol } from "../route/protocol.js"
+import { AIError, LLMEvent, type LanguageModelCompatibility, type LLMRequest } from "../schema/index.js"
+import { classifyProviderFailure } from "../provider-error.js"
+import { OpenAIChat } from "./openai-chat.js"
+import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"
+import { cacheControl } from "./utils/cache.js"
+
+// ---------------------------------------------------------------------------
+// Public options and request body
+// ---------------------------------------------------------------------------
+
+export type ReasoningEffort = "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max" | (string & {})
+
+const Parameters = Schema.Struct({
+  enableWebSearch: Schema.optional(Schema.String),
+  enableWebScraping: Schema.optional(Schema.Boolean),
+  enableWebCitations: Schema.optional(Schema.Boolean),
+  enableXSearch: Schema.optional(Schema.Boolean),
+  stripThinkingResponse: Schema.optional(Schema.Boolean),
+  disableThinking: Schema.optional(Schema.Boolean),
+  includeVeniceSystemPrompt: Schema.optional(Schema.Boolean),
+  characterSlug: Schema.optional(Schema.String),
+  includeSearchResultsInStream: Schema.optional(Schema.Boolean),
+  returnSearchResultsAsDocuments: Schema.optional(Schema.Boolean),
+})
+
+const Reasoning = Schema.Struct({
+  effort: Schema.optional(Schema.String),
+  enabled: Schema.optional(Schema.Boolean),
+  summary: Schema.optional(Schema.String),
+})
+
+export type OptionsInput = {
+  readonly reasoningEffort?: ReasoningEffort
+  readonly reasoning?: {
+    readonly effort?: ReasoningEffort
+    readonly enabled?: boolean
+    readonly summary?: "auto" | "concise" | "detailed" | (string & {})
+  }
+  readonly veniceParameters?: Omit<typeof Parameters.Type, "enableWebSearch"> & {
+    readonly enableWebSearch?: "off" | "on" | "auto" | (string & {})
+  }
+  readonly promptCacheKey?: string
+  readonly promptCacheRetention?: "default" | "extended" | "24h" | (string & {})
+  readonly parallelToolCalls?: boolean
+  readonly maxCompletionTokens?: number
+  readonly maxTokens?: number
+  readonly minP?: number
+  readonly repetitionPenalty?: number
+  readonly stopTokenIds?: readonly number[]
+  readonly logprobs?: boolean
+  readonly topLogprobs?: number
+  readonly maxTemp?: number
+  readonly minTemp?: number
+  readonly responseFormat?: Readonly<Record<string, unknown>>
+  readonly user?: string
+}
+
+const Options = Schema.Struct({
+  reasoningEffort: Schema.optional(Schema.String),
+  reasoning: Schema.optional(Reasoning),
+  veniceParameters: Schema.optional(Parameters),
+  promptCacheKey: Schema.optional(Schema.String),
+  promptCacheRetention: Schema.optional(Schema.String),
+  parallelToolCalls: Schema.optional(Schema.Boolean),
+  maxCompletionTokens: Schema.optional(Schema.Number),
+  maxTokens: Schema.optional(Schema.Number),
+  minP: Schema.optional(Schema.Number),
+  repetitionPenalty: Schema.optional(Schema.Number),
+  stopTokenIds: Schema.optional(Schema.Array(Schema.Number)),
+  logprobs: Schema.optional(Schema.Boolean),
+  topLogprobs: Schema.optional(Schema.Number),
+  maxTemp: Schema.optional(Schema.Number),
+  minTemp: Schema.optional(Schema.Number),
+  responseFormat: Schema.optional(JsonObject),
+  user: Schema.optional(Schema.String),
+})
+
+const ToolCall = Schema.Struct({
+  ...OpenAIChat.OpenAIChatAssistantToolCall.fields,
+  thought_signature: Schema.optional(Schema.String),
+})
+const Assistant = Schema.StructWithRest(
+  Schema.Struct({
+    ...OpenAIChat.OpenAIChatMessage.cases.assistant.schema.fields,
+    tool_calls: optionalArray(ToolCall),
+    thought_signature: Schema.optional(Schema.String),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const Messages = Schema.Array(
+  Schema.Union([
+    OpenAIChat.OpenAIChatMessage.cases.system,
+    OpenAIChat.OpenAIChatMessage.cases.user,
+    Assistant,
+    OpenAIChat.OpenAIChatMessage.cases.tool,
+  ]),
+)
+const Body = Schema.Struct({
+  ...OpenAIChat.bodyFields,
+  messages: Messages,
+  reasoning: Schema.optional(Reasoning),
+  venice_parameters: Schema.Record(Schema.String, Schema.Union([Schema.String, Schema.Boolean])),
+  prompt_cache_retention: Options.fields.promptCacheRetention,
+  parallel_tool_calls: Options.fields.parallelToolCalls,
+  min_p: Options.fields.minP,
+  top_k: Schema.optional(Schema.Number),
+  repetition_penalty: Options.fields.repetitionPenalty,
+  stop_token_ids: Options.fields.stopTokenIds,
+  logprobs: Options.fields.logprobs,
+  top_logprobs: Options.fields.topLogprobs,
+  max_temp: Options.fields.maxTemp,
+  min_temp: Options.fields.minTemp,
+  response_format: Options.fields.responseFormat,
+  user: Options.fields.user,
+})
+
+// ---------------------------------------------------------------------------
+// Streaming schemas and state
+// ---------------------------------------------------------------------------
+
+const ToolDelta = Schema.Struct({
+  ...OpenAIChat.OpenAIChatToolCallDelta.fields,
+  thought_signature: optionalNull(Schema.String),
+})
+const Delta = Schema.StructWithRest(
+  Schema.Struct({
+    ...OpenAIChat.OpenAIChatDelta.schema.fields,
+    tool_calls: optionalNull(Schema.Array(ToolDelta)),
+    thought_signature: optionalNull(Schema.String),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const Choice = Schema.StructWithRest(
+  Schema.Struct({ ...OpenAIChat.OpenAIChatChoice.schema.fields, delta: optionalNull(Delta) }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const Usage = Schema.StructWithRest(
+  Schema.Struct({
+    ...OpenAIChat.OpenAIChatUsage.schema.fields,
+    prompt_tokens_details: optionalNull(
+      Schema.StructWithRest(
+        Schema.Struct({
+          cached_tokens: optionalNull(Schema.Number),
+          cache_write_tokens: optionalNull(Schema.Number),
+          cache_creation_input_tokens: optionalNull(Schema.Number),
+        }),
+        [Schema.Record(Schema.String, Schema.Unknown)],
+      ),
+    ),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const Event = Schema.StructWithRest(
+  Schema.Struct({
+    ...OpenAIChat.OpenAIChatEvent.schema.fields,
+    choices: optionalNull(Schema.Array(Choice)),
+    usage: optionalNull(Usage),
+    error: optionalNull(Schema.Union([Schema.String, OpenAIChat.OpenAIChatEvent.schema.fields.error.schema])),
+    issues: optionalArray(
+      Schema.Struct({
+        message: Schema.String,
+        path: Schema.optional(Schema.Array(Schema.Union([Schema.String, Schema.Number]))),
+      }),
+    ),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+
+interface State {
+  readonly shared: OpenAIChat.ParserState
+  readonly pending: string
+  readonly reasoning: string
+  readonly encrypted: boolean
+  readonly signature?: string
+  readonly tools: Readonly<Record<string, string>>
+}
+
+const MARKER = "__ENCRYPTED_REASONING__"
+
+// ---------------------------------------------------------------------------
+// Request lowering
+// ---------------------------------------------------------------------------
+
+const fromRequest = Effect.fn("VeniceChat.fromRequest")(function* (request: LLMRequest) {
+  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
+  const body = yield* OpenAIChat.fromRequest(request, {
+    cacheControl: cacheControl(),
+    assistant: (source, message) => {
+      if (message.role !== "assistant") return message
+      const parts = source.content.filter(
+        (part) => part.type === "text" || part.type === "reasoning" || part.type === "tool-call",
+      )
+      const calls = source.content.filter((part) => part.type === "tool-call")
+      const signature = parts
+        .map((part) => part.providerMetadata?.venice?.messageThoughtSignature)
+        .find((value) => typeof value === "string")
+      const raw = parts
+        .map((part) => part.providerMetadata?.venice?.encryptedReasoningContent)
+        .find((value) => typeof value === "string")
+      return {
+        ...message,
+        ...(signature === undefined ? {} : { thought_signature: signature }),
+        ...(raw === undefined ? {} : { reasoning_content: raw }),
+        tool_calls: message.tool_calls?.map((call, index) => {
+          const signature = calls[index]?.providerMetadata?.venice?.thoughtSignature
+          return { ...call, ...(typeof signature === "string" ? { thought_signature: signature } : {}) }
+        }),
+      }
+    },
+  })
+  return {
+    ...body,
+    max_completion_tokens: options.maxCompletionTokens ?? options.maxTokens ?? request.generation?.maxTokens,
+    reasoning_effort: undefined,
+    reasoning:
+      options.reasoningEffort === undefined
+        ? options.reasoning
+        : { ...options.reasoning, effort: options.reasoningEffort },
+    // Match the previous Venice SDK default, not the gateway's added prompt.
+    venice_parameters: Object.fromEntries(
+      Object.entries({
+        ...options.veniceParameters,
+        includeVeniceSystemPrompt: options.veniceParameters?.includeVeniceSystemPrompt ?? false,
+      })
+        .filter(([, value]) => value !== undefined)
+        .map(([key, value]) => [key.replace(/[A-Z]/g, (letter) => `_${letter.toLowerCase()}`), value]),
+    ),
+    prompt_cache_retention: options.promptCacheRetention,
+    parallel_tool_calls: options.parallelToolCalls,
+    min_p: options.minP,
+    top_k: request.generation?.topK,
+    repetition_penalty: options.repetitionPenalty,
+    stop_token_ids: options.stopTokenIds,
+    logprobs: options.logprobs,
+    top_logprobs: options.topLogprobs,
+    max_temp: options.maxTemp,
+    min_temp: options.minTemp,
+    response_format: options.responseFormat,
+    user: options.user,
+  }
+})
+
+// ---------------------------------------------------------------------------
+// Venice normalization around the shared Chat state machine
+// ---------------------------------------------------------------------------
+
+const step = Effect.fn("VeniceChat.step")(function* (state: State, event: typeof Event.Type) {
+  if (typeof event.error === "string")
+    return yield* new AIError({
+      reason: classifyProviderFailure({
+        message: [
+          event.error,
+          ...(event.issues ?? []).map(
+            (issue) => `${issue.path?.length ? `${issue.path.join(".")}: ` : ""}${issue.message}`,
+          ),
+        ].join("; "),
+        rawBody: ProviderShared.encodeJson(event),
+      }),
+    })
+  const delta = event.choices?.[0]?.delta
+  const scalar = delta?.reasoning_content ?? ""
+  const text = state.pending + scalar
+  const marker = text.indexOf(MARKER)
+  const pending =
+    marker >= 0 || state.encrypted
+      ? 0
+      : (Array.from({ length: Math.min(text.length, MARKER.length - 1) }, (_, index) => index + 1)
+          .filter((length) => text.endsWith(MARKER.slice(0, length)))
+          .at(-1) ?? 0)
+  const visible = state.encrypted ? "" : marker >= 0 ? text.slice(0, marker) : text.slice(0, text.length - pending)
+  const result = yield* OpenAIChat.protocol.stream.step(state.shared, {
+    ...event,
+    error: event.error,
+    usage: event.usage
+      ? {
+          ...event.usage,
+          prompt_tokens_details: event.usage.prompt_tokens_details
+            ? {
+                ...event.usage.prompt_tokens_details,
+                cache_write_tokens:
+                  event.usage.prompt_tokens_details.cache_write_tokens ??
+                  event.usage.prompt_tokens_details.cache_creation_input_tokens,
+              }
+            : event.usage.prompt_tokens_details,
+        }
+      : event.usage,
+    choices: event.choices?.map((choice, index) =>
+      index === 0 && choice.delta
+        ? {
+            ...choice,
+            delta: {
+              ...choice.delta,
+              reasoning_content: visible || undefined,
+              // Opaque-only scalar reasoning still needs a canonical part for replay.
+              reasoning_details: choice.delta.reasoning_details ?? (marker >= 0 ? [] : undefined),
+            },
+          }
+        : choice,
+    ),
+  })
+  const tools = { ...state.tools }
+  for (const call of delta?.tool_calls ?? []) {
+    if (!call.thought_signature) continue
+    const index = call.index ?? result[0].latestToolIndex
+    const id =
+      call.id ?? (index === undefined ? undefined : (result[0].tools[index]?.id ?? result[0].pendingTools[index]?.id))
+    if (id) tools[id] = call.thought_signature
+  }
+  return [
+    {
+      shared: result[0],
+      pending: pending ? text.slice(-pending) : "",
+      reasoning: state.reasoning + scalar,
+      encrypted: state.encrypted || marker >= 0,
+      signature: delta?.thought_signature ?? state.signature,
+      tools,
+    },
+    result[1],
+  ] as const
+})
+
+const onHalt = Effect.fn("VeniceChat.onHalt")(function* (state: State) {
+  const events = yield* OpenAIChat.finishEvents(state.shared)
+  return events.flatMap((event): LLMEvent[] => {
+    if (
+      event.type !== "reasoning-end" &&
+      event.type !== "text-end" &&
+      event.type !== "tool-call" &&
+      event.type !== "tool-input-end"
+    )
+      return [event]
+    const signature = event.type === "tool-call" || event.type === "tool-input-end" ? state.tools[event.id] : undefined
+    const providerMetadata = {
+      ...event.providerMetadata,
+      venice: {
+        ...event.providerMetadata?.venice,
+        ...(state.signature ? { messageThoughtSignature: state.signature } : {}),
+        ...(signature ? { thoughtSignature: signature } : {}),
+        ...(event.type === "reasoning-end" && state.encrypted ? { encryptedReasoningContent: state.reasoning } : {}),
+      },
+    }
+    if (event.type === "reasoning-end" && state.pending)
+      return [LLMEvent.reasoningDelta({ id: event.id, text: state.pending }), { ...event, providerMetadata }]
+    return [{ ...event, providerMetadata }]
+  })
+})
+
+export const compatibility = {
+  maxTokensField: "max_completion_tokens",
+  supportsStore: false,
+  supportsPromptCacheKey: true,
+} satisfies LanguageModelCompatibility
+
+export const protocol = Protocol.make({
+  id: "venice-chat",
+  body: { schema: Body, from: fromRequest },
+  stream: {
+    event: Schema.Union([Schema.Literal("[DONE]"), Protocol.jsonEvent(Event)]),
+    initial: (request): State => ({
+      shared: OpenAIChat.protocol.stream.initial(request),
+      pending: "",
+      reasoning: "",
+      encrypted: false,
+      tools: {},
+    }),
+    step: (state: State, event) => (event === "[DONE]" ? Effect.succeed([state, []] as const) : step(state, event)),
+    terminal: (event) => event === "[DONE]",
+    onHalt,
+  },
+})
+
+export * as VeniceChat from "./venice-chat.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import type { Status } from "../generation.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/http"
+import type { HttpClientResponse } from "effect/unstable/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -1,15 +1,20 @@
 import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import type { ProviderPackage } from "../provider-package.js"
+import { AnthropicMessages } from "../protocols/anthropic-messages.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
 import { OpenResponses } from "../protocols/open-responses.js"
 import { BedrockAuth, type Credentials } from "../protocols/utils/bedrock-auth.js"
+import { claudeVersion } from "../protocols/utils/claude-model.js"
 import { ProviderConfigurationError, ProviderID, type ModelID } from "../schema/index.js"
 import { withOpenAIOptions, type OpenAIProviderOptionsInput } from "./openai-options.js"

 export const id = ProviderID.make("amazon-bedrock")

-export type Config = RouteDefaultsInput & {
+export type OpenAIOptionsInput = OpenAIProviderOptionsInput
+export type MessagesOptionsInput = AnthropicMessages.ProviderOptionsInput
+
+export type Config = Omit<RouteDefaultsInput, "providerOptions"> & {
  /** Bedrock API key. Falls back to `AWS_BEARER_TOKEN_BEDROCK`; bearer auth takes precedence over SigV4. */
  readonly apiKey?: string
  /** `sigv4` ignores `apiKey` fallbacks from the environment; `bearer` requires a token. */
@@ -20,11 +25,11 @@ export type Config = RouteDefaultsInput & {
  /** Shared config profile for the default credential chain. */
  readonly profile?: string
  readonly region?: string
-  readonly providerOptions?: OpenAIProviderOptionsInput
+  readonly providerOptions?: OpenAIProviderOptionsInput | AnthropicMessages.ProviderOptionsInput
 }

-export type Settings = ProviderPackage.Settings &
-  OpenAIProviderOptionsInput & {
+export type Settings<Options = OpenAIProviderOptionsInput> = ProviderPackage.Settings &
+  Options & {
    readonly apiKey?: string
    readonly auth?: "bearer" | "sigv4"
    readonly baseURL?: string
@@ -34,6 +39,8 @@ export type Settings = ProviderPackage.Settings &
    readonly topP?: number
  }

+export type MessagesSettings = Settings<AnthropicMessages.ProviderOptionsInput>
+
 const responsesRoute = Route.make({
  id: "bedrock-mantle-responses",
  provider: id,
@@ -50,12 +57,35 @@ const chatRoute = OpenAIChat.route.with({
  providerMetadataKey: "mantle",
 })

-export const routes = [responsesRoute, chatRoute]
+const messagesRoute = Route.make({
+  id: "bedrock-mantle-messages",
+  provider: id,
+  providerMetadataKey: "mantle",
+  protocol: {
+    ...AnthropicMessages.protocol,
+    // Mantle rejects mid-conversation `output_config` on Opus 5.0; support starts at 5.1+.
+    supportsEffortUpdates: (request) => {
+      const override = request.model.compatibility?.supportsEffortUpdates
+      if (override !== undefined) return override
+      const version = claudeVersion(request.model.id)
+      return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
+    },
+  },
+  endpoint: Endpoint.path(AnthropicMessages.PATH),
+  transport: AnthropicMessages.transport<AnthropicMessages.AnthropicMessagesBody>(),
+  headers: () => ({ "anthropic-version": "2023-06-01" }),
+})

-const configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) => {
+export const routes = [responsesRoute, chatRoute, messagesRoute]
+
+const configuredRoute = <Body, Prepared>(
+  route: Route<Body, Prepared>,
+  input: Config,
+  defaultBaseURL = (region: string) => `https://bedrock-mantle.${region}.api.aws/v1`,
+) => {
  const region = BedrockAuth.resolveRegion(input)
  return route.with({
-    endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },
+    endpoint: { baseURL: input.baseURL ?? defaultBaseURL(region) },
    auth: BedrockAuth.resolveAuth(input, region, {
      service: "bedrock-mantle",
      name: "Bedrock Mantle",
@@ -87,6 +117,11 @@ export const configure = (input: Config = {}) => {
    })
  const configuredResponsesRoute = configuredRoute(responsesRoute, input)
  const configuredChatRoute = configuredRoute(chatRoute, input)
+  const configuredMessagesRoute = configuredRoute(
+    messagesRoute,
+    input,
+    (region) => `https://bedrock-mantle.${region}.api.aws/anthropic/v1`,
+  )
  const modelDefaults = defaults(input)
  const responses = (modelID: string | ModelID) =>
    configuredResponsesRoute
@@ -96,11 +131,14 @@ export const configure = (input: Config = {}) => {
    configuredChatRoute
      .with(withOpenAIOptions(modelID, modelDefaults))
      .model<OpenAIProviderOptionsInput>({ id: modelID })
+  const messages = (modelID: string | ModelID) =>
+    configuredMessagesRoute.with(modelDefaults).model<AnthropicMessages.ProviderOptionsInput>({ id: modelID })

  return {
    id,
    model: responses,
    chat,
+    messages,
    responses,
    configure,
  }
@@ -119,7 +157,7 @@ const fromSettings = ({
  region,
  topP,
  ...providerOptions
-}: Settings) =>
+}: Settings<Config["providerOptions"]>) =>
  configure({
    apiKey,
    auth,
@@ -137,6 +175,10 @@ export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptio
  modelID,
  settings,
 ) => fromSettings(settings).chat(modelID)
+export const messagesModel: ProviderPackage.Definition<
+  MessagesSettings,
+  AnthropicMessages.ProviderOptionsInput
+>["model"] = (modelID, settings) => fromSettings(settings).messages(modelID)
 export const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
  modelID,
  settings,
@@ -0,0 +1,2 @@
+export { messagesModel as model } from "../../amazon-bedrock-mantle.js"
+export type { MessagesSettings as Settings } from "../../amazon-bedrock-mantle.js"
@@ -54,6 +54,7 @@ const route = Route.make({
        ),
    },
    stream: AnthropicMessages.protocol.stream,
+    supportsEffortUpdates: AnthropicMessages.protocol.supportsEffortUpdates,
  }),
  endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),
  auth: Auth.none,
@@ -40,6 +40,7 @@ export * as Stability from "./stability.js"
 export * as TogetherAI from "./togetherai.js"
 export * as TypeSafeAI from "./typesafe-ai.js"
 export * as VercelAIGateway from "./vercel-ai-gateway.js"
+export * as Venice from "./venice.js"
 export * as XAI from "./xai.js"
 export * as ZAI from "./zai.js"
 export * as ZAICodingPlan from "./zai-coding-plan.js"
@@ -50,7 +50,7 @@ export const gpt5DefaultOptions = (modelID: string): ProviderOptions | undefined
 export const openAIDefaultOptions = (modelID: string): ProviderOptions | undefined =>
  mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID))

-export const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(
+export const withOpenAIOptions = <Options extends { readonly providerOptions?: ProviderOptions }>(
  modelID: string,
  options: Options,
 ): Omit<Options, "providerOptions"> & { readonly providerOptions?: ProviderOptions } => {
@@ -0,0 +1,62 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { VeniceChat } from "../protocols/venice-chat.js"
+import { OpenAIChat } from "../protocols/openai-chat.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 { ProviderID, type ModelID } from "../schema/index.js"
+
+export const id = ProviderID.make("venice")
+export type ChatOptionsInput = VeniceChat.OptionsInput
+export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly queryParams?: Readonly<Record<string, string>>
+    readonly providerOptions?: ChatOptionsInput
+  }
+export type Settings = ProviderPackage.Settings &
+  ChatOptionsInput & {
+    readonly apiKey?: string
+    readonly baseURL?: string
+    readonly queryParams?: Readonly<Record<string, string>>
+  }
+
+const route = Route.make({
+  id: "venice-chat",
+  provider: id,
+  providerMetadataKey: "venice",
+  protocol: VeniceChat.protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.venice.ai/api/v1" }),
+  framing: OpenAIChat.framing,
+})
+export const routes = [route]
+
+export const configure = (input: Config = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, queryParams, ...rest } = input
+  const chat = (modelID: string | ModelID) =>
+    route
+      .with({
+        ...rest,
+        endpoint: { baseURL: baseURL ?? route.endpoint.baseURL, query: queryParams },
+        auth: AuthOptions.bearer(input, "VENICE_API_KEY"),
+      })
+      .model<ChatOptionsInput>({ id: modelID, compatibility: VeniceChat.compatibility })
+  return { id, model: chat, chat, configure }
+}
+
+export const provider = configure()
+export const chat = provider.chat
+export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["model"] = (
+  modelID,
+  { apiKey, baseURL, queryParams, body, headers, ...providerOptions },
+) =>
+  configure({
+    apiKey,
+    baseURL,
+    queryParams,
+    headers,
+    http: body === undefined ? undefined : { body: { ...body } },
+    providerOptions,
+  }).model(modelID)
+
+export * as Venice from "./venice.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/http"
+import { Headers, HttpClientRequest } from "effect/unstable/http"
 import {
  EvaluationAnswer,
  EvaluationInput,
@@ -1,5 +1,5 @@
 import { Config, Effect, Option, Redacted } from "effect"
-import { Headers } from "effect/http"
+import { Headers } from "effect/unstable/http"
 import { AuthenticationError, AIError, type HttpOptions } from "../schema/index.js"

 export class MissingCredentialError extends Error {
@@ -95,7 +95,7 @@ export const optional = (secret: Secret | undefined, source = "optional value")
 export const config = (name: string) =>
  credential(
    Effect.gen(function* () {
-      const secret = yield* Config.option(Config.Redacted(name))
+      const secret = yield* Config.option(Config.redacted(name))
      if (Option.isSome(secret) && Redacted.value(secret.value) !== "") return secret.value
      return yield* Effect.fail(new MissingCredentialError(name, `${name} is not set`))
    }),
@@ -1,5 +1,5 @@
 import { Context, type Effect } from "effect"
-import type { HttpClientRequest, HttpClientResponse } from "effect/http"
+import type { HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
 import type { AIError } from "../schema/errors.js"

 // The service tag lives in its own leaf module so `Media.Asset` (imported by the schema layer) can require the
@@ -6,7 +6,7 @@ import {
  HttpClientError,
  HttpClientRequest,
  HttpClientResponse,
-} from "effect/http"
+} from "effect/unstable/http"
 import { HttpContext, HttpRateLimitDetails, AIError, TransportError } from "../schema/index.js"
 import { classifyProviderFailure, providerErrorMessage } from "../provider-error.js"
 import { Service, type HttpMiddleware, type Interface } from "./executor-service.js"
@@ -1,5 +1,5 @@
 import { Effect, Stream } from "effect"
-import { makeParser, type Event } from "effect/encoding/Sse"
+import { makeParser } from "effect/unstable/encoding/Sse"
 import { AIError, InvalidProviderOutputError } from "../schema/index.js"

 /**
@@ -42,43 +42,39 @@ export const sseFraming = (
    Stream.decodeText(),
    Stream.mapAccumEffect(
      () => {
-        const output: Event[] = []
+        const output: string[] = []
        return {
          output,
          parser: makeParser((event) => {
-            if (event._tag === "Event") output.push(event)
+            if (
+              event._tag === "Event" &&
+              (events === undefined || events.has(event.event)) &&
+              event.data.length > 0 &&
+              // Some OpenAI-compatible proxies serialize an empty flush as a bare
+              // `data: null`, between events or after `[DONE]`. No protocol has a
+              // null event, so it carries nothing and must not abort the stream.
+              event.data !== "null" &&
+              // Vertex AI partner models (e.g. `xai/grok-4.6`) send their SSE
+              // keepalive comment as `data: : keepalive` while reasoning.
+              event.data !== ": keepalive" &&
+              (event.data !== "[DONE]" || includeDone || (events !== undefined && event.event !== "message"))
+            )
+              output.push(event.data)
          }),
        }
      },
-      (state, chunk) =>
-        Effect.gen(function* () {
-          const error = state.parser.feed(chunk)
-          if (error)
-            return yield* new AIError({
-              reason: new InvalidProviderOutputError({
-                route: "sse",
-                message: error.message,
-                body: chunk,
-                cause: error,
-              }),
-            })
-          return [state, state.output.splice(0)] as const
-        }),
+      (state, chunk) => {
+        const error = state.parser.feed(chunk)
+        if (!error) return Effect.succeed([state, state.output.splice(0)] as const)
+        const reason = new InvalidProviderOutputError({
+          route: "sse",
+          message: error.message,
+          body: chunk,
+          cause: error,
+        })
+        return Effect.fail(new AIError({ reason }))
+      },
    ),
-    Stream.filter(
-      (event) =>
-        (events === undefined || events.has(event.event)) &&
-        event.data.length > 0 &&
-        // Some OpenAI-compatible proxies serialize an empty flush as a bare
-        // `data: null`, between events or after `[DONE]`. No protocol has a
-        // null event, so it carries nothing and must not abort the stream.
-        event.data !== "null" &&
-        // Vertex AI partner models (e.g. `xai/grok-4.6`) send their SSE
-        // keepalive comment as `data: : keepalive` while reasoning.
-        event.data !== ": keepalive" &&
-        (event.data !== "[DONE]" || includeDone || (events !== undefined && event.event !== "message")),
-    ),
-    Stream.map((event) => event.data),
  )

 /** Server-Sent Events framing. Used by every JSON-streaming HTTP provider. */
@@ -1,5 +1,5 @@
 import { Clock, Duration, Effect, Schema, type Stream } from "effect"
-import { HttpClientResponse } from "effect/http"
+import { HttpClientResponse } from "effect/unstable/http"
 import type { Snapshot, Status } from "../generation.js"
 import { Media } from "../media.js"
 import type { AuthInput } from "./auth.js"
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schedule, Schema, Stream } from "effect"
-import { Headers, HttpClientRequest, type HttpClientResponse } from "effect/http"
+import { Headers, HttpClientRequest, type HttpClientResponse } from "effect/unstable/http"
 import { Auth, type AuthInput } from "./auth.js"
 import { Endpoint } from "./endpoint.js"
 import { RequestExecutorService, type Interface } from "./executor-service.js"
@@ -1,5 +1,5 @@
 import { Clock, Duration, Effect, Stream } from "effect"
-import { Headers, HttpClientRequest } from "effect/http"
+import { Headers, HttpClientRequest } from "effect/unstable/http"
 import { Auth } from "../auth.js"
 import { render as renderEndpoint } from "../endpoint.js"
 import { Framing } from "../framing.js"
@@ -1,5 +1,5 @@
 import type { Effect, Scope, Stream } from "effect"
-import type { Headers } from "effect/http"
+import type { Headers } from "effect/unstable/http"
 import type { AIError, HttpContext } from "../../schema/index.js"

 export interface WebSocketChannelExecutor {
@@ -1,6 +1,6 @@
 import { Cause, Effect, Queue, Stream } from "effect"
-import { Headers } from "effect/http"
-import { Socket } from "effect/socket"
+import { Headers } from "effect/unstable/http"
+import { Socket } from "effect/unstable/socket"
 import {
  AIError,
  AIErrorReason,
@@ -1,5 +1,4 @@
 import { Schema } from "effect"
-import { withStatics } from "@opencode/schema/schema"
 import { Tool } from "@opencode/schema/tool"
 import {
  CacheHint,
@@ -29,7 +28,7 @@ export type SystemPart = Schema.Schema.Type<typeof systemPartSchema>

 const makeSystemPart = (text: string): SystemPart => ({ type: "text", text })

-export const SystemPart = withStatics(systemPartSchema, {
+export const SystemPart = Object.assign(systemPartSchema, {
  make: makeSystemPart,
  content: (input?: string | SystemPart | ReadonlyArray<SystemPart>) => {
    if (input === undefined) return []
@@ -77,7 +76,7 @@ const toolResultValueSchema = Schema.Union([
 export type ToolResultValue = Schema.Schema.Type<typeof toolResultValueSchema>
 const isToolResultValue = Schema.is(toolResultValueSchema)

-export const ToolResultValue = withStatics(toolResultValueSchema, {
+export const ToolResultValue = Object.assign(toolResultValueSchema, {
  is: isToolResultValue,
  make: (value: unknown, type: ToolResultValue["type"] = "json"): ToolResultValue => {
    if (isToolResultValue(value)) return value
@@ -91,7 +90,7 @@ export interface ToolOutput {
  readonly content: ReadonlyArray<Tool.Content>
 }

-export const ToolOutput = withStatics(
+export const ToolOutput = Object.assign(
  Schema.Struct({
    structured: Schema.Unknown,
    content: Schema.Array(Tool.Content),
@@ -128,7 +127,7 @@ const toolResultText = (value: unknown) => {
  }
 }

-export const ToolCallPart = withStatics(
+export const ToolCallPart = Object.assign(
  Schema.Struct({
    type: Schema.Literal("tool-call"),
    id: Schema.String,
@@ -146,7 +145,7 @@ export const ToolCallPart = withStatics(
 )
 export type ToolCallPart = Schema.Schema.Type<typeof ToolCallPart>

-export const ToolResultPart = withStatics(
+export const ToolResultPart = Object.assign(
  Schema.Struct({
    type: Schema.Literal("tool-result"),
    id: Schema.String,
@@ -210,7 +209,7 @@ const compactionPartSchema = Schema.Struct({
  )
  .annotate({ identifier: "LLM.Content.Compaction" })
 export type CompactionPart = typeof compactionPartSchema.Type
-export const CompactionPart = withStatics(compactionPartSchema, {
+export const CompactionPart = Object.assign(compactionPartSchema, {
  make: (input: Omit<CompactionPart, "type" | "encrypted" | "text"> & CompactionContent): CompactionPart =>
    Schema.decodeUnknownSync(compactionPartSchema)({ type: "compaction", ...input }),
 })
@@ -327,7 +326,7 @@ export type ToolNamespaceEntryInput = ToolNamespaceInput & { readonly type: "nam

 export const ToolNamespace: Schema.Codec<ToolNamespace> & {
  readonly make: (input: ToolNamespace | ToolNamespaceInput) => ToolNamespace
-} = withStatics(
+} = Object.assign(
  Schema.Struct({
    type: Schema.Literal("namespace"),
    name: Schema.String,
@@ -347,7 +346,7 @@ export type ToolEntry = ToolDefinition | ToolNamespace
 export type ToolEntryInput = ToolDefinition.Input | ToolNamespaceEntryInput
 export const ToolEntry: Schema.Codec<ToolEntry> & {
  readonly make: (input: ToolEntryInput) => ToolEntry
-} = withStatics(
+} = Object.assign(
  Schema.Union([ToolDefinition, ToolNamespace]).pipe(
    Schema.toTaggedUnion("type"),
    Schema.annotate({ identifier: "LLM.ToolEntry" }),
@@ -1,4 +1,4 @@
-import { Effect, JsonSchema, Schema, SchemaAST } from "effect"
+import { Effect, JsonSchema, Schema } from "effect"
 import { Tool } from "@opencode/schema/tool"
 import type {
  ToolCallPart,
@@ -6,7 +6,6 @@ import type {
  ToolOutput as ToolOutputType,
 } from "./schema/index.js"
 import { ToolDefinition, ToolFailure, ToolOutput } from "./schema/index.js"
-import { isRecord } from "./utils/record.js"

 /**
 * Schema constraint for tool parameters / success values: no decoding or
@@ -201,7 +200,7 @@ export function make(config: TypedToolConfig | DynamicToolConfig): AnyTool {
    _definition: new ToolDefinition({
      name: "",
      description: config.description,
-      inputSchema: emptyInputJsonSchema(config.parameters) ?? toJsonSchema(config.parameters),
+      inputSchema: toJsonSchema(config.parameters),
      outputSchema: toJsonSchema(config.success),
    }),
  }
@@ -231,36 +230,8 @@ export const toDefinitions = (tools: Tools): ReadonlyArray<ToolDefinitionClass>
      }),
  )

-/**
- * Describes a no-argument Effect tool input as an empty object, or returns
- * `undefined` when the input takes arguments.
- *
- * Effect emits `{ not: { type: "null" } }` for `Struct({})`, but providers
- * require tool parameters to describe an object. Emptiness is decided by the
- * encoded side, which is what the model sends, so a transformation from an
- * empty struct qualifies while one into an empty struct does not. The schema is
- * inlined rather than a root `$ref`, and the title, description, and other
- * metadata Effect emits are retained. Checked encoded structs are left as
- * Effect emits them, because their constraints or JSON Schema overrides could
- * contradict the closed object shape.
- */
-export const emptyInputJsonSchema = (schema: Schema.Top): JsonSchema.JsonSchema | undefined => {
-  const encoded = SchemaAST.toEncoded(schema.ast)
-  if (
-    !SchemaAST.isObjects(encoded) ||
-    encoded.propertySignatures.length > 0 ||
-    encoded.indexSignatures.length > 0 ||
-    encoded.checks !== undefined
-  )
-    return undefined
-  const { not, ...metadata } = Schema.toJsonSchemaDocument(schema, { referencePolicy: () => undefined }).schema
-  // Rewrite only the shape Effect is known to emit for an empty struct.
-  if (!isRecord(not) || not.type !== "null" || Object.keys(not).length !== 1) return undefined
-  return { ...metadata, type: "object", properties: {}, additionalProperties: false }
-}
-
 const toJsonSchema = (schema: Schema.Top): JsonSchema.JsonSchema => {
-  const document = Schema.toJsonSchemaDocument(schema, { onExcessProperty: "error" })
+  const document = Schema.toJsonSchemaDocument(schema)
  if (Object.keys(document.definitions).length === 0) return document.schema
  return { ...document.schema, $defs: document.definitions }
 }
@@ -29,7 +29,7 @@ type LanguageModel = {
 declare const auth: Auth.Definition
 declare const optionalAuthModel: LanguageModelFactory<BaseOptions, "optional", LanguageModel>
 declare const requiredAuthModel: LanguageModelFactory<BaseOptions, "required", LanguageModel>
-const configApiKey = Config.Redacted("OPENAI_API_KEY")
+const configApiKey = Config.redacted("OPENAI_API_KEY")

 OpenAIChat.route.model({ id: "gpt-4.1-mini" })

@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
-import { Headers } from "effect/http"
+import { Headers } from "effect/unstable/http"
 import { LLM } from "../src/index.js"
 import { Auth } from "../src/route/auth.js"
 import * as OpenAIChat from "../src/protocols/openai-chat.js"
@@ -1,6 +1,6 @@
 import { expect } from "bun:test"
 import { Effect } from "effect"
-import { FetchHttpClient } from "effect/http"
+import { FetchHttpClient } from "effect/unstable/http"
 import { LLM, LLMRequest, Message } from "../src/index.js"
 import { LLMClient } from "../src/route/client.js"
 import { OpenAI } from "../src/providers.js"
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { Effect, Ref, Schema } from "effect"
-import { HttpClientRequest, HttpClientResponse } from "effect/http"
+import { HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
 import {
  LLM,
  LLMRequest,
@@ -6,7 +6,7 @@ import { compileRequest } from "../src/route/client.js"
 import { AnthropicMessages } from "../src/protocols/anthropic-messages.js"
 import { OpenAIResponses } from "../src/protocols/openai-responses.js"
 import { Gemini } from "../src/protocols/gemini.js"
-import { GoogleVertexMessages, OpenAI } from "../src/providers.js"
+import { AmazonBedrockMantle, GoogleVertexMessages, OpenAI } from "../src/providers.js"
 import { applyEffortUpdates } from "../src/effort-updates.js"
 import { it, testEffect } from "./lib/effect.js"
 import { dynamicResponse } from "./lib/http.js"
@@ -171,6 +171,33 @@ describe("Anthropic Messages effort updates", () => {
    }),
  )

+  it.effect("releases a held system update next to an effort marker as one valid section", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: opus5,
+          messages: [
+            Message.user("Fix it."),
+            Message.assistant("Done."),
+            lowFromHigh,
+            Message.system("Update."),
+            Message.user("Next."),
+          ],
+          providerOptions: { effort: "low" },
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        { role: "user", content: [{ type: "text", text: "Fix it." }] },
+        { role: "assistant", content: [{ type: "text", text: "Done." }] },
+        { role: "system", content: [], output_config: { effort: "low" } },
+        { role: "user", content: [{ type: "text", text: "Next." }] },
+        { role: "system", content: [{ type: "text", text: "Update.", cache_control: undefined }] },
+      ])
+    }),
+  )
+
  it.effect("falls back to a plain top-level effort when history drifted from the current effort", () =>
    Effect.gen(function* () {
      const drifted = yield* compileRequest(
@@ -241,20 +268,53 @@ describe("Anthropic Messages effort updates", () => {
    }),
  )

-  it.effect("strips markers on the Vertex Anthropic route, whose protocol wrapper does not forward support", () =>
+  it.effect("strips markers for Opus 5.0 on Bedrock Mantle Messages while lowering Opus 5.5", () =>
    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
+      const mantle = AmazonBedrockMantle.configure({ apiKey: "test", region: "us-east-1" })
+      const opus50 = yield* compileRequest(
        LLM.request({
-          model: GoogleVertexMessages.configure({ accessToken: "test", location: "global", project: "test" }).model(
-            "claude-opus-5",
-          ),
+          model: mantle.messages("anthropic.claude-opus-5"),
+          messages: conversation,
+          providerOptions: { effort: "low" },
+        }),
+      )
+      const opus55 = yield* compileRequest(
+        LLM.request({
+          model: mantle.messages("anthropic.claude-opus-5-5"),
          messages: conversation,
          providerOptions: { effort: "low" },
        }),
      )

-      expect(systemMessages(prepared.body)).toHaveLength(0)
-      expect(prepared.body.output_config).toEqual({ effort: "low" })
+      expect(systemMessages(opus50.body)).toHaveLength(0)
+      expect(opus50.body.output_config).toEqual({ effort: "low" })
+      expect(systemMessages(opus55.body)).toEqual([{ role: "system", content: [], output_config: { effort: "low" } }])
+      expect(opus55.body.output_config).toEqual({ effort: "high" })
+    }),
+  )
+
+  it.effect("lowers markers on the Vertex Anthropic route for models that support them", () =>
+    Effect.gen(function* () {
+      const vertex = GoogleVertexMessages.configure({ accessToken: "test", location: "global", project: "test" })
+      const opus5 = yield* compileRequest(
+        LLM.request({
+          model: vertex.model("claude-opus-5"),
+          messages: conversation,
+          providerOptions: { effort: "low" },
+        }),
+      )
+      const opus48 = yield* compileRequest(
+        LLM.request({
+          model: vertex.model("claude-opus-4-8"),
+          messages: conversation,
+          providerOptions: { effort: "low" },
+        }),
+      )
+
+      expect(systemMessages(opus5.body)).toEqual([{ role: "system", content: [], output_config: { effort: "low" } }])
+      expect(opus5.body.output_config).toEqual({ effort: "high" })
+      expect(systemMessages(opus48.body)).toHaveLength(0)
+      expect(opus48.body.output_config).toEqual({ effort: "low" })
    }),
  )
 })
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect, Layer } from "effect"
-import { HttpClientRequest } from "effect/http"
+import { HttpClientRequest } from "effect/unstable/http"
 import { Evaluation, EvaluationClient } from "../src/experimental.js"
 import { OpenCodeZen, OpenRouter, TypeSafeAI, VercelAIGateway } from "../src/providers.js"
 import { it } from "./lib/effect.js"
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Deferred, Effect, Fiber, Layer, Ref, Stream } from "effect"
-import { Headers, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/http"
+import { Headers, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
 import { LLM, AIError, HttpContext, InvalidProviderOutputError, TransportError, isRetryable } from "../src/index.js"
 import {
  LLMClient,
@@ -0,0 +1,57 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic.claude-opus-5-5",
+    "tags": [
+      "prefix:bedrock-mantle-messages",
+      "provider:amazon-bedrock",
+      "protocol:anthropic-messages",
+      "reasoning",
+      "effort-update"
+    ],
+    "name": "bedrock-mantle-messages/applies-mid-conversation-effort-updates-and-thinking-block-binding-on-opus-5-5",
+    "recordedAt": "2026-10-04T03:56:23.139Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://bedrock-mantle.us-east-1.api.aws/anthropic/v1/messages",
+        "headers": {
+          "anthropic-beta": "interleaved-thinking-2025-05-14,thinking-binding-controls-2026-08-01",
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Compute 37 * 43 step by step, then reply with only the integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"summarized\",\"block_binding\":{\"prefix_mismatch_behavior\":\"drop_block\"}},\"output_config\":{\"effort\":\"high\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
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+      }
+    }
+  ]
+}
@@ -0,0 +1,75 @@
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+}
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I’ll likely use the commentary channel for this tool call.\\n\\n__ENCRYPTED_REASONING__id=rs_014406f0f45e19c6016ac312f01d2487d2a5f2bdb7fbc42f76\\ngAAAAABqwxLxEN4vtmI2WcZ_aDDttdmPwAHgnV2gLZBo_f_mmTdGm4oZzE2JVzcj72AeXHyABmmo2VQN4nXaZK9GSSUZRlYL8mECMxKTj9AMgL8zlnuN5WDexxU-e9SduGP36RN9nH56-go4dz8eu5DEMvMf_TMoTnxz5AnC_UWbty63Vp8jEgkD-DoRjd0cg9LjthP_FLyMvP2Wj9qMJxEuO7Mw2_Pu4I3YeChnygLvmRfRR2QkamL5vjb9yHkl0Lb502vEGB2DW_czNEpHxisifvwRBjA7vk0mbn2dlhiR80aNHO71hC-QqrtUfPXx2HIbVLfbPdJf0saI0wD7ZuCJSQCBfB7fMCnj2ZLQeXa67lgXwsZDLBg4HmSJFvsMinx1IHIjUk7iebsKvmYx40cjqpXL3wj7htZWk2hO9OyGGUwlRsn5THdhTsgwg2SPbuHxb-sLPQnEFZ7bRp5lsVm31X2dlHDa1uZ7KLJZyy9g2CLIKsBwFFoCK7jY3HBXfL21ac5TAkOzVmz-XKl6OMPSl-PSdByOO15uHHpyOcJvJvuaea5Tj1nihtuDlhUP5EQPi7MiWpJMFo9AhDCafAbaQOEF5W8AQPeb_GXvPTzhySRAC8PxrhraEcZ4fjpjLqkv6mi_A1YHwbHEHHWjcK5VEKc3dadlIM_s6djclFBocVXrvnQQElVhWBDM-RtK9sgR07BFj5LVk6fYvg0b6gQnbDuQH18jhtPoj0SX0lN921XEQ1ebMCWGLANND2ew_wyNShYouJohefLULicWG57xh_yV1KEG1ufBedq2CPvCHA9Hm5UssbeJx5yBriyUA2Yh4D7j2UBT_KDWEHydDLQ4mWEyLTfQn0ZB3ZOqkU79z3HpK2w_VHUnkl5nEYEU2bmF5lsG33B4gtbQIBtZT76-fizXsvVZx__taOWXg96VMi3CD3DY0TS76B4U92KFmAFJ4aeiM8bkPuzf1Qd202EWE39CotUDoxAM6mzQu0NObTDnGQE776P6kzUoIKUmP8sDwYG5xot8ZTuXcBYysvj4-pFC_fvqMhsdfgonbke78SIjHtmePsOkfHBnCjSSUFKEbaM0nm8jJ6nYVwiYFuXBKD31QD462TAC7ORVIn32sWSgV2t3Sd7vq4ws2Yy7nUoILRAt_NYQUEXt7_R8J5YWj1L6Ruagk7Vtt-CAWxT6FhVyU4JhMb6-tJrYHgdmtunYrjpHBiOVdQR25aOmLbc_WlDvpO4azcRazpgkASAjPaaDycYceKcheiyUDBgFrvcSYrS1fJb6YZrTzOKw1Ztd0YsklS4nc3jffLNLrBQVvnkajj0OHjGcW8wkP93TCMJyt8tfIH0Rd5hIZLY5EqUWj9yZgXO7CuDKQZIEI0oZXef3mjfQqH8Q9rZsSgS3DI3mCF3CN003R_ZKKLGWkG8VzwlvdocNxaV_Z-ujp_O0YMyOcmEoTJI-j3JP3nefNboyP7EWND6VWDjJbqg64dvu0PK0EW5L0lnAu0l-WVb2qmXLYao_7bOlD8JLFZOyUgHAWmetmnm0NuxzevJEVBkNUu1jQatPzf2Jzf9SGKM_3bM_z0TM5McCZ2Pikzwp96QlaiEEWV_j2g02PT5Y3td-lfpoKxoFD5tltGNY9TlPzK-4a9Iz0hloiCprxWMLGKw2JzctrPF1xr42PKGNgPE84xAQ3sQ4mQ==\"},{\"role\":\"tool\",\"tool_call_id\":\"call_onp7EArhOgXu0hGRF6Y5WHLu\",\"content\":\"{\\\"code\\\":\\\"ZEBRA\\\",\\\"rate\\\":23}\"},{\"role\":\"assistant\",\"content\":\"400\",\"reasoning_details\":[{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqwxL0Nl6Jl5EZuOLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "data: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\"**Calculating a simple addition**\\n\\nThe\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" user\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" wants\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" me\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" to\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" add\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" 7\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" to\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" the\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" previous\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" final\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" answer\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\",\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" which\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" was\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" 400\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\".\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\" This\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"resp_014406f0f45e19c6016ac312f49b9c87d2afc60121b8910612\",\"object\":\"chat.completion.chunk\",\"created\":1791169269,\"model\":\"openai-gpt-54-mini\",\"Line truncated
+      }
+    }
+  ]
+}
@@ -0,0 +1,35 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:venice-chat",
+      "provider:venice",
+      "protocol:venice-chat",
+      "text",
+      "reasoning",
+      "toggle"
+    ],
+    "name": "venice-chat/qwen-disables-reasoning",
+    "recordedAt": "2026-10-05T02:59:04.614Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.venice.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"qwen3-6-27b\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 23 multiplied by 17 plus 9? Reply with just the number.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"reasoning\":{\"enabled\":false},\"venice_parameters\":{\"include_venice_system_prompt\":false}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "data: {\"service_tier\":null,\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\",\"reasoning_content\":null,\"tool_calls\":null},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null}\n\ndata: {\"service_tier\":\"default\",\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\",\"reasoning_content\":null,\"tool_calls\":null},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null}\n\ndata: {\"service_tier\":\"default\",\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":null,\"content\":\"4\",\"reasoning_content\":null,\"tool_calls\":null},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null}\n\ndata: {\"service_tier\":\"default\",\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":null,\"content\":\"0\",\"reasoning_content\":null,\"tool_calls\":null},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null}\n\ndata: {\"service_tier\":\"default\",\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":null,\"content\":\"0\",\"reasoning_content\":null,\"tool_calls\":null},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null}\n\ndata: {\"service_tier\":\"default\",\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":null,\"content\":\"\",\"reasoning_content\":null,\"tool_calls\":null},\"logprobs\":null,\"finish_reason\":\"stop\"}]}\n\ndata: {\"service_tier\":\"default\",\"id\":\"chatcmpl-RxYUpStKYw7YgEZcXjsb2dOt\",\"object\":\"chat.completion.chunk\",\"created\":1791169144,\"model\":\"qwen3-6-27b\",\"choices\":[],\"usage\":{\"prompt_tokens\":32,\"completion_tokens\":4,\"total_tokens\":36},\"cost\":{\"usd\":0.0000234,\"diem\":0}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,33 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:venice-chat",
+      "provider:venice",
+      "protocol:venice-chat",
+      "error"
+    ],
+    "name": "venice-chat/surfaces-venice-model-errors",
+    "recordedAt": "2026-10-05T02:59:11.768Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.venice.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"no-such-model-xyz\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"venice_parameters\":{\"include_venice_system_prompt\":false}}"
+      },
+      "response": {
+        "status": 404,
+        "headers": {
+          "content-type": "application/json; charset=utf-8"
+        },
+        "body": "{\"error\":\"Specified model not found: no-such-model-xyz. Did you mean: z-ai-glm-5-3, z-ai-glm-5-3-flash, z-ai-glm-5-turbo?\"}"
+      }
+    }
+  ]
+}
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect, Layer, Stream } from "effect"
-import { HttpClientRequest } from "effect/http"
+import { HttpClientRequest } from "effect/unstable/http"
 import { Image, ImageClient, Media } from "../src/index.js"
 import { BlackForestLabs, Fal, Google, OpenAI, Replicate, Stability, XAI, ZAI } from "../src/providers.js"
 import { it } from "./lib/effect.js"
@@ -1,6 +1,6 @@
 import { Effect, Fiber, Layer, Ref } from "effect"
 import * as TestClock from "effect/testing/TestClock"
-import { HttpClient, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/http"
+import { HttpClient, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
 import { LLMClient, RequestExecutor } from "../../src/route.js"
 import type { Service as LLMClientService } from "../../src/route/client.js"
 import type { Service as RequestExecutorService } from "../../src/route/executor.js"
@@ -2,7 +2,7 @@ import { describe, expect } from "bun:test"
 import { NodeFileSystem } from "@effect/platform-node"
 import { Effect, Ref, Schema } from "effect"
 import { FileSystem } from "effect"
-import { HttpClientRequest } from "effect/http"
+import { HttpClientRequest } from "effect/unstable/http"
 import { AIError, Media, Message } from "../src/index.js"
 import { it } from "./lib/effect.js"
 import { dynamicResponse, scriptedResponses } from "./lib/http.js"
@@ -3,7 +3,7 @@ import { mkdtemp, rm } from "node:fs/promises"
 import { tmpdir } from "node:os"
 import { join } from "node:path"
 import { Effect, Layer } from "effect"
-import { HttpClientRequest } from "effect/http"
+import { HttpClientRequest } from "effect/unstable/http"
 import { AIError, LLMEvent, Media, SpeechEvent, TranscriptionEvent } from "../src/index.js"
 import { RequestExecutor } from "../src/route.js"
 import { AI } from "../src/promise.js"
@@ -0,0 +1,26 @@
+import { LLM } from "../../src/index.js"
+import { Venice } from "../../src/providers.js"
+
+LLM.request({
+  model: Venice.chat("qwen3-6-27b"),
+  providerOptions: { reasoningEffort: "high", reasoning: { summary: "concise" }, veniceParameters: { includeVeniceSystemPrompt: false } },
+})
+LLM.request({
+  model: Venice.configure({ providerOptions: { reasoningEffort: "future-effort" } }).model("future-model"),
+  providerOptions: { reasoning: { enabled: false }, promptCacheRetention: "future-retention", parallelToolCalls: false },
+})
+LLM.request({
+  model: Venice.chat("qwen3-6-27b"),
+  // @ts-expect-error Thinking toggles are boolean.
+  providerOptions: { reasoning: { enabled: "false" } },
+})
+LLM.request({
+  model: Venice.chat("qwen3-6-27b"),
+  // @ts-expect-error Venice uses nested reasoning, not Anthropic thinking controls.
+  providerOptions: { thinking: { type: "disabled" } },
+})
+LLM.request({
+  model: Venice.chat("qwen3-6-27b"),
+  // @ts-expect-error Venice's system-prompt toggle is boolean.
+  providerOptions: { veniceParameters: { includeVeniceSystemPrompt: "false" } },
+})
@@ -7,67 +7,6 @@ const configuration = (provider: string, message: string) =>
  expect.objectContaining({ _tag: "ProviderConfiguration", provider, message })

 describe("provider package entrypoints", () => {
-  test("semantic API aliases expose the same contract", async () => {
-    const modules = await Promise.all([
-      import("@opencode/ai/providers/openai"),
-      import("@opencode/ai/providers/openai/responses"),
-      import("@opencode/ai/providers/openai/chat"),
-      import("@opencode/ai/providers/anthropic"),
-      import("@opencode/ai/providers/anthropic-compatible"),
-      import("@opencode/ai/providers/openai-compatible"),
-      import("@opencode/ai/providers/openai-compatible/responses"),
-      import("@opencode/ai/providers/amazon-bedrock"),
-      import("@opencode/ai/providers/azure"),
-      import("@opencode/ai/providers/azure/responses"),
-      import("@opencode/ai/providers/azure/chat"),
-      import("@opencode/ai/providers/google"),
-      import("@opencode/ai/providers/google-vertex"),
-      import("@opencode/ai/providers/google-vertex/gemini"),
-      import("@opencode/ai/providers/google-vertex/chat"),
-      import("@opencode/ai/providers/google-vertex/responses"),
-      import("@opencode/ai/providers/google-vertex/messages"),
-      import("@opencode/ai/providers/openrouter"),
-      import("@opencode/ai/providers/xai"),
-      import("@opencode/ai/providers/amazon-bedrock/mantle"),
-      import("@opencode/ai/providers/amazon-bedrock/mantle/chat"),
-      import("@opencode/ai/providers/amazon-bedrock/mantle/responses"),
-      import("@opencode/ai/providers/togetherai"),
-      import("@opencode/ai/providers/cerebras"),
-      import("@opencode/ai/providers/deepinfra"),
-      import("@opencode/ai/providers/groq"),
-      import("@opencode/ai/providers/baseten"),
-      import("@opencode/ai/providers/deepseek"),
-      import("@opencode/ai/providers/fireworks"),
-      import("@opencode/ai/providers/cloudflare-ai-gateway"),
-      import("@opencode/ai/providers/cloudflare-workers-ai"),
-      import("@opencode/ai/providers/minimax"),
-      import("@opencode/ai/providers/minimax/messages"),
-      import("@opencode/ai/providers/minimax/chat"),
-      import("@opencode/ai/providers/minimax/responses"),
-      import("@opencode/ai/providers/moonshot"),
-      import("@opencode/ai/providers/moonshot/chat"),
-      import("@opencode/ai/providers/moonshot/messages"),
-      import("@opencode/ai/providers/moonshot/responses"),
-      import("@opencode/ai/providers/zai"),
-      import("@opencode/ai/providers/zai/chat"),
-      import("@opencode/ai/providers/zai-coding-plan"),
-      import("@opencode/ai/providers/zai-coding-plan/chat"),
-      import("@opencode/ai/providers/zai-coding-plan/messages"),
-      import("@opencode/ai/providers/zai-coding-plan/responses"),
-      import("@opencode/ai/providers/alibaba"),
-      import("@opencode/ai/providers/alibaba/chat"),
-      import("@opencode/ai/providers/alibaba/messages"),
-      import("@opencode/ai/providers/alibaba/responses"),
-    ])
-
-    for (const module of modules) expect(module.model).toBeFunction()
-    expect(modules[0].model).toBe(modules[1].model)
-    expect(modules[8].model).toBe(modules[9].model)
-    expect(modules[12].model).toBe(modules[13].model)
-    expect(modules[19].model).toBe(modules[21].model)
-    expect(modules[19].model).not.toBe(modules[20].model)
-  })
-
  test("maps Alibaba API entrypoints onto explicit regional routes", async () => {
    const modules = await Promise.all([
      import("@opencode/ai/providers/alibaba"),
@@ -75,7 +14,6 @@ describe("provider package entrypoints", () => {
      import("@opencode/ai/providers/alibaba/messages"),
      import("@opencode/ai/providers/alibaba/responses"),
    ])
-    expect(modules[0].model).toBe(modules[1].model)
    const settings = {
      region: "eu-central-1",
      workspaceID: "llm-fixture",
@@ -103,7 +41,6 @@ describe("provider package entrypoints", () => {
      import("@opencode/ai/providers/moonshot/messages"),
      import("@opencode/ai/providers/moonshot/responses"),
    ])
-    expect(modules[0].model).toBe(modules[1].model)
    const settings = {
      apiKey: "fixture",
      baseURL: "https://gateway.example/v1",
@@ -147,7 +84,6 @@ describe("provider package entrypoints", () => {
      import("@opencode/ai/providers/minimax/chat"),
      import("@opencode/ai/providers/minimax/responses"),
    ])
-    expect(modules[0].model).toBe(modules[1].model)
    const settings = {
      apiKey: "fixture",
      baseURL: "https://gateway.example/v1",
@@ -174,8 +110,6 @@ describe("provider package entrypoints", () => {
      import("@opencode/ai/providers/zai-coding-plan/messages"),
      import("@opencode/ai/providers/zai-coding-plan/responses"),
    ])
-    expect(modules[0].model).toBe(modules[1].model)
-    expect(modules[2].model).toBe(modules[3].model)
    const routes = [
      "zai-chat",
      "zai-chat",
@@ -458,7 +392,6 @@ describe("provider package entrypoints", () => {

  test("selects Vertex entrypoints with the same model contract", async () => {
    const GoogleVertex = await import("@opencode/ai/providers/google-vertex")
-    const GoogleVertexGemini = await import("@opencode/ai/providers/google-vertex/gemini")
    const GoogleVertexChat = await import("@opencode/ai/providers/google-vertex/chat")
    const GoogleVertexResponses = await import("@opencode/ai/providers/google-vertex/responses")
    const GoogleVertexMessages = await import("@opencode/ai/providers/google-vertex/messages")
@@ -483,7 +416,6 @@ describe("provider package entrypoints", () => {
      project: "vertex-project",
    })

-    expect(GoogleVertexGemini.model).toBe(GoogleVertex.model)
    expect(gemini.route.id).toBe("google-vertex-gemini")
    expect(gemini.route.protocol).toBe("gemini")
    expect(gemini.route.endpoint.baseURL).toBe("https://aiplatform.googleapis.com/v1/publishers/google")
@@ -1,6 +1,6 @@
 import { expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
-import { Headers } from "effect/http"
+import { Headers } from "effect/unstable/http"
 import { Auth, LLM, LLMClient, LLMRequest, Message, ReasoningPart, ToolDefinition } from "../../src/index.js"
 import { Alibaba } from "../../src/providers.js"
 import { compileRequest } from "../../src/route/client.js"
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { HttpClientRequest } from "effect/http"
+import { HttpClientRequest } from "effect/unstable/http"
 import {
  CacheHint,
  LLM,
@@ -431,42 +431,115 @@ describe("Anthropic Messages route", () => {
        (yield* compileRequest(
          LLM.request({
            model: opus48,
-            messages: [Message.user("Before."), Message.system("One."), Message.system("Two.")],
+            messages: [
+              Message.user("Start."),
+              Message.assistant("One."),
+              Message.system("Update."),
+              Message.assistant("Two."),
+            ],
            cache: "none",
          }),
        )).body.messages,
      ).toEqual([
-        {
-          role: "user",
-          content: [
-            { type: "text", text: "Before." },
-            { type: "text", text: "<system-update>\nOne.\n</system-update>" },
-            { type: "text", text: "<system-update>\nTwo.\n</system-update>" },
-          ],
-        },
+        { role: "user", content: [{ type: "text", text: "Start." }] },
+        { role: "assistant", content: [{ type: "text", text: "One." }] },
+        { role: "user", content: [{ type: "text", text: "<system-update>\nUpdate.\n</system-update>" }] },
+        { role: "assistant", content: [{ type: "text", text: "Two." }] },
      ])
    }),
  )

-  it.effect("keeps a terminal Vertex system update in the tool-result turn", () =>
+  it.effect("moves system updates to the next assistant turn and sends consecutive updates together", () =>
+    Effect.gen(function* () {
+      const lower = (messages: ReadonlyArray<Message>) =>
+        compileRequest(LLM.request({ model: opus48, messages: [...messages], cache: "none" })).pipe(
+          Effect.map((prepared) => prepared.body.messages),
+        )
+      const system = (text: string) => ({ role: "system", content: [{ type: "text", text, cache_control: undefined }] })
+      const user = (text: string) => ({ role: "user", content: [{ type: "text", text }] })
+      const assistant = (text: string) => ({ role: "assistant", content: [{ type: "text", text }] })
+
+      expect(
+        yield* lower([
+          Message.user("Fix it."),
+          Message.assistant("Done."),
+          Message.system("Update."),
+          Message.user("Next."),
+        ]),
+      ).toEqual([user("Fix it."), assistant("Done."), user("Next."), system("Update.")])
+      expect(yield* lower([Message.user("Before."), Message.system("One."), Message.system("Two.")])).toEqual([
+        user("Before."),
+        system("One."),
+        system("Two."),
+      ])
+      expect(
+        yield* lower([
+          Message.user("Fix it."),
+          Message.assistant("Done."),
+          Message.system("One."),
+          Message.user("Next."),
+          Message.system("Two."),
+          Message.assistant("After."),
+        ]),
+      ).toEqual([
+        user("Fix it."),
+        assistant("Done."),
+        user("Next."),
+        system("One."),
+        system("Two."),
+        assistant("After."),
+      ])
+      expect(
+        yield* lower([
+          Message.user("Use the tool."),
+          Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })]),
+          Message.tool({ id: "call_1", name: "lookup", result: "Done." }),
+          Message.system("Update."),
+          Message.user("Also check tests."),
+        ]),
+      ).toEqual([
+        user("Use the tool."),
+        { 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."' }] },
+        user("Also check tests."),
+        system("Update."),
+      ])
+    }),
+  )
+
+  it.effect("keeps wrapped system updates in place for models without native system updates", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: vertexOpus48,
+          model,
          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.user("Fix it."),
+            Message.assistant("Done."),
+            Message.system("Update."),
+            Message.user("Next."),
          ],
          cache: "none",
        }),
      )

      expect(prepared.body.messages).toEqual([
-        {
-          role: "assistant",
-          content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }],
-        },
+        { role: "user", content: [{ type: "text", text: "Fix it." }] },
+        { role: "assistant", content: [{ type: "text", text: "Done." }] },
+        { role: "user", content: [{ type: "text", text: "<system-update>\nUpdate.\n</system-update>" }] },
+        { role: "user", content: [{ type: "text", text: "Next." }] },
+      ])
+    }),
+  )
+
+  it.effect("sends Vertex system updates after local tool results as native system messages", () =>
+    Effect.gen(function* () {
+      const toolTurn = [
+        Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })]),
+        Message.tool({ id: "call_1", name: "lookup", result: "Done." }),
+        Message.system("Operator update."),
+      ]
+      const lowered = [
+        { role: "assistant", content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }] },
        {
          role: "user",
          content: [
@@ -477,55 +550,23 @@ describe("Anthropic Messages route", () => {
              is_error: undefined,
              cache_control: undefined,
            },
-            {
-              type: "text",
-              text: "<system-update>\nOperator update.\n</system-update>",
-              cache_control: undefined,
-            },
          ],
        },
-      ])
-    }),
-  )
+        { role: "system", content: [{ type: "text", text: "Operator update.", cache_control: undefined }] },
+      ]

-  it.effect("preserves folded tool-result system updates across multi-turn Vertex history", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
+      const terminal = yield* compileRequest(LLM.request({ model: vertexOpus48, messages: toolTurn, cache: "none" }))
+      const history = 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."),
-          ],
+          messages: [...toolTurn, 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,
-            },
-          ],
-        },
+      expect(terminal.body.messages).toEqual(lowered)
+      expect(history.body.messages).toEqual([
+        ...lowered,
        { role: "assistant", content: [{ type: "text", text: "Acknowledged." }] },
        { role: "user", content: [{ type: "text", text: "Next step." }] },
      ])
@@ -1,9 +1,8 @@
 import { EventStreamCodec } from "@smithy/eventstream-codec"
 import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
 import { describe, expect } from "bun:test"
-import { Effect, Ref, Schema, Stream } from "effect"
-import { Base64 } from "effect/encoding"
-import { HttpClientRequest } from "effect/http"
+import { Effect, Encoding, Ref, Schema, Stream } from "effect"
+import { HttpClientRequest } from "effect/unstable/http"
 import {
  Media,
  CacheHint,
@@ -866,7 +865,7 @@ describe("Bedrock Converse route", () => {
          reason: { _tag: "InvalidProviderOutput", classification: "incomplete-stream" },
          message: `Incomplete Bedrock Converse event-stream frame: ${partial.length} buffered bytes remain at end of stream`,
        })
-        expect(error.reason.body).toBe(Base64.encode(partial))
+        expect(error.reason.body).toBe(Encoding.encodeBase64(partial))
      }
    }),
  )
@@ -1,9 +1,8 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { HttpClientRequest } from "effect/http"
-import { LLM, Message } from "../../src/index.js"
+import { HttpClientRequest } from "effect/unstable/http"
+import { LLM, LLMEvent, LLMRequest, Message, ToolDefinition } from "../../src/index.js"
 import { AmazonBedrockMantle } from "../../src/providers.js"
-import { model } from "../../src/providers/amazon-bedrock/mantle.js"
 import { OpenResponses } from "../../src/protocols/open-responses.js"
 import { compileRequest, LLMClient } from "../../src/route/client.js"
 import { it } from "../lib/effect.js"
@@ -19,14 +18,14 @@ const credentials = {
 }

 describe("Amazon Bedrock Mantle provider", () => {
-  it.effect("uses Responses by default and exposes Chat explicitly", () =>
+  it.effect("uses Responses by default and exposes Chat and Messages explicitly", () =>
    Effect.gen(function* () {
      const provider = AmazonBedrockMantle.configure({ credentials })
-      expect(provider.model).toBe(provider.responses)
-      expect(AmazonBedrockMantle.model).toBe(AmazonBedrockMantle.responsesModel)
-      expect(model).toBe(AmazonBedrockMantle.responsesModel)
      expect(provider.model("openai.gpt-oss-120b").route.transport).toBe(OpenResponses.httpTransport)
      const chat = yield* compileRequest(LLM.request({ model: provider.chat("openai.gpt-oss-120b"), prompt: "Hi" }))
+      const messages = yield* compileRequest(
+        LLM.request({ model: provider.messages("anthropic.claude-opus-4-8"), prompt: "Hi", cache: "none" }),
+      )
      const responses = yield* compileRequest(
        LLM.request({ model: provider.model("openai.gpt-oss-120b"), prompt: "Hi" }),
      )
@@ -36,6 +35,11 @@ describe("Amazon Bedrock Mantle provider", () => {
        protocol: "openai-chat",
        body: { model: "openai.gpt-oss-120b" },
      })
+      expect(messages).toMatchObject({
+        route: "bedrock-mantle-messages",
+        protocol: "anthropic-messages",
+        body: { model: "anthropic.claude-opus-4-8", stream: true },
+      })
      expect(responses).toMatchObject({
        route: "bedrock-mantle-responses",
        protocol: "open-responses",
@@ -43,43 +47,77 @@ describe("Amazon Bedrock Mantle provider", () => {
      })
      expect(provider.model("openai.gpt-oss-120b").route.providerMetadataKey).toBe("mantle")
      expect(provider.chat("openai.gpt-oss-120b").route.providerMetadataKey).toBe("mantle")
+      expect(provider.messages("anthropic.claude-opus-4-8").route.providerMetadataKey).toBe("mantle")
    }),
  )

-  it.effect("preserves configured top-p generation defaults for Chat and Responses", () =>
+  it.effect("preserves configured top-p generation defaults for Chat, Messages, and Responses", () =>
    Effect.gen(function* () {
      const settings = { apiKey: "test-key", topP: 0.8 }
      const chat = yield* compileRequest(
        LLM.request({ model: AmazonBedrockMantle.chatModel("openai.gpt-oss-safeguard-20b", settings), prompt: "Hi" }),
      )
+      const messages = yield* compileRequest(
+        LLM.request({ model: AmazonBedrockMantle.messagesModel("anthropic.claude-opus-4-8", settings), prompt: "Hi" }),
+      )
      const responses = yield* compileRequest(
        LLM.request({ model: AmazonBedrockMantle.responsesModel("openai.gpt-oss-120b", settings), prompt: "Hi" }),
      )

      expect(chat.body.top_p).toBe(0.8)
+      expect(messages.body.top_p).toBe(0.8)
      expect(responses.body.top_p).toBe(0.8)
    }),
  )

-  it.effect("uses the Mantle endpoint and signing service", () =>
+  it.effect("uses the Mantle endpoint and signing service across Responses and Messages", () =>
    Effect.gen(function* () {
      const seen: Array<{ readonly url: string; readonly authorization: string | undefined }> = []
-      const model = AmazonBedrockMantle.configure({ credentials, region: "us-west-1" }).responses("openai.gpt-oss-120b")
-      yield* LLMClient.generate(LLM.request({ model, prompt: "Hi" })).pipe(
-        Effect.provide(
-          dynamicResponse((input) =>
-            Effect.gen(function* () {
-              const request = yield* HttpClientRequest.toWeb(input.request)
-              seen.push({ url: request.url, authorization: request.headers.get("authorization") ?? undefined })
-              return input.respond("", { headers: { "content-type": "text/event-stream" } })
-            }),
+      const configured = AmazonBedrockMantle.configure({ credentials, region: "us-west-1" })
+      for (const selected of [
+        configured.responses("openai.gpt-oss-120b"),
+        configured.messages("anthropic.claude-opus-4-8"),
+      ]) {
+        yield* LLMClient.generate(LLM.request({ model: selected, prompt: "Hi" })).pipe(
+          Effect.provide(
+            dynamicResponse((input) =>
+              Effect.gen(function* () {
+                const request = yield* HttpClientRequest.toWeb(input.request)
+                seen.push({ url: request.url, authorization: request.headers.get("authorization") ?? undefined })
+                return input.respond("", { headers: { "content-type": "text/event-stream" } })
+              }),
+            ),
          ),
-        ),
-        Effect.flip,
+          Effect.flip,
+        )
+      }
+
+      expect(seen.map((item) => item.url)).toEqual([
+        "https://bedrock-mantle.us-west-1.api.aws/v1/responses",
+        "https://bedrock-mantle.us-west-1.api.aws/anthropic/v1/messages",
+      ])
+      expect(seen.every((item) => item.authorization?.includes("/us-west-1/bedrock-mantle/aws4_request"))).toBe(true)
+    }).pipe(withProcessEnv({ AWS_BEARER_TOKEN_BEDROCK: undefined })),
+  )
+
+  it.effect("applies inline cache breakpoints on Mantle Messages", () =>
+    Effect.gen(function* () {
+      const model = AmazonBedrockMantle.configure({ apiKey: "test-key" }).messages("anthropic.claude-opus-4-8")
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model,
+          system: "You are concise.",
+          messages: [Message.user("Hello")],
+          cache: "auto",
+        }),
      )

-      expect(seen[0]?.url).toBe("https://bedrock-mantle.us-west-1.api.aws/v1/responses")
-      expect(seen[0]?.authorization).toContain("/us-west-1/bedrock-mantle/aws4_request")
+      expect(prepared.body.system).toEqual([
+        { type: "text", text: "You are concise.", cache_control: { type: "ephemeral" } },
+      ])
+      expect(prepared.body.messages).toEqual([
+        { role: "user", content: [{ type: "text", text: "Hello", cache_control: { type: "ephemeral" } }] },
+      ])
    }),
  )

@@ -201,3 +239,198 @@ describe("Amazon Bedrock Mantle recorded", () => {
    }),
  )
 })
+
+const recordedMessages = recordedTests({
+  prefix: "bedrock-mantle-messages",
+  provider: "amazon-bedrock",
+  protocol: "anthropic-messages",
+  requires: ["AWS_BEARER_TOKEN_BEDROCK"],
+  options: { redact: { allowRequestHeaders: ["anthropic-version", "anthropic-beta"] } },
+})
+
+const mantleMessages = (modelID: string) =>
+  AmazonBedrockMantle.configure({
+    apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
+    region: "us-east-1",
+  }).messages(modelID)
+
+const weatherTool = ToolDefinition.make({
+  name: "get_weather",
+  description: "Get the current weather in a city",
+  inputSchema: {
+    type: "object",
+    properties: { city: { type: "string", enum: ["Paris"] } },
+    required: ["city"],
+    additionalProperties: false,
+  },
+})
+
+describe("Amazon Bedrock Mantle Messages recorded", () => {
+  recordedMessages.effect.with(
+    "replays signed thinking through a tool loop and native system update",
+    { tags: ["tool", "tool-loop", "reasoning", "system-update"], metadata: { model: "anthropic.claude-opus-4-8" } },
+    () =>
+      Effect.gen(function* () {
+        const model = mantleMessages("anthropic.claude-opus-4-8")
+        const initial = LLM.request({
+          model,
+          system: "You are a concise assistant.",
+          prompt:
+            "First calculate 37 * 43. Then call get_weather for Paris. After receiving the tool result, state both the product and the weather.",
+          tools: [weatherTool],
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "medium",
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const first = yield* LLMClient.generate(initial)
+        expect(first.finishReason.normalized).toBe("tool-calls")
+        expect(first.toolCalls).toMatchObject([{ name: "get_weather", input: { city: "Paris" } }])
+        expect(first.reasoning.length).toBeGreaterThan(0)
+        expect(first.events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+        const reasoningPart = first.message.content.find((part) => part.type === "reasoning")
+        const signature = (reasoningPart?.providerMetadata?.mantle as { readonly signature?: unknown } | undefined)
+          ?.signature
+        expect(typeof signature).toBe("string")
+
+        const followUp = LLMRequest.update(initial, {
+          messages: [
+            ...initial.messages,
+            first.message,
+            ...first.toolCalls.map((call) =>
+              Message.tool({ id: call.id, name: call.name, result: { condition: "sunny", temperatureC: 18 } }),
+            ),
+            Message.system("Reply in French in one short sentence."),
+          ],
+        })
+        const compiled = yield* compileRequest(followUp)
+        expect(compiled.body.messages[1]?.content[0]).toEqual({
+          type: "thinking",
+          thinking: first.reasoning,
+          signature: signature as string,
+        })
+        expect(compiled.body.messages.at(-1)).toEqual({
+          role: "system",
+          content: [
+            { type: "text", text: "Reply in French in one short sentence.", cache_control: { type: "ephemeral" } },
+          ],
+        })
+
+        const second = yield* LLMClient.generate(followUp)
+        expect(second.finishReason.normalized).toBe("stop")
+        expect(second.text).toContain("1591")
+        expect(second.text).toContain("18")
+      }),
+    120_000,
+  )
+
+  recordedMessages.effect.with(
+    "lowers system updates to wrapped user text on Haiku 4.5 with budget thinking",
+    { tags: ["reasoning", "system-update"], metadata: { model: "anthropic.claude-haiku-4-5" } },
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model: mantleMessages("anthropic.claude-haiku-4-5"),
+          messages: [Message.user("What is 19 multiplied by 23?"), Message.system("Reply with only the integer.")],
+          providerOptions: {
+            thinking: { type: "enabled", budgetTokens: 1024 },
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const compiled = yield* compileRequest(request)
+        expect(compiled.body.thinking).toEqual({ type: "enabled", budget_tokens: 1024 })
+        expect(compiled.body.messages.some((message) => message.role === "system")).toBe(false)
+
+        const response = yield* LLMClient.generate(request)
+        expect(response.finishReason.normalized).toBe("stop")
+        expect(response.reasoning.length).toBeGreaterThan(0)
+        expect(response.text.trim()).toContain("437")
+      }),
+    120_000,
+  )
+
+  recordedMessages.effect.with(
+    "applies mid-conversation effort updates and thinking block binding on Opus 5.5",
+    { tags: ["reasoning", "effort-update"], metadata: { model: "anthropic.claude-opus-5-5" } },
+    () =>
+      Effect.gen(function* () {
+        const model = mantleMessages("anthropic.claude-opus-5-5")
+        const firstRequest = LLM.request({
+          model,
+          prompt: "Compute 37 * 43 step by step, then reply with only the integer.",
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "high",
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const firstCompiled = yield* compileRequest(firstRequest)
+        expect(firstCompiled.body.thinking).toEqual({
+          type: "adaptive",
+          display: "summarized",
+          block_binding: { prefix_mismatch_behavior: "drop_block" },
+        })
+
+        const first = yield* LLMClient.generate(firstRequest)
+        expect(first.finishReason.normalized).toBe("stop")
+        expect(first.reasoning.length).toBeGreaterThan(0)
+        expect(first.text.replaceAll(",", "")).toContain("1591")
+
+        const secondRequest = LLM.request({
+          model,
+          messages: [
+            ...firstRequest.messages,
+            first.message,
+            Message.effort({ effort: "low", previous: "high" }),
+            Message.user("Add 9 to that result. Reply with only the integer."),
+          ],
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "low",
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const secondCompiled = yield* compileRequest(secondRequest)
+        expect(secondCompiled.body.output_config).toEqual({ effort: "high" })
+        expect(secondCompiled.body.messages.filter((message) => message.role === "system")).toEqual([
+          { role: "system", content: [], output_config: { effort: "low" } },
+        ])
+
+        const second = yield* LLMClient.generate(secondRequest)
+        expect(second.finishReason.normalized).toBe("stop")
+        expect(second.text.replaceAll(",", "")).toContain("1600")
+      }),
+    120_000,
+  )
+
+  recordedMessages.effect.with(
+    "strips unsupported mid-conversation effort updates on Opus 5.0",
+    { tags: ["reasoning", "effort-update"], metadata: { model: "anthropic.claude-opus-5" } },
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model: mantleMessages("anthropic.claude-opus-5"),
+          messages: [
+            Message.user("What is 12 + 30?"),
+            Message.assistant("42"),
+            Message.effort({ effort: "low", previous: "high" }),
+            Message.user("Add 8 to that result. Reply with only the integer."),
+          ],
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "low",
+          },
+          generation: { maxTokens: 1024 },
+        })
+        const compiled = yield* compileRequest(request)
+        expect(compiled.body.output_config).toEqual({ effort: "low" })
+        expect(compiled.body.messages.some((message) => message.role === "system")).toBe(false)
+
+        const response = yield* LLMClient.generate(request)
+        expect(response.finishReason.normalized).toBe("stop")
+        expect(response.text.trim()).toContain("50")
+      }),
+    120_000,
+  )
+})
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { ConfigProvider, Effect, Schema } from "effect"
-import { HttpClientRequest } from "effect/http"
+import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMEvent } from "../../src/index.js"
 import { CloudflareAIGateway } from "../../src/providers/cloudflare-ai-gateway.js"
 import { CloudflareWorkersAI } from "../../src/providers/cloudflare-workers-ai.js"
Author	SHA1	Message	Date
Kit Langton	2fb589aa7c	fix(cli,tui): handle global cache rewrites and query-suffixed paths	2026-10-06 07:48:17 -07:00
Kit Langton	1573bf153d	refactor(cli): simplify plugin runtime specifier resolution and tests	2026-10-06 00:43:55 -07:00
Kit Langton	cdb5ac2c04	fix(cli,tui): handle dynamic TUI plugin host imports and cold require	2026-10-05 23:48:49 -07:00
Kit Langton	732d4c6c05	refactor(cli): simplify plugin runtime discovery and tests	2026-10-05 22:43:32 -07:00
Kit Langton	5c8485ab15	fix(cli,tui): redirect workspace file:// rewrites and guard TUI test fixtures	2026-10-05 18:20:06 -07:00
Kit Langton	3c7afcc943	fix(cli,tui,plugin): avoid OpenTUI Effect rewrites and resolve exported host specifiers	2026-10-05 17:50:48 -07:00
Kit Langton	72780ce469	refactor(cli): simplify host plugin runtime registration and tests	2026-10-05 15:31:41 -07:00
Kit Langton	dd98eee547	test(core,tui): trim Effect fixture copy in plugin runtime tests	2026-10-05 14:23:21 -07:00
Kit Langton	7d01abfb67	fix(cli): give plugins the host's Effect	2026-10-05 12:43:11 -07:00
David Hill	4ed2978a30	fix(stats): align chart dot grid with bars (#52676 )	2026-10-05 14:21:36 -05:00
Kit Langton	944959566f	fix(core): exclude non-text models from catalog and default selection (#53295 )	2026-10-05 19:14:33 +00:00
Kit Langton	a701129184	fix(core): release unread Console config responses (#53409 )	2026-10-05 18:59:54 +00:00
Filip	54630586a7	Revert "fix: include neriousy in Windows issue triage" (#53408 )	2026-10-05 20:43:54 +02:00
Filip	2a8f7f59a0	fix: include neriousy in Windows issue triage (#53407 )	2026-10-05 20:42:49 +02:00
Aiden Cline	40fd54aabb	refactor(ai): preserve unknown event fields in AnthropicMessages and OpenResponses (#53405 )	2026-10-05 13:32:41 -05:00
Filip	0c11c8fc2f	fix(core): route completions-shaped Azure catalog models to chat (#53395 )	2026-10-05 20:28:57 +02:00
Aiden Cline	7725ac81eb	feat(core): allow shell for explore (#53284 )	2026-10-05 13:12:54 -05:00
Filip	4aba11e9d5	fix(core): report MCP OAuth token exchange failures on the callback page (#53378 )	2026-10-05 18:12:58 +02:00
Kit Langton	25909277aa	fix(core): make the portable bash scanner sound against real shells (#53277 )	2026-10-05 09:05:30 -07:00
Kit Langton	e2d540042a	refactor(client): share startup attempt bookkeeping between clients (#53240 )	2026-10-05 08:18:09 -07:00
opencode-agent[bot]andjlongster	ef07075156	fix(tui): drop error icon from exploration groups (#53363 ) Co-authored-by: jlongster <17031+jlongster@users.noreply.github.com>	2026-10-05 10:24:52 -04:00
opencode-agent[bot]andnexxeln	eb2f0d5e5d	fix(tui): keep the subagent activity filter across navigation (#53318 ) Co-authored-by: nexxeln <95541290+nexxeln@users.noreply.github.com>	2026-10-05 19:24:45 +05:30
mlimarenko Mikhail Limarenko Filip Hejmowski	f28f62439e	fix(core): preserve subagent text block boundaries (#53040 ) Co-authored-by: Mikhail Limarenko <m.limarenko@piping.space> Co-authored-by: Filip Hejmowski <hejmowskifilip@gmail.com>	2026-10-05 15:38:22 +02:00
Filip	1732ce1eeb	fix(core): stop instruction walk at case-variant Windows project roots (#53349 )	2026-10-05 15:10:22 +02:00
opencode-agent[bot]	e3c3786f43	chore(core): refresh bundled models.dev snapshot	2026-10-05 12:23:10 +00:00
Victor Navarro	759175abad	fix(tui): untangle crossing branches in mermaid flowcharts (#53325 )	2026-10-05 13:22:09 +02:00
Shoubhit Dash	88dd4417c7	refactor(acp): simplify the turn fold (#52826 )	2026-10-05 15:07:41 +05:30
opencode-agent[bot]andOpeOginni	4fb800734d	feat(app): restore the session location missing prompt (#53268 ) Co-authored-by: OpeOginni <107570612+OpeOginni@users.noreply.github.com>	2026-10-05 17:16:22 +08:00
Shoubhit Dash	473e4a960d	refactor(acp): simplify config options and catalog (#52825 )	2026-10-05 14:43:10 +05:30
Brendan Allan	2dfd08edc9	refactor(app): record /btw chats without waiting for the store to load (#53312 )	2026-10-05 08:53:27 +00:00
Luke Parker	45e8c02bcc	chore(ci): skip workflows for the release version-sync commit (#53310 )	2026-10-05 18:49:34 +10:00
Luke Parker	938baed23b	fix(desktop): keep each file's sha512 in update manifests (#53309 )	2026-10-05 18:35:00 +10:00
opencode-agent[bot]Brendonovich Brendan Allan	494d70707b	feat(app): keep each /btw answer in its own tab until closed (#53270 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com> Co-authored-by: Brendan Allan <git@brendonovich.dev>	2026-10-05 08:13:34 +00:00
Luke Parker	eab83d63fd	fix(app): keep the phone titlebar clear of the iOS status bar blur (#53297 )	2026-10-05 18:12:38 +10:00
Kit Langton	fad352c5d0	refactor(client): share the service health probe between clients (#53237 )	2026-10-04 22:58:58 -07:00
Luke Parker	e1b94a138e	fix(app): keep Working while reads join a read group (#53292 )	2026-10-05 05:39:32 +00:00
opencode	9e96aacd64	sync release versions for v2.0.23	2026-10-05 05:24:44 +00:00
Aiden Cline	e19263ca87	fix(ai): send effort updates on the Vertex Claude route (#53289 )	2026-10-05 00:11:18 -05:00
Luke Parker	63e33bc4dc	fix(cli): let the web app start the QR scanner worker (#53278 )	2026-10-05 14:53:49 +10:00
Kit Langton	999097bdac	fix(client): preserve background service startup failures (#50784 )	2026-10-04 21:53:34 -07:00
Kit Langton	515b3022ac	fix(cli): retry managed service binds after temporary conflicts (#50782 )	2026-10-04 21:33:43 -07:00
Aiden ClineandPadure Sergio	cb389aa679	fix(core): honor compaction agent model for summaries (#53276 ) Co-authored-by: Padure Sergio <70955746+sergiopadure@users.noreply.github.com>	2026-10-04 23:20:24 -05:00
Aiden Cline	30f4119459	fix(ai): place Anthropic system updates before the next assistant turn (#52568 )	2026-10-04 23:17:15 -05:00
opencode-agent[bot]	4d17cf719f	chore: update nix node_modules hashes	2026-10-05 04:15:19 +00:00
Aiden Cline	498b1deda3	feat(ai): add native Venice provider (#53271 )	2026-10-04 23:06:43 -05:00
Kit Langton	25c54cbdf7	fix(client): wait for service shutdown before restart (#50042 )	2026-10-04 20:59:19 -07:00
Luke Parker	ae57dd0cf5	fix(app): close the running menu before opening a subagent (#53273 )	2026-10-05 13:58:19 +10:00
usrnk1andLuke Parker	e86ec98711	feat(desktop): move review controls into their panels (#51312 ) Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>	2026-10-05 03:18:48 +00:00
Luke Parker	c542a43503	fix(cli): indent every row of the pairing QR code on Windows (#53265 )	2026-10-05 03:02:36 +00:00
Luke Parker	2db9c2e1b3	fix(app): match TUI inbox, steer, queue, and revert behavior (#53076 )	2026-10-05 12:54:06 +10:00
Luke Parker	3a861ff8b0	feat(app): show running subagents and shells in the session header (#53247 )	2026-10-05 12:30:44 +10:00
Aiden Cline	22803892bc	feat(ai): support Anthropic Messages on Bedrock Mantle (#53073 )	2026-10-04 20:51:33 -05:00
Aiden Cline	69ba898a7b	perf(ai): lazily parse partial JSON on tool-input-delta (#53255 )	2026-10-04 20:41:46 -05:00
opencode-agent[bot]andrekram1-node	375ff827aa	feat(tui): show read ranges after file paths (#53250 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-04 20:14:48 -05:00
Luke Parker	ed747091e9	fix(gui-extensions): hold agent previews for sessions that are not on screen (#53249 )	2026-10-05 00:56:05 +00:00
Aiden Cline	44193bd71f	refactor(ai): untrace stream event handlers and inner protocol helpers (#53232 )	2026-10-04 19:43:29 -05:00
Aiden Cline	238d4cf5ca	refactor(ai): simplify sseFraming and untrace inner request-lowering helpers (#53072 )	2026-10-04 16:27:06 -05:00
Kit Langton	3e77d5c170	fix(client): preserve service on protocol-only reconnect mismatch (#50825 )	2026-10-04 13:30:43 -07:00