chore: merge Effect rc.118 upgrade

test(server): cover the session log SSE failure event
Serve the real session.log declaration and verify that a mid-stream defect is written as the reserved effect/http-api/stream/failure event and that the generated Effect client fails the stream with the server's defect after delivering earlier items.
2026-10-02 21:46:18 +00:00 · 2026-10-02 14:36:28 -07:00 · 2026-10-02 14:34:03 -07:00 · 2026-10-02 14:17:30 -07:00 · 2026-10-02 14:17:30 -07:00 · 2026-10-02 14:09:32 -07:00
511 changed files with 6262 additions and 2244 deletions
@@ -94,12 +94,6 @@ jobs:
          git config --global user.email "bot@opencode.ai"
          git config --global user.name "opencode"

-      - name: Install ffmpeg
-        if: runner.os == 'Linux'
-        run: |
-          sudo apt-get update
-          sudo apt-get install --yes ffmpeg
-
      - name: Cache Turbo
        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
        with:
@@ -118,7 +118,7 @@
        "opencode2": "./bin/opencode2.cjs",
      },
      "dependencies": {
-        "@agentclientprotocol/sdk": "1.2.1",
+        "@agentclientprotocol/sdk": "1.6.0",
        "@clack/core": "1.0.0-alpha.1",
        "@clack/prompts": "1.0.0-alpha.1",
        "@effect/platform-node": "catalog:",
@@ -194,7 +194,7 @@
        "zod": "catalog:",
      },
      "peerDependencies": {
-        "effect": "4.0.0-rc.112",
+        "effect": "4.0.0-rc.118",
        "solid-js": ">=1.9.0",
      },
      "optionalPeers": [
@@ -406,6 +406,7 @@
        "@types/node": "catalog:",
        "@types/which": "3.0.4",
        "drizzle-kit": "catalog:",
+        "fast-check": "catalog:",
      },
    },
    "packages/desktop": {
@@ -555,7 +556,7 @@
      "name": "@opencode/http-recorder",
      "version": "2.0.21",
      "dependencies": {
-        "@effect/platform-node-shared": "4.0.0-rc.112",
+        "@effect/platform-node-shared": "4.0.0-rc.118",
      },
      "devDependencies": {
        "@effect/platform-node": "catalog:",
@@ -1147,10 +1148,10 @@
  "catalog": {
    "@cloudflare/workers-types": "4.20251008.0",
    "@corvu/drawer": "0.2.4",
-    "@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",
+    "@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",
    "@hono/standard-validator": "0.2.0",
    "@hono/zod-validator": "0.4.2",
    "@kobalte/core": "0.13.13",
@@ -1190,7 +1191,8 @@
    "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.112",
+    "effect": "4.0.0-rc.118",
+    "fast-check": "4.9.0",
    "fuzzysort": "3.1.0",
    "get-east-asian-width": "1.6.0",
    "hono": "4.10.7",
@@ -1230,7 +1232,7 @@

    "@adobe/css-tools": ["@adobe/css-tools@4.5.0", "", {}, "sha512-6OzddxPio9UiWTCemp4N8cYLV2ZN1ncRnV1cVGtve7dhPOtRkleRyx32GQCYSwDYgaHU3USMm84tNsvKzRCa1Q=="],

-    "@agentclientprotocol/sdk": ["@agentclientprotocol/sdk@1.2.1", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-jwYUdOQR7tc+Zfch53VL4JJyUNK/46q03uUTYb+PjECsmnNl94XFXOfYLJ8RBpMNidXd1rpOAVgb0vqD98xImA=="],
+    "@agentclientprotocol/sdk": ["@agentclientprotocol/sdk@1.6.0", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-XxXrmX7aZkDgOB0Rg9cu+ZFyiUUc5lF2n9seO3Gc4OR+MTdfZOwIqF6m3LvsmmM8K3qgPmXkDH8/IFM2u9vdcQ=="],

    "@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],

@@ -1722,13 +1724,13 @@

    "@drizzle-team/brocli": ["@drizzle-team/brocli@0.12.0", "", {}, "sha512-mlUE+rZ8CatQekLhnaiN91Iemdd+e2gFKooGlnRB3oPTL3VghLfX24dx7HrzMNeC1JrIB/0kpsfyty3f5HNfxQ=="],

-    "@effect/opentelemetry": ["@effect/opentelemetry@4.0.0-rc.112", "", { "peerDependencies": { "@opentelemetry/api": ">=1.9.0 <2.0.0", "@opentelemetry/api-logs": ">=0.203.0 <0.300.0", "@opentelemetry/resources": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-logs": ">=0.203.0 <0.300.0", "@opentelemetry/sdk-metrics": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-trace-base": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-trace-node": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-trace-web": ">=2.0.0 <3.0.0", "@opentelemetry/semantic-conventions": ">=1.33.0 <2.0.0", "effect": "^4.0.0-rc.112" }, "optionalPeers": ["@opentelemetry/api", "@opentelemetry/api-logs", "@opentelemetry/resources", "@opentelemetry/sdk-logs", "@opentelemetry/sdk-metrics", "@opentelemetry/sdk-trace-base", "@opentelemetry/sdk-trace-node", "@opentelemetry/sdk-trace-web"] }, "sha512-OTRv1DxTHUmnakgJ6XVM8wVgF1KgZH4UXnOemwSLUwUjXO+RCikzF8oR/rlVmOGq81KtQzj1URM4M4nchlQOuQ=="],
+    "@effect/opentelemetry": ["@effect/opentelemetry@4.0.0-rc.118", "", { "peerDependencies": { "@opentelemetry/api": ">=1.9.0 <2.0.0", "@opentelemetry/api-logs": ">=0.203.0 <0.300.0", "@opentelemetry/resources": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-logs": ">=0.203.0 <0.300.0", "@opentelemetry/sdk-metrics": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-trace-base": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-trace-node": ">=2.0.0 <3.0.0", "@opentelemetry/sdk-trace-web": ">=2.0.0 <3.0.0", "@opentelemetry/semantic-conventions": ">=1.33.0 <2.0.0", "effect": "^4.0.0-rc.118" }, "optionalPeers": ["@opentelemetry/api", "@opentelemetry/api-logs", "@opentelemetry/resources", "@opentelemetry/sdk-logs", "@opentelemetry/sdk-metrics", "@opentelemetry/sdk-trace-base", "@opentelemetry/sdk-trace-node", "@opentelemetry/sdk-trace-web"] }, "sha512-N5dvEeCj1W/9zgBvyyp/GucOKOEJdV7QNirWp+4g/axFKTB/cfV2gx/ZhMDUb69HzlyRmOelNvKEmB3RA0PdVw=="],

-    "@effect/platform-node": ["@effect/platform-node@4.0.0-rc.112", "", { "dependencies": { "@effect/platform-node-shared": "^4.0.0-rc.112", "mime": "^4.1.0", "undici": "^8.10.0" }, "peerDependencies": { "effect": "^4.0.0-rc.112", "redis": ">=5.0.0 <7.0.0" } }, "sha512-/BMAcdNGQQskLmI0Zoa95KfTZkr9HV9N4NSxaSrusG6GeW6Ulp9KvZ+Rlaiw8lnOt43CXjFLdfll5/k5rxL4hQ=="],
+    "@effect/platform-node": ["@effect/platform-node@4.0.0-rc.118", "", { "dependencies": { "@effect/platform-node-shared": "^4.0.0-rc.118", "undici": "^8.11.2" }, "peerDependencies": { "effect": "^4.0.0-rc.118", "redis": ">=5.0.0 <7.0.0" } }, "sha512-qdAxPZ+5bKxVnzkwziqcHZTHRHz2hyfFX6NhwEmm75CBpmaIzXIZR2LRqGd1/8eI3J3cOrXcAYzByhln7T1/EA=="],

-    "@effect/platform-node-shared": ["@effect/platform-node-shared@4.0.0-rc.112", "", { "dependencies": { "@types/ws": "^8.18.1", "ws": "^8.21.3" }, "peerDependencies": { "effect": "^4.0.0-rc.112" } }, "sha512-ttjz0xKamFN7vL8pNDYVwddJLjZvqKePc05djlz2VcdaKbLsnYbtMnL1rbOfHgEnIUSHGh7FkjaN4DM1Ov81sQ=="],
+    "@effect/platform-node-shared": ["@effect/platform-node-shared@4.0.0-rc.118", "", { "dependencies": { "@types/ws": "^8.18.1", "ws": "^8.22.0" }, "peerDependencies": { "effect": "^4.0.0-rc.118" } }, "sha512-pNbmIlxbAUxAthUNsp2xm1NLG9kxoYecsPkoYl9mNF2oxPcKDxAvkOar7tYnLSUpXJeATm4pxYVipdZjQfqO4Q=="],

-    "@effect/sql-sqlite-bun": ["@effect/sql-sqlite-bun@4.0.0-rc.112", "", { "peerDependencies": { "effect": "^4.0.0-rc.112" } }, "sha512-EqR8pWZo3VzedRvP6qo5HcfqNmFvSa+sQLWQl3oBMx2KY1FCc8NYjep79wYjNkW0qABnffrPUXCMTOncd1A+5g=="],
+    "@effect/sql-sqlite-bun": ["@effect/sql-sqlite-bun@4.0.0-rc.118", "", { "peerDependencies": { "effect": "^4.0.0-rc.118" } }, "sha512-UF0oVOK7mQvEwpxySR9VTk5YoP5luRI//Z8NMOJKVG/SbZbsORGACd7Np+KZRiXXjgzSXEpfGb7Gs3G1cKfUCg=="],

    "@electron-internal/extract-zip": ["@electron-internal/extract-zip@1.0.5", "", {}, "sha512-+bqFCP98pLI0Tt0XQo1TmlXtwjWchISndDOxCkEcIuUgXWpBnLyRI+2DU+mesvnMMX6L1XDqYNA0lXNDHd/yiA=="],

@@ -2062,18 +2064,6 @@

    "@motionone/utils": ["@motionone/utils@10.18.0", "", { "dependencies": { "@motionone/types": "^10.17.1", "hey-listen": "^1.0.8", "tslib": "^2.3.1" } }, "sha512-3XVF7sgyTSI2KWvTf6uLlBJ5iAgRgmvp3bpuOiQJvInd4nZ19ET8lX5unn30SlmRH7hXbBbH+Gxd0m0klJ3Xtw=="],

-    "@msgpackr-extract/msgpackr-extract-darwin-arm64": ["@msgpackr-extract/msgpackr-extract-darwin-arm64@3.0.4", "", { "os": "darwin", "cpu": "arm64" }, "sha512-LCkGo6JDfaBhgST7UpPWgNgLINpcpabaHfyz5OBx75nUYxBsaEPxjnyNjWpeb/xBup/682QnBfRBy2/LvPutZQ=="],
-
-    "@msgpackr-extract/msgpackr-extract-darwin-x64": ["@msgpackr-extract/msgpackr-extract-darwin-x64@3.0.4", "", { "os": "darwin", "cpu": "x64" }, "sha512-zExlW9zUJKZH/tOtVMttwjKa4Xm/3KcNjnE3dPN92uCktwavMxpgCA3MoJK/DOnTWsQgo224OaST27/mPNAf+w=="],
-
-    "@msgpackr-extract/msgpackr-extract-linux-arm": ["@msgpackr-extract/msgpackr-extract-linux-arm@3.0.4", "", { "os": "linux", "cpu": "arm" }, "sha512-Tg3yX65f5GbtXLkrYEHE5oibZG9epyYWas7FogTTEJeDEF9JlXJzKgXaNhT3UXlTOeA+AfZpYZYZ0uPj7Cfquw=="],
-
-    "@msgpackr-extract/msgpackr-extract-linux-arm64": ["@msgpackr-extract/msgpackr-extract-linux-arm64@3.0.4", "", { "os": "linux", "cpu": "arm64" }, "sha512-dgX0P/9wGPJeHFBG+ZmhgE6bmtMt7NP5CRBGyyktpopdk/mW4POnrpQsSLtKI1dwpc+pPLuXHDh6vvskyQE/sw=="],
-
-    "@msgpackr-extract/msgpackr-extract-linux-x64": ["@msgpackr-extract/msgpackr-extract-linux-x64@3.0.4", "", { "os": "linux", "cpu": "x64" }, "sha512-8TNXMEjJc3QEy7R/x1INhgiU+XakDAFUzBhaz7+Rbrs8NH5UQeHQxxmzsSBJGyV6I1jW79undiQm8tOI+D+8FQ=="],
-
-    "@msgpackr-extract/msgpackr-extract-win32-x64": ["@msgpackr-extract/msgpackr-extract-win32-x64@3.0.4", "", { "os": "win32", "cpu": "x64" }, "sha512-CmCXPQrkbwExx3j946/PtHWHbYJiCRBRDl4BlkRQcJB/YOwQxJRTpoo7aTsortjgoJ1x7opzTSxn7C+ASSLVjQ=="],
-
    "@napi-rs/lzma-linux-x64-gnu": ["@napi-rs/lzma-linux-x64-gnu@1.5.1", "", { "os": "linux", "cpu": "x64" }, "sha512-oTXEIha4SsuXdTA4Iyskj0kpdx2yVXdhd75c2v3xGrHFfVMsbhTPZU/nMPL4sWKo4pBHm3aucLaqGlF696dTyQ=="],

    "@napi-rs/wasm-runtime": ["@napi-rs/wasm-runtime@1.2.3", "", { "dependencies": { "@tybys/wasm-util": "^0.10.3" }, "peerDependencies": { "@emnapi/core": "^1.7.1 || ^2.0.0-alpha.4", "@emnapi/runtime": "^1.7.1 || ^2.0.0-alpha.4" } }, "sha512-UMduMbqO5s5zF2NkNacMT/yK5Y5QiKvWr2+50bzIIxFDwVJ2h49b+oyjaCGPhJxd2/gC2x39EHv/gHVuu36x2Q=="],
@@ -3912,7 +3902,7 @@

    "editorconfig": ["editorconfig@1.0.7", "", { "dependencies": { "@one-ini/wasm": "0.1.1", "commander": "^10.0.0", "minimatch": "^9.0.1", "semver": "^7.5.3" }, "bin": { "editorconfig": "bin/editorconfig" } }, "sha512-e0GOtq/aTQhVdNyDU9e02+wz9oDDM+SIOQxWME2QRjzRX5yyLAuHDE+0aE8vHb9XRC8XD37eO2u57+F09JqFhw=="],

-    "effect": ["effect@4.0.0-rc.112", "", { "dependencies": { "fast-check": "^4.9.0", "msgpackr": "^2.0.5" } }, "sha512-wXxwuh1Ywnv4cPRM3Wfa0vDwuOHnZ1TsTgHJkG9XgzND6inhBH9n1vBxhg3iIXOia/OrpmvVmd3lrD4vq6bF3A=="],
+    "effect": ["effect@4.0.0-rc.118", "", {}, "sha512-hxhpCd+swzrtu9lnyPpEFre2ODQzJ9qxgyL1oHIEY8NKnW4PxTbM1XzplMZXiAsLD62HO+KJc41Nqxr9T791ZQ=="],

    "ejs": ["ejs@3.1.10", "", { "dependencies": { "jake": "^10.8.5" }, "bin": { "ejs": "bin/cli.js" } }, "sha512-UeJmFfOrAQS8OJWPZ4qtgHyWExa088/MtK5UEyoJGFH67cDEXkZSviOiKRCZ4Xij0zxI3JECgYs3oKx+AizQBA=="],

@@ -4750,7 +4740,7 @@

    "micromatch": ["micromatch@4.0.8", "", { "dependencies": { "braces": "^3.0.3", "picomatch": "^2.3.1" } }, "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA=="],

-    "mime": ["mime@4.1.0", "", { "bin": { "mime": "bin/cli.js" } }, "sha512-X5ju04+cAzsojXKes0B/S4tcYtFAJ6tTMuSPBEn9CPGlrWr8Fiw7qYeLT0XyH80HSoAoqWCaz+MWKh22P7G1cw=="],
+    "mime": ["mime@3.0.0", "", { "bin": { "mime": "cli.js" } }, "sha512-jSCU7/VB1loIWBZe14aEYHU/+1UMEHoaO7qxCOVJOw9GgH72VAWppxNcjU+x9a2k3GSIBXNKxXQFqRvvZ7vr3A=="],

    "mime-db": ["mime-db@1.54.0", "", {}, "sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ=="],

@@ -4798,10 +4788,6 @@

    "ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],

-    "msgpackr": ["msgpackr@2.0.5", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-cef05H/dSYpLpqp3sj/qyZh5vhUYCalnaLO7j1yOmpsR0y/XwLVtK7r5gn+U/F7CTEfMowcGhlUQJDLcLf7jcA=="],
-
-    "msgpackr-extract": ["msgpackr-extract@3.0.4", "", { "dependencies": { "node-gyp-build-optional-packages": "5.2.2" }, "optionalDependencies": { "@msgpackr-extract/msgpackr-extract-darwin-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-darwin-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-win32-x64": "3.0.4" }, "bin": { "download-msgpackr-prebuilds": "bin/download-prebuilds.js" } }, "sha512-4kmO/MdyUIkLIvTPr8VHLil4AtoKIoniWPIEk5+CDy0xnWC84azhSFmuJ7PxZdsYtiP5kEeQsORAVIeMgxT+Hw=="],
-
    "muggle-string": ["muggle-string@0.4.1", "", {}, "sha512-VNTrAak/KhO2i8dqqnqnAHOa3cYBwXEZe9h+D5h/1ZqFSTEFHdM65lR7RoIqq3tBBYavsOXV84NoHXZ0AkPyqQ=="],

    "mustache": ["mustache@4.2.0", "", { "bin": { "mustache": "bin/mustache" } }, "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ=="],
@@ -4844,8 +4830,6 @@

    "node-gyp-build": ["node-gyp-build@4.8.4", "", { "bin": { "node-gyp-build": "bin.js", "node-gyp-build-optional": "optional.js", "node-gyp-build-test": "build-test.js" } }, "sha512-LA4ZjwlnUblHVgq0oBF3Jl/6h/Nvs5fzBLwdEF4nuxnFdsfajde4WfxtJr3CaiH+F6ewcIB/q4jQ4UzPyid+CQ=="],

-    "node-gyp-build-optional-packages": ["node-gyp-build-optional-packages@5.2.2", "", { "dependencies": { "detect-libc": "^2.0.1" }, "bin": { "node-gyp-build-optional-packages": "bin.js", "node-gyp-build-optional-packages-optional": "optional.js", "node-gyp-build-optional-packages-test": "build-test.js" } }, "sha512-s+w+rBWnpTMwSFbaE0UXsRlg7hU4FjekKU4eyAih5T8nJuNZT1nNsskXpxmeqSK9UzkBl6UgRlnKc8hz8IEqOw=="],
-
    "node-html-parser": ["node-html-parser@7.1.0", "", { "dependencies": { "css-select": "^5.1.0", "he": "1.2.0" } }, "sha512-iJo8b2uYGT40Y8BTyy5ufL6IVbN8rbm/1QK2xffXU/1a/v3AAa0d1YAoqBNYqaS4R/HajkWIpIfdE6KcyFh1AQ=="],

    "node-int64": ["node-int64@0.4.0", "", {}, "sha512-O5lz91xSOeoXP6DulyHfllpq+Eg00MWitZIbtPfoSEvqIHdl5gfcY6hYzDWnj0qD5tz52PI08u9qUvSVeUBeHw=="],
@@ -5642,7 +5626,7 @@

    "uncrypto": ["uncrypto@0.1.3", "", {}, "sha512-Ql87qFHB3s/De2ClA9e0gsnS6zXG27SkTiSJwjCc9MebbfapQfuPzumMIUMi38ezPZVNFcHI9sUIepeQfw8J8Q=="],

-    "undici": ["undici@8.10.0", "", {}, "sha512-HvltHd7avK13QIw/oLe4qoOLyoVSoafqJ2jYOrtMRBkbYT31eiBQ8O0ehRKZiEZCMEyLFQNIADpgCWC5fALvYQ=="],
+    "undici": ["undici@8.11.2", "", {}, "sha512-u4UB2/IrKdU6lFxumHmmo1a3fCQO5tzQllRorfoRS63txhrB7xTpSn1PftwC4qEHkOaqP95fCWW4lJzwErwzhQ=="],

    "undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],

@@ -6094,15 +6078,13 @@

    "@bufbuild/protoplugin/typescript": ["typescript@5.4.5", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ=="],

-    "@cloudflare/kv-asset-handler/mime": ["mime@3.0.0", "", { "bin": { "mime": "cli.js" } }, "sha512-jSCU7/VB1loIWBZe14aEYHU/+1UMEHoaO7qxCOVJOw9GgH72VAWppxNcjU+x9a2k3GSIBXNKxXQFqRvvZ7vr3A=="],
-
    "@cloudflare/vite-plugin/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],

    "@cloudflare/vite-plugin/ws": ["ws@8.18.0", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw=="],

    "@cspotcode/source-map-support/@jridgewell/trace-mapping": ["@jridgewell/trace-mapping@0.3.9", "", { "dependencies": { "@jridgewell/resolve-uri": "^3.0.3", "@jridgewell/sourcemap-codec": "^1.4.10" } }, "sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ=="],

-    "@effect/platform-node-shared/ws": ["ws@8.21.3", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-201TZ/kPWxoPr/OKWjquZR1SWKXcvxdH+e1xrx89b3YbmzLMFCLfnaG1HFIgWzJOEWZ7MvpK++odZufgYR50Rw=="],
+    "@effect/platform-node-shared/ws": ["ws@8.22.0", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-Ydggc987+RO0AnWtZ/7Wq9FtNvcrL1b/RO0ud9mWjUPgDrsAAwQSF51sm2hm1XofbU/4jkpGEsLFsZZxU+1DOg=="],

    "@electron/asar/commander": ["commander@5.1.0", "", {}, "sha512-P0CysNDQ7rtVw4QIQtm+MRxV66vKFSvlsQvGYXZWR3qFU0jlMKHZZZgw8e+8DSah4UDKMqnknRDQz+xuQXQ/Zg=="],

@@ -6694,6 +6676,8 @@

    "tw-to-css/tailwindcss": ["tailwindcss@3.3.2", "", { "dependencies": { "@alloc/quick-lru": "^5.2.0", "arg": "^5.0.2", "chokidar": "^3.5.3", "didyoumean": "^1.2.2", "dlv": "^1.1.3", "fast-glob": "^3.2.12", "glob-parent": "^6.0.2", "is-glob": "^4.0.3", "jiti": "^1.18.2", "lilconfig": "^2.1.0", "micromatch": "^4.0.5", "normalize-path": "^3.0.0", "object-hash": "^3.0.0", "picocolors": "^1.0.0", "postcss": "^8.4.23", "postcss-import": "^15.1.0", "postcss-js": "^4.0.1", "postcss-load-config": "^4.0.1", "postcss-nested": "^6.0.1", "postcss-selector-parser": "^6.0.11", "postcss-value-parser": "^4.2.0", "resolve": "^1.22.2", "sucrase": "^3.32.0" }, "bin": { "tailwind": "lib/cli.js", "tailwindcss": "lib/cli.js" } }, "sha512-9jPkMiIBXvPc2KywkraqsUfbfj+dHDb+JPWtSJa9MLFdrPyazI7q6WX2sUrm7R9eVR7qqv3Pas7EvQFzxKnI6w=="],

+    "unifont/undici": ["undici@8.10.0", "", {}, "sha512-HvltHd7avK13QIw/oLe4qoOLyoVSoafqJ2jYOrtMRBkbYT31eiBQ8O0ehRKZiEZCMEyLFQNIADpgCWC5fALvYQ=="],
+
    "unplugin/acorn": ["acorn@8.18.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-lGq+9yr1/GuAWaVYIHRjvvySG5/4VfKIvC8EWxStPdcDh/Ka7FG3twP6v4d5BkravUilhIAsG4Qj83t02LWUPQ=="],

    "unused-filename/escape-string-regexp": ["escape-string-regexp@5.0.0", "", {}, "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw=="],
@@ -1,7 +1,7 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-yCdtDQsXERjfL9bJg7YXNloMBOPwFkPMFVNAzXlarBM=",
-    "aarch64-linux": "sha256-iQ1bLIszETcFoD4CENpoaDZJZF/KBKZFeTp9r7ogJ9Y=",
-    "aarch64-darwin": "sha256-G7oIrTXEFQ5iEF8KSpA4xJPw9xwqRDpbIR472iIoqC4="
+    "x86_64-linux": "sha256-g3k0cAFGqzmRYlcIkg1NDvlx1WxHYhnYPL0/a8E+qTg=",
+    "aarch64-linux": "sha256-a+3ymqdxOONGe2Tpq4GUccl1b+Dwzxlb9LFXgE1gZ+0=",
+    "aarch64-darwin": "sha256-h8xIzuMmaWfJqjHCO74xUDCWNKQLFrIGoKYZ+2TauYc="
  }
 }
@@ -42,10 +42,10 @@
      "packages/stats/*"
    ],
    "catalog": {
-      "@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",
+      "@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",
      "@npmcli/arborist": "9.4.0",
      "@types/bun": "1.4.0",
      "@types/cross-spawn": "6.0.6",
@@ -79,7 +79,8 @@
      "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.112",
+      "effect": "4.0.0-rc.118",
+      "fast-check": "4.9.0",
      "ai": "6.0.168",
      "cross-spawn": "7.0.6",
      "hono": "4.10.7",
@@ -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
@@ -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/unstable/http"
+import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/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({
@@ -38,6 +38,7 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
+  "alibaba-chat",
  "alibaba-messages",
  "anthropic-messages",
  "anthropic-compatible-messages",
@@ -49,16 +50,18 @@ const RESPECTS_INLINE_HINTS = new Set([
  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
+  "digitalocean",
 ])

 // OpenRouter upstreams other than Anthropic and Alibaba Qwen cache without breakpoints. Gemini uses only the last
 // breakpoint, so a conversation-tail breakpoint writes a new cache every step and costs more than none. Qwen ignores
 // breakpoints on tool definitions and caches tools with the system prompt.
+const QWEN: CachePolicyObject = { system: true, messages: { tail: 1 } }
 const openRouterPolicy = (modelID: string): CachePolicyObject => {
  // `~anthropic/claude-sonnet-latest` style IDs are OpenRouter aliases for the latest model in a family.
  const id = modelID.replace(/^~/, "")
  if (id.startsWith("anthropic/")) return AUTO
-  if (id.startsWith("qwen/")) return { system: true, messages: { tail: 1 } }
+  if (id.startsWith("qwen/")) return QWEN
  return NONE
 }

@@ -170,7 +173,11 @@ export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
  const policy =
    request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto")
      ? openRouterPolicy(request.model.id)
-      : resolve(request.cache)
+      : request.model.route.id === "alibaba-chat" && (request.cache === undefined || request.cache === "auto")
+        ? request.model.id.toLowerCase().startsWith("qwen")
+          ? QWEN
+          : NONE
+        : resolve(request.cache)
  if (!policy.tools && !policy.system && !policy.messages) return request

  const hint = makeHint(policy.ttlSeconds)
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
+import { Headers, HttpClientRequest } from "effect/http"
 import {
  ChoiceQuestion,
  EvaluationInput,
@@ -1,7 +1,8 @@
 export * as Media from "./media.js"

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

@@ -183,7 +184,7 @@ export class Asset {
  toJSON() {
    const source = this.source
    return {
-      source: source.type === "bytes" ? { ...source, data: Encoding.encodeBase64(source.data) } : source,
+      source: source.type === "bytes" ? { ...source, data: Base64.encode(source.data) } : source,
      info: this.info,
      providerMetadata: this.providerMetadata,
    }
@@ -3,6 +3,7 @@ import { Protocol } from "../route/protocol.js"
 import type { LanguageModelCompatibility } from "../schema/index.js"
 import { OpenAIChat } from "./openai-chat.js"
 import { JsonObject, ProviderShared } from "./shared.js"
+import { cacheControl } from "./utils/cache.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"

 export type ReasoningEffort = OpenResponsesOptions.ReasoningEffort
@@ -68,7 +69,7 @@ export const protocol = Protocol.make({
    from: Effect.fn("AlibabaChat.fromRequest")(function* (req) {
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
      return {
-        ...(yield* OpenAIChat.protocol.body.from(req)),
+        ...(yield* OpenAIChat.fromRequest(req, { cacheControl: cacheControl() })),
        enable_thinking: opts.enableThinking,
        // Alibaba also rejects an explicit budget that is not below `max_completion_tokens`.
        thinking_budget:
@@ -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/unstable/http"
+import { Headers } from "effect/http"
 import { HttpTransport } from "../route/transport/index.js"
 import {
  AIError,
@@ -807,15 +807,12 @@ const requireThinkingSignature = (request: LLMRequest) => {
 // 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 match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\d+)(?:[.-](\d+))?/.exec(
-    String(request.model.id).toLowerCase(),
-  )
-  if (!match) return false
-  const major = Number(match[2])
-  if (match[1] !== "opus") return major >= 5
-  if (major !== 4) return major >= 5
-  return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8
+  const version = claudeVersion(String(request.model.id))
+  if (version === undefined) return false
+  if (version.family === "opus" && version.major === 4) return version.minor >= 8
+  return version.major >= 5
 }

 const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
@@ -992,13 +989,13 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
  return messages
 })

+// 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
  if (override !== undefined) return override
  const version = claudeVersion(model.id)
  if (version === undefined) return false
-  if (version.family === "opus") return version.major >= 5
-  if (version.family !== "fable" && version.family !== "mythos") return false
+  if (version.family === "opus" && version.major >= 5) return true
  return version.major > 5 || (version.major === 5 && version.minor >= 1)
 }

@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import type { Status } from "../generation.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,4 +1,5 @@
-import { Effect, Encoding, Schema } from "effect"
+import { Effect, Schema } from "effect"
+import { Base64 } from "effect/encoding"
 import { Route } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
@@ -319,6 +320,9 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
  } satisfies BedrockToolResultBlock
 })

+// 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* (
  request: LLMRequest,
  breakpoints: BedrockCache.Breakpoints,
@@ -328,8 +332,19 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
  // Mistral can reject replay IDs even when they satisfy Converse's broader ID syntax.
  const normalizeID = request.model.id.includes("mistral.") ? MistralToolID.normalizer(request) : (id: string) => id
  const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
+  const hoistImages = !keepToolImagesInline(request.model.id)
+  // Bedrock expects parallel tool results before any images hoisted beside them.
+  const pendingImages: BedrockMedia.ImageBlock[] = []
+  const flushImages = () => {
+    if (pendingImages.length === 0) return
+    const previous = messages.at(-1)
+    if (previous?.role === "user")
+      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...pendingImages] }
+    pendingImages.length = 0
+  }

  for (const message of request.messages) {
+    if (message.role !== "tool") flushImages()
    if (message.role === "system") {
      const part = yield* ProviderShared.wrappedSystemUpdate("Bedrock Converse", message)
      const content = textWithCache(breakpoints, part.text, part.cache)
@@ -403,7 +418,22 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    for (const part of message.content) {
      if (!ProviderShared.supportsContent(part, ["tool-result"]))
        return yield* ProviderShared.unsupportedContent("Bedrock Converse", "tool", ["tool-result"])
-      content.push(yield* lowerToolResult(part, documentNames, normalizeID))
+      const result = yield* lowerToolResult(part, documentNames, normalizeID)
+      const images: BedrockMedia.ImageBlock[] = hoistImages
+        ? result.toolResult.content.filter((item) => "image" in item)
+        : []
+      const nonImageContent = result.toolResult.content.filter((item) => !("image" in item))
+      content.push(
+        images.length === 0
+          ? result
+          : {
+              toolResult: {
+                ...result.toolResult,
+                content: nonImageContent.length > 0 ? nonImageContent : [{ text: "See attached image." }],
+              },
+            },
+      )
+      pendingImages.push(...images)
      const cachePoint = BedrockCache.block(breakpoints, part.cache)
      if (cachePoint) content.push(cachePoint)
    }
@@ -413,6 +443,7 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    else messages.push({ role: "user", content })
  }

+  flushImages()
  return messages
 })

@@ -580,7 +611,7 @@ interface ParserState {
  readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
 }

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

 const step = (state: ParserState, event: BedrockEvent) =>
  Effect.gen(function* () {
@@ -629,7 +660,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
      const events: LLMEvent[] = []
      const redactedChunk = yield* (() => {
        if (reasoning.redactedContent === undefined) return Effect.succeed(undefined)
-        return Effect.fromResult(Encoding.decodeBase64(reasoning.redactedContent)).pipe(
+        return Effect.fromResult(Base64.decode(reasoning.redactedContent)).pipe(
          Effect.mapError((cause) =>
            ProviderShared.eventError(
              ADAPTER,
@@ -1,6 +1,7 @@
 import { EventStreamCodec } from "@smithy/eventstream-codec"
 import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
-import { Effect, Encoding, Stream } from "effect"
+import { Effect, Stream } from "effect"
+import { Base64 } from "effect/encoding"
 import { AIError, AIErrorReason, InvalidProviderOutputError } from "../schema/index.js"
 import { Framing } from "../route/framing.js"
 import { ProviderShared } from "./shared.js"
@@ -47,7 +48,7 @@ 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: Encoding.encodeBase64(remaining),
+            body: Base64.encode(remaining),
          }),
        })
      return [state, []] as const
@@ -68,7 +69,7 @@ const consumeFrames = (route: string) => (state: FrameBufferState, input: FrameI
            `Failed to decode Bedrock Converse event-stream frame: ${
              error instanceof Error ? error.message : String(error)
            }`,
-            Encoding.encodeBase64(view.subarray(0, totalLength)),
+            Base64.encode(view.subarray(0, totalLength)),
            error,
          ),
      })
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/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 { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,4 +1,5 @@
-import { Effect, Encoding, Schema } from "effect"
+import { Effect, Schema } from "effect"
+import { Base64 } from "effect/encoding"
 import { Protocol } from "../route/protocol.js"
 import { HttpTransport } from "../route/transport/index.js"
 import { LLMEvent, LLMRequest, Message, ToolResultPart } from "../schema/index.js"
@@ -135,7 +136,7 @@ const HOSTED_TOOLS = {
          "Meta returned an image without data",
          ProviderShared.encodeJson(raw),
        )
-      const data = yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
+      const data = yield* Effect.fromResult(Base64.decode(item.result)).pipe(
        Effect.mapError((cause) =>
          ProviderShared.eventError(
            ADAPTER,
@@ -1,5 +1,5 @@
 import { Effect, Schema, Stream } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/http"
 import { Framing } from "../route/framing.js"
 import type { HttpContext } from "../schema/index.js"
 import {
@@ -212,9 +212,11 @@ const OpenAIChatUsage = Schema.StructWithRest(
    prompt_tokens: optionalNull(Schema.Number),
    completion_tokens: optionalNull(Schema.Number),
    total_tokens: optionalNull(Schema.Number),
-    // Zai reports cache hits as top-level `cached_tokens`; DeepSeek uses `prompt_cache_hit_tokens`.
+    // Provider-specific cache accounting fields.
    cached_tokens: optionalNull(Schema.Number),
    prompt_cache_hit_tokens: optionalNull(Schema.Number),
+    cache_read_input_tokens: optionalNull(Schema.Number),
+    cache_created_input_tokens: optionalNull(Schema.Number),
    prompt_tokens_details: optionalNull(
      Schema.StructWithRest(
        Schema.Struct({
@@ -903,16 +905,19 @@ const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event
 // satisfied on both sides.
 // Providers differ on cache-hit location: OpenAI uses
 // `prompt_tokens_details.cached_tokens`, DeepSeek uses
-// `prompt_cache_hit_tokens`, and Zai uses top-level `cached_tokens`.
+// `prompt_cache_hit_tokens`, Zai uses top-level `cached_tokens`, and
+// DigitalOcean uses top-level `cache_read_input_tokens` / `cache_created_input_tokens`.
 const mapUsage = (usage: OpenAIChatEvent["usage"], providerMetadataKey: string): Usage | undefined => {
  if (!usage) return undefined
  const input = usage.prompt_tokens ?? undefined
  const output = usage.completion_tokens ?? undefined
-  const cached = (usage.prompt_tokens_details?.cached_tokens ??
-    (usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
-    (usage as { cached_tokens?: number | null }).cached_tokens ??
-    undefined) as number | undefined
-  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
+  const cached =
+    usage.prompt_tokens_details?.cached_tokens ??
+    usage.prompt_cache_hit_tokens ??
+    usage.cached_tokens ??
+    usage.cache_read_input_tokens ??
+    undefined
+  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? usage.cache_created_input_tokens ?? undefined
  const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
  const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
  return new Usage({
@@ -1,5 +1,6 @@
-import { Effect, Encoding, Schema } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Effect, Schema } from "effect"
+import { Base64 } from "effect/encoding"
+import { Headers } from "effect/http"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"
@@ -249,7 +250,7 @@ const checkpointBody = {
 const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (item: ResponsesHostedTools.Item) {
  const isError = item.error !== undefined && item.error !== null
  if (item.type === "image_generation_call" && item.result) {
-    yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
+    yield* Effect.fromResult(Base64.decode(item.result)).pipe(
      Effect.mapError((cause) =>
        ProviderShared.eventError(ADAPTER, "OpenAI Responses returned invalid image base64", undefined, cause),
      ),
@@ -1,5 +1,5 @@
 import { Duration, Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import { Headers, HttpClientRequest } from "effect/http"
 import { Media } from "../media.js"
 import {
  InvalidProviderOutputError,
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -1,6 +1,6 @@
 import { AwsV4Signer } from "aws4fetch"
 import { Effect } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/http"
 import { Auth, type AuthInput } from "../../route/auth.js"
 import { AIError, AuthenticationError } from "../../schema/index.js"
 import { ProviderShared } from "../shared.js"
@@ -1,4 +1,5 @@
-import { Effect, Encoding, Schema } from "effect"
+import { Effect, Schema } from "effect"
+import { Base64 } from "effect/encoding"
 import type { MediaPart } from "../../schema/index.js"
 import { ProviderShared } from "../shared.js"

@@ -78,12 +79,12 @@ function documentName(filename: string | undefined, names: Set<string>) {

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

 // Route by MIME. Known image/document formats lower into a typed block; anything
@@ -1,4 +1,5 @@
 // Shared counter and TTL mapping for provider cache-marker lowering.
+import type { CacheHint } from "../../schema/index.js"

 export interface Breakpoints {
  remaining: number
@@ -11,3 +12,12 @@ export const newBreakpoints = (cap: number): Breakpoints => ({ remaining: cap, d
 // requests omit the wire TTL and use the provider default.
 export const ttlBucket = (ttlSeconds: number | undefined): "1h" | undefined =>
  ttlSeconds !== undefined && ttlSeconds >= 3600 ? "1h" : undefined
+
+export const cacheControl = () => {
+  const breakpoints = newBreakpoints(4)
+  return (cache: CacheHint | undefined) => {
+    if (cache === undefined || breakpoints.remaining === 0) return undefined
+    breakpoints.remaining -= 1
+    return { type: "ephemeral" as const, ttl: ttlBucket(cache.ttlSeconds) }
+  }
+}
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import type { Status } from "../../generation.js"
 import type { Media } from "../../media.js"
 import { MediaProtocol } from "../../route/media-protocol.js"
@@ -1,4 +1,5 @@
-import { Effect, Encoding } from "effect"
+import { Effect } from "effect"
+import { Base64 } from "effect/encoding"
 import { Media } from "../../media.js"
 import type { MediaProtocol } from "../../route/media-protocol.js"
 import { mergeJsonRecords, type AIError, type ProviderID } from "../../schema/index.js"
@@ -10,7 +11,7 @@ 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(Encoding.decodeBase64(inline.base64)).pipe(
+  return Effect.fromResult(Base64.decode(inline.base64)).pipe(
    Effect.mapError((cause) => ProviderShared.invalidRequest(`${route} media contains invalid base64 data`, cause)),
  )
 }
@@ -52,7 +53,7 @@ export const decodedAsset = (
  mediaType: string | undefined,
  options?: Media.AssetOptions,
 ) =>
-  Effect.fromResult(Encoding.decodeBase64(data)).pipe(
+  Effect.fromResult(Base64.decode(data)).pipe(
    Effect.mapError((cause) => invalid(`${label} contains invalid base64 data`, cause)),
    Effect.map((bytes) => Media.bytes(bytes, mediaType, options)),
  )
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/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/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -35,6 +35,8 @@ const patterns = [
  /exceeds the limit of \d+/i,
  /exceeds the available context size/i,
  /greater than the context length/i,
+  // Hugging Face Text Generation Inference, e.g. Together
+  /`inputs` tokens \+ `max_new_tokens` must be <= \d+/i,
  /context window exceeds limit/i,
  /exceeded model token limit/i,
  /context[_ ]length[_ ]exceeded/i,
@@ -0,0 +1,76 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { OpenAIChat } from "../protocols/openai-chat.js"
+import { cacheControl } from "../protocols/utils/cache.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 { Protocol } from "../route/protocol.js"
+import { ProviderID, type ModelID } from "../schema/index.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const id = ProviderID.make("digitalocean")
+const baseURL = "https://inference.do-ai.run/v1"
+
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+export type Settings = ProviderPackage.Settings & OpenAIProviderOptionsInput & { readonly apiKey?: string }
+
+export const protocol = Protocol.make({
+  id: "digitalocean-chat",
+  body: {
+    schema: OpenAIChat.protocol.body.schema,
+    from: (request) => OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }),
+  },
+  stream: OpenAIChat.protocol.stream,
+})
+
+export const route = Route.make({
+  id: "digitalocean",
+  provider: id,
+  providerMetadataKey: "digitalocean",
+  protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL }),
+  framing: OpenAIChat.framing,
+})
+
+export const routes = [route]
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
+  const configured = route.with({
+    ...defaults,
+    endpoint: { baseURL: endpoint ?? baseURL },
+    auth: AuthOptions.bearer(input, ["DIGITALOCEAN_ACCESS_TOKEN", "DIGITALOCEAN_API_KEY", "DO_INFERENCE_API_KEY"]),
+  })
+  return {
+    id,
+    model: (modelID: string | ModelID) =>
+      configured.model<OpenAIProviderOptionsInput>({
+        id: modelID,
+        compatibility: {
+          supportsPromptCacheKey: true,
+        },
+      }),
+    configure,
+  }
+}
+
+export const provider = configure()
+
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
+  modelID,
+  { apiKey, baseURL, body, headers, ...providerOptions },
+) =>
+  configure({
+    apiKey,
+    baseURL,
+    headers,
+    http: { body },
+    providerOptions,
+  }).model(modelID)
+
+export * as DigitalOcean from "./digitalocean.js"
@@ -37,7 +37,7 @@ export type Settings = ProviderPackage.Settings &
 const route = Route.make({
  id: "google-vertex-messages",
  provider: id,
-  providerMetadataKey: "anthropic",
+  providerMetadataKey: "vertex",
  protocol: Protocol.make({
    id: AnthropicMessages.protocol.id,
    body: {
@@ -71,7 +71,7 @@ export const protocol = Protocol.make({
 export const route = Route.make({
  id: "groq-chat",
  provider: id,
-  providerMetadataKey: "openai",
+  providerMetadataKey: "groq",
  protocol,
  endpoint: Endpoint.path("/chat/completions", { baseURL }),
  framing: OpenAIChat.framing,
@@ -14,6 +14,7 @@ export * as CloudflareWorkersAI from "./cloudflare-workers-ai.js"
 export * as DeepInfra from "./deepinfra.js"
 export * as Deepgram from "./deepgram.js"
 export * as DeepSeek from "./deepseek.js"
+export * as DigitalOcean from "./digitalocean.js"
 export * as ElevenLabs from "./elevenlabs.js"
 export * as Fal from "./fal.js"
 export * as Fireworks from "./fireworks.js"
@@ -3,11 +3,11 @@ import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { HttpOptions, ProviderID, type CacheHint, type ModelID, type OpenString } from "../schema/index.js"
+import { HttpOptions, ProviderID, type ModelID, type OpenString } from "../schema/index.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { SystemOne } from "../experimental/system-one.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
-import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
+import { cacheControl } from "../protocols/utils/cache.js"
 import { isRecord, ProviderShared } from "../protocols/shared.js"

 export const id = ProviderID.make("openrouter")
@@ -131,18 +131,6 @@ export const protocol = Protocol.make({
  stream: OpenAIChat.protocol.stream,
 })

-const cacheControl = () => {
-  const breakpoints = newBreakpoints(4)
-  return (cache: CacheHint | undefined) => {
-    if (cache === undefined || breakpoints.remaining === 0) return undefined
-    breakpoints.remaining -= 1
-    return {
-      type: "ephemeral" as const,
-      ...(ttlBucket(cache.ttlSeconds) === "1h" ? { ttl: "1h" } : {}),
-    }
-  }
-}
-
 // OpenRouter forwards `reasoning.max_tokens` as the upstream thinking budget. Upstreams such as Anthropic and Alibaba
 // reject one that is not below the output limit; 1,024 is Anthropic's minimum budget.
 const fitReasoning = (reasoning: Record<string, unknown>, maxTokens: number | undefined) =>
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
+import { Headers, HttpClientRequest } from "effect/http"
 import {
  EvaluationAnswer,
  EvaluationInput,
@@ -1,5 +1,5 @@
 import { Config, Effect, Option, Redacted } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/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/unstable/http"
+import type { HttpClientRequest, HttpClientResponse } from "effect/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/unstable/http"
+} from "effect/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/unstable/encoding/Sse"
+import { makeParser, type Event } from "effect/encoding/Sse"
 import { AIError, InvalidProviderOutputError } from "../schema/index.js"

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

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

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

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

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

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

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

 export const ToolNamespace: Schema.Codec<ToolNamespace> & {
  readonly make: (input: ToolNamespace | ToolNamespaceInput) => ToolNamespace
-} = Object.assign(
+} = withStatics(
  Schema.Struct({
    type: Schema.Literal("namespace"),
    name: Schema.String,
@@ -346,7 +347,7 @@ export type ToolEntry = ToolDefinition | ToolNamespace
 export type ToolEntryInput = ToolDefinition.Input | ToolNamespaceEntryInput
 export const ToolEntry: Schema.Codec<ToolEntry> & {
  readonly make: (input: ToolEntryInput) => ToolEntry
-} = Object.assign(
+} = withStatics(
  Schema.Union([ToolDefinition, ToolNamespace]).pipe(
    Schema.toTaggedUnion("type"),
    Schema.annotate({ identifier: "LLM.ToolEntry" }),
@@ -1,4 +1,4 @@
-import { Effect, JsonSchema, Schema } from "effect"
+import { Effect, JsonSchema, Schema, SchemaAST } from "effect"
 import { Tool } from "@opencode/schema/tool"
 import type {
  ToolCallPart,
@@ -6,6 +6,7 @@ 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
@@ -200,7 +201,7 @@ export function make(config: TypedToolConfig | DynamicToolConfig): AnyTool {
    _definition: new ToolDefinition({
      name: "",
      description: config.description,
-      inputSchema: toJsonSchema(config.parameters),
+      inputSchema: emptyInputJsonSchema(config.parameters) ?? toJsonSchema(config.parameters),
      outputSchema: toJsonSchema(config.success),
    }),
  }
@@ -230,8 +231,36 @@ 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)
+  const document = Schema.toJsonSchemaDocument(schema, { onExcessProperty: "error" })
  if (Object.keys(document.definitions).length === 0) return document.schema
  return { ...document.schema, $defs: document.definitions }
 }
@@ -30,7 +30,7 @@ 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/unstable/http"
+import { Headers } from "effect/http"
 import { LLM } from "../src/index.js"
 import { Auth } from "../src/route/auth.js"
 import * as OpenAIChat from "../src/protocols/openai-chat.js"
@@ -8,6 +8,7 @@ import {
  AmazonBedrock,
  AnthropicCompatible,
  CloudflareAIGateway,
+  DigitalOcean,
  GoogleVertexMessages,
  Meta,
  MiniMax,
@@ -117,6 +118,86 @@ describe("applyCachePolicy", () => {
    }),
  )

+  it.effect("'auto' emits cache_control markers on DigitalOcean", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: DigitalOcean.configure({ apiKey: "test" }).model("anthropic-claude-fable-5.1"),
+          system: "You are concise.",
+          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
+          prompt: "hi",
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ type: "function", function: { name: "lookup" }, cache_control: { type: "ephemeral" } }],
+        messages: [
+          {
+            role: "system",
+            content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
+          },
+          {
+            role: "user",
+            content: [{ text: "hi", cache_control: { type: "ephemeral" } }],
+          },
+        ],
+      })
+    }),
+  )
+
+  it.effect("Alibaba chat caches the system and conversation tail without marking tools", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).chat("qwen3.8-max"),
+          system: "You are concise.",
+          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
+          prompt: "hi",
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ type: "function", function: { name: "lookup" } }],
+        messages: [
+          {
+            role: "system",
+            content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
+          },
+          { role: "user", content: [{ text: "hi", cache_control: { type: "ephemeral" } }] },
+        ],
+      })
+      expect(prepared.body.tools?.[0]?.cache_control).toBeUndefined()
+    }),
+  )
+
+  it.effect("Alibaba chat omits automatic cache markers when cache is none", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).chat("qwen3.8-max"),
+          system: "You are concise.",
+          prompt: "hi",
+          cache: "none",
+        }),
+      )
+
+      expect(JSON.stringify(prepared.body)).not.toContain("cache_control")
+    }),
+  )
+
+  it.effect("Alibaba chat does not assume non-Qwen models support cache markers", () =>
+    Effect.gen(function* () {
+      const alibaba = Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" })
+      for (const modelID of ["kimi-k3", "glm-5.2", "deepseek-v4-flash-0731", "MiniMax-M2.5"]) {
+        const prepared = yield* compileRequest(
+          LLM.request({ model: alibaba.chat(modelID), system: "You are concise.", prompt: "hi" }),
+        )
+
+        expect(JSON.stringify(prepared.body)).not.toContain("cache_control")
+      }
+    }),
+  )
+
  it.effect("'auto' emits Anthropic cache markers on Anthropic-compatible routes", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -1,6 +1,6 @@
 import { expect } from "bun:test"
 import { Effect } from "effect"
-import { FetchHttpClient } from "effect/unstable/http"
+import { FetchHttpClient } from "effect/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/unstable/http"
+import { HttpClientRequest, HttpClientResponse } from "effect/http"
 import {
  LLM,
  LLMRequest,
@@ -197,9 +197,15 @@ describe("Anthropic Messages effort updates", () => {
    ["anthropic/claude-opus-5", true],
    ["claude-fable-5-1", true],
    ["claude-mythos-5-1", true],
+    ["claude-opus-5-5", true],
+    ["claude-sonnet-5-5", true],
+    ["anthropic/claude-sonnet-5-5", true],
+    ["claude-sonnet-6", true],
+    ["claude-haiku-6", true],
    ["claude-fable-5", false],
    ["claude-opus-4-8", false],
    ["claude-sonnet-5", false],
+    ["claude-sonnet-5-20260801", false],
    ["kimi-k2.5", false],
  ] as const) {
    it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect, Layer } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/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 } from "effect/unstable/http"
+import { Headers, HttpClientError, HttpClientRequest } from "effect/http"
 import { LLM, AIError, HttpContext, InvalidProviderOutputError, TransportError } from "../src/index.js"
 import { LLMClient, RequestExecutor, WebSocketTransport, type WebSocketChannelExecutor } from "../src/route.js"
 import { route } from "../src/protocols/openai-chat.js"
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-7-plus-streams-thinking-disabled",
-    "recordedAt": "2026-09-08T03:10:42.782Z"
+    "recordedAt": "2026-10-02T01:23:37.836Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":false}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":false}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"7887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837041,\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"model\":\"qwen3.7-plus\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"7887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904216,\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"model\":\"qwen3.7-plus\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-7-plus-streams-thinking-enabled",
-    "recordedAt": "2026-09-08T03:10:54.099Z"
+    "recordedAt": "2026-10-02T01:23:43.998Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":true,\"thinking_budget\":1024}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":true,\"thinking_budget\":1024}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Thinking\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Process:\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  **Ident\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"ify the core question\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":** The user wants\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" to know the product\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" of \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 and\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\n2.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"  **Identify\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" the constraint:** The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" response must contain *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"* the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"cLine truncated
+        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Thinking\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Process:\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  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      }
    }
  ]
@@ -1,9 +1,15 @@
 {
  "version": 1,
  "metadata": {
-    "tags": ["prefix:alibaba-chat", "provider:alibaba", "protocol:alibaba-chat", "region:ap-southeast-1", "image"],
+    "tags": [
+      "prefix:alibaba-chat",
+      "provider:alibaba",
+      "protocol:alibaba-chat",
+      "region:ap-southeast-1",
+      "image"
+    ],
    "name": "alibaba-chat/qwen-3-8-flash-reads-image-bytes",
-    "recordedAt": "2026-09-08T03:10:55.585Z"
+    "recordedAt": "2026-10-02T01:23:45.179Z"
  },
  "interactions": [
    {
@@ -14,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\"},{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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 truncated
+        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\",\"cache_control\":{\"type\":\"ephemeral\"}},{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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 truncated
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
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@@ -12,7 +12,7 @@
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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" = $37\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\",887\",\"reasoning_content\":\Line truncated
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@@ -20,14 +20,14 @@
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@@ -11,7 +11,7 @@
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@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-max-effort",
-    "recordedAt": "2026-09-08T03:09:49.033Z"
+    "recordedAt": "2026-10-02T01:23:30.455Z"
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@@ -22,14 +22,14 @@
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        "status": 200,
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      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-medium-effort",
-    "recordedAt": "2026-09-08T03:09:38.233Z"
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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"OK\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":4608,\"completion_tokens\":10,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":4765,\"prompt_tokens_details\":{\"cached_tokens\":4608},\"speed\":null,\"total_tokens\":4775}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic-claude-haiku-4.5",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "tool",
+      "tool-loop"
+    ],
+    "name": "digitalocean-chat/haiku-continues-a-tool-call-with-cache-markers",
+    "recordedAt": "2026-10-01T07:36:38.471Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":128}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\",\"name\":\"get_weather\"},\"id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"{\\\"city\\\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\": \\\"Pari\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"s\\\"}\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\",\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":54,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":593,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":647}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"content\":[{\"type\":\"text\",\"text\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":128}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"Paris\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" is sunny.\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":7,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":668,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":675}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,53 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic-claude-haiku-4.5",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "usage"
+    ],
+    "name": "digitalocean-chat/haiku-reuses-a-cached-prompt",
+    "recordedAt": "2026-10-01T07:36:36.689Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":5759,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":5759},\"cache_read_input_tokens\":0,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":5759,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":5759},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect, Layer, Stream } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/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/unstable/http"
+import { HttpClient, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/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/unstable/http"
+import { HttpClientRequest } from "effect/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/unstable/http"
+import { HttpClientRequest } from "effect/http"
 import { AIError, LLMEvent, Media, SpeechEvent, TranscriptionEvent } from "../src/index.js"
 import { RequestExecutor } from "../src/route.js"
 import { AI } from "../src/promise.js"
@@ -15,6 +15,7 @@ describe("provider error classification", () => {
      "Prompt has 5,958,968 tokens, but the configured context size is 256,000 tokens",
      "Range of input length should be [1, 129024]",
      "Too many tokens",
+      "Input validation error: `inputs` tokens + `max_new_tokens` must be <= 131073. Given: 600035 `inputs` tokens and 16 `max_new_tokens`",
      "Token limit exceeded",
    ]

@@ -1,6 +1,6 @@
 import { expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/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/unstable/http"
+import { HttpClientRequest } from "effect/http"
 import {
  CacheHint,
  LLM,
@@ -314,6 +314,9 @@ describe("Anthropic Messages route", () => {
        "claude-haiku-5-1",
        "claude-fable-6",
        "anthropic/claude-mythos-7.2",
+        "claude-sonnet-5-5",
+        "claude-opus-4-8@20260101",
+        "claude-nova-6",
      ]

      const prepared = yield* Effect.forEach(ids, (id) =>
@@ -1,8 +1,9 @@
 import { EventStreamCodec } from "@smithy/eventstream-codec"
 import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
 import { describe, expect } from "bun:test"
-import { Effect, Encoding, Ref, Schema, Stream } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { Effect, Ref, Schema, Stream } from "effect"
+import { Base64 } from "effect/encoding"
+import { HttpClientRequest } from "effect/http"
 import {
  Media,
  CacheHint,
@@ -648,6 +649,177 @@ describe("Bedrock Converse route", () => {
    }),
  )

+  it.effect("hoists tool-result images beside the result for Bedrock GPT models", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+            "global.openai.gpt-6-sol",
+          ),
+          messages: [
+            Message.user("What is in this image?"),
+            Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+            Message.tool({
+              id: "tool_1",
+              name: "read",
+              result: {
+                type: "content",
+                value: [
+                  { type: "text", text: "Image loaded." },
+                  { type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" },
+                  { type: "file", uri: "data:application/pdf;base64,QkI=", mime: "application/pdf", name: "note.pdf" },
+                ],
+              },
+            }),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages[2]).toEqual({
+        role: "user",
+        content: [
+          {
+            toolResult: {
+              toolUseId: "tool_1",
+              content: [
+                { text: "Image loaded." },
+                { text: 'Attached file "note.pdf" has document label "note".' },
+                { document: { format: "pdf", name: "note", source: { bytes: "QkI=" } } },
+              ],
+              status: "success",
+            },
+          },
+          { image: { format: "png", source: { bytes: "AAAA" } } },
+        ],
+      })
+    }),
+  )
+
+  it.effect("hoists tool-result images for other Bedrock model families", () =>
+    Effect.gen(function* () {
+      for (const id of [
+        "qwen.qwen3-vl-235b-a22b",
+        "global.xai.grok-4.7",
+        "global.moonshotai.kimi-k3",
+        "us.meta.llama4-scout-17b-instruct-v1:0",
+      ]) {
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+              id,
+            ),
+            messages: [
+              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+              Message.tool({
+                id: "tool_1",
+                name: "read",
+                result: {
+                  type: "content",
+                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+                },
+              }),
+            ],
+            cache: "none",
+          }),
+        )
+        expect(prepared.body.messages[1]).toEqual({
+          role: "user",
+          content: [
+            { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
+            { image: { format: "png", source: { bytes: "AAAA" } } },
+          ],
+        })
+      }
+    }),
+  )
+  ;["global.anthropic.claude-sonnet-4-5-20250929-v1:0", "us.amazon.nova-pro-v1:0"].forEach((id) => {
+    it.effect(`keeps ${id} tool images inside the result`, () =>
+      Effect.gen(function* () {
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+              id,
+            ),
+            messages: [
+              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+              Message.tool({
+                id: "tool_1",
+                name: "read",
+                result: {
+                  type: "content",
+                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+                },
+              }),
+            ],
+            cache: "none",
+          }),
+        )
+
+        expect(prepared.body.messages[1]).toEqual({
+          role: "user",
+          content: [
+            {
+              toolResult: {
+                toolUseId: "tool_1",
+                content: [{ image: { format: "png", source: { bytes: "AAAA" } } }],
+                status: "success",
+              },
+            },
+          ],
+        })
+      }),
+    )
+  })
+
+  it.effect("keeps parallel tool results before hoisted images and gives image-only results text", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+            "global.openai.gpt-6-sol",
+          ),
+          messages: [
+            Message.assistant([
+              ToolCallPart.make({ id: "tool_1", name: "first", input: {} }),
+              ToolCallPart.make({ id: "tool_2", name: "second", input: {} }),
+            ]),
+            Message.tool({
+              id: "tool_1",
+              name: "first",
+              result: {
+                type: "content",
+                value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+              },
+            }),
+            Message.tool({
+              id: "tool_2",
+              name: "second",
+              result: {
+                type: "content",
+                value: [
+                  { type: "text", text: "Second image." },
+                  { type: "file", uri: "data:image/jpeg;base64,BBBB", mime: "image/jpeg" },
+                ],
+              },
+            }),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages[1]).toEqual({
+        role: "user",
+        content: [
+          { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
+          { toolResult: { toolUseId: "tool_2", content: [{ text: "Second image." }], status: "success" } },
+          { image: { format: "png", source: { bytes: "AAAA" } } },
+          { image: { format: "jpeg", source: { bytes: "BBBB" } } },
+        ],
+      })
+    }),
+  )
+
  it.effect("decodes text-delta + messageStop + metadata usage from binary event stream", () =>
    Effect.gen(function* () {
      const body = eventStreamBody(
@@ -695,7 +867,7 @@ 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(Encoding.encodeBase64(partial))
+        expect(error.reason.body).toBe(Base64.encode(partial))
      }
    }),
  )
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/http"
 import { LLM, Message } from "../../src/index.js"
 import { AmazonBedrockMantle } from "../../src/providers.js"
 import { model } from "../../src/providers/amazon-bedrock/mantle.js"
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { ConfigProvider, Effect, Schema } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/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"
@@ -0,0 +1,78 @@
+import { describe, expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMRequest } from "../../src/index.js"
+import { DigitalOcean } from "../../src/providers/digitalocean.js"
+import { LLMClient } from "../../src/route.js"
+import {
+  LARGE_CACHEABLE_SYSTEM,
+  expectWeatherToolLoop,
+  goldenWeatherToolLoopRequest,
+  runWeatherToolLoop,
+} from "../recorded-scenarios.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({
+  prefix: "digitalocean-chat",
+  provider: "digitalocean",
+  protocol: "digitalocean-chat",
+  requires: ["DIGITAL_OCEAN_OFFICIAL_API_KEY"],
+})
+
+for (const item of [
+  { id: "anthropic-claude-haiku-4.5", name: "Haiku", maxTokens: 128, providerOptions: undefined },
+  { id: "openai-gpt-5-nano", name: "GPT Nano", maxTokens: 1024, providerOptions: { reasoningEffort: "minimal" } },
+] as const) {
+  const model = DigitalOcean.configure({
+    apiKey: process.env.DIGITAL_OCEAN_OFFICIAL_API_KEY ?? "fixture",
+    providerOptions: item.providerOptions,
+  }).model(item.id)
+
+  describe(`DigitalOcean ${item.name} recorded`, () => {
+    recorded.effect.with(
+      `${item.name} reuses a cached prompt`,
+      { tags: ["cache", "usage"], metadata: { model: item.id } },
+      () =>
+        Effect.gen(function* () {
+          const request = LLM.request({
+            model,
+            system: LARGE_CACHEABLE_SYSTEM,
+            prompt: "Reply exactly: OK",
+            promptCacheKey: `digitalocean-recorded-${item.id}`,
+            generation: { maxTokens: item.maxTokens },
+          })
+          const first = yield* LLMClient.generate(request)
+          const second = yield* LLMClient.generate(request)
+
+          expect(first.text.trim()).toMatch(/^OK\.?$/)
+          expect(second.text.trim()).toMatch(/^OK\.?$/)
+          expect(second.usage.cacheReadInputTokens).toBeGreaterThan(0)
+          for (const response of [first, second]) {
+            expect(response.usage.inputTokens).toBeGreaterThan(4096)
+            expect(response.usage.inputTokens).toBe(
+              (response.usage.nonCachedInputTokens ?? 0) +
+                (response.usage.cacheReadInputTokens ?? 0) +
+                (response.usage.cacheWriteInputTokens ?? 0),
+            )
+          }
+        }),
+      60_000,
+    )
+
+    recorded.effect.with(
+      `${item.name} continues a tool call with cache markers`,
+      { tags: ["cache", "tool", "tool-loop"], metadata: { model: item.id } },
+      () =>
+        Effect.gen(function* () {
+          const request = goldenWeatherToolLoopRequest({
+            id: `digitalocean-${item.id}-tool-loop`,
+            model,
+            maxTokens: item.maxTokens,
+            temperature: false,
+          })
+          const events = yield* runWeatherToolLoop(LLMRequest.update(request, { cache: "auto" }))
+          expectWeatherToolLoop(events)
+        }),
+      60_000,
+    )
+  })
+}
@@ -0,0 +1,123 @@
+import { describe, expect, test } from "bun:test"
+import { Effect } from "effect"
+import { CacheHint, LLM } from "../../src/index.js"
+import { compileRequest } from "../../src/route/client.js"
+import { DigitalOcean } from "../../src/providers/digitalocean.js"
+import { it } from "../lib/effect.js"
+import { fixedResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+import { LLMClient } from "../../src/route.js"
+
+describe("DigitalOcean", () => {
+  test("preserves package entrypoint headers and body overrides", () => {
+    const model = DigitalOcean.model("anthropic-claude-fable-5.1", {
+      apiKey: "test-key",
+      headers: { "X-Test": "fixture" },
+      body: { temperature: 0 },
+    })
+    expect(model.route.defaults?.http).toMatchObject({
+      headers: { "X-Test": "fixture" },
+      body: { temperature: 0 },
+    })
+  })
+
+  it.effect("prepares DigitalOcean models with default endpoint and auth", () =>
+    Effect.gen(function* () {
+      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
+
+      expect(model).toMatchObject({
+        id: "anthropic-claude-fable-5.1",
+        provider: "digitalocean",
+        route: { id: "digitalocean" },
+      })
+      expect(model.route.endpoint.baseURL).toBe("https://inference.do-ai.run/v1")
+
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
+
+      expect(prepared.route).toBe("digitalocean")
+      expect(prepared.body).toMatchObject({
+        model: "anthropic-claude-fable-5.1",
+        messages: [{ role: "user", content: "Say hello." }],
+        stream: true,
+      })
+    }),
+  )
+
+  it.effect("lowers the native cache policy to DigitalOcean cache_control markers", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1"),
+          system: [
+            { type: "text", text: "Base agent", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3_600 }) },
+            { type: "text", text: "Project instructions" },
+          ],
+          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
+          prompt: "Hello",
+          cache: { tools: true, system: true, messages: { tail: 1 } },
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ cache_control: { type: "ephemeral" } }],
+        messages: [
+          {
+            role: "system",
+            content: [
+              { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
+              { text: "Project instructions", cache_control: { type: "ephemeral" } },
+            ],
+          },
+          {
+            role: "user",
+            content: [{ text: "Hello", cache_control: { type: "ephemeral" } }],
+          },
+        ],
+      })
+    }),
+  )
+
+  it.effect("parses DigitalOcean cache usage fields into AI.Usage", () =>
+    Effect.gen(function* () {
+      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say OK" })).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              {
+                id: "chatcmpl-1",
+                object: "chat.completion.chunk",
+                created: 1,
+                model: "anthropic-claude-fable-5.1",
+                choices: [{ index: 0, delta: { content: "OK" }, finish_reason: null }],
+              },
+              {
+                id: "chatcmpl-1",
+                object: "chat.completion.chunk",
+                created: 1,
+                model: "anthropic-claude-fable-5.1",
+                choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+                usage: {
+                  prompt_tokens: 4491,
+                  completion_tokens: 8,
+                  total_tokens: 4499,
+                  cache_read_input_tokens: 4483,
+                  cache_created_input_tokens: 0,
+                },
+              },
+              "[DONE]",
+            ),
+          ),
+        ),
+      )
+
+      expect(response.usage).toMatchObject({
+        inputTokens: 4491,
+        outputTokens: 8,
+        nonCachedInputTokens: 8,
+        cacheReadInputTokens: 4483,
+        totalTokens: 4499,
+      })
+    }),
+  )
+})
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { Effect } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/http"
 import { LanguageModel, LLM, Message, ToolCallPart } from "../../src/index.js"
 import { GoogleVertex, GoogleVertexChat, GoogleVertexMessages, GoogleVertexResponses } from "../../src/providers.js"
 import { LLMClient } from "../../src/route.js"
@@ -302,6 +302,7 @@ describe("Google Vertex providers", () => {

      expect(model.provider).toBe("google-vertex")
      expect(response.text).toBe("Hello.")
+      expect(response.usage?.providerMetadata).toHaveProperty("vertex")
    }),
  )

@@ -171,6 +171,7 @@ describe("Groq recorded", () => {
        expect(response.text).not.toContain("<think>")
        expect(response.reasoning.length).toBeGreaterThan(0)
        expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+        expect(response.usage?.providerMetadata).toHaveProperty("groq")
        expectUsage(response)
      }),
    60_000,
@@ -1,6 +1,6 @@
 import { expect } from "bun:test"
 import { Effect, Layer } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/http"
 import { Image, ImageClient, LLM, LLMEvent, LLMRequest, Media, Message, ToolDefinition } from "../../src/index.js"
 import { Meta } from "../../src/providers/meta.js"
 import { MetaMessages } from "../../src/protocols/meta-messages.js"
@@ -1,6 +1,6 @@
 import { expect } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/http"
 import { Auth, LLM, LLMClient } from "../../src/index.js"
 import { Meta } from "../../src/providers/index.js"
 import { OpenAIChat } from "../../src/protocols/openai-chat.js"
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/http"
 import { LLM } from "../../src/index.js"
 import { MiniMax } from "../../src/providers.js"
 import { AnthropicMessages } from "../../src/protocols/anthropic-messages.js"
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { HttpClientRequest } from "effect/http"
 import { LLM, LLMEvent, Message, ToolDefinition, Media } from "../../src/index.js"
 import { Mistral } from "../../src/providers/index.js"
 import { MistralChat } from "../../src/protocols/index.js"
Author	SHA1	Message	Date
Kit Langton	ecac50a73b	chore: merge Effect rc.118 upgrade	2026-10-02 14:36:28 -07:00
Kit Langton	583ae4ff26	test(server): cover the session log SSE failure event Serve the real session.log declaration and verify that a mid-stream defect is written as the reserved effect/http-api/stream/failure event and that the generated Effect client fails the stream with the server's defect after delivering earlier items.	2026-10-02 14:34:03 -07:00
Kit Langton	4aed5b1daa	fix(schema): keep string patterns in exported JSON Schema Effect rc.118 omits isPattern constraints from JSON Schema unless the regular expression uses the Unicode flag. Add the u flag to the protocol and browser tool patterns, whose accepted strings are unchanged under Unicode matching, so the OpenAPI document and model tool definitions keep them.	2026-10-02 14:17:30 -07:00
Kit Langton	cf1acfd2fa	chore: upgrade Effect to rc.118 Move effect/unstable/* imports to their top-level entry points (effect/unstable/httpapi becomes effect/http-api), migrate Encoding helpers to effect/encoding Base64 and Base64Url, rename Schema.isStartsWith to Schema.isStartingWith, import Arbitrary from effect, and update the HttpApi codegen templates, regenerated clients, and documentation.	2026-10-02 14:17:30 -07:00
Kit Langton	6f97cea63b	fix(schema): define schema statics without assignment Effect 4.0.0-rc.118 moves Schema make/makeEffect/makeOption to lazy prototype getters without setters, so Object.assign onto a schema throws at module load. Define static members as own properties instead, and read the default SessionsCursor constructor through SchemaParser so the cached getter does not lock make before it is replaced.	2026-10-02 14:09:32 -07:00
Kit Langton	4270fcc9c2	test(core): pin user-visible configuration map order	2026-10-02 11:15:38 -07:00
Kit Langton	c86ee984ba	refactor(ai): share one encoded-side rule for empty tool inputs	2026-10-02 11:08:05 -07:00
Kit Langton	05deab90ed	fix(core): decode legacy permissions as ordered entries	2026-10-02 11:08:05 -07:00
Kit Langton	643cca88e3	chore: merge latest v2 into Effect upgrade	2026-10-01 19:43:54 -07:00
Aiden Cline	3bae692dd2	fix(ai): enable Alibaba chat prompt caching (#52612 )	2026-10-01 20:56:45 -05:00
Luke Parker	56145fce05	fix(app): restore pre-extension behavior found in the A/B audit (#52620 )	2026-10-02 11:41:46 +10:00
opencode-agent[bot]andrekram1-node	4f0d6d0ab6	docs(tui): correct shortcut reference (#52606 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 20:24:10 -05:00
opencode-agent[bot]andrekram1-node	5fdeed271d	docs(compaction): use authenticated API command (#52608 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 20:23:58 -05:00
opencode-agent[bot]andrekram1-node	ab5d49666a	docs(plugin): align session methods with API (#52607 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 19:58:30 -05:00
opencode-agent[bot]rekram1-node Aiden Cline	8a3185b66c	docs(websearch): include TinyFish provider (#52604 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com> Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>	2026-10-01 19:34:42 -05:00
opencode-agent[bot]andrekram1-node	37f3e239c6	docs(cli): fix command examples (#52603 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 19:34:08 -05:00
opencode-agent[bot]andrekram1-node	2deb0e250f	docs(mcp): correct session metadata key (#52602 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 19:33:37 -05:00
Aiden Cline	e41756cfc4	fix(ai): isolate Groq and Vertex metadata keys (#52598 )	2026-10-01 19:24:08 -05:00
Shoubhit Dash	8b24fc8c2a	feat(app): show last turn changes in review panel (#51640 )	2026-10-02 06:39:33 +08:00
Filip	0f9f0a9ae3	fix(core): ignore directories named AGENTS.md during instruction discovery (#52576 )	2026-10-01 23:12:26 +02:00
Aiden Cline	f9e61fd9a3	fix(core): drop legacy catalog context pricing (#52582 )	2026-10-01 16:09:38 -05:00
James Long	5256112bac	feat(cli): check for updates every 10 minutes (#52552 )	2026-10-01 16:29:04 -04:00
Filip	afc5d1e21f	test(core): test Azure plugin behavior instead of fakes (#52570 )	2026-10-01 21:42:39 +02:00
opencode-agent[bot]	80ecb3fc89	chore: update nix node_modules hashes	2026-10-01 19:19:55 +00:00
Shoubhit Dash	31a683f5ca	chore(acp): bump @agentclientprotocol/sdk to 1.6.0 (#52559 )	2026-10-02 00:38:00 +05:30
Aiden Cline	5d707f1a2b	fix(ai): classify Together input token rejections as context overflow (#52133 )	2026-10-01 14:07:15 -05:00
Aiden Cline	e2948f5a51	fix(core): skip automatic copies of directly read instructions (#52382 )	2026-10-01 13:59:02 -05:00
Filip	fbe8a9f7b4	feat(core): discover Azure deployments (#50053 )	2026-10-01 20:42:12 +02:00
Aiden Cline	033b9ea560	fix(ai): make Claude capability defaults forward-compatible (#52535 )	2026-10-01 13:20:54 -05:00
Shoubhit Dash	7bb3fbf095	feat(acp): support additional workspace directories (#52524 )	2026-10-01 23:47:00 +05:30
Shoubhit Dash	507e117466	chore(ci): remove unused ffmpeg install (#52547 )	2026-10-01 23:38:06 +05:30
Shoubhit Dash	1549712761	fix(acp): fall back to a reference for unreadable resource links (#52520 )	2026-10-01 23:03:39 +05:30
opencode-agent[bot]andrekram1-node	4f37be6265	fix(ai): place Bedrock tool images by model family (#52528 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 11:58:36 -05:00
Rémy SanchezandAiden Cline	7b04288099	fix(ai): support prompt caching for DigitalOcean inference (#51559 ) Co-authored-by: Aiden Cline <aidenpcline@gmail.com>	2026-10-01 11:56:04 -05:00
Kit Langton	54900febfc	fix(cli): keep generated config schema closed to unknown keys	2026-09-27 10:30:41 -03:00
Kit Langton	c73650371b	fix(core): keep legacy agent permission precedence in source order	2026-09-27 10:30:41 -03:00
Kit Langton	29dc70cff4	fix(codemode): derive empty tool inputs from the encoded schema	2026-09-27 10:05:39 -03:00
Kit Langton	15406155aa	chore: upgrade Effect to rc.117	2026-09-27 10:05:04 -03:00
Kit Langton	abfaa5210b	test(ai): align empty tool expectations with V2 Gemini schemas	2026-09-27 10:05:04 -03:00
Kit Langton	fbf47807fb	test(server): verify real PTY websocket transports	2026-09-27 09:56:40 -03:00
Kit Langton	67146125dc	fix: preserve tool schema compatibility with Effect rc.115	2026-09-27 09:56:40 -03:00
Kit Langton	8ba230e2fb	refactor(app): declare open legacy persistence shapes	2026-09-27 09:56:31 -03:00
Kit Langton	12e1821cc7	fix(client): accept rc.115 schema metadata	2026-09-27 09:56:23 -03:00
Kit Langton	63e66ca3e6	fix: preserve schema compatibility on rc.115	2026-09-27 09:56:23 -03:00
Kit Langton	cc782a0cc8	chore: upgrade Effect to rc.115	2026-09-27 09:56:23 -03:00