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275 changed files with 4761 additions and 8814 deletions
+9
View File
@@ -21,6 +21,15 @@ jobs:
with:
node-version: "24"
# Workaround for Pulumi version conflict:
# GitHub runners have Pulumi 3.212.0+ pre-installed, which removed the -root flag
# from pulumi-language-nodejs (see https://github.com/pulumi/pulumi/pull/21065).
# SST 3.17.x uses Pulumi SDK 3.210.0 which still passes -root, causing a conflict.
# Removing the system language plugin forces SST to use its bundled compatible version.
# TODO: Remove when sst supports Pulumi >3.210.0
- name: Fix Pulumi version conflict
run: sudo rm -f /usr/local/bin/pulumi-language-nodejs
- run: bun sst deploy --stage=${{ github.ref_name }}
env:
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
+134 -133
View File
@@ -23,13 +23,13 @@
"oxlint-tsgolint": "0.21.0",
"prettier": "3.6.2",
"semver": "^7.6.0",
"sst": "4.13.1",
"sst": "3.18.10",
"turbo": "2.8.13",
},
},
"packages/app": {
"name": "@opencode-ai/app",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -44,7 +44,6 @@
"@solid-primitives/i18n": "2.2.1",
"@solid-primitives/media": "2.3.3",
"@solid-primitives/resize-observer": "2.1.5",
"@solid-primitives/scheduled": "1.5.3",
"@solid-primitives/scroll": "2.1.3",
"@solid-primitives/storage": "catalog:",
"@solid-primitives/timer": "1.4.4",
@@ -85,7 +84,7 @@
},
"packages/console/app": {
"name": "@opencode-ai/console-app",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@ibm/plex": "6.4.1",
@@ -120,7 +119,7 @@
},
"packages/console/core": {
"name": "@opencode-ai/console-core",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@aws-sdk/client-sts": "3.782.0",
"@jsx-email/render": "1.1.1",
@@ -147,7 +146,7 @@
},
"packages/console/function": {
"name": "@opencode-ai/console-function",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@ai-sdk/anthropic": "3.0.64",
"@ai-sdk/openai": "3.0.48",
@@ -169,7 +168,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -193,7 +192,7 @@
},
"packages/core": {
"name": "@opencode-ai/core",
"version": "1.15.10",
"version": "1.15.6",
"bin": {
"opencode": "./bin/opencode",
},
@@ -231,7 +230,7 @@
"ai-gateway-provider": "3.1.2",
"cross-spawn": "catalog:",
"effect": "catalog:",
"gitlab-ai-provider": "6.7.0",
"gitlab-ai-provider": "6.6.0",
"glob": "13.0.5",
"google-auth-library": "10.5.0",
"immer": "11.1.4",
@@ -239,7 +238,7 @@
"minimatch": "10.2.5",
"npm-package-arg": "13.0.2",
"semver": "^7.6.3",
"venice-ai-sdk-provider": "2.0.2",
"venice-ai-sdk-provider": "2.0.1",
"xdg-basedir": "5.1.0",
"zod": "catalog:",
},
@@ -254,7 +253,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@zip.js/zip.js": "2.7.62",
"drizzle-orm": "catalog:",
@@ -309,7 +308,7 @@
},
"packages/effect-drizzle-sqlite": {
"name": "@opencode-ai/effect-drizzle-sqlite",
"version": "1.15.10",
"version": "1.15.5",
"dependencies": {
"drizzle-orm": "catalog:",
"effect": "catalog:",
@@ -323,7 +322,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@opencode-ai/core": "workspace:*",
"@opencode-ai/ui": "workspace:*",
@@ -353,7 +352,7 @@
},
"packages/function": {
"name": "@opencode-ai/function",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@octokit/auth-app": "8.0.1",
"@octokit/rest": "catalog:",
@@ -369,7 +368,7 @@
},
"packages/http-recorder": {
"name": "@opencode-ai/http-recorder",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@effect/platform-node": "catalog:",
"effect": "catalog:",
@@ -382,7 +381,7 @@
},
"packages/llm": {
"name": "@opencode-ai/llm",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@smithy/eventstream-codec": "4.2.14",
"@smithy/util-utf8": "4.2.2",
@@ -400,7 +399,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.15.10",
"version": "1.15.6",
"bin": {
"opencode": "./bin/opencode",
},
@@ -470,7 +469,7 @@
"drizzle-orm": "catalog:",
"effect": "catalog:",
"fuzzysort": "3.1.0",
"gitlab-ai-provider": "6.7.0",
"gitlab-ai-provider": "6.6.0",
"glob": "13.0.5",
"google-auth-library": "10.5.0",
"gray-matter": "4.0.3",
@@ -494,7 +493,7 @@
"tree-sitter-powershell": "0.25.10",
"turndown": "7.2.0",
"ulid": "catalog:",
"venice-ai-sdk-provider": "2.0.2",
"venice-ai-sdk-provider": "2.0.1",
"vscode-jsonrpc": "8.2.1",
"web-tree-sitter": "0.25.10",
"which": "6.0.1",
@@ -538,7 +537,7 @@
},
"packages/plugin": {
"name": "@opencode-ai/plugin",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"effect": "catalog:",
@@ -576,7 +575,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"cross-spawn": "catalog:",
},
@@ -591,7 +590,7 @@
},
"packages/slack": {
"name": "@opencode-ai/slack",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"@slack/bolt": "^3.17.1",
@@ -626,7 +625,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -675,7 +674,7 @@
},
"packages/web": {
"name": "@opencode-ai/web",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@astrojs/cloudflare": "12.6.3",
"@astrojs/markdown-remark": "6.3.1",
@@ -908,8 +907,6 @@
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"@aws-sdk/client-lambda": ["@aws-sdk/client-lambda@3.1048.0", "", { "dependencies": { "@aws-crypto/sha256-browser": "5.2.0", "@aws-crypto/sha256-js": "5.2.0", "@aws-sdk/core": "^3.974.11", "@aws-sdk/credential-provider-node": "^3.972.42", "@aws-sdk/types": "^3.973.8", "@smithy/core": "^3.24.2", "@smithy/fetch-http-handler": "^5.4.2", "@smithy/node-http-handler": "^4.7.2", "@smithy/types": "^4.14.1", "tslib": "^2.6.2" } }, "sha512-ryEYNVdilyWkKsOs/7Xy/l7+qjtSz4sll8NpcWD6AtONxjG/5OMaAhxxDkQb4iBoNMKnISxsARzQAp/Wa8pXIg=="],
"@aws-sdk/client-s3": ["@aws-sdk/client-s3@3.933.0", "", { "dependencies": { "@aws-crypto/sha1-browser": "5.2.0", "@aws-crypto/sha256-browser": "5.2.0", "@aws-crypto/sha256-js": "5.2.0", "@aws-sdk/core": "3.932.0", "@aws-sdk/credential-provider-node": "3.933.0", "@aws-sdk/middleware-bucket-endpoint": "3.930.0", "@aws-sdk/middleware-expect-continue": "3.930.0", "@aws-sdk/middleware-flexible-checksums": "3.932.0", "@aws-sdk/middleware-host-header": "3.930.0", "@aws-sdk/middleware-location-constraint": "3.930.0", "@aws-sdk/middleware-logger": "3.930.0", "@aws-sdk/middleware-recursion-detection": "3.933.0", "@aws-sdk/middleware-sdk-s3": "3.932.0", "@aws-sdk/middleware-ssec": "3.930.0", "@aws-sdk/middleware-user-agent": "3.932.0", "@aws-sdk/region-config-resolver": "3.930.0", "@aws-sdk/signature-v4-multi-region": "3.932.0", "@aws-sdk/types": "3.930.0", "@aws-sdk/util-endpoints": "3.930.0", "@aws-sdk/util-user-agent-browser": "3.930.0", "@aws-sdk/util-user-agent-node": "3.932.0", "@smithy/config-resolver": "^4.4.3", "@smithy/core": "^3.18.2", "@smithy/eventstream-serde-browser": "^4.2.5", "@smithy/eventstream-serde-config-resolver": "^4.3.5", "@smithy/eventstream-serde-node": "^4.2.5", "@smithy/fetch-http-handler": "^5.3.6", "@smithy/hash-blob-browser": "^4.2.6", "@smithy/hash-node": "^4.2.5", "@smithy/hash-stream-node": "^4.2.5", "@smithy/invalid-dependency": "^4.2.5", "@smithy/md5-js": "^4.2.5", "@smithy/middleware-content-length": "^4.2.5", "@smithy/middleware-endpoint": "^4.3.9", "@smithy/middleware-retry": "^4.4.9", "@smithy/middleware-serde": "^4.2.5", "@smithy/middleware-stack": "^4.2.5", "@smithy/node-config-provider": "^4.3.5", "@smithy/node-http-handler": "^4.4.5", "@smithy/protocol-http": "^5.3.5", "@smithy/smithy-client": "^4.9.5", "@smithy/types": "^4.9.0", "@smithy/url-parser": "^4.2.5", "@smithy/util-base64": "^4.3.0", "@smithy/util-body-length-browser": "^4.2.0", "@smithy/util-body-length-node": "^4.2.1", "@smithy/util-defaults-mode-browser": "^4.3.8", "@smithy/util-defaults-mode-node": "^4.2.11", "@smithy/util-endpoints": "^3.2.5", "@smithy/util-middleware": "^4.2.5", "@smithy/util-retry": "^4.2.5", "@smithy/util-stream": "^4.5.6", "@smithy/util-utf8": "^4.2.0", "@smithy/util-waiter": "^4.2.5", "tslib": "^2.6.2" } }, "sha512-KxwZvdxdCeWK6o8mpnb+kk7Kgb8V+8AjTwSXUWH1UAD85B0tjdo1cSfE5zoR5fWGol4Ml5RLez12a6LPhsoTqA=="],
"@aws-sdk/client-sso": ["@aws-sdk/client-sso@3.933.0", "", { "dependencies": { "@aws-crypto/sha256-browser": "5.2.0", "@aws-crypto/sha256-js": "5.2.0", "@aws-sdk/core": "3.932.0", "@aws-sdk/middleware-host-header": "3.930.0", "@aws-sdk/middleware-logger": "3.930.0", "@aws-sdk/middleware-recursion-detection": "3.933.0", "@aws-sdk/middleware-user-agent": "3.932.0", "@aws-sdk/region-config-resolver": "3.930.0", "@aws-sdk/types": "3.930.0", "@aws-sdk/util-endpoints": "3.930.0", "@aws-sdk/util-user-agent-browser": "3.930.0", "@aws-sdk/util-user-agent-node": "3.932.0", "@smithy/config-resolver": "^4.4.3", "@smithy/core": "^3.18.2", "@smithy/fetch-http-handler": "^5.3.6", "@smithy/hash-node": "^4.2.5", "@smithy/invalid-dependency": "^4.2.5", "@smithy/middleware-content-length": "^4.2.5", "@smithy/middleware-endpoint": "^4.3.9", "@smithy/middleware-retry": "^4.4.9", "@smithy/middleware-serde": "^4.2.5", "@smithy/middleware-stack": "^4.2.5", "@smithy/node-config-provider": "^4.3.5", "@smithy/node-http-handler": "^4.4.5", "@smithy/protocol-http": "^5.3.5", "@smithy/smithy-client": "^4.9.5", "@smithy/types": "^4.9.0", "@smithy/url-parser": "^4.2.5", "@smithy/util-base64": "^4.3.0", "@smithy/util-body-length-browser": "^4.2.0", "@smithy/util-body-length-node": "^4.2.1", "@smithy/util-defaults-mode-browser": "^4.3.8", "@smithy/util-defaults-mode-node": "^4.2.11", "@smithy/util-endpoints": "^3.2.5", "@smithy/util-middleware": "^4.2.5", "@smithy/util-retry": "^4.2.5", "@smithy/util-utf8": "^4.2.0", "tslib": "^2.6.2" } }, "sha512-zwGLSiK48z3PzKpQiDMKP85+fpIrPMF1qQOQW9OW7BGj5AuBZIisT2O4VzIgYJeh+t47MLU7VgBQL7muc+MJDg=="],
@@ -980,8 +977,6 @@
"@aws-sdk/xml-builder": ["@aws-sdk/xml-builder@3.930.0", "", { "dependencies": { "@smithy/types": "^4.9.0", "fast-xml-parser": "5.2.5", "tslib": "^2.6.2" } }, "sha512-YIfkD17GocxdmlUVc3ia52QhcWuRIUJonbF8A2CYfcWNV3HzvAqpcPeC0bYUhkK+8e8YO1ARnLKZQE0TlwzorA=="],
"@aws/durable-execution-sdk-js": ["@aws/durable-execution-sdk-js@1.0.2", "", { "dependencies": { "@aws-sdk/client-lambda": "^3.943.0" } }, "sha512-KIYBVqV9gArkWdPEDYOjJqLlO+NecmCXOXadNBlOspJTmqztwuiyb6aZc468bYWSGuL4Me/gyTIK97ubkwFNCw=="],
"@aws/lambda-invoke-store": ["@aws/lambda-invoke-store@0.2.4", "", {}, "sha512-iY8yvjE0y651BixKNPgmv1WrQc+GZ142sb0z4gYnChDDY2YqI4P/jsSopBWrKfAt7LOJAkOXt7rC/hms+WclQQ=="],
"@azure-rest/core-client": ["@azure-rest/core-client@2.6.0", "", { "dependencies": { "@azure/abort-controller": "^2.1.2", "@azure/core-auth": "^1.10.0", "@azure/core-rest-pipeline": "^1.22.0", "@azure/core-tracing": "^1.3.0", "@typespec/ts-http-runtime": "^0.3.0", "tslib": "^2.6.2" } }, "sha512-iuFKDm8XPzNxPfRjhyU5/xKZmcRDzSuEghXDHHk4MjBV/wFL34GmYVBZnn9wmuoLBeS1qAw9ceMdaeJBPcB1QQ=="],
@@ -1468,8 +1463,6 @@
"@napi-rs/wasm-runtime": ["@napi-rs/wasm-runtime@1.1.3", "", { "dependencies": { "@tybys/wasm-util": "^0.10.1" }, "peerDependencies": { "@emnapi/core": "^1.7.1", "@emnapi/runtime": "^1.7.1" } }, "sha512-xK9sGVbJWYb08+mTJt3/YV24WxvxpXcXtP6B172paPZ+Ts69Re9dAr7lKwJoeIx8OoeuimEiRZ7umkiUVClmmQ=="],
"@nodable/entities": ["@nodable/entities@2.1.0", "", {}, "sha512-nyT7T3nbMyBI/lvr6L5TyWbFJAI9FTgVRakNoBqCD+PmID8DzFrrNdLLtHMwMszOtqZa8PAOV24ZqDnQrhQINA=="],
"@nodelib/fs.scandir": ["@nodelib/fs.scandir@2.1.5", "", { "dependencies": { "@nodelib/fs.stat": "2.0.5", "run-parallel": "^1.1.9" } }, "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g=="],
"@nodelib/fs.stat": ["@nodelib/fs.stat@2.0.5", "", {}, "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A=="],
@@ -2178,7 +2171,7 @@
"@solid-primitives/rootless": ["@solid-primitives/rootless@1.5.3", "", { "dependencies": { "@solid-primitives/utils": "^6.4.0" }, "peerDependencies": { "solid-js": "^1.6.12" } }, "sha512-N8cIDAHbWcLahNRLr0knAAQvXyEdEMoAZvIMZKmhNb1mlx9e2UOv9BRD5YNwQUJwbNoYVhhLwFOEOcVXFx0HqA=="],
"@solid-primitives/scheduled": ["@solid-primitives/scheduled@1.5.3", "", { "peerDependencies": { "solid-js": "^1.6.12" } }, "sha512-oNwLE6E6lxJAWrc8QXuwM0k2oU1BnANnkChwMw82aK1j3+mWGJkG1IFe5gCwbV+afYmjI76t9JJV3md/8tLw+g=="],
"@solid-primitives/scheduled": ["@solid-primitives/scheduled@1.5.2", "", { "peerDependencies": { "solid-js": "^1.6.12" } }, "sha512-/j2igE0xyNaHhj6kMfcUQn5rAVSTLbAX+CDEBm25hSNBmNiHLu2lM7Usj2kJJ5j36D67bE8wR1hBNA8hjtvsQA=="],
"@solid-primitives/scroll": ["@solid-primitives/scroll@2.1.3", "", { "dependencies": { "@solid-primitives/event-listener": "^2.4.3", "@solid-primitives/rootless": "^1.5.2", "@solid-primitives/static-store": "^0.1.2" }, "peerDependencies": { "solid-js": "^1.6.12" } }, "sha512-Ejq/Z7zKo/6eIEFr1bFLzXFxiGBCMLuqCM8QB8urr3YdPzjSETFLzYRWUyRiDWaBQN0F7k0SY6S7ig5nWOP7vg=="],
@@ -2620,6 +2613,8 @@
"avvio": ["avvio@9.2.0", "", { "dependencies": { "@fastify/error": "^4.0.0", "fastq": "^1.17.1" } }, "sha512-2t/sy01ArdHHE0vRH5Hsay+RtCZt3dLPji7W7/MMOCEgze5b7SNDC4j5H6FnVgPkI1MTNFGzHdHrVXDDl7QSSQ=="],
"aws-sdk": ["aws-sdk@2.1692.0", "", { "dependencies": { "buffer": "4.9.2", "events": "1.1.1", "ieee754": "1.1.13", "jmespath": "0.16.0", "querystring": "0.2.0", "sax": "1.2.1", "url": "0.10.3", "util": "^0.12.4", "uuid": "8.0.0", "xml2js": "0.6.2" } }, "sha512-x511uiJ/57FIsbgUe5csJ13k3uzu25uWQE+XqfBis/sB0SFoiElJWXRkgEAUh0U6n40eT3ay5Ue4oPkRMu1LYw=="],
"aws-ssl-profiles": ["aws-ssl-profiles@1.1.2", "", {}, "sha512-NZKeq9AfyQvEeNlN0zSYAaWrmBffJh3IELMZfRpJVWgrpEbtEpnjvzqBPf+mxoI287JohRDoa+/nsfqqiZmF6g=="],
"aws4fetch": ["aws4fetch@1.0.20", "", {}, "sha512-/djoAN709iY65ETD6LKCtyyEI04XIBP5xVvfmNxsEP0uJB5tyaGBztSryRr4HqMStr9R06PisQE7m9zDTXKu6g=="],
@@ -2704,7 +2699,7 @@
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"@aws-sdk/client-lambda/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-web-identity/@aws-sdk/nested-clients/@aws-sdk/signature-v4-multi-region": ["@aws-sdk/signature-v4-multi-region@3.996.27", "", { "dependencies": { "@aws-sdk/types": "^3.973.8", "@smithy/core": "^3.24.2", "@smithy/signature-v4": "^5.4.2", "@smithy/types": "^4.14.1", "tslib": "^2.6.2" } }, "sha512-0Phbz4t6HI3D3skxvG2uI+VWU034/nSIw1T8d+FPzzQG9EQTrw94o9mOKO2Gv3n3Oc8P7JD7RAUxkoneLWv5Eg=="],
"@aws-sdk/client-sts/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-ini/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/client-sts/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/client-sso/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
@@ -7072,6 +7077,8 @@
"js-beautify/glob/minimatch/brace-expansion/balanced-match": ["balanced-match@1.0.2", "", {}, "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="],
"opencontrol/@modelcontextprotocol/sdk/express/type-is/media-typer": ["media-typer@1.1.0", "", {}, "sha512-aisnrDP4GNe06UcKFnV5bfMNPBUw4jsLGaWwWfnH3v02GnBuXX2MCVn5RbrWo0j3pczUilYblq7fQ7Nw2t5XKw=="],
"pkg-dir/find-up/locate-path/p-locate/p-limit": ["p-limit@2.3.0", "", { "dependencies": { "p-try": "^2.0.0" } }, "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w=="],
"pkg-up/find-up/locate-path/p-locate/p-limit": ["p-limit@2.3.0", "", { "dependencies": { "p-try": "^2.0.0" } }, "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w=="],
@@ -7080,12 +7087,6 @@
"tw-to-css/tailwindcss/chokidar/readdirp/picomatch": ["picomatch@2.3.2", "", {}, "sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA=="],
"@aws-sdk/client-lambda/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-ini/@aws-sdk/nested-clients/@aws-sdk/signature-v4-multi-region/@smithy/signature-v4": ["@smithy/signature-v4@5.4.3", "", { "dependencies": { "@smithy/core": "^3.24.3", "@smithy/types": "^4.14.2", "tslib": "^2.6.2" } }, "sha512-53+75QuPl6DL+ct6vVEB51FDO5oulXr20TPV46VvJZg76lIlXNWfxi8j+G2V/t0I2qxCBOa3vX/8bmjrpFVo9g=="],
"@aws-sdk/client-lambda/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/nested-clients/@aws-sdk/signature-v4-multi-region/@smithy/signature-v4": ["@smithy/signature-v4@5.4.3", "", { "dependencies": { "@smithy/core": "^3.24.3", "@smithy/types": "^4.14.2", "tslib": "^2.6.2" } }, "sha512-53+75QuPl6DL+ct6vVEB51FDO5oulXr20TPV46VvJZg76lIlXNWfxi8j+G2V/t0I2qxCBOa3vX/8bmjrpFVo9g=="],
"@aws-sdk/client-lambda/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-web-identity/@aws-sdk/nested-clients/@aws-sdk/signature-v4-multi-region/@smithy/signature-v4": ["@smithy/signature-v4@5.4.3", "", { "dependencies": { "@smithy/core": "^3.24.3", "@smithy/types": "^4.14.2", "tslib": "^2.6.2" } }, "sha512-53+75QuPl6DL+ct6vVEB51FDO5oulXr20TPV46VvJZg76lIlXNWfxi8j+G2V/t0I2qxCBOa3vX/8bmjrpFVo9g=="],
"@aws-sdk/client-sts/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/token-providers/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/credential-provider-cognito-identity/@aws-sdk/nested-clients/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.2.3", "", {}, "sha512-oKx6RUCuHfT3oyVjtnrmn19H1SiCqgJSg+54XqURKp5aCMbrXrhLjRN9TjuwMjiYstZ0MzDrHqkGZ5dFTKd+zg=="],
+11 -11
View File
@@ -4,7 +4,7 @@ import { domain } from "./stage"
const description = "Managed by SST (Don't edit in Honeycomb UI)"
const alertsDisabled = $app.stage !== "production"
const webhookRecipient = new honeycombio.WebhookRecipient("DiscordAlerts", {
const webhookRecipient = new honeycomb.WebhookRecipient("DiscordAlerts", {
name: $app.stage === "production" ? "Discord Alerts" : `Discord Alerts (${$app.stage})`,
url: `https://${domain}/honeycomb/webhook`,
secret: SECRET.HoneycombWebhookSecret.result,
@@ -67,7 +67,7 @@ IF(
)`,
})
return honeycombio.getQuerySpecificationOutput({
return honeycomb.getQuerySpecificationOutput({
breakdowns: ["model"],
calculatedFields: [failedHttpStatus],
calculations: [
@@ -99,7 +99,7 @@ const providerHttpErrorsQuery = () => {
expression: `IF(GT($llm.error.code, "400"), 1, 0)`,
})
return honeycombio.getQuerySpecificationOutput({
return honeycomb.getQuerySpecificationOutput({
breakdowns: ["provider"],
calculatedFields: [successHttpStatus, failedProviderHttpStatus],
calculations: [
@@ -140,7 +140,7 @@ const modelLowTpsQuery = (product: "go" | "zen") => {
{ column: "tps.output", op: "exists" },
]
return honeycombio.getQuerySpecificationOutput({
return honeycomb.getQuerySpecificationOutput({
breakdowns: ["model"],
calculations: [
{ op: "COUNT", name: "TOTAL", filterCombination: "AND", filters },
@@ -157,7 +157,7 @@ const modelLowTpsQuery = (product: "go" | "zen") => {
}).json
}
new honeycombio.Trigger("IncreasedModelHttpErrorsGo", {
new honeycomb.Trigger("IncreasedModelHttpErrorsGo", {
name: "Increased Model HTTP Errors [Go]",
description,
disabled: alertsDisabled,
@@ -177,7 +177,7 @@ new honeycombio.Trigger("IncreasedModelHttpErrorsGo", {
],
})
new honeycombio.Trigger("IncreasedModelHttpErrorsZen", {
new honeycomb.Trigger("IncreasedModelHttpErrorsZen", {
name: "Increased Model HTTP Errors [Zen]",
description,
disabled: alertsDisabled,
@@ -197,7 +197,7 @@ new honeycombio.Trigger("IncreasedModelHttpErrorsZen", {
],
})
new honeycombio.Trigger("LowModelTpsGo", {
new honeycomb.Trigger("LowModelTpsGo", {
name: "Low Model TPS [Go]",
description,
disabled: alertsDisabled,
@@ -217,7 +217,7 @@ new honeycombio.Trigger("LowModelTpsGo", {
],
})
new honeycombio.Trigger("LowModelTpsZen", {
new honeycomb.Trigger("LowModelTpsZen", {
name: "Low Model TPS [Zen]",
description,
disabled: alertsDisabled,
@@ -237,7 +237,7 @@ new honeycombio.Trigger("LowModelTpsZen", {
],
})
new honeycombio.Trigger("IncreasedProviderHttpErrors", {
new honeycomb.Trigger("IncreasedProviderHttpErrors", {
name: "Increased Provider HTTP Errors",
description,
disabled: alertsDisabled,
@@ -257,11 +257,11 @@ new honeycombio.Trigger("IncreasedProviderHttpErrors", {
],
})
new honeycombio.Trigger("IncreasedFreeTierRequests", {
new honeycomb.Trigger("IncreasedFreeTierRequests", {
name: "Increased Free Tier Requests",
description,
disabled: alertsDisabled,
queryJson: honeycombio.getQuerySpecificationOutput({
queryJson: honeycomb.getQuerySpecificationOutput({
calculations: [{ op: "COUNT" }],
filters: [
{ column: "event_type", op: "=", value: "completions" },
+1 -10
View File
@@ -3,7 +3,6 @@
stdenv,
bun,
nodejs,
darwin,
electron_41,
makeWrapper,
writableTmpDirAsHomeHook,
@@ -15,12 +14,7 @@ let
in
stdenv.mkDerivation (finalAttrs: {
pname = "opencode-desktop";
inherit (opencode)
version
src
node_modules
patches
;
inherit (opencode) version src node_modules;
nativeBuildInputs = [
bun
@@ -29,9 +23,6 @@ stdenv.mkDerivation (finalAttrs: {
writableTmpDirAsHomeHook
] ++ lib.optionals stdenv.hostPlatform.isLinux [
autoPatchelfHook
] ++ lib.optionals stdenv.hostPlatform.isDarwin [
# Ad-hoc sign the .app: --config.mac.identity=null below skips signing.
darwin.autoSignDarwinBinariesHook
];
buildInputs = lib.optionals stdenv.hostPlatform.isLinux [
+4 -4
View File
@@ -1,8 +1,8 @@
{
"nodeModules": {
"x86_64-linux": "sha256-qq8cKNcW10NRbPx2T/Gpzby4nx2qHzj0LWDwqyPl7rY=",
"aarch64-linux": "sha256-UguK4nObAL/ovGZQousveoXCmkcxEgWy7XSSzxVJNEY=",
"aarch64-darwin": "sha256-NibSqZiF0XMbFhOtl2CQvFe4N/BXB5UAdt2iKv7dIcI=",
"x86_64-darwin": "sha256-ZNeZSpYitdUjXx/sULAIoLXrM6+Vz+GXQxKpdfgXh60="
"x86_64-linux": "sha256-hIarzU3QNIvkwpfnearfsGaBMCSdovkOWAuvX+EBQI8=",
"aarch64-linux": "sha256-qu+86RNsBZhqzE3CEyg4XHD/3Czc/BqHhY3O1vyogtY=",
"aarch64-darwin": "sha256-7sXZdPh/R4fQBBMq36YdpQE6G2ELMZd08BqMhHbhwv4=",
"x86_64-darwin": "sha256-g5QWpX33R143sNR1G9m7UsSA3jygFyJjT7Kjyjo6sCc="
}
}
+1 -1
View File
@@ -98,7 +98,7 @@
"oxlint-tsgolint": "0.21.0",
"prettier": "3.6.2",
"semver": "^7.6.0",
"sst": "4.13.1",
"sst": "3.18.10",
"turbo": "2.8.13"
},
"dependencies": {
+3 -4
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/app",
"version": "1.15.10",
"version": "1.15.6",
"description": "",
"type": "module",
"exports": {
@@ -42,10 +42,10 @@
},
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
"@sentry/solid": "catalog:",
"@opencode-ai/sdk": "workspace:*",
"@opencode-ai/ui": "workspace:*",
"@sentry/solid": "catalog:",
"@opencode-ai/core": "workspace:*",
"@shikijs/transformers": "3.9.2",
"@solid-primitives/active-element": "2.1.3",
"@solid-primitives/audio": "1.4.2",
@@ -54,7 +54,6 @@
"@solid-primitives/i18n": "2.2.1",
"@solid-primitives/media": "2.3.3",
"@solid-primitives/resize-observer": "2.1.5",
"@solid-primitives/scheduled": "1.5.3",
"@solid-primitives/scroll": "2.1.3",
"@solid-primitives/storage": "catalog:",
"@solid-primitives/timer": "1.4.4",
+14 -9
View File
@@ -48,17 +48,22 @@ import { ErrorPage } from "./pages/error"
import { useCheckServerHealth } from "./utils/server-health"
const HomeRoute = lazy(() => import("@/pages/home"))
const Session = lazy(() => import("@/pages/session"))
const loadSession = () => import("@/pages/session")
const Session = lazy(loadSession)
const Loading = () => <div class="size-full" />
const SessionRoute = Object.assign(
() => (
<SessionProviders>
<Session />
</SessionProviders>
),
{ preload: Session.preload },
if (typeof location === "object" && /\/session(?:\/|$)/.test(location.pathname)) {
void loadSession()
}
const SessionRoute = () => (
<SessionProviders>
<Session />
</SessionProviders>
)
const SessionIndexRoute = () => <Navigate href="session" />
function UiI18nBridge(props: ParentProps) {
const language = useLanguage()
return <I18nProvider value={{ locale: language.intl, t: language.t }}>{props.children}</I18nProvider>
@@ -312,7 +317,7 @@ export function AppInterface(props: {
>
<Route path="/" component={HomeRoute} />
<Route path="/:dir" component={DirectoryLayout}>
<Route path="/" component={() => <Navigate href="session" />} />
<Route path="/" component={SessionIndexRoute} />
<Route path="/session/:id?" component={SessionRoute} />
</Route>
</Dynamic>
@@ -41,7 +41,9 @@ export function DialogConnectProvider(props: { provider: string }) {
})
const provider = createMemo(
() => providers.all().get(props.provider) ?? globalSync.data.provider.all.get(props.provider)!,
() =>
providers.all().find((x) => x.id === props.provider) ??
globalSync.data.provider.all.find((x) => x.id === props.provider)!,
)
const fallback = createMemo<ProviderAuthMethod[]>(() => [
{
@@ -524,7 +526,7 @@ export function DialogConnectProvider(props: { provider: string }) {
const code = createMemo(() => {
const instructions = store.authorization?.instructions
if (instructions?.includes(":")) {
return instructions.split(":").pop()?.trim()
return instructions.split(":")[1]?.trim()
}
return instructions
})
@@ -106,7 +106,7 @@ export function DialogCustomProvider(props: Props) {
form,
t: language.t,
disabledProviders: globalSync.data.config.disabled_providers ?? [],
existingProviderIDs: new Set(globalSync.data.provider.all.keys()),
existingProviderIDs: new Set(globalSync.data.provider.all.map((p) => p.id)),
})
batch(() => {
setForm("err", output.err)
@@ -91,7 +91,7 @@ export const DialogSelectModelUnpaid: Component<{ model?: ModelState }> = (props
<div class="w-full">
<List
class="w-full px-0"
key={(p) => p.id}
key={(x) => x?.id}
items={providers.popular}
activeIcon="plus-small"
sortBy={(a, b) => {
@@ -35,7 +35,7 @@ export const DialogSelectProvider: Component = () => {
key={(x) => x?.id}
items={() => {
language.locale()
return [{ id: CUSTOM_ID, name: customLabel() }, ...providers.all().values()]
return [{ id: CUSTOM_ID, name: customLabel() }, ...providers.all()]
}}
filterKeys={["id", "name"]}
groupBy={(x) => (popularProviders.includes(x.id) ? popularGroup() : otherGroup())}
@@ -52,7 +52,7 @@ export function SessionContextUsage(props: SessionContextUsageProps) {
}),
)
const metrics = createMemo(() => getSessionContextMetrics(messages(), [...providers.all().values()]))
const metrics = createMemo(() => getSessionContextMetrics(messages(), providers.all()))
const context = createMemo(() => metrics().context)
const cost = createMemo(() => {
return usd().format(metrics().totalCost)
@@ -132,7 +132,7 @@ export function SessionContextTab() {
}),
)
const metrics = createMemo(() => getSessionContextMetrics(messages(), [...providers.all().values()]))
const metrics = createMemo(() => getSessionContextMetrics(messages(), providers.all()))
const ctx = createMemo(() => metrics().context)
const formatter = createMemo(() => createSessionContextFormatter(language.intl()))
@@ -193,12 +193,6 @@ export const SettingsGeneral: Component = () => {
{ initialValue: null as DisplayBackend | null },
)
const [pinchZoom, { mutate: setPinchZoom }] = createResource(
() => (desktop() && platform.getPinchZoomEnabled ? true : false),
() => Promise.resolve(platform.getPinchZoomEnabled?.() ?? false).catch(() => false),
{ initialValue: false },
)
onMount(() => {
void theme.loadThemes()
})
@@ -245,13 +239,6 @@ export const SettingsGeneral: Component = () => {
})
}
const onPinchZoomChange = (checked: boolean) => {
setPinchZoom(checked)
const update = platform.setPinchZoomEnabled?.(checked)
if (!update) return
void update.catch(() => setPinchZoom(!checked))
}
const colorSchemeOptions = createMemo((): { value: ColorScheme; label: string }[] => [
{ value: "system", label: language.t("theme.scheme.system") },
{ value: "light", label: language.t("theme.scheme.light") },
@@ -742,45 +729,6 @@ export const SettingsGeneral: Component = () => {
</div>
)
const DisplaySection = () => (
<Show when={desktop()}>
<div class="flex flex-col gap-1">
<h3 class="text-14-medium text-text-strong pb-2">{language.t("settings.general.section.display")}</h3>
<SettingsList>
<SettingsRow
title={language.t("settings.general.row.pinchZoom.title")}
description={language.t("settings.general.row.pinchZoom.description")}
>
<div data-action="settings-pinch-zoom">
<Switch checked={pinchZoom.latest} onChange={onPinchZoomChange} />
</div>
</SettingsRow>
<Show when={linux()}>
<SettingsRow
title={
<div class="flex items-center gap-2">
<span>{language.t("settings.general.row.wayland.title")}</span>
<Tooltip value={language.t("settings.general.row.wayland.tooltip")} placement="top">
<span class="text-text-weak">
<Icon name="help" size="small" />
</span>
</Tooltip>
</div>
}
description={language.t("settings.general.row.wayland.description")}
>
<div data-action="settings-wayland">
<Switch checked={displayBackend.latest === "wayland"} onChange={onDisplayBackendChange} />
</div>
</SettingsRow>
</Show>
</SettingsList>
</div>
</Show>
)
console.log(import.meta.env)
return (
<div class="flex flex-col h-full overflow-y-auto no-scrollbar px-4 pb-10 sm:px-10 sm:pb-10">
@@ -801,7 +749,31 @@ export const SettingsGeneral: Component = () => {
<UpdatesSection />
<DisplaySection />
<Show when={linux()}>
<div class="flex flex-col gap-1">
<h3 class="text-14-medium text-text-strong pb-2">{language.t("settings.general.section.display")}</h3>
<SettingsList>
<SettingsRow
title={
<div class="flex items-center gap-2">
<span>{language.t("settings.general.row.wayland.title")}</span>
<Tooltip value={language.t("settings.general.row.wayland.tooltip")} placement="top">
<span class="text-text-weak">
<Icon name="help" size="small" />
</span>
</Tooltip>
</div>
}
description={language.t("settings.general.row.wayland.description")}
>
<div data-action="settings-wayland">
<Switch checked={displayBackend.latest === "wayland"} onChange={onDisplayBackendChange} />
</div>
</SettingsRow>
</SettingsList>
</div>
</Show>
<Show when={desktop() && import.meta.env.VITE_OPENCODE_CHANNEL === "beta"}>
<AdvancedSection />
+15 -114
View File
@@ -22,9 +22,6 @@ import { iife } from "@opencode-ai/core/util/iife"
import { base64Encode } from "@opencode-ai/core/util/encode"
import { Avatar as AvatarV2 } from "@opencode-ai/ui/v2/components/avatar-v2.jsx"
import { displayName, getProjectAvatarSource, projectForSession } from "@/pages/layout/helpers"
import { makeEventListener } from "@solid-primitives/event-listener"
import { StatusPopover } from "./status-popover"
import { SDKProvider } from "@/context/sdk"
type TauriDesktopWindow = {
startDragging?: () => Promise<void>
@@ -225,13 +222,19 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
const navigate = useNavigate()
const homeMatch = useMatch(() => "/")
const newSessionHref = () => {
if (params.dir) return `/${params.dir}/session`
const openNewSession = () => {
if (params.dir) {
navigate(`/${params.dir}/session`)
return
}
const project = layout.projects.list()[0]
if (!project) return "/"
if (!project) {
navigate("/")
return
}
return `/${base64Encode(project.worktree)}/session`
navigate(`/${base64Encode(project.worktree)}/session`)
}
type Tab = { dir: string; sessionId: string; href: string }
@@ -295,98 +298,6 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
() => new Map(projects().flatMap((project) => (project.id ? [[project.id, project] as const] : []))),
)
const currentSessionTab = () => {
if (!params.dir || !params.id) return
const href = makeSessionHref(params.dir, params.id)
return tabsStore.find((tab) => tab.href === href)
}
const closeCurrentSessionTab = () => {
const tab = currentSessionTab()
if (!tab) return false
tabsStoreActions.removeTab(tab.href)
return true
}
const closeNewSessionTab = () => {
if (!(params.dir && !params.id)) return false
const last = tabsStore[tabsStore.length - 1]
if (last) navigate(last.href)
else navigate("/")
return true
}
makeEventListener(
document,
"keydown",
(event) => {
if (!event.metaKey || event.ctrlKey || event.altKey || event.shiftKey) return
if (event.key.toLowerCase() !== "w") return
if (!(closeCurrentSessionTab() || closeNewSessionTab())) return
event.preventDefault()
event.stopPropagation()
},
{ capture: true },
)
command.register(() => {
const commands = [
{
id: `tab.prev`,
category: "tab",
title: "",
keybind: `mod+option+ArrowLeft`,
hidden: true,
onSelect: () => {
let index = tabsStore.findIndex((tab) => tab.href === currentSessionTab()?.href)
if (index === -1) return
index -= 1
if (index === -1) index = tabsStore.length - 1
const next = tabsStore[index]
if (next) navigate(next.href)
},
},
{
id: `tab.next`,
category: "tab",
title: "",
keybind: `mod+option+ArrowRight`,
hidden: true,
onSelect: () => {
let index = tabsStore.findIndex((tab) => tab.href === currentSessionTab()?.href)
if (index === -1) return
index += 1
if (index === tabsStore.length) index = 0
const next = tabsStore[index]
if (next) navigate(next.href)
},
},
...Array.from({ length: 9 }, (_, i) => {
const index = i
const number = index + 1
return {
id: `tab.${number}`,
category: "tab",
title: "",
keybind: `mod+${number}`,
disabled: layout.projects.list().length <= index,
hidden: true,
onSelect: () => {
const tab = tabsStore[index]
if (tab) navigate(tab.href)
},
}
}),
]
return commands
})
const tabsEnriched = iife(() => {
const base = mapArray(
() => tabsStore,
@@ -451,8 +362,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
size="large"
class="shrink-0"
icon={<IconV2 name="plus" />}
as="a"
href={newSessionHref()}
onClick={openNewSession}
aria-label={language.t("command.session.new")}
/>
}
@@ -465,15 +375,6 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
</Show>
<div class="min-w-0 flex-1" />
</div>
<Show when={currentSessionTab()?.dir} keyed>
{(dir) => (
<SDKProvider directory={dir}>
<Tooltip placement="bottom" value={language.t("status.popover.trigger")}>
<StatusPopover />
</Tooltip>
</SDKProvider>
)}
</Show>
<TitlebarUpdatePill update={props.update} />
<Show when={windows() && !electronWindows()}>
<div data-tauri-decorum-tb class="flex flex-row" />
@@ -677,15 +578,15 @@ function TabNavItem(props: {
const isActive = () => !!match()
return (
<div
class="group relative flex h-7 min-w-24 max-w-60 flex-row items-center gap-1.5 overflow-hidden whitespace-nowrap rounded-[6px] bg-[var(--tab-bg)] pl-1.5 [--tab-bg:var(--v2-background-bg-deep)] hover:[--tab-bg:var(--v2-background-bg-layer-02)] data-[active='true']:[--tab-bg:var(--v2-background-bg-layer-02)]"
class="group relative flex h-7 min-w-24 max-w-60 flex-row items-center gap-1.5 overflow-hidden whitespace-nowrap rounded-[6px] bg-[var(--tab-bg)] pl-1.5 pr-8 [--tab-bg:var(--v2-background-bg-deep)] hover:[--tab-bg:var(--v2-background-bg-layer-02)] data-[active='true']:[--tab-bg:var(--v2-background-bg-layer-02)]"
data-active={isActive()}
>
<a
href={props.href}
class="flex h-full min-w-0 flex-1 flex-row items-center gap-1.5 overflow-hidden text-[13px] font-medium text-v2-text-text-faint group-data-[active='true']:text-v2-text-text-base"
class="flex h-full min-w-0 flex-1 flex-row items-center gap-1.5 overflow-hidden text-[13px] font-medium leading-none tracking-[-0.04px] text-v2-text-text-faint group-data-[active='true']:text-v2-text-text-base"
>
<ProjectTabAvatar project={props.project} directory={props.directory} />
<span class="text-clip">{props.title}</span>
<span class="truncate">{props.title}</span>
</a>
<div class="absolute right-0 inset-y-0 flex flex-row items-center pr-1 py-1 w-8 pl-2">
@@ -723,7 +624,7 @@ function ProjectTabAvatar(props: { project?: LocalProject; directory: string })
function NewSessionTabItem(props: { href: string; title: string; onClose: () => void }) {
return (
<div class="group relative flex h-7 max-w-60 flex-row items-center gap-1.5 overflow-hidden rounded-[6px] bg-[var(--v2-overlay-simple-overlay-pressed)] pl-1.5 pr-8 whitespace-nowrap focus-within:outline focus-within:outline-2 focus-within:outline-offset-2 focus-within:outline-[var(--v2-border-border-focus)]">
<div class="group relative flex h-7 w-[135px] min-w-24 max-w-60 flex-row items-center gap-1.5 overflow-hidden rounded-[6px] bg-[var(--v2-overlay-simple-overlay-pressed)] pl-1.5 pr-8 whitespace-nowrap focus-within:outline focus-within:outline-2 focus-within:outline-offset-2 focus-within:outline-[var(--v2-border-border-focus)]">
<a
href={props.href}
aria-current="page"
-55
View File
@@ -232,9 +232,6 @@ export const { use: useGlobalSDK, provider: GlobalSDKProvider } = createSimpleCo
throwOnError: true,
})
const dirSyncContexts = new Map<string, ReturnType<typeof createDirSdkContext>>()
const dirSdkContextRefCounts = new Map<string, number>()
return {
url: currentServer.http.url,
client: sdk,
@@ -252,58 +249,6 @@ export const { use: useGlobalSDK, provider: GlobalSDKProvider } = createSimpleCo
...opts,
})
},
createDirSyncContext: (directory: string) => {
onCleanup(() => {
dirSdkContextRefCounts.set(directory, (dirSdkContextRefCounts.get(directory) ?? 0) - 1)
if (dirSdkContextRefCounts.get(directory) === 0) {
dirSyncContexts.delete(directory)
dirSdkContextRefCounts.delete(directory)
}
})
const cached = dirSyncContexts.get(directory)
if (cached) {
dirSdkContextRefCounts.set(directory, (dirSdkContextRefCounts.get(directory) ?? 0) + 1)
return cached
}
const ctx = createDirSdkContext(directory)
dirSyncContexts.set(directory, ctx)
dirSdkContextRefCounts.set(directory, 1)
return ctx
},
}
},
})
type SDKEventMap = {
[key in Event["type"]]: Extract<Event, { type: key }>
}
function createDirSdkContext(directory: string) {
const globalSDK = useGlobalSDK()
const client = globalSDK.createClient({
directory,
throwOnError: true,
})
const emitter = createGlobalEmitter<SDKEventMap>()
const unsub = globalSDK.event.on(directory, (event) => {
emitter.emit(event.type, event)
})
onCleanup(unsub)
return {
directory,
client,
event: emitter,
get url() {
return globalSDK.url
},
createClient(opts: Parameters<typeof globalSDK.createClient>[0]) {
return globalSDK.createClient(opts)
},
}
}
+11 -4
View File
@@ -1,4 +1,12 @@
import type { Config, OpencodeClient, Path, Project, ProviderAuthResponse, Todo } from "@opencode-ai/sdk/v2/client"
import type {
Config,
OpencodeClient,
Path,
Project,
ProviderAuthResponse,
ProviderListResponse,
Todo,
} from "@opencode-ai/sdk/v2/client"
import { showToast } from "@opencode-ai/ui/toast"
import { getFilename } from "@opencode-ai/core/util/path"
import { batch, createContext, getOwner, onCleanup, onMount, type ParentProps, untrack, useContext } from "solid-js"
@@ -29,7 +37,6 @@ import { createRefreshQueue } from "./global-sync/queue"
import { directoryKey } from "./global-sync/utils"
import { PathKey } from "@/utils/path-key"
import { createDirSyncContext } from "./directory-sync"
import { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
type GlobalStore = {
ready: boolean
@@ -39,7 +46,7 @@ type GlobalStore = {
session_todo: {
[sessionID: string]: Todo[]
}
provider: NormalizedProviderListResponse
provider: ProviderListResponse
provider_auth: ProviderAuthResponse
config: Config
reload: undefined | "pending" | "complete"
@@ -114,7 +121,7 @@ function createGlobalSync() {
return pathQuery.data ?? EMPTY
},
get provider() {
const EMPTY = { all: new Map(), connected: [], default: {} }
const EMPTY = { all: [], connected: [], default: {} }
if (providerQuery.isLoading) return EMPTY
return providerQuery.data ?? EMPTY
},
@@ -1,78 +0,0 @@
import { describe, expect, test } from "bun:test"
import { createStore } from "solid-js/store"
import { QueryClient } from "@tanstack/solid-query"
import type { Config, OpencodeClient, Project } from "@opencode-ai/sdk/v2/client"
import type { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
import { bootstrapDirectory } from "./bootstrap"
import type { State, VcsCache } from "./types"
const provider = { all: new Map(), connected: [], default: {} } satisfies NormalizedProviderListResponse
describe("bootstrapDirectory", () => {
test("marks a loading directory partial during bootstrap and complete after success", async () => {
const [store, setStore] = createStore<State>({
status: "loading",
agent: [],
command: [],
project: "",
projectMeta: undefined,
icon: undefined,
provider_ready: true,
provider,
config: {},
path: { state: "", config: "", worktree: "/project", directory: "/project", home: "/home" },
session: [],
sessionTotal: 0,
session_status: {},
session_working(id: string) {
return this.session_status[id]?.type !== "idle"
},
session_diff: {},
todo: {},
permission: {},
question: {},
mcp_ready: true,
mcp: {},
lsp_ready: true,
lsp: [],
vcs: undefined,
limit: 5,
message: {},
part: {},
part_text_accum_delta: {},
})
await bootstrapDirectory({
directory: "/project",
global: {
config: {} satisfies Config,
path: { state: "", config: "", worktree: "/project", directory: "/project", home: "/home" },
project: [{ id: "project", worktree: "/project" } as Project],
provider,
},
sdk: {
app: { agents: async () => ({ data: [{ name: "build", mode: "primary" }] }) },
config: { get: async () => ({ data: {} }) },
session: { status: async () => ({ data: {} }) },
vcs: { get: async () => ({ data: undefined }) },
command: { list: async () => ({ data: [] }) },
permission: { list: async () => ({ data: [] }) },
question: { list: async () => ({ data: [] }) },
mcp: { status: async () => ({ data: {} }) },
provider: { list: async () => ({ data: { all: [], connected: [], default: {} } }) },
} as unknown as OpencodeClient,
store,
setStore,
vcsCache: { setStore() {} } as unknown as VcsCache,
loadSessions() {},
translate: (key) => key,
queryClient: new QueryClient(),
})
expect(store.status).toBe("partial")
await new Promise((resolve) => setTimeout(resolve, 80))
expect(store.status).toBe("complete")
})
})
@@ -5,6 +5,7 @@ import type {
PermissionRequest,
Project,
ProviderAuthResponse,
ProviderListResponse,
QuestionRequest,
Session,
Todo,
@@ -19,7 +20,6 @@ import { cmp, normalizeAgentList, normalizeProviderList } from "./utils"
import { formatServerError } from "@/utils/server-errors"
import { QueryClient, queryOptions } from "@tanstack/solid-query"
import { loadMcpQuery } from "../global-sync"
import { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
type GlobalStore = {
ready: boolean
@@ -28,7 +28,7 @@ type GlobalStore = {
session_todo: {
[sessionID: string]: Todo[]
}
provider: NormalizedProviderListResponse
provider: ProviderListResponse
provider_auth: ProviderAuthResponse
config: Config
reload: undefined | "pending" | "complete"
@@ -208,7 +208,7 @@ export async function bootstrapDirectory(input: {
config: Config
path: Path
project: Project[]
provider: NormalizedProviderListResponse
provider: ProviderListResponse
}
queryClient: QueryClient
}) {
@@ -1,63 +1,10 @@
import { beforeAll, describe, expect, mock, test } from "bun:test"
import { createRoot, getOwner, type Owner } from "solid-js"
import { describe, expect, test } from "bun:test"
import { createRoot, getOwner } from "solid-js"
import { createStore } from "solid-js/store"
import type { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
import type { State } from "./types"
import type { QueryOptionsApi } from "../global-sync"
let createChildStoreManager: typeof import("./child-store").createChildStoreManager
import { createChildStoreManager } from "./child-store"
const child = () => createStore({} as State)
const provider = { all: new Map(), connected: [], default: {} } satisfies NormalizedProviderListResponse
const queryOptionsApi = {
globalConfig: () => ({ queryKey: ["globalConfig"], queryFn: async () => ({}) }),
projects: () => ({ queryKey: ["projects"], queryFn: async () => [] }),
providers: (directory: string | null) => ({ queryKey: [directory, "providers"], queryFn: async () => provider }),
path: (directory: string | null) => ({
queryKey: [directory, "path"],
queryFn: async () => ({
state: "",
config: "",
worktree: "",
directory: directory ?? "",
home: "",
}),
}),
agents: (directory: string) => ({ queryKey: [directory, "agents"], queryFn: async () => [] }),
mcp: (directory: string) => ({ queryKey: [directory, "mcp"], queryFn: async () => ({}) }),
lsp: (directory: string) => ({ queryKey: [directory, "lsp"], queryFn: async () => [] }),
sessions: (directory: string) => ({ queryKey: [directory, "loadSessions"] as const }),
} as unknown as QueryOptionsApi
function createOwner(callback: (owner: Owner) => void) {
return createRoot((dispose) => {
const owner = getOwner()
if (!owner) throw new Error("owner required")
callback(owner)
return dispose
})
}
beforeAll(async () => {
mock.module("@/utils/persist", () => ({
Persist: {
workspace: (...parts: string[]) => parts.join(":"),
},
persisted: (_target: string, store: unknown[]) => [store[0], store[1], null, () => true],
}))
mock.module("@tanstack/solid-query", () => ({
useQueries: () => [
{ isLoading: false, data: { state: "", config: "", worktree: "", directory: "", home: "" } },
{ isLoading: false, data: {} },
{ isLoading: false, data: [] },
{ isLoading: false, data: provider },
],
}))
createChildStoreManager = (await import("./child-store")).createChildStoreManager
})
describe("createChildStoreManager", () => {
test("does not evict the active directory during mark", () => {
@@ -75,8 +22,8 @@ describe("createChildStoreManager", () => {
onBootstrap() {},
onDispose() {},
translate: (key) => key,
queryOptions: queryOptionsApi,
global: { provider },
queryOptions: {} as any,
global: { provider: null! },
})
Array.from({ length: 30 }, (_, index) => `/pinned-${index}`).forEach((directory) => {
@@ -90,35 +37,4 @@ describe("createChildStoreManager", () => {
expect(manager.children[directory]).toBeDefined()
})
test("starts new child stores as loading and bootstraps them on first access", () => {
const bootstraps: string[] = []
let manager: ReturnType<typeof createChildStoreManager> | undefined
const dispose = createOwner((owner) => {
manager = createChildStoreManager({
owner,
isBooting: () => false,
isLoadingSessions: () => false,
onBootstrap(directory) {
bootstraps.push(directory)
},
onDispose() {},
translate: (key) => key,
queryOptions: queryOptionsApi,
global: { provider },
})
})
try {
if (!manager) throw new Error("manager required")
const [store] = manager.child("/project")
expect(store.status).toBe("loading")
expect(bootstraps).toEqual(["/project"])
} finally {
dispose()
}
})
})
@@ -1,7 +1,7 @@
import { createRoot, getOwner, onCleanup, runWithOwner, type Owner } from "solid-js"
import { createStore, type SetStoreFunction, type Store } from "solid-js/store"
import { Persist, persisted } from "@/utils/persist"
import type { VcsInfo } from "@opencode-ai/sdk/v2/client"
import type { ProviderListResponse, VcsInfo } from "@opencode-ai/sdk/v2/client"
import {
DIR_IDLE_TTL_MS,
MAX_DIR_STORES,
@@ -17,7 +17,6 @@ import { canDisposeDirectory, pickDirectoriesToEvict } from "./eviction"
import { useQueries } from "@tanstack/solid-query"
import { QueryOptionsApi } from "../global-sync"
import { directoryKey, type DirectoryKey } from "./utils"
import { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
export function createChildStoreManager(input: {
owner: Owner
@@ -28,7 +27,7 @@ export function createChildStoreManager(input: {
translate: (key: string, vars?: Record<string, string | number>) => string
queryOptions: QueryOptionsApi
global: {
provider: NormalizedProviderListResponse
provider: ProviderListResponse
}
}) {
const children: Record<string, [Store<State>, SetStoreFunction<State>]> = {}
@@ -191,9 +190,10 @@ export function createChildStoreManager(input: {
return !providerQuery.isLoading
},
get provider() {
const EMPTY = { all: new Map(), connected: [], default: {} }
const EMPTY = { all: [], connected: [], default: {} }
if (providerQuery.isLoading) return EMPTY
if (providerQuery.data?.all.size === 0 && input.global.provider.all.size > 0) return input.global.provider
if (providerQuery.data?.all.length === 0 && input.global.provider.all.length > 0)
return input.global.provider
return providerQuery.data ?? EMPTY
},
config: {},
@@ -8,6 +8,7 @@ import type {
Part,
Path,
PermissionRequest,
ProviderListResponse,
QuestionRequest,
Session,
SessionStatus,
@@ -15,7 +16,6 @@ import type {
Todo,
VcsInfo,
} from "@opencode-ai/sdk/v2/client"
import { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
import type { Accessor } from "solid-js"
import type { SetStoreFunction, Store } from "solid-js/store"
@@ -38,7 +38,7 @@ export type State = {
projectMeta: ProjectMeta | undefined
icon: string | undefined
provider_ready: boolean
provider: NormalizedProviderListResponse
provider: ProviderListResponse
config: Config
path: Path
session: Session[]
+5 -16
View File
@@ -1,5 +1,4 @@
import type { Agent, Project, ProviderListResponse } from "@opencode-ai/sdk/v2/client"
import { NormalizedProviderListResponse } from "@opencode-ai/ui/context"
export { pathKey as directoryKey, type PathKey as DirectoryKey } from "@/utils/path-key"
export const cmp = (a: string, b: string) => (a < b ? -1 : a > b ? 1 : 0)
@@ -18,23 +17,13 @@ export function normalizeAgentList(input: unknown): Agent[] {
return Object.values(input).filter(isAgent)
}
export function normalizeProviderList(input: ProviderListResponse): NormalizedProviderListResponse {
export function normalizeProviderList(input: ProviderListResponse): ProviderListResponse {
return {
...input,
all: new Map(
input.all.map(
(provider) =>
[
provider.id,
{
...provider,
models: Object.fromEntries(
Object.entries(provider.models).filter(([, info]) => info.status !== "deprecated"),
),
},
] as const,
),
),
all: input.all.map((provider) => ({
...provider,
models: Object.fromEntries(Object.entries(provider.models).filter(([, info]) => info.status !== "deprecated")),
})),
}
}
+1 -1
View File
@@ -90,7 +90,7 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
})
const validModel = (model: ModelKey) => {
const provider = providers.all().get(model.providerID)
const provider = providers.all().find((item) => item.id === model.providerID)
return !!provider?.models[model.modelID] && connected().has(model.providerID)
}
-6
View File
@@ -93,12 +93,6 @@ export type Platform = {
/** Webview zoom level (desktop only) */
webviewZoom?: Accessor<number>
/** Get whether native pinch/Ctrl-scroll zoom gestures are enabled (desktop only) */
getPinchZoomEnabled?(): Promise<boolean> | boolean
/** Allow native pinch/Ctrl-scroll zoom gestures (desktop only) */
setPinchZoomEnabled?(enabled: boolean): Promise<void> | void
/** Run a desktop-only menu action from the app chrome */
runDesktopMenuAction?(action: DesktopMenuAction): Promise<void> | void
+40 -2
View File
@@ -1,11 +1,49 @@
import type { Event } from "@opencode-ai/sdk/v2/client"
import { createSimpleContext } from "@opencode-ai/ui/context"
import { createGlobalEmitter } from "@solid-primitives/event-bus"
import { type Accessor, createEffect, createMemo, onCleanup } from "solid-js"
import { useGlobalSDK } from "./global-sdk"
type SDKEventMap = {
[key in Event["type"]]: Extract<Event, { type: key }>
}
export const { use: useSDK, provider: SDKProvider } = createSimpleContext({
name: "SDK",
init: (props: { directory: string }) => {
init: (props: { directory: Accessor<string> }) => {
const globalSDK = useGlobalSDK()
return globalSDK.createDirSyncContext(props.directory)
const directory = createMemo(props.directory)
const client = createMemo(() =>
globalSDK.createClient({
directory: directory(),
throwOnError: true,
}),
)
const emitter = createGlobalEmitter<SDKEventMap>()
createEffect(() => {
const unsub = globalSDK.event.on(directory(), (event) => {
emitter.emit(event.type, event)
})
onCleanup(unsub)
})
return {
get directory() {
return directory()
},
get client() {
return client()
},
event: emitter,
get url() {
return globalSDK.url
},
createClient(opts: Parameters<typeof globalSDK.createClient>[0]) {
return globalSDK.createClient(opts)
},
}
},
})
+55 -5
View File
@@ -1,4 +1,5 @@
import { Binary } from "@opencode-ai/core/util/binary"
import { createSimpleContext } from "@opencode-ai/ui/context"
import { useGlobalSync } from "./global-sync"
import { useSDK } from "./sdk"
import type { Message, Part } from "@opencode-ai/sdk/v2/client"
@@ -9,8 +10,26 @@ function sortParts(parts: Part[]) {
return parts.filter((part) => !!part?.id).sort((a, b) => cmp(a.id, b.id))
}
function runInflight(map: Map<string, Promise<void>>, key: string, task: () => Promise<void>) {
const pending = map.get(key)
if (pending) return pending
const promise = task().finally(() => {
map.delete(key)
})
map.set(key, promise)
return promise
}
const keyFor = (directory: string, id: string) => `${directory}\n${id}`
const cmp = (a: string, b: string) => (a < b ? -1 : a > b ? 1 : 0)
function merge<T extends { id: string }>(a: readonly T[], b: readonly T[]) {
const map = new Map(a.map((item) => [item.id, item] as const))
for (const item of b) map.set(item.id, item)
return [...map.values()].sort((x, y) => cmp(x.id, y.id))
}
type OptimisticStore = {
message: Record<string, Message[] | undefined>
part: Record<string, Part[] | undefined>
@@ -108,9 +127,40 @@ export function applyOptimisticRemove(draft: OptimisticStore, input: OptimisticR
delete draft.part[input.messageID]
}
export const useSync = () => {
const globalSync = useGlobalSync()
const sdk = useSDK()
return globalSync.createDirSyncContext(sdk.directory)
function setOptimisticAdd(setStore: (...args: unknown[]) => void, input: OptimisticAddInput) {
setStore("message", input.sessionID, (messages: Message[] | undefined) => {
if (!messages) return [input.message]
const result = Binary.search(messages, input.message.id, (m) => m.id)
const next = [...messages]
next.splice(result.index, 0, input.message)
return next
})
setStore("part", input.message.id, sortParts(input.parts))
}
function setOptimisticRemove(setStore: (...args: unknown[]) => void, input: OptimisticRemoveInput) {
setStore("message", input.sessionID, (messages: Message[] | undefined) => {
if (!messages) return messages
const result = Binary.search(messages, input.messageID, (m) => m.id)
if (!result.found) return messages
const next = [...messages]
next.splice(result.index, 1)
return next
})
setStore("part", (part: Record<string, Part[] | undefined>) => {
if (!(input.messageID in part)) return part
const next = { ...part }
delete next[input.messageID]
return next
})
}
export const { use: useSync, provider: SyncProvider } = createSimpleContext({
name: "Sync",
init: () => {
const globalSync = useGlobalSync()
const sdk = useSDK()
return globalSync.createDirSyncContext(sdk.directory)
},
})
+5 -22
View File
@@ -1,7 +1,6 @@
import { useGlobalSync } from "@/context/global-sync"
import { decode64 } from "@/utils/base64"
import { useParams } from "@solidjs/router"
import { Iterable, pipe } from "effect"
import { createMemo } from "solid-js"
export const popularProviders = [
@@ -30,32 +29,16 @@ export function useProviders() {
return {
all: () => providers().all,
default: () => providers().default,
popular: () =>
pipe(
providers().all,
Iterable.map(([, p]) => p),
Iterable.filter((p) => popularProviderSet.has(p.id)),
(v) => Array.from(v),
),
popular: () => providers().all.filter((p) => popularProviderSet.has(p.id)),
connected: () => {
const connected = new Set(providers().connected)
return pipe(
providers().all,
Iterable.map(([, p]) => p),
Iterable.filter((p) => connected.has(p.id)),
(v) => Array.from(v),
)
return providers().all.filter((p) => connected.has(p.id))
},
paid: () => {
const connected = new Set(providers().connected)
return [
...Iterable.filter(
providers().all,
([id]) =>
connected.has(id) &&
(id !== "opencode" || Object.values(providers().all.get(id)?.models ?? {}).some((m) => m.cost?.input)),
),
]
return providers().all.filter(
(p) => connected.has(p.id) && (p.id !== "opencode" || Object.values(p.models).some((m) => m.cost?.input)),
)
},
}
}
-2
View File
@@ -784,8 +784,6 @@ export const dict = {
"settings.general.row.showSessionProgressBar.title": "Show session progress bar",
"settings.general.row.showSessionProgressBar.description":
"Display the animated progress bar at the top of the session when the agent is working",
"settings.general.row.pinchZoom.title": "Pinch to zoom",
"settings.general.row.pinchZoom.description": "Allow trackpad pinch and Ctrl-scroll gestures to zoom",
"settings.general.row.wayland.title": "Use native Wayland",
"settings.general.row.wayland.description": "Disable X11 fallback on Wayland. Requires restart.",
+5 -3
View File
@@ -6,7 +6,7 @@ import { createEffect, createMemo, createResource, type ParentProps, Show } from
import { useLanguage } from "@/context/language"
import { LocalProvider } from "@/context/local"
import { SDKProvider } from "@/context/sdk"
import { useSync } from "@/context/sync"
import { SyncProvider, useSync } from "@/context/sync"
import { decode64 } from "@/utils/base64"
import { Schema } from "effect"
@@ -81,8 +81,10 @@ export default function Layout(props: ParentProps) {
return (
<Show when={resolved()} keyed>
{(resolved) => (
<SDKProvider directory={resolved}>
<DirectoryDataProvider directory={resolved}>{props.children}</DirectoryDataProvider>
<SDKProvider directory={() => resolved}>
<SyncProvider>
<DirectoryDataProvider directory={resolved}>{props.children}</DirectoryDataProvider>
</SyncProvider>
</SDKProvider>
)}
</Show>
+178 -54
View File
@@ -1,5 +1,5 @@
import type { Session } from "@opencode-ai/sdk/v2/client"
import { createMemo, For, Match, Show, Switch } from "solid-js"
import { createMemo, createSignal, For, Match, Show, Switch } from "solid-js"
import { createStore } from "solid-js/store"
import { useQuery } from "@tanstack/solid-query"
import { Button } from "@opencode-ai/ui/button"
@@ -18,6 +18,7 @@ import { DateTime } from "luxon"
import { useDialog } from "@opencode-ai/ui/context/dialog"
import { DialogSelectDirectory } from "@/components/dialog-select-directory"
import { DialogSelectServer } from "@/components/dialog-select-server"
import { DialogSelectModel } from "@/components/dialog-select-model"
import { useServer } from "@/context/server"
import { useGlobalSync } from "@/context/global-sync"
import { useLanguage } from "@/context/language"
@@ -466,6 +467,11 @@ function LegacyHome() {
const navigate = useNavigate()
const server = useServer()
const language = useLanguage()
const [promptText, setPromptText] = createSignal("")
const [selectedAgent, setSelectedAgent] = createSignal("frontend-specialist")
const [showProjectsDropdown, setShowProjectsDropdown] = createSignal(false)
const homedir = createMemo(() => sync.data.path.home)
const recent = createMemo(() => {
return sync.data.project
@@ -474,6 +480,8 @@ function LegacyHome() {
.slice(0, 5)
})
const currentProject = createMemo(() => recent()[0]?.worktree)
const serverDotClass = createMemo(() => {
const healthy = server.healthy()
if (healthy === true) return "bg-icon-success-base"
@@ -512,69 +520,185 @@ function LegacyHome() {
}
}
function handleModelSelect() {
dialog.show(() => <DialogSelectModel />)
}
function toggleAgent() {
const agents = ["frontend-specialist", "build", "general"]
const nextIndex = (agents.indexOf(selectedAgent()) + 1) % agents.length
setSelectedAgent(agents[nextIndex])
}
function handleSubmit() {
const projectToOpen = currentProject()
if (projectToOpen) {
openProject(projectToOpen)
} else {
chooseProject()
}
}
const activeModelName = createMemo(() => {
const model = sync.data.config.model
if (!model) return "GPT-5.7 Pro"
const parts = model.split("/")
return parts[parts.length - 1]
})
return (
<div class="mx-auto mt-55 w-full md:w-auto px-4">
<Logo class="md:w-xl opacity-12" />
<Button
size="large"
variant="ghost"
class="mt-4 mx-auto text-14-regular text-text-weak"
onClick={() => dialog.show(() => <DialogSelectServer />)}
>
<div
classList={{
"size-2 rounded-full": true,
[serverDotClass()]: true,
}}
/>
{server.name}
</Button>
<div class="mx-auto mt-24 w-full max-w-2xl px-6 flex flex-col items-center">
<div class="flex flex-col items-center gap-3 mb-10">
<div onClick={chooseProject} class="cursor-pointer hover:opacity-25 transition-opacity duration-200">
<Logo class="w-48 opacity-15" />
</div>
<Button
size="normal"
variant="ghost"
class="text-12-regular text-text-weak px-3"
onClick={() => dialog.show(() => <DialogSelectServer />)}
>
<div
classList={{
"size-1.5 rounded-full mr-2": true,
[serverDotClass()]: true,
}}
/>
{server.name}
</Button>
</div>
<Switch>
<Match when={sync.data.project.length > 0}>
<div class="mt-20 w-full flex flex-col gap-4">
<div class="flex gap-2 items-center justify-between pl-3">
<div class="text-14-medium text-text-strong">{language.t("home.recentProjects")}</div>
<Button icon="folder-add-left" size="normal" class="pl-2 pr-3" onClick={chooseProject}>
{language.t("command.project.open")}
</Button>
</div>
<ul class="flex flex-col gap-2">
<For each={recent()}>
{(project) => (
<Match when={recent().length > 0}>
<div class="w-full flex flex-col items-center gap-6">
<div class="text-20-medium text-text-strong text-center">{language.t("session.new.title")}</div>
<div class="w-full bg-surface-base border border-border-base rounded-xl p-4 flex flex-col gap-3 shadow-md relative">
<textarea
class="bg-transparent border-none outline-none text-14-regular text-text-base placeholder-text-weak w-full resize-none h-20 focus:outline-none"
placeholder="Ask anything, / for commands, @ for context..."
value={promptText()}
onInput={(e) => setPromptText(e.currentTarget.value)}
onKeyDown={(e) => {
if (e.key === "Enter" && !e.shiftKey) {
e.preventDefault()
handleSubmit()
}
}}
/>
<div class="flex flex-wrap items-center gap-2 pt-3 border-t border-border-weak-base">
<Button
size="small"
variant="ghost"
class="text-12-medium text-text-weak hover:text-text-strong flex items-center gap-1.5 px-2.5 py-1 bg-surface-raised-base hover:bg-surface-raised-base-hover border border-border-weak-base rounded-md"
onClick={toggleAgent}
>
<Icon name="sliders" size="small" class="shrink-0" />
<span>Agent: {selectedAgent()}</span>
</Button>
<Button
size="small"
variant="ghost"
class="text-12-medium text-text-weak hover:text-text-strong flex items-center gap-1.5 px-2.5 py-1 bg-surface-raised-base hover:bg-surface-raised-base-hover border border-border-weak-base rounded-md"
onClick={handleModelSelect}
>
<Icon name="brain" size="small" class="shrink-0" />
<span>Model: {activeModelName()}</span>
</Button>
<div class="relative">
<Button
size="large"
size="small"
variant="ghost"
class="text-14-mono text-left justify-between px-3"
onClick={() => openProject(project.worktree)}
class="text-12-medium text-text-weak hover:text-text-strong flex items-center gap-1.5 px-2.5 py-1 bg-surface-raised-base hover:bg-surface-raised-base-hover border border-border-weak-base rounded-md"
onClick={() => setShowProjectsDropdown(!showProjectsDropdown())}
>
{project.worktree.replace(homedir(), "~")}
<div class="text-14-regular text-text-weak">
{DateTime.fromMillis(project.time.updated ?? project.time.created).toRelative()}
</div>
<Icon name="folder" size="small" class="shrink-0" />
<span>Project: {currentProject() ? getFilename(currentProject()) : "Select Project"}</span>
</Button>
)}
</For>
</ul>
<Show when={showProjectsDropdown()}>
<div class="absolute left-0 mt-1 w-64 bg-surface-raised-base border border-border-base rounded-lg p-2 shadow-lg z-50 flex flex-col gap-1">
<div class="text-10-semibold text-text-weak px-2 py-1 uppercase tracking-wider">
{language.t("home.recentProjects")}
</div>
<For each={recent()}>
{(project) => (
<button
class="text-12-mono text-left px-2 py-1.5 hover:bg-surface-raised-base-hover rounded flex items-center justify-between w-full"
onClick={() => {
openProject(project.worktree)
setShowProjectsDropdown(false)
}}
>
<span class="truncate">{getFilename(project.worktree)}</span>
<span class="text-10-regular text-text-weak shrink-0 pl-2">
{DateTime.fromMillis(project.time.updated ?? project.time.created).toRelative()}
</span>
</button>
)}
</For>
<div class="border-t border-border-weak-base my-1" />
<button
class="text-12-medium text-text-strong text-left px-2 py-1.5 hover:bg-surface-raised-base-hover rounded flex items-center gap-2 w-full"
onClick={() => {
setShowProjectsDropdown(false)
chooseProject()
}}
>
<Icon name="folder-add-left" size="small" />
{language.t("command.project.open")}
</button>
</div>
</Show>
</div>
<Button
size="small"
variant="ghost"
class="text-12-medium text-text-weak flex items-center gap-1.5 px-2.5 py-1 bg-surface-raised-base border border-border-weak-base rounded-md cursor-default pointer-events-none"
>
<Icon name="branch" size="small" class="shrink-0" />
<span>Branch: dev</span>
</Button>
</div>
</div>
</div>
</Match>
<Match when={!sync.ready}>
<div class="mt-30 mx-auto flex flex-col items-center gap-3">
<div class="text-12-regular text-text-weak">{language.t("common.loading")}</div>
<Button class="px-3" onClick={chooseProject}>
{language.t("command.project.open")}
</Button>
</div>
</Match>
<Match when={true}>
<div class="mt-30 mx-auto flex flex-col items-center gap-3">
<Icon name="folder-add-left" size="large" />
<div class="flex flex-col gap-1 items-center justify-center">
<div class="text-14-medium text-text-strong">{language.t("home.empty.title")}</div>
<div class="text-12-regular text-text-weak">{language.t("home.empty.description")}</div>
<div class="w-full flex flex-col items-center gap-6">
<div class="text-20-medium text-text-strong text-center">{language.t("home.empty.title")}</div>
<div class="w-full bg-surface-base border border-border-base rounded-xl p-4 flex flex-col gap-3 shadow-md">
<div class="text-14-regular text-text-weak w-full min-h-[4rem] cursor-pointer" onClick={chooseProject}>
Ask anything, / for commands, @ for context...
</div>
<div class="flex flex-wrap items-center gap-2 pt-3 border-t border-border-weak-base">
<Button
size="small"
variant="ghost"
class="text-12-medium text-text-weak hover:text-text-strong flex items-center gap-1.5 px-2.5 py-1 bg-surface-raised-base hover:bg-surface-raised-base-hover border border-border-weak-base rounded-md"
onClick={chooseProject}
>
<Icon name="folder" size="small" class="shrink-0" />
<span>Open project</span>
</Button>
<Button
size="small"
variant="ghost"
class="text-12-medium text-text-weak hover:text-text-strong flex items-center gap-1.5 px-2.5 py-1 bg-surface-raised-base hover:bg-surface-raised-base-hover border border-border-weak-base rounded-md"
onClick={handleModelSelect}
>
<Icon name="brain" size="small" class="shrink-0" />
<span>Model: {activeModelName()}</span>
</Button>
</div>
</div>
<Button class="px-3 mt-1" onClick={chooseProject}>
{language.t("command.project.open")}
</Button>
</div>
</Match>
</Switch>
+18 -20
View File
@@ -89,7 +89,7 @@ import {
import { ProjectDragOverlay, SortableProject, type ProjectSidebarContext } from "./layout/sidebar-project"
import { SidebarContent } from "./layout/sidebar-shell"
const USE_NEW_DESIGN = import.meta.env.VITE_OPENCODE_CHANNEL !== "prod"
const USE_HOME_DESIGN = import.meta.env.VITE_OPENCODE_CHANNEL !== "prod"
export default function Layout(props: ParentProps) {
const [store, setStore, , ready] = persisted(
@@ -154,7 +154,7 @@ export default function Layout(props: ParentProps) {
const currentDir = createMemo(() => route().dir)
const [state, setState] = createStore({
autoselect: !initialDirectory && !USE_NEW_DESIGN,
autoselect: !initialDirectory && !USE_HOME_DESIGN,
busyWorkspaces: {} as Record<string, boolean>,
hoverProject: undefined as string | undefined,
scrollSessionKey: undefined as string | undefined,
@@ -1028,6 +1028,19 @@ export default function Layout(props: ParentProps) {
keybind: "mod+alt+arrowdown",
onSelect: () => navigateProjectByOffset(1),
},
...Array.from({ length: 9 }, (_, i) => {
const index = i
const number = index + 1
return {
id: `project.${number}`,
category: language.t("command.category.project"),
title: `Open Project {number}`,
keybind: `mod+${number}`,
disabled: layout.projects.list().length <= index,
hidden: true,
onSelect: () => navigateToProjectIndex(index),
}
}),
{
id: "provider.connect",
title: language.t("command.provider.connect"),
@@ -1142,21 +1155,6 @@ export default function Layout(props: ParentProps) {
},
]
if (!USE_NEW_DESIGN)
Array.from({ length: 9 }, (_, i) => {
const index = i
const number = index + 1
commands.push({
id: `project.${number}`,
category: language.t("command.category.project"),
title: `Open Project {number}`,
keybind: `mod+${number}`,
disabled: layout.projects.list().length <= index,
hidden: true,
onSelect: () => navigateToProjectIndex(index),
})
})
for (const [id] of availableThemeEntries()) {
commands.push({
id: `theme.set.${id}`,
@@ -1821,7 +1819,7 @@ export default function Layout(props: ParentProps) {
createEffect(() => {
document.documentElement.style.setProperty(
"--dialog-left-margin",
USE_NEW_DESIGN ? "0px" : `${layout.sidebar.opened() ? layout.sidebar.width() : 48}px`,
USE_HOME_DESIGN ? "0px" : `${layout.sidebar.opened() ? layout.sidebar.width() : 48}px`,
)
})
@@ -2305,7 +2303,7 @@ export default function Layout(props: ParentProps) {
<div
class="shrink-0 px-3 py-3"
classList={{
hidden: store.gettingStartedDismissed || !(providers.all().size > 0 && providers.paid().length === 0),
hidden: store.gettingStartedDismissed || !(providers.all().length > 0 && providers.paid().length === 0),
}}
>
<div class="rounded-xl bg-background-base shadow-xs-border-base" data-component="getting-started">
@@ -2363,7 +2361,7 @@ export default function Layout(props: ParentProps) {
/>
)
if (USE_NEW_DESIGN) {
if (USE_HOME_DESIGN) {
return (
<div class="relative bg-v2-background-bg-deep flex-1 min-h-0 min-w-0 flex flex-col select-none [&_input]:select-text [&_textarea]:select-text [&_[contenteditable]]:select-text">
{autoselecting() ?? ""}
+5 -9
View File
@@ -18,7 +18,6 @@ import {
import { makeEventListener } from "@solid-primitives/event-listener"
import { createMediaQuery } from "@solid-primitives/media"
import { createResizeObserver } from "@solid-primitives/resize-observer"
import { debounce } from "@solid-primitives/scheduled"
import { useLocal } from "@/context/local"
import { selectionFromLines, useFile, type FileSelection, type SelectedLineRange } from "@/context/file"
import { createStore } from "solid-js/store"
@@ -59,7 +58,6 @@ import { SessionSidePanel } from "@/pages/session/session-side-panel"
import { TerminalPanel } from "@/pages/session/terminal-panel"
import { useSessionCommands } from "@/pages/session/use-session-commands"
import { useSessionHashScroll } from "@/pages/session/use-session-hash-scroll"
import { shouldUseV2NewSessionPage } from "@/pages/session/new-session-layout"
import { Identifier } from "@/utils/id"
import { diffs as list } from "@/utils/diffs"
import { Persist, persisted } from "@/utils/persist"
@@ -264,10 +262,8 @@ export default function Page() {
const isDesktop = createMediaQuery("(min-width: 768px)")
const size = createSizing()
const isV2NewSessionPage = () =>
shouldUseV2NewSessionPage({ channel: import.meta.env.VITE_OPENCODE_CHANNEL, sessionID: params.id })
const desktopReviewOpen = createMemo(() => isDesktop() && view().reviewPanel.opened() && !isV2NewSessionPage())
const desktopFileTreeOpen = createMemo(() => isDesktop() && layout.fileTree.opened() && !isV2NewSessionPage())
const desktopReviewOpen = createMemo(() => isDesktop() && view().reviewPanel.opened())
const desktopFileTreeOpen = createMemo(() => isDesktop() && layout.fileTree.opened())
const desktopSidePanelOpen = createMemo(() => desktopReviewOpen() || desktopFileTreeOpen())
const sessionPanelWidth = createMemo(() => {
if (!desktopSidePanelOpen()) return "100%"
@@ -481,7 +477,7 @@ export default function Page() {
: skipToken,
}
})
const refreshVcs = debounce(() => void queryClient.invalidateQueries({ queryKey: vcsKey() }), 100)
const refreshVcs = () => void queryClient.invalidateQueries({ queryKey: vcsKey() })
const reviewDiffs = () => {
if (store.changes === "git" || store.changes === "branch")
// avoids suspense
@@ -1737,12 +1733,12 @@ export default function Page() {
</Tabs>
</Show>
{/* Session panel */}
<div
classList={{
"@container relative shrink-0 flex flex-col min-h-0 h-full bg-background-stronger flex-1 md:flex-none": true,
"duration-[240ms] ease-[cubic-bezier(0.22,1,0.36,1)] will-change-[width] motion-reduce:transition-none":
"transition-[width] duration-[240ms] ease-[cubic-bezier(0.22,1,0.36,1)] will-change-[width] motion-reduce:transition-none":
!size.active() && !ui.reviewSnap,
"transition-[width]": !isV2NewSessionPage(),
}}
style={{
width: sessionPanelWidth(),
@@ -1,14 +0,0 @@
import { describe, expect, test } from "bun:test"
import { shouldUseV2NewSessionPage } from "./new-session-layout"
describe("shouldUseV2NewSessionPage", () => {
test("keeps prod session pages on the legacy layout", () => {
expect(shouldUseV2NewSessionPage({ channel: "prod", sessionID: "ses_123" })).toBe(false)
expect(shouldUseV2NewSessionPage({ channel: "prod" })).toBe(false)
})
test("uses the v2 layout only for non-prod new-session pages", () => {
expect(shouldUseV2NewSessionPage({ channel: "dev" })).toBe(true)
expect(shouldUseV2NewSessionPage({ channel: "dev", sessionID: "ses_123" })).toBe(false)
})
})
@@ -1,3 +0,0 @@
export function shouldUseV2NewSessionPage(input: { channel?: "dev" | "beta" | "prod"; sessionID?: string }) {
return input.channel !== "prod" && !input.sessionID
}
@@ -55,7 +55,7 @@ export function SessionSidePanel(props: {
const language = useLanguage()
const command = useCommand()
const dialog = useDialog()
const { sessionKey, tabs, view, params } = useSessionLayout()
const { sessionKey, tabs, view } = useSessionLayout()
const isDesktop = createMediaQuery("(min-width: 768px)")
const shown = createMemo(
@@ -207,7 +207,7 @@ export function SessionSidePanel(props: {
})
return (
<Show when={isDesktop() && !(import.meta.env.VITE_OPENCODE_CHANNEL !== "prod" && !params.id)}>
<Show when={isDesktop()}>
<aside
id="review-panel"
aria-label={language.t("session.panel.reviewAndFiles")}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-app",
"version": "1.15.10",
"version": "1.15.6",
"type": "module",
"license": "MIT",
"scripts": {
+2 -2
View File
@@ -348,8 +348,8 @@ export const dict = {
"Free models include Big Pickle plus promotional models available at the time, with a quota of 200 requests/day. Go includes GLM-5.1, GLM-5, Kimi K2.5, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.5 Plus, Qwen3.6 Plus, MiniMax M2.5, MiniMax M2.7, DeepSeek V4 Pro, and DeepSeek V4 Flash with higher request quotas enforced across rolling windows (5-hour, weekly, and monthly), roughly equivalent to $12 per 5 hours, $30 per week, and $60 per month (actual request counts vary by model and usage).",
"zen.api.error.rateLimitExceeded": "Rate limit exceeded. Please try again later.",
"zen.api.error.modelNotSupported": "Model {{model}} is not supported",
"zen.api.error.modelFormatNotSupported": "Model {{model}} is not supported for format {{format}}",
"zen.api.error.modelNotSupported": "Model {{model}} not supported",
"zen.api.error.modelFormatNotSupported": "Model {{model}} not supported for format {{format}}",
"zen.api.error.noProviderAvailable": "No provider available",
"zen.api.error.providerNotSupported": "Provider {{provider}} not supported",
"zen.api.error.missingApiKey": "Missing API key.",
@@ -10,12 +10,9 @@ export function createRateLimiter(modelId: string, rateLimit: number | undefined
const dict = i18n(localeFromRequest(request))
const limits = Subscription.getFreeLimits()
// temporarily disable check headers
//const headersExist = Object.entries(limits.checkHeaders).every(
// ([name, value]) => request.headers.get(name)?.toLowerCase().includes(value) ?? false,
//)
//const dailyLimit = !headersExist ? limits.dailyRequestsFallback : (rateLimit ?? limits.dailyRequests)
const headersExist = true
const headersExist = Object.entries(limits.checkHeaders).every(
([name, value]) => request.headers.get(name)?.toLowerCase().includes(value) ?? false,
)
const dailyLimit = !headersExist ? limits.dailyRequestsFallback : (rateLimit ?? limits.dailyRequests)
const isDefaultModel = headersExist && !rateLimit
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/console-core",
"version": "1.15.10",
"version": "1.15.6",
"private": true,
"type": "module",
"license": "MIT",
+298 -1
View File
@@ -4,7 +4,304 @@
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../../sst-env.d.ts" />
import "sst"
declare module "sst" {
export interface Resource {
"ADMIN_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"AUTH_API_URL": {
"type": "sst.sst.Linkable"
"value": string
}
"AWS_SES_ACCESS_KEY_ID": {
"type": "sst.sst.Secret"
"value": string
}
"AWS_SES_SECRET_ACCESS_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_API_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_DEFAULT_ACCOUNT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Console": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"DISCORD_INCIDENT_WEBHOOK_URL": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_BOT_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_CHANNEL_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Database": {
"database": string
"host": string
"password": string
"port": number
"type": "sst.sst.Linkable"
"username": string
}
"EMAILOCTOPUS_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_PRIVATE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_ID_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_SECRET_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GOOGLE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"HONEYCOMB_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"HoneycombWebhookSecret": {
"type": "random.index/randomPassword.RandomPassword"
"value": string
}
"R2AccessKey": {
"type": "sst.sst.Secret"
"value": string
}
"R2SecretKey": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_INSTANCE_URL": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_PUBLISHABLE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_SECRET_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_WEBHOOK_SECRET": {
"type": "sst.sst.Linkable"
"value": string
}
"Teams": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"Web": {
"type": "sst.cloudflare.Astro"
"url": string
}
"WebApp": {
"type": "sst.cloudflare.StaticSite"
"url": string
}
"ZEN_BLACK_PRICE": {
"plan100": string
"plan20": string
"plan200": string
"product": string
"type": "sst.sst.Linkable"
}
"ZEN_LIMITS": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_LITE_PRICE": {
"firstMonth100Coupon": string
"firstMonth50Coupon": string
"price": string
"priceInr": number
"product": string
"sixMonths100Coupon": string
"threeMonths100Coupon": string
"twelveMonths100Coupon": string
"type": "sst.sst.Linkable"
}
"ZEN_MODELS1": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS10": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS11": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS12": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS13": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS14": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS15": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS16": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS17": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS18": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS19": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS2": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS20": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS21": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS22": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS23": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS24": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS25": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS26": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS27": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS28": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS29": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS3": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS30": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS4": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS5": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS6": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS7": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS8": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS9": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_SESSION_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
}
}
// cloudflare
import * as cloudflare from "@cloudflare/workers-types";
declare module "sst" {
export interface Resource {
"Api": cloudflare.Service
"AuthApi": cloudflare.Service
"AuthStorage": cloudflare.KVNamespace
"Bucket": cloudflare.R2Bucket
"EnterpriseStorage": cloudflare.R2Bucket
"LogProcessor": cloudflare.Service
"Stat": cloudflare.Service
"ZenData": cloudflare.R2Bucket
"ZenDataNew": cloudflare.R2Bucket
}
}
import "sst"
export {}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-function",
"version": "1.15.10",
"version": "1.15.6",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+298 -1
View File
@@ -4,7 +4,304 @@
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../../sst-env.d.ts" />
import "sst"
declare module "sst" {
export interface Resource {
"ADMIN_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"AUTH_API_URL": {
"type": "sst.sst.Linkable"
"value": string
}
"AWS_SES_ACCESS_KEY_ID": {
"type": "sst.sst.Secret"
"value": string
}
"AWS_SES_SECRET_ACCESS_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_API_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_DEFAULT_ACCOUNT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Console": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"DISCORD_INCIDENT_WEBHOOK_URL": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_BOT_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_CHANNEL_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Database": {
"database": string
"host": string
"password": string
"port": number
"type": "sst.sst.Linkable"
"username": string
}
"EMAILOCTOPUS_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_PRIVATE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_ID_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_SECRET_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GOOGLE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"HONEYCOMB_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"HoneycombWebhookSecret": {
"type": "random.index/randomPassword.RandomPassword"
"value": string
}
"R2AccessKey": {
"type": "sst.sst.Secret"
"value": string
}
"R2SecretKey": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_INSTANCE_URL": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_PUBLISHABLE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_SECRET_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_WEBHOOK_SECRET": {
"type": "sst.sst.Linkable"
"value": string
}
"Teams": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"Web": {
"type": "sst.cloudflare.Astro"
"url": string
}
"WebApp": {
"type": "sst.cloudflare.StaticSite"
"url": string
}
"ZEN_BLACK_PRICE": {
"plan100": string
"plan20": string
"plan200": string
"product": string
"type": "sst.sst.Linkable"
}
"ZEN_LIMITS": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_LITE_PRICE": {
"firstMonth100Coupon": string
"firstMonth50Coupon": string
"price": string
"priceInr": number
"product": string
"sixMonths100Coupon": string
"threeMonths100Coupon": string
"twelveMonths100Coupon": string
"type": "sst.sst.Linkable"
}
"ZEN_MODELS1": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS10": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS11": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS12": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS13": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS14": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS15": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS16": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS17": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS18": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS19": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS2": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS20": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS21": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS22": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS23": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS24": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS25": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS26": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS27": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS28": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS29": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS3": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS30": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS4": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS5": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS6": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS7": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS8": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS9": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_SESSION_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
}
}
// cloudflare
import * as cloudflare from "@cloudflare/workers-types";
declare module "sst" {
export interface Resource {
"Api": cloudflare.Service
"AuthApi": cloudflare.Service
"AuthStorage": cloudflare.KVNamespace
"Bucket": cloudflare.R2Bucket
"EnterpriseStorage": cloudflare.R2Bucket
"LogProcessor": cloudflare.Service
"Stat": cloudflare.Service
"ZenData": cloudflare.R2Bucket
"ZenDataNew": cloudflare.R2Bucket
}
}
import "sst"
export {}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-mail",
"version": "1.15.10",
"version": "1.15.6",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -5,11 +5,6 @@ export const Resource = new Proxy(
{},
{
get(_target, prop: string) {
if (`SST_RESOURCE_${prop}` in env) {
// @ts-expect-error
const value = env[`SST_RESOURCE_${prop}`]
return typeof value === "string" ? JSON.parse(value) : value
}
if (prop in env) {
// @ts-expect-error
const value = env[prop]
+298 -1
View File
@@ -4,7 +4,304 @@
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../../sst-env.d.ts" />
import "sst"
declare module "sst" {
export interface Resource {
"ADMIN_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"AUTH_API_URL": {
"type": "sst.sst.Linkable"
"value": string
}
"AWS_SES_ACCESS_KEY_ID": {
"type": "sst.sst.Secret"
"value": string
}
"AWS_SES_SECRET_ACCESS_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_API_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_DEFAULT_ACCOUNT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Console": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"DISCORD_INCIDENT_WEBHOOK_URL": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_BOT_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_CHANNEL_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Database": {
"database": string
"host": string
"password": string
"port": number
"type": "sst.sst.Linkable"
"username": string
}
"EMAILOCTOPUS_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_PRIVATE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_ID_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_SECRET_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GOOGLE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"HONEYCOMB_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"HoneycombWebhookSecret": {
"type": "random.index/randomPassword.RandomPassword"
"value": string
}
"R2AccessKey": {
"type": "sst.sst.Secret"
"value": string
}
"R2SecretKey": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_INSTANCE_URL": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_PUBLISHABLE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_SECRET_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_WEBHOOK_SECRET": {
"type": "sst.sst.Linkable"
"value": string
}
"Teams": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"Web": {
"type": "sst.cloudflare.Astro"
"url": string
}
"WebApp": {
"type": "sst.cloudflare.StaticSite"
"url": string
}
"ZEN_BLACK_PRICE": {
"plan100": string
"plan20": string
"plan200": string
"product": string
"type": "sst.sst.Linkable"
}
"ZEN_LIMITS": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_LITE_PRICE": {
"firstMonth100Coupon": string
"firstMonth50Coupon": string
"price": string
"priceInr": number
"product": string
"sixMonths100Coupon": string
"threeMonths100Coupon": string
"twelveMonths100Coupon": string
"type": "sst.sst.Linkable"
}
"ZEN_MODELS1": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS10": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS11": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS12": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS13": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS14": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS15": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS16": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS17": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS18": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS19": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS2": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS20": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS21": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS22": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS23": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS24": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS25": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS26": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS27": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS28": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS29": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS3": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS30": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS4": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS5": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS6": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS7": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS8": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS9": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_SESSION_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
}
}
// cloudflare
import * as cloudflare from "@cloudflare/workers-types";
declare module "sst" {
export interface Resource {
"Api": cloudflare.Service
"AuthApi": cloudflare.Service
"AuthStorage": cloudflare.KVNamespace
"Bucket": cloudflare.R2Bucket
"EnterpriseStorage": cloudflare.R2Bucket
"LogProcessor": cloudflare.Service
"Stat": cloudflare.Service
"ZenData": cloudflare.R2Bucket
"ZenDataNew": cloudflare.R2Bucket
}
}
import "sst"
export {}
+3 -3
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.15.10",
"version": "1.15.6",
"name": "@opencode-ai/core",
"type": "module",
"license": "MIT",
@@ -59,7 +59,7 @@
"ai-gateway-provider": "3.1.2",
"cross-spawn": "catalog:",
"effect": "catalog:",
"gitlab-ai-provider": "6.7.0",
"gitlab-ai-provider": "6.6.0",
"glob": "13.0.5",
"google-auth-library": "10.5.0",
"immer": "11.1.4",
@@ -67,7 +67,7 @@
"minimatch": "10.2.5",
"npm-package-arg": "13.0.2",
"semver": "^7.6.3",
"venice-ai-sdk-provider": "2.0.2",
"venice-ai-sdk-provider": "2.0.1",
"xdg-basedir": "5.1.0",
"zod": "catalog:"
},
-114
View File
@@ -1,114 +0,0 @@
export * as Git from "./git"
import path from "path"
import { Context, Effect, Layer } from "effect"
import { ChildProcess } from "effect/unstable/process"
import { AbsolutePath } from "./schema"
import { AppFileSystem } from "./filesystem"
import { AppProcess } from "./process"
export interface Repo {
/**
* The root directory of the working tree that contains the input path.
*
* For `/home/me/app/src/file.ts` in a normal clone, this is `/home/me/app`.
* For `/home/me/app-feature/src/file.ts` in a linked worktree, this is
* `/home/me/app-feature`.
*/
readonly directory: AbsolutePath
/**
* The shared Git storage directory used by this repo and any linked worktrees.
*
* For a normal clone at `/home/me/app`, this is usually `/home/me/app/.git`.
* For a linked worktree at `/home/me/app-feature` whose main checkout is
* `/home/me/app`, this is usually `/home/me/app/.git`.
*/
readonly store: AbsolutePath
}
export interface Interface {
readonly find: (input: AbsolutePath) => Effect.Effect<Repo | undefined>
readonly remote: (repo: Repo, name?: string) => Effect.Effect<string | undefined>
readonly roots: (repo: Repo) => Effect.Effect<string[]>
}
export class Service extends Context.Service<Service, Interface>()("@opencode/GitV2") {}
export const layer = Layer.effect(
Service,
Effect.gen(function* () {
const fs = yield* AppFileSystem.Service
const proc = yield* AppProcess.Service
const find = Effect.fn("Git.find")(function* (input: AbsolutePath) {
const dotgit = yield* fs.up({ targets: [".git"], start: input }).pipe(
Effect.map((matches) => matches[0]),
Effect.catch(() => Effect.succeed(undefined)),
)
if (!dotgit) return undefined
const cwd = path.dirname(dotgit)
const git = run(cwd, proc)
const topLevel = yield* git(["rev-parse", "--show-toplevel"])
const commonDir = yield* git(["rev-parse", "--git-common-dir"])
if (commonDir.exitCode !== 0) return undefined
return {
directory: AbsolutePath.make(topLevel.exitCode === 0 ? resolvePath(cwd, topLevel.text) : cwd),
store: AbsolutePath.make(resolvePath(cwd, commonDir.text)),
} satisfies Repo
})
const remote = Effect.fn("Git.remote")(function* (repo: Repo, name = "origin") {
const result = yield* run(repo.directory, proc)(["remote", "get-url", name])
if (result.exitCode !== 0) return undefined
return result.text.trim() || undefined
})
const roots = Effect.fn("Git.roots")(function* (repo: Repo) {
const result = yield* run(repo.directory, proc)(["rev-list", "--max-parents=0", "HEAD"])
if (result.exitCode !== 0) return []
return result.text
.split("\n")
.map((item) => item.trim())
.filter(Boolean)
.toSorted()
})
return Service.of({ find, remote, roots })
}),
)
export const defaultLayer = layer.pipe(
Layer.provide(AppFileSystem.defaultLayer),
Layer.provide(AppProcess.defaultLayer),
)
interface Result {
readonly exitCode: number
readonly text: string
}
function run(cwd: string, proc: AppProcess.Interface) {
return (args: string[]) =>
proc
.run(
ChildProcess.make("git", args, {
cwd,
extendEnv: true,
stdin: "ignore",
}),
)
.pipe(
Effect.map((result) => ({ exitCode: result.exitCode, text: result.stdout.toString("utf8") }) satisfies Result),
Effect.catch(() => Effect.succeed({ exitCode: 1, text: "" } satisfies Result)),
)
}
function resolvePath(cwd: string, value: string) {
const trimmed = value.replace(/[\r\n]+$/, "")
if (!trimmed) return cwd
const normalized = AppFileSystem.windowsPath(trimmed)
if (path.isAbsolute(normalized)) return path.normalize(normalized)
return path.resolve(cwd, normalized)
}
+1 -1
View File
@@ -1,6 +1,6 @@
export * as PluginBoot from "./boot"
import { Context, Deferred, Effect, Layer } from "effect"
import { Context, Deferred, Effect, Layer, Scope } from "effect"
import { AccountV2 } from "../account"
import { AgentV2 } from "../agent"
import { Catalog } from "../catalog"
@@ -25,8 +25,7 @@ function resolveLocation(options: Record<string, any>) {
}
function vertexEndpoint(location: string) {
if (location === "global") return "aiplatform.googleapis.com"
return `${location}-aiplatform.googleapis.com`
return location === "global" ? "aiplatform.googleapis.com" : `${location}-aiplatform.googleapis.com`
}
function replaceVertexVars(value: string, project: string | undefined, location: string) {
@@ -132,25 +131,16 @@ export const GoogleVertexAnthropicPlugin = PluginV2.define({
"aisdk.sdk": Effect.fn(function* (evt) {
if (evt.package !== "@ai-sdk/google-vertex/anthropic") return
const mod = yield* Effect.promise(() => import("@ai-sdk/google-vertex/anthropic"))
const project =
typeof evt.options.project === "string"
? evt.options.project
: (process.env.GOOGLE_CLOUD_PROJECT ?? process.env.GCP_PROJECT ?? process.env.GCLOUD_PROJECT)
const location =
typeof evt.options.location === "string"
? evt.options.location
: (process.env.GOOGLE_CLOUD_LOCATION ?? process.env.VERTEX_LOCATION ?? "global")
evt.sdk = mod.createVertexAnthropic({
...evt.options,
project,
location,
// Continental multi-regions (eu, us) require Regional Endpoint Platform
// domains; the default {region}-aiplatform.googleapis.com does not resolve.
...((location === "eu" || location === "us") && project && !evt.options.baseURL
? {
baseURL: `https://aiplatform.${location}.rep.googleapis.com/v1/projects/${project}/locations/${location}/publishers/anthropic/models`,
}
: {}),
project:
typeof evt.options.project === "string"
? evt.options.project
: (process.env.GOOGLE_CLOUD_PROJECT ?? process.env.GCP_PROJECT ?? process.env.GCLOUD_PROJECT),
location:
typeof evt.options.location === "string"
? evt.options.location
: (process.env.GOOGLE_CLOUD_LOCATION ?? process.env.VERTEX_LOCATION ?? "global"),
})
}),
"aisdk.language": Effect.fn(function* (evt) {
@@ -1,5 +1,6 @@
import { Effect } from "effect"
import { PluginV2 } from "../../plugin"
import { ProviderV2 } from "../../provider"
export const VercelPlugin = PluginV2.define({
id: PluginV2.ID.make("vercel"),
-129
View File
@@ -1,129 +0,0 @@
export * as Project from "./project"
import { Context, Effect, Layer, Schema } from "effect"
import path from "path"
import { AbsolutePath, withStatics } from "./schema"
import { AppFileSystem } from "./filesystem"
import { Git } from "./git"
import { Hash } from "./util/hash"
export const ID = Schema.String.pipe(
Schema.brand("Project.ID"),
withStatics((schema) => ({
global: schema.make("global"),
})),
)
export type ID = typeof ID.Type
export const Vcs = Schema.Union([
Schema.Struct({
type: Schema.Literal("git"),
store: AbsolutePath,
}),
])
export type Vcs = typeof Vcs.Type
export class Info extends Schema.Class<Info>("Project.Info")({
id: ID,
vcs: Schema.optional(Vcs),
}) {}
export interface Interface {
readonly resolve: (input: AbsolutePath) => Effect.Effect<
{
previous?: ID
id: ID
directory: AbsolutePath
vcs?: Vcs
},
never
>
/**
* Temporary bridge method for writing the resolved project ID to the repo-local cache.
*
* This exists while the old opencode project service and this core project
* service work together: core resolves the ID, while the old service still owns
* database migration and persistence. The old service should call this after it
* finishes migrating from `resolve().previous` to `resolve().id`; once project
* persistence moves into core, this separate bridge method can go away.
*/
readonly commit: (input: { store: AbsolutePath; id: ID }) => Effect.Effect<void>
}
export class Service extends Context.Service<Service, Interface>()("@opencode/ProjectV2") {}
export const layer = Layer.effect(
Service,
Effect.gen(function* () {
const fs = yield* AppFileSystem.Service
const git = yield* Git.Service
const cached = Effect.fnUntraced(function* (dir: string) {
return yield* fs.readFileString(path.join(dir, "opencode")).pipe(
Effect.map((value) => value.trim()),
Effect.map((value) => (value ? ID.make(value) : undefined)),
Effect.catch(() => Effect.succeed(undefined)),
)
})
const remote = Effect.fnUntraced(function* (repo: Git.Repo) {
const origin = yield* git.remote(repo)
if (!origin) return undefined
const normalized = url(origin)
if (!normalized) return undefined
return ID.make(Hash.fast(`git-remote:${normalized}`))
})
function url(input: string) {
const value = input.trim()
if (!value) return undefined
try {
const parsed = new URL(value)
if (parsed.protocol === "file:") return undefined
return parts(parsed.hostname, parsed.pathname)
} catch {
const scp = value.match(/^([^@/:]+@)?([^/:]+):(.+)$/)
if (scp) return parts(scp[2], scp[3])
return undefined
}
}
function parts(host: string, name: string) {
const pathname = name
.replace(/^\/+/, "")
.replace(/\.git\/?$/, "")
.replace(/\/+$/, "")
if (!host || !pathname) return undefined
return `${host.toLowerCase()}/${pathname}`
}
const root = Effect.fnUntraced(function* (repo: Git.Repo) {
const root = (yield* git.roots(repo))[0]
return root ? ID.make(root) : undefined
})
const resolve = Effect.fn("Project.resolve")(function* (input: AbsolutePath) {
const repo = yield* git.find(input)
if (!repo) return { id: ID.global, directory: input, vcs: undefined }
const previous = yield* cached(repo.store)
const id = (yield* remote(repo)) ?? previous ?? (yield* root(repo))
return {
previous,
id: id ?? ID.global,
directory: repo.directory,
vcs: { type: "git" as const, store: repo.store },
}
})
const commit = Effect.fn("Project.commit")(function* (input: { store: AbsolutePath; id: ID }) {
yield* fs.writeFileString(path.join(input.store, "opencode"), input.id).pipe(Effect.ignore)
})
return Service.of({ resolve, commit })
}),
)
export const defaultLayer = layer.pipe(Layer.provide(AppFileSystem.defaultLayer), Layer.provide(Git.defaultLayer))
-6
View File
@@ -1,11 +1,5 @@
import { Option, Schema, SchemaGetter } from "effect"
export const AbsolutePath = Schema.String.pipe(Schema.brand("AbsolutePath"))
export type AbsolutePath = typeof AbsolutePath.Type
export const RelativePath = Schema.String.pipe(Schema.brand("RelativePath"))
export type RelativePath = typeof RelativePath.Type
/**
* Integer greater than zero.
*/
-1
View File
@@ -65,6 +65,5 @@ export abstract class NamedError extends Error {
public static readonly Unknown = NamedError.create("UnknownError", {
message: Schema.String,
ref: Schema.optional(Schema.String),
})
}
@@ -4,7 +4,7 @@ import { Catalog } from "@opencode-ai/core/catalog"
import { PluginV2 } from "@opencode-ai/core/plugin"
import { CerebrasPlugin } from "@opencode-ai/core/plugin/provider/cerebras"
import { ProviderV2 } from "@opencode-ai/core/provider"
import { it, model } from "./provider-helper"
import { it, model, provider } from "./provider-helper"
const cerebrasOptions: Record<string, unknown>[] = []
@@ -2,7 +2,7 @@ import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { Catalog } from "@opencode-ai/core/catalog"
import { PluginV2 } from "@opencode-ai/core/plugin"
import { GoogleVertexAnthropicPlugin, GoogleVertexPlugin } from "@opencode-ai/core/plugin/provider/google-vertex"
import { GoogleVertexAnthropicPlugin } from "@opencode-ai/core/plugin/provider/google-vertex"
import { ProviderV2 } from "@opencode-ai/core/provider"
import { fakeSelectorSdk, it, model, withEnv } from "./provider-helper"
@@ -109,73 +109,6 @@ describe("GoogleVertexAnthropicPlugin", () => {
),
)
it.effect("creates SDKs for google-vertex Anthropic models with multi-region endpoints", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
yield* plugin.add(GoogleVertexAnthropicPlugin)
const result = yield* plugin.trigger(
"aisdk.sdk",
{
model: model("google-vertex", "claude-sonnet-4-5"),
package: "@ai-sdk/google-vertex/anthropic",
options: { name: "google-vertex", project: "project", location: "eu" },
},
{},
)
expect(result.sdk.languageModel("claude-sonnet-4-5").config.baseURL).toBe(
"https://aiplatform.eu.rep.googleapis.com/v1/projects/project/locations/eu/publishers/anthropic/models",
)
}),
)
it.effect("keeps configured baseURL for google-vertex Anthropic models", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
yield* plugin.add(GoogleVertexAnthropicPlugin)
const result = yield* plugin.trigger(
"aisdk.sdk",
{
model: model("google-vertex", "claude-sonnet-4-5"),
package: "@ai-sdk/google-vertex/anthropic",
options: { name: "google-vertex", project: "project", location: "eu", baseURL: "https://proxy.example/v1" },
},
{},
)
expect(result.sdk.languageModel("claude-sonnet-4-5").config.baseURL).toBe("https://proxy.example/v1")
}),
)
it.effect("selects google-vertex Anthropic language models through V2 plugins", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
yield* plugin.add(GoogleVertexPlugin)
yield* plugin.add(GoogleVertexAnthropicPlugin)
const sdkResult = yield* plugin.trigger(
"aisdk.sdk",
{
model: model("google-vertex", " claude-sonnet-4-5 "),
package: "@ai-sdk/google-vertex/anthropic",
options: { name: "google-vertex", project: "project", location: "us" },
},
{},
)
const languageResult = yield* plugin.trigger(
"aisdk.language",
{
model: model("google-vertex", " claude-sonnet-4-5 "),
sdk: sdkResult.sdk,
options: {},
},
{},
)
const language = languageResult.language as unknown as { config: { baseURL: string }; modelId: string }
expect(language.config.baseURL).toBe(
"https://aiplatform.us.rep.googleapis.com/v1/projects/project/locations/us/publishers/anthropic/models",
)
expect(language.modelId).toBe("claude-sonnet-4-5")
}),
)
it.effect("trims model IDs before selecting language models", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
@@ -160,32 +160,6 @@ describe("GoogleVertexPlugin", () => {
),
)
it.effect("keeps OpenAI-compatible Vertex endpoint templates regional for eu", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
const catalog = yield* Catalog.Service
yield* plugin.add(GoogleVertexPlugin)
const load = yield* catalog.loader()
yield* load((catalog) =>
catalog.provider.update(ProviderV2.ID.make("google-vertex"), (provider) => {
provider.endpoint = {
type: "aisdk",
package: "@ai-sdk/openai-compatible",
url: "https://${GOOGLE_VERTEX_ENDPOINT}/v1/projects/${GOOGLE_VERTEX_PROJECT}/locations/${GOOGLE_VERTEX_LOCATION}",
}
provider.options.aisdk.provider.project = "config-project"
provider.options.aisdk.provider.location = "eu"
}),
)
const provider = yield* catalog.provider.get(ProviderV2.ID.make("google-vertex"))
expect(provider.endpoint).toEqual({
type: "aisdk",
package: "@ai-sdk/openai-compatible",
url: "https://eu-aiplatform.googleapis.com/v1/projects/config-project/locations/eu",
})
}),
)
it.effect("defaults location to us-central1 when only project is configured", () =>
withEnv(
{
-220
View File
@@ -1,220 +0,0 @@
import { describe, expect } from "bun:test"
import { $ } from "bun"
import fs from "fs/promises"
import path from "path"
import { Effect } from "effect"
import { Project } from "@opencode-ai/core/project"
import { AbsolutePath } from "@opencode-ai/core/schema"
import { Hash } from "@opencode-ai/core/util/hash"
import { tmpdir } from "./fixture/tmpdir"
import { testEffect } from "./lib/effect"
const it = testEffect(Project.defaultLayer)
function remoteID(remote: string) {
return Project.ID.make(Hash.fast(`git-remote:${remote}`))
}
function abs(value: string) {
return AbsolutePath.make(value)
}
function real(value: string) {
return Effect.promise(() => fs.realpath(value)).pipe(Effect.map((value) => AbsolutePath.make(value)))
}
async function initRepo(dir: string, opts?: { commit?: boolean; remote?: string }) {
await $`git init`.cwd(dir).quiet()
await $`git config core.fsmonitor false`.cwd(dir).quiet()
await $`git config commit.gpgsign false`.cwd(dir).quiet()
await $`git config user.email test@opencode.test`.cwd(dir).quiet()
await $`git config user.name Test`.cwd(dir).quiet()
if (opts?.commit) await $`git commit --allow-empty -m root`.cwd(dir).quiet()
if (opts?.remote) await $`git remote add origin ${opts.remote}`.cwd(dir).quiet()
}
async function rootCommit(dir: string) {
return (await $`git rev-list --max-parents=0 HEAD`.cwd(dir).text()).trim()
}
describe("ProjectV2.resolve", () => {
it.live("returns global for non-git directory", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
const project = yield* Project.Service
const result = yield* project.resolve(abs(tmp.path))
expect(result.id).toBe(Project.ID.make("global"))
expect(path.resolve(result.directory)).toBe(path.resolve(tmp.path))
expect(result.previous).toBeUndefined()
expect(result.vcs).toBeUndefined()
}),
)
it.live("returns git global for repo with no commits and no remote", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path))
const project = yield* Project.Service
const result = yield* project.resolve(abs(tmp.path))
expect(result.id).toBe(Project.ID.make("global"))
expect(result.directory).toBe(yield* real(tmp.path))
expect(result.previous).toBeUndefined()
expect(result.vcs?.type).toBe("git")
}),
)
it.live("falls back to root commit when origin is missing", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true }))
const project = yield* Project.Service
const result = yield* project.resolve(abs(tmp.path))
expect(result.id).toBe(Project.ID.make(yield* Effect.promise(() => rootCommit(tmp.path))))
expect(result.directory).toBe(yield* real(tmp.path))
expect(result.previous).toBeUndefined()
expect(result.vcs?.type).toBe("git")
}),
)
it.live("prefers normalized origin over root commit", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true, remote: "git@github.com:Acme/App.git" }))
const project = yield* Project.Service
const result = yield* project.resolve(abs(tmp.path))
expect(result.id).toBe(remoteID("github.com/Acme/App"))
expect(result.id).not.toBe(Project.ID.make(yield* Effect.promise(() => rootCommit(tmp.path))))
expect(result.directory).toBe(yield* real(tmp.path))
expect(result.vcs?.type).toBe("git")
}),
)
it.live("normalizes ssh and https remotes to the same id", () =>
Effect.gen(function* () {
const ssh = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
const https = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(ssh.path, { commit: true, remote: "git@github.com:owner/repo.git" }))
yield* Effect.promise(() => initRepo(https.path, { commit: true, remote: "https://github.com/owner/repo.git" }))
const project = yield* Project.Service
const a = yield* project.resolve(abs(ssh.path))
const b = yield* project.resolve(abs(https.path))
expect(a.id).toBe(remoteID("github.com/owner/repo"))
expect(b.id).toBe(a.id)
}),
)
it.live("ignores file remotes and falls back to root commit", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true, remote: `file://${tmp.path}` }))
const project = yield* Project.Service
const result = yield* project.resolve(abs(tmp.path))
expect(result.id).toBe(Project.ID.make(yield* Effect.promise(() => rootCommit(tmp.path))))
}),
)
it.live("returns previous cached id from common dir", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true, remote: "git@github.com:owner/repo.git" }))
yield* Effect.promise(() => Bun.write(path.join(tmp.path, ".git", "opencode"), "old-id"))
const project = yield* Project.Service
const result = yield* project.resolve(abs(tmp.path))
expect(result.previous).toBe(Project.ID.make("old-id"))
expect(result.id).toBe(remoteID("github.com/owner/repo"))
}),
)
it.live("does not write the cache while resolving", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true, remote: "git@github.com:owner/repo.git" }))
const project = yield* Project.Service
yield* project.resolve(abs(tmp.path))
expect(yield* Effect.promise(() => Bun.file(path.join(tmp.path, ".git", "opencode")).exists())).toBe(false)
}),
)
it.live("resolves from nested directories to repo root", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true }))
yield* Effect.promise(() => fs.mkdir(path.join(tmp.path, "a", "b"), { recursive: true }))
const project = yield* Project.Service
const result = yield* project.resolve(abs(path.join(tmp.path, "a", "b")))
expect(result.directory).toBe(yield* real(tmp.path))
}),
)
it.live("linked worktree returns opened worktree directory and previous from common dir", () =>
Effect.gen(function* () {
const tmp = yield* Effect.acquireRelease(
Effect.promise(() => tmpdir()),
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
)
const worktree = `${tmp.path}-worktree`
yield* Effect.addFinalizer(() =>
Effect.promise(() => $`rm -rf ${worktree}`.quiet().nothrow()).pipe(Effect.ignore),
)
yield* Effect.promise(() => initRepo(tmp.path, { commit: true, remote: "git@github.com:owner/repo.git" }))
yield* Effect.promise(() => Bun.write(path.join(tmp.path, ".git", "opencode"), "old-id"))
yield* Effect.promise(() => $`git worktree add ${worktree} -b test-${Date.now()}`.cwd(tmp.path).quiet())
const project = yield* Project.Service
const result = yield* project.resolve(abs(worktree))
expect(result.directory).toBe(yield* real(worktree))
expect(result.previous).toBe(Project.ID.make("old-id"))
expect(result.id).toBe(remoteID("github.com/owner/repo"))
expect(result.vcs?.type).toBe("git")
}),
)
})
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/desktop",
"private": true,
"version": "1.15.10",
"version": "1.15.6",
"type": "module",
"license": "MIT",
"homepage": "https://opencode.ai",
-1
View File
@@ -7,5 +7,4 @@ export const CHANNEL: Channel = raw === "dev" || raw === "beta" || raw === "prod
export const SETTINGS_STORE = "opencode.settings"
export const DEFAULT_SERVER_URL_KEY = "defaultServerUrl"
export const WSL_ENABLED_KEY = "wslEnabled"
export const PINCH_ZOOM_ENABLED_KEY = "pinchZoomEnabled"
export const UPDATER_ENABLED = app.isPackaged && CHANNEL !== "dev"
+1 -5
View File
@@ -14,7 +14,7 @@ import type {
} from "../preload/types"
import { runDesktopMenuAction } from "./desktop-menu-actions"
import { getStore } from "./store"
import { getPinchZoomEnabled, setPinchZoomEnabled, setTitlebar, updateTitlebar } from "./windows"
import { setTitlebar, updateTitlebar } from "./windows"
const pickerFilters = (ext?: string[]) => {
if (!ext || ext.length === 0) return undefined
@@ -202,10 +202,6 @@ export function registerIpcHandlers(deps: Deps) {
if (!win) return
updateTitlebar(win)
})
ipcMain.handle("get-pinch-zoom-enabled", () => getPinchZoomEnabled())
ipcMain.handle("set-pinch-zoom-enabled", (_event: IpcMainInvokeEvent, enabled: boolean) => {
setPinchZoomEnabled(enabled)
})
ipcMain.handle("set-titlebar", (event: IpcMainInvokeEvent, theme: TitlebarTheme) => {
const win = BrowserWindow.fromWebContents(event.sender)
if (!win) return
+5 -53
View File
@@ -1,14 +1,9 @@
import windowState from "electron-window-state"
import { resolveThemeVariant } from "@opencode-ai/ui/theme/resolve"
import type { DesktopTheme } from "@opencode-ai/ui/theme/types"
import oc2ThemeJson from "../../../ui/src/theme/themes/oc-2.json"
import { app, BrowserWindow, dialog, net, nativeImage, nativeTheme, protocol } from "electron"
import { dirname, isAbsolute, join, relative, resolve } from "node:path"
import { fileURLToPath, pathToFileURL } from "node:url"
import type { TitlebarTheme } from "../preload/types"
import { PINCH_ZOOM_ENABLED_KEY } from "./constants"
import { exportDebugLogs, write as writeLog } from "./logging"
import { getStore } from "./store"
import { createUnresponsiveSampler } from "./unresponsive"
const root = dirname(fileURLToPath(import.meta.url))
@@ -18,11 +13,6 @@ const rendererHost = "renderer"
const clipboardWritePermission = "clipboard-sanitized-write"
const notificationPermission = "notifications"
const rendererPermissions = new Set([clipboardWritePermission, notificationPermission])
const oc2Theme = oc2ThemeJson as DesktopTheme
const oc2Background = {
light: resolveThemeVariant(oc2Theme.light, false)["background-base"],
dark: resolveThemeVariant(oc2Theme.dark, true)["background-base"],
}
const documentPolicyHeader = "Document-Policy"
const jsCallStacksDocumentPolicy = "include-js-call-stacks-in-crash-reports"
@@ -43,10 +33,7 @@ let relaunchHandler = () => {
app.exit(0)
}
const titlebarThemes = new WeakMap<BrowserWindow, Partial<TitlebarTheme>>()
const pinchZoomEnabled = new WeakMap<BrowserWindow, boolean>()
const titlebarHeight = 40
const maxZoomLevel = 10
const minZoomLevel = 0.2
export function setRelaunchHandler(handler: () => void) {
relaunchHandler = handler
@@ -54,7 +41,6 @@ export function setRelaunchHandler(handler: () => void) {
export function setBackgroundColor(color: string) {
backgroundColor = color
BrowserWindow.getAllWindows().forEach((win) => win.setBackgroundColor(color))
}
export function getBackgroundColor(): string | undefined {
@@ -74,10 +60,6 @@ function tone() {
return nativeTheme.shouldUseDarkColors ? "dark" : "light"
}
function defaultBackgroundColor() {
return oc2Background[tone()]
}
function overlay(theme: Partial<TitlebarTheme> = {}, zoom = 1) {
const mode = theme.mode ?? tone()
return {
@@ -97,20 +79,6 @@ export function updateTitlebar(win: BrowserWindow) {
win.setTitleBarOverlay(overlay(titlebarThemes.get(win), win.webContents.getZoomFactor()))
}
export function setPinchZoomEnabled(enabled: boolean) {
getStore().set(PINCH_ZOOM_ENABLED_KEY, enabled)
for (const win of BrowserWindow.getAllWindows()) {
pinchZoomEnabled.set(win, enabled)
win.webContents.send("pinch-zoom-enabled-changed", enabled)
if (!enabled && win.webContents.getZoomFactor() !== 1) win.webContents.setZoomFactor(1)
updateZoom(win)
}
}
export function getPinchZoomEnabled() {
return getStore().get(PINCH_ZOOM_ENABLED_KEY) === true
}
export function setDockIcon() {
if (process.platform !== "darwin") return
const icon = nativeImage.createFromPath(join(iconsDir(), "dock.png"))
@@ -133,7 +101,7 @@ export function createMainWindow() {
autoHideMenuBar: true,
title: "OpenCode",
icon: iconPath(),
backgroundColor: backgroundColor ?? defaultBackgroundColor(),
backgroundColor,
...(process.platform === "darwin"
? {
titleBarStyle: "hidden" as const,
@@ -191,7 +159,7 @@ export function createLoadingWindow() {
show: true,
autoHideMenuBar: true,
icon: iconPath(),
backgroundColor: backgroundColor ?? defaultBackgroundColor(),
backgroundColor,
...(process.platform === "darwin" ? { titleBarStyle: "hidden" as const } : {}),
...(process.platform === "win32"
? {
@@ -424,29 +392,13 @@ function isRendererUrl(value?: string, html = false) {
}
function wireZoom(win: BrowserWindow) {
pinchZoomEnabled.set(win, getPinchZoomEnabled())
win.webContents.setZoomFactor(1)
win.webContents.on("zoom-changed", (event, zoomDirection) => {
event.preventDefault()
if (pinchZoomEnabled.get(win)) {
win.webContents.setZoomFactor(clampZoom(win.webContents.getZoomFactor() + (zoomDirection === "in" ? 0.2 : -0.2)))
updateZoom(win)
return
}
if (win.webContents.getZoomFactor() !== 1) win.webContents.setZoomFactor(1)
updateZoom(win)
win.webContents.on("zoom-changed", () => {
win.webContents.setZoomFactor(1)
updateTitlebar(win)
})
}
function clampZoom(value: number) {
return Math.min(Math.max(value, minZoomLevel), maxZoomLevel)
}
function updateZoom(win: BrowserWindow) {
updateTitlebar(win)
win.webContents.send("zoom-factor-changed", win.webContents.getZoomFactor())
}
function upsertKeyValue(obj: Record<string, any>, keyToChange: string, value: any) {
const keyToChangeLower = keyToChange.toLowerCase()
for (const key of Object.keys(obj)) {
-12
View File
@@ -60,18 +60,6 @@ const api: ElectronAPI = {
relaunch: () => ipcRenderer.send("relaunch"),
getZoomFactor: () => ipcRenderer.invoke("get-zoom-factor"),
setZoomFactor: (factor) => ipcRenderer.invoke("set-zoom-factor", factor),
getPinchZoomEnabled: () => ipcRenderer.invoke("get-pinch-zoom-enabled"),
setPinchZoomEnabled: (enabled) => ipcRenderer.invoke("set-pinch-zoom-enabled", enabled),
onPinchZoomEnabledChanged: (cb) => {
const handler = (_: unknown, enabled: boolean) => cb(enabled)
ipcRenderer.on("pinch-zoom-enabled-changed", handler)
return () => ipcRenderer.removeListener("pinch-zoom-enabled-changed", handler)
},
onZoomFactorChanged: (cb) => {
const handler = (_: unknown, factor: number) => cb(factor)
ipcRenderer.on("zoom-factor-changed", handler)
return () => ipcRenderer.removeListener("zoom-factor-changed", handler)
},
setTitlebar: (theme) => ipcRenderer.invoke("set-titlebar", theme),
runDesktopMenuAction: (action) => ipcRenderer.invoke("run-desktop-menu-action", action),
loadingWindowComplete: () => ipcRenderer.send("loading-window-complete"),
-4
View File
@@ -79,10 +79,6 @@ export type ElectronAPI = {
relaunch: () => void
getZoomFactor: () => Promise<number>
setZoomFactor: (factor: number) => Promise<void>
getPinchZoomEnabled: () => Promise<boolean>
setPinchZoomEnabled: (enabled: boolean) => Promise<void>
onPinchZoomEnabledChanged: (cb: (enabled: boolean) => void) => () => void
onZoomFactorChanged: (cb: (factor: number) => void) => () => void
setTitlebar: (theme: TitlebarTheme) => Promise<void>
runDesktopMenuAction: (action: DesktopMenuAction) => Promise<void>
loadingWindowComplete: () => void
+1 -5
View File
@@ -21,7 +21,7 @@ import { createEffect, createResource, onCleanup, onMount, Show } from "solid-js
import { render } from "solid-js/web"
import pkg from "../../package.json"
import { initI18n, t } from "./i18n"
import { resetZoom, setPinchZoomEnabled, webviewZoom, zoomIn, zoomOut } from "./webview-zoom"
import { resetZoom, webviewZoom, zoomIn, zoomOut } from "./webview-zoom"
import "./styles.css"
import { useTheme } from "@opencode-ai/ui/theme"
@@ -274,10 +274,6 @@ const createPlatform = (): Platform => {
webviewZoom,
getPinchZoomEnabled: () => window.api.getPinchZoomEnabled(),
setPinchZoomEnabled,
runDesktopMenuAction,
checkAppExists: async (appName: string) => {
+1 -80
View File
@@ -13,21 +13,9 @@ const OS_NAME = (() => {
const [webviewZoom, setWebviewZoom] = createSignal(1)
let requestedZoom = 1
let pinchZoomEnabled = false
let wheelPinch = undefined as
| {
active: boolean
startZoom: number
totalDelta: number
timeout: ReturnType<typeof setTimeout> | undefined
}
| undefined
const MAX_ZOOM_LEVEL = 10
const MIN_ZOOM_LEVEL = 0.2
const WHEEL_PINCH_THRESHOLD = 20
const WHEEL_PINCH_STEP = 0.2
const WHEEL_PINCH_END_DELAY = 160
const clamp = (value: number) => Math.min(Math.max(value, MIN_ZOOM_LEVEL), MAX_ZOOM_LEVEL)
@@ -45,77 +33,10 @@ const applyZoom = (next: number) => {
})
}
window.api.onZoomFactorChanged((factor) => {
requestedZoom = clamp(factor)
setWebviewZoom(requestedZoom)
})
void window.api.getPinchZoomEnabled().then((enabled) => {
pinchZoomEnabled = enabled
})
window.api.onPinchZoomEnabledChanged((enabled) => {
pinchZoomEnabled = enabled
resetWheelPinch()
})
const setPinchZoomEnabled = (enabled: boolean) => {
pinchZoomEnabled = enabled
resetWheelPinch()
return window.api.setPinchZoomEnabled(enabled)
}
const resetZoom = () => applyZoom(1)
const zoomIn = () => applyZoom(clamp(requestedZoom + 0.2))
const zoomOut = () => applyZoom(clamp(requestedZoom - 0.2))
const resetWheelPinch = () => {
clearTimeout(wheelPinch?.timeout)
wheelPinch = undefined
}
const normalizeWheelDelta = (event: WheelEvent) => {
if (event.deltaMode === WheelEvent.DOM_DELTA_LINE) return event.deltaY * 16
if (event.deltaMode === WheelEvent.DOM_DELTA_PAGE) return event.deltaY * window.innerHeight
return event.deltaY
}
const updateWheelPinch = (event: WheelEvent) => {
wheelPinch ??= {
active: false,
startZoom: requestedZoom,
totalDelta: 0,
timeout: undefined,
}
clearTimeout(wheelPinch.timeout)
wheelPinch.timeout = setTimeout(resetWheelPinch, WHEEL_PINCH_END_DELAY)
wheelPinch.totalDelta += normalizeWheelDelta(event)
if (!wheelPinch.active && Math.abs(wheelPinch.totalDelta) < WHEEL_PINCH_THRESHOLD) return
if (!wheelPinch.active) {
wheelPinch.active = true
wheelPinch.startZoom = requestedZoom
wheelPinch.totalDelta = 0
return
}
wheelPinch.active = true
applyZoom(clamp(wheelPinch.startZoom - (wheelPinch.totalDelta / WHEEL_PINCH_THRESHOLD) * WHEEL_PINCH_STEP))
}
window.addEventListener(
"wheel",
(event) => {
if (!pinchZoomEnabled) return
if (!event.ctrlKey) return
event.preventDefault()
updateWheelPinch(event)
},
{ passive: false },
)
window.addEventListener("keydown", (event) => {
if (!(OS_NAME === "macos" ? event.metaKey : event.ctrlKey)) return
@@ -135,4 +56,4 @@ window.addEventListener("keydown", (event) => {
}
})
export { webviewZoom, resetZoom, setPinchZoomEnabled, zoomIn, zoomOut }
export { webviewZoom, resetZoom, zoomIn, zoomOut }
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.15.10",
"version": "1.15.5",
"name": "@opencode-ai/effect-drizzle-sqlite",
"type": "module",
"license": "MIT",
-10
View File
@@ -1,10 +0,0 @@
/* This file is auto-generated by SST. Do not edit. */
/* tslint:disable */
/* eslint-disable */
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../sst-env.d.ts" />
import "sst"
export {}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/enterprise",
"version": "1.15.10",
"version": "1.15.6",
"private": true,
"type": "module",
"license": "MIT",
+298 -1
View File
@@ -4,7 +4,304 @@
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../sst-env.d.ts" />
import "sst"
declare module "sst" {
export interface Resource {
"ADMIN_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"AUTH_API_URL": {
"type": "sst.sst.Linkable"
"value": string
}
"AWS_SES_ACCESS_KEY_ID": {
"type": "sst.sst.Secret"
"value": string
}
"AWS_SES_SECRET_ACCESS_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_API_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_DEFAULT_ACCOUNT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Console": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"DISCORD_INCIDENT_WEBHOOK_URL": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_BOT_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_CHANNEL_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Database": {
"database": string
"host": string
"password": string
"port": number
"type": "sst.sst.Linkable"
"username": string
}
"EMAILOCTOPUS_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_PRIVATE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_ID_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_SECRET_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GOOGLE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"HONEYCOMB_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"HoneycombWebhookSecret": {
"type": "random.index/randomPassword.RandomPassword"
"value": string
}
"R2AccessKey": {
"type": "sst.sst.Secret"
"value": string
}
"R2SecretKey": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_INSTANCE_URL": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_PUBLISHABLE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_SECRET_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_WEBHOOK_SECRET": {
"type": "sst.sst.Linkable"
"value": string
}
"Teams": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"Web": {
"type": "sst.cloudflare.Astro"
"url": string
}
"WebApp": {
"type": "sst.cloudflare.StaticSite"
"url": string
}
"ZEN_BLACK_PRICE": {
"plan100": string
"plan20": string
"plan200": string
"product": string
"type": "sst.sst.Linkable"
}
"ZEN_LIMITS": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_LITE_PRICE": {
"firstMonth100Coupon": string
"firstMonth50Coupon": string
"price": string
"priceInr": number
"product": string
"sixMonths100Coupon": string
"threeMonths100Coupon": string
"twelveMonths100Coupon": string
"type": "sst.sst.Linkable"
}
"ZEN_MODELS1": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS10": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS11": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS12": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS13": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS14": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS15": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS16": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS17": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS18": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS19": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS2": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS20": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS21": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS22": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS23": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS24": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS25": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS26": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS27": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS28": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS29": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS3": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS30": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS4": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS5": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS6": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS7": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS8": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS9": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_SESSION_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
}
}
// cloudflare
import * as cloudflare from "@cloudflare/workers-types";
declare module "sst" {
export interface Resource {
"Api": cloudflare.Service
"AuthApi": cloudflare.Service
"AuthStorage": cloudflare.KVNamespace
"Bucket": cloudflare.R2Bucket
"EnterpriseStorage": cloudflare.R2Bucket
"LogProcessor": cloudflare.Service
"Stat": cloudflare.Service
"ZenData": cloudflare.R2Bucket
"ZenDataNew": cloudflare.R2Bucket
}
}
import "sst"
export {}
+6 -6
View File
@@ -1,7 +1,7 @@
id = "opencode"
name = "OpenCode"
description = "The open source coding agent."
version = "1.15.10"
version = "1.15.6"
schema_version = 1
authors = ["Anomaly"]
repository = "https://github.com/anomalyco/opencode"
@@ -11,26 +11,26 @@ name = "OpenCode"
icon = "./icons/opencode.svg"
[agent_servers.opencode.targets.darwin-aarch64]
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.10/opencode-darwin-arm64.zip"
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.6/opencode-darwin-arm64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.darwin-x86_64]
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.10/opencode-darwin-x64.zip"
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.6/opencode-darwin-x64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.linux-aarch64]
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.10/opencode-linux-arm64.tar.gz"
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.6/opencode-linux-arm64.tar.gz"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.linux-x86_64]
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.10/opencode-linux-x64.tar.gz"
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.6/opencode-linux-x64.tar.gz"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.windows-x86_64]
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.10/opencode-windows-x64.zip"
archive = "https://github.com/anomalyco/opencode/releases/download/v1.15.6/opencode-windows-x64.zip"
cmd = "./opencode.exe"
args = ["acp"]
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/function",
"version": "1.15.10",
"version": "1.15.6",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+298 -1
View File
@@ -4,7 +4,304 @@
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../sst-env.d.ts" />
import "sst"
declare module "sst" {
export interface Resource {
"ADMIN_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"AUTH_API_URL": {
"type": "sst.sst.Linkable"
"value": string
}
"AWS_SES_ACCESS_KEY_ID": {
"type": "sst.sst.Secret"
"value": string
}
"AWS_SES_SECRET_ACCESS_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_API_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"CLOUDFLARE_DEFAULT_ACCOUNT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Console": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"DISCORD_INCIDENT_WEBHOOK_URL": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_BOT_TOKEN": {
"type": "sst.sst.Secret"
"value": string
}
"DISCORD_SUPPORT_CHANNEL_ID": {
"type": "sst.sst.Secret"
"value": string
}
"Database": {
"database": string
"host": string
"password": string
"port": number
"type": "sst.sst.Linkable"
"username": string
}
"EMAILOCTOPUS_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"FEISHU_APP_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_ID": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_APP_PRIVATE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_ID_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GITHUB_CLIENT_SECRET_CONSOLE": {
"type": "sst.sst.Secret"
"value": string
}
"GOOGLE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"HONEYCOMB_API_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"HoneycombWebhookSecret": {
"type": "random.index/randomPassword.RandomPassword"
"value": string
}
"R2AccessKey": {
"type": "sst.sst.Secret"
"value": string
}
"R2SecretKey": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_ID": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_CLIENT_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
"SALESFORCE_INSTANCE_URL": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_PUBLISHABLE_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_SECRET_KEY": {
"type": "sst.sst.Secret"
"value": string
}
"STRIPE_WEBHOOK_SECRET": {
"type": "sst.sst.Linkable"
"value": string
}
"Teams": {
"type": "sst.cloudflare.SolidStart"
"url": string
}
"Web": {
"type": "sst.cloudflare.Astro"
"url": string
}
"WebApp": {
"type": "sst.cloudflare.StaticSite"
"url": string
}
"ZEN_BLACK_PRICE": {
"plan100": string
"plan20": string
"plan200": string
"product": string
"type": "sst.sst.Linkable"
}
"ZEN_LIMITS": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_LITE_PRICE": {
"firstMonth100Coupon": string
"firstMonth50Coupon": string
"price": string
"priceInr": number
"product": string
"sixMonths100Coupon": string
"threeMonths100Coupon": string
"twelveMonths100Coupon": string
"type": "sst.sst.Linkable"
}
"ZEN_MODELS1": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS10": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS11": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS12": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS13": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS14": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS15": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS16": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS17": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS18": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS19": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS2": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS20": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS21": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS22": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS23": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS24": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS25": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS26": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS27": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS28": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS29": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS3": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS30": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS4": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS5": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS6": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS7": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS8": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_MODELS9": {
"type": "sst.sst.Secret"
"value": string
}
"ZEN_SESSION_SECRET": {
"type": "sst.sst.Secret"
"value": string
}
}
}
// cloudflare
import * as cloudflare from "@cloudflare/workers-types";
declare module "sst" {
export interface Resource {
"Api": cloudflare.Service
"AuthApi": cloudflare.Service
"AuthStorage": cloudflare.KVNamespace
"Bucket": cloudflare.R2Bucket
"EnterpriseStorage": cloudflare.R2Bucket
"LogProcessor": cloudflare.Service
"Stat": cloudflare.Service
"ZenData": cloudflare.R2Bucket
"ZenDataNew": cloudflare.R2Bucket
}
}
import "sst"
export {}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.15.10",
"version": "1.15.6",
"name": "@opencode-ai/http-recorder",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.15.10",
"version": "1.15.6",
"name": "@opencode-ai/llm",
"type": "module",
"license": "MIT",
+1
View File
@@ -14,6 +14,7 @@ import {
ToolChoice,
ToolDefinition,
type ContentPart,
ToolCallPart,
ToolResultPart,
} from "./schema"
import { make as makeTool, type ToolSchema } from "./tool"
+30 -147
View File
@@ -10,17 +10,14 @@ import {
type CacheHint,
type FinishReason,
type LLMRequest,
type MediaPart,
type ProviderMetadata,
type ToolCallPart,
type ToolDefinition,
type ToolResultContentPart,
type ToolResultPart,
} from "../schema"
import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared"
import * as Cache from "./utils/cache"
import { Lifecycle } from "./utils/lifecycle"
import { ProviderOptions } from "./utils/provider-options"
import { ToolStream } from "./utils/tool-stream"
const ADAPTER = "anthropic-messages"
@@ -42,17 +39,6 @@ const AnthropicTextBlock = Schema.Struct({
})
type AnthropicTextBlock = Schema.Schema.Type<typeof AnthropicTextBlock>
const AnthropicImageBlock = Schema.Struct({
type: Schema.tag("image"),
source: Schema.Struct({
type: Schema.tag("base64"),
media_type: Schema.String,
data: Schema.String,
}),
cache_control: Schema.optional(AnthropicCacheControl),
})
type AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>
const AnthropicThinkingBlock = Schema.Struct({
type: Schema.tag("thinking"),
thinking: Schema.String,
@@ -98,24 +84,15 @@ const AnthropicServerToolResultBlock = Schema.Struct({
})
type AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>
// Anthropic accepts either a plain string or an ordered array of text/image
// blocks inside `tool_result.content`. The array form is required when a tool
// returns image bytes (screenshot, image search, etc.) so they can be passed
// to the model as proper image inputs instead of being JSON-stringified into
// the prompt — which silently inflates context by megabytes and can push the
// conversation over the model's token limit.
const AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock])
const AnthropicToolResultBlock = Schema.Struct({
type: Schema.tag("tool_result"),
tool_use_id: Schema.String,
content: Schema.Union([Schema.String, Schema.Array(AnthropicToolResultContent)]),
content: Schema.String,
is_error: Schema.optional(Schema.Boolean),
cache_control: Schema.optional(AnthropicCacheControl),
})
const AnthropicUserBlock = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicToolResultBlock])
type AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>
const AnthropicUserBlock = Schema.Union([AnthropicTextBlock, AnthropicToolResultBlock])
const AnthropicAssistantBlock = Schema.Union([
AnthropicTextBlock,
AnthropicThinkingBlock,
@@ -137,7 +114,6 @@ const AnthropicTool = Schema.Struct({
description: Schema.String,
input_schema: JsonObject,
cache_control: Schema.optional(AnthropicCacheControl),
eager_input_streaming: Schema.optional(Schema.Boolean),
})
type AnthropicTool = Schema.Schema.Type<typeof AnthropicTool>
@@ -146,10 +122,10 @@ const AnthropicToolChoice = Schema.Union([
Schema.Struct({ type: Schema.tag("tool"), name: Schema.String }),
])
// Anthropic accepts several `thinking` shapes (enabled with `budget_tokens`,
// adaptive with optional `display`, and disabled). The body schema permits the
// full union so explicit lowering can pick the correct fields per model.
const AnthropicThinkingBody = Schema.Record(Schema.String, Schema.Unknown)
const AnthropicThinking = Schema.Struct({
type: Schema.tag("enabled"),
budget_tokens: Schema.Number,
})
const AnthropicBodyFields = {
model: Schema.String,
@@ -163,12 +139,9 @@ const AnthropicBodyFields = {
top_p: Schema.optional(Schema.Number),
top_k: Schema.optional(Schema.Number),
stop_sequences: optionalArray(Schema.String),
thinking: Schema.optional(AnthropicThinkingBody),
thinking: Schema.optional(AnthropicThinking),
}
// Unknown provider options pass through verbatim with top-level keys snake-cased.
const AnthropicMessagesBody = Schema.StructWithRest(Schema.Struct(AnthropicBodyFields), [
Schema.Record(Schema.String, Schema.Any),
])
const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)
export type AnthropicMessagesBody = Schema.Schema.Type<typeof AnthropicMessagesBody>
const AnthropicUsage = Schema.Struct({
@@ -211,13 +184,7 @@ const AnthropicEvent = Schema.Struct({
content_block: Schema.optional(AnthropicStreamBlock),
delta: Schema.optional(AnthropicStreamDelta),
usage: Schema.optional(AnthropicUsage),
// `type` and `message` are both required per Anthropic's spec, but
// OpenAI-compatible proxies and gateway translations occasionally drop one
// or the other; mark them optional so a partial payload still parses and
// the parser can fall back to whichever field is populated.
error: Schema.optional(
Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),
),
error: Schema.optional(Schema.Struct({ type: Schema.String, message: Schema.String })),
})
type AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>
@@ -259,16 +226,11 @@ const signatureFromMetadata = (metadata: ProviderMetadata | undefined): string |
return typeof anthropic.signature === "string" ? anthropic.signature : undefined
}
const lowerTool = (
breakpoints: Cache.Breakpoints,
tool: ToolDefinition,
eagerInputStreaming: boolean | undefined,
): AnthropicTool => ({
const lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition): AnthropicTool => ({
name: tool.name,
description: tool.description,
input_schema: tool.inputSchema,
cache_control: cacheControl(breakpoints, tool.cache),
eager_input_streaming: eagerInputStreaming ? true : undefined,
})
const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
@@ -310,46 +272,6 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock
})
const lowerImage = Effect.fn("AnthropicMessages.lowerImage")(function* (part: MediaPart) {
if (!part.mediaType.startsWith("image/"))
return yield* invalid(`Anthropic Messages user media content only supports images`)
return {
type: "image" as const,
source: {
type: "base64" as const,
media_type: part.mediaType,
data: ProviderShared.mediaBase64(part),
},
} satisfies AnthropicImageBlock
})
// Tool results may carry structured text/images. Keep media as provider-native
// content instead of JSON-stringifying base64 into a prompt string.
const lowerToolResultContentItem = Effect.fn("AnthropicMessages.lowerToolResultContentItem")(function* (
item: ToolResultContentPart,
) {
if (item.type === "text") return { type: "text" as const, text: item.text } satisfies AnthropicTextBlock
if (item.mediaType.startsWith("image/"))
return {
type: "image" as const,
source: {
type: "base64" as const,
media_type: item.mediaType,
data: ProviderShared.mediaBase64(item),
},
} satisfies AnthropicImageBlock
return yield* invalid(`Anthropic Messages tool-result media content only supports images, got ${item.mediaType}`)
})
const lowerToolResultContent = Effect.fn("AnthropicMessages.lowerToolResultContent")(function* (part: ToolResultPart) {
// Text / json / error results stay as a string for backward compatibility
// with existing cassettes and provider expectations.
if (part.result.type !== "content") return ProviderShared.toolResultText(part)
// Preserve the narrowed array element type when compiled through a consumer package.
const content: ReadonlyArray<ToolResultContentPart> = part.result.value
return yield* Effect.forEach(content, lowerToolResultContentItem)
})
const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
request: LLMRequest,
breakpoints: Cache.Breakpoints,
@@ -358,17 +280,11 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
for (const message of request.messages) {
if (message.role === "user") {
const content: AnthropicUserBlock[] = []
const content: AnthropicTextBlock[] = []
for (const part of message.content) {
if (part.type === "text") {
content.push({ type: "text", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })
continue
}
if (part.type === "media") {
content.push(yield* lowerImage(part))
continue
}
return yield* ProviderShared.unsupportedContent("Anthropic Messages", "user", ["text", "media"])
if (!ProviderShared.supportsContent(part, ["text"]))
return yield* ProviderShared.unsupportedContent("Anthropic Messages", "user", ["text"])
content.push({ type: "text", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })
}
messages.push({ role: "user", content })
continue
@@ -412,7 +328,7 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
content.push({
type: "tool_result",
tool_use_id: part.id,
content: yield* lowerToolResultContent(part),
content: ProviderShared.toolResultText(part),
is_error: part.result.type === "error" ? true : undefined,
cache_control: cacheControl(breakpoints, part.cache),
})
@@ -423,46 +339,24 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
return messages
})
// Typed AI SDK Anthropic options. Mirrors the subset of
// `anthropicLanguageModelOptions` that opencode's provider transform actually
// emits today (see `packages/opencode/src/provider/transform.ts`). Unknown
// keys flow through the index signature and pass through to the wire body
// with their top-level key snake-cased.
type AnthropicEffort = "low" | "medium" | "high" | "xhigh" | "max"
type AnthropicThinking =
| { readonly type: "enabled"; readonly budgetTokens?: number; readonly budget_tokens?: number }
| { readonly type: "adaptive"; readonly display?: "omitted" | "summarized" }
| { readonly type: "disabled" }
const anthropicOptions = (request: LLMRequest) => request.providerOptions?.anthropic
interface AnthropicOptions {
readonly thinking?: AnthropicThinking
readonly effort?: AnthropicEffort
readonly toolStreaming?: boolean
readonly [extra: string]: unknown
}
const ANTHROPIC_KNOWN_KEYS: ReadonlySet<string> = new Set(["thinking", "effort", "toolStreaming"])
const lowerThinking = (thinking: AnthropicOptions["thinking"]) => {
if (thinking === undefined) return undefined
if (thinking.type === "disabled") return undefined
if (thinking.type === "adaptive") {
return { type: "adaptive" as const, ...(thinking.display ? { display: thinking.display } : {}) }
}
const budget = thinking.budgetTokens ?? thinking.budget_tokens
if (budget === undefined) return undefined
const lowerThinking = Effect.fn("AnthropicMessages.lowerThinking")(function* (request: LLMRequest) {
const thinking = anthropicOptions(request)?.thinking
if (!ProviderShared.isRecord(thinking) || thinking.type !== "enabled") return undefined
const budget =
typeof thinking.budgetTokens === "number"
? thinking.budgetTokens
: typeof thinking.budget_tokens === "number"
? thinking.budget_tokens
: undefined
if (budget === undefined) return yield* invalid("Anthropic thinking provider option requires budgetTokens")
return { type: "enabled" as const, budget_tokens: budget }
}
})
const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (request: LLMRequest) {
const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined
const generation = request.generation
const options = ProviderOptions.merge(request, ["anthropic"]) as AnthropicOptions
// AI SDK's `toolStreaming` controls per-tool `eager_input_streaming`. opencode
// sets `toolStreaming: false` for non-Claude models routed through
// `@ai-sdk/anthropic`; otherwise the field is left unset so the provider
// applies its own default.
const eagerInputStreaming = options.toolStreaming === true
// Allocate the 4-breakpoint budget in invalidation order: tools → system →
// messages. Tools live highest in the cache hierarchy, so when callers
// over-mark we keep their tool hints and shed the message-tail ones first.
@@ -470,7 +364,7 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
const tools =
request.tools.length === 0 || request.toolChoice?.type === "none"
? undefined
: request.tools.map((tool) => lowerTool(breakpoints, tool, eagerInputStreaming))
: request.tools.map((tool) => lowerTool(breakpoints, tool))
const system =
request.system.length === 0
? undefined
@@ -486,7 +380,6 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
)
}
return {
...ProviderOptions.passthrough(options, ANTHROPIC_KNOWN_KEYS),
model: request.model.id,
system,
messages,
@@ -498,8 +391,7 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
top_p: generation?.topP,
top_k: generation?.topK,
stop_sequences: generation?.stop,
thinking: lowerThinking(options.thinking),
...(options.effort !== undefined ? { effort: options.effort } : {}),
thinking: yield* lowerThinking(request),
}
})
@@ -743,18 +635,9 @@ const onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult =
return [{ ...state, lifecycle, usage }, events]
}
// Prefix `error.type` so overloads, rate limits, and quota errors are visible
// even when the provider message is generic or empty.
const providerErrorMessage = (event: AnthropicEvent): string => {
const type = event.error?.type
const message = event.error?.message
if (type && message) return `${type}: ${message}`
return message || type || "Anthropic Messages stream error"
}
const onError = (state: ParserState, event: AnthropicEvent): StepResult => [
state,
[LLMEvent.providerError({ message: providerErrorMessage(event) })],
[LLMEvent.providerError({ message: event.error?.message ?? "Anthropic Messages stream error" })],
]
const step = (state: ParserState, event: AnthropicEvent) => {
+10 -42
View File
@@ -15,7 +15,6 @@ import {
} from "../schema"
import { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared"
import { OpenAIOptions } from "./utils/openai-options"
import { ProviderOptions } from "./utils/provider-options"
import { Lifecycle } from "./utils/lifecycle"
import { ToolStream } from "./utils/tool-stream"
@@ -51,10 +50,6 @@ const OpenAIChatAssistantToolCall = Schema.Struct({
})
type OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>
// `reasoning_content` is a plain string per DeepSeek/OpenAI-compatible spec.
// `reasoning_details` is an OpenRouter-style array of typed reasoning objects
// (summary / encrypted / text). We accept the structured payload as-is so it
// round-trips verbatim to the provider on continuation requests.
const OpenAIChatMessage = Schema.Union([
Schema.Struct({ role: Schema.Literal("system"), content: Schema.String }),
Schema.Struct({ role: Schema.Literal("user"), content: Schema.String }),
@@ -63,7 +58,6 @@ const OpenAIChatMessage = Schema.Union([
content: Schema.NullOr(Schema.String),
tool_calls: optionalArray(OpenAIChatAssistantToolCall),
reasoning_content: Schema.optional(Schema.String),
reasoning_details: Schema.optional(Schema.Array(Schema.Record(Schema.String, Schema.Unknown))),
}),
Schema.Struct({ role: Schema.Literal("tool"), tool_call_id: Schema.String, content: Schema.String }),
]).pipe(Schema.toTaggedUnion("role"))
@@ -85,7 +79,7 @@ export const bodyFields = {
stream: Schema.Literal(true),
stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),
store: Schema.optional(Schema.Boolean),
reasoning_effort: Schema.optional(Schema.String),
reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),
max_tokens: Schema.optional(Schema.Number),
temperature: Schema.optional(Schema.Number),
top_p: Schema.optional(Schema.Number),
@@ -94,7 +88,7 @@ export const bodyFields = {
seed: Schema.optional(Schema.Number),
stop: optionalArray(Schema.String),
}
const OpenAIChatBody = Schema.StructWithRest(Schema.Struct(bodyFields), [Schema.Record(Schema.String, Schema.Any)])
const OpenAIChatBody = Schema.Struct(bodyFields)
export type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>
// =============================================================================
@@ -131,16 +125,9 @@ const OpenAIChatToolCallDelta = Schema.Struct({
})
type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>
// Streaming reasoning fields. `reasoning_content` (DeepSeek) and `reasoning`
// (AI SDK fallback) are strings; `reasoning_details` (OpenRouter) is an array
// of typed reasoning detail objects. We surface their plaintext via reasoning
// deltas and preserve the structured array for downstream round-trip.
const OpenAIChatReasoningDetail = Schema.Record(Schema.String, Schema.Unknown)
const OpenAIChatDelta = Schema.Struct({
content: optionalNull(Schema.String),
reasoning_content: optionalNull(Schema.String),
reasoning: optionalNull(Schema.String),
reasoning_details: optionalNull(Schema.Array(OpenAIChatReasoningDetail)),
tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),
})
@@ -201,16 +188,6 @@ const lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({
const openAICompatibleReasoningContent = (native: unknown) =>
isRecord(native) && typeof native.reasoning_content === "string" ? native.reasoning_content : undefined
// `reasoning_details` rounds-trips the OpenRouter structured array. Accept the
// array shape as canonical; tolerate a string for legacy callers that already
// flattened it.
const openAICompatibleReasoningDetails = (native: unknown) => {
if (!isRecord(native)) return undefined
const value = native.reasoning_details
if (Array.isArray(value)) return value as ReadonlyArray<Record<string, unknown>>
return undefined
}
const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (message: OpenAIChatRequestMessage) {
const content: TextPart[] = []
for (const part of message.content) {
@@ -243,7 +220,6 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
content: content.length === 0 ? null : ProviderShared.joinText(content),
tool_calls: toolCalls.length === 0 ? undefined : toolCalls,
reasoning_content: openAICompatibleReasoningContent(message.native?.openaiCompatible),
reasoning_details: openAICompatibleReasoningDetails(message.native?.openaiCompatible),
}
})
@@ -270,14 +246,13 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
})
const lowerOptions = Effect.fn("OpenAIChat.lowerOptions")(function* (request: LLMRequest) {
const options = OpenAIOptions.options(request)
const effort = options.reasoningEffort
if (effort !== undefined && !OpenAIOptions.isReasoningEffort(effort))
return yield* invalid(`OpenAI Chat does not support reasoning effort ${effort}`)
const store = OpenAIOptions.store(request)
const reasoningEffort = OpenAIOptions.reasoningEffort(request)
if (reasoningEffort && !OpenAIOptions.isReasoningEffort(reasoningEffort))
return yield* invalid(`OpenAI Chat does not support reasoning effort ${reasoningEffort}`)
return {
...ProviderOptions.passthrough(options, OpenAIOptions.KNOWN_KEYS),
...(options.store !== undefined ? { store: options.store } : {}),
...(effort !== undefined ? { reasoning_effort: effort } : {}),
...(store !== undefined ? { store } : {}),
...(reasoningEffort ? { reasoning_effort: reasoningEffort } : {}),
}
})
@@ -350,15 +325,8 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
let lifecycle = state.lifecycle
// OpenRouter-style `reasoning_details` ships an array of typed reasoning
// objects (summary / text / encrypted). Concatenate the plaintext fields
// into the reasoning delta stream; the structured array is preserved on
// the assistant message for round-trip via `providerMetadata`.
const detailText = (delta?.reasoning_details ?? [])
.map((detail) => (typeof detail.text === "string" ? detail.text : typeof detail.summary === "string" ? detail.summary : ""))
.join("")
const reasoning = delta?.reasoning_content ?? delta?.reasoning ?? (detailText.length > 0 ? detailText : undefined)
if (reasoning) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", reasoning)
if (delta?.reasoning_content)
lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", delta.reasoning_content)
if (delta?.content) lifecycle = Lifecycle.textDelta(lifecycle, events, "text-0", delta.content)
@@ -1,84 +1,22 @@
import { Effect, Schema } from "effect"
import { Route, type RouteRoutedModelInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { Protocol } from "../route/protocol"
import type { LLMRequest } from "../schema"
import { ProviderOptions } from "./utils/provider-options"
import * as OpenAIChat from "./openai-chat"
const ADAPTER = "openai-compatible-chat"
export type OpenAICompatibleChatModelInput = RouteRoutedModelInput
const OpenAICompatibleChatBody = Schema.StructWithRest(
Schema.Struct({ ...OpenAIChat.bodyFields, reasoning_effort: Schema.optional(Schema.String) }),
[Schema.Record(Schema.String, Schema.Any)],
)
export type OpenAICompatibleChatBody = Schema.Schema.Type<typeof OpenAICompatibleChatBody>
// Typed AI SDK `@ai-sdk/openai-compatible` options. Known keys are lowered
// explicitly; everything else passes through to the wire body with its
// top-level key snake-cased.
interface CompatibleOptions {
readonly user?: string
readonly reasoningEffort?: string
readonly textVerbosity?: string
readonly strictJsonSchema?: boolean
readonly [extra: string]: unknown
}
const COMPATIBLE_KNOWN_KEYS: ReadonlySet<string> = new Set([
"user",
"reasoningEffort",
"textVerbosity",
"strictJsonSchema",
])
// Match AI SDK `@ai-sdk/openai-compatible` option resolution: the deprecated
// `openai-compatible` alias, the canonical `openaiCompatible` key, the raw
// provider name (dot-split so e.g. `opencode.internal` matches `opencode`),
// and its camelCase variant. Later sources override earlier ones.
const bodyOptions = (request: LLMRequest) => {
const provider = String(request.model.provider).split(".")[0]
const camel = provider.replace(/[_-]([a-z])/g, (_, value: string) => value.toUpperCase())
const options = ProviderOptions.merge(request, [
"openai-compatible",
"openaiCompatible",
provider,
camel,
]) as CompatibleOptions
return {
...ProviderOptions.passthrough(options, COMPATIBLE_KNOWN_KEYS),
...(options.user !== undefined ? { user: options.user } : {}),
...(options.reasoningEffort !== undefined ? { reasoning_effort: options.reasoningEffort } : {}),
...(options.textVerbosity !== undefined ? { verbosity: options.textVerbosity } : {}),
}
}
export const protocol = Protocol.make({
id: ADAPTER,
body: {
schema: OpenAICompatibleChatBody,
// Drop providerOptions before delegating so OpenAI Chat's OpenAI-only
// option validation does not reject compatible-route requests whose
// provider id happens to be `openai` or use extended reasoning efforts.
from: (request) =>
OpenAIChat.protocol.body
.from({ ...request, providerOptions: undefined })
.pipe(Effect.map((body) => ({ ...body, ...bodyOptions(request) }))),
},
stream: OpenAIChat.protocol.stream,
})
/**
* Route for non-OpenAI providers that expose an OpenAI Chat-compatible
* `/chat/completions` endpoint. Reuses OpenAI Chat streaming behavior while
* allowing compatible providers to pass through additional request-body
* options such as `enable_thinking` and extended reasoning efforts.
* `/chat/completions` endpoint. Reuses `OpenAIChat.protocol` end-to-end and
* overrides only the route id so providers can be resolved per-family without
* colliding with native OpenAI. Provider helpers configure the route endpoint
* before model selection.
*/
export const route = Route.make({
id: ADAPTER,
protocol,
protocol: OpenAIChat.protocol,
endpoint: Endpoint.path("/chat/completions"),
framing: Framing.sse,
})
+48 -210
View File
@@ -6,20 +6,17 @@ import { HttpTransport, WebSocketTransport } from "../route/transport"
import { Protocol } from "../route/protocol"
import {
LLMEvent,
type MediaPart,
Usage,
type FinishReason,
type LLMRequest,
type ProviderMetadata,
type ReasoningPart,
type TextPart,
type ToolCallPart,
type ToolDefinition,
type ToolResultContentPart,
type ToolResultPart,
} from "../schema"
import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared"
import { OpenAIOptions } from "./utils/openai-options"
import { ProviderOptions } from "./utils/provider-options"
import { Lifecycle } from "./utils/lifecycle"
import { ToolStream } from "./utils/tool-stream"
@@ -46,33 +43,10 @@ const OpenAIResponsesOutputText = Schema.Struct({
text: Schema.String,
})
const OpenAIResponsesReasoningSummaryText = Schema.Struct({
type: Schema.tag("summary_text"),
text: Schema.String,
})
const OpenAIResponsesReasoningItem = Schema.Struct({
type: Schema.tag("reasoning"),
id: Schema.String,
summary: Schema.Array(OpenAIResponsesReasoningSummaryText),
encrypted_content: optionalNull(Schema.String),
})
// `function_call_output.output` accepts either a plain string or an ordered
// array of content items so tools can return images in addition to text.
// https://platform.openai.com/docs/api-reference/responses/object
const OpenAIResponsesFunctionCallOutputContent = Schema.Union([OpenAIResponsesInputText, OpenAIResponsesInputImage])
const OpenAIResponsesFunctionCallOutput = Schema.Union([
Schema.String,
Schema.Array(OpenAIResponsesFunctionCallOutputContent),
])
const OpenAIResponsesInputItem = Schema.Union([
Schema.Struct({ role: Schema.tag("system"), content: Schema.String }),
Schema.Struct({ role: Schema.tag("user"), content: Schema.Array(OpenAIResponsesInputContent) }),
Schema.Struct({ role: Schema.tag("assistant"), content: Schema.Array(OpenAIResponsesOutputText) }),
OpenAIResponsesReasoningItem,
Schema.Struct({
type: Schema.tag("function_call"),
call_id: Schema.String,
@@ -82,7 +56,7 @@ const OpenAIResponsesInputItem = Schema.Union([
Schema.Struct({
type: Schema.tag("function_call_output"),
call_id: Schema.String,
output: OpenAIResponsesFunctionCallOutput,
output: Schema.String,
}),
])
type OpenAIResponsesInputItem = Schema.Schema.Type<typeof OpenAIResponsesInputItem>
@@ -112,23 +86,12 @@ const OpenAIResponsesCoreFields = {
tools: optionalArray(OpenAIResponsesTool),
tool_choice: Schema.optional(OpenAIResponsesToolChoice),
store: Schema.optional(Schema.Boolean),
conversation: Schema.optional(Schema.String),
max_tool_calls: Schema.optional(Schema.Number),
metadata: Schema.optional(JsonObject),
parallel_tool_calls: Schema.optional(Schema.Boolean),
previous_response_id: Schema.optional(Schema.String),
prompt_cache_key: Schema.optional(Schema.String),
prompt_cache_retention: Schema.optional(Schema.String),
safety_identifier: Schema.optional(Schema.String),
service_tier: Schema.optional(Schema.String),
top_logprobs: Schema.optional(Schema.Number),
truncation: Schema.optional(Schema.String),
user: Schema.optional(Schema.String),
include: optionalArray(Schema.String),
include: optionalArray(Schema.Literal("reasoning.encrypted_content")),
reasoning: Schema.optional(
Schema.Struct({
effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),
summary: Schema.optional(Schema.String),
summary: Schema.optional(Schema.Literal("auto")),
}),
),
text: Schema.optional(
@@ -141,15 +104,10 @@ const OpenAIResponsesCoreFields = {
top_p: Schema.optional(Schema.Number),
}
// Unknown provider options are passed through verbatim with their top-level
// key snake-cased; the rest record validates them against any JSON value.
const OpenAIResponsesBody = Schema.StructWithRest(
Schema.Struct({
...OpenAIResponsesCoreFields,
stream: Schema.Literal(true),
}),
[Schema.Record(Schema.String, Schema.Any)],
)
const OpenAIResponsesBody = Schema.Struct({
...OpenAIResponsesCoreFields,
stream: Schema.Literal(true),
})
export type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>
const OpenAIResponsesWebSocketMessage = Schema.StructWithRest(
@@ -191,21 +149,9 @@ const OpenAIResponsesStreamItem = Schema.Struct({
server_label: Schema.optional(Schema.String),
output: Schema.optional(Schema.Unknown),
error: Schema.optional(Schema.Unknown),
encrypted_content: optionalNull(Schema.String),
})
type OpenAIResponsesStreamItem = Schema.Schema.Type<typeof OpenAIResponsesStreamItem>
// OpenAI Responses surfaces provider failures in two related shapes. The
// streaming `error` event carries the details at the top level
// (`{ type: "error", code, message, param, sequence_number }`), while
// `response.failed` carries them under `response.error`. We capture both so
// the parser can surface a useful provider-error message in either path.
const OpenAIResponsesErrorPayload = Schema.Struct({
code: optionalNull(Schema.String),
message: optionalNull(Schema.String),
param: optionalNull(Schema.String),
})
const OpenAIResponsesEvent = Schema.Struct({
type: Schema.String,
delta: Schema.optional(Schema.String),
@@ -218,14 +164,12 @@ const OpenAIResponsesEvent = Schema.Struct({
service_tier: optionalNull(Schema.String),
incomplete_details: optionalNull(Schema.Struct({ reason: Schema.String })),
usage: optionalNull(OpenAIResponsesUsage),
error: optionalNull(OpenAIResponsesErrorPayload),
}),
[Schema.Record(Schema.String, Schema.Unknown)],
),
),
code: Schema.optional(Schema.String),
message: Schema.optional(Schema.String),
param: Schema.optional(Schema.String),
})
type OpenAIResponsesEvent = Schema.Schema.Type<typeof OpenAIResponsesEvent>
@@ -262,63 +206,26 @@ const lowerToolCall = (part: ToolCallPart): OpenAIResponsesInputItem => ({
arguments: ProviderShared.encodeJson(part.input),
})
const lowerReasoning = (part: ReasoningPart, store: boolean | undefined): OpenAIResponsesInputItem | undefined => {
const openai = part.providerMetadata?.openai
if (!ProviderShared.isRecord(openai) || typeof openai.itemId !== "string") return undefined
// With store:false, OpenAI only accepts previous reasoning items when the
// encrypted state is present. Bare rs_* ids point to non-persisted items.
if (store === false && typeof openai.reasoningEncryptedContent !== "string") return undefined
return {
type: "reasoning",
id: openai.itemId,
summary: part.text.length > 0 ? [{ type: "summary_text", text: part.text }] : [],
encrypted_content:
typeof openai.reasoningEncryptedContent === "string"
? openai.reasoningEncryptedContent
: openai.reasoningEncryptedContent === null
? null
: undefined,
}
}
const imageUrl = (part: MediaPart) =>
typeof part.data === "string" && part.data.startsWith("data:")
? part.data
: `data:${part.mediaType};base64,${ProviderShared.mediaBytes(part)}`
const lowerUserContent = Effect.fn("OpenAIResponses.lowerUserContent")(function* (
part: LLMRequest["messages"][number]["content"][number],
) {
if (part.type === "text") return { type: "input_text" as const, text: part.text }
if (part.type === "media" && part.mediaType.startsWith("image/")) {
return { type: "input_image" as const, image_url: ProviderShared.mediaDataUrl(part) }
return { type: "input_image" as const, image_url: imageUrl(part) }
}
if (part.type === "media") return yield* invalid("OpenAI Responses user media content only supports images")
return yield* ProviderShared.unsupportedContent("OpenAI Responses", "user", ["text", "media"])
})
// Tool results may carry structured text/images. Keep media as provider-native
// content instead of JSON-stringifying base64 into a prompt string.
const lowerToolResultContentItem = Effect.fn("OpenAIResponses.lowerToolResultContentItem")(function* (
item: ToolResultContentPart,
) {
if (item.type === "text") return { type: "input_text" as const, text: item.text }
if (item.mediaType.startsWith("image/"))
return {
type: "input_image" as const,
image_url: ProviderShared.mediaDataUrl(item),
}
return yield* invalid(`OpenAI Responses tool-result media content only supports images, got ${item.mediaType}`)
})
const lowerToolResultOutput = Effect.fn("OpenAIResponses.lowerToolResultOutput")(function* (part: ToolResultPart) {
// Text/json/error results are encoded as a plain string for backward
// compatibility with existing cassettes and provider expectations.
if (part.result.type !== "content") return ProviderShared.toolResultText(part)
const items: ReadonlyArray<ToolResultContentPart> = part.result.value
return yield* Effect.forEach(items, lowerToolResultContentItem)
})
const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (request: LLMRequest) {
const system: OpenAIResponsesInputItem[] =
request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
const input: OpenAIResponsesInputItem[] = [...system]
const store = OpenAIOptions.options(request).store
for (const message of request.messages) {
if (message.role === "user") {
@@ -328,92 +235,52 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
if (message.role === "assistant") {
const content: TextPart[] = []
const flushText = () => {
if (content.length === 0) return
input.push({ role: "assistant", content: content.map((part) => ({ type: "output_text", text: part.text })) })
content.splice(0, content.length)
}
for (const part of message.content) {
if (!ProviderShared.supportsContent(part, ["text", "tool-call"]))
return yield* ProviderShared.unsupportedContent("OpenAI Responses", "assistant", ["text", "tool-call"])
if (part.type === "text") {
content.push(part)
continue
}
if (part.type === "reasoning") {
flushText()
const reasoning = lowerReasoning(part, store)
if (reasoning) input.push(reasoning)
continue
}
if (part.type === "tool-call") {
flushText()
input.push(lowerToolCall(part))
continue
}
return yield* ProviderShared.unsupportedContent("OpenAI Responses", "assistant", [
"text",
"reasoning",
"tool-call",
])
}
flushText()
if (content.length > 0)
input.push({ role: "assistant", content: content.map((part) => ({ type: "output_text", text: part.text })) })
continue
}
for (const part of message.content) {
if (!ProviderShared.supportsContent(part, ["tool-result"]))
return yield* ProviderShared.unsupportedContent("OpenAI Responses", "tool", ["tool-result"])
input.push({
type: "function_call_output",
call_id: part.id,
output: yield* lowerToolResultOutput(part),
})
input.push({ type: "function_call_output", call_id: part.id, output: ProviderShared.toolResultText(part) })
}
}
return input
})
const lowerOptions = (request: LLMRequest) => {
const options = OpenAIOptions.options(request)
// OpenAI Responses does not accept the `max` reasoning effort variant.
const effort = OpenAIOptions.isReasoningEffort(options.reasoningEffort) ? options.reasoningEffort : undefined
const summary = options.reasoningSummary
const verbosity = options.textVerbosity
// `logprobs` is enabled only by `true` or a numeric top-N. `false` and
// `undefined` leave the request without the logprobs include + top_logprobs.
const logprobsEnabled = options.logprobs === true || typeof options.logprobs === "number"
const include = (() => {
const base = options.include ? [...options.include] : []
if (options.includeEncryptedReasoning && !base.includes("reasoning.encrypted_content")) {
base.push("reasoning.encrypted_content")
}
if (logprobsEnabled && !base.includes("message.output_text.logprobs")) {
base.push("message.output_text.logprobs")
}
return base.length > 0 ? base : undefined
})()
const topLogprobs = typeof options.logprobs === "number" ? options.logprobs : options.logprobs === true ? 20 : undefined
const lowerOptions = Effect.fn("OpenAIResponses.lowerOptions")(function* (request: LLMRequest) {
const store = OpenAIOptions.store(request)
const promptCacheKey = OpenAIOptions.promptCacheKey(request)
const effort = OpenAIOptions.reasoningEffort(request)
if (effort && !OpenAIOptions.isReasoningEffort(effort))
return yield* invalid(`OpenAI Responses does not support reasoning effort ${effort}`)
const summary = OpenAIOptions.reasoningSummary(request)
const encryptedState = OpenAIOptions.encryptedReasoning(request)
const verbosity = OpenAIOptions.textVerbosity(request)
const instructions = OpenAIOptions.instructions(request)
return {
...ProviderOptions.passthrough(options, OpenAIOptions.KNOWN_KEYS),
...(options.instructions !== undefined ? { instructions: options.instructions } : {}),
...(options.store !== undefined ? { store: options.store } : {}),
...(options.conversation !== undefined ? { conversation: options.conversation } : {}),
...(options.maxToolCalls !== undefined ? { max_tool_calls: options.maxToolCalls } : {}),
...(options.metadata !== undefined ? { metadata: options.metadata } : {}),
...(options.parallelToolCalls !== undefined ? { parallel_tool_calls: options.parallelToolCalls } : {}),
...(options.previousResponseId !== undefined ? { previous_response_id: options.previousResponseId } : {}),
...(options.promptCacheKey !== undefined ? { prompt_cache_key: options.promptCacheKey } : {}),
...(options.promptCacheRetention !== undefined ? { prompt_cache_retention: options.promptCacheRetention } : {}),
...(options.safetyIdentifier !== undefined ? { safety_identifier: options.safetyIdentifier } : {}),
...(options.serviceTier !== undefined ? { service_tier: options.serviceTier } : {}),
...(topLogprobs !== undefined ? { top_logprobs: topLogprobs } : {}),
...(options.truncation !== undefined ? { truncation: options.truncation } : {}),
...(options.user !== undefined ? { user: options.user } : {}),
...(include ? { include } : {}),
...(effort !== undefined || summary !== undefined ? { reasoning: { effort, summary } } : {}),
...(verbosity !== undefined ? { text: { verbosity } } : {}),
...(instructions ? { instructions } : {}),
...(store !== undefined ? { store } : {}),
...(promptCacheKey ? { prompt_cache_key: promptCacheKey } : {}),
...(encryptedState ? { include: ["reasoning.encrypted_content"] as const } : {}),
...(effort || summary ? { reasoning: { effort, summary } } : {}),
...(verbosity ? { text: { verbosity } } : {}),
}
}
})
const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request: LLMRequest) {
const generation = request.generation
@@ -426,7 +293,7 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request:
max_output_tokens: generation?.maxTokens,
temperature: generation?.temperature,
top_p: generation?.topP,
...lowerOptions(request),
...(yield* lowerOptions(request)),
}
})
@@ -500,11 +367,6 @@ const isHostedToolItem = (
): item is OpenAIResponsesStreamItem & { type: HostedToolType; id: string } =>
item.type in HOSTED_TOOLS && typeof item.id === "string" && item.id.length > 0
const isReasoningItem = (
item: OpenAIResponsesStreamItem,
): item is OpenAIResponsesStreamItem & { type: "reasoning"; id: string } =>
item.type === "reasoning" && typeof item.id === "string" && item.id.length > 0
// Round-trip the full item as the structured result so consumers can extract
// outputs / sources / status without re-decoding.
const hostedToolResult = (item: OpenAIResponsesStreamItem) => {
@@ -566,12 +428,16 @@ const onReasoningDelta = (state: ParserState, event: OpenAIResponsesEvent): Step
]
}
// The summary done event does not carry encrypted continuation state. Finish the
// common reasoning block when the full reasoning item arrives in output_item.done.
const onReasoningDone = (state: ParserState, _event: OpenAIResponsesEvent): StepResult => [state, NO_EVENTS]
const reasoningMetadata = (item: OpenAIResponsesStreamItem & { id: string }) =>
openaiMetadata({ itemId: item.id, reasoningEncryptedContent: item.encrypted_content ?? null })
const onReasoningDone = (state: ParserState, event: OpenAIResponsesEvent): StepResult => {
const events: LLMEvent[] = []
return [
{
...state,
lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, event.item_id ?? "reasoning-0"),
},
events,
]
}
const onOutputItemAdded = (state: ParserState, event: OpenAIResponsesEvent): StepResult => {
const item = event.item
@@ -652,21 +518,6 @@ const onOutputItemDone = Effect.fn("OpenAIResponses.onOutputItemDone")(function*
return [{ ...state, lifecycle }, events] satisfies StepResult
}
if (isReasoningItem(item)) {
const events: LLMEvent[] = []
const providerMetadata = reasoningMetadata(item)
if (!state.lifecycle.reasoning.has(item.id)) {
const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
events.push(LLMEvent.reasoningStart({ id: item.id, providerMetadata }))
events.push(LLMEvent.reasoningEnd({ id: item.id, providerMetadata }))
return [{ ...state, lifecycle }, events] satisfies StepResult
}
return [
{ ...state, lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, item.id, providerMetadata) },
events,
] satisfies StepResult
}
return [state, NO_EVENTS] satisfies StepResult
})
@@ -686,27 +537,14 @@ const onResponseFinish = (state: ParserState, event: OpenAIResponsesEvent): Step
return [{ ...state, lifecycle }, events]
}
// Build a single human-readable message from whatever the provider supplied.
// When both code and message are present, prefix the code so consumers see
// the failure mode (e.g. `rate_limit_exceeded: Slow down`) instead of just
// the bare message — production rate limits and context-length failures used
// to be indistinguishable from generic stream drops.
const providerErrorMessage = (event: OpenAIResponsesEvent, fallback: string): string => {
const nested = event.response?.error ?? undefined
const message = event.message || nested?.message || undefined
const code = event.code || nested?.code || undefined
if (message && code) return `${code}: ${message}`
return message || code || fallback
}
const onResponseFailed = (state: ParserState, event: OpenAIResponsesEvent): StepResult => [
state,
[LLMEvent.providerError({ message: providerErrorMessage(event, "OpenAI Responses response failed") })],
[LLMEvent.providerError({ message: event.message ?? event.code ?? "OpenAI Responses response failed" })],
]
const onError = (state: ParserState, event: OpenAIResponsesEvent): StepResult => [
state,
[LLMEvent.providerError({ message: providerErrorMessage(event, "OpenAI Responses stream error") })],
[LLMEvent.providerError({ message: event.message ?? event.code ?? "OpenAI Responses stream error" })],
]
const step = (state: ParserState, event: OpenAIResponsesEvent) => {
+1 -11
View File
@@ -80,7 +80,7 @@ export const subtractTokens = (total: number | undefined, subtrahend: number | u
*/
export const sumTokens = (...values: ReadonlyArray<number | undefined>): number | undefined => {
if (values.every((value) => value === undefined)) return undefined
return values.reduce((acc: number, value) => acc + (value ?? 0), 0)
return values.reduce<number>((acc, value) => acc + (value ?? 0), 0)
}
export const eventError = (route: string, message: string, raw?: string) =>
@@ -122,16 +122,6 @@ export const parseToolInput = (route: string, name: string, raw: string) =>
export const mediaBytes = (part: MediaPart) =>
typeof part.data === "string" ? part.data : Buffer.from(part.data).toString("base64")
export const mediaBase64 = (part: MediaPart) => {
if (typeof part.data !== "string" || !part.data.startsWith("data:")) return mediaBytes(part)
return part.data.slice(part.data.indexOf(",") + 1)
}
export const mediaDataUrl = (part: MediaPart) =>
typeof part.data === "string" && part.data.startsWith("data:")
? part.data
: `data:${part.mediaType};base64,${mediaBytes(part)}`
export const trimBaseUrl = (value: string) => value.replace(/\/+$/, "")
export const toolResultText = (part: ToolResultPart) => {
@@ -1,73 +1,60 @@
import { Schema } from "effect"
import type { LLMRequest } from "../../schema"
import { ReasoningEfforts, TextVerbosity, type ReasoningEffort } from "../../schema"
import { ProviderOptions } from "./provider-options"
import type { LLMRequest, ReasoningEffort, TextVerbosity as TextVerbosityValue } from "../../schema"
import { ReasoningEfforts, TextVerbosity } from "../../schema"
export const OpenAIReasoningEfforts = ReasoningEfforts.filter(
(effort): effort is Exclude<ReasoningEffort, "max"> => effort !== "max",
)
export type OpenAIReasoningEffort = (typeof OpenAIReasoningEfforts)[number]
const REASONING_EFFORTS = new Set<string>(ReasoningEfforts)
const OPENAI_REASONING_EFFORTS = new Set<string>(OpenAIReasoningEfforts)
const TEXT_VERBOSITY = new Set<string>(["low", "medium", "high"])
export const OpenAIReasoningEffort = Schema.Literals(OpenAIReasoningEfforts)
export const OpenAITextVerbosity = TextVerbosity
const isAnyReasoningEffort = (effort: unknown): effort is ReasoningEffort =>
typeof effort === "string" && REASONING_EFFORTS.has(effort)
export const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort =>
typeof effort === "string" && OPENAI_REASONING_EFFORTS.has(effort)
// Typed AI SDK OpenAI options. Mirrors the camelCase surface AI SDK accepts.
// Known keys are typed; everything else passes through to the wire body with
// its top-level key snake-cased.
export interface Options {
readonly store?: boolean
readonly promptCacheKey?: string
readonly promptCacheRetention?: string
readonly reasoningEffort?: ReasoningEffort
readonly reasoningSummary?: string
readonly textVerbosity?: "low" | "medium" | "high"
readonly include?: ReadonlyArray<string>
readonly includeEncryptedReasoning?: boolean
readonly instructions?: string
readonly conversation?: string
readonly maxToolCalls?: number
readonly metadata?: Record<string, unknown>
readonly parallelToolCalls?: boolean
readonly previousResponseId?: string
readonly safetyIdentifier?: string
readonly serviceTier?: string
readonly logprobs?: boolean | number
readonly truncation?: string
readonly user?: string
readonly [extra: string]: unknown
const isTextVerbosity = (value: unknown): value is TextVerbosityValue =>
typeof value === "string" && TEXT_VERBOSITY.has(value)
const options = (request: LLMRequest) => request.providerOptions?.openai
export const store = (request: LLMRequest): boolean | undefined => {
const value = options(request)?.store
return typeof value === "boolean" ? value : undefined
}
export const KNOWN_KEYS: ReadonlySet<string> = new Set([
"store",
"promptCacheKey",
"promptCacheRetention",
"reasoningEffort",
"reasoningSummary",
"textVerbosity",
"include",
"includeEncryptedReasoning",
"instructions",
"conversation",
"maxToolCalls",
"metadata",
"parallelToolCalls",
"previousResponseId",
"safetyIdentifier",
"serviceTier",
"logprobs",
"truncation",
"user",
])
export const reasoningEffort = (request: LLMRequest): ReasoningEffort | undefined => {
const value = options(request)?.reasoningEffort
return isAnyReasoningEffort(value) ? value : undefined
}
// Read the merged `openai` provider option bag. Producers
// (`packages/opencode/src/provider/transform.ts`) emit typed values; we widen
// only the index signature so passthrough keys remain reachable. Invalid
// shapes surface in the lowerer where they're consumed, not at decode time.
export const options = (request: LLMRequest): Options => ProviderOptions.merge(request, ["openai"]) as Options
export const reasoningSummary = (request: LLMRequest): "auto" | undefined => {
return options(request)?.reasoningSummary === "auto" ? "auto" : undefined
}
export const encryptedReasoning = (request: LLMRequest) =>
options(request)?.includeEncryptedReasoning === true ? true : undefined
export const promptCacheKey = (request: LLMRequest) => {
const value = options(request)?.promptCacheKey
return typeof value === "string" ? value : undefined
}
export const textVerbosity = (request: LLMRequest) => {
const value = options(request)?.textVerbosity
return isTextVerbosity(value) ? value : undefined
}
export const instructions = (request: LLMRequest) => {
const value = options(request)?.instructions
return typeof value === "string" ? value : undefined
}
export * as OpenAIOptions from "./openai-options"
@@ -1,34 +0,0 @@
import type { LLMRequest } from "../../schema"
const isRecord = (value: unknown): value is Record<string, unknown> =>
typeof value === "object" && value !== null && !Array.isArray(value)
// Convert a single top-level option key from camelCase to snake_case. Values
// are left verbatim — recursive conversion would mangle structured payloads
// (IDs, nested provider-shaped objects) and provider APIs do not require it.
// PascalCase (`FooBar`) becomes `foo_bar` without a leading underscore.
export const snakeKey = (key: string) =>
key.replace(/([a-z0-9])([A-Z])/g, "$1_$2").toLowerCase()
// Merge provider option namespaces using AI SDK precedence semantics: later
// sources override earlier ones, missing namespaces are skipped. Used by every
// native protocol that reads request-level provider options.
export const merge = (request: LLMRequest, keys: ReadonlyArray<string>) => {
const sources = keys.map((key) => request.providerOptions?.[key]).filter(isRecord)
return Object.assign({}, ...sources) as Record<string, unknown>
}
// Spread the unknown remainder of a merged option bag onto a provider body.
// `consumed` lists keys already lowered explicitly so they aren't duplicated
// or echoed at the wrong shape.
export const passthrough = (options: Record<string, unknown>, consumed: ReadonlySet<string>) => {
const result: Record<string, unknown> = {}
for (const [key, value] of Object.entries(options)) {
if (consumed.has(key)) continue
if (value === undefined) continue
result[snakeKey(key)] = value
}
return result
}
export * as ProviderOptions from "./provider-options"
@@ -1,6 +1,7 @@
import { Cause, Context, Effect, Layer, Queue, Stream } from "effect"
import { Headers } from "effect/unstable/http"
import { LLMError, TransportReason } from "../../schema"
import { Auth } from "../auth"
import { LLMError, TransportReason, type LLMRequest } from "../../schema"
import * as HttpTransport from "./http"
import type { Transport } from "./index"
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@@ -1,104 +0,0 @@
import { LLM, Message, ToolCallPart, ToolDefinition, ToolResultPart, type ContentPart, type Model } from "../src"
export const basicContinuation = ["system", "user-text", "assistant-text", "user-follow-up"] as const
export const toolContinuation = ["tool-call", "tool-result"] as const
export const reasoningContinuation = ["assistant-reasoning", "encrypted-reasoning"] as const
export const mediaContinuation = ["user-image"] as const
export const maximalContinuation = [
...basicContinuation,
...toolContinuation,
...reasoningContinuation,
...mediaContinuation,
] as const
export type ContinuationFeature = (typeof maximalContinuation)[number]
export const nativeOpenAIResponsesContinuation = [
...basicContinuation,
...toolContinuation,
"encrypted-reasoning",
...mediaContinuation,
] as const satisfies ReadonlyArray<ContinuationFeature>
export const nativeAnthropicMessagesContinuation = [
...basicContinuation,
...toolContinuation,
"assistant-reasoning",
...mediaContinuation,
] as const satisfies ReadonlyArray<ContinuationFeature>
export const continuationTool = ToolDefinition.make({
name: "get_weather",
description: "Get current weather for a city.",
inputSchema: {
type: "object",
properties: { city: { type: "string" } },
required: ["city"],
additionalProperties: false,
},
})
export function continuationRequest(input: {
readonly id: string
readonly model: Model
readonly features: ReadonlyArray<ContinuationFeature>
readonly image?: string
}) {
const features = new Set(input.features)
const messages = []
const firstUser: ContentPart[] = []
const firstAssistant: ContentPart[] = []
if (features.has("user-text")) firstUser.push({ type: "text", text: "What is shown here?" })
if (features.has("user-image"))
firstUser.push({ type: "media", mediaType: "image/png", data: input.image ?? "AAECAw==" })
if (firstUser.length > 0) messages.push(Message.user(firstUser))
if (features.has("assistant-reasoning"))
firstAssistant.push({
type: "reasoning",
text: "I inspected the previous turn.",
providerMetadata: { anthropic: { signature: "sig_continuation_1" } },
})
if (features.has("encrypted-reasoning"))
firstAssistant.push({
type: "reasoning",
text: "I inspected the previous turn.",
providerMetadata: {
openai: {
itemId: "rs_continuation_1",
reasoningEncryptedContent: "encrypted-continuation-state",
},
},
})
if (features.has("assistant-text")) firstAssistant.push({ type: "text", text: "It shows a small test image." })
if (firstAssistant.length > 0) messages.push(Message.assistant(firstAssistant))
if (features.has("tool-call")) {
messages.push(Message.user("Check the weather in Paris before continuing."))
messages.push(
Message.assistant([ToolCallPart.make({ id: "call_weather_1", name: "get_weather", input: { city: "Paris" } })]),
)
}
if (features.has("tool-result")) {
messages.push(
Message.tool(ToolResultPart.make({ id: "call_weather_1", name: "get_weather", result: { temperature: 22 } })),
)
if (features.has("assistant-text")) messages.push(Message.assistant("Paris is 22 degrees."))
}
if (features.has("user-follow-up"))
messages.push(Message.user("Continue from this conversation in one short sentence."))
return LLM.request({
id: input.id,
model: input.model,
system: features.has("system") ? "You are concise. Continue from the provided history." : undefined,
messages,
tools: features.has("tool-call") ? [continuationTool] : [],
cache: "none",
providerOptions: features.has("encrypted-reasoning")
? { openai: { store: false, includeEncryptedReasoning: true, reasoningSummary: "auto" } }
: undefined,
generation: { maxTokens: 80, temperature: 0 },
})
}
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@@ -1,3 +1,4 @@
import { Stream } from "effect"
import { LLMClient } from "../../src/route"
import type { Tools } from "../../src/tool"
import type { RunOptions } from "../../src/tool-runtime"
@@ -1,12 +1,10 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import { CacheHint, LLM, LLMError, Message, ToolCallPart, Usage } from "../../src"
import { Auth, LLMClient } from "../../src/route"
import * as AnthropicMessages from "../../src/protocols/anthropic-messages"
import { continuationRequest, nativeAnthropicMessagesContinuation } from "../continuation-scenarios"
import { it } from "../lib/effect"
import { dynamicResponse, fixedResponse } from "../lib/http"
import { fixedResponse } from "../lib/http"
import { sseEvents } from "../lib/sse"
const model = AnthropicMessages.route
@@ -24,19 +22,6 @@ const request = LLM.request({
generation: { maxTokens: 20, temperature: 0 },
})
type AnthropicToolResult = Extract<
AnthropicMessages.AnthropicMessagesBody["messages"][number]["content"][number],
{ readonly type: "tool_result" }
>
const expectToolResult = (body: AnthropicMessages.AnthropicMessagesBody): AnthropicToolResult => {
const result = body.messages
.flatMap((message) => (message.role === "user" ? message.content : []))
.find((block): block is AnthropicToolResult => block.type === "tool_result")
expect(result).toBeDefined()
return result!
}
describe("Anthropic Messages route", () => {
it.effect("prepares Anthropic Messages target", () =>
Effect.gen(function* () {
@@ -55,7 +40,7 @@ describe("Anthropic Messages route", () => {
it.effect("prepares tool call and tool result messages", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
const prepared = yield* LLMClient.prepare(
LLM.request({
id: "req_tool_result",
model,
@@ -84,205 +69,6 @@ describe("Anthropic Messages route", () => {
}),
)
// Regression: screenshot/read tool results must stay structured so base64
// image data is not JSON-stringified into `tool_result.content`.
it.effect("lowers image tool-result content as structured image blocks", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLM.request({
id: "req_tool_result_image",
model,
messages: [
Message.user("Show me the screenshot."),
Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: { filePath: "shot.png" } })]),
Message.tool({
id: "call_1",
name: "read",
resultType: "content",
result: [
{ type: "text", text: "Image read successfully" },
{ type: "media", mediaType: "image/png", data: "AAECAw==" },
],
}),
],
cache: "none",
}),
)
expect(expectToolResult(prepared.body).content).toEqual([
{ type: "text", text: "Image read successfully" },
{ type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
])
}),
)
it.effect("lowers single-image tool-result content as a structured image block", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLM.request({
id: "req_tool_result_image_only",
model,
messages: [
Message.assistant([ToolCallPart.make({ id: "call_1", name: "screenshot", input: {} })]),
Message.tool({
id: "call_1",
name: "screenshot",
resultType: "content",
result: [{ type: "media", mediaType: "image/jpeg", data: "/9j/AA==" }],
}),
],
cache: "none",
}),
)
expect(expectToolResult(prepared.body).content).toEqual([
{ type: "image", source: { type: "base64", media_type: "image/jpeg", data: "/9j/AA==" } },
])
}),
)
it.effect("rejects non-image media in tool-result content with a clear error", () =>
Effect.gen(function* () {
const error = yield* LLMClient.prepare(
LLM.request({
id: "req_tool_result_unsupported_media",
model,
messages: [
Message.assistant([ToolCallPart.make({ id: "call_1", name: "fetch", input: {} })]),
Message.tool({
id: "call_1",
name: "fetch",
resultType: "content",
result: [{ type: "media", mediaType: "audio/mpeg", data: "AAECAw==" }],
}),
],
cache: "none",
}),
).pipe(Effect.flip)
expect(error.message).toContain("Anthropic Messages")
expect(error.message).toContain("audio/mpeg")
}),
)
it.effect("prepares the composed native continuation request", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
continuationRequest({
id: "req_native_continuation_anthropic",
model,
features: nativeAnthropicMessagesContinuation,
}),
)
expect(prepared.body).toMatchObject({
system: [{ type: "text", text: "You are concise. Continue from the provided history." }],
messages: [
{
role: "user",
content: [
{ type: "text", text: "What is shown here?" },
{ type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
],
},
{
role: "assistant",
content: [
{ type: "thinking", thinking: "I inspected the previous turn.", signature: "sig_continuation_1" },
{ type: "text", text: "It shows a small test image." },
],
},
{ role: "user", content: [{ type: "text", text: "Check the weather in Paris before continuing." }] },
{
role: "assistant",
content: [{ type: "tool_use", id: "call_weather_1", name: "get_weather", input: { city: "Paris" } }],
},
{
role: "user",
content: [{ type: "tool_result", tool_use_id: "call_weather_1", content: '{"temperature":22}' }],
},
{ role: "assistant", content: [{ type: "text", text: "Paris is 22 degrees." }] },
{ role: "user", content: [{ type: "text", text: "Continue from this conversation in one short sentence." }] },
],
})
expect(prepared.body.tools).toEqual([expect.objectContaining({ name: "get_weather" })])
}),
)
it.effect("lowers Anthropic thinking provider option (enabled)", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
prompt: "think",
providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: 12345 } } },
}),
)
expect(prepared.body).toMatchObject({ thinking: { type: "enabled", budget_tokens: 12345 } })
}),
)
it.effect("lowers Anthropic adaptive thinking with effort sibling", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
prompt: "think",
providerOptions: { anthropic: { thinking: { type: "adaptive", display: "summarized" }, effort: "max" } },
}),
)
expect(prepared.body).toMatchObject({
thinking: { type: "adaptive", display: "summarized" },
effort: "max",
})
}),
)
it.effect("sets per-tool eager_input_streaming only when toolStreaming is true", () =>
Effect.gen(function* () {
const off = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLM.request({
model,
prompt: "use tool",
providerOptions: { anthropic: { toolStreaming: false } },
tools: [{ name: "lookup", description: "lookup", inputSchema: { type: "object" } }],
}),
)
expect(off.body.tools?.[0]?.eager_input_streaming).toBeUndefined()
const on = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLM.request({
model,
prompt: "use tool",
providerOptions: { anthropic: { toolStreaming: true } },
tools: [{ name: "lookup", description: "lookup", inputSchema: { type: "object" } }],
}),
)
expect(on.body.tools?.[0]?.eager_input_streaming).toBe(true)
}),
)
it.effect("passes unknown Anthropic provider options through with snake-cased keys", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
prompt: "go",
providerOptions: {
anthropic: {
anthropicBeta: ["claude-2024-07-15"],
customField: { keepCamelCase: true },
},
},
}),
)
expect(prepared.body).toMatchObject({
anthropic_beta: ["claude-2024-07-15"],
custom_field: { keepCamelCase: true },
})
}),
)
it.effect("lowers preserved Anthropic reasoning signature metadata", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
@@ -411,29 +197,7 @@ describe("Anthropic Messages route", () => {
),
)
// Prefix the error type so consumers can distinguish overloads, rate
// limits, and quota errors without parsing the message string.
expect(response.events).toEqual([{ type: "provider-error", message: "overloaded_error: Overloaded" }])
}),
)
it.effect("falls back to error type when no message is present", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(fixedResponse(sseEvents({ type: "error", error: { type: "overloaded_error", message: "" } }))),
)
expect(response.events).toEqual([{ type: "provider-error", message: "overloaded_error" }])
}),
)
it.effect("falls back to a stable default when error payload is absent", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(fixedResponse(sseEvents({ type: "error" }))),
)
expect(response.events).toEqual([{ type: "provider-error", message: "Anthropic Messages stream error" }])
expect(response.events).toEqual([{ type: "provider-error", message: "Overloaded" }])
}),
)
@@ -628,51 +392,17 @@ describe("Anthropic Messages route", () => {
}),
)
it.effect("continues a conversation with user image content", () =>
it.effect("rejects unsupported user media content", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
const error = yield* LLMClient.prepare(
LLM.request({
id: "req_media",
model,
messages: [
Message.user([
{ type: "text", text: "What is in this image?" },
{ type: "media", mediaType: "image/png", data: "AAECAw==" },
]),
],
messages: [Message.user({ type: "media", mediaType: "image/png", data: "AAECAw==" })],
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(yield* Effect.promise(() => web.json())).toMatchObject({
messages: [
{
role: "user",
content: [
{ type: "text", text: "What is in this image?" },
{ type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
],
},
],
})
return input.respond(
sseEvents(
{ type: "content_block_start", index: 0, content_block: { type: "text", text: "" } },
{ type: "content_block_delta", index: 0, delta: { type: "text_delta", text: "An image." } },
{ type: "content_block_stop", index: 0 },
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 3 } },
{ type: "message_stop" },
),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
).pipe(Effect.flip)
expect(response.text).toBe("An image.")
expect(error.message).toContain("Anthropic Messages user messages only support text content for now")
}),
)
@@ -5,6 +5,7 @@ import { Effect } from "effect"
import { CacheHint, LLM, Message, ToolCallPart, ToolChoice } from "../../src"
import { LLMClient } from "../../src/route"
import { AmazonBedrock } from "../../src/providers"
import * as BedrockConverse from "../../src/protocols/bedrock-converse"
import { it } from "../lib/effect"
import { fixedResponse } from "../lib/http"
import {
@@ -84,10 +84,8 @@ describeRecordedGoldenScenarios([
scenarios: [
{ id: "text", temperature: false },
{ id: "reasoning", temperature: false },
{ id: "reasoning-continuation", temperature: false },
{ id: "tool-call", temperature: false },
{ id: "tool-loop", temperature: false },
{ id: "image-tool-result", temperature: false, maxTokens: 40 },
],
},
{
@@ -113,10 +111,7 @@ describeRecordedGoldenScenarios([
requires: ["ANTHROPIC_API_KEY"],
tags: ["flagship"],
options: { redactor: Redactor.defaults({ requestHeaders: { allow: ["content-type", "anthropic-version"] } }) },
scenarios: [
{ id: "tool-loop", temperature: false },
{ id: "image-tool-result", temperature: false, maxTokens: 40 },
],
scenarios: [{ id: "tool-loop", temperature: false }],
},
{
name: "Gemini 2.5 Flash",
@@ -6,7 +6,7 @@ import { Auth, LLMClient } from "../../src/route"
import * as OpenAICompatible from "../../src/providers/openai-compatible"
import * as OpenAICompatibleChat from "../../src/protocols/openai-compatible-chat"
import { it } from "../lib/effect"
import { dynamicResponse, fixedResponse } from "../lib/http"
import { dynamicResponse } from "../lib/http"
import { sseEvents } from "../lib/sse"
const Json = Schema.fromJsonString(Schema.Unknown)
@@ -199,134 +199,6 @@ describe("OpenAI-compatible Chat route", () => {
}),
)
it.effect("passes through compatible options and prior reasoning for tool continuations", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
providerOptions: {
deepseek: {
reasoningEffort: "max",
textVerbosity: "low",
promptCacheKey: "session_123",
strictJsonSchema: false,
enable_thinking: true,
},
},
messages: [
Message.user("Audit the site"),
Message.make({
role: "assistant",
native: { openaiCompatible: { reasoning_content: "I should inspect the page." } },
content: [ToolCallPart.make({ id: "call_1", name: "lookup", input: { query: "page" } })],
}),
],
}),
)
expect(prepared.body).toMatchObject({
reasoning_effort: "max",
verbosity: "low",
prompt_cache_key: "session_123",
enable_thinking: true,
messages: [
{ role: "user", content: "Audit the site" },
{
role: "assistant",
reasoning_content: "I should inspect the page.",
tool_calls: [
{
id: "call_1",
function: { name: "lookup", arguments: '{"query":"page"}' },
},
],
},
],
})
expect(prepared.body).not.toHaveProperty("strictJsonSchema")
}),
)
it.effect("preserves structured reasoning_details on compatible continuations", () =>
Effect.gen(function* () {
const details = [
{ type: "reasoning.text", text: "Let me work through this.", format: "anthropic-claude-v1", index: 0 },
{ type: "reasoning.encrypted", data: "sha256:abc123", format: "anthropic-claude-v1", index: 1 },
]
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
messages: [
Message.make({
role: "assistant",
native: { openaiCompatible: { reasoning_details: details } },
content: [ToolCallPart.make({ id: "call_1", name: "lookup", input: {} })],
}),
],
}),
)
expect(prepared.body).toMatchObject({
messages: [{ role: "assistant", reasoning_details: details }],
})
}),
)
it.effect("resolves dot-scoped compatible provider options", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model: OpenAICompatibleChat.route
.with({ provider: "opencode.internal", endpoint: { baseURL: "https://api.example.test/v1" } })
.model({ id: "reasoning-model" }),
prompt: "Think.",
providerOptions: { opencode: { reasoningEffort: "max", enable_thinking: true } },
}),
)
expect(prepared.body).toMatchObject({ reasoning_effort: "max", enable_thinking: true })
}),
)
it.effect("does not apply OpenAI effort limits to compatible providers", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model: OpenAICompatibleChat.route
.with({ provider: "openai", endpoint: { baseURL: "https://compatible.example.test/v1" } })
.model({ id: "reasoning-model" }),
prompt: "Think.",
providerOptions: { openai: { reasoningEffort: "max" } },
}),
)
expect(prepared.body).toMatchObject({ reasoning_effort: "max" })
}),
)
it.effect("parses compatible reasoning field variants", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents(
deltaChunk({ reasoning: "fallback" }),
deltaChunk({
reasoning_details: [
{ type: "reasoning.text", text: " text-detail", format: "anthropic-claude-v1", index: 0 },
{ type: "reasoning.summary", summary: " summary-detail", format: "anthropic-claude-v1", index: 1 },
],
}),
deltaChunk({}, "stop"),
),
),
),
)
expect(response.reasoning).toBe("fallback text-detail summary-detail")
}),
)
it.effect("posts to the configured compatible endpoint and parses text usage", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
@@ -7,7 +7,6 @@ import * as Azure from "../../src/providers/azure"
import * as OpenAI from "../../src/providers/openai"
import * as OpenAIResponses from "../../src/protocols/openai-responses"
import * as ProviderShared from "../../src/protocols/shared"
import { continuationRequest, nativeOpenAIResponsesContinuation } from "../continuation-scenarios"
import { it } from "../lib/effect"
import { dynamicResponse, fixedResponse } from "../lib/http"
import { sseEvents } from "../lib/sse"
@@ -26,19 +25,6 @@ const request = LLM.request({
const configEnv = (env: Record<string, string>) => Effect.provide(ConfigProvider.layer(ConfigProvider.fromEnv({ env })))
type OpenAIToolOutput = Extract<
OpenAIResponses.OpenAIResponsesBody["input"][number],
{ readonly type: "function_call_output" }
>
const expectToolOutput = (body: OpenAIResponses.OpenAIResponsesBody): OpenAIToolOutput => {
const output = body.input.find(
(item): item is OpenAIToolOutput => "type" in item && item.type === "function_call_output",
)
expect(output).toBeDefined()
return output!
}
describe("OpenAI Responses route", () => {
it.effect("prepares OpenAI Responses target", () =>
Effect.gen(function* () {
@@ -261,127 +247,6 @@ describe("OpenAI Responses route", () => {
}),
)
// Regression: screenshot/read tool results must stay structured so base64
// image data is not JSON-stringified into `function_call_output.output`.
it.effect("lowers image tool-result content as structured input_image items", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
LLM.request({
id: "req_tool_result_image",
model,
messages: [
Message.user("Show me the screenshot."),
Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: { filePath: "shot.png" } })]),
Message.tool({
id: "call_1",
name: "read",
resultType: "content",
result: [
{ type: "text", text: "Image read successfully" },
{ type: "media", mediaType: "image/png", data: "AAECAw==" },
],
}),
],
}),
)
expect(expectToolOutput(prepared.body).output).toEqual([
{ type: "input_text", text: "Image read successfully" },
{ type: "input_image", image_url: "data:image/png;base64,AAECAw==" },
])
}),
)
it.effect("lowers single-image tool-result content as structured input_image array", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
LLM.request({
id: "req_tool_result_image_only",
model,
messages: [
Message.assistant([ToolCallPart.make({ id: "call_1", name: "screenshot", input: {} })]),
Message.tool({
id: "call_1",
name: "screenshot",
resultType: "content",
result: [{ type: "media", mediaType: "image/png", data: "AAECAw==" }],
}),
],
}),
)
expect(expectToolOutput(prepared.body).output).toEqual([
{ type: "input_image", image_url: "data:image/png;base64,AAECAw==" },
])
}),
)
it.effect("rejects non-image media in tool-result content with a clear error", () =>
Effect.gen(function* () {
const error = yield* LLMClient.prepare(
LLM.request({
id: "req_tool_result_unsupported_media",
model,
messages: [
Message.assistant([ToolCallPart.make({ id: "call_1", name: "fetch", input: {} })]),
Message.tool({
id: "call_1",
name: "fetch",
resultType: "content",
result: [{ type: "media", mediaType: "audio/mpeg", data: "AAECAw==" }],
}),
],
}),
).pipe(Effect.flip)
expect(error.message).toContain("OpenAI Responses")
expect(error.message).toContain("audio/mpeg")
}),
)
it.effect("prepares the composed native continuation request", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
continuationRequest({
id: "req_native_continuation_openai",
model,
features: nativeOpenAIResponsesContinuation,
}),
)
expect(prepared.body).toMatchObject({
input: [
{ role: "system", content: "You are concise. Continue from the provided history." },
{
role: "user",
content: [
{ type: "input_text", text: "What is shown here?" },
{ type: "input_image", image_url: "data:image/png;base64,AAECAw==" },
],
},
{
type: "reasoning",
id: "rs_continuation_1",
encrypted_content: "encrypted-continuation-state",
summary: [{ type: "summary_text", text: "I inspected the previous turn." }],
},
{ role: "assistant", content: [{ type: "output_text", text: "It shows a small test image." }] },
{ role: "user", content: [{ type: "input_text", text: "Check the weather in Paris before continuing." }] },
{ type: "function_call", call_id: "call_weather_1", name: "get_weather", arguments: '{"city":"Paris"}' },
{ type: "function_call_output", call_id: "call_weather_1", output: '{"temperature":22}' },
{ role: "assistant", content: [{ type: "output_text", text: "Paris is 22 degrees." }] },
{
role: "user",
content: [{ type: "input_text", text: "Continue from this conversation in one short sentence." }],
},
],
include: ["reasoning.encrypted_content"],
store: false,
})
expect(prepared.body.tools).toEqual([expect.objectContaining({ type: "function", name: "get_weather" })])
}),
)
it.effect("maps OpenAI provider options to Responses options", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
@@ -407,30 +272,6 @@ describe("OpenAI Responses route", () => {
}),
)
it.effect("passes unknown OpenAI provider options through with snake-cased keys", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
LLM.request({
model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).model("gpt-5.2"),
prompt: "passthrough",
providerOptions: {
openai: {
customCamelCaseField: "value",
already_snake_case: 42,
nested: { keepCamelCase: true },
},
},
}),
)
expect(prepared.body).toMatchObject({
custom_camel_case_field: "value",
already_snake_case: 42,
nested: { keepCamelCase: true },
})
}),
)
it.effect("request OpenAI provider options override route defaults", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
@@ -539,172 +380,6 @@ describe("OpenAI Responses route", () => {
}),
)
it.effect("preserves encrypted reasoning metadata for continuation", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents(
{ type: "response.reasoning_summary_text.delta", item_id: "rs_1", delta: "thinking" },
{
type: "response.output_item.done",
item: {
type: "reasoning",
id: "rs_1",
encrypted_content: "encrypted-state",
summary: [{ type: "summary_text", text: "thinking" }],
},
},
{ type: "response.completed", response: { id: "resp_1" } },
),
),
),
)
expect(response.events).toContainEqual(
expect.objectContaining({
type: "reasoning-end",
id: "rs_1",
providerMetadata: { openai: { itemId: "rs_1", reasoningEncryptedContent: "encrypted-state" } },
}),
)
}),
)
it.effect("continues a stateless reasoning conversation", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
id: "req_reasoning_continue",
model,
messages: [
Message.user("What changed?"),
Message.assistant([
{
type: "reasoning",
text: "Checked the previous diff.",
providerMetadata: {
openai: {
itemId: "rs_1",
reasoningEncryptedContent: "encrypted-state",
},
},
},
{ type: "text", text: "The parser changed." },
]),
Message.user("Summarize it."),
],
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(yield* Effect.promise(() => web.json())).toMatchObject({
input: [
{ role: "user", content: [{ type: "input_text", text: "What changed?" }] },
{
type: "reasoning",
id: "rs_1",
encrypted_content: "encrypted-state",
summary: [{ type: "summary_text", text: "Checked the previous diff." }],
},
{ role: "assistant", content: [{ type: "output_text", text: "The parser changed." }] },
{ role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
],
})
return input.respond(
sseEvents(
{ type: "response.output_text.delta", item_id: "msg_1", delta: "Parser now round-trips reasoning." },
{ type: "response.completed", response: { id: "resp_1" } },
),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
expect(response.text).toBe("Parser now round-trips reasoning.")
}),
)
it.effect("preserves assistant content order around reasoning items", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
LLM.request({
id: "req_reasoning_order",
model,
messages: [
Message.assistant([
{ type: "text", text: "Before." },
{
type: "reasoning",
text: "Checked order.",
providerMetadata: {
openai: {
itemId: "rs_1",
reasoningEncryptedContent: "encrypted-state",
},
},
},
{ type: "text", text: "After." },
]),
],
}),
)
expect(prepared.body.input).toEqual([
{ role: "assistant", content: [{ type: "output_text", text: "Before." }] },
{
type: "reasoning",
id: "rs_1",
encrypted_content: "encrypted-state",
summary: [{ type: "summary_text", text: "Checked order." }],
},
{ role: "assistant", content: [{ type: "output_text", text: "After." }] },
])
}),
)
it.effect("skips non-persisted reasoning ids without encrypted state", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
id: "req_reasoning_without_encrypted_state",
model,
messages: [
Message.user("What changed?"),
Message.assistant([
{
type: "reasoning",
text: "Checked the previous diff.",
providerMetadata: {
openai: {
itemId: "rs_1",
reasoningEncryptedContent: null,
},
},
},
{ type: "text", text: "The parser changed." },
]),
Message.user("Summarize it."),
],
providerOptions: { openai: { store: false } },
}),
)
expect(prepared.body).toMatchObject({
input: [
{ role: "user", content: [{ type: "input_text", text: "What changed?" }] },
{ role: "assistant", content: [{ type: "output_text", text: "The parser changed." }] },
{ role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
],
store: false,
})
}),
)
it.effect("assembles streamed function call input", () =>
Effect.gen(function* () {
const body = sseEvents(
@@ -901,11 +576,7 @@ describe("OpenAI Responses route", () => {
Effect.provide(fixedResponse(sseEvents({ type: "error", code: "rate_limit_exceeded", message: "Slow down" }))),
)
// Prefix the code so consumers see the failure mode, not just the
// sometimes-generic provider message. The bare message alone meant
// production errors like rate limits were indistinguishable from
// unrelated stream failures.
expect(response.events).toEqual([{ type: "provider-error", message: "rate_limit_exceeded: Slow down" }])
expect(response.events).toEqual([{ type: "provider-error", message: "Slow down" }])
}),
)
@@ -919,99 +590,6 @@ describe("OpenAI Responses route", () => {
}),
)
it.effect("falls back to error code when message is empty", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(fixedResponse(sseEvents({ type: "error", code: "internal_error", message: "" }))),
)
expect(response.events).toEqual([{ type: "provider-error", message: "internal_error" }])
}),
)
// Regression: `response.failed` carries the failure details under
// `response.error`, not at the top level. The previous handler only
// checked top-level `message`/`code` and so always emitted the bare
// "OpenAI Responses response failed" string, hiding the real cause.
it.effect("surfaces response.failed details from response.error", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents({
type: "response.failed",
response: {
id: "resp_failed_1",
error: { code: "server_error", message: "Upstream model unavailable" },
},
}),
),
),
)
expect(response.events).toEqual([{ type: "provider-error", message: "server_error: Upstream model unavailable" }])
}),
)
it.effect("surfaces response.failed code when no nested message is present", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents({
type: "response.failed",
response: { id: "resp_failed_2", error: { code: "invalid_prompt" } },
}),
),
),
)
expect(response.events).toEqual([{ type: "provider-error", message: "invalid_prompt" }])
}),
)
it.effect("surfaces error event details even when they arrive nested under response.error", () =>
Effect.gen(function* () {
// Some OpenAI-compatible proxies and older SDK versions wrap the
// top-level error fields into a nested `response.error` payload
// when they bubble up an HTTP error as an SSE `error` event. Honour
// both shapes so the user still sees the underlying cause instead
// of the catch-all string.
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents({
type: "error",
response: { error: { code: "context_length_exceeded", message: "prompt too long" } },
}),
),
),
)
expect(response.events).toEqual([{ type: "provider-error", message: "context_length_exceeded: prompt too long" }])
}),
)
it.effect("falls back to a stable default when both error and response are absent", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(fixedResponse(sseEvents({ type: "error" }))),
)
expect(response.events).toEqual([{ type: "provider-error", message: "OpenAI Responses stream error" }])
}),
)
it.effect("falls back to a stable default when response.failed has no error payload", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(fixedResponse(sseEvents({ type: "response.failed", response: { id: "resp_failed_3" } }))),
)
expect(response.events).toEqual([{ type: "provider-error", message: "OpenAI Responses response failed" }])
}),
)
it.effect("fails HTTP provider errors before stream parsing", () =>
Effect.gen(function* () {
const error = yield* LLMClient.generate(request).pipe(
+10 -2
View File
@@ -2,7 +2,7 @@ import type { HttpRecorder } from "@opencode-ai/http-recorder"
import { describe } from "bun:test"
import { Effect } from "effect"
import type { Model } from "../src"
import { goldenScenarioTags, goldenScenarioTitle, runGoldenScenario, type GoldenScenarioID } from "./recorded-scenarios"
import { goldenScenarioTags, runGoldenScenario, type GoldenScenarioID } from "./recorded-scenarios"
import { recordedTests } from "./recorded-test"
import { kebab } from "./recorded-utils"
@@ -35,6 +35,14 @@ type TargetInput = {
const scenarioInput = (input: ScenarioInput) => (typeof input === "string" ? { id: input } : input)
const scenarioTitle = (id: GoldenScenarioID) => {
if (id === "text") return "streams text"
if (id === "tool-call") return "streams tool call"
if (id === "reasoning") return "uses reasoning"
if (id === "image") return "reads image text"
return "drives a tool loop"
}
const defaultPrefix = (target: TargetInput) => {
if (target.prefix) return target.prefix
const transport = target.transport === "websocket" ? "-websocket" : ""
@@ -69,7 +77,7 @@ const runTarget = (target: TargetInput) => {
describe(`${target.name} recorded`, () => {
target.scenarios.forEach((raw) => {
const input = scenarioInput(raw)
const name = input.name ?? goldenScenarioTitle(input.id)
const name = input.name ?? scenarioTitle(input.id)
recorded.effect.with(
name,
{
+147 -255
View File
@@ -1,17 +1,6 @@
import { expect } from "bun:test"
import { Effect, Schema, Stream } from "effect"
import {
LLM,
LLMEvent,
LLMResponse,
Message,
ToolChoice,
ToolDefinition,
type ContentPart,
type FinishReason,
type LLMRequest,
type Model,
} from "../src"
import { LLM, LLMEvent, LLMResponse, Message, ToolChoice, ToolDefinition, type LLMRequest, type Model } from "../src"
import { LLMClient } from "../src/route"
import { tool } from "../src/tool"
@@ -50,6 +39,47 @@ export const weatherRuntimeTool = tool({
),
})
export const textRequest = (input: {
readonly id: string
readonly model: Model
readonly prompt?: string
readonly maxTokens?: number
readonly temperature?: number | false
}) =>
LLM.request({
id: input.id,
model: input.model,
system: "You are concise.",
prompt: input.prompt ?? "Reply with exactly: Hello!",
cache: "none",
providerOptions:
input.model.route.id === "gemini" ? { gemini: { thinkingConfig: { thinkingBudget: 0 } } } : undefined,
generation:
input.temperature === false
? { maxTokens: input.maxTokens ?? 80 }
: { maxTokens: input.maxTokens ?? 80, temperature: input.temperature ?? 0 },
})
export const weatherToolRequest = (input: {
readonly id: string
readonly model: Model
readonly maxTokens?: number
readonly temperature?: number | false
}) =>
LLM.request({
id: input.id,
model: input.model,
system: "Call tools exactly as requested.",
prompt: "Call get_weather with city exactly Paris.",
tools: [weatherTool],
toolChoice: ToolChoice.make(weatherTool),
cache: "none",
generation:
input.temperature === false
? { maxTokens: input.maxTokens ?? 80 }
: { maxTokens: input.maxTokens ?? 80, temperature: input.temperature ?? 0 },
})
export const weatherToolLoopRequest = (input: {
readonly id: string
readonly model: Model
@@ -86,6 +116,52 @@ const restroomImage = () =>
Effect.map((bytes) => Buffer.from(bytes).toString("base64")),
)
export const imageRequest = (input: {
readonly id: string
readonly model: Model
readonly image: string
readonly maxTokens?: number
readonly temperature?: number | false
}) =>
LLM.request({
id: input.id,
model: input.model,
system: "Read images carefully. Reply only with the visible text.",
messages: [
Message.user([
{
type: "text",
text: "The image contains exactly three lowercase English words. Read them left to right and reply with only those words.",
},
{ type: "media", mediaType: "image/png", data: input.image },
]),
],
cache: "none",
generation:
input.temperature === false
? { maxTokens: input.maxTokens ?? 20 }
: { maxTokens: input.maxTokens ?? 20, temperature: input.temperature ?? 0 },
})
export const reasoningRequest = (input: {
readonly id: string
readonly model: Model
readonly maxTokens?: number
readonly temperature?: number | false
}) =>
LLM.request({
id: input.id,
model: input.model,
system: "Show concise reasoning when the provider supports visible reasoning summaries.",
prompt: "Think briefly, then reply exactly with: Hello!",
cache: "none",
providerOptions: { openai: { reasoningEffort: "low", reasoningSummary: "auto" } },
generation:
input.temperature === false
? { maxTokens: input.maxTokens ?? 120 }
: { maxTokens: input.maxTokens ?? 120, temperature: input.temperature ?? 0 },
})
export const runWeatherToolLoop = (request: LLMRequest) =>
LLMClient.stream({
request,
@@ -136,6 +212,8 @@ export const expectGoldenWeatherToolLoop = (events: ReadonlyArray<LLMEvent>) =>
expect(LLMResponse.text({ events }).trim()).toMatch(/^Paris is sunny\.?$/)
}
export type GoldenScenarioID = "text" | "tool-call" | "tool-loop" | "image" | "reasoning"
export interface GoldenScenarioContext {
readonly id: string
readonly model: Model
@@ -145,9 +223,6 @@ export interface GoldenScenarioContext {
const generate = (request: LLMRequest) => LLMClient.generate(request)
const generation = (context: GoldenScenarioContext, maxTokens: number) =>
context.temperature === false ? { maxTokens } : { maxTokens, temperature: context.temperature ?? 0 }
const normalizeImageText = (value: string) =>
value
.toLowerCase()
@@ -155,234 +230,75 @@ const normalizeImageText = (value: string) =>
.replace(/\s+/g, " ")
.trim()
const encryptedReasoningOptions = {
openai: {
store: false,
includeEncryptedReasoning: true,
reasoningEffort: "low",
reasoningSummary: "auto",
},
} as const
type AssistantTextExpectation = string | RegExp
type UserStep = { readonly type: "user"; readonly content: Message.ContentInput }
type AssistantStep = {
readonly type: "assistant"
readonly text?: AssistantTextExpectation
readonly toolCall?: { readonly name: string; readonly input: unknown }
readonly reasoning?: "openai-encrypted"
readonly id?: string
readonly system?: string
readonly maxTokens?: number
readonly finish?: FinishReason
readonly tools?: LLM.RequestInput["tools"]
readonly toolChoice?: LLM.RequestInput["toolChoice"]
readonly providerOptions?: LLMRequest["providerOptions"]
readonly assert?: (response: LLMResponse) => void
}
type ConversationStep = UserStep | AssistantStep
const user = (content: Message.ContentInput): ConversationStep => ({ type: "user", content })
const assistant = {
expectText: (
text: AssistantTextExpectation,
options?: Omit<AssistantStep, "type" | "text" | "reasoning" | "toolCall">,
): ConversationStep => ({ type: "assistant", text, ...options }),
expectToolCall: (
name: string,
input: unknown,
options?: Omit<AssistantStep, "type" | "text" | "reasoning" | "toolCall" | "finish">,
): ConversationStep => ({ type: "assistant", toolCall: { name, input }, finish: "tool-calls", ...options }),
expectEncryptedReasoningText: (
text: AssistantTextExpectation,
options?: Omit<AssistantStep, "type" | "text" | "reasoning" | "toolCall" | "providerOptions">,
): ConversationStep => ({
type: "assistant",
text,
reasoning: "openai-encrypted",
providerOptions: encryptedReasoningOptions,
...options,
}),
export const goldenScenarioTags = (id: GoldenScenarioID) => {
if (id === "text") return ["text", "golden"]
if (id === "tool-call") return ["tool", "tool-call", "golden"]
if (id === "image") return ["media", "image", "vision", "golden"]
if (id === "reasoning") return ["reasoning", "golden"]
return ["tool", "tool-loop", "golden"]
}
const assertAssistantText = (actual: string, expected: AssistantTextExpectation) => {
if (typeof expected === "string") {
expect(actual.trim()).toBe(expected)
return
}
expect(actual.trim()).toMatch(expected)
}
const assertAssistantToolCall = (response: LLMResponse, expected: NonNullable<AssistantStep["toolCall"]>) => {
expect(response.toolCalls).toMatchObject([
{ type: "tool-call", id: expect.any(String), name: expected.name, input: expected.input },
])
}
// The generated golden scenarios only model one assistant shape at a time:
// encrypted reasoning + text, text, or tool call. Keep mixed interleavings in
// focused protocol tests where event order can be asserted directly.
const assistantMessageFromResponse = (response: LLMResponse, step: AssistantStep) => {
const content: ContentPart[] = []
if (step.reasoning === "openai-encrypted") {
const reasoning = response.events.find(
(event): event is Extract<LLMEvent, { readonly type: "reasoning-end" }> =>
LLMEvent.is.reasoningEnd(event) && typeof event.providerMetadata?.openai?.itemId === "string",
)
if (!reasoning) throw new Error("OpenAI Responses did not return reasoning metadata")
expect(reasoning.providerMetadata?.openai?.reasoningEncryptedContent).toEqual(expect.any(String))
content.push({ type: "reasoning", text: response.reasoning, providerMetadata: reasoning.providerMetadata })
}
if (response.text.length > 0) content.push({ type: "text", text: response.text })
content.push(...response.toolCalls)
return Message.assistant(content)
}
const runGeneratedConversation = (context: GoldenScenarioContext, steps: ReadonlyArray<ConversationStep>) =>
export const runGoldenScenario = (id: GoldenScenarioID, context: GoldenScenarioContext) =>
Effect.gen(function* () {
const messages: Message[] = []
let generated = 0
for (const step of steps) {
if (step.type === "user") {
messages.push(Message.user(step.content))
continue
}
generated += 1
if (id === "text") {
const response = yield* generate(
LLM.request({
id: step.id ? `${context.id}_${step.id}` : `${context.id}_${generated}`,
textRequest({
id: context.id,
model: context.model,
system: step.system,
cache: "none",
messages,
tools: step.tools,
toolChoice: step.toolChoice,
providerOptions: step.providerOptions,
generation: generation(context, step.maxTokens ?? context.maxTokens ?? 80),
prompt: "Reply exactly with: Hello!",
maxTokens: context.maxTokens ?? 40,
temperature: context.temperature,
}),
)
if (step.text !== undefined) assertAssistantText(response.text, step.text)
if (step.toolCall) assertAssistantToolCall(response, step.toolCall)
step.assert?.(response)
expectFinish(response.events, step.finish ?? "stop")
messages.push(assistantMessageFromResponse(response, step))
expect(response.text.trim()).toMatch(/^Hello!?$/)
expectFinish(response.events, "stop")
return
}
})
const runTextScenario = (context: GoldenScenarioContext) =>
runGeneratedConversation(context, [
user("Reply exactly with: Hello!"),
assistant.expectText(/^Hello!?$/, {
system: "You are concise.",
maxTokens: context.maxTokens ?? 40,
providerOptions:
context.model.route.id === "gemini" ? { gemini: { thinkingConfig: { thinkingBudget: 0 } } } : undefined,
}),
])
if (id === "tool-call") {
const response = yield* generate(
weatherToolRequest({
id: context.id,
model: context.model,
maxTokens: context.maxTokens ?? 80,
temperature: context.temperature,
}),
)
expectWeatherToolCall(response)
expectFinish(response.events, "tool-calls")
return
}
const runToolCallScenario = (context: GoldenScenarioContext) =>
runGeneratedConversation(context, [
user("Call get_weather with city exactly Paris."),
assistant.expectToolCall(
weatherToolName,
{ city: "Paris" },
{
system: "Call tools exactly as requested.",
tools: [weatherTool],
toolChoice: ToolChoice.make(weatherTool),
maxTokens: context.maxTokens ?? 80,
},
),
])
if (id === "image") {
const response = yield* generate(
imageRequest({
id: context.id,
model: context.model,
image: yield* restroomImage(),
maxTokens: context.maxTokens ?? 20,
temperature: context.temperature,
}),
)
expect(normalizeImageText(response.text)).toBe(RESTROOM_IMAGE_TEXT)
expectFinish(response.events, "stop")
return
}
const runImageScenario = (context: GoldenScenarioContext) =>
Effect.gen(function* () {
yield* runGeneratedConversation(context, [
user([
{
type: "text",
text: "The image contains exactly three lowercase English words. Read them left to right and reply with only those words.",
},
{ type: "media", mediaType: "image/png", data: yield* restroomImage() },
]),
assistant.expectText(/.+/, {
system: "Read images carefully. Reply only with the visible text.",
maxTokens: context.maxTokens ?? 20,
assert: (response) => expect(normalizeImageText(response.text)).toBe(RESTROOM_IMAGE_TEXT),
}),
])
})
if (id === "reasoning") {
const response = yield* generate(
reasoningRequest({
id: context.id,
model: context.model,
maxTokens: context.maxTokens ?? 120,
temperature: context.temperature,
}),
)
expect(response.text.trim()).toMatch(/^Hello!?$/)
expect(response.usage?.reasoningTokens ?? 0).toBeGreaterThan(0)
expectFinish(response.events, "stop")
return
}
// Reproduces a tool-result image round trip: a tool returns image bytes, and
// the next model turn must receive provider-native image content instead of a
// JSON-stringified base64 blob.
const screenshotToolName = "read_screenshot"
const runImageToolResultScenario = (context: GoldenScenarioContext) =>
Effect.gen(function* () {
const image = yield* restroomImage()
const response = yield* generate(
LLM.request({
id: `${context.id}_image_tool_result`,
model: context.model,
system: "Read images carefully. Reply only with the visible text, lowercase, no punctuation.",
cache: "none",
generation: generation(context, context.maxTokens ?? 40),
messages: [
Message.user("Use the read_screenshot tool, then reply with the words shown."),
Message.assistant([{ type: "tool-call", id: "call_screenshot_1", name: screenshotToolName, input: {} }]),
Message.tool({
id: "call_screenshot_1",
name: screenshotToolName,
resultType: "content",
result: [
{ type: "text", text: "Image read successfully" },
{ type: "media", mediaType: "image/png", data: image },
],
}),
],
tools: [
ToolDefinition.make({
name: screenshotToolName,
description: "Capture a screenshot of the current screen.",
inputSchema: { type: "object", properties: {}, additionalProperties: false },
}),
],
}),
)
expectFinish(response.events, "stop")
expect(normalizeImageText(response.text)).toBe(RESTROOM_IMAGE_TEXT)
})
const runReasoningScenario = (context: GoldenScenarioContext) =>
runGeneratedConversation(context, [
user("Think briefly, then reply exactly with: Hello!"),
assistant.expectText(/^Hello!?$/, {
system: "Show concise reasoning when the provider supports visible reasoning summaries.",
providerOptions: { openai: { reasoningEffort: "low", reasoningSummary: "auto" } },
maxTokens: context.maxTokens ?? 120,
assert: (response) => expect(response.usage?.reasoningTokens ?? 0).toBeGreaterThan(0),
}),
])
const runReasoningContinuationScenario = (context: GoldenScenarioContext) =>
runGeneratedConversation(context, [
user("Think briefly, then reply exactly with: Hello!"),
assistant.expectEncryptedReasoningText(/^Hello!?$/, {
id: "first",
system: "Show concise reasoning when the provider supports visible reasoning summaries.",
maxTokens: context.maxTokens ?? 120,
}),
user("Now reply exactly with: Done."),
assistant.expectText(/^Done\.?$/, { id: "second", maxTokens: 40, providerOptions: encryptedReasoningOptions }),
])
const runToolLoopScenario = (context: GoldenScenarioContext) =>
Effect.gen(function* () {
expectGoldenWeatherToolLoop(
yield* runWeatherToolLoop(
goldenWeatherToolLoopRequest({
@@ -395,30 +311,6 @@ const runToolLoopScenario = (context: GoldenScenarioContext) =>
)
})
const goldenScenarios = {
text: { title: "streams text", tags: ["text", "golden"], run: runTextScenario },
"tool-call": { title: "streams tool call", tags: ["tool", "tool-call", "golden"], run: runToolCallScenario },
"tool-loop": { title: "drives a tool loop", tags: ["tool", "tool-loop", "golden"], run: runToolLoopScenario },
image: { title: "reads image text", tags: ["media", "image", "vision", "golden"], run: runImageScenario },
"image-tool-result": {
title: "reads image returned from tool result",
tags: ["media", "image", "vision", "tool", "tool-result", "golden"],
run: runImageToolResultScenario,
},
reasoning: { title: "uses reasoning", tags: ["reasoning", "golden"], run: runReasoningScenario },
"reasoning-continuation": {
title: "continues encrypted reasoning",
tags: ["reasoning", "continuation", "encrypted-reasoning", "golden"],
run: runReasoningContinuationScenario,
},
} as const
export type GoldenScenarioID = keyof typeof goldenScenarios
export const goldenScenarioTitle = (id: GoldenScenarioID) => goldenScenarios[id].title
export const goldenScenarioTags = (id: GoldenScenarioID) => [...goldenScenarios[id].tags]
export const runGoldenScenario = (id: GoldenScenarioID, context: GoldenScenarioContext) =>
goldenScenarios[id].run(context)
const usageSummary = (usage: LLMResponse["usage"] | undefined) => {
if (!usage) return undefined
return Object.fromEntries(
+3 -3
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.15.10",
"version": "1.15.6",
"name": "opencode",
"type": "module",
"license": "MIT",
@@ -135,7 +135,7 @@
"drizzle-orm": "catalog:",
"effect": "catalog:",
"fuzzysort": "3.1.0",
"gitlab-ai-provider": "6.7.0",
"gitlab-ai-provider": "6.6.0",
"glob": "13.0.5",
"google-auth-library": "10.5.0",
"gray-matter": "4.0.3",
@@ -159,7 +159,7 @@
"tree-sitter-powershell": "0.25.10",
"turndown": "7.2.0",
"ulid": "catalog:",
"venice-ai-sdk-provider": "2.0.2",
"venice-ai-sdk-provider": "2.0.1",
"vscode-jsonrpc": "8.2.1",
"web-tree-sitter": "0.25.10",
"which": "6.0.1",
+2
View File
@@ -42,7 +42,9 @@ import type { ACPConfig } from "./types"
import { ACPRuntime } from "./runtime"
import { Provider } from "@/provider/provider"
import { ModelID, ProviderID } from "../provider/schema"
import { Installation } from "@/installation"
import { MessageV2 } from "@/session/message-v2"
import { Config } from "@/config/config"
import { ConfigMCP } from "@/config/mcp"
import { Todo } from "@/session/todo"
import { Result, Schema } from "effect"
+1 -1
View File
@@ -69,7 +69,7 @@ export interface Interface {
whenToUse: string
systemPrompt: string
},
Provider.DefaultModelError
Provider.ModelNotFoundError
>
}

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