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wrapper-kind
| Author | SHA1 | Date | |
|---|---|---|---|
 Aiden Cline
|
8f93e2826c |
@@ -343,8 +343,14 @@
|
||||
"name": "@opencode/core",
|
||||
"version": "2.0.3",
|
||||
"dependencies": {
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"@ai-sdk/alibaba": "1.0.17",
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"@ai-sdk/anthropic": "3.0.82",
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"@ai-sdk/azure": "3.0.88",
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"@ai-sdk/cohere": "3.0.27",
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"@ai-sdk/gateway": "3.0.104",
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"@ai-sdk/google-vertex": "4.0.128",
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"@ai-sdk/mistral": "3.0.51",
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"@ai-sdk/openai-compatible": "2.0.41",
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"@ai-sdk/perplexity": "3.0.26",
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"@ai-sdk/provider": "3.0.8",
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"@ai-sdk/provider-utils": "4.0.23",
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@@ -363,6 +369,7 @@
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"@parcel/watcher": "2.5.1",
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"@silvia-odwyer/photon-node": "0.3.4",
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"bun-pty": "0.4.8",
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"diff": "catalog:",
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"drizzle-orm": "catalog:",
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@@ -386,7 +393,6 @@
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"zod": "catalog:",
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},
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"devDependencies": {
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"@effect/platform-node": "catalog:",
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"@effect/sql-sqlite-bun": "catalog:",
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"@modelcontextprotocol/server": "2.0.0",
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@@ -1080,11 +1086,13 @@
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"ghostty-web@github:anomalyco/ghostty-web#83c0a07": "patches/ghostty-web@0.3.0.patch",
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"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch",
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},
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@@ -1187,10 +1195,38 @@
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@@ -2221,6 +2259,8 @@
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"@opencode/www": ["@opencode/www@workspace:services/www"],
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"@ai-sdk/google-vertex/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
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"@ai-sdk/google-vertex/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
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"@ai-sdk/groq/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
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"@ai-sdk/mistral/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
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"@ai-sdk/mistral/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.40", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OL5IrpUm9Y8Dwy+w/vvFwPotS6m52O9W0op2oXgXdCROMJIBalBI0oro6OIBYkPxvm5Xg02GSkoQN25RlR0bnw=="],
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"@ai-sdk/openai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
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"@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
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"@ai-sdk/perplexity/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
|
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"@ai-sdk/vercel/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.37", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-+POSFVcgiu47BK64dhsI6OpcDC0/VAE2ZSaXdXGNNhpC/ava++uSRJYks0k2bpfY0wwCTgpAWZsXn/dG2Yppiw=="],
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|
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"@ai-sdk/vercel/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
|
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|
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"@ai-sdk/xai/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.69", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.46" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-C99M0T0SpRkcCClmJxbQkpSqGmxLfh3NhTsNF3aNaUQZZ7oXN5sPWi9LGs49X5Q/r9FWxBYeZARXs15xxtGIig=="],
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"@ai-sdk/xai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
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|
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"@ai-sdk/xai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.46", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^6.28.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-tEtld97plCFiYevsJuOkGkeuhQndeMWFBVrJS4AjnbD5AqrNSXRCe0p+BZ3Cju/sxDeeZ9ym3q9YUV8fASA7aQ=="],
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|
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"@astrojs/cloudflare/@cloudflare/vite-plugin": ["@cloudflare/vite-plugin@1.52.1", "", { "dependencies": { "@cloudflare/unenv-preset": "2.16.1", "miniflare": "5.20260811.1-alpha", "unenv": "2.0.0-rc.24", "workerd": "1.20260811.1", "wrangler": "4.123.0", "ws": "8.21.0" }, "peerDependencies": { "vite": "^6.1.0 || ^7.0.0 || ^8.0.0" }, "bin": { "cf-vite": "bin/cf-vite" } }, "sha512-O2IkD8E03qsUxNBdDRfDI9JPl25XIPt+76WJf8tgm206c34jYk8nn12ylBiOI/6NA8XUFhLjRTF1BGY+kVylXw=="],
|
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|
||||
"@astrojs/cloudflare/wrangler": ["wrangler@4.123.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "5.20260811.1-alpha", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260811.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260811.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-VXo2I1oa0x9aGAKIFPRSQPqTh0RBY5Ktl44YOhNmsJQFUdJKDA2vVTU6Xj+FC2koll6orJqWZN8jbXVIk9O67Q=="],
|
||||
@@ -6761,6 +6869,14 @@
|
||||
|
||||
"@actions/github/@octokit/plugin-rest-endpoint-methods/@octokit/types": ["@octokit/types@12.6.0", "", { "dependencies": { "@octokit/openapi-types": "^20.0.0" } }, "sha512-1rhSOfRa6H9w4YwK0yrf5faDaDTb+yLyBUKOCV4xtCDB5VmIPqd/v9yr9o6SAzOAlRxMiRiCic6JVM1/kunVkw=="],
|
||||
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider-utils/undici": ["undici@6.28.0", "", {}, "sha512-LIY910g9TI13YS95lrMFrs8Rm/u/irgHeTWoKCoteeJ04CUJ92eEfj0rVn+7VKMPBpUPiUoBKfhNyLI23EE/KA=="],
|
||||
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider-utils/undici": ["undici@6.28.0", "", {}, "sha512-LIY910g9TI13YS95lrMFrs8Rm/u/irgHeTWoKCoteeJ04CUJ92eEfj0rVn+7VKMPBpUPiUoBKfhNyLI23EE/KA=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider-utils/undici": ["undici@6.28.0", "", {}, "sha512-LIY910g9TI13YS95lrMFrs8Rm/u/irgHeTWoKCoteeJ04CUJ92eEfj0rVn+7VKMPBpUPiUoBKfhNyLI23EE/KA=="],
|
||||
|
||||
"@ai-sdk/xai/@ai-sdk/provider-utils/undici": ["undici@6.28.0", "", {}, "sha512-LIY910g9TI13YS95lrMFrs8Rm/u/irgHeTWoKCoteeJ04CUJ92eEfj0rVn+7VKMPBpUPiUoBKfhNyLI23EE/KA=="],
|
||||
|
||||
"@astrojs/cloudflare/@cloudflare/vite-plugin/@cloudflare/unenv-preset": ["@cloudflare/unenv-preset@2.16.1", "", { "peerDependencies": { "unenv": "2.0.0-rc.24", "workerd": ">1.20260305.0 <2.0.0-0" }, "optionalPeers": ["workerd"] }, "sha512-ECxObrMfyTl5bhQf/lZCXwo5G6xX9IAUo+nDMKK4SZ8m4Jvvxp52vilxyySSWh2YTZz8+HQ07qGH/2rEom1vDw=="],
|
||||
|
||||
"@astrojs/cloudflare/@cloudflare/vite-plugin/miniflare": ["miniflare@5.20260811.1-alpha", "", { "dependencies": { "@cspotcode/source-map-support": "0.8.1", "sharp": "0.35.2", "undici": "7.29.0", "workerd": "1.20260811.1", "ws": "8.21.0", "youch": "4.1.0-beta.10" } }, "sha512-DtOG0BeanIxs2sH0smFvExZD89cBQwGckbHiFkRJrrNAUu3NGClZkUxqu+zy7HYfKBAgq935EMY49vIPm3JVdA=="],
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-E5T4o3wNivOg8q4wRV7yE4CUNaUq4QNPxZsnvLaGUcg=",
|
||||
"aarch64-linux": "sha256-xQQi7LgxInZQVCznASfa0Pm+cNGBo5j4Tfp0E/bKnNw=",
|
||||
"aarch64-darwin": "sha256-qxb371dCf7WG09VvQE+HZ/x3EURpFIr11bdnQwGTHhw=",
|
||||
"x86_64-darwin": "sha256-xi1qiYr41hzbgAQl+I3xdtnkiPx2SIcA/0OMpN78qXw="
|
||||
"x86_64-linux": "sha256-MLA+R+7GovdBAVtJQ1pCOtXt16s6uC7Aplfjy5k3Q2M=",
|
||||
"aarch64-linux": "sha256-mCfBpIpdeTDBSvUaKU7zGCAeV5UfkEaf3dYl5Y3okvg=",
|
||||
"aarch64-darwin": "sha256-VmDVOpRFfR5f9GlboLJWHREcG8ClpClHU27p7tb9BkI=",
|
||||
"x86_64-darwin": "sha256-wKw5EPQzuc9IptLLgJnBi6XWr3qN8Ze3GCElVFXLs6g="
|
||||
}
|
||||
}
|
||||
|
||||
@@ -168,10 +168,6 @@ export const transport = <Body>(options: Options): Transport<Body, Prepared, str
|
||||
}
|
||||
})
|
||||
: undefined
|
||||
if (input.webSocket && !channel)
|
||||
yield* Effect.logWarning(`${options.name} does not offer WebSocket for this endpoint; using HTTP`, {
|
||||
url: parts.url,
|
||||
})
|
||||
return {
|
||||
http: {
|
||||
request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),
|
||||
|
||||
@@ -67,6 +67,7 @@ type MessagePhase = Schema.Schema.Type<typeof MessagePhase>
|
||||
|
||||
export const MessageMetadata = Schema.Struct({
|
||||
itemId: Schema.optional(Schema.String),
|
||||
type: Schema.optional(Schema.Literal("message")),
|
||||
status: Schema.optional(Schema.String),
|
||||
phase: Schema.optional(MessagePhase),
|
||||
})
|
||||
@@ -173,12 +174,12 @@ type ConfigurationUpdate = Schema.Schema.Type<typeof ConfigurationUpdate>
|
||||
|
||||
export const InputItem = Schema.Union([
|
||||
CompactionItem,
|
||||
Schema.Struct({ type: Schema.tag("message"), role: Schema.tag("system"), content: Schema.String }),
|
||||
Schema.Struct({ type: Schema.tag("message"), role: Schema.tag("developer"), content: Schema.String }),
|
||||
Schema.Struct({ role: Schema.tag("system"), content: Schema.String }),
|
||||
Schema.Struct({ role: Schema.tag("developer"), content: Schema.String }),
|
||||
Schema.Struct({
|
||||
type: Schema.tag("message"),
|
||||
role: Schema.tag("user"),
|
||||
content: Schema.Array(OpenResponsesInputContent),
|
||||
type: Schema.optional(Schema.Literal("message")),
|
||||
id: Schema.optional(Schema.String),
|
||||
status: Schema.optional(Schema.String),
|
||||
}),
|
||||
@@ -665,7 +666,6 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
|
||||
continue
|
||||
}
|
||||
input.push({
|
||||
type: "message",
|
||||
role: "developer",
|
||||
content: ProviderShared.joinText(yield* ProviderShared.systemUpdateText(adapter.name, message)),
|
||||
})
|
||||
@@ -675,7 +675,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
|
||||
if (message.role === "user") {
|
||||
const content = yield* Effect.forEach(message.content, (part) => lowerUserContent(part, request, adapter))
|
||||
if (content.length > 0)
|
||||
input.push({ type: "message", role: "user", content, id: metadata?.itemId, status: metadata?.status })
|
||||
input.push({ role: "user", content, type: metadata?.type, id: metadata?.itemId, status: metadata?.status })
|
||||
continue
|
||||
}
|
||||
|
||||
@@ -766,7 +766,6 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
|
||||
? part.result.value
|
||||
: [{ type: "text", text: ProviderShared.toolResultText(part) }]
|
||||
input.push({
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: yield* Effect.forEach(content, (item) => lowerHostedToolResultContentItem(item, request, adapter)),
|
||||
})
|
||||
|
||||
@@ -715,10 +715,7 @@ const detectZaiToolStream = (provider: string, baseURL: string | undefined, mode
|
||||
|
||||
const lowerOptions = (request: LLMRequest, supportsStore: boolean) => {
|
||||
const options = OpenAIOptions.resolve(request)
|
||||
// Default off: strict providers 400 on unknown body fields, so only send
|
||||
// the key where compatibility explicitly allows it. Header-based affinity
|
||||
// (x-session-affinity, x-grok-conv-id, ...) is unaffected.
|
||||
const cacheKey = (request.model.compatibility?.supportsPromptCacheKey ?? false) ? ProviderShared.promptCacheKey(request) : undefined
|
||||
const cacheKey = ProviderShared.promptCacheKey(request)
|
||||
return {
|
||||
...(supportsStore && options.store !== undefined ? { store: options.store } : {}),
|
||||
// For providers that support `store`, ensure stateless `store:false` is sent
|
||||
|
||||
@@ -73,27 +73,9 @@ const SERVER_CODES = new Set([
|
||||
"serviceunavailableexception",
|
||||
])
|
||||
const INVALID_REQUEST_CODES = new Set(["invalid_prompt", "invalid_request_error", "validationexception"])
|
||||
// Azure OpenAI reports `content_filter` with `innererror.code` ResponsibleAIPolicyViolation.
|
||||
// OpenRouter tags provider failures with a typed `error_type`; its Responses skin also
|
||||
// emits `image_content_policy_violation` as the native code.
|
||||
const CONTENT_POLICY_CODES = new Set([
|
||||
"content_filter",
|
||||
"responsibleaipolicyviolation",
|
||||
"content_policy_violation",
|
||||
"image_content_policy_violation",
|
||||
"refusal",
|
||||
])
|
||||
// OpenCode Zen replaces upstream codes outside its allow-list but keeps the original
|
||||
// as a `[code]` label at the start of the rewritten message.
|
||||
const GATEWAY_CODE_LABEL = /^[^:\n]+: \[([A-Za-z0-9_.-]+)\]/
|
||||
const RATE_LIMIT_TEXT = /rate increased too quickly|rate[-_\s]?limit|too[_\s]?many[_\s]?requests/i
|
||||
const QUOTA_TEXT = /insufficient[-_\s]?quota|quota[-_\s]?exceeded/i
|
||||
// Policy rejections without a dedicated code, matched against the provider's own
|
||||
// explanation only. OpenAI reuses `invalid_prompt` for usage-policy rejections while
|
||||
// Bedrock Mantle reuses it for schema validation; Anthropic reports blocked output
|
||||
// under `invalid_request_error`.
|
||||
const CONTENT_POLICY_TEXT =
|
||||
/violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system/i
|
||||
const CONTENT_POLICY_TEXT = /content[-_\s]?policy|content_filter|safety/i
|
||||
const SERVER_ERROR_TEXT =
|
||||
/\b(?:try again|(?:please |you can )?retry (?:the |this |your )?request|try (?:the |this |your )?request again|(?:currently |temporarily )?at capacity|overloaded|temporarily unavailable|service[-_\s]?unavailable|(?:server|internal)[-_\s]?error|server (?:is )?busy|provider returned (?:an )?error|resource[-_\s]?exhausted|upstream (?:connect|connection|request)|request buffer limit while retrying upstream)\b/i
|
||||
|
||||
@@ -120,12 +102,9 @@ export interface ProviderFailure {
|
||||
export function classifyProviderFailure(input: ProviderFailure): AIError["reason"] {
|
||||
const details = { message: input.message, body: input.rawBody, http: input.http, cause: input.cause }
|
||||
const body = input.rawBody ?? ""
|
||||
const codes = [
|
||||
...providerCodes(input.data),
|
||||
...providerCodes(body),
|
||||
...providerCodes(input.message),
|
||||
...(GATEWAY_CODE_LABEL.exec(input.message)?.slice(1) ?? []),
|
||||
].map((code) => code.toLowerCase())
|
||||
const codes = [...providerCodes(input.data), ...providerCodes(body), ...providerCodes(input.message)].map((code) =>
|
||||
code.toLowerCase(),
|
||||
)
|
||||
// Scan the raw payload too so signals missing from the summary message
|
||||
// (e.g. overflow phrases nested in a JSON error body) still classify.
|
||||
const text = [input.message, body].filter((value) => value.length > 0).join("\n")
|
||||
@@ -141,8 +120,7 @@ export function classifyProviderFailure(input: ProviderFailure): AIError["reason
|
||||
return new InvalidRequestError({ ...details, classification: "context-overflow" })
|
||||
if (input.status === 413 || isPayloadTooLarge(text))
|
||||
return new InvalidRequestError({ ...details, classification: "payload-too-large" })
|
||||
if (codes.some((code) => CONTENT_POLICY_CODES.has(code)) || (clientScoped && CONTENT_POLICY_TEXT.test(input.message)))
|
||||
return new ContentPolicyError(details)
|
||||
if (CONTENT_POLICY_TEXT.test(text)) return new ContentPolicyError(details)
|
||||
if (codes.some((code) => QUOTA_CODES.has(code)) || (input.status === 429 && QUOTA_TEXT.test(text)))
|
||||
return new QuotaExceededError(details)
|
||||
if (input.status === 401 || input.status === 403 || codes.some((code) => AUTH_CODES.has(code)))
|
||||
@@ -182,24 +160,12 @@ function providerCodes(value: unknown) {
|
||||
const decoded = typeof value === "string" ? Option.getOrUndefined(decodeJson(value)) : value
|
||||
if (!isRecord(decoded)) return []
|
||||
const error = isRecord(decoded.error) ? decoded.error : undefined
|
||||
const inner = error && isRecord(error.innererror) ? error.innererror : undefined
|
||||
const metadata = error && isRecord(error.metadata) ? error.metadata : undefined
|
||||
const response = isRecord(decoded.response) ? decoded.response : undefined
|
||||
const responseError = response && isRecord(response.error) ? response.error : undefined
|
||||
const exception = isRecord(decoded.exception) ? decoded.exception : undefined
|
||||
return [
|
||||
decoded.code,
|
||||
decoded.error_type,
|
||||
error?.code,
|
||||
error?.type,
|
||||
error?.status,
|
||||
error?.error_type,
|
||||
inner?.code,
|
||||
metadata?.error_type,
|
||||
responseError?.code,
|
||||
response?.error_type,
|
||||
exception?.type,
|
||||
].filter((value): value is string => typeof value === "string")
|
||||
return [decoded.code, error?.code, error?.type, error?.status, responseError?.code, exception?.type].filter(
|
||||
(value): value is string => typeof value === "string",
|
||||
)
|
||||
}
|
||||
|
||||
function isRecord(value: unknown): value is Record<string, unknown> {
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
import { Headers } from "effect/unstable/http"
|
||||
import { Auth } from "../route/auth.js"
|
||||
import { type AtLeastOne, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import type { Route, RouteDefaultsInput, CompactionOperations } from "../route/client.js"
|
||||
@@ -60,6 +61,11 @@ const responsesRoute = OpenAIResponses.route.with({
|
||||
url.searchParams.delete("api-version")
|
||||
return url.toString()
|
||||
},
|
||||
headers: (headers) => {
|
||||
const apiKey = headers["api-key"]
|
||||
if (!apiKey) return headers
|
||||
return Headers.remove(Headers.set(headers, "authorization", `Bearer ${apiKey}`), "api-key")
|
||||
},
|
||||
}),
|
||||
})
|
||||
|
||||
@@ -129,7 +135,7 @@ export const configure = (input: Config) => {
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
configuredRoute(chatRoute, input, modelID)
|
||||
.with(withOpenAIOptions(modelID, modelDefaults))
|
||||
.model<OpenAIProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } })
|
||||
.model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
|
||||
return {
|
||||
id,
|
||||
|
||||
@@ -44,7 +44,7 @@ export const configure = (input: LanguageModelOptions = {}) => {
|
||||
model: (modelID: string | ModelID) =>
|
||||
configured.model<OpenAIProviderOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning", supportsStore: false, supportsPromptCacheKey: true },
|
||||
compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning", supportsStore: false },
|
||||
}),
|
||||
configure,
|
||||
}
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
import { Schema, type Config, type Redacted } from "effect"
|
||||
import type { Config, Redacted } from "effect"
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
import { AnthropicMessages, OpenAIChat, OpenAIResponses } from "../protocols/index.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { Auth } from "../route/auth.js"
|
||||
import type { AtLeastOne, ProviderAuthOption } from "../route/auth-options.js"
|
||||
import type { RouteDefaultsInput } from "../route/client.js"
|
||||
import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { ProviderConfigurationError, ProviderID, type ModelID } from "../schema/index.js"
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options.js"
|
||||
|
||||
@@ -13,29 +14,21 @@ export const authEnvVars = ["CLOUDFLARE_API_TOKEN", "CF_AIG_TOKEN"] as const
|
||||
type GatewayURL = AtLeastOne<{
|
||||
readonly accountId: string
|
||||
readonly baseURL: string
|
||||
}>
|
||||
|
||||
type GatewayOptions = {
|
||||
}> & {
|
||||
readonly gatewayId?: string
|
||||
readonly metadata?: unknown
|
||||
readonly cacheTtl?: number
|
||||
readonly cacheKey?: string
|
||||
readonly skipCache?: boolean
|
||||
readonly collectLog?: boolean
|
||||
}
|
||||
|
||||
export type LanguageModelOptions = GatewayURL &
|
||||
GatewayOptions &
|
||||
Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
/** Cloudflare AI Gateway authentication token. Sent as `cf-aig-authorization`. */
|
||||
readonly gatewayApiKey?: string | Redacted.Redacted | Config.Config<string | Redacted.Redacted>
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
export type Settings = ProviderPackage.Settings &
|
||||
OpenAIProviderOptionsInput &
|
||||
GatewayURL &
|
||||
GatewayOptions & {
|
||||
GatewayURL & {
|
||||
readonly apiKey?: string
|
||||
readonly gatewayApiKey?: string
|
||||
}
|
||||
@@ -47,113 +40,73 @@ export const baseURL = (input: GatewayURL) => {
|
||||
provider: id,
|
||||
message: "CloudflareAIGateway.configure requires accountId unless baseURL is supplied",
|
||||
})
|
||||
return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(input.accountId)}/ai/v1`
|
||||
return `https://gateway.ai.cloudflare.com/v1/${encodeURIComponent(input.accountId)}/${encodeURIComponent(input.gatewayId?.trim() || "default")}/compat`
|
||||
}
|
||||
|
||||
export const responsesRoute = OpenAIResponses.route.with({
|
||||
id: "cloudflare-ai-gateway-responses",
|
||||
provider: id,
|
||||
endpoint: { baseURL: undefined },
|
||||
})
|
||||
|
||||
export const messagesRoute = AnthropicMessages.route.with({
|
||||
id: "cloudflare-ai-gateway-messages",
|
||||
provider: id,
|
||||
endpoint: { baseURL: undefined },
|
||||
})
|
||||
|
||||
export const route = OpenAIChat.route.with({
|
||||
id: "cloudflare-ai-gateway-chat",
|
||||
provider: id,
|
||||
endpoint: { baseURL: undefined },
|
||||
})
|
||||
|
||||
export const routes = [responsesRoute, messagesRoute, route]
|
||||
|
||||
const auth = (input: LanguageModelOptions) => {
|
||||
if ("auth" in input && input.auth) return input.auth
|
||||
return Auth.optional(input.gatewayApiKey ?? ("apiKey" in input ? input.apiKey : undefined), "apiKey")
|
||||
const gateway = Auth.optional(input.gatewayApiKey, "gatewayApiKey")
|
||||
.orElse(Auth.config(authEnvVars[0]))
|
||||
.orElse(Auth.config(authEnvVars[1]))
|
||||
.bearer()
|
||||
.pipe(Auth.bearerHeader("cf-aig-authorization"))
|
||||
if (!("apiKey" in input) || input.apiKey === undefined) return gateway
|
||||
if (input.gatewayApiKey === undefined) return Auth.bearer(input.apiKey)
|
||||
return Auth.bearerHeader("cf-aig-authorization", input.gatewayApiKey).andThen(Auth.bearer(input.apiKey))
|
||||
}
|
||||
|
||||
const headers = (input: LanguageModelOptions) => ({
|
||||
...(input.gatewayId === undefined ? {} : { "cf-aig-gateway-id": input.gatewayId.trim() || "default" }),
|
||||
...(input.metadata === undefined
|
||||
? {}
|
||||
: { "cf-aig-metadata": Schema.encodeSync(Schema.fromJsonString(Schema.Unknown))(input.metadata) }),
|
||||
...(input.cacheTtl === undefined ? {} : { "cf-aig-cache-ttl": String(input.cacheTtl) }),
|
||||
...(input.cacheKey === undefined ? {} : { "cf-aig-cache-key": input.cacheKey }),
|
||||
...(input.skipCache === undefined ? {} : { "cf-aig-skip-cache": String(input.skipCache) }),
|
||||
...(input.collectLog === undefined ? {} : { "cf-aig-collect-log": String(input.collectLog) }),
|
||||
...input.headers,
|
||||
export const route = Route.make({
|
||||
id: "cloudflare-ai-gateway",
|
||||
provider: id,
|
||||
providerMetadataKey: "cloudflare-ai-gateway",
|
||||
protocol: OpenAIChat.protocol,
|
||||
endpoint: Endpoint.path("/chat/completions"),
|
||||
framing: OpenAIChat.framing,
|
||||
})
|
||||
|
||||
const modelID = (input: string | ModelID) => {
|
||||
const value = String(input)
|
||||
if (value.startsWith("workers-ai/")) return value.slice("workers-ai/".length)
|
||||
if (value.startsWith("anthropic/")) return `anthropic/${value.slice("anthropic/".length).replaceAll(".", "-")}`
|
||||
return value
|
||||
}
|
||||
export const routes = [route]
|
||||
|
||||
export const configure = (input: LanguageModelOptions) => {
|
||||
const defaults = {
|
||||
const {
|
||||
accountId: _accountId,
|
||||
gatewayId: _gatewayId,
|
||||
apiKey: _apiKey,
|
||||
gatewayApiKey: _gatewayApiKey,
|
||||
baseURL: _baseURL,
|
||||
auth: _auth,
|
||||
...defaults
|
||||
} = input
|
||||
const configured = route.with({
|
||||
...defaults,
|
||||
endpoint: { baseURL: baseURL(input) },
|
||||
auth: auth(input),
|
||||
headers: headers(input),
|
||||
http: input.http,
|
||||
providerOptions: input.providerOptions,
|
||||
}
|
||||
const responses = responsesRoute.with(defaults)
|
||||
const messages = messagesRoute.with(defaults)
|
||||
const chat = route.with(defaults)
|
||||
})
|
||||
return {
|
||||
id,
|
||||
model: (input: string | ModelID) => {
|
||||
const wire = modelID(input)
|
||||
if (String(input).startsWith("openai/")) return responses.model<OpenAIProviderOptionsInput>({ id: wire })
|
||||
if (String(input).startsWith("anthropic/")) return messages.model<OpenAIProviderOptionsInput>({ id: wire })
|
||||
return chat.model<OpenAIProviderOptionsInput>({ id: wire })
|
||||
},
|
||||
model: (modelID: string | ModelID) => configured.model<OpenAIProviderOptionsInput>({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
export const provider = { id, configure }
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
{
|
||||
accountId,
|
||||
export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) => {
|
||||
const {
|
||||
accountId: _,
|
||||
apiKey,
|
||||
baseURL: configuredBaseURL,
|
||||
baseURL: _url,
|
||||
body,
|
||||
cacheKey,
|
||||
cacheTtl,
|
||||
collectLog,
|
||||
gatewayApiKey,
|
||||
gatewayId,
|
||||
gatewayId: _id,
|
||||
headers,
|
||||
metadata,
|
||||
skipCache,
|
||||
...providerOptions
|
||||
},
|
||||
) => {
|
||||
const connection = configuredBaseURL === undefined ? { accountId: accountId ?? "" } : { baseURL: configuredBaseURL }
|
||||
} = settings
|
||||
return configure({
|
||||
...connection,
|
||||
apiKey,
|
||||
cacheKey,
|
||||
cacheTtl,
|
||||
collectLog,
|
||||
gatewayApiKey,
|
||||
gatewayId,
|
||||
baseURL: baseURL(settings),
|
||||
headers: headers === undefined ? undefined : { ...headers },
|
||||
http: body === undefined ? undefined : { body: { ...body } },
|
||||
metadata,
|
||||
providerOptions,
|
||||
skipCache,
|
||||
}).model(modelID)
|
||||
}
|
||||
|
||||
|
||||
@@ -7,7 +7,7 @@ import { ProviderConfigurationError, ProviderID, type ModelID } from "../schema/
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options.js"
|
||||
|
||||
export const id = ProviderID.make("cloudflare-workers-ai")
|
||||
export const authEnvVars = ["CLOUDFLARE_API_KEY", "CLOUDFLARE_WORKERS_AI_TOKEN", "CLOUDFLARE_API_TOKEN"] as const
|
||||
export const authEnvVars = ["CLOUDFLARE_API_KEY", "CLOUDFLARE_WORKERS_AI_TOKEN"] as const
|
||||
|
||||
type WorkersAIURL = AtLeastOne<{
|
||||
readonly accountId: string
|
||||
|
||||
@@ -47,7 +47,7 @@ export const configure = (input: LanguageModelOptions = {}) => {
|
||||
model: (modelID: string | ModelID) =>
|
||||
configured.model<OpenAIProviderOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning_content", supportsStore: false, supportsPromptCacheKey: true },
|
||||
compatibility: { maxTokensField: "max_tokens", reasoningField: "reasoning_content", supportsStore: false },
|
||||
}),
|
||||
configure,
|
||||
}
|
||||
|
||||
@@ -41,8 +41,7 @@ export const configure = (input: LanguageModelOptions = {}) => {
|
||||
})
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) =>
|
||||
configured.model<OpenAIProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } }),
|
||||
model: (modelID: string | ModelID) => configured.model<OpenAIProviderOptionsInput>({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -132,7 +132,7 @@ export const configure = (input: LanguageModelOptions = {}) => {
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
configuredChat.model<OpenResponsesProviderOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: { maxTokensField: "max_completion_tokens", supportsStore: false, supportsPromptCacheKey: true },
|
||||
compatibility: { maxTokensField: "max_completion_tokens", supportsStore: false },
|
||||
})
|
||||
const messages = (modelID: string | ModelID) =>
|
||||
configuredMessages.model<MessagesOptionsInput>({
|
||||
|
||||
@@ -112,7 +112,6 @@ export const configure = (input: Config = {}) => {
|
||||
maxTokensField: "max_tokens",
|
||||
supportsStore: false,
|
||||
supportsStrictMode: false,
|
||||
supportsPromptCacheKey: true,
|
||||
toolSchema: "moonshot",
|
||||
reasoningField: "reasoning_content",
|
||||
},
|
||||
|
||||
@@ -91,10 +91,7 @@ export const configure = (input: Config = {}) => {
|
||||
.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))
|
||||
.model<OpenAIProviderOptionsInput>({ id })
|
||||
const chat = (id: string | ModelID) =>
|
||||
chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({
|
||||
id,
|
||||
compatibility: { supportsPromptCacheKey: true },
|
||||
})
|
||||
chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })
|
||||
const image = (modelID: string | ModelID) =>
|
||||
OpenAIImages.model({
|
||||
id: modelID,
|
||||
|
||||
@@ -183,8 +183,7 @@ export const configure = (input: LanguageModelOptions = {}) => {
|
||||
const route = configuredRoute(input)
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) =>
|
||||
route.model<OpenRouterProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } }),
|
||||
model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -168,9 +168,6 @@ export class LanguageModelCompatibility extends Schema.Class<LanguageModelCompat
|
||||
supportsStore: Schema.optional(Schema.Boolean),
|
||||
supportsUsageInStreaming: Schema.optional(Schema.Boolean),
|
||||
supportsStrictMode: Schema.optional(Schema.Boolean),
|
||||
// Accepts `prompt_cache_key` in the Chat Completions body. Chat omits the
|
||||
// key unless this is set; session-affinity headers still flow regardless.
|
||||
supportsPromptCacheKey: Schema.optional(Schema.Boolean),
|
||||
zaiToolStream: Schema.optional(Schema.Boolean),
|
||||
requireSignature: Schema.optional(Schema.Boolean),
|
||||
/** Supports Anthropic's thinking-prefix mismatch controls. Overrides model-ID detection. */
|
||||
|
||||
@@ -263,9 +263,9 @@ describe("OpenAI Responses effort updates", () => {
|
||||
|
||||
expect(prepared.body.reasoning).toEqual({ effort: "high" })
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "configuration_update", reasoning: { effort: "low" } },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -287,9 +287,9 @@ describe("OpenAI Responses effort updates", () => {
|
||||
|
||||
expect(prepared.body.reasoning).toEqual({ effort: "medium" })
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "configuration_update", reasoning: { effort: "xhigh" } },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -404,9 +404,9 @@ describe("OpenAI Responses effort updates", () => {
|
||||
const body = JSON.parse(text)
|
||||
expect(body.reasoning).toEqual({ effort: "high" })
|
||||
expect(body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "configuration_update", reasoning: { effort: "low" } },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
{ type: "compaction_trigger" },
|
||||
])
|
||||
return respond(sseEvents({ type: "response.completed", response: { id: "resp_1", output: [checkpoint] } }), {
|
||||
@@ -426,8 +426,8 @@ describe("OpenAI Responses effort updates", () => {
|
||||
Effect.sync(() => {
|
||||
expect(new URL(request.url).pathname).toEndWith("/responses/compact")
|
||||
expect(JSON.parse(text).input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
])
|
||||
return respond(JSON.stringify({ object: "response.compaction", output: [checkpoint] }))
|
||||
}),
|
||||
|
||||
Vendored
+3
-3
@@ -10,7 +10,7 @@
|
||||
"usage"
|
||||
],
|
||||
"name": "alibaba-responses/qwen-3-7-plus-streams-thinking-disabled",
|
||||
"recordedAt": "2026-09-15T04:23:38.279Z"
|
||||
"recordedAt": "2026-09-08T03:11:07.495Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -21,14 +21,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.7-plus\",\"input\":[{\"type\":\"message\",\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"max_output_tokens\":4096,\"enable_thinking\":false,\"stream\":true}"
|
||||
"body": "{\"model\":\"qwen3.7-plus\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"max_output_tokens\":4096,\"enable_thinking\":false,\"stream\":true}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream;charset=UTF-8"
|
||||
},
|
||||
"body": "id:1\nevent:response.created\n:HTTP_STATUS/200\ndata:{\"sequence_number\":0,\"type\":\"response.created\",\"response\":{\"top_logprobs\":0,\"metadata\":{},\"presence_penalty\":0.0,\"created_at\":1789446218,\"store\":true,\"tools\":[],\"output\":[],\"top_p\":1.0,\"completed_at\":1789446218,\"frequency_penalty\":0.0,\"parallel_tool_calls\":true,\"background\":false,\"temperature\":1.0,\"tool_choice\":\"auto\",\"model\":\"qwen3.7-plus\",\"service_tier\":\"default\",\"id\":\"resp_d854ed07-da8a-96a3-bbef-73a033e388b1\",\"max_output_tokens\":4096,\"object\":\"response\",\"status\":\"queued\"}}\n\nid:2\nevent:response.in_progress\n:HTTP_STATUS/200\ndata:{\"sequence_number\":1,\"type\":\"response.in_progress\",\"response\":{\"top_logprobs\":0,\"metadata\":{},\"presence_penalty\":0.0,\"created_at\":1789446218,\"store\":true,\"tools\":[],\"output\":[],\"top_p\":1.0,\"completed_at\":1789446218,\"frequency_penalty\":0.0,\"parallel_tool_calls\":true,\"background\":false,\"temperature\":1.0,\"tool_choice\":\"auto\",\"model\":\"qwen3.7-plus\",\"service_tier\":\"default\",\"id\":\"resp_d854ed07-da8a-96a3-bbef-73a033e388b1\",\"max_output_tokens\":4096,\"object\":\"response\",\"status\":\"in_progress\"}}\n\nid:3\nevent:response.output_item.added\n:HTTP_STATUS/200\ndata:{\"sequence_number\":2,\"item\":{\"id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"status\":\"in_progress\"},\"output_index\":0,\"type\":\"response.output_item.added\"}\n\nid:4\nevent:response.content_part.added\n:HTTP_STATUS/200\ndata:{\"sequence_number\":3,\"output_index\":0,\"type\":\"response.content_part.added\",\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"part\":{\"type\":\"output_text\",\"annotations\":[],\"text\":\"\"}}\n\nid:5\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":4,\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"delta\":\"3\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:6\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":5,\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"delta\":\"788\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:7\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":6,\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"delta\":\"7\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:8\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":7,\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"delta\":\"\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:9\nevent:response.output_text.done\n:HTTP_STATUS/200\ndata:{\"sequence_number\":8,\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"text\":\"37887\",\"output_index\":0,\"type\":\"response.output_text.done\",\"logprobs\":[]}\n\nid:10\nevent:response.content_part.done\n:HTTP_STATUS/200\ndata:{\"sequence_number\":9,\"output_index\":0,\"type\":\"response.content_part.done\",\"content_index\":0,\"item_id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"part\":{\"type\":\"output_text\",\"annotations\":[],\"text\":\"37887\"}}\n\nid:11\nevent:response.output_item.done\n:HTTP_STATUS/200\ndata:{\"sequence_number\":10,\"item\":{\"id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"text\":\"37887\"}],\"status\":\"completed\"},\"output_index\":0,\"type\":\"response.output_item.done\"}\n\nid:12\nevent:response.completed\n:HTTP_STATUS/200\ndata:{\"sequence_number\":11,\"type\":\"response.completed\",\"response\":{\"top_logprobs\":0,\"metadata\":{},\"presence_penalty\":0.0,\"usage\":{\"total_tokens\":73,\"input_tokens_details\":{\"cached_tokens\":0},\"output_tokens\":5,\"input_tokens\":68,\"output_tokens_details\":{\"reasoning_tokens\":0},\"x_details\":[{\"total_tokens\":73,\"x_billing_type\":\"response_api\",\"output_tokens\":5,\"input_tokens\":68,\"prompt_tokens_details\":{\"cached_tokens\":0}}]},\"created_at\":1789446218,\"store\":true,\"tools\":[],\"output\":[{\"id\":\"msg_a65411dd-b721-4232-be0c-eba901cd2241\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"text\":\"37887\"}],\"status\":\"completed\"}],\"top_p\":1.0,\"completed_at\":1789446218,\"frequency_penalty\":0.0,\"parallel_tool_calls\":true,\"background\":false,\"temperature\":1.0,\"tool_choice\":\"auto\",\"model\":\"qwen3.7-plus\",\"service_tier\":\"default\",\"id\":\"resp_d854ed07-da8a-96a3-bbef-73a033e388b1\",\"max_output_tokens\":4096,\"object\":\"response\",\"status\":\"completed\"}}\n\n"
|
||||
"body": "id:1\nevent:response.created\n:HTTP_STATUS/200\ndata:{\"sequence_number\":0,\"type\":\"response.created\",\"response\":{\"top_logprobs\":0,\"metadata\":{},\"presence_penalty\":0.0,\"created_at\":1788837067,\"store\":true,\"tools\":[],\"output\":[],\"top_p\":1.0,\"completed_at\":1788837067,\"frequency_penalty\":0.0,\"parallel_tool_calls\":true,\"background\":false,\"temperature\":1.0,\"tool_choice\":\"auto\",\"model\":\"qwen3.7-plus\",\"service_tier\":\"default\",\"id\":\"resp_493607bf-baef-9ced-9e36-2e2a583b6177\",\"max_output_tokens\":4096,\"object\":\"response\",\"status\":\"queued\"}}\n\nid:2\nevent:response.in_progress\n:HTTP_STATUS/200\ndata:{\"sequence_number\":1,\"type\":\"response.in_progress\",\"response\":{\"top_logprobs\":0,\"metadata\":{},\"presence_penalty\":0.0,\"created_at\":1788837067,\"store\":true,\"tools\":[],\"output\":[],\"top_p\":1.0,\"completed_at\":1788837067,\"frequency_penalty\":0.0,\"parallel_tool_calls\":true,\"background\":false,\"temperature\":1.0,\"tool_choice\":\"auto\",\"model\":\"qwen3.7-plus\",\"service_tier\":\"default\",\"id\":\"resp_493607bf-baef-9ced-9e36-2e2a583b6177\",\"max_output_tokens\":4096,\"object\":\"response\",\"status\":\"in_progress\"}}\n\nid:3\nevent:response.output_item.added\n:HTTP_STATUS/200\ndata:{\"sequence_number\":2,\"item\":{\"id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"status\":\"in_progress\"},\"output_index\":0,\"type\":\"response.output_item.added\"}\n\nid:4\nevent:response.content_part.added\n:HTTP_STATUS/200\ndata:{\"sequence_number\":3,\"output_index\":0,\"type\":\"response.content_part.added\",\"content_index\":0,\"item_id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"part\":{\"type\":\"output_text\",\"annotations\":[],\"text\":\"\"}}\n\nid:5\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":4,\"content_index\":0,\"item_id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"delta\":\"3\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:6\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":5,\"content_index\":0,\"item_id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"delta\":\"7887\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:7\nevent:response.output_text.delta\n:HTTP_STATUS/200\ndata:{\"sequence_number\":6,\"content_index\":0,\"item_id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"delta\":\"\",\"output_index\":0,\"type\":\"response.output_text.delta\",\"logprobs\":[]}\n\nid:8\nevent:response.output_text.done\n:HTTP_STATUS/200\ndata:{\"sequence_number\":7,\"content_index\":0,\"item_id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"text\":\"37887\",\"output_index\":0,\"type\":\"response.output_text.done\",\"logprobs\":[]}\n\nid:9\nevent:response.content_part.done\n:HTTP_STATUS/200\ndata:{\"sequence_number\":8,\"output_index\":0,\"type\":\"response.content_part.done\",\"content_index\":0,\"item_id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"part\":{\"type\":\"output_text\",\"annotations\":[],\"text\":\"37887\"}}\n\nid:10\nevent:response.output_item.done\n:HTTP_STATUS/200\ndata:{\"sequence_number\":9,\"item\":{\"id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"text\":\"37887\"}],\"status\":\"completed\"},\"output_index\":0,\"type\":\"response.output_item.done\"}\n\nid:11\nevent:response.completed\n:HTTP_STATUS/200\ndata:{\"sequence_number\":10,\"type\":\"response.completed\",\"response\":{\"top_logprobs\":0,\"metadata\":{},\"presence_penalty\":0.0,\"usage\":{\"total_tokens\":73,\"input_tokens_details\":{\"cached_tokens\":0},\"output_tokens\":5,\"input_tokens\":68,\"output_tokens_details\":{\"reasoning_tokens\":0},\"x_details\":[{\"total_tokens\":73,\"x_billing_type\":\"response_api\",\"output_tokens\":5,\"input_tokens\":68,\"prompt_tokens_details\":{\"cached_tokens\":0}}]},\"created_at\":1788837067,\"store\":true,\"tools\":[],\"output\":[{\"id\":\"msg_509c6dec-e527-41b5-a9c9-7f02fecb7a3f\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"text\":\"37887\"}],\"status\":\"completed\"}],\"top_p\":1.0,\"completed_at\":1788837067,\"frequency_penalty\":0.0,\"parallel_tool_calls\":true,\"background\":false,\"temperature\":1.0,\"tool_choice\":\"auto\",\"model\":\"qwen3.7-plus\",\"service_tier\":\"default\",\"id\":\"resp_493607bf-baef-9ced-9e36-2e2a583b6177\",\"max_output_tokens\":4096,\"object\":\"response\",\"status\":\"completed\"}}\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
Vendored
+3
-3
File diff suppressed because one or more lines are too long
Vendored
+3
-3
File diff suppressed because one or more lines are too long
packages/ai/test/fixtures/recordings/alibaba-responses/qwen-3-8-max-continues-a-stored-response.json
Vendored
+5
-5
@@ -10,7 +10,7 @@
|
||||
"storage"
|
||||
],
|
||||
"name": "alibaba-responses/qwen-3-8-max-continues-a-stored-response",
|
||||
"recordedAt": "2026-09-15T04:23:50.347Z"
|
||||
"recordedAt": "2026-09-08T03:12:42.429Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -21,14 +21,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.8-max\",\"input\":[{\"type\":\"message\",\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Remember the password word apricot. Reply OK.\"}]}],\"store\":true,\"reasoning\":{\"effort\":\"none\"},\"max_output_tokens\":1024,\"stream\":true}"
|
||||
"body": "{\"model\":\"qwen3.8-max\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Remember the password word apricot. Reply OK.\"}]}],\"store\":true,\"reasoning\":{\"effort\":\"none\"},\"max_output_tokens\":1024,\"stream\":true}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream;charset=UTF-8"
|
||||
},
|
||||
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Vendored
+3
-3
File diff suppressed because one or more lines are too long
+7
-7
File diff suppressed because one or more lines are too long
Vendored
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+17
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@@ -1,6 +1,8 @@
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"body": "{\"type\":\"response.completed\",\"response\":{\"id\":\"resp_ws_reconnect_2\"}}"
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}
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]
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}
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+19
-77
@@ -1,6 +1,8 @@
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{
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"version": 1,
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"metadata": {
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"provider": "openai",
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"protocol": "openai-responses",
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"transport": "websocket",
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"model": "gpt-5.5",
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"tags": [
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@@ -12,7 +14,7 @@
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"recovery"
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],
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},
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{
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@@ -30,67 +32,37 @@
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"body": "{\"type\":\"response.completed\",\"response\":{\"id\":\"resp_ws_rejection_1\"}}"
|
||||
}
|
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]
|
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},
|
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@@ -109,77 +81,47 @@
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{
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"direction": "server",
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"body": "{\"type\":\"response.created\",\"response\":{\"id\":\"resp_ws_rejection_2\"}}"
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|
||||
"body": "{\"type\":\"response.content_part.done\",\"content_index\":0,\"item_id\":\"msg_01cc0cda24c36acf016aa8ca3f17f887d1aa91596ed4fd7a68\",\"output_index\":1,\"part\":{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"Recovered.\"},\"sequence_number\":9}"
|
||||
},
|
||||
{
|
||||
"direction": "server",
|
||||
"kind": "text",
|
||||
"body": "{\"type\":\"response.output_item.done\",\"item\":{\"id\":\"msg_01cc0cda24c36acf016aa8ca3f17f887d1aa91596ed4fd7a68\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"Recovered.\"}],\"phase\":\"final_answer\",\"role\":\"assistant\"},\"output_index\":1,\"sequence_number\":10}"
|
||||
},
|
||||
{
|
||||
"direction": "server",
|
||||
"kind": "text",
|
||||
"body": "{\"type\":\"response.completed\",\"response\":{\"id\":\"resp_01cc0cda24c36acf016aa8ca3de54c87d1b3f522e8bd2f6982\",\"object\":\"response\",\"created_at\":1789446717,\"status\":\"completed\",\"background\":false,\"completed_at\":1789446719,\"error\":null,\"frequency_penalty\":0.0,\"incomplete_details\":null,\"instructions\":\"Follow the user's exact reply instruction.\",\"max_output_tokens\":30,\"max_tool_calls\":null,\"model\":\"gpt-5.5-2026-04-23\",\"moderation\":null,\"output\":[{\"id\":\"rs_01cc0cda24c36acf016aa8ca3ebf4087d18e71282a5ea4bc04\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqqMo_tTrOofpc1jivBwgDV6YyVCiZNC4DHnW2mXBF8Yaw6kA3-psWdVLAwpZiAYNDSlXLdFZlYfiBGuT7StE00bzH5sXfOz9ioSiCr-GMdJ74UEw_V6OeuRwTEcPHh2ILuKI4o4U0eP1xg7fye14XhnOAEwbd1kkkP2nl6llT-nixDOj7eGVgl4MdVbVnp__XVkio7trNK1EoZO4zc9SN7MRU-EbBxjFJPXZNey3jsv2rNjsfzbI7pEMFAS9OwY9FpX1r-8p1l2MBOeiSPl4eFLBou0ACrfiray-WHQ-d6Mkxzjgx268oLrfqIv_DGLVZOISC09kWUoqXSqqRBKV_IM-0lHqUx5pUUi9l4reUQzH9EynPvIMOHD_FapHVI8--CJp-Bkm8qbBKVclonOXqaZtGQ8N0Dnp-1WwSrt_5dE8-k7aU1gQABgfs1g_EaE09tnjfld64jgTwZrfFP4WxhzyINnTXpPtX8Lwf3Cjlu2_xbu0VEy2i4_s7rZ2IIu7zDN-yakOkiqbe38xT5KX2YRPCeB88pdSM17hjIjbyKDFx1TZbZyTSSGvs9XjyaEDr899CeMjNyMaBfJwhrMdFW5P7H6BlIASKVJhJw27RYW4EuQtslXVFzpzmtRnqebPLtijXT_krg7icWL7a5YAS2q5V-XXmWLSuKJW6wNpp1vdHpxl8ZOWfeNvkKlqO0cd8grYBd_l9Evx4EoF0YSIXXUCWpMIMhJgLEPt8eOW4RBG3aPk83C8FINyReXl3Rq9aVYcEowwKAxIGHyuXRjnx-Di2JqmtaH_G5kpuPkACEhSKjWp7Sv175lWdBpUvGAKDA6GDSHLz5vtJsPDFIyYecAxLyDZ0VYVosaIfW6otisr6sIWuxL4AXoLAD9fiXh6y_s2Gbb-DSQesjF7oJvftcHMxnL2j5gZ6_Z1d03C4UjbqYS9vy2vSOOQ4VR8CX4QhNIXbYeEUhxWdmtWM27zcJ_yCm_H4hmo4QAAv83C64qP9eVZ3Z7g84T-IYz8C-8oM9n8ceitghRZ-G7X6uVUUiOUj1Tmx1uekDrFNEbHg9XeWGMua2z7Y3UUl9iq0r_oJwBxxBY3QEk03Pwulk6cx6LRDoP_30MHV-oLRcHKeWKBjIld4qio5z_xoDZKD2b_KB5i43gfPk8B-vzI9tBmtNLsPKOIsbSyj8Oo9CJv_1sXgU8IoM1uxtPDpg2W8pGL4rkEC\",\"summary\":[]},{\"id\":\"msg_01cc0cda24c36acf016aa8ca3f17f887d1aa91596ed4fd7a68\",\"type\":\"message\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"annotations\":[],\"logprobs\":[],\"text\":\"Recovered.\"}],\"phase\":\"final_answer\",\"role\":\"assistant\"}],\"parallel_tool_calls\":true,\"presence_penalty\":0.0,\"previous_response_id\":null,\"prompt_cache_key\":null,\"prompt_cache_retention\":\"24h\",\"reasoning\":{\"context\":\"current_turn\",\"effort\":\"medium\",\"mode\":\"standard\",\"summary\":\"detailed\"},\"safety_identifier\":null,\"service_tier\":\"default\",\"store\":false,\"temperature\":1.0,\"text\":{\"format\":{\"type\":\"text\"},\"verbosity\":\"low\"},\"tool_choice\":\"auto\",\"tool_usage\":{\"image_gen\":{\"input_tokens\":0,\"input_tokens_details\":{\"image_tokens\":0,\"text_tokens\":0},\"output_tokens\":0,\"output_tokens_details\":{\"image_tokens\":0,\"text_tokens\":0},\"total_tokens\":0},\"web_search\":{\"num_requests\":0}},\"tools\":[],\"top_logprobs\":0,\"top_p\":0.98,\"truncation\":\"disabled\",\"usage\":{\"input_tokens\":40,\"input_tokens_details\":{\"cache_write_tokens\":0,\"cached_tokens\":0},\"output_tokens\":17,\"output_tokens_details\":{\"reasoning_tokens\":9},\"total_tokens\":57},\"user\":null,\"metadata\":{}},\"sequence_number\":11}"
|
||||
"body": "{\"type\":\"response.completed\",\"response\":{\"id\":\"resp_ws_rejection_2\"}}"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
+54
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+28
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+28
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+5
-5
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+5
-5
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Vendored
+5
-11
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Vendored
+6
-13
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File diff suppressed because one or more lines are too long
@@ -121,125 +121,6 @@ describe("provider error classification", () => {
|
||||
).toEqual(["Authentication", "QuotaExceeded", "RateLimit", "InvalidRequest", "ProviderInternal"])
|
||||
})
|
||||
|
||||
test("classifies Azure content filter rejections by their structured codes", () => {
|
||||
const message = "The response was filtered"
|
||||
const azure = {
|
||||
error: {
|
||||
message,
|
||||
type: null,
|
||||
param: "prompt",
|
||||
code: "content_filter",
|
||||
status: 400,
|
||||
innererror: { code: "ResponsibleAIPolicyViolation", content_filter_result: {} },
|
||||
},
|
||||
}
|
||||
const innerOnly = { error: { message, code: null, innererror: { code: "ResponsibleAIPolicyViolation" } } }
|
||||
|
||||
expect(classifyProviderFailure({ message, status: 400, rawBody: JSON.stringify(azure) })._tag).toBe("ContentPolicy")
|
||||
expect(classifyProviderFailure({ message, status: 400, rawBody: JSON.stringify(innerOnly) })._tag).toBe(
|
||||
"ContentPolicy",
|
||||
)
|
||||
})
|
||||
|
||||
test("classifies policy rejections that reuse generic request codes by the provider explanation", () => {
|
||||
const openai = {
|
||||
error: {
|
||||
message:
|
||||
"Invalid prompt: your prompt was flagged as potentially violating our usage policy. Please try again with a different prompt.",
|
||||
type: "invalid_request_error",
|
||||
param: null,
|
||||
code: "invalid_prompt",
|
||||
},
|
||||
}
|
||||
const anthropic = {
|
||||
type: "error",
|
||||
error: { type: "invalid_request_error", message: "Output blocked by content filtering policy" },
|
||||
}
|
||||
|
||||
expect(
|
||||
[openai, anthropic].map(
|
||||
(body) =>
|
||||
classifyProviderFailure({ message: body.error.message, status: 400, rawBody: JSON.stringify(body) })._tag,
|
||||
),
|
||||
).toEqual(["ContentPolicy", "ContentPolicy"])
|
||||
})
|
||||
|
||||
test("classifies OpenRouter typed policy errors across its API skins", () => {
|
||||
const chat = {
|
||||
id: "gen-abc123",
|
||||
object: "chat.completion.chunk",
|
||||
error: {
|
||||
code: 403,
|
||||
message: "Your input was flagged",
|
||||
metadata: { error_type: "content_policy_violation", reasons: ["violence"], flagged_input: "..." },
|
||||
},
|
||||
choices: [{ index: 0, delta: { content: "" }, finish_reason: "error" }],
|
||||
}
|
||||
const responses = {
|
||||
type: "response.failed",
|
||||
response: {
|
||||
id: "resp_abc123",
|
||||
status: "failed",
|
||||
error: { code: "image_content_policy_violation", message: "Your input was flagged" },
|
||||
error_type: "content_policy_violation",
|
||||
},
|
||||
}
|
||||
const messages = {
|
||||
type: "error",
|
||||
error: { type: "invalid_request_error", message: "Claude refused to respond", error_type: "refusal" },
|
||||
}
|
||||
|
||||
expect(
|
||||
[
|
||||
classifyProviderFailure({ message: chat.error.message, status: 403, rawBody: JSON.stringify(chat) }),
|
||||
classifyProviderFailure({ message: responses.response.error.message, rawBody: JSON.stringify(responses) }),
|
||||
classifyProviderFailure({ message: messages.error.message, rawBody: JSON.stringify(messages) }),
|
||||
].map((failure) => failure._tag),
|
||||
).toEqual(["ContentPolicy", "ContentPolicy", "ContentPolicy"])
|
||||
})
|
||||
|
||||
test("recovers policy codes that OpenCode Zen preserves only in its message label", () => {
|
||||
// Zen drops upstream codes outside its allow-list and replaces the type, but
|
||||
// `Protocol.errorMessage` keeps the original code as a `[code]` prefix.
|
||||
const zen = {
|
||||
error: {
|
||||
type: "server_error",
|
||||
message: "Upstream request failed: [content_filter] The response was filtered",
|
||||
},
|
||||
}
|
||||
|
||||
expect(
|
||||
classifyProviderFailure({ message: zen.error.message, status: 400, rawBody: JSON.stringify(zen) })._tag,
|
||||
).toBe("ContentPolicy")
|
||||
})
|
||||
|
||||
test("keeps invalid_prompt schema validation failures as invalid requests", () => {
|
||||
// Bedrock Mantle reports request validation failures under `invalid_prompt`
|
||||
// with a pydantic dump that lists every input union member's fields.
|
||||
const message = [
|
||||
"SubmitRequestFailure: code=-32602, msg=219 validation errors for ResponsesRequest",
|
||||
"input.list[union[EasyInputMessageParam,ResponseComputerToolCallParam]].2.ResponseComputerToolCallParam.pending_safety_checks",
|
||||
" Field required [type=missing, input_value={'content': [...], 'role': 'assistant', 'type': 'message'}, input_type=dict]",
|
||||
].join("\n")
|
||||
const failure = classifyProviderFailure({
|
||||
message,
|
||||
status: 200,
|
||||
rawBody: JSON.stringify({ response: { status: "failed", error: { code: "invalid_prompt", message } } }),
|
||||
})
|
||||
|
||||
expect(failure._tag).toBe("InvalidRequest")
|
||||
})
|
||||
|
||||
test("does not infer content policy from policy phrases outside the provider explanation", () => {
|
||||
const failure = classifyProviderFailure({
|
||||
message: "Provider request failed with HTTP 400",
|
||||
status: 400,
|
||||
rawBody: JSON.stringify({ error: { message: "Unknown parameter: content_policy_id" } }),
|
||||
})
|
||||
|
||||
expect(failure._tag).toBe("InvalidRequest")
|
||||
})
|
||||
|
||||
test("classifies transient client statuses as provider internal", () => {
|
||||
expect([408, 409].map((status) => classifyProviderFailure({ message: `HTTP ${status}`, status })._tag)).toEqual([
|
||||
"ProviderInternal",
|
||||
|
||||
@@ -169,7 +169,7 @@ describe("Amazon Bedrock Mantle provider", () => {
|
||||
summary: [{ type: "summary_text", text: "Considering." }],
|
||||
encrypted_content: "mantle-state",
|
||||
},
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -20,40 +20,33 @@ const deltaChunk = (delta: object, finishReason: string | null = null) => ({
|
||||
})
|
||||
|
||||
describe("Cloudflare", () => {
|
||||
it.effect("selects native AI Gateway protocols by model ID", () =>
|
||||
it.effect("prepares AI Gateway models through the OpenAI-compatible Chat protocol", () =>
|
||||
Effect.gen(function* () {
|
||||
const gateway = CloudflareAIGateway.configure({
|
||||
const model = CloudflareAIGateway.configure({
|
||||
accountId: "test-account",
|
||||
gatewayId: "test-gateway",
|
||||
apiKey: "test-token",
|
||||
})
|
||||
const responses = yield* compileRequest(
|
||||
LLM.request({ model: gateway.model("openai/gpt-5.4"), prompt: "Say hello." }),
|
||||
)
|
||||
const messages = yield* compileRequest(
|
||||
LLM.request({ model: gateway.model("anthropic/claude-haiku-4.5"), prompt: "Say hello." }),
|
||||
)
|
||||
const chat = yield* compileRequest(LLM.request({ model: gateway.model("xai/grok-4.6"), prompt: "Say hello." }))
|
||||
const workers = yield* compileRequest(
|
||||
LLM.request({ model: gateway.model("workers-ai/@cf/meta/llama-3.3-70b-instruct"), prompt: "Say hello." }),
|
||||
)
|
||||
}).model("workers-ai/@cf/meta/llama-3.3-70b-instruct")
|
||||
|
||||
expect(responses.route).toBe("cloudflare-ai-gateway-responses")
|
||||
expect(responses.body).toMatchObject({ model: "openai/gpt-5.4", stream: true })
|
||||
expect(messages.route).toBe("cloudflare-ai-gateway-messages")
|
||||
expect(messages.body).toMatchObject({ model: "anthropic/claude-haiku-4-5" })
|
||||
expect(chat.route).toBe("cloudflare-ai-gateway-chat")
|
||||
expect(chat.body).toMatchObject({ model: "xai/grok-4.6", stream: true })
|
||||
expect(workers.route).toBe("cloudflare-ai-gateway-chat")
|
||||
expect(workers.body).toMatchObject({
|
||||
model: "@cf/meta/llama-3.3-70b-instruct",
|
||||
expect(model).toMatchObject({
|
||||
id: "workers-ai/@cf/meta/llama-3.3-70b-instruct",
|
||||
provider: "cloudflare-ai-gateway",
|
||||
route: { id: "cloudflare-ai-gateway" },
|
||||
})
|
||||
expect(model.route.endpoint.baseURL).toBe("https://gateway.ai.cloudflare.com/v1/test-account/test-gateway/compat")
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
|
||||
|
||||
expect(prepared.route).toBe("cloudflare-ai-gateway")
|
||||
expect(prepared.body).toMatchObject({
|
||||
model: "workers-ai/@cf/meta/llama-3.3-70b-instruct",
|
||||
messages: [{ role: "user", content: "Say hello." }],
|
||||
stream: true,
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("posts to the Cloudflare REST API with gateway options", () =>
|
||||
it.effect("posts to the derived gateway endpoint with bearer auth", () =>
|
||||
Effect.gen(function* () {
|
||||
const response = yield* LLM.generate(
|
||||
LLM.request({
|
||||
@@ -61,12 +54,7 @@ describe("Cloudflare", () => {
|
||||
accountId: "test-account",
|
||||
gatewayId: "test-gateway",
|
||||
apiKey: "test-token",
|
||||
cacheKey: "cache-key",
|
||||
cacheTtl: 300,
|
||||
collectLog: false,
|
||||
metadata: { invoked_by: "test" },
|
||||
skipCache: true,
|
||||
}).model("xai/grok-4.6"),
|
||||
}).model("openai/gpt-4o-mini"),
|
||||
prompt: "Say hello.",
|
||||
}),
|
||||
).pipe(
|
||||
@@ -74,16 +62,12 @@ describe("Cloudflare", () => {
|
||||
dynamicResponse((input) =>
|
||||
Effect.gen(function* () {
|
||||
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
|
||||
expect(web.url).toBe("https://api.cloudflare.com/client/v4/accounts/test-account/ai/v1/chat/completions")
|
||||
expect(web.url).toBe(
|
||||
"https://gateway.ai.cloudflare.com/v1/test-account/test-gateway/compat/chat/completions",
|
||||
)
|
||||
expect(web.headers.get("authorization")).toBe("Bearer test-token")
|
||||
expect(web.headers.get("cf-aig-gateway-id")).toBe("test-gateway")
|
||||
expect(web.headers.get("cf-aig-cache-key")).toBe("cache-key")
|
||||
expect(web.headers.get("cf-aig-cache-ttl")).toBe("300")
|
||||
expect(web.headers.get("cf-aig-collect-log")).toBe("false")
|
||||
expect(web.headers.get("cf-aig-metadata")).toBe('{"invoked_by":"test"}')
|
||||
expect(web.headers.get("cf-aig-skip-cache")).toBe("true")
|
||||
expect(decodeJson(input.text)).toMatchObject({
|
||||
model: "xai/grok-4.6",
|
||||
model: "openai/gpt-4o-mini",
|
||||
stream: true,
|
||||
messages: [{ role: "user", content: "Say hello." }],
|
||||
})
|
||||
@@ -106,7 +90,7 @@ describe("Cloudflare", () => {
|
||||
accountId: "test-account",
|
||||
gatewayId: "test-gateway",
|
||||
apiKey: "test-token",
|
||||
}).model("xai/grok-4.6")
|
||||
}).model("anthropic/claude-sonnet-4.6")
|
||||
const details = [
|
||||
{ type: "reasoning.text", text: "Think", format: "anthropic-claude-v1", index: 0 },
|
||||
{ type: "reasoning.text", text: "ing", format: "anthropic-claude-v1", index: 0 },
|
||||
@@ -153,19 +137,59 @@ describe("Cloudflare", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
test("defaults AI Gateway id to default when omitted or blank", () => {
|
||||
expect(
|
||||
CloudflareAIGateway.configure({
|
||||
accountId: "test-account",
|
||||
gatewayId: "",
|
||||
gatewayApiKey: "test-token",
|
||||
}).model("workers-ai/@cf/meta/llama-3.3-70b-instruct").route.endpoint.baseURL,
|
||||
).toBe("https://gateway.ai.cloudflare.com/v1/test-account/default/compat")
|
||||
})
|
||||
|
||||
it.effect("supports authenticated AI Gateway plus upstream provider auth", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* LLM.generate(
|
||||
LLM.request({
|
||||
model: CloudflareAIGateway.configure({
|
||||
accountId: "test-account",
|
||||
gatewayApiKey: "gateway-token",
|
||||
apiKey: "provider-token",
|
||||
}).model("openai/gpt-4o-mini"),
|
||||
prompt: "Say hello.",
|
||||
}),
|
||||
).pipe(
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.gen(function* () {
|
||||
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
|
||||
expect(web.url).toBe("https://gateway.ai.cloudflare.com/v1/test-account/default/compat/chat/completions")
|
||||
expect(web.headers.get("cf-aig-authorization")).toBe("Bearer gateway-token")
|
||||
expect(web.headers.get("authorization")).toBe("Bearer provider-token")
|
||||
return input.respond(
|
||||
sseEvents(deltaChunk({ role: "assistant", content: "Hello" }), deltaChunk({}, "stop")),
|
||||
{ headers: { "content-type": "text/event-stream" } },
|
||||
)
|
||||
}),
|
||||
),
|
||||
),
|
||||
)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("allows a fully configured baseURL override", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: CloudflareAIGateway.configure({
|
||||
baseURL: "https://gateway.proxy.test/v1",
|
||||
baseURL: "https://gateway.proxy.test/v1/custom/compat",
|
||||
apiKey: "test-token",
|
||||
}).model("xai/grok-4.6"),
|
||||
}).model("openai/gpt-4o-mini"),
|
||||
prompt: "Say hello.",
|
||||
}),
|
||||
)
|
||||
|
||||
expect(prepared.model.route.endpoint.baseURL).toBe("https://gateway.proxy.test/v1")
|
||||
expect(prepared.model.route.endpoint.baseURL).toBe("https://gateway.proxy.test/v1/custom/compat")
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -231,31 +255,25 @@ describe("Cloudflare", () => {
|
||||
|
||||
it.effect("supports direct Workers AI token aliases through auth config", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* Effect.forEach(["CLOUDFLARE_WORKERS_AI_TOKEN", "CLOUDFLARE_API_TOKEN"], (name) =>
|
||||
LLM.generate(
|
||||
LLM.request({
|
||||
model: CloudflareWorkersAI.configure({
|
||||
accountId: "test-account",
|
||||
}).model("@cf/meta/llama-3.1-8b-instruct"),
|
||||
prompt: "Say hello.",
|
||||
}),
|
||||
).pipe(
|
||||
withEnv({
|
||||
CLOUDFLARE_API_KEY: undefined,
|
||||
CLOUDFLARE_WORKERS_AI_TOKEN: name === "CLOUDFLARE_WORKERS_AI_TOKEN" ? "test-token" : undefined,
|
||||
CLOUDFLARE_API_TOKEN: name === "CLOUDFLARE_API_TOKEN" ? "test-token" : undefined,
|
||||
}),
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.gen(function* () {
|
||||
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
|
||||
expect(web.headers.get("authorization")).toBe("Bearer test-token")
|
||||
return input.respond(
|
||||
sseEvents(deltaChunk({ role: "assistant", content: "Hello" }), deltaChunk({}, "stop")),
|
||||
{ headers: { "content-type": "text/event-stream" } },
|
||||
)
|
||||
}),
|
||||
),
|
||||
yield* LLM.generate(
|
||||
LLM.request({
|
||||
model: CloudflareWorkersAI.configure({
|
||||
accountId: "test-account",
|
||||
}).model("@cf/meta/llama-3.1-8b-instruct"),
|
||||
prompt: "Say hello.",
|
||||
}),
|
||||
).pipe(
|
||||
withEnv({ CLOUDFLARE_WORKERS_AI_TOKEN: "test-token" }),
|
||||
Effect.provide(
|
||||
dynamicResponse((input) =>
|
||||
Effect.gen(function* () {
|
||||
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
|
||||
expect(web.headers.get("authorization")).toBe("Bearer test-token")
|
||||
return input.respond(
|
||||
sseEvents(deltaChunk({ role: "assistant", content: "Hello" }), deltaChunk({}, "stop")),
|
||||
{ headers: { "content-type": "text/event-stream" } },
|
||||
)
|
||||
}),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
@@ -22,7 +22,7 @@ it.effect("conversation lowering excludes generation settings and tool definitio
|
||||
model: "fixture",
|
||||
instructions: "Keep the context",
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "hello" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "hello" }] },
|
||||
{ type: "message", role: "assistant", status: "completed", content: [{ type: "output_text", text: "hi" }] },
|
||||
],
|
||||
})
|
||||
|
||||
@@ -32,7 +32,7 @@ testEffect(
|
||||
if (new URL(request.url).pathname.endsWith("/compact")) {
|
||||
expect(JSON.parse(text)).toEqual({
|
||||
model: "overlaid",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "hello" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "hello" }] }],
|
||||
instructions: "request instructions",
|
||||
previous_response_id: "resp_previous",
|
||||
})
|
||||
@@ -253,7 +253,7 @@ for (const overlay of [undefined, { service_tier: "priority", prompt_cache_key:
|
||||
Effect.sync(() => {
|
||||
expect(JSON.parse(text)).toEqual({
|
||||
model: "fixture",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "hello" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "hello" }] }],
|
||||
service_tier: overlay?.service_tier ?? "flex",
|
||||
prompt_cache_key: overlay?.prompt_cache_key ?? "affinity",
|
||||
prompt_cache_retention: "24h",
|
||||
@@ -394,7 +394,7 @@ for (const model of [
|
||||
if (new URL(request.url).pathname.endsWith("/responses/compact")) {
|
||||
expect(body).toEqual({
|
||||
model: model.id,
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "original" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "original" }] }],
|
||||
instructions: "system",
|
||||
})
|
||||
return respond(
|
||||
@@ -407,7 +407,7 @@ for (const model of [
|
||||
)
|
||||
}
|
||||
expect(new URL(request.url).pathname.endsWith("/responses")).toBe(true)
|
||||
expect(body.input).toEqual([...output, { type: "message", role: "user", content: [{ type: "input_text", text: "continue" }] }])
|
||||
expect(body.input).toEqual([...output, { role: "user", content: [{ type: "input_text", text: "continue" }] }])
|
||||
return respond(sseEvents({ type: "response.completed", response: { id: "resp_1", output: [] } }), {
|
||||
headers: { "content-type": "text/event-stream" },
|
||||
})
|
||||
|
||||
@@ -66,7 +66,7 @@ for (const model of [
|
||||
content: [{ type: "output_text", text: `Final ${index}` }],
|
||||
},
|
||||
]),
|
||||
{ type: "message", role: "user", status: "incomplete", content: [{ type: "input_text", text: "Continue" }] },
|
||||
{ role: "user", status: "incomplete", content: [{ type: "input_text", text: "Continue" }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -112,7 +112,7 @@ for (const model of [
|
||||
status: "completed",
|
||||
content: [{ type: "output_text", text: "The next step is" }],
|
||||
},
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Continue" }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -248,23 +248,7 @@ describe("OpenAI Chat route", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("maps the request prompt cache key when the compatibility flag is set", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: OpenAIChat.route
|
||||
.with({ endpoint: { baseURL: "https://api.compatible.test/v1" }, auth: Auth.bearer("test") })
|
||||
.model({ id: "compatible-model", compatibility: { supportsPromptCacheKey: true } }),
|
||||
prompt: "Hello",
|
||||
promptCacheKey: "session_123",
|
||||
}),
|
||||
)
|
||||
|
||||
expect(prepared.body.prompt_cache_key).toBe("session_123")
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("omits the prompt cache key without the compatibility flag", () =>
|
||||
it.effect("maps the request prompt cache key", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
LLM.request({
|
||||
@@ -277,7 +261,7 @@ describe("OpenAI Chat route", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
expect(prepared.body).not.toHaveProperty("prompt_cache_key")
|
||||
expect(prepared.body.prompt_cache_key).toBe("session_123")
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -296,7 +280,7 @@ describe("OpenAI Chat route", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("maps the xAI Chat prompt cache key to conversation affinity header only", () =>
|
||||
it.effect("maps the xAI Chat prompt cache key to conversation affinity", () =>
|
||||
LLMClient.generate(
|
||||
LLM.request({
|
||||
model: XAI.configure({ apiKey: "test", baseURL: "https://api.x.ai/v1" }).chat("grok-4.5"),
|
||||
@@ -310,8 +294,7 @@ describe("OpenAI Chat route", () => {
|
||||
const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
|
||||
expect(web.headers.get("x-grok-conv-id")).toBe("session_123")
|
||||
const body = decodeJson(yield* Effect.promise(() => web.text()))
|
||||
// Chat uses the header; prompt_cache_key is Responses-only.
|
||||
expect(ProviderShared.isRecord(body) ? body.prompt_cache_key : undefined).toBeUndefined()
|
||||
expect(ProviderShared.isRecord(body) ? body.prompt_cache_key : undefined).toBe("session_123")
|
||||
return input.respond(sseEvents(deltaChunk({}, "stop")), {
|
||||
headers: { "content-type": "text/event-stream" },
|
||||
})
|
||||
|
||||
@@ -47,7 +47,7 @@ describe("Open Responses-compatible route", () => {
|
||||
})
|
||||
expect(prepared.body).toEqual({
|
||||
model: "example-model",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
|
||||
instructions: "You are concise.",
|
||||
stream: true,
|
||||
store: false,
|
||||
@@ -89,8 +89,8 @@ describe("Open Responses-compatible route", () => {
|
||||
|
||||
expect(prepared.body.instructions).toBe("Initial instructions.")
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "message", role: "developer", content: "Operator update." },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "developer", content: "Operator update." },
|
||||
{ type: "message", role: "assistant", status: "completed", content: [{ type: "output_text", text: "After." }] },
|
||||
])
|
||||
}),
|
||||
@@ -111,8 +111,8 @@ describe("Open Responses-compatible route", () => {
|
||||
)
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "After." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -143,7 +143,6 @@ describe("Open Responses-compatible route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_file", filename: "input.pdf", file_data: pdf }],
|
||||
},
|
||||
@@ -361,9 +360,9 @@ describe("Open Responses-compatible route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
items[0],
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: JSON.stringify(items[1]) }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: JSON.stringify(items[3]) }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: JSON.stringify(items[1]) }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: JSON.stringify(items[3]) }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -34,13 +34,6 @@ const observationFrame = (observation: ChannelObservation) => {
|
||||
|
||||
const terminal = (observation: ChannelObservation) => observation.type !== "frame"
|
||||
|
||||
// Whether the model emits an encrypted reasoning item ahead of its reply varies
|
||||
// between recordings, so full-context assertions compare the conversation without it.
|
||||
const conversation = (body: unknown) => {
|
||||
const input = (body as { input: ReadonlyArray<{ type?: string }> }).input
|
||||
return input.filter((item) => item.type !== "reasoning")
|
||||
}
|
||||
|
||||
// This channel fixture supports sequential test traffic.
|
||||
const makeChannel = Effect.gen(function* () {
|
||||
const constructor = yield* Socket.WebSocketConstructor
|
||||
@@ -174,12 +167,14 @@ describe("OpenAI Responses WebSocket recorded", () => {
|
||||
expect(second.text).toBe("Beta.")
|
||||
expect(channel.opens()).toBe(2)
|
||||
expect(channel.sent[1]).not.toHaveProperty("previous_response_id")
|
||||
expect(channel.sent[1]).toMatchObject({ instructions: "Follow the user's exact reply instruction." })
|
||||
expect(conversation(channel.sent[1])).toMatchObject([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Reply exactly: Alpha." }] },
|
||||
{ role: "assistant", status: "completed", content: [{ type: "output_text", text: "Alpha." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Reply exactly: Beta." }] },
|
||||
])
|
||||
expect(channel.sent[1]).toMatchObject({
|
||||
instructions: "Follow the user's exact reply instruction.",
|
||||
input: [
|
||||
{ role: "user", content: [{ type: "input_text", text: "Reply exactly: Alpha." }] },
|
||||
{ role: "assistant", status: "completed", content: [{ type: "output_text", text: "Alpha." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Reply exactly: Beta." }] },
|
||||
],
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -209,12 +204,14 @@ describe("OpenAI Responses WebSocket recorded", () => {
|
||||
expect(channel.opens()).toBe(2)
|
||||
expect(channel.sent[1]).toHaveProperty("previous_response_id", expect.any(String))
|
||||
expect(channel.sent[2]).not.toHaveProperty("previous_response_id")
|
||||
expect(channel.sent[2]).toMatchObject({ instructions: "Follow the user's exact reply instruction." })
|
||||
expect(conversation(channel.sent[2])).toMatchObject([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Reply exactly: Ready." }] },
|
||||
{ role: "assistant", status: "completed", content: [{ type: "output_text", text: "Ready." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Reply exactly: Recovered." }] },
|
||||
])
|
||||
expect(channel.sent[2]).toMatchObject({
|
||||
instructions: "Follow the user's exact reply instruction.",
|
||||
input: [
|
||||
{ role: "user", content: [{ type: "input_text", text: "Reply exactly: Ready." }] },
|
||||
{ role: "assistant", status: "completed", content: [{ type: "output_text", text: "Ready." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Reply exactly: Recovered." }] },
|
||||
],
|
||||
})
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { describe, expect } from "bun:test"
|
||||
import { ConfigProvider, Effect, Layer, Logger, Ref, Schema, Stream } from "effect"
|
||||
import { ConfigProvider, Effect, Layer, Ref, Schema, Stream } from "effect"
|
||||
import { Headers, HttpClientRequest } from "effect/unstable/http"
|
||||
import {
|
||||
LLM,
|
||||
@@ -141,7 +141,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
model: "gpt-4.1-mini",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
|
||||
instructions: "You are concise.",
|
||||
store: false,
|
||||
include: ["reasoning.encrypted_content"],
|
||||
@@ -409,8 +409,8 @@ describe("OpenAI Responses route", () => {
|
||||
)
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ type: "message", role: "developer", content: "Operator update." },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Before." }] },
|
||||
{ role: "developer", content: "Operator update." },
|
||||
{ type: "message", role: "assistant", status: "completed", content: [{ type: "output_text", text: "After." }] },
|
||||
])
|
||||
}),
|
||||
@@ -504,7 +504,7 @@ describe("OpenAI Responses route", () => {
|
||||
expect(JSON.parse(sent[0])).toEqual({
|
||||
type: "response.create",
|
||||
model: "gpt-4.1-mini",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
|
||||
store: false,
|
||||
include: ["reasoning.encrypted_content"],
|
||||
})
|
||||
@@ -592,7 +592,7 @@ describe("OpenAI Responses route", () => {
|
||||
type: "response.create",
|
||||
model: "gpt-5.2",
|
||||
store: false,
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Weather?" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Weather?" }] }],
|
||||
}
|
||||
const first = continuationDriver(firstRequest)
|
||||
const firstCreate = yield* first.create(undefined)
|
||||
@@ -642,7 +642,7 @@ describe("OpenAI Responses route", () => {
|
||||
type: "response.create",
|
||||
model: "gpt-5.2",
|
||||
store: false,
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Weather?" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Weather?" }] }],
|
||||
}
|
||||
const first = continuationDriver(firstRequest)
|
||||
const firstCreate = yield* first.create(undefined)
|
||||
@@ -689,7 +689,7 @@ describe("OpenAI Responses route", () => {
|
||||
it.effect("continues a promoted steer after assistant output with response-only text metadata", () =>
|
||||
Effect.forEach([undefined, []], (output) =>
|
||||
Effect.gen(function* () {
|
||||
const firstInput = [{ type: "message", role: "user", content: [{ type: "input_text", text: "First" }] }]
|
||||
const firstInput = [{ role: "user", content: [{ type: "input_text", text: "First" }] }]
|
||||
const first = continuationDriver({ type: "response.create", model: "gpt-5.2", store: false, input: firstInput })
|
||||
const create = yield* first.create(undefined)
|
||||
yield* first.observe(
|
||||
@@ -711,7 +711,7 @@ describe("OpenAI Responses route", () => {
|
||||
ProviderShared.encodeJson({ type: "response.completed", response: { id: "resp_1", output } }),
|
||||
),
|
||||
)
|
||||
const steer = { type: "message", role: "user", content: [{ type: "input_text", text: "Actually, be brief" }] }
|
||||
const steer = { role: "user", content: [{ type: "input_text", text: "Actually, be brief" }] }
|
||||
const next = continuationDriver({
|
||||
type: "response.create",
|
||||
model: "gpt-5.2",
|
||||
@@ -732,7 +732,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("continues streamed reasoning when completion re-encrypts the same item", () =>
|
||||
Effect.gen(function* () {
|
||||
const firstInput = [{ type: "message", role: "user", content: [{ type: "input_text", text: "Think" }] }]
|
||||
const firstInput = [{ role: "user", content: [{ type: "input_text", text: "Think" }] }]
|
||||
const request = { type: "response.create", model: "gpt-5.2", store: false, input: firstInput }
|
||||
const reasoning = {
|
||||
type: "reasoning",
|
||||
@@ -760,11 +760,7 @@ describe("OpenAI Responses route", () => {
|
||||
)
|
||||
const next = continuationDriver({
|
||||
...request,
|
||||
input: [
|
||||
...firstInput,
|
||||
reasoning,
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue" }] },
|
||||
],
|
||||
input: [...firstInput, reasoning, { role: "user", content: [{ type: "input_text", text: "Continue" }] }],
|
||||
})
|
||||
|
||||
const continued = yield* next.create(saved)
|
||||
@@ -772,7 +768,7 @@ describe("OpenAI Responses route", () => {
|
||||
expect(continued.mode).toBe("incremental")
|
||||
expect(ProviderShared.decodeJson(continued.message)).toMatchObject({
|
||||
previous_response_id: "resp_1",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Continue" }] }],
|
||||
})
|
||||
const edited = yield* continuationDriver({
|
||||
...request,
|
||||
@@ -789,7 +785,7 @@ describe("OpenAI Responses route", () => {
|
||||
model: "gpt-5.2",
|
||||
store: false,
|
||||
metadata: { source: "one" },
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "First" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "First" }] }],
|
||||
}
|
||||
const first = continuationDriver(request)
|
||||
const create = yield* first.create(undefined)
|
||||
@@ -799,10 +795,7 @@ describe("OpenAI Responses route", () => {
|
||||
ProviderShared.encodeJson({ type: "response.completed", response: { id: "resp_1" } }),
|
||||
),
|
||||
)
|
||||
const appended = [
|
||||
...request.input,
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Second" }] },
|
||||
]
|
||||
const appended = [...request.input, { role: "user", content: [{ type: "input_text", text: "Second" }] }]
|
||||
const changes = [
|
||||
{ ...request, model: "gpt-5.3", input: appended },
|
||||
{ ...request, instructions: "Changed", input: appended },
|
||||
@@ -811,10 +804,7 @@ describe("OpenAI Responses route", () => {
|
||||
{ ...request, metadata: { source: "two" }, input: appended },
|
||||
{
|
||||
...request,
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Rewritten history" }] },
|
||||
appended[1],
|
||||
],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Rewritten history" }] }, appended[1]],
|
||||
},
|
||||
]
|
||||
|
||||
@@ -898,7 +888,7 @@ describe("OpenAI Responses route", () => {
|
||||
type: "response.create",
|
||||
model: "gpt-5.2",
|
||||
store: false,
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "First" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "First" }] }],
|
||||
}
|
||||
const first = continuationDriver(firstRequest, classifyingChannelDriver)
|
||||
const saved = checkpoint(
|
||||
@@ -910,10 +900,7 @@ describe("OpenAI Responses route", () => {
|
||||
const second = continuationDriver(
|
||||
{
|
||||
...firstRequest,
|
||||
input: [
|
||||
...firstRequest.input,
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Second" }] },
|
||||
],
|
||||
input: [...firstRequest.input, { role: "user", content: [{ type: "input_text", text: "Second" }] }],
|
||||
},
|
||||
classifyingChannelDriver,
|
||||
)
|
||||
@@ -960,14 +947,11 @@ describe("OpenAI Responses route", () => {
|
||||
model: "grok-4.6",
|
||||
store: true,
|
||||
instructions: "You are terse.",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "First" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "First" }] }],
|
||||
}
|
||||
const secondRequest = {
|
||||
...firstRequest,
|
||||
input: [
|
||||
...firstRequest.input,
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Second" }] },
|
||||
],
|
||||
input: [...firstRequest.input, { role: "user", content: [{ type: "input_text", text: "Second" }] }],
|
||||
}
|
||||
const saved = checkpoint(
|
||||
yield* continuationDriver(firstRequest).observe(
|
||||
@@ -987,7 +971,7 @@ describe("OpenAI Responses route", () => {
|
||||
model: "grok-4.6",
|
||||
store: true,
|
||||
previous_response_id: "resp_1",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Second" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Second" }] }],
|
||||
})
|
||||
|
||||
// Declining the continuation sends the step in full and never sends a previous_response_id.
|
||||
@@ -1098,9 +1082,7 @@ describe("OpenAI Responses route", () => {
|
||||
)
|
||||
|
||||
const expected = {
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Say \uFFFDhello \u{1F600}." }] },
|
||||
],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Say \uFFFDhello \u{1F600}." }] }],
|
||||
metadata: { source: "overlay\uFFFD" },
|
||||
}
|
||||
expect(JSON.parse(yield* Ref.get(message))).toMatchObject(expected)
|
||||
@@ -1142,9 +1124,7 @@ describe("OpenAI Responses route", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
// Azure's WebSocket upgrade accepts the same credential header as HTTP: `api-key` for keys,
|
||||
// `Authorization: Bearer` for Entra tokens. Rewriting a key into a bearer is rejected.
|
||||
it.effect("builds Azure WebSocket requests with v1 URLs and the route's auth header", () =>
|
||||
it.effect("builds Azure WebSocket requests with v1 URLs and bearer auth", () =>
|
||||
Effect.gen(function* () {
|
||||
const deps = Layer.succeed(
|
||||
RequestExecutor.Service,
|
||||
@@ -1153,13 +1133,13 @@ describe("OpenAI Responses route", () => {
|
||||
const cases = [
|
||||
{
|
||||
model: Azure.configure({ resourceName: "opencode-test", apiKey: "azure-key" }).responses("deployment"),
|
||||
headers: { "api-key": "azure-key", authorization: undefined },
|
||||
authorization: "Bearer azure-key",
|
||||
},
|
||||
{
|
||||
model: Azure.configure({ resourceName: "opencode-test", auth: Auth.bearer("entra-token") }).responses(
|
||||
"deployment",
|
||||
),
|
||||
headers: { "api-key": undefined, authorization: "Bearer entra-token" },
|
||||
authorization: "Bearer entra-token",
|
||||
},
|
||||
]
|
||||
|
||||
@@ -1170,8 +1150,8 @@ describe("OpenAI Responses route", () => {
|
||||
Effect.gen(function* () {
|
||||
expect(exchange.connect.url).toBe("wss://opencode-test.openai.azure.com/openai/v1/responses")
|
||||
expect(exchange.connect.rotateAfterMs).toBe(55 * 60 * 1000)
|
||||
expect(exchange.connect.headers.authorization).toBe(item.headers.authorization)
|
||||
expect(exchange.connect.headers["api-key"]).toBe(item.headers["api-key"])
|
||||
expect(exchange.connect.headers.authorization).toBe(item.authorization)
|
||||
expect(exchange.connect.headers["api-key"]).toBeUndefined()
|
||||
expect(exchange.connect.headers["openai-beta"]).toBeUndefined()
|
||||
expect(JSON.parse((yield* exchange.driver.create(undefined)).message)).toMatchObject({
|
||||
type: "response.create",
|
||||
@@ -1219,11 +1199,6 @@ describe("OpenAI Responses route", () => {
|
||||
},
|
||||
]
|
||||
|
||||
const warnings: string[] = []
|
||||
const logger = Logger.make((entry) => {
|
||||
if (entry.logLevel !== "Warn") return
|
||||
warnings.push(String(Array.isArray(entry.message) ? entry.message[0] : entry.message))
|
||||
})
|
||||
yield* Effect.forEach(cases, (item) =>
|
||||
LLMClient.generate(LLM.request({ model: item.model, prompt: "Say hello." }), {
|
||||
webSocket: { execute: () => Effect.die("unexpected WebSocket request") },
|
||||
@@ -1239,9 +1214,6 @@ describe("OpenAI Responses route", () => {
|
||||
),
|
||||
),
|
||||
),
|
||||
).pipe(Effect.provide(Logger.layer([logger])))
|
||||
expect(warnings).toEqual(
|
||||
cases.map(() => "Azure OpenAI Responses does not offer WebSocket for this endpoint; using HTTP"),
|
||||
)
|
||||
}),
|
||||
)
|
||||
@@ -1541,7 +1513,7 @@ describe("OpenAI Responses route", () => {
|
||||
expect(prepared.body).toEqual({
|
||||
model: "gpt-4.1-mini",
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "What is the weather?" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "What is the weather?" }] },
|
||||
{ type: "function_call", call_id: "call_1", name: "lookup", arguments: '{"query":"weather"}' },
|
||||
{ type: "function_call_output", call_id: "call_1", output: '{"forecast":"sunny"}' },
|
||||
],
|
||||
@@ -1857,7 +1829,6 @@ describe("OpenAI Responses route", () => {
|
||||
instructions: "You are concise. Continue from the provided history.",
|
||||
input: [
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [
|
||||
{ type: "input_text", text: "What is shown here?" },
|
||||
@@ -1870,16 +1841,11 @@ describe("OpenAI Responses route", () => {
|
||||
summary: [{ type: "summary_text", text: "I inspected the previous turn." }],
|
||||
},
|
||||
{ role: "assistant", content: [{ type: "output_text", text: "It shows a small test image." }] },
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_text", text: "Check the weather in Paris before continuing." }],
|
||||
},
|
||||
{ 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." }] },
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_text", text: "Continue from this conversation in one short sentence." }],
|
||||
},
|
||||
@@ -3388,7 +3354,7 @@ describe("OpenAI Responses route", () => {
|
||||
const body = yield* Effect.promise(() => web.json())
|
||||
expect(body).toMatchObject({
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "What changed?" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "What changed?" }] },
|
||||
{
|
||||
type: "reasoning",
|
||||
id: "rs_1",
|
||||
@@ -3396,7 +3362,7 @@ describe("OpenAI Responses route", () => {
|
||||
summary: [{ type: "summary_text", text: "Checked the previous diff." }],
|
||||
},
|
||||
{ role: "assistant", content: [{ type: "output_text", text: "The parser changed." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
|
||||
],
|
||||
})
|
||||
return input.respond(
|
||||
@@ -3521,7 +3487,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
item,
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -3558,9 +3524,9 @@ describe("OpenAI Responses route", () => {
|
||||
)
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Search." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Search." }] },
|
||||
{ type: "web_search_call", id: "ws_1", status: "completed" },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -3590,8 +3556,8 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
items[0],
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: JSON.stringify(items[1]) }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: JSON.stringify(items[1]) }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -3628,11 +3594,10 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_text", text: '{"type":"web_search_call","id":"ws_1","status":"completed"}' }],
|
||||
},
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Continue." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -3659,7 +3624,6 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_text", text: '{"type":"web_search_call","id":"ws_other","status":"completed"}' }],
|
||||
},
|
||||
@@ -3796,7 +3760,6 @@ describe("OpenAI Responses route", () => {
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "web_search_call", id: "ws_1", status: "completed" },
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_text", text: '{"type":"web_search_call","id":"bad ref","status":"completed"}' }],
|
||||
},
|
||||
@@ -3839,9 +3802,9 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.store).toBe(false)
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Generate a black triangle." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Make it blue." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Generate a black triangle." }] },
|
||||
{ role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Make it blue." }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -3878,7 +3841,7 @@ describe("OpenAI Responses route", () => {
|
||||
)
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{ type: "message", role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] },
|
||||
{ role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -3950,7 +3913,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body).toMatchObject({
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "What changed?" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "What changed?" }] },
|
||||
{
|
||||
type: "reasoning",
|
||||
id: "rs_1",
|
||||
@@ -3958,7 +3921,7 @@ describe("OpenAI Responses route", () => {
|
||||
encrypted_content: null,
|
||||
},
|
||||
{ role: "assistant", content: [{ type: "output_text", text: "The parser changed." }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
|
||||
],
|
||||
store: false,
|
||||
})
|
||||
@@ -4631,20 +4594,8 @@ describe("OpenAI Responses route", () => {
|
||||
compileRequest(LLM.request({ model, messages: [response.message], providerOptions: { store } })),
|
||||
)
|
||||
expect(prepared.map((request) => request.body.input)).toEqual([
|
||||
[
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }],
|
||||
},
|
||||
],
|
||||
[
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }],
|
||||
},
|
||||
],
|
||||
[{ role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] }],
|
||||
[{ role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] }],
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -4678,7 +4629,6 @@ describe("OpenAI Responses route", () => {
|
||||
)
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [{ type: "input_text", text: '{"code":"search_failed","message":"Search unavailable"}' }],
|
||||
},
|
||||
@@ -4762,7 +4712,6 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [
|
||||
{ type: "input_image", image_url: "data:image/png;base64,AAECAw==" },
|
||||
@@ -4795,7 +4744,6 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
@@ -4821,7 +4769,6 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
@@ -4856,7 +4803,6 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
type: "message",
|
||||
role: "user",
|
||||
content: [
|
||||
{ type: "input_image", image_url: "https://example.com/image.png" },
|
||||
|
||||
@@ -193,7 +193,7 @@ describe("xAI Responses route", () => {
|
||||
expect(prepared.body.input).toEqual([
|
||||
items[0],
|
||||
items[1],
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: JSON.stringify(items[2]) }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -252,7 +252,7 @@ describe("xAI Responses route", () => {
|
||||
store: true,
|
||||
include: ["reasoning.encrypted_content"],
|
||||
previous_response_id: "resp_1",
|
||||
input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "Second" }] }],
|
||||
input: [{ role: "user", content: [{ type: "input_text", text: "Second" }] }],
|
||||
})
|
||||
|
||||
// The connection cache only serves stored responses, so the default store: false never chains.
|
||||
@@ -262,8 +262,8 @@ describe("xAI Responses route", () => {
|
||||
instructions: "You are terse.",
|
||||
store: false,
|
||||
input: [
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "First" }] },
|
||||
{ type: "message", role: "user", content: [{ type: "input_text", text: "Second" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "First" }] },
|
||||
{ role: "user", content: [{ type: "input_text", text: "Second" }] },
|
||||
],
|
||||
})
|
||||
expect(JSON.parse(unstored.message).previous_response_id).toBeUndefined()
|
||||
|
||||
@@ -72,8 +72,7 @@ test("renames, exports, and deletes a home session from its context menu", async
|
||||
expect(await container.evaluate((element) => getComputedStyle(element).outlineStyle)).toBe("none")
|
||||
await title.fill("Renamed from Home")
|
||||
const renamed = page.waitForRequest(
|
||||
(request) =>
|
||||
request.method() === "PATCH" && new URL(request.url()).pathname.endsWith(`/session/${fixture.targetID}`),
|
||||
(request) => request.method() === "POST" && new URL(request.url()).pathname.endsWith("/rename"),
|
||||
)
|
||||
await title.press("Enter")
|
||||
expect((await renamed).postDataJSON()).toEqual({ title: "Renamed from Home" })
|
||||
|
||||
@@ -491,8 +491,7 @@ async function openDraft(
|
||||
if (request.method() !== "POST") return
|
||||
const path = new URL(request.url()).pathname
|
||||
if (path === "/api/worktree") {
|
||||
expect(new URL(request.url()).searchParams.has("location[directory]")).toBe(false)
|
||||
expect(request.postDataJSON()).toMatchObject({ projectID })
|
||||
expect(new URL(request.url()).searchParams.get("location[directory]")).toBe(directory)
|
||||
calls.push("worktree")
|
||||
worktreeRequests.push(request.postDataJSON())
|
||||
}
|
||||
|
||||
@@ -1,15 +1,12 @@
|
||||
import { expect, test } from "@playwright/test"
|
||||
import { mockOpenCodeServer } from "../utils/mock-server"
|
||||
import type { OpenCodeEvent } from "@opencode/client/promise"
|
||||
|
||||
const directory = "C:/Projects/settings-demo"
|
||||
const sandboxes = Array.from({ length: 12 }, (_, index) => `${directory}/workspace-${index + 1}`)
|
||||
const events: OpenCodeEvent[] = []
|
||||
|
||||
test.use({ viewport: { width: 1440, height: 1000 }, colorScheme: "dark" })
|
||||
|
||||
test.beforeEach(async ({ page }) => {
|
||||
events.length = 0
|
||||
await mockOpenCodeServer(page, {
|
||||
directory,
|
||||
project: {
|
||||
@@ -43,7 +40,6 @@ test.beforeEach(async ({ page }) => {
|
||||
time: { created: 1700000000000, updated: 1700000000000 },
|
||||
})),
|
||||
pageMessages: () => ({ items: [] }),
|
||||
events: () => events.splice(0),
|
||||
})
|
||||
await page.addInitScript((directory) => {
|
||||
localStorage.setItem(
|
||||
@@ -56,31 +52,6 @@ test.beforeEach(async ({ page }) => {
|
||||
await expect(page.getByTestId("settings-screen").getByRole("tab", { name: "Preferences" })).toBeVisible()
|
||||
})
|
||||
|
||||
test("an inventory event updates the open all-project worktree list", async ({ page }) => {
|
||||
const discovered = `${directory}/discovered-workspace`
|
||||
const inventory = [{ directory }, ...sandboxes.map((directory) => ({ directory, strategy: "git" }))]
|
||||
await page.route(
|
||||
(url) => url.pathname === "/api/worktree",
|
||||
(route) => route.fulfill({ json: inventory }),
|
||||
)
|
||||
const settings = page.getByTestId("settings-screen")
|
||||
await settings.getByRole("tab", { name: "Worktrees", exact: true }).click()
|
||||
await expect(settings.getByText(sandboxes[0], { exact: true })).toBeVisible()
|
||||
const listed = page.waitForResponse(
|
||||
(response) =>
|
||||
new URL(response.url()).pathname === "/api/worktree" && response.request().method() === "GET",
|
||||
)
|
||||
inventory.push({ directory: discovered, strategy: "git" })
|
||||
events.push({
|
||||
id: "evt_settings_worktree_updated",
|
||||
created: Date.now(),
|
||||
type: "worktree.updated",
|
||||
data: { projectID: "proj_settings_demo" },
|
||||
})
|
||||
expect((await listed).ok()).toBe(true)
|
||||
await expect(settings.getByText(discovered, { exact: true })).toBeVisible()
|
||||
})
|
||||
|
||||
test("settings has its own route and returns through app history", async ({ page }) => {
|
||||
const settings = page.getByTestId("settings-screen")
|
||||
const home = page.getByRole("button", { name: "Home", exact: true })
|
||||
@@ -252,7 +223,7 @@ test("workspaces opens without waiting for inventory or sessions", async ({ page
|
||||
const requested = page.waitForRequest(
|
||||
(request) =>
|
||||
new URL(request.url()).pathname === "/api/worktree" &&
|
||||
new URL(request.url()).searchParams.get("projectID") === "proj_settings_demo" &&
|
||||
new URL(request.url()).searchParams.get("location[directory]") === directory &&
|
||||
request.method() === "GET",
|
||||
)
|
||||
await settings.getByRole("tab", { name: "Worktrees", exact: true }).click()
|
||||
@@ -281,7 +252,7 @@ test("workspaces opens without waiting for inventory or sessions", async ({ page
|
||||
refresh.resolve()
|
||||
})
|
||||
|
||||
test("worktree deletion sends the project ID and target without a location", async ({ page }) => {
|
||||
test("worktree deletion sends the project location separately from the target", async ({ page }) => {
|
||||
const removed = new Set<string>()
|
||||
await page.route(
|
||||
(url) => url.pathname === "/api/worktree",
|
||||
@@ -313,8 +284,8 @@ test("worktree deletion sends the project ID and target without a location", asy
|
||||
)
|
||||
await remove.click()
|
||||
const request = await deleting
|
||||
expect(new URL(request.url()).searchParams.has("location[directory]")).toBe(false)
|
||||
expect(request.postDataJSON()).toEqual({ projectID: "proj_settings_demo", directory: sandboxes[0], force: true })
|
||||
expect(new URL(request.url()).searchParams.get("location[directory]")).toBe(directory)
|
||||
expect(request.postDataJSON()).toEqual({ directory: sandboxes[0], force: true })
|
||||
await expect(settings.getByText(sandboxes[0], { exact: true })).toHaveCount(0)
|
||||
await expect(settings.getByText("11 worktrees", { exact: true })).toBeVisible()
|
||||
})
|
||||
|
||||
@@ -98,7 +98,7 @@ for (const theme of ["light", "dark"] as const) {
|
||||
const refreshed = page.waitForResponse(
|
||||
(response) =>
|
||||
new URL(response.url()).pathname === "/api/worktree" &&
|
||||
new URL(response.url()).searchParams.get("projectID") === projectID &&
|
||||
new URL(response.url()).searchParams.get("location[directory]") === root &&
|
||||
response.request().method() === "GET",
|
||||
)
|
||||
view.worktrees.push({ directory: workspace, strategy: "git" })
|
||||
@@ -228,7 +228,7 @@ async function openSession(page: Page, directory: string, worktrees = [...invent
|
||||
const loaded = page.waitForResponse(
|
||||
(response) =>
|
||||
new URL(response.url()).pathname === "/api/worktree" &&
|
||||
new URL(response.url()).searchParams.get("projectID") === projectID &&
|
||||
new URL(response.url()).searchParams.get("location[directory]") === root &&
|
||||
response.request().method() === "GET",
|
||||
)
|
||||
await page.goto(
|
||||
|
||||
@@ -46,7 +46,6 @@ for (const interaction of ["hover", "focus"] as const) {
|
||||
test(`project Worktrees ${interaction} prefetches only its inventory and reuses the request`, async ({ page }) => {
|
||||
const inventory = Promise.withResolvers<void>()
|
||||
const calls: string[] = []
|
||||
const refreshes: string[] = []
|
||||
const sessions: string[] = []
|
||||
await page.route(
|
||||
(url) => url.pathname === "/api/project",
|
||||
@@ -55,14 +54,13 @@ for (const interaction of ["hover", "focus"] as const) {
|
||||
await page.route(
|
||||
(url) => url.pathname === "/api/worktree",
|
||||
async (route) => {
|
||||
calls.push(new URL(route.request().url()).searchParams.get("projectID") ?? "")
|
||||
calls.push(new URL(route.request().url()).searchParams.get("location[directory]") ?? "")
|
||||
await inventory.promise
|
||||
await route.fallback()
|
||||
},
|
||||
)
|
||||
page.on("request", (request) => {
|
||||
const url = new URL(request.url())
|
||||
if (url.pathname === "/api/worktree/refresh") refreshes.push(request.postDataJSON().projectID)
|
||||
if (url.pathname === "/api/session" && url.searchParams.has("directory"))
|
||||
sessions.push(url.searchParams.get("directory")!)
|
||||
})
|
||||
@@ -76,7 +74,7 @@ for (const interaction of ["hover", "focus"] as const) {
|
||||
await worktrees[interaction]()
|
||||
await requested
|
||||
await expect(worktrees).toHaveAttribute("aria-selected", "false")
|
||||
await expect.poll(() => calls).toEqual([project.id])
|
||||
await expect.poll(() => calls).toEqual([directory])
|
||||
expect(sessions).toEqual([])
|
||||
|
||||
if (interaction === "hover") {
|
||||
@@ -92,8 +90,7 @@ for (const interaction of ["hover", "focus"] as const) {
|
||||
inventory.resolve()
|
||||
await expect(settings.getByText("2 worktrees", { exact: true })).toBeVisible()
|
||||
await expect(settings.getByText("Cached worktree session", { exact: true })).toBeVisible()
|
||||
expect(calls).toEqual([project.id])
|
||||
expect(refreshes).toEqual([project.id])
|
||||
expect(calls).toEqual([directory])
|
||||
await expect.poll(() => sessions.toSorted()).toEqual(sandboxes.toSorted())
|
||||
})
|
||||
}
|
||||
@@ -116,11 +113,7 @@ for (const nested of [false, true]) {
|
||||
await page.reload()
|
||||
await page.getByTestId("settings-screen").getByRole("tab", { name: "Settings server", exact: true }).click()
|
||||
}
|
||||
const calls = { projects: 0, worktrees: [] as string[], refreshes: [] as string[] }
|
||||
page.on("request", (request) => {
|
||||
if (new URL(request.url()).pathname === "/api/worktree/refresh")
|
||||
calls.refreshes.push(request.postDataJSON().projectID)
|
||||
})
|
||||
const calls = { projects: 0, worktrees: [] as string[] }
|
||||
await page.route(
|
||||
(url) => url.pathname === "/api/project",
|
||||
async (route) => {
|
||||
@@ -131,9 +124,9 @@ for (const nested of [false, true]) {
|
||||
await page.route(
|
||||
(url) => url.pathname === "/api/worktree",
|
||||
async (route) => {
|
||||
const requested = new URL(route.request().url()).searchParams.get("projectID") ?? ""
|
||||
const requested = new URL(route.request().url()).searchParams.get("location[directory]") ?? ""
|
||||
calls.worktrees.push(requested)
|
||||
if (requested === other.id) return route.fulfill({ json: [{ directory: other.canonical }] })
|
||||
if (requested === other.canonical) return route.fulfill({ json: [{ directory: other.canonical }] })
|
||||
await route.fallback()
|
||||
},
|
||||
)
|
||||
@@ -148,13 +141,12 @@ for (const nested of [false, true]) {
|
||||
await fetched
|
||||
await worktrees.focus()
|
||||
await expect(worktrees).toHaveAttribute("aria-selected", "false")
|
||||
expect(calls).toEqual({ projects: 1, worktrees: [], refreshes: [] })
|
||||
expect(calls).toEqual({ projects: 1, worktrees: [] })
|
||||
|
||||
await worktrees.click()
|
||||
await expect(settings.getByText("2 worktrees", { exact: true })).toBeVisible()
|
||||
expect(calls.projects).toBe(1)
|
||||
expect(calls.worktrees.toSorted()).toEqual([project.id, other.id].toSorted())
|
||||
expect(calls.refreshes).toEqual([])
|
||||
expect(calls.worktrees.toSorted()).toEqual([directory, other.canonical].toSorted())
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
import { Schema, SchemaGetter } from "effect"
|
||||
import { HttpApi, HttpApiEndpoint, HttpApiGroup, HttpApiSchema } from "effect/unstable/httpapi"
|
||||
import { Worktree } from "@opencode/schema/worktree"
|
||||
|
||||
const Json = Schema.Json.pipe(
|
||||
Schema.decodeTo(Schema.Unknown, {
|
||||
@@ -88,25 +87,22 @@ const Group = HttpApiGroup.make("mock")
|
||||
.add(HttpApiEndpoint.get("websearchProviders", "/api/websearch/provider", { success: Json }))
|
||||
.add(
|
||||
HttpApiEndpoint.get("worktreeList", "/api/worktree", {
|
||||
query: Schema.Struct({ projectID: Schema.String }),
|
||||
success: Json,
|
||||
}),
|
||||
)
|
||||
.add(
|
||||
HttpApiEndpoint.post("worktreeCreate", "/api/worktree", {
|
||||
payload: Worktree.CreateInput,
|
||||
payload: JsonPayload,
|
||||
success: Json,
|
||||
}),
|
||||
)
|
||||
.add(
|
||||
HttpApiEndpoint.delete("worktreeRemove", "/api/worktree", {
|
||||
payload: Worktree.RemoveInput,
|
||||
success: NoContent,
|
||||
}),
|
||||
)
|
||||
.add(
|
||||
HttpApiEndpoint.post("worktreeRefresh", "/api/worktree/refresh", {
|
||||
payload: Schema.Struct({ projectID: Schema.String }),
|
||||
success: NoContent,
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -297,7 +297,7 @@ function mockHandlers(config: MockServerConfig, state: { cursors: Map<string, st
|
||||
})),
|
||||
]),
|
||||
worktreeCreate: (ctx) => {
|
||||
const input = ctx.payload
|
||||
const input = record(ctx.payload) ? ctx.payload : {}
|
||||
return Effect.succeed({
|
||||
directory: `${typeof input.directory === "string" ? input.directory : config.directory}/${
|
||||
typeof input.name === "string" ? input.name : "copy"
|
||||
|
||||
@@ -140,7 +140,7 @@ describe("Composer submission", () => {
|
||||
await committed.promise
|
||||
},
|
||||
command: async (request) => {
|
||||
expect(request).toMatchObject({ name: "review", text: "changes", delivery: "steer" })
|
||||
expect(request).toMatchObject({ command: "review", text: "changes", delivery: "steer" })
|
||||
expect(request).not.toHaveProperty("model")
|
||||
expect(request).not.toHaveProperty("agent")
|
||||
calls.push("command")
|
||||
|
||||
@@ -39,7 +39,8 @@ export function createHomeController() {
|
||||
const id = selectedProject()?.id
|
||||
if (!ctx || !id || ctx.sdk.connection.status() !== "connected") return
|
||||
// Selecting a project is the demand for its worktree inventory: the session filter spans its worktrees.
|
||||
void ctx.sync.worktrees.list(id).then(() => ctx.sync.worktrees.refresh(id))
|
||||
const root = ctx.sync.data.project.find((project) => project.id === id)?.worktree
|
||||
if (root) void ctx.sync.worktrees.load(root)
|
||||
})
|
||||
|
||||
function setSelection(next: HomeProjectSelection) {
|
||||
|
||||
@@ -67,13 +67,12 @@ export function createNewSessionWorkspaceController(input: {
|
||||
const [worktrees, worktreeActions] = createResource(worktreeSource, async (source) => ({
|
||||
projectID: source.projectID,
|
||||
items: await serverSDK.api.worktree
|
||||
.list({ projectID: source.projectID })
|
||||
.list({ location: { directory: source.directory } })
|
||||
.catch(() => (currentProject()?.id === source.projectID ? currentProject()?.worktrees : undefined) ?? []),
|
||||
}))
|
||||
onCleanup(
|
||||
serverSDK.event.listen((event) => {
|
||||
if (event.type === "worktree.updated" && event.data.projectID === currentProject()?.id)
|
||||
void worktreeActions.refetch()
|
||||
if (event.type === "worktree.updated") void worktreeActions.refetch()
|
||||
}),
|
||||
)
|
||||
// `latest` only skips Suspense once the resource has resolved at least once. Before that it
|
||||
|
||||
@@ -283,6 +283,7 @@ export const DESKTOP_NATIVE_ENGLISH = {
|
||||
"desktop.updater.dialog.ready.title": "Update Ready",
|
||||
"desktop.updater.dialog.restart": "Restart",
|
||||
"desktop.updater.dialog.later": "Later",
|
||||
|
||||
"desktop.cli.installed.title": "CLI Installed",
|
||||
"desktop.cli.installed.message": "CLI installed to {{path}}\n\nRestart your terminal to use the 'opencode' command.",
|
||||
"desktop.cli.failed.title": "Installation Failed",
|
||||
|
||||
@@ -773,8 +773,8 @@ export const dict = {
|
||||
"session.queue.steerTooltip": "Send without interrupting",
|
||||
"session.queue.remove": "Remove",
|
||||
"session.queue.reorder": "Reorder queued prompt",
|
||||
"session.queue.attachments.one": "{{count}} attachment",
|
||||
"session.queue.attachments.other": "{{count}} attachments",
|
||||
"session.queue.attachments.one": "Plus {{count}} attachment",
|
||||
"session.queue.attachments.other": "Plus {{count}} attachments",
|
||||
"session.timeline.working": "Working",
|
||||
"session.timeline.notice.finished": "{{actor}} finished",
|
||||
"session.timeline.notice.failed": "{{actor}} failed",
|
||||
@@ -1226,10 +1226,6 @@ export const dict = {
|
||||
"settings.updates.action.checkNow": "Check now",
|
||||
"settings.updates.action.checking": "Checking…",
|
||||
"settings.updates.action.downloading": "Downloading…",
|
||||
"settings.updates.action.download": "Download OpenCode",
|
||||
"settings.updates.migration.title": "Move from Beta to Stable",
|
||||
"settings.updates.migration.description":
|
||||
"For now, OpenCode Beta is moving to OpenCode Stable. Download version {{version}}, then install OpenCode from the disk image to continue receiving updates.",
|
||||
"settings.updates.action.installing": "Installing…",
|
||||
"settings.updates.toast.latest.title": "You're up to date",
|
||||
"settings.updates.toast.latest.description": "You're running the latest version of OpenCode.",
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user