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chore(ai): format package with prettier (#45280)

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This commit is contained in:
Aiden Cline
2026-08-26 09:24:13 -05:00
committed by GitHub
parent 6c6871fd2a
commit 37a6ba893e
30 changed files with 154 additions and 205 deletions
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packages/ai/src/cache-policy.ts
+6 -1
View File
@@ -36,7 +36,12 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
// Protocols whose wire format ignores inline cache markers (OpenAI's implicit
// prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
// whole policy pass for these — emitting hints would be harmless but pointless.
const RESPECTS_INLINE_HINTS = new Set(["anthropic-messages", "google-vertex-messages", "bedrock-converse", "openrouter"])
const RESPECTS_INLINE_HINTS = new Set([
"anthropic-messages",
"google-vertex-messages",
"bedrock-converse",
"openrouter",
])
const makeHint = (ttlSeconds: number | undefined): CacheHint =>
ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })
packages/ai/src/protocols/anthropic-messages.ts
+35 -23
View File
@@ -69,14 +69,22 @@ export interface OptionsInput {
// SDK Metadata:2649 {user_id?: string | null}
readonly metadata?: { readonly user_id?: string | null }
// SDK MessageCreateParamsContainer:2596 ContainerParams|string
readonly container?: string | { readonly id?: string | null; readonly skills?: ReadonlyArray<Record<string, unknown>> | null }
readonly container?:
| string
| { readonly id?: string | null; readonly skills?: ReadonlyArray<Record<string, unknown>> | null }
readonly inference_geo?: string | null
readonly inferenceGeo?: string | null
readonly cache_control?: { readonly type: "ephemeral"; readonly ttl?: "5m" | "1h" }
readonly cacheControl?: { readonly type: "ephemeral"; readonly ttl?: "5m" | "1h" }
// SDK OutputConfig:2684 {effort, format: JSONOutputFormat}
readonly output_config?: { readonly effort?: string | null; readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null }
readonly outputConfig?: { readonly effort?: string | null; readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null }
readonly output_config?: {
readonly effort?: string | null
readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null
}
readonly outputConfig?: {
readonly effort?: string | null
readonly format?: { readonly type: "json_schema"; readonly schema: Record<string, unknown> } | null
}
}
export type ProviderOptionsInput = OptionsInput
@@ -259,7 +267,11 @@ const AnthropicToolChoice = Schema.Union([
type: Schema.Literals(["auto", "any", "none"]),
disable_parallel_tool_use: Schema.optional(Schema.Boolean),
}),
Schema.Struct({ type: Schema.tag("tool"), name: Schema.String, disable_parallel_tool_use: Schema.optional(Schema.Boolean) }),
Schema.Struct({
type: Schema.tag("tool"),
name: Schema.String,
disable_parallel_tool_use: Schema.optional(Schema.Boolean),
}),
])
const AnthropicThinking = Schema.Union([
@@ -506,7 +518,11 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
// Prefer the provider-owned replay payload; fall back to the result value for
// histories constructed directly from provider events.
const payload = part.providerMetadata?.anthropic?.["result"] ?? part.result.value
return { type: wireType, tool_use_id: scrubToolCallID(part.id), content: payload } satisfies AnthropicServerToolResultBlock
return {
type: wireType,
tool_use_id: scrubToolCallID(part.id),
content: payload,
} satisfies AnthropicServerToolResultBlock
})
const fileIdFromMetadata = (metadata: MediaPart["metadata"]): string | undefined => {
@@ -554,9 +570,7 @@ const documentContextFromMetadata = (metadata: MediaPart["metadata"]): string |
return undefined
}
const citationsFromMetadata = (
metadata: MediaPart["metadata"],
): AnthropicDocumentBlock["citations"] | undefined => {
const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocumentBlock["citations"] | undefined => {
if (!ProviderShared.isRecord(metadata)) return undefined
const raw = ProviderShared.isRecord(metadata.anthropic)
? (metadata.anthropic.citations ?? metadata.citations)
@@ -706,8 +720,7 @@ const lowerToolResultContent = Effect.fnUntraced(function* (part: ToolResultPart
})
const requireThinkingSignature = (request: LLMRequest) => {
if (request.model.compatibility?.requireSignature !== undefined)
return request.model.compatibility.requireSignature
if (request.model.compatibility?.requireSignature !== undefined) return request.model.compatibility.requireSignature
const provider = request.model.provider.toLowerCase()
const model = request.model.id.toLowerCase()
const baseURL = (request.model.route.endpoint.baseURL ?? "").toLowerCase()
@@ -900,21 +913,24 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
const resolveOptions = Effect.fn("AnthropicMessages.resolveOptions")(function* (request: LLMRequest) {
const input = request.providerOptions as Record<string, unknown> | undefined
const rawServiceTier = (input as Record<string, unknown> | undefined)?.service_tier ?? (input as Record<string, unknown> | undefined)?.serviceTier
const rawServiceTier =
(input as Record<string, unknown> | undefined)?.service_tier ??
(input as Record<string, unknown> | undefined)?.serviceTier
const service_tier =
rawServiceTier === "auto" || rawServiceTier === "standard_only"
? (rawServiceTier as "auto" | "standard_only")
: undefined
const rawMetadata = (input as Record<string, unknown> | undefined)?.metadata
const metadata =
ProviderShared.isRecord(rawMetadata) &&
(typeof rawMetadata.user_id === "string" || rawMetadata.user_id === null)
ProviderShared.isRecord(rawMetadata) && (typeof rawMetadata.user_id === "string" || rawMetadata.user_id === null)
? { user_id: rawMetadata.user_id as string | null }
: undefined
const container =
typeof (input as Record<string, unknown> | undefined)?.container === "string" ||
ProviderShared.isRecord((input as Record<string, unknown> | undefined)?.container)
? ((input as Record<string, unknown>).container as string | { id?: string | null; skills?: ReadonlyArray<Record<string, unknown>> | null })
? ((input as Record<string, unknown>).container as
| string
| { id?: string | null; skills?: ReadonlyArray<Record<string, unknown>> | null })
: undefined
const rawInferenceGeo =
(input as Record<string, unknown> | undefined)?.inference_geo ??
@@ -965,8 +981,7 @@ const resolveThinking = Effect.fn("AnthropicMessages.resolveThinking")(function*
input.display === "summarized" || input.display === "omitted"
? (input.display as "summarized" | "omitted")
: undefined
if (input.type === "adaptive")
return { type: "adaptive" as const, ...(display === undefined ? {} : { display }) }
if (input.type === "adaptive") return { type: "adaptive" as const, ...(display === undefined ? {} : { display }) }
if (input.type === "disabled") return { type: "disabled" as const }
if (input.type !== "enabled") return undefined
const budget =
@@ -1418,9 +1433,7 @@ const step = (state: ParserState, event: AnthropicEvent) => {
if (event.index === undefined)
return Effect.fail(ProviderShared.eventError(ADAPTER, `Anthropic ${block.type} missing index`))
if (!block.id)
return Effect.fail(
ProviderShared.eventError(ADAPTER, `Anthropic tool_use missing id at index ${event.index}`),
)
return Effect.fail(ProviderShared.eventError(ADAPTER, `Anthropic tool_use missing id at index ${event.index}`))
}
return Effect.succeed(onContentBlockStart(state, { ...event, content_block: block }))
}
@@ -1473,10 +1486,9 @@ export const route = Route.make({
provider: "anthropic",
providerMetadataKey: "anthropic",
protocol,
endpoint: Endpoint.path(
(input) => (input.request.model.provider === "anthropic" ? `${PATH}?beta=true` : PATH),
{ baseURL: DEFAULT_BASE_URL },
),
endpoint: Endpoint.path((input) => (input.request.model.provider === "anthropic" ? `${PATH}?beta=true` : PATH), {
baseURL: DEFAULT_BASE_URL,
}),
auth: Auth.none,
framing,
headers: () => ({ "anthropic-version": "2023-06-01" }),
packages/ai/src/protocols/bedrock-converse.ts
+3 -1
View File
@@ -652,7 +652,9 @@ const step = (state: ParserState, event: BedrockEvent) =>
method: "stream",
reason: classifyProviderFailure({
message:
event.exception.details.message ?? event.exception.details.originalMessage ?? "Bedrock Converse stream error",
event.exception.details.message ??
event.exception.details.originalMessage ??
"Bedrock Converse stream error",
code: event.exception.type,
}),
})
packages/ai/src/protocols/bedrock-event-stream.ts
+3 -1
View File
@@ -82,7 +82,9 @@ const consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8A
"Failed to parse Bedrock Converse event-stream payload",
)) as Record<string, unknown>
delete parsed.p
out.push(messageType === "exception" ? { exception: { type: eventType, details: parsed } } : { [eventType]: parsed })
out.push(
messageType === "exception" ? { exception: { type: eventType, details: parsed } } : { [eventType]: parsed },
)
}
return [cursor, out] as const
})
packages/ai/src/protocols/gemini.ts
+9 -3
View File
@@ -570,7 +570,12 @@ const finish = (state: ParserState): ReadonlyArray<LLMEvent> => {
googleMetadata({ thoughtSignature: state.reasoningSignature }),
)
if (state.textSignature !== undefined)
lifecycle = Lifecycle.textEnd(lifecycle, events, "text-0", googleMetadata({ thoughtSignature: state.textSignature }))
lifecycle = Lifecycle.textEnd(
lifecycle,
events,
"text-0",
googleMetadata({ thoughtSignature: state.textSignature }),
)
Lifecycle.finish(lifecycle, events, {
reason: {
normalized:
@@ -675,8 +680,9 @@ const step = (state: ParserState, event: GeminiEvent) => {
id,
name: part.functionCall.name,
input,
providerMetadata:
part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,
providerMetadata: part.thoughtSignature
? googleMetadata({ thoughtSignature: part.thoughtSignature })
: undefined,
}),
)
hasToolCalls = true
packages/ai/src/protocols/openai-chat.ts
+31 -25
View File
@@ -496,7 +496,11 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
const lowering = {
...options,
toolCallID: (id: string) => {
if (mistral) return id.replace(/[^a-zA-Z0-9]/g, "").slice(0, 9).padEnd(9, "0")
if (mistral)
return id
.replace(/[^a-zA-Z0-9]/g, "")
.slice(0, 9)
.padEnd(9, "0")
if (modelID.includes("claude")) return id.replace(/[^a-zA-Z0-9_-]/g, "_")
if (request.model.provider === "openai" || request.model.provider === "azure" || modelID.startsWith("openai/"))
return id.slice(0, 40)
@@ -505,7 +509,8 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
}
const requireAssistantAfterTool = request.model.compatibility?.requireAssistantAfterTool ?? mistral
const bridgeTools = () => {
if (requireAssistantAfterTool && messages.at(-1)?.role === "tool") messages.push({ role: "assistant", content: "Done." })
if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
messages.push({ role: "assistant", content: "Done." })
}
const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
const flushImages = () => {
@@ -557,7 +562,10 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
)
continue
}
if (message.role === "assistant" && message.content.every((part) => part.type === "text" && part.text.trim() === ""))
if (
message.role === "assistant" &&
message.content.every((part) => part.type === "text" && part.text.trim() === "")
)
continue
if (message.role === "tool") {
const lowered = yield* lowerToolMessages(message, lowering)
@@ -588,7 +596,10 @@ const hasToolHistory = (messages: ReadonlyArray<LLMRequest["messages"][number]>)
// models.dev provider naming: DeepSeek, Moonshot AI, Together AI, ZAI
// (Zhipu + Coding Plan variants), Nvidia, Cerebras, Chutes, etc. still
// require `max_tokens`.
const detectMaxTokensField = (provider: string, baseURL: string | undefined): "max_tokens" | "max_completion_tokens" => {
const detectMaxTokensField = (
provider: string,
baseURL: string | undefined,
): "max_tokens" | "max_completion_tokens" => {
const p = provider.toLowerCase()
const url = (baseURL ?? "").toLowerCase()
if (
@@ -638,7 +649,8 @@ const detectSupportsStore = (provider: string, baseURL: string | undefined): boo
const isChutes = p === "chutes" || url.includes("chutes.ai")
const isCloudflareWorkersAI = p === "cloudflare-workers-ai" || url.includes("api.cloudflare.com")
const isCloudflareAiGateway = p === "cloudflare-ai-gateway" || url.includes("gateway.ai.cloudflare.com")
const isVercelAiGateway = p === "vercel-ai-gateway" || url.includes("ai-gateway.vercel.sh") || url.includes("vercel.sh")
const isVercelAiGateway =
p === "vercel-ai-gateway" || url.includes("ai-gateway.vercel.sh") || url.includes("vercel.sh")
const isAntLing = p === "ant-ling" || url.includes("api.ant-ling.com")
const isOpencode = p === "opencode" || url.includes("opencode.ai")
const isNonStandard =
@@ -670,11 +682,7 @@ const detectSupportsStrictMode = (provider: string, baseURL: string | undefined)
return !isMoonshot && !isTogether && !isCloudflareAiGateway && !isNvidia
}
const detectZaiToolStream = (
provider: string,
baseURL: string | undefined,
modelID: string,
): boolean => {
const detectZaiToolStream = (provider: string, baseURL: string | undefined, modelID: string): boolean => {
const p = provider.toLowerCase()
const url = (baseURL ?? "").toLowerCase()
const isZai =
@@ -724,10 +732,10 @@ export const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (
const supportsStore = request.model.compatibility?.supportsStore ?? detectSupportsStore(provider, baseURL)
const supportsUsageInStreaming =
request.model.compatibility?.supportsUsageInStreaming ?? detectSupportsUsageInStreaming()
const supportsStrictMode = request.model.compatibility?.supportsStrictMode ?? detectSupportsStrictMode(provider, baseURL)
const supportsStrictMode =
request.model.compatibility?.supportsStrictMode ?? detectSupportsStrictMode(provider, baseURL)
const zaiToolStream =
request.model.compatibility?.zaiToolStream ??
detectZaiToolStream(provider, baseURL, request.model.id)
request.model.compatibility?.zaiToolStream ?? detectZaiToolStream(provider, baseURL, request.model.id)
const hasHistory = hasToolHistory(request.messages)
const hasActiveTools = request.tools.length > 0
return {
@@ -816,11 +824,10 @@ const mapUsage = (usage: OpenAIChatEvent["usage"]): Usage | undefined => {
if (!usage) return undefined
const input = usage.prompt_tokens ?? undefined
const output = usage.completion_tokens ?? undefined
const cached =
(usage.prompt_tokens_details?.cached_tokens ??
(usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
(usage as { cached_tokens?: number | null }).cached_tokens ??
undefined) as number | undefined
const cached = (usage.prompt_tokens_details?.cached_tokens ??
(usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
(usage as { cached_tokens?: number | null }).cached_tokens ??
undefined) as number | undefined
const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
@@ -936,13 +943,12 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
const choiceUsage = (choice as unknown as { usage?: OpenAIChatEvent["usage"] })?.usage
const usage = mapUsage(event.usage) ?? (choiceUsage ? mapUsage(choiceUsage) : undefined) ?? state.usage
const rawFinishReason = choice?.finish_reason
const finishReason =
rawFinishReason
? {
normalized: yield* mapFinishReason(event, rawFinishReason),
raw: choice?.native_finish_reason ?? rawFinishReason,
}
: state.finishReason
const finishReason = rawFinishReason
? {
normalized: yield* mapFinishReason(event, rawFinishReason),
raw: choice?.native_finish_reason ?? rawFinishReason,
}
: state.finishReason
const delta = choice?.delta
const toolDeltas = delta?.tool_calls ?? []
let tools = state.tools
packages/ai/src/protocols/utils/open-responses-options.ts
+3 -4
View File
@@ -29,10 +29,9 @@ export type ResponseIncludable = (typeof ResponseIncludables)[number] | (string
export const ServiceTiers = ["auto", "default", "flex", "priority"] as const
export type ServiceTier = (typeof ServiceTiers)[number] | (string & {})
export const ServiceTier = Schema.declare<ServiceTier>(
(value): value is ServiceTier => typeof value === "string",
{ title: "ServiceTier" },
)
export const ServiceTier = Schema.declare<ServiceTier>((value): value is ServiceTier => typeof value === "string", {
title: "ServiceTier",
})
export const Truncations = ["auto", "disabled"] as const
export type Truncation = (typeof Truncations)[number]
packages/ai/src/protocols/utils/responses-hosted-tools.ts
+30 -32
View File
@@ -34,37 +34,35 @@ export const onDone: (
state: OpenResponses.ParserState,
item: Item,
tools: Definitions,
) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(function* (
state,
item,
tools,
) {
const tool = tools[item.type]
if (!tool) return [state, []] satisfies OpenResponses.StepResult
const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })
const events: LLMEvent[] = []
const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
events.push(
LLMEvent.toolCall({
id: item.id,
name: tool.name,
input: tool.input(item),
providerExecuted: true,
providerMetadata,
}),
LLMEvent.toolResult({
id: item.id,
name: tool.name,
result: tool.result
? yield* tool.result(item)
: item.error !== undefined && item.error !== null
? { type: "error", value: item.error }
: { type: "json", value: item },
providerExecuted: true,
providerMetadata,
}),
)
return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult
})
) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(
function* (state, item, tools) {
const tool = tools[item.type]
if (!tool) return [state, []] satisfies OpenResponses.StepResult
const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })
const events: LLMEvent[] = []
const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
events.push(
LLMEvent.toolCall({
id: item.id,
name: tool.name,
input: tool.input(item),
providerExecuted: true,
providerMetadata,
}),
LLMEvent.toolResult({
id: item.id,
name: tool.name,
result: tool.result
? yield* tool.result(item)
: item.error !== undefined && item.error !== null
? { type: "error", value: item.error }
: { type: "json", value: item },
providerExecuted: true,
providerMetadata,
}),
)
return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult
},
)
export * as ResponsesHostedTools from "./responses-hosted-tools.js"
packages/ai/src/route/client.ts
+1 -3
View File
@@ -339,9 +339,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
return onHalt
? parsed.pipe(
Stream.concat(
Stream.suspend(() =>
Stream.unwrap(onHalt(state).pipe(Effect.map(Stream.fromIterable))),
),
Stream.suspend(() => Stream.unwrap(onHalt(state).pipe(Effect.map(Stream.fromIterable)))),
),
)
: parsed
packages/ai/test/fixtures/recordings/azure/chat-streams-text.json
Vendored
+1 -4
View File
@@ -1,10 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:azure",
"provider:azure"
],
"tags": ["prefix:azure", "provider:azure"],
"name": "azure/chat-streams-text",
"recordedAt": "2026-08-23T17:21:53.198Z"
},
packages/ai/test/fixtures/recordings/azure/responses-calls-a-tool.json
Vendored
+1 -4
View File
@@ -1,10 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:azure",
"provider:azure"
],
"tags": ["prefix:azure", "provider:azure"],
"name": "azure/responses-calls-a-tool",
"recordedAt": "2026-08-23T17:21:55.170Z"
},
packages/ai/test/fixtures/recordings/azure/responses-continues-after-a-tool-result.json
Vendored
+1 -4
View File
@@ -1,10 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:azure",
"provider:azure"
],
"tags": ["prefix:azure", "provider:azure"],
"name": "azure/responses-continues-after-a-tool-result",
"recordedAt": "2026-08-23T17:21:56.397Z"
},
packages/ai/test/fixtures/recordings/azure/responses-streams-text.json
Vendored
+1 -4
View File
@@ -1,10 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:azure",
"provider:azure"
],
"tags": ["prefix:azure", "provider:azure"],
"name": "azure/responses-streams-text",
"recordedAt": "2026-08-23T17:21:54.158Z"
},
packages/ai/test/fixtures/recordings/bedrock-mantle/streams-text.json
Vendored
+1 -5
View File
@@ -2,11 +2,7 @@
"version": 1,
"metadata": {
"model": "openai.gpt-oss-120b",
"tags": [
"prefix:bedrock-mantle",
"provider:amazon-bedrock",
"protocol:openai-responses"
],
"tags": ["prefix:bedrock-mantle", "provider:amazon-bedrock", "protocol:openai-responses"],
"name": "bedrock-mantle/streams-text",
"recordedAt": "2026-08-25T03:29:02.968Z"
},
packages/ai/test/fixtures/recordings/cloudflare-workers-ai/cloudflare-workers-ai-gpt-oss-20b-tools-tool-call.json
Vendored
+2 -8
View File
@@ -7,13 +7,7 @@
"route": "cloudflare-workers-ai",
"transport": "http",
"model": "@cf/openai/gpt-oss-20b",
"tags": [
"prefix:cloudflare-workers-ai",
"provider:cloudflare-workers-ai",
"tool",
"tool-call",
"golden"
]
"tags": ["prefix:cloudflare-workers-ai", "provider:cloudflare-workers-ai", "tool", "tool-call", "golden"]
},
"interactions": [
{
@@ -35,4 +29,4 @@
}
}
]
}
}
packages/ai/test/fixtures/recordings/google-vertex/calls-a-tool.json
Vendored
+1 -5
View File
@@ -1,11 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:google-vertex",
"provider:google-vertex",
"protocol:gemini"
],
"tags": ["prefix:google-vertex", "provider:google-vertex", "protocol:gemini"],
"name": "google-vertex/calls-a-tool",
"recordedAt": "2026-08-23T17:21:51.036Z"
},
packages/ai/test/fixtures/recordings/google-vertex/continues-after-a-tool-result.json
Vendored
+1 -5
View File
@@ -1,11 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:google-vertex",
"provider:google-vertex",
"protocol:gemini"
],
"tags": ["prefix:google-vertex", "provider:google-vertex", "protocol:gemini"],
"name": "google-vertex/continues-after-a-tool-result",
"recordedAt": "2026-08-23T17:21:51.853Z"
},
packages/ai/test/fixtures/recordings/google-vertex/streams-text.json
Vendored
+1 -5
View File
@@ -1,11 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:google-vertex",
"provider:google-vertex",
"protocol:gemini"
],
"tags": ["prefix:google-vertex", "provider:google-vertex", "protocol:gemini"],
"name": "google-vertex/streams-text",
"recordedAt": "2026-08-23T17:21:50.112Z"
},
packages/ai/test/fixtures/recordings/openai-responses-cache/reports-cached-tokens-on-identical-second-call.json
Vendored
+1 -6
View File
@@ -1,12 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:openai-responses-cache",
"provider:openai",
"protocol:openai-responses",
"cache"
],
"tags": ["prefix:openai-responses-cache", "provider:openai", "protocol:openai-responses", "cache"],
"name": "openai-responses-cache/reports-cached-tokens-on-identical-second-call",
"recordedAt": "2026-08-25T03:29:25.124Z"
},
packages/ai/test/fixtures/recordings/openai-responses/openai-responses-gpt-5-5-tool-loop.json
Vendored
+1 -8
View File
@@ -5,14 +5,7 @@
"route": "openai-responses",
"transport": "http",
"model": "gpt-5.5",
"tags": [
"prefix:openai-responses",
"provider:openai",
"flagship",
"tool",
"tool-loop",
"golden"
],
"tags": ["prefix:openai-responses", "provider:openai", "flagship", "tool", "tool-loop", "golden"],
"name": "openai-responses/openai-responses-gpt-5-5-tool-loop",
"recordedAt": "2026-08-20T06:30:22.262Z"
},
packages/ai/test/fixtures/recordings/pdf/openai-tool-result.json
Vendored
+1 -8
View File
@@ -1,14 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:pdf",
"pdf",
"provider:openai",
"protocol:openai-responses",
"tool",
"tool-result"
],
"tags": ["prefix:pdf", "pdf", "provider:openai", "protocol:openai-responses", "tool", "tool-result"],
"name": "pdf/openai-tool-result",
"recordedAt": "2026-08-25T03:29:08.297Z"
},
packages/ai/test/fixtures/recordings/pdf/openai-user-input.json
Vendored
+1 -7
View File
@@ -1,13 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:pdf",
"pdf",
"provider:openai",
"protocol:openai-responses",
"user-input"
],
"tags": ["prefix:pdf", "pdf", "provider:openai", "protocol:openai-responses", "user-input"],
"name": "pdf/openai-user-input",
"recordedAt": "2026-08-25T03:29:05.645Z"
},
packages/ai/test/fixtures/recordings/pdf/xai-tool-result.json
Vendored
+1 -8
View File
@@ -1,14 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:pdf",
"pdf",
"provider:xai",
"protocol:xai-responses",
"tool",
"tool-result"
],
"tags": ["prefix:pdf", "pdf", "provider:xai", "protocol:xai-responses", "tool", "tool-result"],
"name": "pdf/xai-tool-result",
"recordedAt": "2026-08-25T03:29:11.774Z"
},
packages/ai/test/fixtures/recordings/pdf/xai-user-input.json
Vendored
+1 -7
View File
@@ -1,13 +1,7 @@
{
"version": 1,
"metadata": {
"tags": [
"prefix:pdf",
"pdf",
"provider:xai",
"protocol:xai-responses",
"user-input"
],
"tags": ["prefix:pdf", "pdf", "provider:xai", "protocol:xai-responses", "user-input"],
"name": "pdf/xai-user-input",
"recordedAt": "2026-08-25T03:29:10.612Z"
},
packages/ai/test/fixtures/recordings/vercel-ai-gateway-reasoning-tool-loop.json
Vendored
+1 -1
View File
@@ -52,4 +52,4 @@
}
}
]
}
}
packages/ai/test/fixtures/recordings/vercel-ai-gateway-reasoning.json
Vendored
+2 -7
View File
@@ -2,12 +2,7 @@
"version": 1,
"metadata": {
"model": "anthropic/claude-sonnet-4.6",
"tags": [
"prefix:openai-compatible-chat",
"provider:vercel-ai-gateway",
"protocol:openai-chat",
"reasoning"
],
"tags": ["prefix:openai-compatible-chat", "provider:vercel-ai-gateway", "protocol:openai-chat", "reasoning"],
"name": "vercel-ai-gateway-reasoning",
"recordedAt": "2026-07-18T11:28:42.077Z"
},
@@ -31,4 +26,4 @@
}
}
]
}
}
packages/ai/test/provider-error.test.ts
+1 -3
View File
@@ -89,9 +89,7 @@ describe("provider error classification", () => {
test("classifies network error text as provider internal", () => {
expect(
["network error", "network-error", "network_error"].map(
(message) => classifyProviderFailure({ message })._tag,
),
["network error", "network-error", "network_error"].map((message) => classifyProviderFailure({ message })._tag),
).toEqual(["ProviderInternal", "ProviderInternal", "ProviderInternal"])
})
packages/ai/test/provider/gemini.test.ts
+9 -9
View File
@@ -515,7 +515,10 @@ describe("Gemini route", () => {
{
role: "model",
parts: [
{ functionCall: { id: "call_image", name: "read", args: { path: "pixel.png" } }, thoughtSignature: "sig_1" },
{
functionCall: { id: "call_image", name: "read", args: { path: "pixel.png" } },
thoughtSignature: "sig_1",
},
],
},
{
@@ -606,10 +609,7 @@ describe("Gemini route", () => {
expect(prepared.body.contents).toEqual([
{
role: "model",
parts: [
{ functionCall: { name: "shot", args: {} } },
{ functionCall: { name: "shot", args: {} } },
],
parts: [{ functionCall: { name: "shot", args: {} } }, { functionCall: { name: "shot", args: {} } }],
},
{
role: "user",
@@ -1071,7 +1071,9 @@ describe("Gemini route", () => {
const prepared = yield* compileRequest(
LLM.request({
model,
messages: [Message.assistant([{ type: "text", text: "All done.", providerMetadata: delta?.providerMetadata }])],
messages: [
Message.assistant([{ type: "text", text: "All done.", providerMetadata: delta?.providerMetadata }]),
],
}),
)
expect(prepared.body.contents).toEqual([
@@ -1572,9 +1574,7 @@ describe("Gemini route", () => {
{ candidates: [{ content: { role: "model", parts: null } }] },
{ candidates: [{ content: null, finishReason: null }] },
{
candidates: [
{ content: { role: "model", parts: [{ text: "Hello" }] }, finishReason: "STOP" as const },
],
candidates: [{ content: { role: "model", parts: [{ text: "Hello" }] }, finishReason: "STOP" as const }],
},
),
),
packages/ai/test/provider/google-vertex.recorded.test.ts
+1 -3
View File
@@ -26,9 +26,7 @@ const recorded = recordedTests({
describe("Google Vertex Gemini recorded", () => {
recorded.effect("streams text", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({ model, prompt: "Reply with exactly one word: hello" }),
)
const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Reply with exactly one word: hello" }))
expect(response.text.toLowerCase()).toContain("hello")
}),
packages/ai/test/provider/zai-images.test.ts
+3 -1
View File
@@ -80,7 +80,9 @@ describe("Z.ai Images", () => {
it.effect("sanitizes unpaired surrogates in outbound image requests", () =>
Image.generate({
model: ZAI.configure({ apiKey: "test", http: { body: { metadata: { source: "default\uDC00" } } } }).image("model"),
model: ZAI.configure({ apiKey: "test", http: { body: { metadata: { source: "default\uDC00" } } } }).image(
"model",
),
prompt: "A red circle \uD800 on a white background \u{1F600}",
}).pipe(
Effect.provide(