fix(llm): preserve native continuation metadata (#28678)
This commit is contained in:
@@ -10,6 +10,7 @@ import {
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type CacheHint,
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type FinishReason,
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type LLMRequest,
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type MediaPart,
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type ProviderMetadata,
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type ToolCallPart,
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type ToolDefinition,
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@@ -39,6 +40,17 @@ const AnthropicTextBlock = Schema.Struct({
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})
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type AnthropicTextBlock = Schema.Schema.Type<typeof AnthropicTextBlock>
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const AnthropicImageBlock = Schema.Struct({
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type: Schema.tag("image"),
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source: Schema.Struct({
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type: Schema.tag("base64"),
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media_type: Schema.String,
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data: Schema.String,
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}),
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cache_control: Schema.optional(AnthropicCacheControl),
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})
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type AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>
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const AnthropicThinkingBlock = Schema.Struct({
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type: Schema.tag("thinking"),
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thinking: Schema.String,
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@@ -92,7 +104,8 @@ const AnthropicToolResultBlock = Schema.Struct({
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cache_control: Schema.optional(AnthropicCacheControl),
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})
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const AnthropicUserBlock = Schema.Union([AnthropicTextBlock, AnthropicToolResultBlock])
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const AnthropicUserBlock = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicToolResultBlock])
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type AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>
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const AnthropicAssistantBlock = Schema.Union([
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AnthropicTextBlock,
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AnthropicThinkingBlock,
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@@ -272,6 +285,19 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
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return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock
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})
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const lowerImage = Effect.fn("AnthropicMessages.lowerImage")(function* (part: MediaPart) {
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if (!part.mediaType.startsWith("image/"))
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return yield* invalid(`Anthropic Messages user media content only supports images`)
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return {
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type: "image" as const,
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source: {
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type: "base64" as const,
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media_type: part.mediaType,
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data: ProviderShared.mediaBase64(part),
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},
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} satisfies AnthropicImageBlock
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})
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const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
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request: LLMRequest,
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breakpoints: Cache.Breakpoints,
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@@ -280,11 +306,17 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
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for (const message of request.messages) {
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if (message.role === "user") {
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const content: AnthropicTextBlock[] = []
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const content: AnthropicUserBlock[] = []
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for (const part of message.content) {
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if (!ProviderShared.supportsContent(part, ["text"]))
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return yield* ProviderShared.unsupportedContent("Anthropic Messages", "user", ["text"])
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content.push({ type: "text", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })
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if (part.type === "text") {
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content.push({ type: "text", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })
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continue
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}
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if (part.type === "media") {
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content.push(yield* lowerImage(part))
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continue
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}
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return yield* ProviderShared.unsupportedContent("Anthropic Messages", "user", ["text", "media"])
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}
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messages.push({ role: "user", content })
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continue
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@@ -6,11 +6,11 @@ import { HttpTransport, WebSocketTransport } from "../route/transport"
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import { Protocol } from "../route/protocol"
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import {
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LLMEvent,
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type MediaPart,
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Usage,
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type FinishReason,
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type LLMRequest,
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type ProviderMetadata,
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type ReasoningPart,
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type TextPart,
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type ToolCallPart,
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type ToolDefinition,
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@@ -43,10 +43,23 @@ const OpenAIResponsesOutputText = Schema.Struct({
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text: Schema.String,
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})
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const OpenAIResponsesReasoningSummaryText = Schema.Struct({
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type: Schema.tag("summary_text"),
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text: Schema.String,
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})
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const OpenAIResponsesReasoningItem = Schema.Struct({
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type: Schema.tag("reasoning"),
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id: Schema.String,
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summary: Schema.Array(OpenAIResponsesReasoningSummaryText),
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encrypted_content: optionalNull(Schema.String),
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})
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const OpenAIResponsesInputItem = Schema.Union([
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Schema.Struct({ role: Schema.tag("system"), content: Schema.String }),
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Schema.Struct({ role: Schema.tag("user"), content: Schema.Array(OpenAIResponsesInputContent) }),
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Schema.Struct({ role: Schema.tag("assistant"), content: Schema.Array(OpenAIResponsesOutputText) }),
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OpenAIResponsesReasoningItem,
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Schema.Struct({
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type: Schema.tag("function_call"),
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call_id: Schema.String,
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@@ -149,6 +162,7 @@ const OpenAIResponsesStreamItem = Schema.Struct({
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server_label: Schema.optional(Schema.String),
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output: Schema.optional(Schema.Unknown),
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error: Schema.optional(Schema.Unknown),
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encrypted_content: optionalNull(Schema.String),
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})
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type OpenAIResponsesStreamItem = Schema.Schema.Type<typeof OpenAIResponsesStreamItem>
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@@ -206,17 +220,31 @@ const lowerToolCall = (part: ToolCallPart): OpenAIResponsesInputItem => ({
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arguments: ProviderShared.encodeJson(part.input),
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})
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const imageUrl = (part: MediaPart) =>
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typeof part.data === "string" && part.data.startsWith("data:")
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? part.data
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: `data:${part.mediaType};base64,${ProviderShared.mediaBytes(part)}`
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const lowerReasoning = (part: ReasoningPart, store: boolean | undefined): OpenAIResponsesInputItem | undefined => {
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const openai = part.providerMetadata?.openai
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if (!ProviderShared.isRecord(openai) || typeof openai.itemId !== "string") return undefined
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// With store:false, OpenAI only accepts previous reasoning items when the
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// encrypted state is present. Bare rs_* ids point to non-persisted items.
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if (store === false && typeof openai.reasoningEncryptedContent !== "string") return undefined
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return {
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type: "reasoning",
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id: openai.itemId,
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summary: part.text.length > 0 ? [{ type: "summary_text", text: part.text }] : [],
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encrypted_content:
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typeof openai.reasoningEncryptedContent === "string"
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? openai.reasoningEncryptedContent
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: openai.reasoningEncryptedContent === null
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? null
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: undefined,
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}
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}
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const lowerUserContent = Effect.fn("OpenAIResponses.lowerUserContent")(function* (
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part: LLMRequest["messages"][number]["content"][number],
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) {
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if (part.type === "text") return { type: "input_text" as const, text: part.text }
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if (part.type === "media" && part.mediaType.startsWith("image/")) {
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return { type: "input_image" as const, image_url: imageUrl(part) }
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return { type: "input_image" as const, image_url: ProviderShared.mediaDataUrl(part) }
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}
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if (part.type === "media") return yield* invalid("OpenAI Responses user media content only supports images")
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return yield* ProviderShared.unsupportedContent("OpenAI Responses", "user", ["text", "media"])
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@@ -226,6 +254,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
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const system: OpenAIResponsesInputItem[] =
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request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
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const input: OpenAIResponsesInputItem[] = [...system]
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const store = OpenAIOptions.store(request)
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for (const message of request.messages) {
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if (message.role === "user") {
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@@ -235,20 +264,34 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
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if (message.role === "assistant") {
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const content: TextPart[] = []
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const flushText = () => {
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if (content.length === 0) return
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input.push({ role: "assistant", content: content.map((part) => ({ type: "output_text", text: part.text })) })
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content.splice(0, content.length)
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}
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for (const part of message.content) {
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if (!ProviderShared.supportsContent(part, ["text", "tool-call"]))
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return yield* ProviderShared.unsupportedContent("OpenAI Responses", "assistant", ["text", "tool-call"])
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if (part.type === "text") {
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content.push(part)
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continue
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}
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if (part.type === "reasoning") {
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flushText()
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const reasoning = lowerReasoning(part, store)
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if (reasoning) input.push(reasoning)
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continue
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}
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if (part.type === "tool-call") {
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flushText()
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input.push(lowerToolCall(part))
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continue
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}
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return yield* ProviderShared.unsupportedContent("OpenAI Responses", "assistant", [
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"text",
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"reasoning",
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"tool-call",
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])
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}
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if (content.length > 0)
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input.push({ role: "assistant", content: content.map((part) => ({ type: "output_text", text: part.text })) })
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flushText()
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continue
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}
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@@ -367,6 +410,11 @@ const isHostedToolItem = (
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): item is OpenAIResponsesStreamItem & { type: HostedToolType; id: string } =>
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item.type in HOSTED_TOOLS && typeof item.id === "string" && item.id.length > 0
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const isReasoningItem = (
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item: OpenAIResponsesStreamItem,
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): item is OpenAIResponsesStreamItem & { type: "reasoning"; id: string } =>
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item.type === "reasoning" && typeof item.id === "string" && item.id.length > 0
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// Round-trip the full item as the structured result so consumers can extract
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// outputs / sources / status without re-decoding.
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const hostedToolResult = (item: OpenAIResponsesStreamItem) => {
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@@ -428,16 +476,12 @@ const onReasoningDelta = (state: ParserState, event: OpenAIResponsesEvent): Step
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]
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}
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const onReasoningDone = (state: ParserState, event: OpenAIResponsesEvent): StepResult => {
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const events: LLMEvent[] = []
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return [
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{
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...state,
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lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, event.item_id ?? "reasoning-0"),
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},
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events,
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]
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}
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// The summary done event does not carry encrypted continuation state. Finish the
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// common reasoning block when the full reasoning item arrives in output_item.done.
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const onReasoningDone = (state: ParserState, _event: OpenAIResponsesEvent): StepResult => [state, NO_EVENTS]
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const reasoningMetadata = (item: OpenAIResponsesStreamItem & { id: string }) =>
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openaiMetadata({ itemId: item.id, reasoningEncryptedContent: item.encrypted_content ?? null })
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const onOutputItemAdded = (state: ParserState, event: OpenAIResponsesEvent): StepResult => {
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const item = event.item
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@@ -518,6 +562,21 @@ const onOutputItemDone = Effect.fn("OpenAIResponses.onOutputItemDone")(function*
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return [{ ...state, lifecycle }, events] satisfies StepResult
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}
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if (isReasoningItem(item)) {
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const events: LLMEvent[] = []
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const providerMetadata = reasoningMetadata(item)
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if (!state.lifecycle.reasoning.has(item.id)) {
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const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
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events.push(LLMEvent.reasoningStart({ id: item.id, providerMetadata }))
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events.push(LLMEvent.reasoningEnd({ id: item.id, providerMetadata }))
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return [{ ...state, lifecycle }, events] satisfies StepResult
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}
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return [
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{ ...state, lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, item.id, providerMetadata) },
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events,
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] satisfies StepResult
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}
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return [state, NO_EVENTS] satisfies StepResult
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})
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@@ -80,7 +80,7 @@ export const subtractTokens = (total: number | undefined, subtrahend: number | u
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*/
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export const sumTokens = (...values: ReadonlyArray<number | undefined>): number | undefined => {
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if (values.every((value) => value === undefined)) return undefined
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return values.reduce<number>((acc, value) => acc + (value ?? 0), 0)
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return values.reduce((acc: number, value) => acc + (value ?? 0), 0)
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}
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export const eventError = (route: string, message: string, raw?: string) =>
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@@ -122,6 +122,16 @@ export const parseToolInput = (route: string, name: string, raw: string) =>
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export const mediaBytes = (part: MediaPart) =>
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typeof part.data === "string" ? part.data : Buffer.from(part.data).toString("base64")
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export const mediaBase64 = (part: MediaPart) => {
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if (typeof part.data !== "string" || !part.data.startsWith("data:")) return mediaBytes(part)
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return part.data.slice(part.data.indexOf(",") + 1)
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}
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export const mediaDataUrl = (part: MediaPart) =>
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typeof part.data === "string" && part.data.startsWith("data:")
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? part.data
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: `data:${part.mediaType};base64,${mediaBytes(part)}`
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export const trimBaseUrl = (value: string) => value.replace(/\/+$/, "")
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export const toolResultText = (part: ToolResultPart) => {
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