refactor(ai): make OpenAI Responses extend Open Responses (#38681)
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19 changed files with 1261 additions and 1067 deletions
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packages/ai/src/protocols/utils/open-responses-options.ts
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packages/ai/src/protocols/utils/open-responses-options.ts
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import { Schema } from "effect"
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import { TextVerbosity, type LLMRequest } from "../../schema"
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export const ResponseIncludables = [
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"file_search_call.results",
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"web_search_call.results",
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"web_search_call.action.sources",
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"message.input_image.image_url",
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"computer_call_output.output.image_url",
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"code_interpreter_call.outputs",
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"reasoning.encrypted_content",
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"message.output_text.logprobs",
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] as const
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export type ResponseIncludable = (typeof ResponseIncludables)[number]
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export const ServiceTiers = ["auto", "default", "flex", "priority"] as const
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export type ServiceTier = (typeof ServiceTiers)[number]
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const TEXT_VERBOSITY = new Set<string>(["low", "medium", "high"])
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const INCLUDABLES = new Set<string>(ResponseIncludables)
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const SERVICE_TIERS = new Set<string>(ServiceTiers)
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const isTextVerbosity = (value: unknown): value is Schema.Schema.Type<typeof TextVerbosity> =>
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typeof value === "string" && TEXT_VERBOSITY.has(value)
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const isServiceTier = (value: unknown): value is ServiceTier => typeof value === "string" && SERVICE_TIERS.has(value)
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export const ReasoningEffort = Schema.String
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export const TextVerbositySchema = TextVerbosity
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export const ResponseIncludableSchema = Schema.Literals(ResponseIncludables)
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export const ServiceTierSchema = Schema.Literals(ServiceTiers)
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export interface Resolved {
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readonly instructions?: string
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readonly store?: boolean
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readonly promptCacheKey?: string
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readonly reasoningEffort?: string
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readonly reasoningSummary?: "auto" | "concise" | "detailed"
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readonly include?: ReadonlyArray<ResponseIncludable>
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readonly textVerbosity?: Schema.Schema.Type<typeof TextVerbosity>
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readonly serviceTier?: ServiceTier
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}
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export const resolve = (request: LLMRequest): Resolved => {
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const input = request.providerOptions?.[request.model.route.providerMetadataKey ?? "openresponses"]
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const include = Array.isArray(input?.include)
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? input.include.filter((entry): entry is ResponseIncludable => INCLUDABLES.has(entry))
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: []
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const reasoningSummary = input?.reasoningSummary
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return {
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instructions: typeof input?.instructions === "string" ? input.instructions : undefined,
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store: typeof input?.store === "boolean" ? input.store : undefined,
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promptCacheKey: typeof input?.promptCacheKey === "string" ? input.promptCacheKey : undefined,
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reasoningEffort: typeof input?.reasoningEffort === "string" ? input.reasoningEffort : undefined,
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reasoningSummary:
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reasoningSummary === "auto" || reasoningSummary === "concise" || reasoningSummary === "detailed"
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? reasoningSummary
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: undefined,
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include: include.length > 0 ? include : undefined,
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textVerbosity: isTextVerbosity(input?.textVerbosity) ? input.textVerbosity : undefined,
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serviceTier: isServiceTier(input?.serviceTier) ? input.serviceTier : undefined,
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}
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}
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export * as OpenResponsesOptions from "./open-responses-options"
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@ -1,85 +1,23 @@
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import { Schema } from "effect"
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import type { LLMRequest, TextVerbosity as TextVerbosityValue } from "../../schema"
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import { ReasoningEfforts, TextVerbosity } from "../../schema"
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import { ReasoningEfforts } from "../../schema"
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import { OpenResponsesOptions } from "./open-responses-options"
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export const OpenAIReasoningEfforts = ReasoningEfforts
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export type OpenAIReasoningEffort = string
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// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this
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// in lockstep with `openai-node/src/resources/responses/responses.ts`.
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export const OpenAIResponseIncludables = [
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"file_search_call.results",
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"web_search_call.results",
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"web_search_call.action.sources",
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"message.input_image.image_url",
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"computer_call_output.output.image_url",
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"code_interpreter_call.outputs",
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"reasoning.encrypted_content",
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"message.output_text.logprobs",
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] as const
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export type OpenAIResponseIncludable = (typeof OpenAIResponseIncludables)[number]
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export const OpenAIServiceTiers = ["auto", "default", "flex", "priority"] as const
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export type OpenAIServiceTier = (typeof OpenAIServiceTiers)[number]
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export const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables
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export type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable
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export const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers
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export type OpenAIServiceTier = OpenResponsesOptions.ServiceTier
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const TEXT_VERBOSITY = new Set<string>(["low", "medium", "high"])
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const INCLUDABLES = new Set<string>(OpenAIResponseIncludables)
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const SERVICE_TIERS = new Set<string>(OpenAIServiceTiers)
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export const OpenAIReasoningEffort = Schema.String
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export const OpenAITextVerbosity = TextVerbosity
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export const OpenAIResponseIncludable = Schema.Literals(OpenAIResponseIncludables)
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export const OpenAIServiceTier = Schema.Literals(OpenAIServiceTiers)
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export const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort
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export const OpenAITextVerbosity = OpenResponsesOptions.TextVerbositySchema
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export const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema
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export const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema
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export const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === "string"
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const isTextVerbosity = (value: unknown): value is TextVerbosityValue =>
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typeof value === "string" && TEXT_VERBOSITY.has(value)
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const options = (request: LLMRequest) => request.providerOptions?.openai
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export const store = (request: LLMRequest): boolean | undefined => {
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const value = options(request)?.store
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return typeof value === "boolean" ? value : undefined
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}
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export const reasoningEffort = (request: LLMRequest): string | undefined => {
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const value = options(request)?.reasoningEffort
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return typeof value === "string" ? value : undefined
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}
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export const reasoningSummary = (request: LLMRequest): "auto" | undefined =>
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options(request)?.reasoningSummary === "auto" ? "auto" : undefined
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// Resolve the OpenAI Responses `include` field. Filters out unknown
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// includable values defensively so a typo in upstream config drops the
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// invalid entry instead of poisoning the wire body. An empty array (either
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// passed directly or produced by filtering) is treated as "no include" and
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// returns undefined so the request body omits the field entirely.
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export const include = (request: LLMRequest): ReadonlyArray<OpenAIResponseIncludable> | undefined => {
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const value = options(request)?.include
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if (!Array.isArray(value)) return undefined
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const filtered = value.filter((entry): entry is OpenAIResponseIncludable => INCLUDABLES.has(entry))
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return filtered.length > 0 ? filtered : undefined
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}
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export const promptCacheKey = (request: LLMRequest) => {
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const value = options(request)?.promptCacheKey
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return typeof value === "string" ? value : undefined
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}
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export const textVerbosity = (request: LLMRequest) => {
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const value = options(request)?.textVerbosity
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return isTextVerbosity(value) ? value : undefined
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}
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export const serviceTier = (request: LLMRequest) => {
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const value = options(request)?.serviceTier
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return typeof value === "string" && SERVICE_TIERS.has(value) ? (value as OpenAIServiceTier) : undefined
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}
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export const instructions = (request: LLMRequest) => {
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const value = options(request)?.instructions
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return typeof value === "string" ? value : undefined
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}
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export const resolve = OpenResponsesOptions.resolve
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export * as OpenAIOptions from "./openai-options"
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@ -63,6 +63,8 @@ const openAI = (schema: JsonSchema): JsonSchema => {
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return isRecord(normalized) ? normalized : { type: "object" }
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}
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const responses = openAI
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const gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}
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const modelCompatibility = (
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@ -83,4 +85,5 @@ export const ToolSchemaProjection = {
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modelCompatibility,
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moonshot,
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openAI,
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responses,
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} as const
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