diff --git a/packages/ai/README.md b/packages/ai/README.md index 34dce7b243c7..314234fb632a 100644 --- a/packages/ai/README.md +++ b/packages/ai/README.md @@ -63,6 +63,24 @@ yield * }) ``` +xAI image models use the same request API with xAI-native controls: + +```ts +yield * + Image.generate({ + model: XAI.configure({ apiKey }).image("any-model-id"), + prompt, + options: { + n: 2, + aspectRatio: "16:9", + resolution: "1k", + responseFormat: "b64_json", + future_option: true, + }, + http, + }) +``` + Conversational image generation remains part of the LLM interaction. OpenAI Responses exposes it through its hosted image tool: ```ts diff --git a/packages/ai/src/protocols/xai-images.ts b/packages/ai/src/protocols/xai-images.ts new file mode 100644 index 000000000000..a4fba9524b19 --- /dev/null +++ b/packages/ai/src/protocols/xai-images.ts @@ -0,0 +1,184 @@ +import { Effect, Encoding, Schema } from "effect" +import { Headers, HttpClientRequest } from "effect/unstable/http" +import { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from "../image" +import { Auth, type Definition as AuthDefinition } from "../route/auth" +import { + InvalidProviderOutputReason, + LLMError, + Usage, + mergeHttpOptions, + mergeJsonRecords, + type HttpOptions, +} from "../schema" +import { ProviderShared, optionalNull } from "./shared" + +const ADAPTER = "xai-images" +export const DEFAULT_BASE_URL = "https://api.x.ai/v1" +export const PATH = "/images/generations" + +export type XAIImageString = Known | (string & {}) + +export type XAIImageOptions = { + readonly n?: number + readonly aspectRatio?: XAIImageString< + | "1:1" + | "3:4" + | "4:3" + | "9:16" + | "16:9" + | "2:3" + | "3:2" + | "9:19.5" + | "19.5:9" + | "9:20" + | "20:9" + | "1:2" + | "2:1" + | "auto" + > + readonly aspect_ratio?: XAIImageString< + | "1:1" + | "3:4" + | "4:3" + | "9:16" + | "16:9" + | "2:3" + | "3:2" + | "9:19.5" + | "19.5:9" + | "9:20" + | "20:9" + | "1:2" + | "2:1" + | "auto" + > + readonly resolution?: XAIImageString<"1k" | "2k"> + readonly responseFormat?: XAIImageString<"url" | "b64_json"> + readonly response_format?: XAIImageString<"url" | "b64_json"> +} & Record + +type XAIImageBody = Record & { + readonly model: string + readonly prompt: string +} + +const XAIImageResponse = Schema.Struct({ + data: Schema.Array( + Schema.Struct({ + b64_json: optionalNull(Schema.String), + url: optionalNull(Schema.String), + revised_prompt: optionalNull(Schema.String), + mime_type: optionalNull(Schema.String), + }), + ), + usage: Schema.optional(Schema.Unknown), +}) + +export interface ModelInput { + readonly id: string + readonly auth: AuthDefinition + readonly baseURL?: string + readonly headers?: Record + readonly http?: HttpOptions +} + +const nativeOptions = (options: XAIImageOptions | undefined) => { + if (!options) return undefined + const { aspectRatio, responseFormat, ...native } = options + return { + aspect_ratio: aspectRatio, + response_format: responseFormat, + ...native, + } +} + +const invalidOutput = (message: string) => + new LLMError({ + module: ADAPTER, + method: "generate", + reason: new InvalidProviderOutputReason({ message, route: ADAPTER }), + }) + +const applyQuery = (url: string, query: Record | undefined) => { + if (!query) return url + const next = new URL(url) + Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value)) + return next.toString() +} + +export const model = (input: ModelInput) => { + const route: ImageRoute = { + id: ADAPTER, + generate: Effect.fn("XAIImages.generate")(function* (request: ImageRequestFor, execute) { + const http = mergeHttpOptions(request.model.http, request.http) + const requestBody = mergeJsonRecords( + { model: request.model.id, prompt: request.prompt }, + nativeOptions(request.options), + http?.body, + ) as XAIImageBody + const text = ProviderShared.encodeJson(requestBody) + const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\/$/, "")}${PATH}`, http?.query) + const headers = yield* Auth.toEffect(input.auth)({ + request, + method: "POST", + url, + body: text, + headers: Headers.fromInput({ ...input.headers, ...http?.headers }), + }) + const response = yield* execute( + HttpClientRequest.post(url).pipe( + HttpClientRequest.setHeaders(headers), + HttpClientRequest.bodyText(text, "application/json"), + ), + ) + const payload = yield* response.json.pipe( + Effect.mapError(() => invalidOutput("Failed to read the xAI Images response")), + ) + const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe( + Effect.mapError(() => invalidOutput("xAI Images returned an invalid response")), + ) + const images = yield* Effect.forEach(decoded.data, (item, index) => { + const mediaType = item.mime_type ?? "application/octet-stream" + if (item.b64_json) + return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe( + Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)), + Effect.map( + (data) => + new GeneratedImage({ + mediaType, + data, + providerMetadata: + item.revised_prompt === undefined || item.revised_prompt === null + ? undefined + : { xai: { revisedPrompt: item.revised_prompt } }, + }), + ), + ) + if (item.url) + return Effect.succeed( + new GeneratedImage({ + mediaType, + data: item.url, + providerMetadata: + item.revised_prompt === undefined || item.revised_prompt === null + ? undefined + : { xai: { revisedPrompt: item.revised_prompt } }, + }), + ) + return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`)) + }) + if (images.length === 0) return yield* invalidOutput("xAI Images returned no images") + const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined + return new ImageResponse({ + images, + usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }), + providerMetadata: usage === undefined ? undefined : { xai: { usage } }, + }) + }), + } + return ImageModel.make({ id: input.id, provider: "xai", route, http: input.http }) +} + +export const XAIImages = { + model, +} as const diff --git a/packages/ai/src/providers/xai.ts b/packages/ai/src/providers/xai.ts index 321db97db104..c5d3220ee724 100644 --- a/packages/ai/src/providers/xai.ts +++ b/packages/ai/src/providers/xai.ts @@ -1,9 +1,10 @@ import { AuthOptions, type ProviderAuthOption } from "../route/auth-options" import type { RouteDefaultsInput } from "../route/client" -import { ProviderID, type ModelID } from "../schema" +import { HttpOptions, ProviderID, type ModelID } from "../schema" import * as OpenAICompatibleProfiles from "./openai-compatible-profile" import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat" import * as OpenAIResponses from "../protocols/openai-responses" +import { XAIImages } from "../protocols/xai-images" export const id = ProviderID.make("xai") @@ -12,6 +13,8 @@ export type ModelOptions = RouteDefaultsInput & readonly baseURL?: string } +export type { XAIImageOptions } from "../protocols/xai-images" + export const routes = [OpenAIResponses.route, OpenAICompatibleChat.route] const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "XAI_API_KEY") @@ -41,11 +44,20 @@ export const configure = (input: ModelOptions = {}) => { const chatRoute = configuredChatRoute(input) const responses = (modelID: string | ModelID) => responsesRoute.model({ id: modelID }) const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID }) + const image = (modelID: string | ModelID) => + XAIImages.model({ + id: modelID, + auth: auth(input), + baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL, + headers: input.headers, + http: input.http === undefined ? undefined : HttpOptions.make(input.http), + }) return { id, model: responses, responses, chat, + image, configure, } } @@ -54,3 +66,4 @@ export const provider = configure() export const model = provider.model export const responses = provider.responses export const chat = provider.chat +export const image = provider.image diff --git a/packages/ai/test/fixtures/recordings/xai-images/generates-an-image.json b/packages/ai/test/fixtures/recordings/xai-images/generates-an-image.json new file mode 100644 index 000000000000..f41a54bb16ff --- /dev/null +++ b/packages/ai/test/fixtures/recordings/xai-images/generates-an-image.json @@ -0,0 +1,32 @@ +{ + "version": 1, + "metadata": { + "tags": [ + "prefix:xai-images", + "provider:xai", + "protocol:xai-images" + ], + "name": "xai-images/generates-an-image", + "recordedAt": "2026-07-19T15:56:20.098Z" + }, + "interactions": [ + { + "transport": "http", + "request": { + "method": "POST", + "url": "https://api.x.ai/v1/images/generations", + "headers": { + "content-type": "application/json" + }, + "body": "{\"model\":\"grok-imagine-image\",\"prompt\":\"A simple flat black diamond centered on a plain white background.\",\"aspect_ratio\":\"1:1\",\"resolution\":\"1k\",\"response_format\":\"b64_json\"}" + }, + "response": { + "status": 200, + "headers": { + "content-type": "application/json" + }, + "body": 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\",\"mime_type\":\"image/jpeg\"}],\"usage\":{\"cost_in_usd_ticks\":200000000}}" + } + } + ] +} diff --git a/packages/ai/test/image.types.ts b/packages/ai/test/image.types.ts index 227608c97b48..9aa2f88e7611 100644 --- a/packages/ai/test/image.types.ts +++ b/packages/ai/test/image.types.ts @@ -6,7 +6,7 @@ import { type ImageRequestFor, type ImageRoute, } from "../src" -import { OpenAI } from "../src/providers" +import { OpenAI, XAI } from "../src/providers" type GoogleLikeOptions = { readonly aspectRatio?: "1:1" | "16:9" @@ -48,6 +48,30 @@ OpenAI.imageGeneration({ partialImages: "2" }) // @ts-expect-error Known Google-like options are inferred from the selected model. Image.generate({ model: google, prompt: "A lighthouse", options: { aspectRatio: "wide" } }) +const xai = XAI.configure({ apiKey: "test" }).image("any-model-id") +// @ts-expect-error Image generation options are request-scoped, not provider configuration. +XAI.configure({ image: { options: { resolution: "1k" } } }) +Image.generate({ + model: xai, + prompt: "A lighthouse", + options: { + n: 2, + aspectRatio: "future-ratio", + resolution: "future-resolution", + responseFormat: "future-format", + future_option: true, + }, +}) +Image.generate({ + model: xai, + prompt: "A lighthouse", + options: { aspect_ratio: "16:9", response_format: "b64_json", native_future_option: true }, +}) +// @ts-expect-error Known xAI numeric options retain their value kind. +Image.generate({ model: xai, prompt: "A lighthouse", options: { n: "2" } }) +// @ts-expect-error Known xAI string options retain their value kind. +Image.generate({ model: xai, prompt: "A lighthouse", options: { resolution: 2 } }) + declare const generic: ImageModel Image.generate({ model: generic, prompt: "A lighthouse", options: { arbitrary: true } }) diff --git a/packages/ai/test/provider/xai-images.recorded.test.ts b/packages/ai/test/provider/xai-images.recorded.test.ts new file mode 100644 index 000000000000..c77002e2c566 --- /dev/null +++ b/packages/ai/test/provider/xai-images.recorded.test.ts @@ -0,0 +1,33 @@ +import { describe, expect } from "bun:test" +import { Effect } from "effect" +import { Image } from "../../src" +import { XAI } from "../../src/providers" +import { recordedTests } from "../recorded-test" + +const model = XAI.configure({ + apiKey: process.env.XAI_API_KEY ?? "fixture", +}).image("grok-imagine-image") + +const recorded = recordedTests({ + prefix: "xai-images", + provider: "xai", + protocol: "xai-images", + requires: ["XAI_API_KEY"], +}) + +describe("xAI Images recorded", () => { + recorded.effect("generates an image", () => + Effect.gen(function* () { + const response = yield* Image.generate({ + model, + prompt: "A simple flat black diamond centered on a plain white background.", + options: { aspectRatio: "1:1", resolution: "1k", responseFormat: "b64_json" }, + }) + + expect(response.images).toHaveLength(1) + expect(response.image?.mediaType.startsWith("image/")).toBe(true) + expect(response.image?.data).toBeInstanceOf(Uint8Array) + expect(response.image?.data.length).toBeGreaterThan(0) + }), + ) +}) diff --git a/packages/ai/test/provider/xai-images.test.ts b/packages/ai/test/provider/xai-images.test.ts new file mode 100644 index 000000000000..ce801f2f9153 --- /dev/null +++ b/packages/ai/test/provider/xai-images.test.ts @@ -0,0 +1,109 @@ +import { describe, expect } from "bun:test" +import { Effect, Layer } from "effect" +import { Headers, HttpClientRequest } from "effect/unstable/http" +import { Image, ImageClient } from "../../src" +import { XAI } from "../../src/providers" +import { Auth } from "../../src/route" +import { it } from "../lib/effect" +import { dynamicResponse } from "../lib/http" + +describe("xAI Images", () => { + it.effect("generates through the OpenAI-compatible Images API", () => + Effect.gen(function* () { + const response = yield* Image.generate({ + model: XAI.configure({ + apiKey: "test", + baseURL: "https://api.xai.test/v1", + http: { body: { configured: true }, headers: { "x-default": "yes" } }, + }).image("grok-imagine-image"), + prompt: "A robot tending a rooftop garden", + options: { + n: 2, + aspectRatio: "16:9", + aspect_ratio: "4:3", + resolution: "1k", + responseFormat: "url", + response_format: "b64_json", + future_option: true, + }, + http: { + body: { resolution: "2k", future_option: "http" }, + headers: { "x-request": "yes" }, + query: { trace: "1" }, + }, + }) + + expect(response.images).toHaveLength(2) + expect(response.image?.mediaType).toBe("image/jpeg") + expect(response.image?.data).toEqual(Uint8Array.from([1, 2, 3])) + expect(response.images[1]?.mediaType).toBe("application/octet-stream") + expect(response.images[1]?.data).toBe("https://api.xai.test/image.jpg") + expect(response.usage?.providerMetadata).toEqual({ xai: { num_images: 2 } }) + expect(response.providerMetadata).toEqual({ xai: { usage: { num_images: 2 } } }) + }).pipe( + Effect.provide( + ImageClient.layer.pipe( + Layer.provide( + dynamicResponse((input) => + Effect.gen(function* () { + const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie) + expect(request.url).toBe("https://api.xai.test/v1/images/generations?trace=1") + expect(request.headers.get("authorization")).toBe("Bearer test") + expect(request.headers.get("x-default")).toBe("yes") + expect(request.headers.get("x-request")).toBe("yes") + expect(JSON.parse(input.text)).toEqual({ + model: "grok-imagine-image", + prompt: "A robot tending a rooftop garden", + n: 2, + aspect_ratio: "4:3", + resolution: "2k", + response_format: "b64_json", + future_option: "http", + configured: true, + }) + return input.respond( + JSON.stringify({ + data: [ + { b64_json: "AQID", url: null, mime_type: "image/jpeg" }, + { b64_json: null, url: "https://api.xai.test/image.jpg", mime_type: null }, + ], + usage: { num_images: 2 }, + }), + { headers: { "content-type": "application/json" } }, + ) + }), + ), + ), + ), + ), + ), + ) + + it.effect("supports request-level custom auth", () => + Image.generate({ + model: XAI.configure({ + baseURL: "https://api.xai.test/v1", + auth: Auth.custom((input) => + Effect.succeed(Headers.set(input.headers, "x-custom-auth", new URL(input.url).hostname)), + ), + }).image("grok-imagine-image"), + prompt: "A robot tending a rooftop garden", + }).pipe( + Effect.provide( + ImageClient.layer.pipe( + Layer.provide( + dynamicResponse((input) => + Effect.gen(function* () { + const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie) + expect(request.headers.get("x-custom-auth")).toBe("api.xai.test") + return input.respond(JSON.stringify({ data: [{ b64_json: "AQID", mime_type: "image/png" }] }), { + headers: { "content-type": "application/json" }, + }) + }), + ), + ), + ), + ), + ), + ) +})