@ai-sdk/deepinfra/dist/index.mjs

The **[DeepInfra provider](https://ai-sdk.dev/providers/ai-sdk-providers/deepinfra)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the DeepInfra API, giving you access to models like Llama 3, Mixtral, and other state-of-th

// src/deepinfra-provider.ts
import {
  OpenAICompatibleChatLanguageModel,
  OpenAICompatibleCompletionLanguageModel,
  OpenAICompatibleEmbeddingModel
} from "@ai-sdk/openai-compatible";
import {
  loadApiKey,
  withoutTrailingSlash,
  withUserAgentSuffix
} from "@ai-sdk/provider-utils";

// src/deepinfra-image-model.ts
import {
  combineHeaders,
  convertBase64ToUint8Array,
  convertToFormData,
  createJsonErrorResponseHandler,
  createJsonResponseHandler,
  downloadBlob,
  postFormDataToApi,
  postJsonToApi
} from "@ai-sdk/provider-utils";
import { z } from "zod/v4";
var DeepInfraImageModel = class {
  constructor(modelId, config) {
    this.modelId = modelId;
    this.config = config;
    this.specificationVersion = "v3";
    this.maxImagesPerCall = 1;
  }
  get provider() {
    return this.config.provider;
  }
  async doGenerate({
    prompt,
    n,
    size,
    aspectRatio,
    seed,
    providerOptions,
    headers,
    abortSignal,
    files,
    mask
  }) {
    var _a, _b, _c, _d, _e;
    const warnings = [];
    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();
    if (files != null && files.length > 0) {
      const { value: response2, responseHeaders: responseHeaders2 } = await postFormDataToApi({
        url: this.getEditUrl(),
        headers: combineHeaders(this.config.headers(), headers),
        formData: convertToFormData(
          {
            model: this.modelId,
            prompt,
            image: await Promise.all(files.map((file) => fileToBlob(file))),
            mask: mask != null ? await fileToBlob(mask) : void 0,
            n,
            size,
            ...(_d = providerOptions.deepinfra) != null ? _d : {}
          },
          { useArrayBrackets: false }
        ),
        failedResponseHandler: createJsonErrorResponseHandler({
          errorSchema: deepInfraEditErrorSchema,
          errorToMessage: (error) => {
            var _a2, _b2;
            return (_b2 = (_a2 = error.error) == null ? void 0 : _a2.message) != null ? _b2 : "Unknown error";
          }
        }),
        successfulResponseHandler: createJsonResponseHandler(
          deepInfraEditResponseSchema
        ),
        abortSignal,
        fetch: this.config.fetch
      });
      return {
        images: response2.data.map((item) => item.b64_json),
        warnings,
        response: {
          timestamp: currentDate,
          modelId: this.modelId,
          headers: responseHeaders2
        }
      };
    }
    const splitSize = size == null ? void 0 : size.split("x");
    const { value: response, responseHeaders } = await postJsonToApi({
      url: `${this.config.baseURL}/${this.modelId}`,
      headers: combineHeaders(this.config.headers(), headers),
      body: {
        prompt,
        num_images: n,
        ...aspectRatio && { aspect_ratio: aspectRatio },
        ...splitSize && { width: splitSize[0], height: splitSize[1] },
        ...seed != null && { seed },
        ...(_e = providerOptions.deepinfra) != null ? _e : {}
      },
      failedResponseHandler: createJsonErrorResponseHandler({
        errorSchema: deepInfraErrorSchema,
        errorToMessage: (error) => error.detail.error
      }),
      successfulResponseHandler: createJsonResponseHandler(
        deepInfraImageResponseSchema
      ),
      abortSignal,
      fetch: this.config.fetch
    });
    return {
      images: response.images.map(
        (image) => image.replace(/^data:image\/\w+;base64,/, "")
      ),
      warnings,
      response: {
        timestamp: currentDate,
        modelId: this.modelId,
        headers: responseHeaders
      }
    };
  }
  getEditUrl() {
    const baseUrl = this.config.baseURL.replace("/inference", "/openai");
    return `${baseUrl}/images/edits`;
  }
};
var deepInfraErrorSchema = z.object({
  detail: z.object({
    error: z.string()
  })
});
var deepInfraImageResponseSchema = z.object({
  images: z.array(z.string())
});
var deepInfraEditErrorSchema = z.object({
  error: z.object({
    message: z.string()
  }).optional()
});
var deepInfraEditResponseSchema = z.object({
  data: z.array(z.object({ b64_json: z.string() }))
});
async function fileToBlob(file) {
  if (file.type === "url") {
    return downloadBlob(file.url);
  }
  const data = file.data instanceof Uint8Array ? file.data : convertBase64ToUint8Array(file.data);
  return new Blob([data], { type: file.mediaType });
}

// src/version.ts
var VERSION = true ? "2.0.19" : "0.0.0-test";

// src/deepinfra-provider.ts
function createDeepInfra(options = {}) {
  var _a;
  const baseURL = withoutTrailingSlash(
    (_a = options.baseURL) != null ? _a : "https://api.deepinfra.com/v1"
  );
  const getHeaders = () => withUserAgentSuffix(
    {
      Authorization: `Bearer ${loadApiKey({
        apiKey: options.apiKey,
        environmentVariableName: "DEEPINFRA_API_KEY",
        description: "DeepInfra's API key"
      })}`,
      ...options.headers
    },
    `ai-sdk/deepinfra/${VERSION}`
  );
  const getCommonModelConfig = (modelType) => ({
    provider: `deepinfra.${modelType}`,
    url: ({ path }) => `${baseURL}/openai${path}`,
    headers: getHeaders,
    fetch: options.fetch
  });
  const createChatModel = (modelId) => {
    return new OpenAICompatibleChatLanguageModel(
      modelId,
      getCommonModelConfig("chat")
    );
  };
  const createCompletionModel = (modelId) => new OpenAICompatibleCompletionLanguageModel(
    modelId,
    getCommonModelConfig("completion")
  );
  const createEmbeddingModel = (modelId) => new OpenAICompatibleEmbeddingModel(
    modelId,
    getCommonModelConfig("embedding")
  );
  const createImageModel = (modelId) => new DeepInfraImageModel(modelId, {
    ...getCommonModelConfig("image"),
    baseURL: baseURL ? `${baseURL}/inference` : "https://api.deepinfra.com/v1/inference"
  });
  const provider = (modelId) => createChatModel(modelId);
  provider.specificationVersion = "v3";
  provider.completionModel = createCompletionModel;
  provider.chatModel = createChatModel;
  provider.image = createImageModel;
  provider.imageModel = createImageModel;
  provider.languageModel = createChatModel;
  provider.embeddingModel = createEmbeddingModel;
  provider.textEmbeddingModel = createEmbeddingModel;
  return provider;
}
var deepinfra = createDeepInfra();
export {
  VERSION,
  createDeepInfra,
  deepinfra
};
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