@genkit-ai/compat-oai
Version:
Genkit AI framework plugin for OpenAI APIs.
127 lines • 4.05 kB
JavaScript
;
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __export = (target, all) => {
for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
if (from && typeof from === "object" || typeof from === "function") {
for (let key of __getOwnPropNames(from))
if (!__hasOwnProp.call(to, key) && key !== except)
__defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
}
return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var image_exports = {};
__export(image_exports, {
IMAGE_GENERATION_MODEL_INFO: () => IMAGE_GENERATION_MODEL_INFO,
ImageGenerationCommonConfigSchema: () => ImageGenerationCommonConfigSchema,
compatOaiImageModelRef: () => compatOaiImageModelRef,
defineCompatOpenAIImageModel: () => defineCompatOpenAIImageModel
});
module.exports = __toCommonJS(image_exports);
var import_genkit = require("genkit");
const IMAGE_GENERATION_MODEL_INFO = {
supports: {
media: false,
output: ["media"],
multiturn: false,
systemRole: false,
tools: false
}
};
const ImageGenerationCommonConfigSchema = import_genkit.z.object({
size: import_genkit.z.enum(["1024x1024", "1792x1024", "1024x1792"]).optional(),
style: import_genkit.z.enum(["vivid", "natural"]).optional(),
user: import_genkit.z.string().optional(),
n: import_genkit.z.number().int().min(1).max(10).default(1),
quality: import_genkit.z.enum(["standard", "hd"]).optional(),
response_format: import_genkit.z.enum(["b64_json", "url"]).default("b64_json").optional()
});
function toImageGenerateParams(modelName, request, requestBuilder) {
const {
temperature,
version: modelVersion,
maxOutputTokens,
stopSequences,
topK,
topP,
response_format,
...restOfConfig
} = request.config ?? {};
let options = {
model: modelVersion ?? modelName,
prompt: new import_genkit.Message(request.messages[0]).text,
response_format: response_format || "b64_json"
};
if (requestBuilder) {
requestBuilder(request, options);
} else {
options = { ...options, ...restOfConfig };
}
for (const k in options) {
if (options[k] === void 0) {
delete options[k];
}
}
return options;
}
function toGenerateResponse(result) {
const images = result.data;
if (!images) {
return { finishReason: "stop" };
} else {
const content = (result.data ?? []).map((image) => ({
media: {
contentType: "image/png",
url: image.url || `data:image/png;base64,${image.b64_json}`
}
}));
return { message: { role: "model", content }, raw: result };
}
}
function defineCompatOpenAIImageModel(params) {
const { ai, name, client, modelRef: modelRef2, requestBuilder } = params;
const modelName = name.substring(name.indexOf("/") + 1);
return ai.defineModel(
{
name,
...modelRef2?.info,
apiVersion: "v2",
configSchema: modelRef2?.configSchema
},
async (request, { abortSignal }) => {
const result = await client.images.generate(
toImageGenerateParams(modelName, request, requestBuilder),
{ signal: abortSignal }
);
return toGenerateResponse(result);
}
);
}
function compatOaiImageModelRef(params) {
const {
name,
info = IMAGE_GENERATION_MODEL_INFO,
configSchema,
config = void 0
} = params;
return (0, import_genkit.modelRef)({
name,
configSchema: configSchema || ImageGenerationCommonConfigSchema,
info,
config
});
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
IMAGE_GENERATION_MODEL_INFO,
ImageGenerationCommonConfigSchema,
compatOaiImageModelRef,
defineCompatOpenAIImageModel
});
//# sourceMappingURL=image.js.map