@genkit-ai/googleai
Version:
Genkit AI framework plugin for Google AI APIs, including Gemini APIs.
101 lines • 3.43 kB
JavaScript
;
var __create = Object.create;
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __getProtoOf = Object.getPrototypeOf;
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 __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(
// If the importer is in node compatibility mode or this is not an ESM
// file that has been converted to a CommonJS file using a Babel-
// compatible transform (i.e. "__esModule" has not been set), then set
// "default" to the CommonJS "module.exports" for node compatibility.
isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", { value: mod, enumerable: true }) : target,
mod
));
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var predict_exports = {};
__export(predict_exports, {
checkOp: () => checkOp,
predictModel: () => predictModel
});
module.exports = __toCommonJS(predict_exports);
var import_common = require("./common");
function predictEndpoint(options) {
return `https://generativelanguage.googleapis.com/${options.apiVersion}/models/${options.model}:${options.method}?key=${options.apiKey}`;
}
function opCheckEndpoint(options) {
return `https://generativelanguage.googleapis.com/${options.apiVersion}/${options.operation}?key=${options.apiKey}`;
}
function predictModel(model, apiKey, method) {
return async (instances, parameters) => {
const fetch = (await import("node-fetch")).default;
const req = {
instances,
parameters
};
const response = await fetch(
predictEndpoint({
model,
apiVersion: "v1beta",
apiKey,
method
}),
{
method: "POST",
body: JSON.stringify(req),
headers: {
"Content-Type": "application/json",
"X-Goog-Api-Client": (0, import_common.getGenkitClientHeader)()
}
}
);
if (!response.ok) {
throw new Error(
`Error from Gemini AI predict: HTTP ${response.status}: ${await response.text()}`
);
}
return await response.json();
};
}
async function checkOp(operation, apiKey) {
const fetch = (await import("node-fetch")).default;
const response = await fetch(
opCheckEndpoint({
apiVersion: "v1beta",
operation,
apiKey
}),
{
method: "GET",
headers: {
"Content-Type": "application/json",
"X-Goog-Api-Client": (0, import_common.getGenkitClientHeader)()
}
}
);
if (!response.ok) {
throw new Error(
`Error from operation API: HTTP ${response.status}: ${await response.text()}`
);
}
return await response.json();
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
checkOp,
predictModel
});
//# sourceMappingURL=predict.js.map