auto-gpt-ts
Version:
my take of Auto-GPT in typescript
34 lines • 1.74 kB
JavaScript
;
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.AnalyzeCodeCommand = void 0;
const llm_utils_1 = require("../llm/llm-utils");
const command_1 = require("./command");
let AnalyzeCodeCommand = class AnalyzeCodeCommand {
/**
* A function that takes in a string and returns a response from create chat
* completion api call.
* @param code Code to be evaluated.
* @returns A result string from create chat completion. A list of suggestions to improve the code.
*/
static analyzeCode(code) {
const functionString = "analyzeCode(code: string): Promise<string[]>";
const args = [code];
const descriptionString = ("Analyzes the given code and returns a list of suggestions for improvements.");
return (0, llm_utils_1.callAiFunction)(functionString, args, descriptionString);
}
};
AnalyzeCodeCommand = __decorate([
(0, command_1.CommandDecorator)({
name: 'analyzeCode',
description: 'Analyze Code',
signature: '"code": string'
})
], AnalyzeCodeCommand);
exports.AnalyzeCodeCommand = AnalyzeCodeCommand;
//# sourceMappingURL=analyze-code.js.map