@agentica/core
Version:
Agentic AI Library specialized in LLM Function Calling
50 lines • 2.65 kB
JavaScript
;
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.ChatGptDescribeFunctionAgent = void 0;
exports.describe = describe;
const AgenticaDefaultPrompt_1 = require("../constants/AgenticaDefaultPrompt");
const AgenticaSystemPrompt_1 = require("../constants/AgenticaSystemPrompt");
const events_1 = require("../factory/events");
const histories_1 = require("../factory/histories");
const ChatGptCompletionStreamingUtil_1 = require("../utils/ChatGptCompletionStreamingUtil");
function describe(ctx, histories) {
return __awaiter(this, void 0, void 0, function* () {
var _a, _b, _c, _d;
if (histories.length === 0) {
return;
}
const completionStream = yield ctx.request("describe", {
messages: [
// COMMON SYSTEM PROMPT
{
role: "system",
content: AgenticaDefaultPrompt_1.AgenticaDefaultPrompt.write(ctx.config),
},
// FUNCTION CALLING HISTORIES
...histories.map(histories_1.decodeHistory).flat(),
// SYSTEM PROMPT
{
role: "system",
content: (_d = (_c = (_b = (_a = ctx.config) === null || _a === void 0 ? void 0 : _a.systemPrompt) === null || _b === void 0 ? void 0 : _b.describe) === null || _c === void 0 ? void 0 : _c.call(_b, histories)) !== null && _d !== void 0 ? _d : AgenticaSystemPrompt_1.AgenticaSystemPrompt.DESCRIBE,
},
],
});
yield (0, ChatGptCompletionStreamingUtil_1.reduceStreamingWithDispatch)(completionStream, (props) => {
const event = (0, events_1.createDescribeEvent)(Object.assign({ executes: histories }, props));
void ctx.dispatch(event).catch(() => { });
}, ctx.abortSignal);
});
}
exports.ChatGptDescribeFunctionAgent = {
execute: describe,
};
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