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import OpenAI from 'openai';
import { Tool, AgentMessage, AssistantMessage, TEXT_TYPE, CHUNK_TYPE, ASSISTANT_ROLE, ProcessingInfo, PROCESSING_TYPE } from './types';
import { getReactPrompt } from './prompts';
import { XMLParser, XMLBuilder } from 'fast-xml-parser';
import { Vectorstore } from './vectorstore/Vectorstore';
import { ChatCompletionMessageParam } from 'openai/resources';
import dotenv from 'dotenv';
import { CalculateTool } from './tools/CalculateTool';
import { RAGTool } from './tools/RAGTool';
import { DataAnalysisTool } from './tools/DataAnalysisTool';
import { WebsiteInfoScraperTool } from './tools/WebsiteInfoScraperTool';
import { SearchTool } from './tools/SearchTool';
import { NoTool } from './tools/NoTool';
import { on } from 'events';
import { v4 as uuidv4 } from 'uuid';
import { AnswerParser } from './AnswerParser';
import { StreamedAnswerParser } from './StreamedAnswerParser';
import { CreateCSVTool } from './tools/CreateCSVTool';
dotenv.config();
export class Agent {
private client: OpenAI;
private tools: Record<string, Tool<any>>;
private messages: AgentMessage[] = [];
private interMessages: AgentMessage[] = [];
private vectorstore: Vectorstore;
private _history: () => string;
private _summaries: () => string;
private _csvData: () => { filename: string; id: string; text: string }[];
private actionNumber: number = 0;
private thoughtNumber: number = 0;
private processingNumber: number = 0;
private processingInfo: ProcessingInfo[] = [];
private streamedAnswerParser: StreamedAnswerParser = new StreamedAnswerParser();
constructor(
_vectorstore: Vectorstore,
summaries: () => string,
history: () => string,
csvData: () => { filename: string; id: string; text: string }[],
addLinkedUrlDoc: (url: string, id: string) => void,
createCSVInDash: (url: string, title: string, id: string, data: string) => void
) {
this.client = new OpenAI({ apiKey: process.env.OPENAI_KEY, dangerouslyAllowBrowser: true });
this.vectorstore = _vectorstore;
this._history = history;
this._summaries = summaries;
this._csvData = csvData;
this.tools = {
calculate: new CalculateTool(),
rag: new RAGTool(this.vectorstore),
dataAnalysis: new DataAnalysisTool(csvData),
websiteInfoScraper: new WebsiteInfoScraperTool(addLinkedUrlDoc),
searchTool: new SearchTool(addLinkedUrlDoc),
createCSV: new CreateCSVTool(createCSVInDash),
no_tool: new NoTool(),
};
}
async askAgent(question: string, onProcessingUpdate: (processingUpdate: ProcessingInfo[]) => void, onAnswerUpdate: (answerUpdate: string) => void, maxTurns: number = 30): Promise<AssistantMessage> {
console.log(`Starting query: ${question}`);
this.messages.push({ role: 'user', content: question });
const chatHistory = this._history();
const systemPrompt = getReactPrompt(Object.values(this.tools), this._summaries, chatHistory);
this.interMessages = [{ role: 'system', content: systemPrompt }];
this.interMessages.push({ role: 'user', content: `<stage number="1" role="user"><query>${question}</query></stage>` });
const parser = new XMLParser({
ignoreAttributes: false,
attributeNamePrefix: '@_',
textNodeName: '_text',
isArray: (name, jpath, isLeafNode, isAttribute) => {
// Convert tags with the same name to arrays
return ['query', 'url'].indexOf(name) !== -1;
},
});
const builder = new XMLBuilder({ ignoreAttributes: false, attributeNamePrefix: '@_' });
let currentAction: string | undefined;
this.processingInfo = [];
for (let i = 2; i < maxTurns; i += 2) {
console.log(this.interMessages);
console.log(`Turn ${i}/${maxTurns}`);
const result = await this.execute(onProcessingUpdate, onAnswerUpdate);
this.interMessages.push({ role: 'assistant', content: result });
let parsedResult;
try {
parsedResult = parser.parse(result);
} catch (error) {
throw new Error(`Error parsing response: ${error}`);
}
const stage = parsedResult.stage;
if (!stage) {
throw new Error(`Error: No stage found in response`);
}
for (const key in stage) {
if (key === 'thought') {
console.log(`Thought: ${stage[key]}`);
this.processingNumber++;
} else if (key === 'action') {
currentAction = stage[key] as string;
console.log(`Action: ${currentAction}`);
if (this.tools[currentAction]) {
const nextPrompt = [
{
type: 'text',
text: `<stage number="${i + 1}" role="user">` + builder.build({ action_rules: this.tools[currentAction].getActionRule() }) + `</stage>`,
},
];
this.interMessages.push({ role: 'user', content: nextPrompt });
break;
} else {
console.log('Error: No valid action');
this.interMessages.push({ role: 'user', content: `<stage number="${i + 1}" role="system-error-reporter">No valid action, try again.</stage>` });
break;
}
} else if (key === 'action_input') {
const actionInput = stage[key];
console.log(`Action input:`, actionInput.inputs);
if (currentAction) {
try {
// Parse the inputs
//const parsedInputs = this.parseActionInputs(actionInput.inputs);
//console.log(`Parsed inputs:`, parsedInputs);
const observation = await this.processAction(currentAction, actionInput.inputs);
const nextPrompt = [{ type: 'text', text: `<stage number="${i + 1}" role="user"> <observation>` }, ...observation, { type: 'text', text: '</observation></stage>' }];
console.log(observation);
this.interMessages.push({ role: 'user', content: nextPrompt });
this.processingNumber++;
break;
} catch (error) {
throw new Error(`Error processing action: ${error}`);
}
} else {
throw new Error('Error: Action input without a valid action');
}
} else if (key === 'answer') {
console.log('Answer found. Ending query.');
this.streamedAnswerParser.reset();
const parsedAnswer = AnswerParser.parse(result, this.processingInfo);
return parsedAnswer;
}
}
}
throw new Error('Reached maximum turns. Ending query.');
}
private async execute(onProcessingUpdate: (processingUpdate: ProcessingInfo[]) => void, onAnswerUpdate: (answerUpdate: string) => void): Promise<string> {
const stream = await this.client.chat.completions.create({
model: 'gpt-4o',
messages: this.interMessages as ChatCompletionMessageParam[],
temperature: 0,
stream: true,
});
let fullResponse: string = '';
let currentTag: string = '';
let currentContent: string = '';
let isInsideTag: boolean = false;
for await (const chunk of stream) {
let content = chunk.choices[0]?.delta?.content || '';
fullResponse += content;
for (const char of content) {
if (currentTag === 'answer') {
currentContent += char;
//console.log(char);
const streamedAnswer = this.streamedAnswerParser.parse(char);
//console.log(streamedAnswer);
onAnswerUpdate(streamedAnswer);
continue;
} else if (char === '<') {
isInsideTag = true;
currentTag = '';
currentContent = '';
} else if (char === '>') {
isInsideTag = false;
if (currentTag.startsWith('/')) {
currentTag = '';
}
} else if (isInsideTag) {
currentTag += char;
} else if (currentTag === 'thought' || currentTag === 'action_input_description') {
currentContent += char;
const current_info = this.processingInfo.find(info => info.index === this.processingNumber);
if (current_info) {
current_info.content = currentContent.trim();
onProcessingUpdate(this.processingInfo);
} else {
this.processingInfo.push({ index: this.processingNumber, type: currentTag === 'thought' ? PROCESSING_TYPE.THOUGHT : PROCESSING_TYPE.ACTION, content: currentContent.trim() });
onProcessingUpdate(this.processingInfo);
}
}
}
}
return fullResponse;
}
private async processAction(action: string, actionInput: any): Promise<any> {
if (!(action in this.tools)) {
throw new Error(`Unknown action: ${action}`);
}
const tool = this.tools[action];
const args: Record<string, any> = {};
// for (const paramName in tool.parameters) {
// if (actionInput[paramName] !== undefined) {
// if (Array.isArray(actionInput[paramName])) {
// // If the input is already an array, use it as is
// args[paramName] = actionInput[paramName];
// } else if (typeof actionInput[paramName] === 'object' && actionInput[paramName] !== null) {
// // If the input is an object, check if it has multiple of the same tag
// const values = Object.values(actionInput[paramName]);
// if (values.length > 1) {
// // If there are multiple values, convert to an array
// args[paramName] = values;
// } else {
// // If there's only one value, use it directly
// args[paramName] = values[0];
// }
// } else {
// // For single values, use them as is
// args[paramName] = actionInput[paramName];
// }
// } else if (tool.parameters[paramName].required === 'true') {
// throw new Error(`Missing required parameter '${paramName}' for action '${action}'`);
// }
// }
return await tool.execute(actionInput);
}
private parseActionInputs(inputs: any): Record<string, string | string[]> {
const parsedInputs: Record<string, string | string[]> = {};
for (const key in inputs) {
if (Array.isArray(inputs[key])) {
parsedInputs[key] = inputs[key].map((item: any) => item._text);
} else {
parsedInputs[key] = inputs[key]._text;
}
}
return parsedInputs;
}
}
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