Quickstart

npm install @visiq/sdk

import { visiq } from "@visiq/sdk";
import { AgentExecutor, createOpenAIToolsAgent } from "langchain/agents";
import { createRetrieverTool } from "langchain/tools/retriever";
import { ChatOpenAI } from "@langchain/openai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { DynamicTool } from "@langchain/core/tools";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { OpenAIEmbeddings } from "@langchain/openai";

// Your tools — unchanged
const tools = [
  new DynamicTool({
    name: "issue_refund",
    description: "Issue a refund to a customer",
    func: async (input: string) => {
      const { customerId, amount } = JSON.parse(input);
      return `Refunded $${amount} to ${customerId}`;
    },
  }),
  createRetrieverTool(
    (await MemoryVectorStore.fromTexts(
      ["Q3 revenue: $4.2M", "Internal pricing strategy"],
      [{ classification: "internal" }, { classification: "confidential" }],
      new OpenAIEmbeddings(),
    )).asRetriever(),
    { name: "search_knowledge", description: "Search company knowledge base" },
  ),
];

// Your agent — unchanged
const prompt = ChatPromptTemplate.fromMessages([
  ["system", "You are a helpful assistant."],
  ["human", "{input}"],
  ["placeholder", "{agent_scratchpad}"],
]);
const llm = new ChatOpenAI({ model: "gpt-4o", temperature: 0 });
const agent = await createOpenAIToolsAgent({ llm, tools, prompt });

// One line — ALLOW, RECALL, and RECORD activate here
const executor = visiq(new AgentExecutor({ agent, tools }), { agentId: "support-bot" });

// Use exactly as before
const result = await executor.invoke({ input: "What was Q3 revenue?" });