@datastax/langflow-client
Version:
A JavaScript client for the Langflow API
38 lines • 2.31 kB
JavaScript
import { describe, it } from "node:test";
import * as assert from "node:assert/strict";
import { join } from "node:path";
import { readFile } from "node:fs/promises";
import { FlowResponse } from "../flow_response.js";
const agentResponse = join(import.meta.dirname, "fixtures", "agent_response.json");
const modelResponse = join(import.meta.dirname, "fixtures", "model_response.json");
const agentResponseText = "Hi again! How can I help you today? If you have any questions or topics you'd like to discuss, just let me know!";
const modelResponseText = "Hello! 🌟 I'm excited to help you get started on your journey! What fresh idea or project do you have in mind? Whether it's building something with AI, exploring a new technology, or diving into a creative endeavor, I'm here to assist you every step of the way!";
describe("FlowResponse", () => {
describe("an agent response", () => {
it("is initialized with a response", async () => {
const response = JSON.parse(await readFile(agentResponse, "utf-8"));
const flowResponse = new FlowResponse(response);
assert.equal(flowResponse.sessionId, response.session_id);
assert.deepEqual(flowResponse.outputs, response.outputs);
});
it("returns the first chat output text for ", async () => {
const response = JSON.parse(await readFile(agentResponse, "utf-8"));
const flowResponse = new FlowResponse(response);
assert.equal(flowResponse.chatOutputText(), agentResponseText);
});
});
describe("an model response", () => {
it("is initialized with a response", async () => {
const response = JSON.parse(await readFile(modelResponse, "utf-8"));
const flowResponse = new FlowResponse(response);
assert.equal(flowResponse.sessionId, response.session_id);
assert.deepEqual(flowResponse.outputs, response.outputs);
});
it("returns the first chat output text for ", async () => {
const response = JSON.parse(await readFile(modelResponse, "utf-8"));
const flowResponse = new FlowResponse(response);
assert.equal(flowResponse.chatOutputText(), modelResponseText);
});
});
});
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