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example.ts
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example.ts
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import { Julep } from '@julep/sdk';
import yaml from 'js-yaml';
import readline from 'readline';
// Add these type declarations at the top of the file
declare module '@julep/sdk';
declare module 'js-yaml';
const client = new Julep({ apiKey: 'your_julep_api_key' });
interface Agent {
id: string;
// Add other properties as needed
}
interface Task {
id: string;
// Add other properties as needed
}
interface Execution {
id: string;
// Add other properties as needed
}
async function createAgent(): Promise<Agent> {
const agent = await client.agents.create({
name: "Storytelling Agent",
model: "gpt-4",
about: "You are a creative storytelling agent that can craft engaging stories and generate comic panels based on ideas.",
});
// 🛠️ Add an image generation tool (DALL·E) to the agent
await client.agents.tools.create(agent.id, {
name: "image_generator",
description: "Use this tool to generate images based on descriptions.",
integration: {
provider: "dalle",
method: "generate_image",
setup: {
api_key: "your_openai_api_key",
},
},
});
return agent;
}
const taskYaml = `
name: Story and Comic Creator
description: Create a story based on an idea and generate a 4-panel comic strip illustrating the story.
main:
# Step 1: Generate a story and outline into 4 panels
- prompt:
- role: system
content: You are {{agent.name}}. {{agent.about}}
- role: user
content: >
Based on the idea '{{_.idea}}', write a short story suitable for a 4-panel comic strip.
Provide the story and a numbered list of 4 brief descriptions for each panel illustrating key moments in the story.
unwrap: true
# Step 2: Extract the panel descriptions and story
- evaluate:
story: _.split('1. ')[0].trim()
panels: _.match(/\\d+\\.\\s*(.*?)(?=\\d+\\.\\s*|$)/g)
# Step 3: Generate images for each panel using the image generator tool
- foreach:
in: _.panels
do:
tool: image_generator
arguments:
description: _
# Step 4: Generate a catchy title for the story
- prompt:
- role: system
content: You are {{agent.name}}. {{agent.about}}
- role: user
content: >
Based on the story below, generate a catchy title.
Story: {{outputs[1].story}}
unwrap: true
# Step 5: Return the story, the generated images, and the title
- return:
title: outputs[3]
story: outputs[1].story
comic_panels: outputs[2].map(output => output.image.url)
`;
async function createTask(agent: Agent): Promise<Task> {
const task = await client.tasks.create(agent.id, yaml.load(taskYaml));
return task;
}
async function executeTask(task: Task): Promise<Execution> {
const execution = await client.executions.create(task.id, {
input: { idea: "A cat who learns to fly" }
});
// 🎉 Watch as the story and comic panels are generated
for await (const transition of client.executions.transitions.stream(execution.id)) {
console.log(transition);
}
// 📦 Once the execution is finished, retrieve the results
const result = await client.executions.get(execution.id);
return result;
}
async function chatWithAgent(agent: Agent): Promise<void> {
const session = await client.sessions.create({ agent_id: agent.id });
// 💬 Send messages to the agent
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
});
const chat = async () => {
rl.question("Enter a message (or 'quit' to exit): ", async (message) => {
if (message.toLowerCase() === 'quit') {
rl.close();
return;
}
const response = await client.sessions.chat(session.id, { message });
console.log(response);
chat();
});
};
chat();
}
// Run the example
async function runExample() {
const agent = await createAgent();
const task = await createTask(agent);
const result = await executeTask(task);
console.log("Task Result:", result);
await chatWithAgent(agent);
}
runExample().catch(console.error);