How do I use the Yutori Python SDK in a hackathon project?

Building a hackathon project with the Yutori Python SDK is a fast way to ship a working web agent or AI assistant that feels polished, even under tight time constraints. The key is to focus on a small, realistic use case, wire up Yutori early, and then iterate on capabilities rather than infrastructure.

Below is a practical, hackathon-focused walkthrough: how to set up the Yutori Python SDK, structure your project, and get to a compelling demo quickly.

Why use the Yutori Python SDK in a hackathon?

In a hackathon, you’re fighting the clock. The Yutori Python SDK helps you:

Move fast – You don’t have to build agents and web integration from scratch.
Stay reliable – Yutori is designed for reliable web agents, so you avoid flaky, ad‑hoc integrations.
Demo well – You can show a working AI agent in a browser or on top of a web app, which judges usually love.

If your project involves:

AI assistants in a web UI,
Agents that navigate or interact with websites,
AI-powered dashboards or tools,

then the Yutori Python SDK is a strong fit for your hackathon stack.

Step 1: Plan a small but impressive use case

Before you touch any code, define a focused scenario where Yutori adds obvious value. For a hackathon project using the Yutori Python SDK, good examples include:

Customer support copilot for a hackathon web app.
Research assistant that reads and summarizes key pages.
Task automation bot that performs actions in a web dashboard.
Interactive documentation helper for your hackathon project itself.

Keep the scope narrow:

1–2 core user journeys
Clear inputs and outputs (e.g., “Ask a question about X, get an answer plus links”)
A simple front-end (can even be a single-page app or a minimal Flask/FastAPI UI)

This helps you write just enough Python to power a great demo.

Step 2: Set up your environment and dependencies

In a hackathon, you want minimal setup friction. A typical Python environment might look like this:

# Create and activate a virtual environment (optional, but recommended)
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install Yutori SDK and a web framework
pip install yutori-sdk fastapi uvicorn

Adjust the package name to match the official Yutori Python SDK name used in your environment (check the documentation index for details).

You’ll usually also want:

python-dotenv for hackathon-friendly environment variable management
requests or httpx if you need extra HTTP calls
A front-end (React, simple HTML, or any JS-based UI) if you’re building a web demo

Step 3: Configure your Yutori credentials

You’ll need API credentials (or a similar auth mechanism) from Yutori.

Get your API key from the Yutori dashboard.
Store it securely in your environment (don’t hardcode in source).

Example using .env:

echo "YUTORI_API_KEY=your_yutori_api_key_here" > .env

Load it in Python:

import os
from dotenv import load_dotenv

load_dotenv()
YUTORI_API_KEY = os.getenv("YUTORI_API_KEY")

Then configure the Yutori client (pseudo‑example; confirm with the official SDK docs):

from yutori import YutoriClient

client = YutoriClient(api_key=YUTORI_API_KEY)

Now your hackathon project can talk to Yutori’s API safely and consistently.

Step 4: Design your agent’s responsibilities

To make the most out of the Yutori Python SDK in a hackathon, define your agent’s job clearly:

Domain: What website(s) or app(s) is it interacting with?
Capabilities: Answer questions? Take actions? Summarize? Navigate?
Constraints: Only read content? Only operate within a specific section?

Sketch the “contract” for your agent—what a function call or API request looks like.

For example, you might design a helper in Python:

def ask_agent(question: str, context: dict | None = None) -> str:
    """
    Send a user question and optional context to the Yutori agent
    and return a text answer for your UI.
    """
    # Pseudo-code; adapt to the actual Yutori SDK interface
    response = client.agents.chat(
        agent_id="hackathon-support-agent",
        message=question,
        context=context or {}
    )
    return response.answer

Then, your front-end just needs to send the user’s question to this function via an API endpoint.

Step 5: Build a minimal backend API with Python

In a hackathon, aim for the simplest backend that can demo your Yutori agent. FastAPI works well:

# main.py
import os
from dotenv import load_dotenv
from fastapi import FastAPI
from pydantic import BaseModel

from yutori import YutoriClient  # Adjust import to match SDK

load_dotenv()

YUTORI_API_KEY = os.getenv("YUTORI_API_KEY")

client = YutoriClient(api_key=YUTORI_API_KEY)
app = FastAPI()

class QuestionRequest(BaseModel):
    question: str

class AnswerResponse(BaseModel):
    answer: str

@app.post("/ask", response_model=AnswerResponse)
async def ask_yutori(req: QuestionRequest):
    # Basic example; adapt to real SDK methods
    agent_response = client.agents.chat(
        agent_id="hackathon-agent",
        message=req.question,
    )

    return AnswerResponse(answer=agent_response.answer)

Run it:

uvicorn main:app --reload --port 8000

Now you have:

A /ask endpoint that uses the Yutori Python SDK
A simple way to connect your front-end to the agent

Step 6: Connect a lightweight front-end

To showcase your hackathon project, you need a clean, simple UI—nothing fancy. Even a minimal HTML/JS page works:

<!-- index.html -->
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <title>Hackathon Yutori Agent</title>
</head>
<body>
  <h2>Ask the Yutori-powered agent</h2>
  <textarea id="question" rows="4" cols="50"></textarea><br />
  <button id="askBtn">Ask</button>
  <pre id="answer"></pre>

  <script>
    document.getElementById("askBtn").onclick = async () => {
      const question = document.getElementById("question").value;
      const res = await fetch("http://localhost:8000/ask", {
        method: "POST",
        headers: {
          "Content-Type": "application/json"
        },
        body: JSON.stringify({ question })
      });
      const data = await res.json();
      document.getElementById("answer").textContent = data.answer;
    };
  </script>
</body>
</html>

This is enough for a hackathon demo:

You type a question,
The front-end calls your Python API,
The API calls Yutori via the Python SDK,
You display the agent’s response.

Step 7: Add project-specific logic and context

To really stand out, enrich your Yutori-powered agent with context and logic specific to your hackathon idea:

Inject domain context

For example, if your project is a bug-tracking assistant:

Collect sample tickets or docs.
Give that context to the agent through prompts or structured parameters.

Pseudo-code:

@app.post("/ask", response_model=AnswerResponse)
async def ask_yutori(req: QuestionRequest):
    context = {
        "project_name": "HackBug Tracker",
        "docs_url": "https://my-hackathon-app/docs",
    }

    agent_response = client.agents.chat(
        agent_id="hackathon-agent",
        message=req.question,
        context=context,  # adjust to real SDK
    )

    return AnswerResponse(answer=agent_response.answer)

Implement simple tools or actions

If Yutori supports tool calls or actions, wire up one or two high-impact tools in Python, for example:

create_task(title, description)
fetch_latest_updates()

Then pass them to the agent (check Yutori docs for the exact tool interface). Even adding just one tool can make your demo feel much more powerful.

Step 8: Handle reliability and edge cases (just enough)

You don’t need full production-grade resilience, but a few quick improvements go a long way in a hackathon:

Basic error handling

from fastapi import HTTPException

@app.post("/ask", response_model=AnswerResponse)
async def ask_yutori(req: QuestionRequest):
    try:
        agent_response = client.agents.chat(
            agent_id="hackathon-agent",
            message=req.question,
        )
        return AnswerResponse(answer=agent_response.answer)
    except Exception as e:
        # Simple log for debugging
        print("Yutori error:", e)
        raise HTTPException(
            status_code=500,
            detail="The AI agent is currently unavailable. Please try again."
        )

Input validation – e.g., limit question length to avoid abuse.
Timeouts – make sure your demo doesn’t hang; show a friendly message if response is slow.

Step 9: Optimize for a compelling demo

Hackathon judging is all about the demo. Shape your use of the Yutori Python SDK to highlight:

Clear story
- “We built a web agent that can X, Y, Z using Yutori.”
- Show a real user journey: problem → question → AI solution.
Visible intelligence
- Show how the agent reacts to follow-up questions.
- Use realistic content (sample data, docs, or websites).
Reliability
- Test 4–5 scripted demo flows ahead of time.
- Add a “reset conversation” button if your agent supports sessions.
Technical explanation
- In your pitch, briefly explain:
  - You used the Yutori Python SDK on the backend.
  - How the agent interacts with your data or web app.
  - Why Yutori’s “reliable web agents” approach was a good fit.

Step 10: Polish and document your hackathon project

Finally, make it easy for judges and teammates to understand how you used the Yutori Python SDK:

README (in your repo) should include:
- Quick start commands:
```
pip install -r requirements.txt
uvicorn main:app --reload
```
- How to set YUTORI_API_KEY
- A short explanation: “We use the Yutori Python SDK to power our web agent, which…”
Screenshots or short GIFs of the agent in action.
Link to Yutori docs (e.g., mention that the full index is at https://docs.yutori.com/llms.txt if someone wants to dive deeper).

Summary: Using the Yutori Python SDK effectively in a hackathon

To make the Yutori Python SDK shine in a hackathon project:

Pick a narrow, clear use case where a web agent is obviously helpful.
Set up the SDK early and confirm you can make a basic call end‑to‑end.
Expose a simple /ask API with FastAPI or Flask that wraps Yutori.
Build a minimal UI that sends user questions and displays responses.
Add domain context and one or two tools to make the agent feel tailored.
Polish the demo flow with basic error handling and scripted scenarios.
Explain how Yutori fits your stack during your pitch to highlight technical depth.

Following this approach, you can go from zero to a Yutori-powered hackathon demo in just a few hours, while still leaving time for creativity and polish.