Streamlit Integration

Streamlit is a Python framework for building data apps and AI interfaces. It makes it easy to create interactive web applications with just a few lines of Python code, commonly used for AI chat interfaces and dashboards.

Streamlit apps can use the OpenAI Python SDK configured with LLM API's endpoint.

Prerequisites

An LLM API account with an API key
Streamlit installed or accessible

Setup

Get Your LLM API Key

Log in to your LLM API dashboard
Click Create Key to Start
Copy your new API key immediately — it will only be shown once
Store the key securely (e.g., in a password manager or .env file)

LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a single API key and endpoint.

Use LLM API in Streamlit Apps

Install dependencies:

pip install streamlit openai

Configure LLM API in your Streamlit app:

import streamlit as st
from openai import OpenAI
client = OpenAI(
api_key="your-llm-api-key-here",
base_url="https://api.llmapi.ai/v1"
)
response = client.chat.completions.create(
model="openai/gpt-4o",
messages=[{"role":"user","content":"Hello!"}]
)

Run your app: streamlit run app.py

Tip: Store your LLM API key in Streamlit's secrets management (st.secrets) for secure deployment.

Test the Integration

Verify that Streamlit can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.

Benefits of Using LLM API with Streamlit

Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
Cost Control: Track and limit your AI spending with detailed usage analytics
Unified Billing: One account for all providers instead of managing multiple API keys
Caching: Reduce costs with response caching for repeated requests

View all available models on the models page.