What Can You Build with
Free LLM APIs?

import requests

# Simple chatbot using Groq + Llama 3.3
def chatbot(user_message, conversation_history=[]):
    url = "https://api.groq.com/openai/v1/chat/completions"
    headers = {
        "Authorization": "Bearer YOUR_GROQ_API_KEY",
        "Content-Type": "application/json"
    }
    
    # Build conversation context
    messages = [
        {
            "role": "system",
            "content": "You are a helpful customer support assistant for TechCorp. Be concise and friendly."
        }
    ] + conversation_history + [
        {"role": "user", "content": user_message}
    ]
    
    response = requests.post(url, headers=headers, json={
        "model": "llama-3.3-70b-versatile",
        "messages": messages,
        "temperature": 0.7,
        "max_tokens": 500
    })
    
    assistant_reply = response.json()["choices"][0]["message"]["content"]
    
    # Update conversation history
    conversation_history.append({"role": "user", "content": user_message})
    conversation_history.append({"role": "assistant", "content": assistant_reply})
    
    return assistant_reply, conversation_history

# Example usage
history = []
response, history = chatbot("How do I reset my password?", history)
print(response)
# Follow-up question maintains context
response, history = chatbot("What if I don't receive the email?", history)
print(response)