Generative AI

Getting Started with ChatGPT API: Build AI-Powered Applications

📅 December 05, 2025 ⏱️ 1 min read 👁️ 4 views 🏷️ Generative AI

ChatGPT API enables you to build AI-powered applications with state-of-the-art language models. This guide covers everything from setup to production.

Setting Up OpenAI API


import openai

# Set your API key
openai.api_key = 'your-api-key-here'

# Simple completion
response = openai.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
)

print(response.choices[0].message.content)
```

Conversation History


messages = [
    {"role": "system", "content": "You are a helpful coding assistant."}
]

def chat(user_message):
    messages.append({"role": "user", "content": user_message})
    
    response = openai.chat.completions.create(
        model="gpt-4",
        messages=messages
    )
    
    assistant_message = response.choices[0].message.content
    messages.append({"role": "assistant", "content": assistant_message})
    
    return assistant_message

# Use it
print(chat("How do I reverse a string in Python?"))
print(chat("Can you show an example?"))
```

Streaming Responses


response = openai.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end='')
```

Function Calling


functions = [
    {
        "name": "get_weather",
        "description": "Get current weather in a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string"},
                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
            },
            "required": ["location"]
        }
    }
]

response = openai.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "What's the weather in NYC?"}],
    functions=functions,
    function_call="auto"
)
```

Best Practices


# Set temperature for creativity vs consistency
response = openai.chat.completions.create(
    model="gpt-4",
    messages=your_messages,
    temperature=0.7,  # 0 = deterministic, 2 = very creative
    max_tokens=500,   # Limit response length
    top_p=0.9        # Nucleus sampling
)

# Handle errors
try:
    response = openai.chat.completions.create(...)
except openai.error.RateLimitError:
    print("Rate limit exceeded, please retry")
except openai.error.APIError as e:
    print(f"API error: {e}")
```

Start building amazing AI applications with ChatGPT API today!

🏷️ Tags:
chatgpt openai gpt-4 api generative ai llm

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