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Step 1: Get Your API Key

1

Create an account

Sign up at lemondata.cc using your email.
2

Add credits

Navigate to the dashboard and add credits to your account. Pay-as-you-go pricing with no minimum.
3

Create API key

Go to Dashboard → API Keys and create a new key. Copy it securely - it’s only shown once.
Keep your API key secure. Never expose it in client-side code or public repositories.

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Step 2: Install SDK

pip install openai

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Step 3: Make Your First Request

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.lemondata.cc/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the capital of France?"}
    ]
)

print(response.choices[0].message.content)
# Output: The capital of France is Paris.

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Try Different Models

LemonData supports 300+ models. Just change the model parameter: 
# OpenAI GPT-4o
response = client.chat.completions.create(model="gpt-4o", messages=messages)

# Anthropic Claude 3.5 Sonnet
response = client.chat.completions.create(model="claude-3-5-sonnet-20241022", messages=messages)

# Google Gemini 2.0
response = client.chat.completions.create(model="gemini-2.0-flash", messages=messages)

# DeepSeek R1
response = client.chat.completions.create(model="deepseek-r1", messages=messages)

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Enable Streaming

For real-time responses, enable streaming: 
stream = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

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What’s Next?

Authentication

Learn about API key management and security.

Models

Explore all available models and their capabilities.

Streaming

Implement real-time streaming responses.

Error Handling

Handle errors gracefully in your application.