Python (Unified Mode)

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from openai import OpenAI
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client = OpenAI(
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    api_key="sk-proxy-YOUR_KEY_HERE",
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    base_url="https://api.trygateway.ai/v1"
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)

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response = client.chat.completions.create(
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    model="openai/gpt-4o",
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    messages=[{"role": "user", "content": "Hello!"}]
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)
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print(response.choices[0].message.content)

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response = client.chat.completions.create(
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    model="anthropic/claude-sonnet-4-6",
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    messages=[{"role": "user", "content": "Hello!"}]
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)
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print(response.choices[0].message.content)

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response = client.chat.completions.create(
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    model="google/gemini-2.5-flash",
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    messages=[{"role": "user", "content": "Hello!"}]
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)
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print(response.choices[0].message.content)

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stream = client.chat.completions.create(
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    model="anthropic/claude-sonnet-4-6",
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    messages=[{"role": "user", "content": "Write a short poem about code."}],
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    stream=True
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)
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for chunk in stream:
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    content = chunk.choices[0].delta.content
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    if content:
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        print(content, end="")

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response = client.chat.completions.create(
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    model="anthropic/claude-sonnet-4-6",
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    messages=[
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        {"role": "system", "content": "You are a senior software engineer. Be concise."},
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        {"role": "user", "content": "What's the difference between a mutex and a semaphore?"}
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    ]
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)

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tools = [
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    {
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        "type": "function",
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        "function": {
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            "name": "get_weather",
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            "description": "Get weather for a city",
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            "parameters": {
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                "type": "object",
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                "properties": {
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                    "city": {"type": "string"}
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                },
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                "required": ["city"]
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            }
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        }
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    }
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]
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response = client.chat.completions.create(
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    model="google/gemini-2.5-flash",
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    messages=[{"role": "user", "content": "What's the weather in Paris?"}],
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    tools=tools,
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    tool_choice="auto"
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)
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# Standard OpenAI tool_calls format, regardless of provider
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tool_call = response.choices[0].message.tool_calls[0]
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print(f"{tool_call.function.name}({tool_call.function.arguments})")

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messages = [
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    {"role": "system", "content": "You are a helpful math tutor."},
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    {"role": "user", "content": "What is a derivative?"}
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]
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response = client.chat.completions.create(
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    model="openai/gpt-4o",
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    messages=messages
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)
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messages.append(response.choices[0].message)
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messages.append({"role": "user", "content": "Can you give me an example?"})
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response = client.chat.completions.create(
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    model="openai/gpt-4o",
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    messages=messages
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)
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print(response.choices[0].message.content)

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models = [
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    "openai/gpt-4o",
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    "anthropic/claude-sonnet-4-6",
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    "google/gemini-2.5-flash",
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]
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for model in models:
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    response = client.chat.completions.create(
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        model=model,
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        messages=[{"role": "user", "content": "What is 2+2?"}]
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    )
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    print(f"{model}: {response.choices[0].message.content}")