Overview

from anthropic import Anthropic

# Configure the Anthropic client to use TrueFoundry's Gateway
client = Anthropic(
    api_key="your-truefoundry-api-key",  # Your TrueFoundry API key
    base_url="https://{controlPlaneUrl}/api/llm/v1",  # TrueFoundry proxy endpoint
)

# Make a request to the Messages API
def generate_response():
    response = client.messages.create(
        model="anthropic/claude-3-5",  # The model name configured in Truefoundry
        max_tokens=1024,
        messages=[
            {
                "role": "user",
                "content": "Hello, Claude! Please explain quantum computing in simple terms."
            }
        ]
    )

    print(response.content)

generate_response()

{
  "model": "tfy-model-name",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Hello, Claude! Please explain quantum computing in simple terms."
    }
  ]
}

{
  "id": "msg_01XB89YSAA2VGMCF3ZS8ATTA1B",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "text": "Quantum computing is like traditional computing but it uses quantum bits or 'qubits' instead of regular bits. While traditional bits can only be in a state of 0 or 1, qubits can exist in multiple states simultaneously thanks to a quantum property called 'superposition.' This allows quantum computers to process certain types of information much faster than regular computers.\n\nAnother key quantum property is 'entanglement,' where qubits become connected and the state of one instantly affects the other, no matter the distance between them.\n\nThese properties give quantum computers the potential to solve certain complex problems much faster than traditional computers, like factoring large numbers (important for encryption) or simulating molecular structures (useful for drug development).\n\nHowever, quantum computers are still in early development stages. They're extremely sensitive to their environment and require special conditions like ultra-cold temperatures to operate. They're not replacements for regular computers but specialized tools for specific types of problems."
    }
  ],
  "model": "claude-3-opus-20240229",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 14,
    "output_tokens": 178
  }
}

client.messages.create(
    model="tfy-model-name",
    system="You are a helpful AI assistant that specializes in explaining complex topics simply.",
    messages=[
        {"role": "user", "content": "Explain quantum entanglement."}
    ]
)

client.messages.create(
    model="tfy-model-name",
    messages=[
        {"role": "user", "content": "What is machine learning?"},
        {"role": "assistant", "content": "Machine learning is a subset of artificial intelligence..."},
        {"role": "user", "content": "Can you explain supervised vs unsupervised learning?"}
    ]
)

with client.messages.stream(
    model="anthropic/claude-3-5",
    messages=[{"role": "user", "content": "Write a short poem about AI."}]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

    # Access the final message at the end
    print("\nFinal message:", stream.get_final_message())