examples/anthropic_sdk_example.py

"""
Example: Using Anthropic SDK with OpenELM API

This example demonstrates how to use the Anthropic SDK (or compatible client)
to call OpenELM models through our Anthropic API compatible wrapper.

Usage:
    python examples/anthropic_sdk_example.py
"""

import sys
import os

# Add parent directory to path for imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from app import AnthropicClient


def main():
    """Example usage of the Anthropic-compatible OpenELM API."""
    
    # Create client pointing to our local API
    base_url = os.environ.get("OPENELM_API_URL", "http://localhost:8000")
    client = AnthropicClient(base_url=base_url, api_key="dummy-key")
    
    print("=" * 60)
    print("OpenELM Anthropic API - Usage Example")
    print("=" * 60)
    print(f"API URL: {base_url}")
    print()
    
    # Example 1: Basic message generation
    print("Example 1: Basic Message Generation")
    print("-" * 40)
    
    response = client.messages().create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "Say hello in a friendly way!"}
        ],
        max_tokens=100,
        temperature=0.7
    )
    
    print(f"Response ID: {response['id']}")
    print(f"Model: {response['model']}")
    print(f"Content: {response['content'][0]['text']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 2: Multi-turn conversation
    print("Example 2: Multi-turn Conversation")
    print("-" * 40)
    
    response = client.messages().create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "What is artificial intelligence?"},
            {"role": "assistant", "content": "Artificial intelligence, or AI, refers to systems that can perform tasks that typically require human intelligence."},
            {"role": "user", "content": "Can you give me some examples?"}
        ],
        max_tokens=150,
        temperature=0.5
    )
    
    print(f"Content: {response['content'][0]['text']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 3: Using system prompt
    print("Example 3: Using System Prompt")
    print("-" * 40)
    
    response = client.messages().create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "Explain quantum computing simply."}
        ],
        system="You are a helpful science educator who explains complex topics simply.",
        max_tokens=200,
        temperature=0.8
    )
    
    print(f"Content: {response['content'][0]['text']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 4: Deterministic generation (temperature=0)
    print("Example 4: Deterministic Generation (temperature=0)")
    print("-" * 40)
    
    response = client.messages().create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "What is 2 + 2?"}
        ],
        max_tokens=50,
        temperature=0.0  # Deterministic output
    )
    
    print(f"Content: {response['content'][0]['text']}")
    print(f"Usage: {response['usage']}")
    print()
    
    print("=" * 60)
    print("All examples completed successfully!")
    print("=" * 60)


if __name__ == "__main__":
    main()