Messages

from anthropic import Anthropic

client = Anthropic(
    base_url="https://www.samuraiapi.in/api",
    api_key="YOUR_SAMURAI_KEY"
)

message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    system="You are a concise assistant. Keep answers under 3 sentences.",
    messages=[
        {"role": "user", "content": "What is the capital of Japan?"}
    ]
)

print(message.content[0].text)
# => "The capital of Japan is Tokyo."

print(f"Tokens: {message.usage.input_tokens} in / {message.usage.output_tokens} out")

from anthropic import Anthropic

client = Anthropic(
    base_url="https://www.samuraiapi.in/api",
    api_key="YOUR_SAMURAI_KEY"
)

with client.messages.stream(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Write a short story about a samurai."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

# After the stream, access usage:
final = stream.get_final_message()
print(f"\nTotal tokens: {final.usage.input_tokens + final.usage.output_tokens}")

import json
from anthropic import Anthropic

client = Anthropic(
    base_url="https://www.samuraiapi.in/api",
    api_key="YOUR_SAMURAI_KEY"
)

tools = [
    {
        "name": "get_weather",
        "description": "Get the current weather for a city",
        "input_schema": {
            "type": "object",
            "properties": {
                "city": {
                    "type": "string",
                    "description": "The city name, e.g. 'Tokyo'"
                },
                "unit": {
                    "type": "string",
                    "enum": ["celsius", "fahrenheit"],
                    "description": "Temperature unit"
                }
            },
            "required": ["city"]
        }
    }
]

# Step 1: Send initial message with tools
response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    tools=tools,
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}]
)

# Step 2: Check if Claude wants to use a tool
if response.stop_reason == "tool_use":
    tool_use = next(b for b in response.content if b.type == "tool_use")
    print(f"Claude called: {tool_use.name}({tool_use.input})")

    # Step 3: Execute the tool
    def get_weather(city: str, unit: str = "celsius"):
        return {"city": city, "temperature": 18, "condition": "Partly cloudy", "unit": unit}

    result = get_weather(**tool_use.input)

    # Step 4: Send the result back
    final = client.messages.create(
        model="claude-3-5-sonnet-20241022",
        max_tokens=1024,
        tools=tools,
        messages=[
            {"role": "user", "content": "What's the weather in Tokyo?"},
            {"role": "assistant", "content": response.content},
            {
                "role": "user",
                "content": [
                    {
                        "type": "tool_result",
                        "tool_use_id": tool_use.id,
                        "content": json.dumps(result)
                    }
                ]
            }
        ]
    )
    print(final.content[0].text)
    # => "The current weather in Tokyo is 18°C and partly cloudy."

import base64
from pathlib import Path
from anthropic import Anthropic

client = Anthropic(
    base_url="https://www.samuraiapi.in/api",
    api_key="YOUR_SAMURAI_KEY"
)

# From a local file
image_data = base64.standard_b64encode(Path("photo.jpg").read_bytes()).decode("utf-8")

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": "image/jpeg",
                        "data": image_data,
                    },
                },
                {
                    "type": "text",
                    "text": "Describe what you see in this image."
                }
            ],
        }
    ],
)

print(response.content[0].text)