Are there any examples of using the Anthropic SDK for advanced tasks

Text Summarization

The SDKs allow you to generate concise summaries of long documents or articles. For example:

python
messages = [
    {"role": "user", "content": "Please summarize this article in 3 sentences:"},
    {"role": "user", "content": article_text}
]

response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=200,
    messages=messages
)

summary = response.content

This code passes the full article text to Claude and asks for a 3-sentence summary, which is returned in the `summary` variable.

Question Answering

The SDKs enable building intelligent question-answering systems. You can provide context along with a question and get a relevant, factual answer:

python
messages = [
    {"role": "user", "content": "What is the capital of France?"},
    {"role": "user", "content": "The capital of France is a city located in the north of the country along the Seine River. It is known for its art museums, iconic landmarks, and fashion houses."}
]

response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=100,
    messages=messages
)

answer = response.content

Here, providing the context that "The capital of France is a city located in the north of the country along the Seine River..." allows Claude to confidently answer that the capital is Paris.

Code Generation

The SDKs can be used to generate code snippets or even entire programs based on a description. For example:

python
messages = [
    {"role": "user", "content": "Write a Python function that calculates the area of a circle given its radius."}
]

response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=200,
    messages=messages
)

code = response.content

This will return a Python function that computes the area of a circle:

python
import math

def circle_area(radius):
    return math.pi * radius ** 2

Dialogue Systems

The SDKs support building interactive conversational agents. By maintaining context across multiple messages, you can engage in freeform dialogue:

python
messages = [
    {"role": "user", "content": "Hi there!"},
    {"role": "assistant", "content": "Hello! How can I assist you today?"},
    {"role": "user", "content": "I'm looking for a good book to read. Do you have any recommendations?"},
    {"role": "assistant", "content": "Hmm, that's a great question! What genres do you typically enjoy?"}
]

response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=200,
    messages=messages
)

dialogue_continuation = response.content

The SDK maintains the conversation context, allowing Claude to engage in a back-and-forth dialogue and provide a relevant book recommendation.

These examples showcase the flexibility and power of the Anthropic SDKs for building advanced AI applications. By leveraging Claude's capabilities through the SDK, you can create intelligent systems that generate, summarize, analyze, and converse with human-like abilities.