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Getting Started with the Claude 2 and the Claude 2 API
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    • Setting Up

    %pip install anthropic -q
    from anthropic import Anthropic, HUMAN_PROMPT, AI_PROMPT
import os

anthropic_api_key = os.environ["ANTHROPIC_API_KEY"]

anthropic = Anthropic(
    api_key= anthropic_api_key,
)
    HUMAN_PROMPT , AI_PROMPT

    Simple Completions Function

    completion = anthropic.completions.create(
    model="claude-2.1",
    max_tokens_to_sample=350,
    prompt=f"{HUMAN_PROMPT} How do I learn Python in a week?{AI_PROMPT}",
)
print(completion.completion)

    Async Completions Function

    from anthropic import AsyncAnthropic

anthropic = AsyncAnthropic()


async def main():
    completion = await anthropic.completions.create(
        model="claude-2.1",
        max_tokens_to_sample=300,
        prompt=f"{HUMAN_PROMPT}How many moons does Jupiter have?{AI_PROMPT}",
    )
    print(completion.completion)


await main()

    Simple LLM Streaming

    anthropic = Anthropic()

stream = anthropic.completions.create(
    prompt=f"{HUMAN_PROMPT}Could you please write a Python code to train a simple classification model?{AI_PROMPT}",
    max_tokens_to_sample=350,
    model="claude-2.1",
    stream=True,
)
for completion in stream:
    print(completion.completion, end="", flush=True)

    Async LLM Streaming

    anthropic = AsyncAnthropic()

stream = await anthropic.completions.create(
    prompt=f"{HUMAN_PROMPT}Please write a blog post on Neural Networks and use Markdown format. Kindly make sure that you proofread your work for any spelling, grammar, or punctuation errors.{AI_PROMPT}",
    max_tokens_to_sample=350,
    model="claude-2.1",
    stream=True,
)
async for completion in stream:
    print(completion.completion, end="", flush=True)