Sure! Here are some real code snippets that use the Anthropic Claude 3 API:
The first, from a blog post by Abid Ali Awan on KDnuggets, shows how to use the API to generate a response in Urdu:
import os
import anthropic
from IPython.display import Markdown, display
client = anthropic.Anthropic(
api_key=os.environ["ANTHROPIC_API_KEY"],
)
Prompt = "Write a blog about neural networks."
message = client.messages.create(
model="claude-3-opus-20240229",
max_tokens=1024,
system="Respond only in Urdu.",
messages=[
{'role': "user", "content": Prompt}
]
)
Markdown(message.content[0].text)
The next two code snippets are from the Amazon Bedrock User Guide:
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0
"""
Shows how to generate a message with Anthropic Claude (on demand).
"""
import boto3
import json
import logging
from botocore.exceptions import ClientError
logger = logging.getLogger(name=__name__)
logging.basicConfig(level=logging.INFO)
def generate_message(bedrock_runtime, model_id, system_prompt, messages, max_tokens):
body = json.dumps(
{"anthropic_version": "bedrock-2023-05-31",
"max_tokens": max_tokens,
"system": system_prompt,
"messages": messages
}
)
response = bedrock_runtime.invoke_model(body=body, modelId=model_id)
response_body = json.loads(response.get('body').read())
return response_body
def main():
"""
Entrypoint for Anthropic Claude message example.
"""
try:
bedrock_runtime = boto3.client(service_name='bedrock-runtime')
model_id = 'anthropic.claude-3-sonnet-20240229-v1:0'
system_prompt = "Please respond only with emoji."
max_tokens = 1000
# Prompt with user turn only.
user_message = {"role": "user", "content": "Hello World"}
messages = [user_message]
response = generate_message(bedrock_runtime, model_id, system_prompt, messages, max_tokens)
print("User turn only.")
print(json.dumps(response, indent=4))
# Prompt with both user turn and prefilled assistant response.
# Anthropic Claude continues by using the prefilled assistant text.
assistant_message = {"role": "assistant", "content": "<emoji>"}
messages = [user_message, assistant_message]
response = generate_message(bedrock_runtime, model_id, system_prompt, messages, max_tokens)
print("User turn and prefilled assistant response.")
print(json.dumps(response, indent=4))
except ClientError as err:
message = err.response["Error"]["Message"]
logger.error("A client error occurred: %s", message)
print("A client error occurred: " + format(message))
if __name__ == "__main__":
main()
And:
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0
"""
Shows how to run a multimodal prompt with Anthropic Claude (on demand) and InvokeModel.
"""
import json
import logging
import base64
import boto3
from botocore.exceptions import ClientError
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
def run_multi_modal_prompt(bedrock_runtime, model_id, messages, max_tokens):
"""
Invokes a model with a multimodal prompt.
Args:
bedrock_runtime: The Amazon Bedrock boto3 client.
model_id (str): The model ID to use.
messages (JSON): The messages to send to the model.
max_tokens (int): The maximum number of tokens to generate.
Returns:
None.
"""
body = json.dumps(
{
"anthropic_version": "bedrock-2023-05-31",
"max_tokens": max_tokens,
"messages": messages
}
)
response = bedrock_runtime.invoke_model(body=body, modelId=model_id)
response_body = json.loads(response.get('body').read())
return response_body
def main():
"""
Entrypoint for Anthropic Claude multimodal prompt example.
"""
try:
bedrock_runtime = boto3.client(service_name='bedrock-runtime')
model_id = 'anthropic.claude-3-sonnet-20240229-v1:0'
max_tokens = 1000
URL: [Claude-3 API Snippets](https://www.anthropic.com/blog/claude-3-api-snippets)
irthomasthomas
commented
8 months ago
Claude-3 API Snippets
Sure! Here are some real code snippets that use the Anthropic Claude 3 API:
The first, from a blog post by Abid Ali Awan on KDnuggets, shows how to use the API to generate a response in Urdu:
The next two code snippets are from the Amazon Bedrock User Guide:
And:
Suggested labels