Email extractor
Extract email addresses from a document into a JSON-formatted list.
Copy this prompt into our developer Console to try it for yourself!
Content | |
---|---|
System | Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write "N/A". Do not say anything else. |
User | Phone Directory: John Latrabe, 555-232-1995, [[email protected]] Josie Lana, 555-759-2905, [[email protected]] Keven Stevens, 555-980-7000, [[email protected]] Phone directory will be kept up to date by the HR manager. |
Example output
API request
Note: Claude 3 Opus is coming soon to the Bedrock API.
import anthropic
client = anthropic.Anthropic(
# defaults to os.environ.get("ANTHROPIC_API_KEY")
api_key="my_api_key",
)
message = client.messages.create(
model="claude-3-opus-20240229",
max_tokens=1000,
temperature=0,
system="Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write \"N/A\". Do not say anything else.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Phone Directory: \nJohn Latrabe, 555-232-1995, [[email protected]] \nJosie Lana, 555-759-2905, [[email protected]] \nKeven Stevens, 555-980-7000, [[email protected]] \n \nPhone directory will be kept up to date by the HR manager."
}
]
}
]
)
print(message.content)
import Anthropic from "@anthropic-ai/sdk";
const anthropic = new Anthropic({
apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
});
const msg = await anthropic.messages.create({
model: "claude-3-opus-20240229",
max_tokens: 1000,
temperature: 0,
system: "Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write \"N/A\". Do not say anything else.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Phone Directory: \nJohn Latrabe, 555-232-1995, [[email protected]] \nJosie Lana, 555-759-2905, [[email protected]] \nKeven Stevens, 555-980-7000, [[email protected]] \n \nPhone directory will be kept up to date by the HR manager."
}
]
}
]
});
console.log(msg);
from anthropic import AnthropicBedrock
# See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
client = AnthropicBedrock()
message = client.messages.create(
model="anthropic.claude-3-opus-20240229-v1:0",
max_tokens=1000,
temperature=0,
system="Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write \"N/A\". Do not say anything else.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Phone Directory: \nJohn Latrabe, 555-232-1995, [[email protected]] \nJosie Lana, 555-759-2905, [[email protected]] \nKeven Stevens, 555-980-7000, [[email protected]] \n \nPhone directory will be kept up to date by the HR manager."
}
]
}
]
)
print(message.content)
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";
// See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
// for authentication options
const client = new AnthropicBedrock();
const msg = await client.messages.create({
model: "anthropic.claude-3-opus-20240229-v1:0",
max_tokens: 1000,
temperature: 0,
system: "Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write \"N/A\". Do not say anything else.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Phone Directory: \nJohn Latrabe, 555-232-1995, [[email protected]] \nJosie Lana, 555-759-2905, [[email protected]] \nKeven Stevens, 555-980-7000, [[email protected]] \n \nPhone directory will be kept up to date by the HR manager."
}
]
}
]
});
console.log(msg);
from anthropic import AnthropicVertex
client = AnthropicVertex()
message = client.messages.create(
model="claude-3-opus@20240229",
max_tokens=1000,
temperature=0,
system="Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write \"N/A\". Do not say anything else.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Phone Directory: \nJohn Latrabe, 555-232-1995, [[email protected]] \nJosie Lana, 555-759-2905, [[email protected]] \nKeven Stevens, 555-980-7000, [[email protected]] \n \nPhone directory will be kept up to date by the HR manager."
}
]
}
]
)
print(message.content)
import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';
// Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
// Additionally goes through the standard `google-auth-library` flow.
const client = new AnthropicVertex();
const msg = await client.messages.create({
model: "claude-3-opus@20240229",
max_tokens: 1000,
temperature: 0,
system: "Precisely copy any email addresses from the following text and then write them, one per line. Only write an email address if it's precisely spelled out in the input text. If there are no email addresses in the text, write \"N/A\". Do not say anything else.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Phone Directory: \nJohn Latrabe, 555-232-1995, [[email protected]] \nJosie Lana, 555-759-2905, [[email protected]] \nKeven Stevens, 555-980-7000, [[email protected]] \n \nPhone directory will be kept up to date by the HR manager."
}
]
}
]
});
console.log(msg);