Pustaka Prompt
Penyihir tata bahasa
Sumber Daya
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Pustaka Prompt
Penyihir tata bahasa
Mengubah kalimat yang tidak benar secara tata bahasa menjadi bahasa Inggris yang tepat.
Salin prompt ini ke Console pengembang kami untuk mencobanya sendiri!
Content | |
---|---|
System | Tugas Anda adalah mengambil teks yang diberikan dan menuliskannya kembali menjadi versi yang jelas dan benar secara tata bahasa sambil mempertahankan makna aslinya sedekat mungkin. Perbaiki kesalahan ejaan, kesalahan tanda baca, masalah kala kata kerja, masalah pemilihan kata, dan kesalahan tata bahasa lainnya. |
User | I can haz cheeseburger? |
Contoh Output
May I have a cheeseburger?
Permintaan 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-opus-4-20250514",
max_tokens=1000,
temperature=0,
system="Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages=[
{
"role": "user",
"content": [{"type": "text", "text": "I can haz cheeseburger?"}],
}
],
)
print(message.content)
import anthropic
client = anthropic.Anthropic( # defaults to os.environ.get("ANTHROPIC_API_KEY")
api_key="my_api_key",
)
message = client.messages.create(
model="claude-opus-4-20250514",
max_tokens=1000,
temperature=0,
system="Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages=[
{
"role": "user",
"content": [{"type": "text", "text": "I can haz cheeseburger?"}],
}
],
)
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-opus-4-20250514",
max_tokens: 1000,
temperature: 0,
system: "Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "I can haz cheeseburger?"
}
]
}
]
});
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-opus-4-20250514-v1:0",
max_tokens=1000,
temperature=0,
system="Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "I can haz cheeseburger?"
}
]
}
]
)
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-opus-4-20250514-v1:0",
max_tokens: 1000,
temperature: 0,
system: "Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "I can haz cheeseburger?"
}
]
}
]
});
console.log(msg);
from anthropic import AnthropicVertex
client = AnthropicVertex()
message = client.messages.create(
model="claude-3-7-sonnet-v1@20250219",
max_tokens=1000,
temperature=0,
system="Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "I can haz cheeseburger?"
}
]
}
]
)
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-3-7-sonnet-v1@20250219",
max_tokens: 1000,
temperature: 0,
system: "Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "I can haz cheeseburger?"
}
]
}
]
});
console.log(msg);
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