語法精靈

將語法錯誤的句子轉換為正確的英語。

將此提示複製到我們的開發者 Console 中親自試用！

	內容
System	您的任務是接收提供的文本，並將其重寫為清晰、語法正確的版本，同時盡可能保持原始意思。糾正任何拼寫錯誤、標點符號錯誤、動詞時態問題、詞彙選擇問題和其他語法錯誤。
User	I can haz cheeseburger?

​

範例輸出

May I have a cheeseburger?

---

​

API 請求

Python

import anthropic

client = anthropic.Anthropic(  # defaults to os.environ.get("ANTHROPIC_API_KEY")
    api_key="my_api_key",
)
message = client.messages.create(
    model="claude-sonnet-4-5",
    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)

TypeScript

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-sonnet-4-5",
  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);

AWS Bedrock Python

from anthropic import AnthropicBedrock

# See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
client = AnthropicBedrock()

message = client.messages.create(
    model="anthropic.claude-sonnet-4-5-20250929-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)

AWS Bedrock TypeScript

import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

// See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
// for authentication options
const client = new AnthropicBedrock();

const msg = await client.messages.create({
model: "anthropic.claude-sonnet-4-5-20250929-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);

Vertex AI Python

from anthropic import AnthropicVertex

client = AnthropicVertex()

message = client.messages.create(
    model="claude-sonnet-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)

Vertex AI TypeScript

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-sonnet-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);