Prompt 翻译Prompt Translation

# 基础 Prompt 翻译
curl -X POST https://api.itranslator.cc/v1/prompt/translate \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "You are a helpful assistant. Answer concisely.\n\nQ: {{question}}\nA:",
    "source_lang": "en",
    "target_lang": "zh",
    "preserve_format": true,
    "model_context": "qwen-max"
  }'

# 复杂 System Prompt + 术语库 + 自定义变量保护
curl -X POST https://api.itranslator.cc/v1/prompt/translate \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "You are a {{role}} specializing in {{domain}}. Follow these rules:\n1. Always reference the  block\n2. Use **bold** for key terms\n3. Output in ```json``` format\n\nExample:\nQ: What is {{term}}?\nA: {\"definition\": \"...\", \"source\": \"{{source}}\"}",
    "source_lang": "en",
    "target_lang": "ja",
    "preserve_format": true,
    "preserve_placeholders": true,
    "prompt_type": "system",
    "custom_variables": ["term", "source"],
    "glossary_id": "gls_ai_terms",
    "model_context": "glm-4",
    "domain": "general"
  }'

import requests

# 基础翻译
payload = {
    "prompt": "You are a helpful assistant. Answer concisely.\n\nQ: {{question}}\nA:",
    "source_lang": "en",
    "target_lang": "zh",
    "preserve_format": True,
    "model_context": "qwen-max"
}
resp = requests.post(
    "https://api.itranslator.cc/v1/prompt/translate",
    headers={"Authorization": f"Bearer {token}"},
    json=payload
)
print(resp.json())

# 复杂 System Prompt + 变量保护 + 术语库
payload2 = {
    "prompt": (
        "You are a {{role}} specializing in {{domain}}. Follow these rules:\n"
        "1. Always reference the  block\n"
        "2. Use **bold** for key terms\n"
        "3. Output in ```json``` format\n\n"
        'Example:\n'
        "Q: What is {{term}}?\n"
        'A: {"definition": "...", "source": "{{source}}"}'
    ),
    "source_lang": "en",
    "target_lang": "ja",
    "preserve_format": True,
    "preserve_placeholders": True,
    "prompt_type": "system",
    "custom_variables": ["term", "source"],
    "glossary_id": "gls_ai_terms",
    "model_context": "glm-4",
    "domain": "general"
}
resp2 = requests.post(
    "https://api.itranslator.cc/v1/prompt/translate",
    headers={"Authorization": f"Bearer {token}"},
    json=payload2
)
print(resp2.json())

// 基础翻译
const payload = {
  prompt: "You are a helpful assistant. Answer concisely.\n\nQ: {{question}}\nA:",
  source_lang: "en",
  target_lang: "zh",
  preserve_format: true,
  model_context: "qwen-max"
};

const resp = await fetch("https://api.itranslator.cc/v1/prompt/translate", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${token}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify(payload)
});
console.log(await resp.json());

// 复杂 System Prompt + 变量保护 + 术语库
const payload2 = {
  prompt: 'You are a {{role}} specializing in {{domain}}. Follow these rules:\n1. Always reference the  block\n2. Use **bold** for key terms\n3. Output in ```json``` format\n\nExample:\nQ: What is {{term}}?\nA: {"definition": "...", "source": "{{source}}"}',
  source_lang: "en",
  target_lang: "ja",
  preserve_format: true,
  preserve_placeholders: true,
  prompt_type: "system",
  custom_variables: ["term", "source"],
  glossary_id: "gls_ai_terms",
  model_context: "glm-4",
  domain: "general"
};

const resp2 = await fetch("https://api.itranslator.cc/v1/prompt/translate", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${token}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify(payload2)
});
console.log(await resp2.json());

import com.google.gson.Gson;
import java.util.*;

Gson gson = new Gson();
Map<String, Object> payload = new HashMap<>();
payload.put("prompt", "You are a helpful assistant. Answer concisely.\n\nQ: {{question}}\nA:");
payload.put("source_lang", "en");
payload.put("target_lang", "zh");
payload.put("preserve_format", true);
payload.put("model_context", "qwen-max");

RequestBody body = RequestBody.create(
    gson.toJson(payload), MediaType.parse("application/json"));

Request request = new Request.Builder()
    .url("https://api.itranslator.cc/v1/prompt/translate")
    .header("Authorization", "Bearer " + token)
    .post(body)
    .build();

Response response = client.newCall(request).execute();
System.out.println(response.body().string());

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "net/http"
)

func main() {
    payload := map[string]interface{}{
        "prompt":          "You are a helpful assistant. Answer concisely.\n\nQ: {{question}}\nA:",
        "source_lang":     "en",
        "target_lang":     "zh",
        "preserve_format": true,
        "model_context":   "qwen-max",
    }
    body, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST",
        "https://api.itranslator.cc/v1/prompt/translate",
        bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer "+token)
    req.Header.Set("Content-Type", "application/json")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()
    fmt.Println(resp.Status)
}