Endpoint 覆蓋範圍
公開 2 個公共 endpoint:message, chat_completion。
curl -X POST https://runapi.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash",
"messages": [
{
"role": "user",
"content": "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."
}
]
}'
import { DeepseekClient } from "@runapi.ai/deepseek";
const client = new DeepseekClient();
const result = await client.chatCompletion.run({
model: "deepseek-v4-flash",
messages: [{"role":"user","content":"Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}],
});
import os
import requests
response = requests.post(
"https://runapi.ai/v1/chat/completions",
headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
json={"model":"deepseek-v4-flash","messages":[{"role":"user","content":"Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}]}
)
response.raise_for_status()
<?php
$client = curl_init("https://runapi.ai/v1/chat/completions");
curl_setopt_array($client, [
CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
CURLOPT_POSTFIELDS => json_encode([
'model' => 'deepseek-v4-flash',
'messages' => [['role' => 'user', 'content' => 'Refactor this Python module for readability, explain each change, then add unit tests for the edge cases.']],
])
]);
$response = curl_exec($client);
RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.chatCompletion().run({"model":"deepseek-v4-flash","messages":[{"role":"user","content":"Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}]});
task.waitForResult();
require "runapi/deepseek"
client = RunApi::Deepseek::Client.new
result = client.chat_completion.run(
model: "deepseek-v4-flash",
messages: [{role: "user", content: "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}]
)
client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.chatCompletion.Run({"model":"deepseek-v4-flash","messages":[{"role":"user","content":"Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}]})
if err != nil { log.Fatal(err) }
task.Wait()
$ runapi generate \
--model deepseek-v4-flash \
--endpoint chat_completion \
--wait
4 個版本可用
選擇任一模型,幾秒內即可開始生成。
| 提供者 | DeepSeek |
| 模型 ID | deepseek-v4-flash |
| 模態 | Text |
| 任務類型 | Synchronous |
| API 端點 | /v1/chat/completions |
| /v1/responses |
| /v1/messages | |
| /v1beta/models/deepseek-v4-flash:generateContent | |
| /v1beta/models/deepseek-v4-flash:streamGenerateContent | |
| 計費單位 | 1K tokens |
| 目錄狀態 | 可直接上線 |
免費註冊後,從控制台建立 deepseek-v4-flash 的 API 金鑰。
向 /v1/chat/completions 傳送 POST 請求,並傳入 deepseek-v4-flash 模型 ID 與參數。
直接從端點讀取已完成的 deepseek-v4-flash 回應。
公開 2 個公共 endpoint:message, chat_completion。
依 1K tokens 計量,無需訂閱。
此端點尚未發布請求參數。
從私有知識庫回答顧客問題,減少工單量。
起草合約摘要,並標示關鍵條款供律師審閱。
在 CI 中自動產生單元測試、程式碼審查與重構建議。
此模型目前尚無已驗證的客戶回饋。
傳入 quickstart 顯示的 model ID。
每個金鑰的速率限制會依使用方案而調整。請查看定價頁面以了解目前限制。
可以——variant 只是旗標。只要變更 model 參數即可切換。
只要支援串流,RunAPI 就會端到端串流。
請在公開 GitHub repo 提交 issue,或寄信給支援。