Panduan Claude Code
Siapkan model Claude Flaq AI dan jelajahi skill Claude Code
Coba gratis API DeepSeek v4 Pro 0813 Web Search untuk riset khusus teks berbasis sumber, jawaban terkini, dan penalaran yang diperkaya pencarian.
const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
method: 'POST',
headers: {
Authorization: 'Bearer YOUR_API_KEY',
Accept: 'text/event-stream',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'deepseek-v4-pro-web-search-0813',
messages: [
{
role: 'user',
content: 'What date is it today?'
}
],
stream: true,
max_tokens: 500,
top_p: 0.5,
top_k: 1
})
});
if (!response.ok) {
const errorBody = await response.json().catch(() => null);
throw new Error(errorBody?.error?.message ?? errorBody?.message ?? `HTTP ${response.status}`);
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let assistantText = '';
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const frames = buffer.split(/\r?\n\r?\n/);
buffer = frames.pop() || '';
for (const frame of frames) {
const lines = frame.split(/\r?\n/).filter(Boolean);
let eventName = 'message';
const dataLines = [];
for (const line of lines) {
if (line.startsWith('event:')) {
eventName = line.slice(6).trim();
} else if (line.startsWith('data:')) {
dataLines.push(line.replace(/^data:\s*/, ''));
}
}
const raw = dataLines.join('\n').trim();
if (raw === '[DONE]') {
console.log('\nFinal text:', assistantText);
continue;
}
let payload;
try {
payload = JSON.parse(raw);
} catch {
continue;
}
if (eventName === 'error' || payload.error) {
const msg = payload.error?.message ?? payload.message ?? 'Chat request failed';
throw new Error(msg);
}
const delta = payload.choices?.[0]?.delta;
if (delta?.content) {
assistantText += delta.content;
console.log(assistantText);
}
}
}
import json
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/chat/completions',
headers={
'Authorization': 'Bearer YOUR_API_KEY',
'Accept': 'text/event-stream',
'Content-Type': 'application/json',
},
json={
'model': 'deepseek-v4-pro-web-search-0813',
'messages': [
{
'role': 'user',
'content': 'What date is it today?',
}
],
'stream': True,
'max_tokens': 500,
'top_p': 0.5,
'top_k': 1,
},
stream=True,
)
response.raise_for_status()
event_name = 'message'
assistant_text = ''
for raw_line in response.iter_lines(decode_unicode=True):
if not raw_line:
event_name = 'message'
continue
if raw_line.startswith('event:'):
event_name = raw_line.replace('event:', '', 1).strip()
continue
if raw_line.startswith('data:'):
raw_data = raw_line.replace('data:', '', 1).strip()
if raw_data == '[DONE]':
print('\nFinal text:', assistant_text)
continue
payload = json.loads(raw_data)
if event_name == 'error' or payload.get('error'):
error = payload.get('error') or payload
raise RuntimeError(error.get('message', 'Chat request failed'))
choices = payload.get('choices') or []
if choices:
delta = choices[0].get('delta') or {}
content = delta.get('content')
if content:
assistant_text += content
print(content, end='', flush=True)
curl -N -X POST "https://api.flaq.ai/api/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Accept: text/event-stream" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro-web-search-0813",
"messages": [
{
"role": "user",
"content": "What date is it today?"
}
],
"stream": true,
"max_tokens": 500,
"top_p": 0.5,
"top_k": 1
}'
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.flaq.ai/api/v1'
});
const stream = await client.chat.completions.create({
model: 'deepseek-v4-pro-web-search-0813',
messages: [
{
role: 'user',
content: 'What date is it today?'
}
],
stream: true,
max_tokens: 500
});
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) process.stdout.write(content);
}
from openai import OpenAI
client = OpenAI(
api_key='YOUR_API_KEY',
base_url='https://api.flaq.ai/api/v1',
)
stream = client.chat.completions.create(
model='deepseek-v4-pro-web-search-0813',
messages=[
{
'role': 'user',
'content': 'What date is it today?',
}
],
stream=True,
max_tokens=500,
)
for chunk in stream:
if not chunk.choices:
continue
content = chunk.choices[0].delta.content
if content:
print(content, end='', flush=True)
OPENAI_BASE_URL="https://api.flaq.ai/api/v1"
curl -N -X POST "$OPENAI_BASE_URL/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Accept: text/event-stream" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro-web-search-0813",
"messages": [
{
"role": "user",
"content": "What date is it today?"
}
],
"stream": true,
"max_tokens": 500
}'
| Parameter | Harga | Harga asli | Diskon |
|---|
DeepSeek v4 Pro Web Search API di Flaq AI menyediakan akses LLM lanjutan dengan kemampuan web search bagi developer membangun riset, answer engine, tool market intelligence, dan assistant informasi terkini. Integrasi DeepSeek web search API ini menggabungkan generasi teks berkualitas tinggi dengan konteks search-augmented melalui route terkelola yang stabil. API ini dirancang untuk produk yang membutuhkan penalaran lebih kuat, retrieval informasi live, dan respons siap produksi responses tanpa membangun infrastruktur search dan LLM terpisah.
Catatan Pastikan prompt, penggunaan konten hasil retrieval, dan teks yang dihasilkan mematuhi persyaratan keamanan DeepSeek dan Flaq AI. Jika terjadi error, revisi permintaan, persempit topik, atau sesuaikan pengaturan generasi lalu coba lagi.
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