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DeepSeek v4 Pro 0813 Web Search API kostenlos testen für fundierte reine Textrecherche, aktuelle Antworten und suchgestütztes Reasoning.
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 | Preis | Ursprünglicher Preis | Rabatt |
|---|
Die DeepSeek v4 Pro Web Search API auf Flaq AI bietet erweiterten LLM-Zugriff mit Websuchfunktion für Entwickler, die Research, Answer Engines, Market-Intelligence-Tools und Assistenten für aktuelle Informationen entwickeln. Diese DeepSeek Web Search API-Integration kombiniert hochwertige Textgenerierung mit sucherweitertem Kontext über eine stabile verwaltete Route. Sie ist für Produkte gedacht, die stärkeres Reasoning, Live-Information-Retrieval und produktionsreife Antworten benötigen, ohne separate Such- und LLM-Infrastruktur aufzubauen.
Hinweis Stelle sicher, dass Prompts, Nutzung abgerufener Inhalte und generierter Text den Sicherheitsanforderungen von DeepSeek und Flaq AI entsprechen. Wenn ein Fehler auftritt, überarbeite die Anfrage, grenze das Thema ein oder passe die Generierungseinstellungen an und versuche es erneut.
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