Naudokite OpenAI Responses API pokalbiams. Responses API yra naujausias OpenAI API formatas su lankstesne įvestimi.
/api/ai/v1/responsesBearer YOUR_API_KEY| Parametras | Tipas | Privaloma | Aprašymas |
|---|---|---|---|
model | string | Privaloma | Modelio pavadinimas, pvz. deepseek-v4.1-flash, qwen3.8-max |
input | string | Privaloma | Įvesties tekstas arba pokalbio turinys |
max_tokens | integer | Neprivaloma | Maksimalus išvesties tokenų skaičius |
temperature | float | Neprivaloma | Atrankos temperatūra, valdo atsitiktinumą (0-2) |
stream | boolean | Neprivaloma | Įjungti srautinį atsakymą, nustatykite true SSE |
| Parametras | Tipas | Aprašymas |
|---|---|---|
id | string | Unikalus atsakymo identifikatorius |
model | string | Faktiškai naudotas modelis |
output | string | Sugeneruota teksto išvestis |
usage | object | Tokenų naudojimo statistika, įskaitant prompt_tokens, completion_tokens, total_tokens |
curl --location 'https://your-domain.com/api/ai/v1/responses' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
"model": "deepseek-v4.1-flash",
"input": "Hello, who are you?",
"max_tokens": 1000,
"temperature": 0.7
}'import requests
response = requests.post(
"https://your-domain.com/api/ai/v1/responses",
headers={
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY"
},
json={
"model": "deepseek-v4.1-flash",
"input": "Hello, who are you?",
"max_tokens": 1000,
"temperature": 0.7
}
)
print(response.json())curl --location 'https://your-domain.com/api/ai/v1/responses' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
"model": "deepseek-v4.1-flash",
"input": "Hello",
"max_tokens": 1000,
"stream": true
}'