Chat Completions
POST /v1/chat/completions — the most common text chat endpoint, compatible with the OpenAI Chat Completions format.
Request example
bash
curl https://api.novaapis.com/v1/chat/completions \
-H "Authorization: Bearer $NOVA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Describe NovaAPI in one sentence" }
]
}'python
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.novaapis.com/v1")
resp = client.chat.completions.create(
model="gpt-5.5",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Describe NovaAPI in one sentence"},
],
)
print(resp.choices[0].message.content)javascript
import OpenAI from 'openai'
const client = new OpenAI({
apiKey: process.env.NOVA_API_KEY,
baseURL: 'https://api.novaapis.com/v1',
})
const resp = await client.chat.completions.create({
model: 'gpt-5.5',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Describe NovaAPI in one sentence' },
],
})
console.log(resp.choices[0].message.content)Common parameters
| Parameter | Type | Description |
|---|---|---|
model | string | Model name, see Models |
messages | array | Array of conversation messages |
stream | boolean | Stream the response, defaults to false |
temperature | number | Sampling temperature, 0–2 |
max_tokens | number | Max tokens to generate |
Streaming
Set "stream": true and the server pushes content in chunks via SSE:
bash
curl https://api.novaapis.com/v1/chat/completions \
-H "Authorization: Bearer $NOVA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [{ "role": "user", "content": "Tell me a joke" }],
"stream": true
}'python
from openai import OpenAI
client = OpenAI(api_key="...", base_url="https://api.novaapis.com/v1")
stream = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "Tell me a joke"}],
stream=True,
)
for chunk in stream:
if chunk.choices:
print(chunk.choices[0].delta.content or "", end="")javascript
import OpenAI from 'openai'
const client = new OpenAI({
apiKey: process.env.NOVA_API_KEY,
baseURL: 'https://api.novaapis.com/v1',
})
const stream = await client.chat.completions.create({
model: 'gpt-5.5',
messages: [{ role: 'user', content: 'Tell me a joke' }],
stream: true,
})
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content || '')
}