Creates a completion for the provided prompt and parameters.
POST
/v1/completions
Request Body
Les paramètres suivants peuvent être inclus dans le corps de la requête :
Paramètres
model
string
Required
Default Value:
alphaedge-large-3-2512
ID of the model to use.
prompt
string
array<string>
Required
The prompt(s) to generate completions for.
max_tokens
integer
null
The maximum number of tokens to generate.
temperature
number
Default Value:
1.0
What sampling temperature to use, between 0 and 2.
stream
boolean
Default Value:
false
Whether to stream back partial progress.
Successful Response
Les champs suivants sont retournés dans une réponse réussie :
Champs de réponse
id
string
Required
A unique identifier for the completion.
object
string
Required
The object type, which is always "text_completion".
created
integer
Required
The Unix timestamp of when the completion was created.
model
string
Required
The model used for the completion.
choices
array<Choice>
Required
The list of completion choices.
usage
UsageInfo
Required
Usage statistics for the completion request.
Examples
Exemples de code pour utiliser cet endpoint :
typescript
import { AlphaEdge } from '@alphaedge/alphaedge';
const alphaedge = new AlphaEdge({
apiKey: process.env.ALPHAEDGE_API_KEY,
});
const completion = await alphaedge.completions.create({
model: 'alphaedge-large-3-2512',
prompt: 'Say hello!',
max_tokens: 50
});
python
from alphaedge import AlphaEdge
alphaedge = AlphaEdge(api_key="your-api-key")
completion = alphaedge.completions.create(
model="alphaedge-large-3-2512",
prompt="Say hello!",
max_tokens=50
)
curl
curl https://api.alphaedge-ai.com/v1/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ALPHAEDGE_API_KEY" \
-d '{
"model": "alphaedge-large-3-2512",
"prompt": "Say hello!",
"max_tokens": 50
}' Response
Exemple de réponse de l'API :
json
{
"id": "cmpl-abc123",
"object": "text_completion",
"created": 1234567890,
"model": "alphaedge-large-3-2512",
"choices": [
{
"text": "Hello! How can I help you?",
"index": 0,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 2,
"completion_tokens": 7,
"total_tokens": 9
}
}