🚀 Usage Examples
🐍 Python (OpenAI SDK)
from openai import OpenAI
client = OpenAI(
api_key="any-value",
base_url="https://llm.rielles.net/v1"
)
response = client.chat.completions.create(
model="gemma4:e2b",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain AI in simple terms."}
],
temperature=0.7
)
print(response.choices[0].message.content)
📦 JavaScript (Node.js)
import OpenAI from "openai";
const openai = new OpenAI({
apiKey: "any-value",
baseURL: "https://llm.rielles.net/v1"
});
const response = await openai.chat.completions.create({
model: "gemma4:e2b",
messages: [
{ role: "user", content: "Tell me a joke." }
]
});
console.log(response.choices[0].message.content);
🔄 cURL
curl https://llm.rielles.net/v1/models
curl https://llm.rielles.net/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gemma4:e2b",
"messages": [
{"role": "user", "content": "What is 2+2?"}
],
"stream": false
}'
curl -N https://llm.rielles.net/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gemma4:e2b",
"messages": [
{"role": "user", "content": "Tell me a story"}
🔗 LangChain
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(
base_url="https://llm.rielles.net/v1",
api_key="any-value",
model="gemma4:e2b"
)
response = llm.invoke("What is the capital of Japan?")
print(response.content)
🖥️ .NET / C#
using OpenAI;
using OpenAI.Chat;
var client = new OpenAIClient(
new OpenAIAuthentication("any-value"),
new OpenAIClientSettings {
BaseUri = new Uri("https://llm.rielles.net/v1")
}
);
var request = new ChatRequest {
Model = "gemma4:e2b",
Messages = new List<ChatMessage> {
new ChatMessage("user", "Hello!")
}
};
var response = await client.ChatEndpoint.GetCompletionAsync(request);
🐹 Go
package main
import (
"fmt"
"github.com/sashabaranov/go-openai"
)
func main() {
client := openai.NewClient("any-value")
client.BaseURL = "https://llm.rielles.net/v1"
resp, err := client.CreateChatCompletion(
ctx,
openai.ChatCompletionRequest{
Model: "gemma4:e2b",
Messages: []openai.ChatCompletionMessage{
{Role: "user", Content: "Hello!"},
},
}
)
fmt.Println(resp.Choices[0].Message.Content)
}
⚡ Quick Test
Copy and run this command to test the API:
$ curl https://llm.rielles.net/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gemma4:e2b",
"messages": [
{"role": "user", "content": "Hello! How are you?"}
],
"stream": false
}'