Use Modellix LLM with Microsoft Agent Framework

pip install agent-framework

dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
dotnet add package OpenAI

export OPENAI_API_KEY="mdlx-xxxxxxxx"
export OPENAI_BASE_URL="https://llm.modellix.ai/v1"

import asyncio
from agent_framework.openai import OpenAIChatCompletionClient

async def main() -> None:
    agent = OpenAIChatCompletionClient(
        base_url="https://llm.modellix.ai/v1",
        api_key="mdlx-xxxxxxxx",  # or rely on OPENAI_API_KEY
        model="openai/gpt-5.5",
    ).as_agent(
        name="Assistant",
        instructions="You are a concise coding assistant.",
    )

    result = await agent.run("Introduce yourself in one sentence.")
    print(result)

asyncio.run(main())

import asyncio
from agent_framework.openai import OpenAIChatClient

async def main() -> None:
    agent = OpenAIChatClient(
        base_url="https://llm.modellix.ai/v1",
        api_key="mdlx-xxxxxxxx",
        model="openai/gpt-5.5",
    ).as_agent(
        name="Assistant",
        instructions="You are a concise coding assistant.",
    )

    result = await agent.run("Say hello in one short sentence.")
    print(result)

    async for chunk in agent.run("Tell a one-line joke.", stream=True):
        if chunk.text:
            print(chunk.text, end="", flush=True)

asyncio.run(main())

using System.ClientModel;
using Microsoft.Agents.AI;
using OpenAI;

var endpoint = Environment.GetEnvironmentVariable("OPENAI_BASE_URL")
    ?? "https://llm.modellix.ai/v1";
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY")
    ?? throw new InvalidOperationException("OPENAI_API_KEY is required.");
var model = "openai/gpt-5.5";

AIAgent agent = new OpenAIClient(
        new ApiKeyCredential(apiKey),
        new OpenAIClientOptions { Endpoint = new Uri(endpoint) })
    .GetChatClient(model)
    .AsAIAgent(
        instructions: "You are a concise coding assistant.",
        name: "Assistant");

Console.WriteLine(await agent.RunAsync("Introduce yourself in one sentence."));