pip install 'mlflow[genai]' openai

npm install @mlflow/openai openai

import openai
import mlflow

# Enable auto-tracing for OpenAI-compatible calls
mlflow.openai.autolog()

# Optional: set tracking target and experiment
mlflow.set_tracking_uri("http://localhost:5000")
mlflow.set_experiment("Novita AI")

client = openai.OpenAI(
    base_url="https://api.novita.ai/openai",
    api_key="<your_novita_api_key>",
)

response = client.chat.completions.create(
    model="deepseek/deepseek-r1",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the capital of France?"},
    ],
)

print(response.choices[0].message.content)

import { OpenAI } from "openai";
import { tracedOpenAI } from "@mlflow/openai";

const client = tracedOpenAI(
  new OpenAI({
    baseURL: "https://api.novita.ai/openai",
    apiKey: "<your_novita_api_key>",
  })
);

const response = await client.chat.completions.create({
  model: "deepseek/deepseek-r1",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "What is the capital of France?" },
  ],
  temperature: 0.1,
  max_tokens: 100,
});

console.log(response.choices[0].message?.content);

import json
from openai import OpenAI
import mlflow
from mlflow.entities import SpanType

# Initialize the OpenAI client with Novita AI API endpoint
client = OpenAI(
    base_url="https://api.novita.ai/openai",
    api_key="<your_novita_api_key>",
)


# Create a parent span for the Novita AI call
@mlflow.trace(span_type=SpanType.CHAIN)
def answer_question(question: str):
    messages = [{"role": "user", "content": question}]
    response = client.chat.completions.create(
        model="deepseek/deepseek-r1",
        messages=messages,
    )

    # Attach session/user metadata to the trace
    mlflow.update_current_trace(
        metadata={
            "mlflow.trace.session": "session-12345",
            "mlflow.trace.user": "user-a",
        }
    )
    return response.choices[0].message.content


answer = answer_question("What is the capital of France?")

import * as mlflow from "@mlflow/core";
import { OpenAI } from "openai";
import { tracedOpenAI } from "@mlflow/openai";

mlflow.init({
  trackingUri: "http://localhost:5000",
  experimentId: "<your_experiment_id>",
});

// Wrap the OpenAI client and point to Novita AI endpoint
const client = tracedOpenAI(
  new OpenAI({
    baseURL: "https://api.novita.ai/openai",
    apiKey: "<your_novita_api_key>",
  })
);

// Create a traced function that wraps the Novita AI call
const answerQuestion = mlflow.trace(
  async (question: string) => {
    const resp = await client.chat.completions.create({
      model: "deepseek/deepseek-r1",
      messages: [{ role: "user", content: question }],
    });
    return resp.choices[0].message?.content;
  },
  { name: "answer-question" }
);

await answerQuestion("What is the capital of France?");