Ollama

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'http://localhost:11434/v1',
  apiKey: 'not-needed'
})

const response = await client.chat.completions.create({
  model: 'llama3.3',
  messages: [{ role: 'user', content: 'Explain closures in one paragraph.' }]
})

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

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:11434/v1",
    api_key="not-needed",
)

response = client.chat.completions.create(
    model="llama3.3",
    messages=[{"role": "user", "content": "Explain closures in one paragraph."}],
)

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

curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama3.3",
    "messages": [{"role": "user", "content": "Explain closures in one paragraph."}]
  }'

import { Ollama } from 'ollama'

const ollama = new Ollama({ host: 'http://localhost:11434' })

const response = await ollama.chat({
  model: 'llama3.3',
  messages: [{ role: 'user', content: 'Explain closures in one paragraph.' }]
})

console.log(response.message.content)

from ollama import Client

client = Client(host="http://localhost:11434")

response = client.chat(
    model="llama3.3",
    messages=[{"role": "user", "content": "Explain closures in one paragraph."}],
)

print(response["message"]["content"])