Your Intelligence,
Truly Yours.

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct",
    "messages": [
      {"role": "user", "content": "Summarize this PR diff."}
    ],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:8080/v1",
    api_key="not-needed"  # local, no auth
)

stream = client.chat.completions.create(
    model="llama-3.3-70b-instruct",
    messages=[{"role": "user", "content": "Summarize this PR diff."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "http://localhost:8080/v1",
  apiKey: "not-needed",
});

const stream = await client.chat.completions.create({
  model: "llama-3.3-70b-instruct",
  messages: [{ role: "user", content: "Summarize this PR diff." }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

let url = URL(string: "http://localhost:8080/v1/chat/completions")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try JSONEncoder().encode([
    "model": "llama-3.3-70b-instruct",
    "messages": [["role": "user", "content": "Summarize this PR diff."]],
    "stream": true
])

let (bytes, _) = try await URLSession.shared.bytes(for: request)
for try await line in bytes.lines {
    print(line)
}