System Prompt and Multi-Turn Chat

System Prompt

Python

from openai import OpenAI

client = OpenAI(api_key="your-api-key", base_url="https://aisupermarket.work/v1")

response = client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[
        {"role": "system", "content": "You are a professional Python programming assistant. Answer concisely and accurately."},
        {"role": "user", "content": "How do I read a file?"},
    ],
)
print(response.choices[0].message.content)

JavaScript

import OpenAI from "openai";

const client = new OpenAI({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work/v1" });

const response = await client.chat.completions.create({
  model: "gemini-2.5-flash",
  messages: [
    { role: "system", content: "You are a professional Python programming assistant. Answer concisely and accurately." },
    { role: "user", content: "How do I read a file?" },
  ],
});
console.log(response.choices[0].message.content);

curl

curl https://aisupermarket.work/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [
      {"role": "system", "content": "You are a professional Python programming assistant. Answer concisely and accurately."},
      {"role": "user", "content": "How do I read a file?"}
    ]
  }'

Multi-Turn Chat

Python

from openai import OpenAI

client = OpenAI(api_key="your-api-key", base_url="https://aisupermarket.work/v1")
messages = [{"role": "system", "content": "You are a friendly assistant."}]

def chat(user_input):
    messages.append({"role": "user", "content": user_input})
    response = client.chat.completions.create(model="gemini-2.5-flash", messages=messages)
    reply = response.choices[0].message.content
    messages.append({"role": "assistant", "content": reply})
    return reply

print(chat("My name is Alex"))
print(chat("Do you remember my name?"))

JavaScript

import OpenAI from "openai";

const client = new OpenAI({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work/v1" });
const messages = [{ role: "system", content: "You are a friendly assistant." }];

async function chat(userInput) {
  messages.push({ role: "user", content: userInput });
  const response = await client.chat.completions.create({ model: "gemini-2.5-flash", messages });
  const reply = response.choices[0].message.content;
  messages.push({ role: "assistant", content: reply });
  return reply;
}

console.log(await chat("My name is Alex"));
console.log(await chat("Do you remember my name?"));

curl

curl https://aisupermarket.work/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [
      {"role": "system", "content": "You are a friendly assistant."},
      {"role": "user", "content": "My name is Alex"},
      {"role": "assistant", "content": "Hello, Alex!"},
      {"role": "user", "content": "Do you remember my name?"}
    ]
  }'