System Prompt and Multi-Turn Chat

System Prompt

Python

import anthropic

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

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    system="You are a professional Python programming assistant. Answer concisely and accurately.",
    messages=[
        {"role": "user", "content": "How do I read a file?"}
    ]
)
print(response.content[0].text)

JavaScript

import Anthropic from "@anthropic-ai/sdk";

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

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  system: "You are a professional Python programming assistant. Answer concisely and accurately.",
  messages: [{ role: "user", content: "How do I read a file?" }],
});
console.log(response.content[0].text);

curl

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "system": "You are a professional Python programming assistant. Answer concisely and accurately.",
    "messages": [{"role": "user", "content": "How do I read a file?"}]
  }'

Multi-Turn Chat

Python

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")
messages = []

def chat(user_input):
    messages.append({"role": "user", "content": user_input})
    response = client.messages.create(
        model="claude-opus-4-7",
        max_tokens=1024,
        system="You are a friendly assistant.",
        messages=messages
    )
    reply = response.content[0].text
    messages.append({"role": "assistant", "content": reply})
    return reply

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

JavaScript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });
const messages = [];

async function chat(userInput) {
  messages.push({ role: "user", content: userInput });
  const response = await client.messages.create({
    model: "claude-opus-4-7",
    max_tokens: 1024,
    system: "You are a friendly assistant.",
    messages,
  });
  const reply = response.content[0].text;
  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

# First turn
curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "system": "You are a friendly assistant.",
    "messages": [{"role": "user", "content": "My name is Alex"}]
  }'

# Second turn (with history)
curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "system": "You are a friendly assistant.",
    "messages": [
      {"role": "user", "content": "My name is Alex"},
      {"role": "assistant", "content": "Hello, Alex! Nice to meet you."},
      {"role": "user", "content": "Do you remember my name?"}
    ]
  }'

Multimodal Content Blocks

system can be a string or an array of content blocks:

Python

import anthropic

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

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    system=[
        {"type": "text", "text": "You are a coding assistant."},
        {"type": "text", "text": "Always provide runnable code examples."}
    ],
    messages=[{"role": "user", "content": "Write a quicksort implementation"}]
)
print(response.content[0].text)

JavaScript

import Anthropic from "@anthropic-ai/sdk";

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

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  system: [
    { type: "text", text: "You are a coding assistant." },
    { type: "text", text: "Always provide runnable code examples." },
  ],
  messages: [{ role: "user", content: "Write a quicksort implementation" }],
});
console.log(response.content[0].text);

curl

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "system": [
      {"type": "text", "text": "You are a coding assistant."},
      {"type": "text", "text": "Always provide runnable code examples."}
    ],
    "messages": [{"role": "user", "content": "Write a quicksort implementation"}]
  }'