รูปแบบ Anthropic

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://api.shannon-ai.com",
)

message = client.messages.create(
    model="shannon-3",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Say hello in one sentence."}],
)

for block in message.content:
    if block.type == "text":
        print(block.text)

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

const client = new Anthropic({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.shannon-ai.com",
});

const message = await client.messages.create({
  model: "shannon-3",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Say hello in one sentence." }],
});

for (const block of message.content) {
  if (block.type === "text") console.log(block.text);
}

curl https://api.shannon-ai.com/v1/messages \
  -H "x-api-key: YOUR_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "shannon-3",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Say hello in one sentence."}]
  }'

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://api.shannon-ai.com",
)

message = client.messages.create(
    model="DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
    max_tokens=4096,
    system="You are a physics teacher. Answer in two sentences.",
    thinking={"type": "enabled", "budget_tokens": 2048},
    temperature=0.3,
    stop_sequences=["\n\n"],
    messages=[{"role": "user", "content": "Why is the sky blue?"}],
)

for block in message.content:
    if block.type == "thinking":
        print("reasoning:", block.thinking)
    elif block.type == "text":
        print("answer:", block.text)
print(message.usage)

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

const client = new Anthropic({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.shannon-ai.com",
});

const message = await client.messages.create({
  model: "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
  max_tokens: 4096,
  system: "You are a physics teacher. Answer in two sentences.",
  thinking: { type: "enabled", budget_tokens: 2048 },
  temperature: 0.3,
  stop_sequences: ["\n\n"],
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});

for (const block of message.content) {
  if (block.type === "thinking") console.log("reasoning:", block.thinking);
  if (block.type === "text") console.log("answer:", block.text);
}
console.log(message.usage);

curl https://api.shannon-ai.com/v1/messages \
  -H "x-api-key: YOUR_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
    "max_tokens": 4096,
    "system": "You are a physics teacher. Answer in two sentences.",
    "thinking": {"type": "enabled", "budget_tokens": 2048},
    "temperature": 0.3,
    "stop_sequences": ["\n\n"],
    "messages": [{"role": "user", "content": "Why is the sky blue?"}]
  }'

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://api.shannon-ai.com",
)

with client.messages.stream(
    model="shannon-3",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain server-sent events in three sentences."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)
    message = stream.get_final_message()

print()
print(message.stop_reason, message.usage)

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

const client = new Anthropic({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.shannon-ai.com",
});

const stream = client.messages.stream({
  model: "shannon-3",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain server-sent events in three sentences." }],
});

stream.on("text", (text) => process.stdout.write(text));

const message = await stream.finalMessage();
console.log("\n", message.stop_reason, message.usage);

curl -N https://api.shannon-ai.com/v1/messages \
  -H "x-api-key: YOUR_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "shannon-3",
    "max_tokens": 1024,
    "stream": true,
    "messages": [{"role": "user", "content": "Explain server-sent events in three sentences."}]
  }'

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://api.shannon-ai.com",
)

count = client.messages.count_tokens(
    model="DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
    system="You are a physics teacher. Answer in two sentences.",
    messages=[{"role": "user", "content": "Why is the sky blue?"}],
)

print(count.input_tokens)

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

const client = new Anthropic({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.shannon-ai.com",
});

const count = await client.messages.countTokens({
  model: "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
  system: "You are a physics teacher. Answer in two sentences.",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});

console.log(count.input_tokens);

curl https://api.shannon-ai.com/v1/messages/count_tokens \
  -H "x-api-key: YOUR_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
    "system": "You are a physics teacher. Answer in two sentences.",
    "messages": [{"role": "user", "content": "Why is the sky blue?"}]
  }'

# {"input_tokens": 31}