Claude Opus 4.8

curl https://llm.bytespike.ai/v1/messages \
  -H "x-api-key: $BYTESPIKE_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-8",
    "max_tokens": 16384,
    "messages": [{"role": "user", "content": "Implement an LRU cache with O(1) get and put."}]
  }'

import anthropic

client = anthropic.Anthropic(
    base_url="https://llm.bytespike.ai/v1",
    api_key="$BYTESPIKE_API_KEY",
)

message = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=16384,
    messages=[
        {"role": "user", "content": "Implement an LRU cache with O(1) get and put."}
    ],
)

# When extended thinking is on, content[0] is the thinking block; the
# text block is the last one in the array.
text_block = next(b for b in message.content if b.type == "text")
print(text_block.text)

import Anthropic from "@anthropic-ai/sdk"

const client = new Anthropic({
  baseURL: "https://llm.bytespike.ai/v1",
  apiKey: process.env.BYTESPIKE_API_KEY,
})

const message = await client.messages.create({
  model: "claude-opus-4-8",
  max_tokens: 16384,
  messages: [
    {
      role: "user",
      content: "Implement an LRU cache with O(1) get and put.",
    },
  ],
})

const textBlock = message.content.find((b) => b.type === "text")
console.log(textBlock.text)