Guides

Use the Anthropic SDK

Run Anthropic-compatible message requests through Deeplinq.

Deeplinq implements POST /v1/messages and POST /v1/messages/count_tokens. Configure the Anthropic SDK to send requests to your engine.

import Anthropic from "@anthropic-ai/sdk"

const client = new Anthropic({
  apiKey: process.env.DEEPLINQ_API_KEY,
  baseURL: process.env.DEEPLINQ_BASE_URL,
})

const message = await client.messages.create({
  model: "claude-sonnet-4-5",
  max_tokens: 512,
  messages: [
    {
      role: "user",
      content: "Explain why audit logs should be tamper-evident.",
    },
  ],
})

console.log(message.content)

The engine translates the request into its governed provider pipeline while preserving Anthropic response and streaming semantics.

Claude Code

Claude Code can use Deeplinq by changing its API base and carrying an engine credential:

ANTHROPIC_BASE_URL="https://api.example.com" \
ANTHROPIC_API_KEY="$DEEPLINQ_API_KEY" \
claude

Model access, spend authorization, metering, and guardrails continue to apply to these requests.

Use the OpenAI SDK

Point an existing OpenAI client at Deeplinq and stream a response.

Datasets and RAG

Ingest files and websites, share knowledge, and ground model responses.

On this page

Claude Code