DeepSeek V4-Pro Setup

The Ultimate Setup Guide: DeepSeek V4-Pro and OpenClaw Integration

Connect DeepSeek V4-Pro to OpenClaw for long-context autonomous tasks, tool use, coding workflows, and business automation.

DeepSeek V4-Pro can be used with OpenClaw by installing the OpenClaw runtime, creating a DeepSeek API key, setting the model endpoint and key in your environment file, then running a small autonomous task to confirm the provider connection.

Introduction

DeepSeek V4-Pro arrived in 2026 as a flagship text model aimed at reasoning, coding, and agentic workloads. For OpenClaw users, the headline feature is the long context window: an agent can hold larger repositories, research bundles, and multi-step task logs in memory before it has to summarize or discard context.

That matters because OpenClaw is not just a chat surface. It coordinates model calls with files, browser actions, messaging integrations, and repeatable workflows. A long-context model gives the agent more room to plan, verify, and recover from intermediate errors.

System Requirements

Use a current development machine or VPS with these baseline requirements:

  • Node.js v22 or newer for the OpenClaw CLI and dashboard services.
  • Python 3.12 or newer if your workflows call Python tools, notebooks, or custom scripts.
  • Git and npm available from the terminal.
  • At least 8 GB RAM for ordinary cloud-model usage, with more memory recommended for browser automation and large workspaces.
  • DeepSeek API access with permission to call the V4-Pro endpoint.

Acquiring API Keys

Sign in to the DeepSeek Developer Portal, create or select a project, open the API keys area, and generate a key for server-side use. Give the key a narrow name such as openclaw-production or openclaw-local-dev so it is easy to rotate later.

Store the key in a password manager and paste it only into your local .env file or hosting provider secret store. Do not commit it to Git, screenshots, issue trackers, or shared docs.

Step-by-Step Installation

Install OpenClaw through npm for the fastest local setup:

npm install -g openclaw
mkdir my-openclaw-agent
cd my-openclaw-agent
openclaw init

For custom development, clone the repository instead and run the project locally. This path is better when you plan to modify tools, add adapters, or test provider-specific behavior before deploying.

Configuring the Model

Open the generated .env file and point OpenClaw at DeepSeek V4-Pro:

OPENCLAW_MODEL_PROVIDER=deepseek
OPENCLAW_MODEL=deepseek-v4-pro
DEEPSEEK_API_KEY=sk-your-key-here
DEEPSEEK_BASE_URL=https://api.deepseek.com/v1

If DeepSeek publishes a different endpoint for V4-Pro in your account, use the endpoint shown in your portal. Provider URLs and model IDs can change during preview releases, so treat the portal as the source of truth.

The First Run

Start with a harmless task that proves the agent can call the model and return a structured answer:

openclaw run "Create a three-step plan for organizing this workspace. Do not modify files."

If the model responds, your key, endpoint, and model ID are working. Then move to a small tool-using task, such as reading a test file or summarizing a folder, before granting broader filesystem or browser permissions.

Source Notes

Model availability, context length, and endpoint names are time-sensitive. This article was written for the April 2026 DeepSeek V4-Pro release window; confirm final values in the DeepSeek portal before production deployment.

Next step

Use the installation guide to connect OpenClaw to your preferred model provider, then move into integrations when your first task runs cleanly.

Installation guideIntegrationsModel options