A Practical Guide to Running Claude Code from the Terminal with AceData Cloud

A Practical Guide to Running Claude Code from the Terminal with AceData Cloud

When you are working inside a real codebase, the fastest AI workflow is often not another browser tab. It is a terminal command that can read the project, inspect diffs, explain code, write tests, and help you commit changes without leaving your shell.

This guide walks through a practical Claude Code CLI setup using AceData Cloud as the API proxy. The goal is simple: install claude, point it at https://api.acedata.cloud, and start using it for everyday builder tasks such as bug fixing, review, testing, and project memory.

What you can do

The Claude Code terminal experience is designed around natural language inside your project directory. Once configured, you can run the claude command in a terminal and ask it to inspect the repository, explain a module, fix a bug, write unit tests, refactor code, review a diff, or create a Git commit.

The documented CLI supports several useful entry points:

  • claude starts an interactive coding session.
  • claude "task" runs a one-time task such as claude "fix build error".
  • claude -p "query" executes a prompt and exits, which is useful for scripts.
  • claude -c continues the most recent conversation in the current directory.
  • claude -r restores the previous conversation.
  • claude commit creates a Git commit.

Inside interactive mode, the built-in commands include /help, /clear, /config, /model, /mcp, /compact, /memory, /login, and exit or Ctrl+C.

How it works

The setup relies on two environment variables supported by Claude Code. ANTHROPIC_AUTH_TOKEN provides the authorization token, and ANTHROPIC_BASE_URL tells Claude Code where to send API requests. In this workflow, the base URL is set to https://api.acedata.cloud.

The documentation notes that ANTHROPIC_AUTH_TOKEN is used as the value for a custom Authorization header and that the Bearer prefix is added automatically when sent to the server. It also lists ANTHROPIC_API_KEY, which is sent as an X-Api-Key header, along with optional model-related variables such as ANTHROPIC_MODEL, ANTHROPIC_SMALL_FAST_MODEL, MAX_THINKING_TOKENS, and DISABLE_COST_WARNINGS.

Install the CLI

Claude Code supports macOS, Linux, Windows, and WSL. The native installer is the recommended path in the guide because it handles dependencies and updates in the background.

# macOS / Linux / WSL
curl -fsSL https://claude.ai/install.sh | bash

On Windows PowerShell, the documented installation command is:

irm https://claude.ai/install.ps1 | iex

And on Windows CMD:

curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd

If you prefer package managers, the guide also lists brew install claude-code for macOS or Linux and winget install Claude.ClaudeCode for Windows.

Configure AceData Cloud as the API endpoint

There are two documented ways to configure the proxy. The first is to put the variables in your shell configuration file, such as ~/.zshrc, ~/.bashrc, or ~/.bash_profile. Replace {token} with the API token copied from the AceData Cloud console.

# AceData Cloud - Claude Code Proxy Configuration
export ANTHROPIC_AUTH_TOKEN="{token}"
export ANTHROPIC_BASE_URL="https://api.acedata.cloud"

After editing the shell file, reload it:

source ~/.zshrc  # or source ~/.bashrc

The second option is to scope the configuration only to Claude Code by editing ~/.claude/settings.json and adding an env block:

{
  "env": {
    "ANTHROPIC_AUTH_TOKEN": "{token}",
    "ANTHROPIC_BASE_URL": "https://api.acedata.cloud"
  }
}

I usually prefer the settings file for team projects or machines that may also run other Anthropic-compatible tooling, because it keeps the variables local to Claude Code.

Use it in a real project

Once the CLI is installed and configured, move into a repository and start an interactive session:

cd /path/to/your/project
claude

From there, ask direct, concrete questions. For example:

> what does this project do?
> there's a bug where users can submit empty forms - fix it
> write unit tests for the calculator functions
> refactor the authentication module to use async/await
> commit my changes with a descriptive message
> create a pr for this feature

For non-interactive workflows, claude -p is the most useful pattern. It lets you pipe data into Claude Code and get a focused result back. The guide gives examples such as reviewing a diff or monitoring logs:

git diff main | claude -p "review these changes"

tail -f app.log | claude -p "notify me if an anomaly is detected"

claude -p "translate any new text strings to French and create a PR"

Add project memory with CLAUDE.md

For recurring work, create a CLAUDE.md file in the project root. Claude Code automatically loads this file at startup, so it is a good place to describe the stack, conventions, and constraints that should shape every answer.

# Project Description
This is a full-stack project using Django + Vue.js.

## Coding Standards
- Use Python 3.12
- Follow PEP 8 coding style
- All APIs need to have unit tests

This is a small habit, but it changes the quality of agentic coding sessions. Instead of repeating “use Python 3.12” or “write tests for APIs” in every prompt, you encode the project context once and let the CLI load it with the repository.

Debugging checklist

If the connection fails, the guide suggests checking whether ~/.claude/config.json contains {"primaryApiKey": "self"}, confirming that the environment variables are set correctly, verifying the token in the console, and restarting the terminal.

echo $ANTHROPIC_AUTH_TOKEN
echo $ANTHROPIC_BASE_URL

If the shell reports command not found: claude, close and reopen the terminal, check PATH, or reinstall with the native installer:

echo $PATH
curl -fsSL https://claude.ai/install.sh | bash

Closing thoughts

The best terminal agents feel boring in the right way: a command you can trust, a predictable environment, and enough project memory to avoid repeating yourself. With ANTHROPIC_BASE_URL pointed to AceData Cloud and a clear CLAUDE.md in your repo, Claude Code becomes a practical part of the development loop rather than a separate chat window.

Read the full setup reference in the Claude Code Terminal CLI Integration Guide.

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