Claude Code with Infercom via ccproxy

Advanced Setup - This integration requires running a local proxy. For simpler setups, consider Aider or OpenCode.

Claude Code is Anthropic’s official CLI for AI-assisted coding. While it’s designed for Claude models, you can route requests to Infercom using ccproxy, a LiteLLM-based proxy.

How It Works

ccproxy intercepts Claude Code’s API calls and routes them to your configured provider (Infercom). This allows you to use Claude Code’s interface while running inference on EU sovereign infrastructure.

Claude Code CLI -> ccproxy (localhost) -> Infercom API

Prerequisites

Claude Code CLI installed
Infercom API key
Node.js 18+ or Bun

Installation

Step 1: Install ccproxy

# Using npm
npm install -g ccproxy

# Or using Bun
bun install -g ccproxy

Step 2: Create Configuration

Create ~/.ccproxy/config.yaml:

model_list:
  # Route Sonnet requests to Infercom MiniMax
  - model_name: infercom
    litellm_params:
      model: openai/MiniMax-M2.7
      api_base: https://api.infercom.ai/v1
      api_key: "your-infercom-api-key"

  # Keep Claude models for complex tasks (optional)
  - model_name: claude-sonnet-4-6
    litellm_params:
      model: anthropic/claude-sonnet-4-6
      api_base: https://api.anthropic.com
      api_key: "your-anthropic-api-key"

litellm_settings:
  drop_params: true  # Required - drops unsupported params like reasoning_effort

Create ~/.ccproxy/ccproxy.yaml for routing rules:

ccproxy:
  rules:
    # Route Sonnet to Infercom
    - name: infercom
      rule: ccproxy.rules.MatchModelRule
      params:
        - model_name: claude-sonnet-4-6

litellm:
  host: 127.0.0.1
  port: 4000

drop_params: true is required because MiniMax doesn’t support all Claude parameters like reasoning_effort.

Map multiple Claude model names to ensure compatibility with different Claude Code versions.

Step 3: Start ccproxy

cd ~/.ccproxy && ccproxy start

You should see:

ccproxy running on http://127.0.0.1:4000

Keep this terminal open while using Claude Code.

Usage

Configure Claude Code

In a new terminal, set the API endpoint:

export ANTHROPIC_BASE_URL="http://127.0.0.1:4000"

Run Claude Code

claude

Switch Models

Use the /model command in Claude Code to select a model. The model name will show as “Claude” but requests are routed to MiniMax-M2.7.

Running ccproxy as a Service

macOS (launchd)

Create ~/Library/LaunchAgents/com.ccproxy.plist:

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
    <key>Label</key>
    <string>com.ccproxy</string>
    <key>ProgramArguments</key>
    <array>
        <string>/usr/local/bin/ccproxy</string>
    </array>
    <key>RunAtLoad</key>
    <true/>
    <key>KeepAlive</key>
    <true/>
</dict>
</plist>

Load the service:

launchctl load ~/Library/LaunchAgents/com.ccproxy.plist

Linux (systemd)

Create ~/.config/systemd/user/ccproxy.service:

[Unit]
Description=ccproxy for Claude Code
After=network.target

[Service]
ExecStart=/usr/local/bin/ccproxy
Restart=always

[Install]
WantedBy=default.target

Enable and start:

systemctl --user enable ccproxy
systemctl --user start ccproxy

Limitations

Known Limitations:

Model name displays as “Claude” in the interface even when using Infercom
Some Claude-specific features may not work (vision, computer use)
Requires keeping proxy running
VS Code extension is less reliable than CLI

Troubleshooting

Connection Refused

Ensure ccproxy is running:

curl http://127.0.0.1:4000/health

Authentication Errors

Verify your Infercom API key in ccproxy.yaml:

curl -s https://api.infercom.ai/v1/models \
  -H "Authorization: Bearer your-infercom-api-key"

Model Not Found

Check that your ccproxy.yaml maps the correct Claude model names:

model_name: "claude-sonnet-4-20250514"  # Must match what Claude Code requests

Slow Responses

ccproxy adds minimal latency. If responses are slow, check:

Your network connection to api.infercom.ai
Model load times (first request may be slower)

Security Considerations

ccproxy runs locally and doesn’t expose your API key to external services
All traffic to Infercom is encrypted (HTTPS)
Your code stays within the EU infrastructure

Alternative: Direct API

For simpler setups without the proxy overhead, consider:

Aider - 2 minute setup
OpenCode - Full TUI experience

Next Steps

Choosing a Tool - Compare all options
API Reference - Direct API usage

Get started

Models

Features

Agentic Coding

Build

Resources

Claude Code Integration Guide

How It Works

Prerequisites

Installation

Step 1: Install ccproxy

Step 2: Create Configuration

Step 3: Start ccproxy

Usage

Configure Claude Code

Run Claude Code

Switch Models

Running ccproxy as a Service

macOS (launchd)

Linux (systemd)

Limitations

Troubleshooting

Connection Refused

Authentication Errors

Model Not Found

Slow Responses

Security Considerations

Alternative: Direct API

Next Steps

​How It Works

​Prerequisites

​Installation

​Step 1: Install ccproxy

​Step 2: Create Configuration

​Step 3: Start ccproxy

​Usage

​Configure Claude Code

​Run Claude Code

​Switch Models

​Running ccproxy as a Service

​macOS (launchd)

​Linux (systemd)

​Limitations

​Troubleshooting

​Connection Refused

​Authentication Errors

​Model Not Found

​Slow Responses

​Security Considerations

​Alternative: Direct API

​Next Steps

How It Works

Prerequisites

Installation

Step 1: Install ccproxy

Step 2: Create Configuration

Step 3: Start ccproxy

Usage

Configure Claude Code

Run Claude Code

Switch Models

Running ccproxy as a Service

macOS (launchd)

Linux (systemd)

Limitations

Troubleshooting

Connection Refused

Authentication Errors

Model Not Found

Slow Responses

Security Considerations

Alternative: Direct API

Next Steps