Cline Integration Guide

Configure Cline VS Code extension with Infercom’s EU sovereign inference. Autonomous AI coding assistant with Plan/Act modes and GDPR compliance.

Cline is a VS Code extension that provides an autonomous AI coding assistant. It can read files, write code, run commands, and iterate on its work.

Setup time: ~2 minutes

Prerequisites

• VS Code installed
• Cline extension installed
• Infercom API key

Configuration

Step 1: Open Cline Settings

1. Open VS Code
2. Click the Cline icon in the sidebar
3. Click the gear icon to open settings

Step 2: Select Provider

1. In the API Provider dropdown, select OpenAI Compatible
2. Enter the base URL: https://api.infercom.ai/v1
3. Enter your Infercom API key
4. Enter the model name: MiniMax-M2.7

Step 3: Model Configuration

Under Model Configuration:

Setting	Value
Context Window Size	192000
Support Images	Disabled
Enable R1 Format	Disabled

Support Images must be disabled - MiniMax-M2.7 doesn’t support image input.

Step 4: Verify Connection

Click Test Connection or start a conversation to verify the setup works.

This single-model setup is the simplest option and works well for most tasks. For complex projects, see the Plan/Act configuration below.

Optional: Plan/Act Modes

For complex tasks, Cline supports separate models for planning and execution. Use a frontier model (Claude, GPT, Gemini) for planning and MiniMax-M2.7 on Infercom for fast code generation.

Enable Plan/Act Modes

1. In Cline settings, toggle “Use different models for Plan and Act modes”
2. Configure each mode separately:

Mode	Provider	Model	Purpose
Plan	Your preferred provider	Claude, GPT, Gemini	Deep reasoning for architecture decisions
Act	OpenAI Compatible (Infercom)	MiniMax-M2.7	Fast code generation on EU sovereign infrastructure

Cline preserves planning context when switching into Act mode, so MiniMax-M2.7 can continue from the plan instead of starting from scratch.

Model

Use MiniMax-M2.7 - optimized for agentic coding with 192K context window.

Usage

With Cline configured:

1. Click the Cline icon in VS Code sidebar
2. Type your request in the chat
3. Cline will autonomously:
   • Read relevant files
   • Write or edit code
   • Run terminal commands
   • Iterate until the task is complete

Example Tasks

• “Add error handling to the login function”
• “Write unit tests for the User class”
• “Refactor this file to use async/await”

Troubleshooting

Connection Failed

Verify your configuration:

• Base URL: https://api.infercom.ai/v1
• API key is valid
• Model name is exact: MiniMax-M2.7

Model Not Found

Ensure the model name matches exactly (case-sensitive): MiniMax-M2.7

Slow Responses

MiniMax-M2.7 runs at 400+ tokens/sec. If responses seem slow:

1. Check your network connection
2. Large context (many files) increases processing time
3. First request may be slower due to model loading

Next Steps

• Cursor - Full AI-native IDE
• Continue - Open-source alternative
• Choosing a Tool - Compare all options