Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.benchgen.com/llms.txt

Use this file to discover all available pages before exploring further.

​
How to Connect Custom Coder Agent

This guide shows you how to connect and use your custom coder agent from UBOS Agentspace directly in VS Code using the Cline extension. This integration allows you to leverage your custom AI agent for coding assistance, debugging, and development tasks directly in your IDE.

​
Overview

The Custom Coder Agent integration enables you to:
  • Access your UBOS Agentspace custom agents directly from VS Code
  • Use specialized coding agents with custom knowledge and capabilities
  • Leverage your agent’s custom actions and topics for development tasks
  • Maintain context and conversation history across coding sessions
PrerequisitesBefore you begin, ensure you have:
  • An active UBOS Agentspace account
  • A custom coder agent created in your Agentspace (see How to Create an Agent)
  • VS Code installed on your system
  • The Cline extension installed in VS Code

​
Step 1: Access Your Custom Agent in Agentspace

  1. Sign in to UBOS Agentspace Sign in to your UBOS Agentspace platform using your credentials. Sign in to Platform
  2. Navigate to My Agents Click on My Agents from the left sidebar to view all your available agents. Click to My Agents
  3. Locate Your Coder Agent Find your custom coder agent in the agents list. Click to Coder Agent
  4. Access Agent Advanced Settings Click on your agent to open its details page, then navigate to the Advanced tab in the left sidebar. Click Advanced Menu

​
Step 2: Configure Custom LLM Model

In the Advanced settings, you’ll see the Custom LLM Model Management section with important connection details: Custom LLM Model Details The system will display your agent’s connection information:
  • Model Running Status: Indicates if your model is active
  • LiteLLM URL: The endpoint URL for your agent (e.g., https://litellm-1819-....agentspaceuat.ubos.tech/)
  • Token: Your authentication token (displayed as sk-x)
  • Model Name: Your agent’s identifier (e.g., qwen3-coder-dt)
Keep your token secure and never share it publicly. The LiteLLM URL is unique to your agent and workspace. Your model must be in “Running” status to accept connections.

​
Step 3: Install and Configure Cline Extension

​
Install Cline Extension

  1. Launch VS Code and click on the Extensions icon in the left sidebar (or press Ctrl+Shift+X).
  2. In the extensions marketplace, search for Cline and install the extension. Search Cline Extension in VS Code
  3. After installation, you should see the Cline icon in your VS Code sidebar.

​
Configure Cline with Your Custom Agent

  1. Click on the Cline extension icon, then click on the settings/configuration button.
  2. Select OpenAI Compatible API Key as your provider type.
  3. Fill in the following information from your Agentspace Advanced settings: Configure Model Settings
    FieldValueExample
    Base URLYour LiteLLM URL from Agentspacehttps://litellm-1819-....agentspaceuat.ubos.tech/
    API KeyYour token from Agentspacesk-x (use your actual token)
    Model IDYour model nameqwen3-coder-dt
    Context Window SizeSet according to your model65000 (for qwen3-coder-dt)
  4. Optionally adjust Temperature (controls response creativity, 0.0–1.0) and Max Output Tokens.

​
Step 4: Test Your Connection

  1. Start a New Chat Open Cline and start a new conversation to test the connection.
  2. Send a Test Message 
    Can you create me a good tech company landing page?
  3. Verify Response Your custom agent should respond according to its configured personality and capabilities.

​
Test Agent Capabilities

Try these example queries to test different capabilities: 
Can you help me create a responsive navigation bar for my website?

Build a REST API with authentication using Node.js and Express

Create a React component for a product card with hover effects
Ask Questions and Test

​
Troubleshooting

IssuePossible CauseSolution
Connection & Auth FailedIncorrect URL or tokenVerify your LiteLLM URL and token in Agentspace Advanced settings
Model Not RespondingAgent is stoppedCheck that your agent status shows “Running” in Agentspace
Slow ResponsesNetwork or model loadCheck your internet connection and agent status
Unexpected ResponsesWrong model configurationVerify the model ID matches your agent name
If you encounter issues:
  1. Check that your agent is running in Agentspace
  2. Double-check all connection details
  3. Review VS Code’s output panel for error messages
Create different agents for different types of coding tasks (frontend, backend, DevOps, etc.) and switch between them in Cline based on your current work context.