Documentation Index
Fetch the complete documentation index at:https://docs.llmrouter.app/llms.txt Use this file to discover all available models, tags, and features before exploring further.
TRAE Integration
TRAE (/treɪ/) is a developer-friendly IDE that offers AI Q&A, inline code completion, and powerful agentic programming workflows. Connecting TRAE to LLM Router gives you access to intelligent tag-based routing, automatic Skill injection, context optimization, Zero Data Retention (ZDR), and significant cost savings.Step 1: Install and Launch TRAE
1
Download and Install
Go to the TRAE website and download & install TRAE.
2
First Launch
On first launch, you will see the setup screen. Click Get Started to
begin the setup.
Step 2: Configure LLM Router in TRAE
Use your LLM Router API key to add models from LLM Router.1
Open Models
In the chat sidebar, click the Settings icon at the top-right, then go to Models.
2
Add Custom Model
Click + Add Model to open the model creation dialog.
3
Enter Configuration Details
- Provider: Select OpenAI Compatible (or OpenAI if available)
- Base URL:
https://api.llmrouter.app/v1 - API Key: Enter your LLM Router API Key (
sk_llmr_...) - Model: Enter any supported model in provider/model format, for example:
anthropic/claude-opus-4.6openai/gpt-5.4google/gemini-3.1-proxai/grok-4.20
4
Validate and Save
Click Add Model. TRAE will validate the connection.
Once successful, your model will appear and can be selected for use.
Once successful, your model will appear and can be selected for use.
Step 3: Get Started with TRAE + LLM Router
- Select your LLM Router model in TRAE.
- Start coding with AI assistance for:
- Feature implementation
- Code generation and refactoring
- Debugging and explanations
- Agentic workflows and automation
FAQ
Routing & Configuration
Routing rules, tags, and features like Zero Data Retention are managed in the LLM Router Dashboard. Any changes made there will automatically affect requests from TRAE.Connection Issues
- Double-check that your LLM Router API key is correct and active.
- Ensure the Base URL is set exactly to
https://api.llmrouter.app/v1 - Verify your internet connection.
- If issues persist, check the error message shown in TRAE.
Resources
- TRAE Website: trae.ai
- LLM Router Dashboard: Log in to manage your API keys, tags, Skills, and routing settings.