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What is TRAE?

TRAE (The Real AI Engineer) is an AI-native development platform launched by ByteDance. The international version went live in January 2025, followed by the China version in March of the same year. It offers two working paradigms: IDE mode retains the full editor, terminal, debugging, and Git workflows, making it suitable for in-depth coding and precise debugging; Agent mode is AI-driven, autonomously handling the entire workflow from requirement understanding, code generation, and testing to result preview, and can orchestrate multiple agents working in parallel across projects within the same workspace. The product is available as a desktop IDE, web app, and mobile app, as well as plugins for VS Code, JetBrains, and Android Studio, plus a terminal CLI. The platform comes with built-in Agent agents, CUE code completion, codebase indexing, # context references, Rules, Memories, and Skills, and extends its capabilities through MCP, custom agents, and Hooks. It also supports Figma-to-code conversion, browser and computer operations, cloud tasks, and scheduled tasks. Official website: https://www.trae.ai/ GitHub: https://github.com/bytedance/trae-agent

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How to Integrate Interface AI into TRAE?

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Get an API Key

  1. Log in to the official website jiekou.ai to register.
  2. Go to the admin console, click “My” in the upper right corner, and select “API Key Management” from the dropdown list.
  3. Click “Create” and enter a key name. It is recommended to use a recognizable name so you can easily distinguish keys for different purposes in the console later.
  4. Click to copy and record the generated Key. It cannot be viewed again in the console, so please keep it safe for future use.

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Integrate Interface AI into TRAE

  1. Find the model selection list at the bottom of the dialog box on the right side of TRAE, and click “Add Model”
  1. Click “Custom Model”
  2. Paste the API Key you just copied, enter the URL, fill in the model ID as needed, and select the API format supported by the model
  1. Click “Add Model” to test model connectivity (testing consumes a small amount of quota). If the following prompt appears, the connection is successful.
  2. You can select the model services provided by Interface AI in the conversation to make calls
Last modified on November 5, 2026