Unlock the Power of AI Models: Tetrate Agent Router Service with Continue
Learn how Tetrate Agent Router Service works with Continue to unlock advanced AI model capabilities for enhanced development workflows and productivity.

By Erica Hughberg and Brian Douglas
In the world of AI-assisted coding, writing, and workflow automation, efficiency and user-friendliness are essential. If you’re looking to enhance your processes, the combination of the Tetrate Agent Router Service and the versatile Continue platform provides a powerful and user-friendly solution.
This blog post will explain how leveraging this integration can help you access a comprehensive catalog of AI models, streamlining your workflow and enhancing your development processes.
Introducing Continue
Continue is an open-source AI code assistant designed to integrate seamlessly into a developer’s workflow within popular IDEs, such as VS Code and JetBrains. It enhances productivity by providing AI-powered assistance for various tasks, such as coding, writing, planning, and more.
Setting Up Your Continue Agent
The strength of Continue lies in its flexibility. When you define your agent, you use building blocks like models, Rules, MCP Servers, and Context. The benefit of these blocks is that you can reuse them across different agents, share them with others, and even remix them.
You can define how your agent should behave. If you are setting up a documentation writing agent, you can define specific rules for writing standards and when to use them, or check out rules already created by someone else. Another example is establishing specific agent rules for coding languages, like Java or Go, used by your organization.
When setting up your agent, you provide models, context, MCP servers, and helpful prompts that you can reuse, tailoring your agent for the specific task.
Check out the Technical Documentation Writer agent on the Technical Documentation Writer Agent from the Tetrate Organization on the Continue Hub.
Using Multiple AI Models for Optimal Results
A single specialized agent can need multiple models to succeed. For example, consider a technical writing agent. A typical workflow involves using Claude Sonnet 4 for the technical details and then transitioning to a GPT model for fine-tuning the language, instructing it to ensure accessibility through simpler sentences and a supportive tone. This multi-layered approach guarantees that the documentation is not only technically sound but also user-friendly.
With the Agent Router Service, you can access multiple models from multiple providers with a single account.
Configuring the Tetrate Agent Router Service in Continue
To allow you to utilize a range of providers effectively, you integrate the Agent Router Service with Continue. With this integration, you gain easy access to multiple providers and a wide range of models, providing a consolidated view of billing, performance, and logs that simplifies model management. Setup involves obtaining an API key from the Agent Router Service, incorporating it into Continue, and adding it to your secrets within the Continue hub or in your local setup. With this setup, adding new models, such as GPT-4 or alternatives, becomes seamless.
When configuring a model in Continue you can leverage models already set up in the Tetrate organization on the Continue hub, or remix them to create your own.
For example, the configured model block looks like this:
Refer to the documentation on the Continue Hub for instructions on integrating Continue with the Agent Router Service.
Getting Started with VS Code and Continue
Developers can easily start by utilizing the Agent Router Service model blocks available on Continue.dev. A practical starting point is to use or remix documentation writer agents, such as the one provided by Tetrate, and utilize them in VS Code. This not only saves time but also enhances productivity.
AI Assistance Beyond Code Generation
Have you ever wondered who might be behind the creation of a particularly great technical user guide? It is possible that it wasn’t written by a human tapping away at a keyboard. With tools like Continue and an AI documentation writer agent, it’s now easy to bring comprehensive and correct documentation to life.
A Documentation Writer Agent in your GitHub Workflow
Agents are most impactful when they don’t require a human to kick off their workflow. Having your agent follow up with writing documentation after a successful merge of a new feature into your codebase is what you need. Continue is the platform that makes these things possible, enabling you to put the agents you define to work where their work matters most.
A writer agent is just an idea, but if you’d like to see how to leverage Continue in more real-world GitHub workflows, leveraging the Continue CLI explore the Continue CLI in this blog post, “How I’m using Continue CLI to Automate Everything” by Brian Douglas at Continue.
Conclusion
When we integrate access to models with the Agent Router Service and Continue, we get a flexible combination of tools that enables a variety of workflows, from coding to writing and general productivity.
Sign up for the Agent Router Service and check out the Blocks from Tetrate on the Continue Hub, and get started building your own Agents.