Accelerate Your Development with the Requesty VS Code Extension

Mar 7, 2025

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Are you tired of juggling multiple LLM providers and struggling with slow or unreliable AI completions? The Requesty platform solves these challenges by letting you route your calls to over 150+ models, all from one place. In this post, we’ll walk through how to integrate our new Requesty VS Code extension into your workflow. We’ll also cover how to switch between providers quickly in Cline and Roo Code, highlight fallback strategies, and showcase other popular integrations like OpenWebUI—all while keeping your usage stats and cost in check.

Table of Contents

  1. Why Use the Requesty VS Code Extension?

  2. Getting Started

  3. Setting Up Your Requesty API Key

  4. Choosing & Switching Models Quickly

    • Cline Integration

    • Roo Code Integration

    • Policy-Based Fallbacks

  5. Bonus Features: Usage Stats, Caching, and More

  6. Other Integrations

    • OpenWebUI

    • VS Code Extension (Recap)

    • And More…

  7. Wrap-Up

Why Use the Requesty VS Code Extension?

Requesty unifies access to LLMs like OpenAI, Anthropic Claude, DeepSeek, Deepinfra, Nebius, Together AI, and many more into a single router endpoint. When you install the VS Code extension, you gain:

  • Seamless AI coding assistance right inside VS Code, no matter which model/provider you prefer.

  • On-the-fly switching between different LLMs—for example, GPT-4 for brainstorming and Claude for code completions.

  • Fallback strategies: If your primary model fails or returns errors, Requesty can seamlessly use another model to avoid downtime.

  • Usage analytics: Track your API usage, token consumption, and costs in real time.

Getting Started

  1. Install the VS Code Extension: Search for “Requesty” in the VS Code Marketplace and click “Install.”

  2. Sign Up for Requesty: If you haven’t already, head to app.requesty.ai/sign-up to create your account.

  3. Obtain Your API Key: In the Requesty dashboard, go to the Router page to create or copy your API key.

Once you have these pieces in place, you’ll be ready to integrate your code editor with your favorite LLMs—without ever leaving VS Code.

Setting Up Your Requesty API Key

When you open the Requesty VS Code extension (or the integrated settings panel), you’ll see a prompt to provide your API Key. Here’s how:

  1. Create an API Key in Requesty (Dashboard → “Create API Key”). Name it something memorable, like dev-key or cline-test.

  2. Copy this API key and paste it into the Requesty extension’s configuration in VS Code.

  3. Optionally, you can also specify any fallback “policy” (more on this below) or advanced routing parameters.

That’s it! You’ve now linked VS Code with the Requesty router.

Choosing & Switching Models Quickly

One of the biggest benefits of Requesty is the ability to switch models without juggling separate API endpoints. We maintain a list of 150+ models—including GPT-4, Claude, DeepSeek’s unlimited concurrency approach, and specialized coding LLMs.

Cline Integration

Cline is a coding assistant that can run in your editor or terminal. With Requesty, you can do:

  1. Configure Cline to Use Requesty:

    • Open Cline’s settings.

    • Choose “Requesty” as your provider.

    • Paste your Requesty API key and pick a model ID from the Requesty Model List (e.g., openai/gpt-4o or anthropic/claude-3-7).

  2. Instant Model Switching: If you want to switch to a different LLM—for instance, from Claude to GPT-4—just update the model ID in your settings. No need to reconfigure or switch accounts.

  3. Fallback Policies: If your chosen model times out, Requesty can automatically route your request to a second model (e.g., from DeepSeek to Nebius).

Roo Code Integration

Roo Code is another popular coding agent that helps you write, debug, and refactor code. Using Requesty:

  1. Select “Requesty” as the API provider in Roo Code’s extension or config settings.

  2. Paste Your API Key from Requesty.

  3. Pick Your Model from the Model List (or a custom “Dedicated Model” if you have one).

  4. Enjoy: Roo Code will now route completions via Requesty. Switch models in seconds by updating the model parameter (e.g., together/vicuna-13b to openai/gpt-3.5-turbo).

You can create as many API keys or usage policies as you need for your workflow—especially handy if you maintain multiple environments, like dev and production.

Policy-Based Fallbacks

A fallback policy is a lifesaver when a provider is temporarily overloaded:

  1. In your Requesty Dashboard, click on Manage API Keys → Add a Policy.

  2. Specify an order of preference. For example:

    • 1st: deepseek/any-latest

    • 2nd: anthropic/claude-3-7-sonnet-latest

    • 3rd: openai/gpt-3.5-turbo

  3. Copy the Policy snippet and paste it into your extension config.

Now if DeepSeek is slow or returns errors, Requesty will retry automatically with Claude or GPT. You stay coding—no manual switching required.

Bonus Features: Usage Stats, Caching, and More

When you’re in the Requesty dashboard, you’ll see more than just a list of models:

  1. Usage Stats: Track tokens used, total cost, or requests per day. Great for staying within budgets or spotting unexpected spikes in usage.

  2. Caching: Enable cache optimizations so that repeated requests (e.g., the same prompt or instructions) don’t burn tokens each time. You can toggle caching in the “Features” or “Settings” panel in the dashboard.

  3. System Prompt Optimizations: Requesty can automatically optimize the system prompt before sending it to the model. This helps reduce token count—i.e., no more 12k tokens for a simple code request!

From the transcript example:

“With one request, we initially used 12,800 tokens, then dropped to 8,800 tokens just by letting Requesty optimize the prompt size and context.”

This can lead to major cost savings over time.

Other Integrations

While the new VS Code extension is our latest highlight, remember that you can integrate Requesty with plenty of other tools:

OpenWebUI

  • Go to “Admin Settings” → Switch the URL to https://router.requesty.ai/v1 → Paste your API key.

  • Instantly access 150+ LLMs through the familiar OpenWebUI interface.

VS Code Extension (Recap)

  • Search “Requesty” in the VS Code Marketplace.

  • Configure your API key.

  • Choose your favorite LLM and watch the completions flow in real time—no separate installs or keys needed for each provider.

And More

  • Cline: As described above, just pick Requesty from the “API Provider” dropdown, paste your key, and you’re set.


  • Roo Code: Same approach—select “Requesty,” drop in your key, and choose a model ID.


  • Other Tools: We also have integrated pathways for:


    • OpenAI Python or TypeScript SDK

    • Anthropic

    • Nebius

    • Deepinfra

    • Together AI

    • Custom self-hosted solutions

If you’re curious about an integration not listed here, join our Discord or send us a message—chances are we can support it.

Wrap-Up

The Requesty VS Code extension makes it easy to unify your AI coding tools and avoid the hassle of maintaining different API endpoints or accounts. Whether you’re a fan of Cline, Roo Code, or standard vs-code plugins, our router ensures you can quickly switch models, manage usage, and never get stuck when a single provider goes down.

Ready to give it a spin?

  1. Sign up for Requesty or log in.

  2. Install the VS Code extension.

  3. Add your API key and pick a model.

  4. Write (or generate!) some code to see how smooth your new LLM workflow feels.

If you have questions or want more guidance, check out our Docs and FAQ or hop into the Requesty Discord to chat with our team and community. Enjoy error-free, multi-provider AI coding right in your favorite editor!

Questions or feedback?
 Drop us a line on Discord or email us at [email protected]. We’re here to help you get the most out of your LLMs—no matter which provider you prefer. Happy coding!

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