Requesty

https://www.youtube.com/watch?v=xvTW_fTKygM&t=211s

Roo Code is a convenient coding assistant that can help you write scripts, build prototypes, and handle repetitive coding tasks faster. With Requesty, you can supercharge Roo Code even further—accessing 150+ LLMs (including Anthropic, DeepSeek, Deepinfra, Nebius, Openrouter, etc.) all through a single API key. In this post, we’ll demonstrate how to connect Roo Code with Requesty, set up fallback models, and optimize your system prompts to save tokens and money.

Table of Contents

Why Integrate Roo Code with Requesty?
Getting Started: Signing Up & Creating an API Key
Connecting Roo Code to Requesty
Exploring Models & Usage Stats
Fallback Policies (Load Balancing & Failover)
Logs & Cost Transparency
Feature Spotlight: System Prompt Optimization
See the Difference: A Quick Example
Wrap-Up

1. Why Integrate Roo Code with Requesty?

Instant Access to 150+ Models:
From Anthropic to GPT-4, you can switch providers with a single click—no extra API keys needed.
Fallback Safety:
If your primary model is overloaded or times out, Requesty automatically routes your request to a secondary model so you can keep coding without interruption.
Cost & Token Visibility:
Monitor exactly how many tokens you’re using, how much each request costs, and get detailed logs if you need to debug.
Optimizations:
Lower your prompt token count by as much as 90% for certain tasks, saving you money on every request.

2. Getting Started: Signing Up & Creating an API Key

Sign Up on Requesty
Go to app.requesty.ai/sign-up and create a free account if you haven’t already.
Create an API Key
- Once logged in, you’ll land on an onboarding page. Look for
  Client or Roo Code
  in the left menu or main section.
- Go to
  Manage API Keys
  and click
  Create API Key
  . Give it a name like roo-code.
- Copy your new key to the clipboard. (You can reset or delete it later.)
Check Out the Model List
If you’d like, click
“See Models”
to browse the many LLMs you can use. Filter by provider, price, or context window and pick the one that fits your coding needs.

3. Connecting Roo Code to Requesty

With your API key in hand:

Open Roo Code
: In the settings or preferences panel, you’ll see an option to manage your “configuration profiles.”
Select “Requesty”
as the
API Provider
.
Paste Your API Key
into the designated field.
Choose Your Model
(e.g., anthropic/claude-3-7-sonnet-latest or deepseek/any-model-latest) and save.

Just like that, Roo Code is now routing your requests through Requesty. No need to maintain separate API keys for each model—Requesty handles it all.

4. Exploring Models & Usage Stats

Back in your Requesty dashboard:

Model List
: You’ll see popular options like Claude, GPT, DeepSeek, and specialized coding LLMs. Over 150 models are available.
Usage Stats
: We show real-time data about how users (including you) are leveraging different models—front-end, back-end, data tasks, and more. These insights can guide you in choosing the right model for a particular coding challenge.

5. Fallback Policies (Load Balancing & Failover)

One major advantage of Requesty is its policy system:

Open “Manage API Keys”
→
“Add a Policy.”
Configure Fallbacks
: For example, if you want to try DeepSeek first (it’s cheap!) and then fail over to Nebius or Deepinfra, just add them in your preferred order.
Optionally, Set Load Balancing
: Distribute traffic across multiple models at once by assigning percentages (e.g., 50% to GPT-4, 50% to Claude).

Copy the policy snippet, paste it into your Roo Code configuration, and you’re set. Now your code suggestions continue even if one provider goes down.

6. Logs & Cost Transparency

Every time you prompt Roo Code, Requesty logs the request so you can see:

Exact Prompt & Response
(for debugging or auditing)
Token Counts
(input vs. output)
Costs
(in real-time)

You can also disable logs if you prefer not to store that data. But in general, it’s handy to review how much each coding session costs you and whether the token usage seems too high or just right.

7. Feature Spotlight: System Prompt Optimization

Roo Code often uses a detailed system prompt under the hood. Sometimes, you don’t need the entire system prompt—especially if you’re not using advanced features like MCPU or certain server-side capabilities.

Configure Features
: In your Requesty dashboard, select the
Features
tab for your API key.
Enable System Prompt Optimization
: For Roo Code, we have a special toggle (nicknamed “gou coder”) that can reduce the system prompt by up to 90%.
Lower Token Count
: This means your requests are smaller, faster, and cheaper. In some tests, we saw requests drop from
28k tokens
down to
9k
tokens—slashing the cost by two-thirds.

8. See the Difference: A Quick Example

Without Optimization

Prompt
: “Write a Snake game in Python”
Tokens
: ~28k input tokens
Cost
: 11 cents

With Optimization

Same Prompt
: “Write a Snake game in Python”
Tokens
: ~9k input tokens
Cost
: 3 cents

That’s a huge reduction in both tokens and cost—just by toggling one optimization feature!

9. Wrap-Up

Integrating Roo Code with Requesty gives you:

A single
API key
that taps into 150+ LLMs.
Fallback
policies for reliable code completions—even if a provider is down.
Logging
and
usage stats
to track every token and cost.
System prompt optimization
that can slash your token count (and bill) by up to 90%.

With Roo Code + Requesty, you’re free to explore, test, and build with confidence—knowing you’ve got the right model for every coding scenario, plus robust cost controls and fallback safety. Try it today and never look back!

Ready to get started?

Sign up for Requesty
or log in if you already have an account.
Generate an API key, paste it into Roo Code, and enjoy frictionless AI coding.
For questions, join our
Discord
or check out our Docs. We’re always happy to help you optimize your setup.

Happy coding!

Level Up Your Coding with Roo Code and Requesty

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