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Vinkius

Sliding Window Rate Limiter Connector for AI agents.

3 live capabilities

Prevent API 429 errors with precise request quota management.

Live agent request Sliding Window Rate Limiter / Connector

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AI Agent

Why people use Sliding Window Rate Limiter

Stop API 429 errors with Sliding Window Rate Limiter

With this Connector, that guesswork disappears. Your agent knows the state of your quota before it even attempts a call, ensuring every request is authorized and safe.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You stop hitting 4/29 errors by knowing exactly when to send your next request.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Preventing agent collisions

    When multiple agents try to hit a single LLM endpoint simultaneously, use this Connector to queue them properly.

  2. Real-world use case 02

    Managing bursty API traffic

    An engineer uses `validate_request` to ensure a sudden spike in tasks doesn't trigger a lockout from a critical service.

  3. Real-world use case 03

    Monitoring quota depletion

    A developer checks usage percentages via `summarize_usage` to decide when to scale up their API tier.

Complete set · 3capabilities

The complete Sliding Window Rate Limiter capability set.

These are the exact actions your AI can choose when you ask it to work with Sliding Window Rate Limiter.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Sliding Window Rate Limiter.

  1. 01 Capability

    Check rate limit

    Determines if a specific request can proceed under the current rate limit configuration

  2. 02 Capability

    Get provider quotas

    Retrieves the currently configured rate limit definitions for a specific provider

  3. 03 Capability

    Get usage summary

    Provides an overview of current consumption across all models for a given provider

Set up in minutes

One URL. Then ask Sliding Window Rate Limiter to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Sliding Window Rate Limiter from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_USHbDW02FrEsJzJcyKPDZVpinU9suBOgDwu60VwU/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Sliding Window Rate Limiter, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Sliding Window Rate Limiter for the conversation.

Where the request belongs

Work Sliding Window Rate Limiter can move forward.

Built around the request

Backend engineers and AI orchestrators who are tired of debugging broken pipelines caused by unexpected rate limits.

01

DevOps Engineer

Managing API stability across large-scale agent deployments.

02

AI Agent Developer

Ensuring multi-agent workflows don't overwhelm downstream services.

03

Backend Architect

Designing resilient systems that handle bursty traffic without manual intervention.

Bring your own AI

Change the model, client or framework. Keep Sliding Window Rate Limiter connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Sliding Window Rate Limiter.

The practical details behind the request, access and result.

How does Sliding Window Rate Limiter prevent API errors?

It tracks every request in a moving timeframe, allowing your agent to see if a call will be blocked before it even happens.

Can I use Sliding Window Rate Limiter with Claude or Cursor?

Yes. Any MCP-compatible client like Claude, Cursor, or Windsurf can connect to this Connector to manage your API traffic.

Does the Sliding Window Rate Limiter help with multi-agent systems?

Absolutely. It is designed specifically to coordinate shared quotas across multiple agents so they don't overwhelm a single service.

How do I check my current API usage with this Connector?

You can simply ask your agent for a summary of your usage, and it will provide the current percentage of capacity used.

Will the Sliding Window Rate Limiter slow down my requests?

No. The check happens almost instantly, adding negligible latency to your existing workflow.

How does the sliding window differ from a fixed window?

A fixed window resets at specific clock intervals (e.g., every hour), which can allow bursts of traffic at the boundary. A sliding window uses a continuous timeframe, ensuring that the number of requests is always measured against the most recent duration.

Can I use `validate_request` to prevent API key exhaustion?

Yes. By tracking your request timestamps and using validate_request, you can proactively check if a new request will exceed your quota before actually making the call, saving both time and resources.

What is the purpose of `prune_history`?

prune_history removes timestamps that have moved past the sliding boundary into the expired zone, keeping your request history array small and efficient for subsequent calculations.

How does the sliding window approach differ from a fixed window?

Unlike fixed windows that reset at specific intervals, the sliding window tracks individual request timestamps. This prevents 'bursting' where double the allowed limit is processed right at the boundary of two windows.

Can I use this to manage OpenAI API limits?

Yes. By using evaluate_request with your provider's specific window and request limit, you can ensure your agents never trigger a 429 Too Many Requests error.

What does `get_window_density` tell me?

It provides a percentage of how much of your current window capacity is currently occupied by active requests, helping you monitor usage intensity.

How does this prevent 429 errors?

It uses check_rate_limit to determine if a request will exceed the quota. If the limit is reached, it provides the exact sleep_time_ms to wait, ensuring agents stay within the allowed window.

What is the difference between fixed and sliding windows?

Fixed windows reset at static time blocks, while sliding windows use a moving period relative to the current timestamp for smoother enforcement.

Can I monitor my current usage?

Yes, you can use get_usage_summary to see the usage percentage and status for each model under a specific provider.

One connection away

Give your agent a direct line to Sliding Window Rate Limiter.

Connect Sliding Window Rate Limiter once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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