steel-api

byGanavi Gangaraj

"API Rate Limit Manager: Developers frequently hit "too many requests" errors when integrating fast, high-volume endpoints like Groq or OpenAI. A middleware layer that automatically queues, retries, and load-balances API calls prevents application crashes without the developer having to write complex retry logic from scratch." - Build me this

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System Requirements

System Requirement Document
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steel-api System Requirements Document

1. Introduction

The steel-api project aims to provide a robust middleware solution that manages API rate limits effectively. This middleware will automatically queue, retry, and load-balance API calls to prevent application crashes, especially when integrating with high-volume endpoints like Groq or OpenAI.

2. System Overview

The steel-api middleware is designed to handle API rate limits by managing requests efficiently. It will ensure that developers do not need to implement complex retry logic, thus simplifying the integration process with high-demand APIs.

Key Features:

  • Automatic queuing of API requests
  • Retry mechanism for failed requests due to rate limits
  • Load balancing to distribute API calls evenly

3. Functional Requirements as Story Points

  • As a Developer, I should be able to integrate the middleware without writing complex retry logic.
  • As a Developer, I want the middleware to automatically queue API requests when rate limits are reached.
  • As a Developer, I want the middleware to retry API requests that fail due to rate limits.
  • As a Developer, I want the middleware to load-balance API calls to prevent application crashes.
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4. User Personas

  • Developer: The primary user of the steel-api middleware, responsible for integrating APIs into applications and ensuring smooth operation without exceeding rate limits.

5. Core User Flows

  1. Developer integrates the middleware into the application.
  2. Application makes API requests to high-volume endpoints.
  3. Middleware queues requests when rate limits are approached.
  4. Middleware retries requests that fail due to rate limits.
  5. Middleware load-balances requests to prevent application crashes.

6. Visuals Colors and Theme

[Default — not specified by user]

  • primary: #007BFF (a strong blue for brand recognition)
  • primary_light: #66B2FF (a lighter blue for hover states)
  • secondary: #6C757D (a neutral gray for supporting elements)
  • accent: #28A745 (a green for call-to-action elements)
  • highlight: #FFC107 (a yellow for notifications and active states)
  • bg: #FFFFFF (a clean white background)
  • surface: #F8F9FA (a light gray for cards and panels)
  • text: #212529 (a dark gray for primary text)
  • text_muted: #6C757D (a softer gray for secondary text)
  • border: #DEE2E6 (a subtle gray for borders)
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7. Signature Design Concept

Interactive API Flow Visualization

The landing page will feature an interactive flow diagram that visualizes the journey of an API request through the middleware. Users can click on different stages of the flow (queueing, retrying, load-balancing) to see detailed animations and explanations of each process. This will be implemented using motion/react for smooth transitions and interactions.

Landing Hero Motion Brief

The hero section will depict an API request entering the middleware, being queued, retried, and finally balanced across endpoints. The animation will loop every 10 seconds, showing the transformation of a request into a successful response. The scene will use layered SVGs for depth and motion/react for animation, ensuring a seamless experience across devices.

8. Interaction Model & Motion Direction

  • Interaction Model: Animated
  • The landing page will feature moderate scroll-triggered reveals and hover transitions, with spring physics applied to interactive elements. This approach will highlight the middleware's capabilities in a dynamic and engaging manner.

9. Non-Functional Requirements

  • The middleware must handle at least 10,000 requests per minute.
  • The system should have a latency of less than 100ms for queuing and retry operations.
  • The middleware must be compatible with major API endpoints like Groq and OpenAI.
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10. Tech Stack

  • Frontend: React for Web
  • Backend: Python, FastAPI
  • Database: MySQL or MariaDB, using Alembic for migrations
  • Local Orchestration: Docker, docker-compose
  • Server-side Orchestration: Kubernetes

11. Assumptions and Constraints

  • The middleware will primarily be used by developers integrating with high-volume APIs.
  • The system assumes a stable network connection for optimal performance.
  • Constraints include API rate limits imposed by third-party services.

12. Glossary

  • API: Application Programming Interface
  • Middleware: Software that acts as a bridge between an operating system or database and applications, especially on a network.
  • Rate Limit: The maximum number of API requests that can be made in a given time period.
  • Queueing: The process of lining up requests to be processed in order.
  • Retry: Attempting to resend a failed request.
  • Load Balancing: Distributing network or application traffic across multiple servers.
Landing design preview
Landing: View Demo
Signup: Create Account
Login: Sign In
Dashboard: View Overview
Integration: Get API Key
Docs: View Guide
Dashboard: Monitor Queue
Dashboard: View Retries
Dashboard: View Load Balancing
Settings: Configure Rate Limits
Analytics: View Metrics
Settings: Manage API Keys
Landing design preview
Landing: View Demo
Signup: Create Account
Login: Sign In
Dashboard: View Overview
Integration: Get API Key
Docs: View Guide
Dashboard: Monitor Queue
Dashboard: View Retries
Dashboard: View Load Balancing
Settings: Configure Rate Limits
Analytics: View Metrics
Settings: Manage API Keys