Individual skill

openrouter-load-balancing

Distribute OpenRouter requests across multiple keys and models for high throughput. Use when scaling beyond single-key rate limits or building high-availability systems. Triggers: 'openrouter load balance', 'openrouter scaling', 'distribute openrouter requests', 'multiple api keys'.

skills/.curated/openrouter-load-balancing/SKILL.md

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# OpenRouter Load Balancing

## Overview

A single OpenRouter API key has rate limits (requests/minute and tokens/minute). To scale beyond those limits, distribute requests across multiple keys. OpenRouter also provides server-side load balancing via provider routing and the `:nitro` variant for low-latency inference. This skill covers multi-key rotation, health-based routing, circuit breakers, and concurrent request patterns.

## Prerequisites

- Two or more OpenRouter API keys exported as `OPENROUTER_KEY_1`, `OPENROUTER_KEY_2`, `OPENROUTER_KEY_3` so the `KeyPool` has keys to rotate — see the `openrouter-install-auth` skill for creating and exporting keys
- `OPENROUTER_API_KEY` exported for the single-key concurrent-processing pattern
- Python 3.8+ with the OpenAI SDK and `requests` (`pip install openai requests`) — the concurrent example uses `AsyncOpenAI` from the same package
- Adequate credits on every key in the pool; per-key quota is visible via `GET /api/v1/auth/key`

## Instructions
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