Skill

openrouter-performance-tuning

Optimize OpenRouter request latency and throughput. Use when performance is critical for your application. Trigger with phrases like 'openrouter performance', 'openrouter latency', 'openrouter speed', 'optimize openrouter'.

From openrouter-pack

Install

Run in your terminal

npx claudepluginhub nickloveinvesting/nick-love-plugins --plugin openrouter-pack

Tool Access

This skill is limited to using the following tools:

ReadWriteEditGrep

Supporting Assets

View in Repository

references/batch-processing.md

references/best-practices-summary.md

references/caching-strategies.md

references/configuration-tuning.md

references/errors.md

references/examples.md

references/latency-optimization.md

references/model-selection-for-speed.md

references/monitoring-&-profiling.md

references/request-optimization.md

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Last CommitMar 20, 2026

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View Source View Plugin View on GitHub View README

Instructions

Measure baseline latency: Log time-to-first-token (TTFT) and total response time for each request; establish a baseline before optimizing

Use streaming for perceived speed: Enable stream: true to display tokens as they arrive, reducing perceived latency even if total time is unchanged

Choose faster models: Smaller models (e.g., google/gemma-2-9b-it:free, anthropic/claude-3-haiku) have significantly lower latency than large reasoning models

Parallelize independent requests: When you need multiple completions, send requests concurrently using Promise.all or asyncio.gather instead of sequentially

Reduce round trips: Minimize the number of API calls by batching related prompts, using larger context windows, or combining multi-step tasks into single prompts

Error Handling

Error

Cause

Fix

High TTFT (>5s)

Model is cold-starting or overloaded

Switch to a different provider of the same model; use streaming

Timeout errors

Request exceeded client timeout

Increase timeout for large completions; reduce max_tokens

Throughput bottleneck

Sequential request processing

Implement connection pooling and concurrent requests

See ${CLAUDE_SKILL_DIR}/references/errors.md for full error reference.

Openrouter Performance Tuning

Overview

This skill provides techniques for reducing latency, increasing throughput, and optimizing the performance of your OpenRouter integration.

Prerequisites

Working OpenRouter integration
Performance metrics collection (response times, throughput)

Instructions

Measure baseline latency: Log time-to-first-token (TTFT) and total response time for each request; establish a baseline before optimizing
Use streaming for perceived speed: Enable stream: true to display tokens as they arrive, reducing perceived latency even if total time is unchanged
Choose faster models: Smaller models (e.g., google/gemma-2-9b-it:free, anthropic/claude-3-haiku) have significantly lower latency than large reasoning models
Parallelize independent requests: When you need multiple completions, send requests concurrently using Promise.all or asyncio.gather instead of sequentially
Reduce round trips: Minimize the number of API calls by batching related prompts, using larger context windows, or combining multi-step tasks into single prompts

Output

Latency benchmarks (TTFT and total time) for each model you use
Throughput metrics (requests per second) under concurrent load
Optimized configuration with measurable performance improvements

Error Handling

Error	Cause	Fix
High TTFT (>5s)	Model is cold-starting or overloaded	Switch to a different provider of the same model; use streaming
Timeout errors	Request exceeded client timeout	Increase timeout for large completions; reduce `max_tokens`
Throughput bottleneck	Sequential request processing	Implement connection pooling and concurrent requests

See ${CLAUDE_SKILL_DIR}/references/errors.md for full error reference.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for runnable code samples.

openrouter-performance-tuning

openrouter-performance-tuning

Openrouter Performance Tuning

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources

Openrouter Performance Tuning

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources