| name | clade-load-scale |
| description | Scale Claude usage for high-throughput applications — batches, queues,
Use when working with load-scale patterns.
concurrency control, and tier upgrades.
Trigger with "anthropic scale", "claude high volume", "anthropic throughput",
"scale claude api", "anthropic concurrent requests".
|
| allowed-tools | Read, Write, Edit |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","anthropic","claude","scale","throughput"] |
| compatibility | Designed for Claude Code |
Anthropic Load & Scale
Overview
Scale Claude usage for high-throughput applications. Covers four strategies: Message Batches (10K requests, 50% off, no rate limits), request queues with concurrency control via p-limit, tier upgrades (Tier 1-4 + Scale), and model selection for throughput (Haiku is 3-4x faster than Sonnet).
Scaling Strategies
Instructions
Step 1: Message Batches (Best for Bulk)
const batch = await client.messages.batches.create({
requests: items.map((item, i) => ({
custom_id: `${i}`,
params: { model: 'claude-sonnet-4-20250514', max_tokens: 1024, messages: [{ role: 'user', content: item }] },
})),
});
Step 2: Request Queue with Concurrency Control
import pLimit from 'p-limit';
const limit = pLimit(10);
const results = await Promise.all(
inputs.map(input =>
limit(() => client.messages.({
: ,
: ,
: [{ : , : input }],
}))
)
);