# Together Rate Limits

> Analyze and control Together AI serverless concurrency from dynamic per-model request/token heade…

Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. Use when preventing throttling or sizing inference traffic. Trigger with "Together rate limit", "Together 429", or "Together concurrency control".

- Page: https://ss33.ai/skills/jeremylongshore/together-rate-limits-23555000899
- Publisher: jeremylongshore
- Category: [Software Development](https://ss33.ai/skills/category/software-development-t44z8z) › [APIs & backend](https://ss33.ai/skills/category/software-development-t44z8z/apis-and-backend-t0x840)
- License: MIT
- Source: https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/6cc8e76343714d8807b4a5f1aa604b7ede5e497f/plugins/saas-packs/together-pack/skills/together-rate-limits/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/jeremylongshore/together-rate-limits-23555000899

# Together AI Dynamic Rate Limits

## Overview

This skill replaces fixed quota tables with adaptive control driven by Together's current response headers and observed workload demand.

## Prerequisites

- The exact model IDs and traffic profile by request and token volume
- Access to response headers from the HTTP or SDK transport
- Queue-latency, retry, spend, and failure budgets
- A decision owner for batch, provisioned, or dedicated capacity

## Tool Discipline

Use `Read`, `Glob`, and `Grep` to locate concurrency, queue, retry, and telemetry code. Use `WebFetch` for the current dynamic-limit header contract. Use `Write` or `Edit` only after the target limiter and tests are identified.

## Current Contract

- Serverless limits are dynamic per organization and model; historical account tiers are retired.
- Read request and token limit/remaining/reset headers on every response and maintain state per model.
- Treat displayed RPM as a per-second enforcement budget when Together documents that conversion.
- Use batch for delay-tolerant bursts and dedicated capacity for predictable reserved throughput.

## Authentication

Limit headers arrive on authenticated serverless inference responses using the project-scoped Bearer key. Record numeric headers and model alias only; never retain the credential or sensitive body.

## Instructions

1. Inventory callers, models, concurrency, token sizes, queue depth, and existing retries.
2. Capture the current `x-ratelimit-*` and `x-tokenlimit-*` fields from redacted responses.
3. Build independent request and token budgets keyed by model and organization context.
4. Admit work through a bounded queue; reserve headroom for retries and interactive traffic.
5. On `429`, honor reset evidence, apply jitter, and stop at the request deadline.
6. Load-test below approval bounds, then choose serverless, batch, or dedicated capacity from measured demand.

## Approval Boundaries

Do not manufacture fixed limits, increase retry concurrency after throttling, or move to paid reserved hardware without explicit cost and capacity approval.

## Output

Return observed headers, per-model limiter settings, queue/retry budgets, load-test evidence, dropped/deferred work, and capacity recommendation.

## Error Handling

| Condition | Response |
|---|---|
| Limit headers missing | Fall back conservatively and surface transport visibility as a blocker. |
| `429` persists | Reduce concurrency; do not multiply retries. |
| Queue deadline exceeded | Fail or defer according to workload policy. |
| Bursts dominate | Evaluate Batch API rather than chasing serverless limits. |

## Examples

The example below shows the minimum redacted evidence expected from a successful invocation of this operator workflow.

```text
model=catalog-id; limits=header-derived; queue=bounded; retry=jittered; overflow=batch-candidate
```

## Resources

- [Skill-specific official documentation](references/official-docs.md)
- [Serverless rate limits](https://docs.together.ai/docs/serverless/rate-limits)
- [Usage limits and analytics](https://docs.together.ai/docs/billing-usage-limits)
- [Batch overview](https://docs.together.ai/docs/inference/batch/overview)