Individual skill
together-rate-limits
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".
skills/.curated/together-rate-limits/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- together-ai Declared skill tag
- rate-limits Declared skill tag
- engineering Derived category
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SKILL.mdcore · 3,942 bytesreferences/official-docs.mddoc · 3,032 bytes
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# 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