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Backend & APIs · Together AI
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Analyze and diagnose Together AI authentication, billing, request, model, throttling, overload, batch, fine-tuning, and endpoint failures from redacted evidence. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 2 | Deploy and roll back Together AI integrations across serverless inference or v2 Dedicated Model Inference with secret injection, health probes, traffic control, and cost shutdown. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 3 | Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. | jeremylongshore/ | 2.8k | — | ~986 | Automated safety check: Pass | MIT | yesterday |
| 4 | Design a production Together AI service with a typed provider boundary, policy-based model routing, serverless and dedicated lanes, batch workers, telemetry, budgets, and reversible degradation. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 5 | Convert Together AI batch, fine-tuning, upload, and dedicated-deployment job states into idempotent internal events using bounded polling and an optional owned callback. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 6 | A skill your agent uses when calling open-weight LLMs on Together AI or Fireworks AI's OpenAI-compatible endpoints — baseurl plus namespaced model id, the cheapest model that clears the bar… | ericrisco/ | 180 | — | ~3.3k | Automated safety check: Pass | MIT | 2 days ago |