Stats
Actions
Tags
'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From together-pack
Explains common Together AI API errors for inference, fine-tuning, and model deployment. Includes error codes and solutions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/together-pack:together-common-errorsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Guidance for common errors with Together AI inference and fine-tuning API.
Guidance for common errors with Together AI inference and fine-tuning API.
base_url = 'https://api.together.xyz/v1'together Python SDK or any OpenAI client library| Error | Cause | Solution |
|---|---|---|
401 Unauthorized | Invalid API key | Check at api.together.xyz |
Model not found | Wrong model ID | Use client.models.list() |
429 Rate limit | Too many requests | Implement backoff |
500 Server error | Model overloaded | Retry with backoff |
See related Together AI skills for more patterns.
2plugins reuse this skill
First indexed Jul 17, 2026
npx claudepluginhub ia23a-lachnita/claude-code-plugins-plus-fix-skills --plugin together-packTogether AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.