together-debug-bundle
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
Best use case
together-debug-bundle is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
Teams using together-debug-bundle should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/together-debug-bundle/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How together-debug-bundle Compares
| Feature / Agent | together-debug-bundle | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Together AI Debug Bundle ## Overview Guidance for debug bundle with Together AI inference and fine-tuning API. ## Instructions ### Key Points - Together AI is OpenAI-compatible: `base_url = 'https://api.together.xyz/v1'` - Use the `together` Python SDK or any OpenAI client library - Supports 100+ open-source models (Llama, Mixtral, Qwen, FLUX) - Fine-tuning available for supported models - Batch inference at 50% cost reduction ## Error Handling | 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 | ## Resources - [Together AI Docs](https://docs.together.ai/) - [API Reference](https://docs.together.ai/reference/chat-completions-1) - [Model List](https://docs.together.ai/docs/inference-models) ## Next Steps See related Together AI skills for more patterns.
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