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---
name: together-performance-tuning
description: 'Together AI performance tuning for inference, fine-tuning, and model
deployment.
Use when working with Together AI''s OpenAI-compatible API.
Trigger: "together performance tuning".
'
allowed-tools: Read, Write, Edit, Bash(pip:*), Grep
version: 1.0.0
license: MIT
tags:
- saas
- ai
- inference
- together
compatibility: Designed for Claude Code
---
# Together AI Performance Tuning
## Overview
Guidance for performance tuning 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.
