together-common-errors

# Together AI Common Errors ## Overview Together AI provides OpenAI-compatible inference, fine-tuning, and batch processing across 100+ open-source models (Llama, Mixtral, Qwen, FLUX). Common errors include model-not-available failures when requesting deprecated or gated models, token limit violations that differ per model architecture, and fine-tune job failures from dataset formatting issues. The API is compatible with any OpenAI client library at `base_url = 'https://api.together.xyz/v1'`. Model IDs use the full namespace format (e.g., `meta-llama/Meta-Llama-3.1-8B-Instruct`) and must match exactly. This reference covers inference, fine-tuning, and deployment errors. ## Error Reference | Code | Message | Cause | Fix | |------|---------|-------|-----| | `401` | `Unauthorized` | Invalid or missing `TOGETHER_API_KEY` | Verify key at api.together.xyz > Settings | | `400` | `Model not found` | Wrong model ID or model deprecated | Use `client.models.list()` to get valid model IDs | | `400` | `Token limit exceeded` | Input + max_tokens exceeds model context | Reduce input length or lower `max_tokens` parameter | | `400` | `Invalid fine-tune dataset` | JSONL format errors or missing required fields | Each line must be valid JSON with `messages` array | | `402` | `Insufficient credits` | Account balance depleted | Add credits at api.together.xyz > Billing | | `404` | `Fine-tune job not found` | Invalid job ID or job expired | List active jobs with `client.fine_tuning.list()` | ...