together-common-errors
Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
Best use case
together-common-errors is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
Teams using together-common-errors 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-common-errors/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How together-common-errors Compares
| Feature / Agent | together-common-errors | 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 common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
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.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# 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()` |
| `429` | `Rate limit exceeded` | Too many concurrent requests | Implement backoff; use batch API for 50% cost reduction |
| `500` | `Model overloaded` | High demand on specific model | Retry with backoff; try alternative model of same family |
## Error Handler
```typescript
interface TogetherError {
code: number;
message: string;
category: "auth" | "rate_limit" | "validation" | "billing";
}
function classifyTogetherError(status: number, body: string): TogetherError {
if (status === 401) {
return { code: 401, message: body, category: "auth" };
}
if (status === 402) {
return { code: 402, message: body, category: "billing" };
}
if (status === 429) {
return { code: 429, message: "Rate limit exceeded", category: "rate_limit" };
}
return { code: status, message: body, category: "validation" };
}
```
## Debugging Guide
### Authentication Errors
Together uses Bearer token authentication. Pass `TOGETHER_API_KEY` via `Authorization: Bearer` header or set it in the client constructor. Keys do not expire but can be revoked. If using the OpenAI client library, set `base_url='https://api.together.xyz/v1'` and pass the Together key as `api_key`.
### Rate Limit Errors
Rate limits vary by plan tier and are enforced per-key. Free tier allows 5 requests/second; paid tiers scale higher. Use the batch inference API (`/v1/batch`) for non-real-time workloads at 50% cost reduction. Check `X-RateLimit-Remaining` header to monitor quota.
### Validation Errors
Model IDs must match exactly (e.g., `meta-llama/Meta-Llama-3.1-8B-Instruct`). Use `client.models.list()` to enumerate available models. Token limits vary per model -- Llama 3.1 supports 128K context while older models may support only 4K. Fine-tune datasets must be JSONL with each line containing a `messages` array in chat format. Empty `messages` arrays or missing `role` fields cause silent validation failures. Validate each JSONL line independently before uploading.
## Error Handling
| Scenario | Pattern | Recovery |
|----------|---------|----------|
| Model deprecated | 400 with "not found" | Check model list; migrate to successor model |
| Token limit exceeded | 400 on long prompts | Truncate input or use model with larger context window |
| Fine-tune dataset rejected | JSONL validation errors | Validate each line independently; fix and re-upload |
| Credits depleted mid-batch | 402 after N successful calls | Add credits, resume from last successful request |
| Model overloaded at peak | 500 on popular models | Fall back to alternative model in same family |
## Quick Diagnostic
```bash
# Verify API connectivity and list available models
curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
https://api.together.xyz/v1/models
```
## Resources
- [Together AI Documentation](https://docs.together.ai/)
- [API Reference](https://docs.together.ai/reference/chat-completions-1)
- [Supported Models](https://docs.together.ai/docs/inference-models)
## Next Steps
See `together-debug-bundle`.Related Skills
workhuman-common-errors
Workhuman common errors for employee recognition and rewards API. Use when integrating Workhuman Social Recognition, or building recognition workflows with HRIS systems. Trigger: "workhuman common errors".
wispr-common-errors
Wispr Flow common errors for voice-to-text API integration. Use when integrating Wispr Flow dictation, WebSocket streaming, or building voice-powered applications. Trigger: "wispr common errors".
windsurf-common-errors
Diagnose and fix common Windsurf IDE and Cascade errors. Use when Cascade stops working, Supercomplete fails, indexing hangs, or encountering Windsurf-specific issues. Trigger with phrases like "windsurf error", "fix windsurf", "windsurf not working", "cascade broken", "windsurf slow".
webflow-common-errors
Diagnose and fix Webflow Data API v2 errors — 400, 401, 403, 404, 409, 429, 500. Use when encountering Webflow API errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "webflow error", "fix webflow", "webflow not working", "debug webflow", "webflow 429", "webflow 401".
vercel-common-errors
Diagnose and fix common Vercel deployment and function errors. Use when encountering Vercel errors, debugging failed deployments, or troubleshooting serverless function issues. Trigger with phrases like "vercel error", "fix vercel", "vercel not working", "debug vercel", "vercel 500", "vercel build failed".
veeva-common-errors
Veeva Vault common errors for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva common errors".
vastai-common-errors
Diagnose and fix Vast.ai common errors and exceptions. Use when encountering Vast.ai errors, debugging failed instances, or troubleshooting GPU rental issues. Trigger with phrases like "vastai error", "fix vastai", "vastai not working", "debug vastai", "vastai instance failed".
twinmind-common-errors
Diagnose and fix TwinMind common errors and exceptions. Use when encountering transcription errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "twinmind error", "fix twinmind", "twinmind not working", "debug twinmind", "transcription failed".
together-webhooks-events
Together AI webhooks events for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together webhooks events".
together-upgrade-migration
Together AI upgrade migration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together upgrade migration".
together-security-basics
Together AI security basics for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together security basics".
together-sdk-patterns
Together AI sdk patterns for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together sdk patterns".