Together hosts many open-weight models - llama-3.3-70b, qwen, mixtral, and dozens of others. Model-specific failure modes dominate: a specific variant goes offline while others stay up, a model loses a region, or a fine-tune is rate-limited independently of the base model. Outside-in validations catch those per-model failures without you having to instrument every call-site.
What we monitor on Together AI's API
- Per-model chat-completion latency for every model you actually use in production.
- Per-model availability - Together quiesces specific models without announcing it on the status page.
- Streaming stability and tokens/sec for open-weight models, which vary more than proprietary APIs.
- Regional TTFB differences between their primary and fallback PoPs.
- Rate-limit behaviour, which differs by model tier.
Why you need a third-party validate even though Together AI has a status page
- Together's status page covers platform health, not per-model health.
- Open-weight models on any hosted provider can go quiet for minutes at a time under capacity pressure.
- Fine-tuned models are independent products; a validation on the base model doesn't tell you about the fine-tune.
- Regional routing is managed by Together and can flip silently during incidents.
How it works
- One validation per (model × region) pair, at your configured cadence (as short as 5 minutes on paid plans) with a deterministic 120-token prompt.
- Assertions: status, shape, tokens/sec, latency under SLO, streaming cadence.
- Per-model latency percentiles graphed independently.
- Alerts fire on a specific (model, region) pair - so 'llama-3.3-70b is slow from Singapore' is a distinct alert.
Setup in 10 minutes
Validation the exact models you call from production. A validation on a model you don't use tells you about Together's health, not yours. We recommend one validation per (model, region) pair.
Works alongside Together AI's own tools
Together's status page and their rate-limit dashboard cover platform-level metrics. Agent Status covers the per-model per-region dimension that matters to your specific workload.
Related
- /status-monitoring/groq - Groq inference monitoring.
- /status-monitoring/mistral - Mistral API monitoring.
- /blog/what-is-outside-in-monitoring - Outside-in primer.
- /platform - The product overview.
Frequently asked questions
Why monitor Together AI if there's a status page?
Together hosts many models with different performance profiles. Agent Status validates per-model availability and latency from your regions in real time.
What does it check on Together AI?
Per-model responses, regional TTFB, and availability across the hosted open-weight catalog.
How quickly are issues surfaced?
As often as every 5 minutes on paid plans, with instant alerting.
Does it complement Together's own monitoring?
Yes - it's an independent outside-in validation alongside their status page.
Start monitoring Together AI in production
Free tier includes 30 tests/month on 1 agent from 3 regions; paid tiers unlock unlimited agents and intervals down to 5 minutes. 10-minute setup, outside-in validations across 70 countries. See pricing or go to the platform overview.
