LLM observability
Records each prompt, response, tool call and cost in your AI app so you can trace, debug and improve it.
Search AirStackWhy teams use it
- See why an AI answer went wrong
- Track cost and latency per feature or customer
- Catch quality drops after a model or prompt change
- Turn real conversations into test cases
Who uses it: AI engineer, ML engineer, Product manager, Site reliability engineer, Data scientist. Watch for: Traces can hold customer data and grow fast; check retention, redaction and per-trace pricing before you log everything. AirStack’s guide to the category.
12 products
| Product | What it says it does | Starting at |
|---|---|---|
| Langfuse | Trace, evaluate, and improve AI agents with one open platform. | Not observed |
| Pydantic Logfire | Full-stack observability and evaluation for AI apps | Not observed |
| OpenLIT | OpenTelemetry-native agent observability, evals, guardrails, prompt management, and cost and GPU monitoring | Not observed |
| Laminar | Laminar is an open-source agent observability platform. | Not observed |
| Helicone | to route, debug, and analyze their applications. | Not observed |
| Opik | Debug, evaluate, and monitor your LLM applications, RAG systems, | Not observed |
| AgentOps | The leading developer platform for building AI agents and LLM apps. | Not observed |
| Braintrust | The active observability platform for agents | Not observed |
| Arize Phoenix | AI Observability and Evaluation | Not observed |
| LangSmith | LangSmith helps you and your team develop and evaluate language models and intelligent agents. | Not observed |
| Traceloop OpenLLMetry | Open-source Observability for LLMs with OpenTelemetry | Not observed |
| W&B Weave | W&B Weave is an observability and evaluation platform that helps you track, evaluate, and improve your agents and LLM applications. | Not observed |
Prices are list prices as written on each pricing page; hover one for its quote. “Not observed” means AirStack has not found it on that product’s pages.