AI & Agentic Software · AI building blocks
LLM Observability & Evaluation
Tools that record, test and score what an AI application does, tracking quality, cost, speed and failures so teams can improve it safely.
Also searched as: AI evals · LLM monitoring · LLMOps
What it does
- Traces of every model call
- Automated quality evaluations
- Cost and latency dashboards
- Regression tests before changes
- User feedback capture
Who uses it
Teams running AI features in production.
Well-known examples
LangSmith · Langfuse · Arize Phoenix · Braintrust · Weights & Biases Weave
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Questions about LLM observability & evaluations
What is an LLM observability & evaluation?
Tools that record, test and score what an AI application does, tracking quality, cost, speed and failures so teams can improve it safely.
How is AI changing LLM observability & evaluations?
As AI moved from demos to daily operations, testing and monitoring became the difference between a feature customers trust and one that quietly goes wrong.
Need an LLM observability & evaluation set up, connected or built?
Tell us what you use today and what you need it to do. We will tell you honestly whether to buy, build or connect, with a fixed quote.
- Big projects and small ones are all welcome
- Fixed-price quotes, no surprise invoices
- You own your code, data and accounts
- A client portal to track progress, invoices and payments
- Rooted in Wisconsin, serving businesses nationwide