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List of the Best LLM & Agent Observability and Evaluation Software in 2026

Rajat Gupta
Researched and Edited by Rajat Gupta
Rajat Gupta

Researched and Edited by Rajat Gupta

Last updated: September 17, 2026 · How we review

LLM & Agent Observability and Evaluation Software overview

Spotsaas tracks 1 products in LLM & Agent Observability and Evaluation Software, ranked by SpotScore — a blend of feature coverage, verified review ratings, and value. 1 let you start on a free trial, and 11 keep a free plan you can stay on. Most buyers here are Engineers debugging why a RAG pipeline returns poor answers.

1
products listed
1
offer a free trial
11
have a free plan
7
priced per subscription
16
quote on request

Editor's Summary · LLM & Agent Observability and Evaluation Software

These tools answer two different questions and most teams need both. Tracing tells you what your application did — which prompts ran, what the retriever returned, where latency and cost went. Evaluation tells you whether the output was any good. LangSmith, Langfuse, Helicone and Traceloop lead on the first; Confident AI, Patronus, TruLens and Arize Phoenix lead on the second.

Self-hosting is the fastest way to shorten the list. Prompts and completions routinely contain customer data, and many teams cannot send them to a hosted service. Langfuse, Phoenix, Opik, Lunary, Athina and LangWatch all run in your own environment.

If you already run an observability stack, Traceloop's OpenLLMetry sends traces into Datadog, Grafana or Honeycomb rather than asking you to adopt another dashboard.

Portkey is the odd one out and worth knowing about: it sits in the request path as a gateway, so it adds routing, fallback and caching alongside observability, and captures traces without any application instrumentation.

For agents specifically, single-response evaluation misses the failure mode that matters — an agent can answer every individual turn well and still fail the conversation. Maxim and LangWatch test at the scenario level.

Quick picks for LLM & Agent Observability and Evaluation Software

  • Best open-source all-rounder — Langfuse
  • Best for RAG evaluation — Arize Phoenix
  • Best gateway plus observability — Portkey

Who gets the most from LLM & Agent Observability and Evaluation Software

  • 1Engineers debugging why a RAG pipeline returns poor answers
  • 2Teams gating deployments on evaluation results in CI
  • 3Platform owners tracking model cost and latency across providers
How to choose LLM & Agent Observability and Evaluation Software

Separate tracing from evaluation before you compare, because most platforms lead on one and follow on the other. If your prompts carry customer data, filter for self-hosting first and accept the shorter list. If you already run Datadog or Grafana, an OpenTelemetry-native platform keeps everything in one pane of glass. And if you are building agents rather than single-turn features, insist on scenario-level testing, because per-response scoring can look healthy while the whole conversation fails.

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