Weave suits teams building or operating production AI agents that need tracing, evaluations, interaction monitoring, or prompt comparisons.
Best Llm Monitoring 2026
Facts read 24 Sep 2026 – 21 Oct 2026
LLM monitoring tools help you trace model calls, run evaluations, retain traces and set alerts. This guide helps you compare those controls, deployment choices and provider support.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 W&B Weave | Weave suits teams building or operating production AI agents that need tracing, evaluations, interaction monitoring, or prompt comparisons. | 6.2 | $60 a month | Free plan | iPhone & iPad, Web, Windows, Mac | 20 Oct 2026 |
| 02 Opik | Opik suits teams developing applications or agents that call an LLM and need to inspect, evaluate, and monitor their behavior. | 6.1 | $19 a month | Free plan | Web, Windows, Mac, Linux | 21 Oct 2026 |
| 03 Future AGI AI Evaluation SDK | The platform is presented for startup and enterprise teams building and operating AI agents. | 6.0 | $250 a month | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 04 Langfuse | Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. | 5.7 | $29 a month | Free plan | Web, Linux, API, Self-hosted | 15 Oct 2026 |
| 05 LangWatch | LangWatch suits AI teams working on agents, including developers, product owners, QA, and domain experts involved in evaluation workflows. | 5.7 | €29 a month | Free plan | Web, Mac, Linux, API | 21 Oct 2026 |
| 06 Agenta | Agenta suits teams that want to create and operate AI agents across work tools, with cloud or self-hosted deployment options. | 5.5 | $29 a month | Free plan | Web, API, Self-hosted | 14 Oct 2026 |
| 07 OpenLIT | OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs. | 5.5 | Free plan | Free plan | Web, Windows, Mac, Linux | 14 Oct 2026 |
| 08 LangSmith | LangSmith suits teams developing AI agents that need evaluation, prompt tools, tracing, and production monitoring. | 5.3 | $39 usage-based | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 09 Observe | 5.1 | — | Free trial | Web, Windows, Mac, Linux | 3 Oct 2026 | |
| 10 AgentOps | 5.0 | $40 a month | Free plan | Web, API, Self-hosted | 15 Oct 2026 |
The list is ordered by newest releases first. It shows figures published by makers and does not score tools. Compare the Free plan, Paid from, LLM tracing, Evaluation support, Deployment options, Trace retention, Alerts and LLM providers fields.
Opik
Opik suits teams developing applications or agents that call an LLM and need to inspect, evaluate, and monitor their behavior.
WebWindowsMac+3Future AGI AI Evaluation SDK
The platform is presented for startup and enterprise teams building and operating AI agents.
WebWindowsMac+3Langfuse
Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools.
WebLinuxAPI+1LangWatch
LangWatch suits AI teams working on agents, including developers, product owners, QA, and domain experts involved in evaluation workflows.
WebMacLinux+2Agenta suits teams that want to create and operate AI agents across work tools, with cloud or self-hosted deployment options.
OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs.
LangSmith suits teams developing AI agents that need evaluation, prompt tools, tracing, and production monitoring.
Braintrust is intended for teams running AI agents in production, from early-stage projects to enterprise deployments.
It suits teams building or operating AI applications that need provider routing, request tracing, or cost visibility.
Laminar suits teams building AI agents that need to trace model and tool activity, investigate runs, or evaluate changes against datasets.
Portkey suits teams building or operating applications that use multiple AI models and need routing, activity monitoring, and prompt management.
Arize AX suits teams working to observe, evaluate, and improve AI agents in production.
Galileo is designed for engineers, product managers, and subject matter experts building AI applications.
It suits AI platform teams, AI engineers, domain experts, and risk and governance teams that need production agent visibility.
Phoenix suits teams that need to inspect AI application traces and compare evaluation results across versions.
Before you choose
Compare free access and paid entry
Check the Free plan field before looking at Paid from. A free plan can provide a starting path without a paid commitment.
A free trial is a separate offer. Check its terms and duration, and note when pricing is listed as on request.
Match tracing with evaluation work
Use LLM tracing to follow model calls and retain the records you need. Check Evaluation support if you want to assess outputs or compare runs.
Review both fields together so the monitoring workflow fits the way you inspect model behavior.
Choose where the tool runs
Deployment options include web, API, self-hosted, Linux, macOS and Windows. Match those options to the systems that need monitoring.
An API or self-hosted option may suit a code-first setup, while a web option may fit browser-based work.
Check retention and alerts
Trace retention describes how long recorded traces remain available. Compare that field with the period you need for review.
Alerts can surface changes or failures without opening traces by hand. Check what alert support is listed for the tool.
Review providers and code access
Compare the LLM providers field with the models you plan to connect. Provider coverage can shape how much of your stack one tool can monitor.
If you need to read or change the code, check whether the tool offers open-source code and review its licence.