Latitude Review (2026): Pricing, Features & Honest Verdict

TLDR

Latitude is an open-source agent engineering and observability platform that turns your production LLM traces into tracked issues and automated evals. It’s the sharpest pick for teams running real AI agents. Best for: engineering teams shipping production agents. Price: From $99/mo, free plan yes (plus free self-hosted). Rating: 7.7/10.

What is Latitude?

Latitude is an observability and engineering platform built specifically for AI agents and LLMs. It captures every trace your agents generate in production, groups the failures into tracked issues the way Sentry handles software bugs, and then builds evaluations from those real examples so your team can systematically debug and improve behavior. The team describes it bluntly as “Sentry, but for agents and LLMs.”

The project is maintained by Latitude Data S.L. and is fully open source under the MIT license, with around 4,000 GitHub stars and an active codebase written mostly in TypeScript. It arrives at a moment when teams are shipping increasingly complex multi-turn agents and discovering that traditional logging tells them almost nothing about why an agent went off the rails.

What Are Latitude’s Key Features?

Issue-Centric Tracking

Instead of dumping raw logs on you, Latitude groups related failing traces into discrete issues with a status (active, resolved, regressed), a size, and a trend. This is the core idea: you triage agent problems like engineering tickets rather than scrolling through endless trace lists hoping to spot a pattern.

Human-Aligned Evaluations

Latitude automatically builds evaluations from your team’s annotations and real failure examples, then tracks drift over time. Because the evals come from production reality rather than synthetic test cases, they tend to catch the failures that actually matter to your users.

Agent-Native Traces

The tracing view is designed for agents, not single prompts. It captures multi-turn sessions, every tool call, and the full execution path in one place, so you can follow exactly what the agent decided and why across a complete conversation.

Semantic Search and MCP Integration

Semantic search runs across 100% of your traces with no sampling, combined with exact text filtering, so finding a specific behavior is fast. An MCP server also lets you manage projects, traces, and datasets directly from coding agents like Cursor or Claude.

How Much Does Latitude Cost?

Latitude’s paid cloud plan starts at $99/month for Pro, which includes 100K credits per month, 90-day data retention, and unlimited seats, with extra credits at $20 per 10K. There’s a free Starter plan (20K credits/month, 30-day retention) and a completely free self-hosted open-source version. Enterprise pricing is custom and adds on-prem deployment, SAML SSO, and SOC2/ISO27001 reports.

For comparison, Langfuse is free up to 50K events per month and jumps to enterprise plans around $2,499/month, while Helicone gives you 10K free requests monthly. Latitude’s $99 Pro tier sits in the middle, and the free self-hosted route undercuts everyone if you’re willing to run your own infrastructure.

Who Is Latitude Best For?

Use Latitude if you’re shipping real AI agents to production: multi-turn conversations, tool use, and complex execution paths where you need to understand failures and close the loop into automated evals. The open-source self-hosted option also makes it ideal for teams with data-ownership or compliance constraints.

Skip Latitude if all you’re doing is logging simple single-prompt LLM calls. In that case lighter, cheaper gateways like Helicone or the generous Langfuse free tier will cover your needs with less setup overhead, and you won’t benefit much from the agent-specific tooling.

What Are the Best Latitude Alternatives?

Langfuse

The most popular open-source LLM observability platform with 40,000+ builders and SDK-based integration that adds zero latency. Its free cloud tier covers up to 50K events per month. Langfuse is broader and more mature but less focused on the issue-to-eval agent workflow that Latitude specializes in.

Helicone

An AI gateway that’s the fastest to set up: change your base URL and you’re logging immediately, with 10K free requests per month. Helicone is excellent for quick observability but falls short on evals, issue tracking, and deep agent support.

LangSmith

Built by the LangChain team, LangSmith is the natural choice if your stack already runs on LangChain. It offers strong tracing and evaluation tooling, though it’s closed source and ties you more tightly to the LangChain ecosystem.

Final Verdict: Is Latitude Worth It?

Latitude is one of the most thoughtful tools in the agent observability space. The issue-centric model and auto-generated evals from production failures genuinely move work forward instead of just showing you data, and the MIT-licensed self-hosted version means any team can adopt it at zero cost. The credit-based Pro pricing can climb for high-traffic agents, and the community is younger than Langfuse’s, so expect fewer ready-made integrations.

If you’re running production AI agents and want to systematically catch and fix failures, Latitude is well worth a serious trial, starting with the free Starter or self-hosted version. If your needs are limited to basic prompt logging, a lighter tool will serve you better and cheaper.