Latitude alternatives

Why Teams Look Past Latitude

Latitude has changed shape several times, and most reasons to look elsewhere come from where a team joined that history. It has been a data-apps tool (2022-23), a prompt playground (December 2024), Latitude Agents (March 2025), "Latitude 2.0 - the agent that builds agents" (September 2025), and since June 2026, V2: agent observability only. Each step made sense for the company. Each also left some users with a product that had moved.

• The V1 gateway is gone. latitude.prompts.run() and latitude.prompts.chat() do not exist in V2, and Latitude's migration guide says "Nothing on the Latitude side replaces them." Prompt management, PromptL, hosted tools, triggers and server-side conversation storage went too. V1 keeps running for existing customers, but new features ship only to V2.
• Managed cloud is in the EU only. Customer data is stored and processed in AWS eu-central-1, Frankfurt. That is a plus for EU residency and a problem for teams that must keep data elsewhere and do not want to self-host.
• Nothing is blocked. Evaluations score sessions after they complete, on each evaluation's scope and sampling, and never change a response.
• The meter is opaque from outside. Plans are priced in credits, and the pricing page does not say what a credit measures.

The Shortlist

Failproof AI - If You Need to Find and Fix Production Failures

Failproof AI covers the observability work around a production agent, not only its traces. You can query sessions and tool calls, run code-based and LLM-based evaluations, bring an existing evaluation suite, and alert owners when behavior drifts. Automatic failure analysis groups related sessions into findings, shows the supporting evidence and recommends a fix. After a change, teams can re-evaluate the affected sessions and keep monitoring the same behavior in production.

• Limits: Cloud self-hosting is an Enterprise deployment, and enforcement requires a supported agent harness or gateway integration.
• Best for: teams that need to move from traces to failure analysis, ownership, remediation and verification without stitching together separate observability and policy tools.

Langfuse - If You Want Open Source and Prompt Management Back

Langfuse is an open-source LLM engineering platform with an MIT core and separately licensed enterprise features. It covers tracing, versioned prompt management, datasets and evaluations through LLM-based checks, code, user feedback or manual labels. Self-host for free with Docker Compose or Kubernetes, or use the cloud from a free Hobby tier. Limits: it does not provide automatic recurring-failure discovery or runtime blocking. Best for: V1 users who miss managed prompts and teams that want an established open-source platform.

Raindrop - If Your Agent Is a Product with Real Traffic

Raindrop classifies production events with plain-language Signals, ranks Issues, hands root-cause context to a coding agent over MCP, and runs Experiments comparing cohorts of logged events. Limits: Pro is $299 a month plus $0.003 per event, alerts go to Slack only, runtime blocking is unavailable, and self-hosting is a partner rollout. Best for: consumer-facing agents where measuring a fix across substantial production traffic matters most.

Judgment Labs - If Judging Is the Whole Job

Judgment Labs pairs the Apache-2.0 judgeval SDK with a hosted platform for rubric-driven Agent Judge, Code Judge and Behavior Discovery. Limits: no published pricing, demo-first onboarding, platform self-hosting listed as coming soon and no runtime blocking. Best for: teams that want specialist agent judges and buy through sales.

Galileo - If You Want Built-in Metrics and an Enterprise Vendor

Galileo ships more than 20 ready-made evaluations, Luna-2 evaluation models and CLHF. Cisco acquired the company in May 2026, and its release notes now call the product Splunk Agent Observability. Free, with 5,000 traces, is self-serve; Pro at $100 a month and Enterprise both start with a demo. Limits: hosted guardrails, Luna-2, VPC and on-prem are Enterprise-only. Best for: larger organizations that want metrics without writing them.

Future AGI - If You Want a Platform and a Gateway in One

Future AGI has an Apache-2.0 core with built-in evaluators and its own evaluator models, simulation, prompt optimization and Agent Command Center, an OpenAI-compatible gateway whose Protect scanners can block model I/O and gateway tool calls. Limits: the self-hosted stack contains many services, and code under its ee/ directories needs an Enterprise licence key or Cloud plan in production. Best for: V1 gateway users who want the gateway and evaluations from one vendor.

LiteLLM - If the Gateway Is the Only Thing You Lost

LiteLLM is a self-hostable AI gateway that exposes more than 100 providers through the OpenAI format, with virtual keys, spend tracking, load balancing and guardrails. Limits: it is a gateway rather than an observability or evaluation platform. Best for: teams that want one control point for model calls and are happy to keep Latitude V2 for observability.

At a Glance

When to Stay on Latitude

If you joined at V2, or you have already migrated, there may be nothing to fix. Latitude is one of very few platforms where the whole thing is MIT, the self-host uses the same images as the cloud, and seats are unlimited on every plan. Human annotation with an alignment check, Flaggers, and Agent Dispatch opening fix PRs are real advantages, and EU-only hosting is exactly what some buyers need.

Several gaps can be filled without leaving. A V1 user who misses the gateway can put LiteLLM or Agent Command Center in front of the model and keep Latitude for tracing. Failproof AI can add production evaluations, automatic recurring-failure analysis, alerts and trace-backed findings, with tested hook-level policies for supported high-risk actions. See Failproof AI vs Latitude. The V1 path is covered in what to do now the gateway is gone.