Latitude vs Langfuse

Both open-source, both trace LLM calls. Here is where they differ.

Feature

Observability

Tracing & spans

Full tracing + decorators

Full tracing + OTEL-native

Multi-turn agent sessions

Sessions + agent graphs

Full conversation context + tool calls

OTEL compatibility

OTEL-native SDKs

TS + Python + any OTEL exporter

Cost & latency dashboards

Built-in analytics

Token cost + throughput metrics

Issue Management

Issue discovery

Semi-automated semantic grouping

Auto-detected + user-driven via semantic search

Issue lifecycle tracking

No formal issue entity

New → Escalating → Resolved → Regressed

Regression detection

CI/CD score alerting

Auto-surfaces regressions after deploy

Evaluations

LLM-as-a-judge scoring

Built-in evaluators

Custom + auto-generated

Eval generation from failures

Manual failure → dataset pipeline

Auto-generated from discovered issues

Human annotation alignment

Annotations available

MCC metric tracks eval-human agreement

Platform

Self-hosted option

Docker + Kubernetes

MIT, full control

Open-source

MIT license

MIT, 4K+ stars

Free plan

Generous free tier

20K credits/mo, unlimited seats

Already using Datadog or Sentry? Latitude runs alongside them. OTEL-compatible, same protocol you already use. Latitude handles the AI-specific layer: failure patterns, issue lifecycle, agent session tracing. Your APM handles infrastructure.

Both open-source. Latitude adds the intelligence layer that turns raw traces into actionable improvement.

What Latitude adds

From traces to issues

Langfuse gives you raw traces. Latitude detects some failure patterns automatically and lets you discover more via semantic search. Named issues with lifecycle tracking: New, Escalating, Resolved, Regressed. A prioritized queue, not a log dump.

Evals that write themselves

Every time an issue is created, Latitude automatically generates a monitoring eval script for that failure pattern. Runs continuously on live traffic. Calibrated to human judgment via MCC.

Agent-native, not retrofitted

Latitude was built for multi-turn agent workflows from day one. Tool calls, decision chains, non-deterministic paths. Not bolted on after the fact.

See it in action

The agent reliability platform

Traces, issue discovery, evals auto-generated on every new issue, and human alignment — in one continuous loop.

How it works

From failures to evaluations. Automatically.

Latitude's closed-loop system turns production failures into monitoring scripts, calibrated to your definition of quality.

Observe

Capture every agent interaction. Spans, traces, sessions. OTEL-compatible SDK.

Traces dashboard showing real-time spans, latency, and cost metrics

Discover

Some failures auto-detected. Find more via semantic search over traces — annotate failed ones to create named issues. Prioritized by frequency and impact.