Latitude vs PromptEval

Latitude is an open-source, MIT-licensed platform for monitoring and improving production AI agents. It records agent interactions as spans and groups related traces into sessions for reviewing multi-turn conversations. Observe tools expose model providers, models, tokens, latency, cost, errors, tool calls, user activity, and agent memory. Semantic search, behavior clustering, and signals help locate recurring failures; monitors can watch signals, saved searches, or raw traffic and notify users in-app, by email, or through Slack. Failing traces can become datasets for local simulation and regression testing, while evaluations monitor live traffic for regressions. Latitude offers managed cloud and self-hosted deployment, including Docker Compose and Kubernetes options. Its setup guide names TypeScript and Python SDKs and recommends an OpenTelemetry exporter for other languages. The free Starter plan includes 20K credits per month and 30-day data retention. Pro costs $99.00 per month and includes 100K credits monthly and 90-day retention. Latitude says hosted customer data and managed inference are processed in AWS eu-central-1 in Frankfurt, Germany.

PromptEval is a web and API SaaS platform for evaluating and optimizing large-language-model prompts. It assigns a reproducible score from 0 to 100, with diagnostics covering clarity, specificity, structure and robustness, then identifies issues, warnings, strengths and targeted fixes. A token optimizer compresses prompts while preserving intent and reports the reduction percentage. Its versioned library keeps prompt history, score changes and diffs. The A/B Playground compares two prompts across as many as seven criteria using a user-provided API key. An official GitHub Action can fail pull requests after score drops, contradictions or production regressions. Pro and Team users can serve prompts by slug through an API endpoint, with changes taking effect in about 60 seconds. Plans include a free tier, Basic at $9 a month, Pro at $19 a month, and custom-priced Team.