Latitude 
Latitude is an open-source platform for building, testing, evaluating, and observing LLM prompts and AI applications. Developers should use representative evals, protect production data and secrets, monitor versions and cost, and gate consequential outputs.
Starting price Free + paid cloud usage
Tool Information
Latitude is an open-source platform for building, testing, evaluating, and observing LLM prompts and AI applications. Developers should use representative evals, protect production data and secrets, monitor versions and cost, and gate consequential outputs.
Users begin with a limited test, provide only authorized and necessary inputs, configure privacy and output settings, compare results with the original source or a trusted benchmark, correct errors, and keep a responsible person in control before publishing, sharing, contacting people, or automating consequential work.
The open-source product can be used free, while hosted cloud usage and organizational capabilities may incur usage-based or custom charges. No stable public subscription floor was verified.
AI output can be inaccurate, biased, incomplete, stale, or misleading and the service may process confidential or personal data. Protect credentials, review retention and model-training terms, respect copyright, consent, anti-spam and platform rules, monitor costs and permissions, and add specialist review for regulated or high-impact uses.
F.A.Q (3)
Pros and Cons
Pros
- Latitude provides production observability built around multi-turn AI-agent sessions
- OpenTelemetry compatibility lets existing telemetry pipelines send standard traces
- TypeScript and Python SDKs simplify dedicated instrumentation
- Traces capture messages; model calls; tools; errors; tokens; latency; and cost
- Conversation intelligence identifies escalations; retries; abandonments; and trust breaks
- Recurring failed traces are clustered into prioritized issues
- Issue trends help teams distinguish patterns from isolated bad outputs
- Slack; email; and webhook alerts notify teams when issues appear or escalate
- Custom signals encode product-specific failure modes and policy checks
- Human annotations turn expert judgment into searchable structured feedback
- Validated production failures can become versioned golden datasets
- Advanced semantic; text; and metadata filters find narrow behavioral cohorts
- Claude Code or Cursor can receive trace context and propose a pull request
- The project is available under the MIT open-source license
- The free hosted plan includes unlimited seats and twenty thousand monthly credits
- European hosting; encryption; SOC 2 controls; audit logs; and enterprise SSO support governance needs
Cons
- Complete traces can capture sensitive prompts; user data; tool arguments; and model outputs
- Teams must implement redaction; access control; consent; retention; and deletion policies
- Automatic issue clustering can merge distinct causes or split one failure across several groups
- A detected correlation does not prove the root cause of an agent's behavior
- Coding-agent dispatch can introduce a flawed fix unless a developer reviews tests and changes
- Generated pull requests must never bypass normal security; quality; and approval gates
- Golden datasets built from production reflect observed traffic and can miss rare future failures
- Human annotation requires domain experts and consistent scoring guidance
- The free plan retains data for thirty days and has a finite credit allowance
- Pro costs ninety-nine dollars monthly and charges extra for additional credits
- Enterprise roles; SAML; service agreements; and custom deployment require a negotiated plan
- Hosted observability adds another production dependency and incident surface
- OpenTelemetry attributes must be mapped correctly or important model details will be absent
- Vendor-reported usage and impact figures are not independent performance evidence
- Self-hosting transfers upgrades; backups; security; and scaling work to the user's team
- Observability and automated fixes reduce debugging effort but cannot guarantee an agent is safe or correct
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Overview
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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