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Latitude LLM
Summary
You shipped a fix, closed the issue, and two days later users are still complaining about the same failure — because you had no way to know whether the fix actually held across real traffic.
Latitude is an open-source AI agent monitoring platform that captures full conversation traces, clusters similar failures into triage-ready issue groups, and turns confirmed failure modes into automated evaluations that run against every new trace. The vendor states it ingests via OpenTelemetry, so teams already using OTEL pipelines point their existing setup at Latitude without reformatting data. Semantic search runs across 100% of traces — no sampling — which means finding 'frustrated users on a specific model version after a specific release' takes filters, not queries. The ceiling appears when your team needs the monitoring layer to also drive prompts or chain agents: that is not what this tool does.
Bottom line: Reach for Latitude when you need to know why your agent is failing in production and want to build regression datasets from those failures — not when you need the observability layer to also orchestrate or run the agents.
Pricing Plans
SubscriptionLast verified 1 week ago- Price
- $99/month
- Free Tier
- 20K credits/month, 30d data retention, Unlimited seats, General channel, Slack support
Starter
Designed for teams setting up the foundations of their AI infrastructure
- 20K credits/month
- 30d data retention
- Unlimited seats
- General channel
- Slack support
Pro
Designed for teams building AI products collaboratively at scale
- 100K credits/month
- 90d data retention
- Unlimited seats
- Priority support
- Extra credits: $20 per 10K
- SOC2 & ISO27001 reports
Enterprise
Cloud for high volume products or deploy in your infrastructure
- Custom credit volume
- Custom data retention
- Custom cloud deployment
- Fine-grained roles (RBAC)
- Team trainings
- SAML SSO
- SOC2 & ISO27001 reports
- Uptime and support SLA
- Dedicated support
View full pricing on latitude.so →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- OpenTelemetry-compatible ingestion, so teams with an existing OTEL pipeline connect without reformatting data or adopting a proprietary agent SDK.
- 100% trace coverage with no sampling, which means the cohort of users hitting an edge case after a specific release does not fall through statistical gaps the way it does on platforms that sample.
- Failure mode clustering groups similar bad traces into a single triage item with trend and affected-user data, so your team reviews patterns rather than scrolling individual logs.
- Automated evaluation generation from real failure examples, which keeps your evals grounded in actual production behavior rather than hypotheticals written before you knew what would break.
- Self-hosted deployment under MIT license, which means teams with strict data residency requirements are not forced onto a vendor-managed cloud to get full functionality.
Cons
Sign in to edit- Latitude is observability only — it does not build, run, or chain agents. Teams that start here expecting a single platform for both monitoring and agent construction will add a separate orchestration tool, maintaining two systems from the start.
- The automated evaluation and clustering features depend on having enough production traffic to produce meaningful patterns; teams in pre-launch or low-volume environments will see sparse issue groups and little for the clustering layer to work with.
- Alert routing covers Slack, email, and webhooks — teams whose incident workflows run through PagerDuty or more specialized on-call platforms will need to bridge that gap themselves via webhook, adding configuration overhead.
- When a team's primary need shifts from 'understand what my agent is doing wrong' to 'build and iterate on the agent itself,' Latitude offers precious little on the builder side, and those teams migrate to platforms that combine a prompt editor, evaluation harness, and deployment pipeline in one surface.
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About
- Platforms
- Web, self-hosted
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-24T06:29:01.079Z
Best For
Who it's for
- Teams building and shipping multi-turn AI agents
- Production observability without proprietary lock-in
- Developers needing semantic search over full trace history
- Organizations requiring SOC 2 and GDPR compliance
What it does well
- Monitoring production AI agent conversations for failures
- Searching and clustering traces to investigate issues
- Generating and running automated evaluations from real data
- Receiving alerts on escalations or tool failures
- Managing versioned datasets for regression testing
Integrations
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Frequently Asked Questions
- Is Latitude LLM free?
- Latitude LLM has a permanent free tier alongside paid upgrades (paid plans from $99/month). You can keep using a baseline version indefinitely without paying.
- Is Latitude LLM open source?
- Yes. Latitude LLM is open source.
- Does Latitude LLM have an API?
- Yes. Latitude LLM exposes a developer API. See the official documentation at https://latitude.so for details.
- Can I self-host Latitude LLM?
- Yes. Latitude LLM supports self-hosting on your own infrastructure.
- What platforms does Latitude LLM support?
- Latitude LLM is available on: Web, self-hosted.
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Curated lists that include this category
Most agent observability tools give you logs. Latitude gives you a structured account of what a conversation was actually about — escalations, tool failures, retries, trust breaks, and the moments a user gave up. The core workflow is: instrument with the Latitude SDK or point an existing OpenTelemetry pipeline at the platform, let it capture full multi-turn traces including messages, costs, and tool calls, then use the conversation intelligence layer to surface patterns across those sessions automatically.
The differentiating feature is failure mode clustering. Instead of asking you to triage individual bad traces, Latitude groups similar failures into a single issue with trend data, affected user counts, and a lifecycle — so you are reviewing a pattern, not a log file. From any clustered issue, you can generate an automated evaluation grounded in real examples, attach it to a golden dataset built from validated production traces, and get alerted via Slack, email, or webhook the next time that pattern resurfaces after a deploy.
Latitude fits teams shipping multi-turn agents who need production visibility without committing to a proprietary data format. The MIT license and self-hosted option mean your traces stay in your infrastructure if compliance requires it — the vendor confirms SOC 2 and GDPR support for the hosted version. Where it breaks: Latitude is an observability and evaluation platform, not a builder or orchestrator. Teams that want one tool to both monitor agents and construct or run them will need a second system alongside it.
On the integration side, the vendor describes an MCP server that gives agents direct access to the Latitude workspace, and a GitHub-hosted skill for coding agents to add tracing automatically. Human annotation is available inline on any trace or span, turning reviewer feedback into structured signal that feeds back into search and evaluation pipelines.