Openlayer

What is Openlayer?

Openlayer is a platform for testing and monitoring AI systems before and after they ship. Engineers can hook it up with SDKs, framework integrations, a gateway, a CLI or a REST API, and then run evaluations whenever models, prompts, data or agent behavior change, checking results against thresholds they define. Tests can run in CI and block a risky deployment, and production tracing records prompts, retrieval, model calls and tool calls, along with token usage, latency and cost over the whole session. Alerts flag drops in quality, and failed production sessions can become regression tests. For larger organizations it adds an AI inventory and registry, risk assessment, guardrails against prompt injection and data leakage, and compliance evidence. The Basic plan is free for one member with 5 projects and 20,000 inferences a month, and the Enterprise plan is custom-quoted with on-premise deployment, SAML SSO and a 99.99% SLA.

Use cases

• Test prompts and models before release
• Block regressions in CI/CD
• Trace failures in production AI sessions
• Monitor AI quality with alerts
• Catalog AI systems and assess their risk
• Add guardrails against prompt injection and data leaks

Who it's for

• AI engineers
• ML platform teams
• Security and compliance teams
• Enterprises

Why use Openlayer

• Evals run before release and after deployment, so quality is checked rather than assumed.
• Production traces show where a failure started without piecing together separate logs.
• A free Basic plan lets a small team start without a purchase order.
• Enterprise adds access controls, SSO, on-premise deployment and compliance reporting.
• The security page lists SOC 2 Type II, GDPR compliance and HIPAA-aligned use cases.

Openlayer features

• AI test library with 175+ out-of-the-box evals
• Custom tests and custom metrics
• CI/CD testing with GitHub Actions, Jenkins and CircleCI
• Production tracing of prompts, retrieval, model calls and tool calls
• Alerts when quality drops
• Failed sessions turned into regression tests
• Central AI registry with intake forms and risk tiering
• Guardrails against prompt injection, jailbreaks and PII or PHI leakage
• RBAC, SAML, OIDC and directory sync
• On-premise, VPC and air-gapped deployment options

Openlayer integrations

• GitHub Actions
• Jenkins
• CircleCI
• Okta
• Google SSO

How to get started with Openlayer

1. Connect your application using an SDK, framework integration, the gateway, CLI or REST API.
2. Choose tests from the library or write custom ones, and set pass thresholds.
3. Run the tests in CI so a failing check blocks a risky deployment.
4. Trace production sessions and set alerts for quality drops.
5. Turn failed sessions into regression tests for the next release.

Openlayer limitations

• Basic plan: 1 member, 5 projects, 20,000 inference logs per month and 3 months of data retention
• On-premise deployment, SAML SSO, RBAC and compliance reports are Enterprise features
• Basic support is community support through Discord

Openlayer pricing

Yes, Openlayer has a free plan.

Openlayer plans

• Basic

  Free

  • 1 member and 5 projects
  • 20,000 inferences per month
  • AI test library
  • Observability and tracing
  • CLI, SDK and API access
  • Community support

• Enterprise

  Custom

  • Everything in Basic
  • Unlimited members and projects
  • Team access controls
  • On-premise deployment
  • SAML SSO
  • 99.99% SLA
  • White-glove onboarding

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Openlayer alternatives

The main Openlayer alternatives listed on Debuly are Langfuse, Braintrust, Galileo, Weights & Biases, Helicone and Promptfoo. The table compares pricing and platforms; order is A–Z.

1. 

   Braintrust

   AI observability and evaluation platform for tracing LLM apps and agents, scoring outputs and catching regressions before release.

   Developer platformsCoding
   FreemiumVisit Braintrust (official site)
2. 

   Galileo

   AI observability and eval platform that tunes evals to your data and turns them into guardrails for LLM apps and agents.

   Developer platformsAutomation and agents
   FreemiumVisit Galileo (official site)
3. 

   Helicone

   Open-source LLM observability and AI gateway that logs requests, tracks cost and latency, and routes to 100+ models through one API.

   Developer platformsCoding
   FreemiumVisit Helicone (official site)
4. 

   Langfuse

   Open-source LLM observability and evaluation platform for tracing agents, managing prompts and scoring outputs.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Langfuse (official site)
5. 

   Promptfoo

   Open-source LLM evaluation and red-teaming tool that finds prompt injections, jailbreaks and data leaks in AI apps and agents.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Promptfoo (official site)
6. 

   Weights & Biases

   Platform for tracking ML experiments and tracing, evaluating and monitoring LLM apps and agents with W&B Weave.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Weights & Biases (official site)

Openlayer FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from openlayer.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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