Gentrace

Freemium

A tool to automate grading, monitoring, and production management with AI and heuristic evaluators.

Gentrace is an observability and evaluation platform designed for AI agent tracing and production management. It provides tools for automated grading, error analysis, and alerting across various LLM frameworks. The platform serves AI developers and engineering teams by offering deep integrations with OpenAI, LangChain, and Mastra to facilitate rigorous testing and monitoring of AI-driven applications (verified: 2026-01-29).

Jan 29, 2026
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Pricing: Freemium
Last verified: Jan 29, 2026
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Key facts

Pricing

Freemium

Use cases

AI developers requiring automated grading and monitoring of agentic workflows through heuristic and AI-based evaluators (verified: 2026-01-29), Engineering teams implementing error analysis and alerting for production LLM applications to maintain performance standards (verified: 2026-01-29), Software architects integrating observability into LangChain or OpenAI pipelines using specialized SDKs for Python and JavaScript (verified: 2026-01-29)

Strengths

The platform provides native instrumentations for popular frameworks including LangChain, LangGraph, Mastra, and OpenAI for both Python and JavaScript (verified: 2026-01-29), Users can perform detailed error analysis and set up alerting systems to monitor the health and performance of AI interactions (verified: 2026-01-29), The system supports complex evaluation workflows including unit tests, dataset tests, and experiments to validate AI agent behavior (verified: 2026-01-29)

Limitations

Self-hosted deployment options are restricted to specific administrative configurations or enterprise-level requirements as stated in the documentation (verified: 2026-01-29), Full access to advanced administrative features like Single Sign-On and SCIM requires specific organizational roles and setup (verified: 2026-01-29)

Last verified

Jan 29, 2026

Strengths

  • The platform provides native instrumentations for popular frameworks including LangChain, LangGraph, Mastra, and OpenAI for both Python and JavaScript (verified: 2026-01-29)
  • Users can perform detailed error analysis and set up alerting systems to monitor the health and performance of AI interactions (verified: 2026-01-29)
  • The system supports complex evaluation workflows including unit tests, dataset tests, and experiments to validate AI agent behavior (verified: 2026-01-29)

Limitations

  • Self-hosted deployment options are restricted to specific administrative configurations or enterprise-level requirements as stated in the documentation (verified: 2026-01-29)
  • Full access to advanced administrative features like Single Sign-On and SCIM requires specific organizational roles and setup (verified: 2026-01-29)

FAQ

What specific AI frameworks and libraries does Gentrace support for instrumentation?

Gentrace provides direct integrations and instrumentations for several major AI tools including OpenAI, LangChain, LangGraph, Mastra, and Pydantic AI. It also supports Next.js and the AI SDK, allowing developers to trace and evaluate interactions across both Python and JavaScript environments (verified: 2026-01-29).

How does the platform handle the evaluation of AI datasets and experiments?

The platform includes a comprehensive evaluation suite that allows users to run experiments, manage datasets, and perform unit tests. These tools help developers grade AI outputs using both heuristic and AI-based evaluators to ensure production quality and consistency (verified: 2026-01-29).

What administrative and security features are available for enterprise-level deployments?

For large-scale deployments, Gentrace offers administrative features such as Single Sign-On (SSO), SCIM for identity management, and role-based access control. Additionally, the platform supports self-hosted deployment options for organizations with specific data residency or security requirements (verified: 2026-01-29).