Gentrace
Gentrace is an AI tool designed to evaluate generative AI models using a combination of humans, AI, and heuristics. It focuses on assessing...
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What is Gentrace?
Gentrace is a platform for AI agent tracing, evaluation, and error analysis. It provides a minimal tracing SDK for quickly tracing AI agents using OpenTelemetry, the industry standard for observability. The platform enables cross-functional teams including ML engineers, product managers, quality assurance specialists, and engineers to collaboratively test AI outputs, ensuring reliability and safety in AI-driven products.
Key features include Gentrace Chat for debugging agent traces with full context, smart monitoring columns for tracking issues, custom evaluations that teams can build tailored to their unique use cases, dataset management for organizing test cases, experiments for running systematic evaluations with both unit tests and dataset tests, and alerting with Slack notifications for immediate issue detection. The platform supports multimodal outputs and integrates with AI SDK, LangChain, LangGraph, Mastra, Next.js, OpenAI Agents, OpenAI (JS/Python), and Pydantic AI.
Gentrace is designed for AI teams building LLM-powered applications who need to monitor, evaluate, and debug their AI agents. It allows teams to continuously evaluate AI model quality by leveraging AI and human evaluators, automatically detect regressions and hallucinations, and capture regressions before they go live. The tool eliminates the need for manual evaluation using spreadsheets by automating the grading process.
The platform supports both TypeScript (Node.js 20+) and Python (3.8+), making it accessible to developers using either language. It provides lightweight setup with immediate insights that can expand to comprehensive testing workflows as requirements evolve.
Gentrace pricing
Pricing model: Free
The website mentions a free signup for a Gentrace account. A Pro plan is available at $95/month. The platform offers self-hosted deployment options for enterprises. API keys are generated through the dashboard for authentication. Enterprise features include single sign-on (SSO) and SCIM for role-based access control.
Gentrace pros
- Minimal tracing SDK with easy install (npm install gentrace)
- Built on OpenTelemetry for industry-standard observability
- Gentrace Chat for debugging traces with full context like Cursor
- Supports both TypeScript and Python developers
- Automated error capture with full stack traces in OpenTelemetry spans
- Slack notifications for instant issue alerts
- Flexible dataset management with built-in tools
- Supports multimodal AI outputs
- Custom evaluations for unique use cases
- Integrates with LangChain, LangGraph, OpenAI Agents, and more
- Single sign-on (SSO) and SCIM for enterprise administration
- Self-hosted deployment option available
- Unit tests and dataset tests for comprehensive evaluation
- Experiment metadata for tracking model versions and environments
- Smart monitoring columns for tracking specific metrics
Gentrace cons
- Service has shut down and is no longer available
- Requires API key for all functionality
- Node.js 20+ required for TypeScript users
- Python users limited to version 3.8+
- Requires OpenAI API key or supported LLM provider
- interaction() wrapper required for traces to appear
- No free tier mentioned on current documentation
- Pro plan at $95/month may be expensive for small teams
Frequently asked questions about Gentrace
What is Gentrace?
Gentrace is a platform for AI agent tracing, evaluation, and error analysis. It provides a minimal tracing SDK for quickly tracing your AI agent using OpenTelemetry, enabling teams to chat with agent traces to debug them, create smart monitoring columns, and build tailored evaluations.
How do I install Gentrace?
Install Gentrace using npm install gentrace, yarn add gentrace, or pnpm add gentrace. For TypeScript, you need Node.js 20+. For Python, you need Python 3.8+. After installation, initialize with init({apiKey: process.env.GENTRACE_API_KEY}).
What is Gentrace Chat?
Gentrace Chat, inspired by Cursor, has full context of what's on your screen and allows you to quickly answer questions about your agent trace data, which is typically huge and hard to read. It helps you debug traces efficiently.
Does Gentrace support OpenTelemetry?
Yes, Gentrace is built on OpenTelemetry, the industry standard for observability, ensuring compatibility with any monitoring stack. The SDK automatically configures OpenTelemetry for you when you call init().
What integrations does Gentrace support?
Gentrace integrates with AI SDK, LangChain, LangGraph, Mastra, Next.js, OpenAI Agents, OpenAI (JS), OpenAI (Python), and Pydantic AI, making it compatible with popular AI development frameworks.
How do evaluations work in Gentrace?
Gentrace supports unit tests using evalOnce() for individual test cases and dataset tests using evalDataset() for batch evaluation against datasets. Both must be called within an experiment() context to properly track and group test results.
Can I set up alerts for AI issues?
Yes, Gentrace provides alerting with Slack notifications so you get notified instantly when issues arise. You can also receive regular quality summaries to track your AI performance.
What is the difference between evalOnce and evalDataset?
evalOnce runs a single unit test evaluation for individual test cases, while evalDataset runs batch evaluation against a dataset. evalDataset takes data from test cases and runs your interaction function against each case in the dataset.
Does Gentrace support enterprise features?
Yes, Gentrace offers enterprise administration features including single sign-on (SSO), SCIM for user provisioning, and role-based access control. Self-hosted deployment is also available for organizations with specific security requirements.
How do experiments work in Gentrace?
The experiment() function manages the experiment lifecycle, automatically starting and finishing while providing context for evaluation functions. It accepts a pipelineId, callback with test logic, and optional metadata for tracking model versions, environments, and other parameters.