🚀 Now in Public BetaCurate & Evaluate
Curate & Evaluate
AI Agents with Confidence
The all-in-one platform to build, test, and refine your AI agents. Manage datasets, run automated evaluations, and debug in real-time.
TRUSTED BY INNOVATIVE TEAMS BUILDING THE NEXT GEN OF AI
Acme AI
Bolt
DataFlow
DevCorp
Everything you need to build reliable agents
Stop guessing. Start measuring. Quraite provides the tooling infrastructure to take your agents from prototype to production.
Automated Evaluation
Define custom metrics and run automated tests against your agent trajectories. Catch regressions before they hit production.
Dataset Management
Curate golden datasets from production logs or create them manually. Version control your test cases and manage them with ease.
Interactive Playground
Test your agents in a dedicated playground. Support for both script-based and scenario-based testing environments.
Python SDK
Seamlessly integrate with your existing Python workflow. Use our SDK to evaluate agents locally or in your CI/CD pipeline.
Local & Secure
Your data stays with you. Use our local evaluation plugin to keep sensitive datasets and evaluations within your infrastructure.
Trace & Debug
Deep dive into every step of your agent's execution. Visualize traces, inspect state, and debug complex reasoning chains.
Developer First
Integrate in minutes, not days
Quraite is built for developers. Our Python SDK makes it easy to wrap your agent code and start collecting evaluations immediately.
- ✓Type-safe schemas for test cases
- ✓Async support for concurrent evaluation
- ✓Compatible with LangChain, LlamaIndex, and custom agents
evaluate.py
from quraite.evaluation import evaluate from my_agent import agent # Define your test cases test_cases = [ "input": "Book a flight to NY", "expected": "Flight booked..." ] # Run evaluation results = await evaluate( agent=agent, data=test_cases, metrics=["accuracy", "latency"] ) print(f"Score: {results.score}")
Ready to build the next generation of AI agents?
Join hundreds of developers using Quraite to evaluate and improve their AI systems.