This task can be performed using Agenta
Agenta is an open-source LLMOps platform for building reliable AI apps. Manage prompts, run evaluations, and debug traces. We help developers and domain experts collaborate to ship LLM applications faster and with confidence.
Best product for this task
Agenta
dev-tools
Agenta is an open-source LLMOps platform that helps AI teams build and ship reliable LLM applications. Developers and subject matter experts work together to experiment with prompts, run evaluations, and debug production issues. The platform addresses a common problem: LLMs are unpredictable, and most teams lack the right processes. Prompts get scattered across tools. Teams work in silos and deploy without validation. When things break, debugging feels like guesswork. Agenta centralizes your LLM development workflow: Experiment: Compare prompts and models side by side. Track version history and debug with real production data. Evaluate: Replace guesswork with automated evaluations. Integrate LLM-as-a-judge, built-in evaluators, or your own code. Observe: Trace every request to find failure points. Turn any trace into a test with one click. Monitor production with live evaluations.
What to expect from an ideal product
- Centralized prompt repository where all team members can access, edit, and track changes to prompts in one place instead of having them scattered across different tools and documents
- Built-in version history that automatically saves every prompt iteration, letting teams compare different versions side by side and roll back to previous versions when needed
- Collaborative workspace where developers and domain experts can work together on the same prompts, share feedback, and make improvements without stepping on each other's work
- Real-time experimentation environment that lets teams test prompt changes with actual production data before pushing updates, reducing the risk of breaking live applications
- One-click deployment and rollback system that makes it safe to ship prompt updates across development, staging, and production environments while maintaining full control over what version is running where
