Confident AI
Evaluation and observability workspace that monitors agent traces and turns failures into regression tests
Confident AI is an evaluation and observability platform for LLM applications and agents, built by the team behind the open-source DeepEval and DeepTeam frameworks. Engineering, product, QA and domain experts share one workspace to monitor production, review traces and turn feedback into evals that run on every release.
Key features:
- Evaluate every production trace, group failures into issues and alert the team.
- Inspect trace trees of each agent, tool and LLM step with tokens and latency.
- Turn a flagged bad response into a custom metric checked on every release.
- Run unit and regression tests in development and CI/CD.
- Annotate outputs in queues and version prompts with Git-based workflows.
- Simulate chats and red-team applications for vulnerabilities.
Confident AI runs as a hosted cloud, with dedicated on-prem deployment, HIPAA and custom data residency on Enterprise. The free plan includes 2 seats, 1 project and 5 test runs a week; Starter is $200/month and Team $2,000/month, with trace storage at $1 per GB-month beyond the included amount.