Currai
Currai is an LLM observability and prompt optimization platform that captures every LLM call, tool execution, and retrieval step in hierarchical traces. It provides real-time filtering by user, session, latency, cost, or custom metadata to help teams debug and understand AI application behavior. The platform includes a prompt management system that decouples prompts from application code, allowing one-click deployments, rollbacks, and version history. Teams can collaborate on prompt improvements and preview compiled prompts with variables before publishing. Currai supports A/B testing by splitting production traffic between prompt versions, measuring quality, latency, tokens, and cost to determine the best variant. It also offers evaluation capabilities using LLM judges, custom heuristics, or human review to score outputs and identify low-scoring responses grouped by failure reason.
- Category
- AI Monitor
- Pricing
- Unknown
Problem solved
Currai addresses the challenge of maintaining visibility, quality, and iteration speed in LLM-powered applications by providing a centralized platform for trace observability, prompt versioning, A/B testing, and automated evaluation, enabling teams to ship reliable AI features without drowning in disconnected logs or manual comparison.
Use cases
- Debug failed AI responses by inspecting full production traces
- Measure production response quality with automated evaluations
- Run A/B tests to compare prompt variants on real traffic
- Update prompts without redeploying the application
- Test prompts by replaying inputs and comparing outputs side by side
- Monitor token usage, latency, and cost across all LLM calls
- Collaborate on prompt improvements with version control
Audience
- Developers
- ML Engineers
- Data Scientists
- Product Managers
Pros
- Real-time hierarchical trace inspection
- Prompt A/B testing with traffic splitting
- One-click prompt deployments and rollbacks
- Collaborative prompt management with version history
- Integrated evaluations using LLM judges and heuristics
Cons
- No self-hosted deployment option available
- Pricing details not transparent on the website
- Limited to LLM observability (not full application performance monitoring)
- Relatively new platform with unproven long-term reliability
- May lead to vendor lock-in for prompt management workflows
Official website: https://currai.app/
Canonical LambdaBase page: https://www.lambdabase.com/tools/currai