Currai
LLM observability and prompt A/B testing platform.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
--
Last Updated
Aug 04, 2026
Overview
What is Currai?
Currai is an observability and tracing platform designed for LLM applications. It helps developers move away from basic print statement debugging by tracing every prompt, token, and tool call in a single view. The platform enables monitoring production traffic, calculating costs based on processed bytes, running evaluations, and A/B testing prompt versions live without requiring any local infrastructure to run. It offers drop-in Python and TypeScript SDKs and is byte-compatible with Langfuse and OpenTelemetry, making it easy to integrate or migrate existing projects.
What is Currai used for?
Top Features
- Full tracing of prompts, tokens, and tool calls in one view
- Production prompt A/B testing and evaluation scoring
- Background trace batching and flushing to prevent application slowdown
- Byte-compatible drop-in support for Langfuse and OpenTelemetry
- Pricing model calculated on processed data volume (bytes) instead of flat trace counts
How to use Currai?
To use Currai, install the SDK via pip or npm, initialize it using your public and secret keys, and wrap your LLM calls using the trace and generation methods to start capturing inputs, outputs, and token usage.
Alternative Tools
No alternative tools found
Pros & Cons
No Data
Use Cases
- Debugging complex, nested LLM application requests and chains
- Tracking and monitoring real-time API token usage and daily expenditures
- A/B testing new prompt variations against live production traffic
- Stitching multi-turn conversations together to track user sessions
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