Will tracing slow down my app?

No. Traces are batched and flushed in the background, so instrumentation never blocks a request. In short-lived processes, you call flush() or flush_async() before exit to make sure everything is sent.

How long does it take to get my first trace?

About five minutes. Install the SDK with pip install currai or npm i currai, paste your public / secret key pair, and wrap a single LLM call. The first request you make shows up in the dashboard right away.

How is pricing calculated?

Usage is billed on the data Currai actually processes—measured in processed bytes—not on a flat per-trace fee. Large traces and tiny traces are priced for what they are, so your cost tracks real volume instead of row counts.

Currai: LLM observability and prompt A/B testing platform.

Name: Currai
Rating: 5 (74 reviews)
Author: toolify

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Introduction:

LLM observability and prompt A/B testing platform.

Added on:

Jun 30 2026

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Currai Product Information

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.

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.

Currai's Core 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

Currai's 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

FAQ from Currai

Will tracing slow down my app?
How long does it take to get my first trace?
How is pricing calculated?

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Currai Reviews (0)

5 point out of 5 point

Currai Pricing

Starter

$0/mo

50 MB included, 3-day retention, drop-in SDKs, full traces, tokens & cost in one view, Langfuse & OpenTelemetry compatible

Pro

$8/mo

2 GB included, 14-day retention, everything in Starter plus run evals and A/B test prompt versions in production, sessions & users roll-ups, and cost, token & latency dashboards

Business

$20/mo

4 GB included, 30-day retention, everything in Pro plus hosted ingestion, storage & dashboards, and priority support

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