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Currai

Currai

LLM observability platform

Track, evaluate, and test prompts

Development and ToolsModel training and deployment LLM observabilityAI observabilityLLM trackingPrompt A/B testingLLM evaluation
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Highlights

Hierarchical traces for every LLM call
Evaluations with LLM judges or manual review
Prompt A/B testing on production traffic
Prompt management with one-click rollback
Cost and latency tracking by model

What you can do with it

  • A team finding a retrieval timeout breaking answers
  • A company comparing prompt versions on quality and cost
  • Data scientists grouping low-scoring responses

How to use it

  1. 1 Register and start the 7-day trial
  2. 2 Integrate with your model providers and tools
  3. 3 Capture traces and explore the dashboard
  4. 4 Set up evaluations and A/B tests
  5. 5 Manage prompts and analyze cost data

Who it is for

AI development teamsData scientists running experimentsOperations teams monitoring LLM systems

Pros

  • Full visibility into every call and tool
  • A/B testing uses real traffic, not guesses
  • Integrates with common providers

Limitations

  • Adds instrumentation work to your stack
  • The trial is only seven days
  • Evaluations need setup to be meaningful

What Currai is

Currai is an observability platform for LLM applications. Building with large language models introduces a new kind of debugging: a bad answer can come from the prompt, the retrieval step, the tool call, or the model itself. Currai captures every LLM call, tool execution, and retrieval step and presents them as hierarchical traces you can filter by user, session, latency, cost, or custom metadata. From there you can evaluate outputs using LLM judgment, custom heuristics, or manual review, and run those evaluations on production traffic as well as in prompt experiments.

What you can do with it

- Trace every call, tool execution, and retrieval step

- Evaluate outputs with LLM judges, heuristics, or manual review

- Run prompt A/B tests on live traffic

- Manage prompts outside the codebase with one-click deploy and rollback

- Break down latency, token usage, and cost by model and prompt

Who it is for

- AI development teams shipping LLM features

- Data scientists comparing prompts and models

- Operations teams monitoring running systems

What to watch out for

Instrumenting your application takes engineering effort, so plan for integration work rather than instant value. The seven-day trial is short for measuring long-term quality trends. Evaluations are only as good as the criteria you set, so invest time in defining what a good answer looks like. Cost tracking helps, but budgets still need human oversight. Name and archive exported files consistently so you can find and reuse them, and keep a backup copy of key data. When quality matters, export a small draft first to confirm the result before producing the final file. Generated suggestions are for reference only, so verify anything that affects professional judgment or important data.

FAQ

What is Currai?

It is an observability platform for LLM applications, covering tracking, evaluation, prompt management, A/B testing, and cost analysis.

What can I test?

You can split production traffic between prompt versions and compare quality, latency, tokens, and cost on real user requests.

How long is the trial?

The free trial lasts seven days.

Why it is free

What the official page says: free trial

Free limits, trial length and features are decided by the official site and can change at any time.

Product preview

Currai product screenshot

Screenshot archived from the listing page, for preview only.

Currai

Currai provides functions such as LLM observability, tracking, evaluation, and prompt A/B testing.

Visit official site →

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