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Braintrust alternative

A Braintrust alternative for LLM traces, evals, and prompt tests

Currai is an option for teams evaluating AI observability platforms and looking for production traces, eval scores, prompt A/B tests, token cost tracking, and OpenTelemetry-compatible ingestion.

Primary keyword

Braintrust alternative

Currai covers

Traces, generations, spans, evals, prompt A/B tests, token usage, cost, latency, sessions, users, and OpenTelemetry ingestion.

Focus on production traces and measurable prompt changes

Currai brings observability, evals, prompt experiments, and cost data into one workflow. Start from a production trace, inspect what happened, score the output, and compare whether a prompt version improved the result.

That workflow is useful for teams that need more than raw logs but want a straightforward hosted system for LLM app behavior.

  • Trace prompts, responses, tool calls, sessions, and users.
  • Run evals and compare prompt versions against real outputs.
  • Track token usage, cost, latency, and quality in the same context.

How to evaluate fit

When comparing Currai with Braintrust or other AI observability tools, test the workflow your team repeats most: tracing an issue, turning it into an eval, testing a prompt change, and deciding whether to ship.

Currai is designed to make that loop fast for teams shipping production LLM apps.

Questions about Braintrust alternative

Is Currai only for evals?

No. Currai combines observability, LLM tracing, prompt experiments, evals, sessions/users, token usage, and cost tracking.

Does Currai support production traces?

Yes. Currai is built around production traces and can ingest through Currai SDKs, Langfuse-compatible clients, or OpenTelemetry.