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LangWatch Instant Evals

Application

by LangWatch

A LangWatch component that evaluates stored agent conversations, traces, and LLM calls against questions expressed in plain language.

Find alternatives to LangWatch Instant Evals

What it does

• Evaluation and observability

Features 4

• LangWatchQL eval()Runs evals inside a SQL query so each row gets a verdict, up to 100,000 rows per run.
• Search production historyJudges every conversation, trace or LLM call in a chosen period from a plain-words question.
• Dataset exportExports matches as JSONL for post-training, prompt tuning or a test set.
• Multiple questions per rowAsks up to ten questions per row for the cost of one, with cost shown before the run.

Sources

Pricing

Official documentation · 16 Oct 2026

"The rate is 0.0546 USD per million input tokens the judge reads"

Description

Official documentation · 16 Oct 2026

"Instant Evals judge every conversation, trace or LLM call your agent produced"

What it does

Official documentation · 16 Oct 2026

"a question in plain words, judged against every row"

Sold within

Official documentation · 16 Oct 2026

"Instant Evals in LangWatch"

Name

Official documentation · 16 Oct 2026

"Instant Evals judge every conversation"

URL

Official documentation · 16 Oct 2026

"Instant Evals judge every conversation"

Deployment

Official documentation · 16 Oct 2026

"On the hosted service, and through Connect"

Interfaces

Official documentation · 18 Oct 2026

Page: 'From the CLI, as a function inside a SQL query in LangWatch, from Langy in the app, or over the REST API'.

Also from LangWatch

• LangWatch LLM observability Developer tool

  LangWatch LLM observability traces model calls, tool calls and retrieval steps while displaying costs, latency and errors.

• LangWatch AI Gateway API service

  Gateway that puts every LLM call through one endpoint on the customer's own provider keys, with per-person, team, project and customer spending budgets, provider fallback, a trace for every call and webhooks for billing end customers.

• Langy AI agent

  LangWatch's automated AI engineer: it reads production traces, clusters failures, writes tests and opens a pull request with CI checks, running on the customer's own model keys; you review and merge.

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