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Langsage

Langsage is an observability and evaluation platform built for LLM apps, giving teams full visibility into call traces, output quality, model spend, and service reliability.
Rating:
5
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LLM observability platformAI agent evaluation toolprompt and workflow testingmulti-model routing gatewayLLM cost tracking and budget controlOpenAI SDK compatible platform

Features of Langsage

Drop-in OpenAI-SDK compatibility that lets you route traffic across any model or vendor from a single endpoint.
Live request tracing, logs, and dashboards so you can debug the full stack in real time.
Built-in evaluators for prompts, workflows, and agents—track quality drift and stability scores.
Usage metering and cost analytics sliced by project, model, or team for instant budget control.
Rate-limiting and quota governance to throttle spikes and protect your wallet.
Automatic fallback to backup models when the primary provider is down, keeping services online.
End-to-end loop from onboarding to observability, evaluation, and continuous optimization.

Use Cases of Langsage

Unify multiple model vendors behind one gateway and apply smart routing rules.
Surface quality drops or new errors fast by replaying traces and inspecting logs.
Compare prompt or agent versions side-by-side with eval metrics before you ship.
Keep spend in check with real-time cost dashboards and automated budget alerts.
Run production workflows under live monitoring and rate-limits for 24/7 ops.
Eliminate downtime by auto-switching to standby models during provider outages.

FAQ about Langsage

QWhat is Langsage?

Langsage is an all-in-one observability and evaluation platform for LLM applications—monitor, debug, test, and govern costs in one place.

QWhich models or ecosystems does Langsage support?

Langsage supports multi-model routing; popular providers include OpenAI, Anthropic, and Google Gemini.

QHow do I migrate an existing app to Langsage?

Swap your OpenAI SDK base URL with Langsage’s endpoint—no code changes—and gradually enable observability and eval features.

QWhat can I evaluate with Langsage?

Evaluate prompts, multi-step workflows, and agent outputs to spot quality regressions and stability issues.

QHow does Langsage help control model costs?

Track usage, analyze spend, set budgets, and enforce rate-limits to keep costs predictable.

QDoes Langsage offer high-availability features?

Yes—automatic failover to backup models keeps your service up when the primary provider fails; see official SLA for details.

QWhich teams should use Langsage?

Dev, platform, and ops teams running LLM apps in production who need continuous monitoring and evaluation.

QWhat are Langsage’s data ownership and usage terms?

You retain full ownership of your data; Langsage provides the infrastructure under standard acceptable-use and billing policies.

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