langwatch

langwatch

LangWatch is an LLM engineering platform for testing, evaluating, observing, and governing AI agents through realistic simulations, traces, red-teaming, and prompt management to help teams ship reliable production agents.

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Freemium API Enterprise 80/100
#450 in AI Agents (450 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from Not listed on site; contact sales or book a demo for details

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langwatch

LangWatch is an LLM engineering platform that provides agent simulation testing, LLM evaluation, observability, governance, and prompt management to help teams detect and fix issues before production. The platform runs realistic text and voice simulations, traces every agent step (including tool calls and tokens), supports adversarial red-teaming, and provides evaluation workflows (LLM-as-judge, custom code, UI and notebook tooling). It is aimed at engineering teams, AI architects, product leaders, and enterprises shipping AI to production and offers cloud, self-hosted, and hybrid deployments with enterprise security and compliance features.

LLM observability and evaluation platform for monitoring, evaluating, and optimizing LLM applications.

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Key Features

Agentic AI Testing / Simulations

Run realistic text and voice simulations of user conversations and scenarios to test agents across many possible paths before production.

LLM Evaluation

Measure response quality and accuracy across single outputs or entire conversations using LLM judges, custom code, or full workflows; supports offline and live evaluations.

LLM Observability & Tracing

Trace every agent step, tool call, token, cost, and latency with full production visibility, search, filters, and custom views (waterfall, flame graph, topology, sequence).

AI Governance

Govern models, keys, and tools with virtual keys, budgets, routing policies, audit trails, RBAC, SCIM/SSO, audit logs and retention policies.

Prompt Management

Version, deploy, and A/B test prompts as code with history and GitHub sync; integrates prompt revisions into development workflows.

Voice AI Testing

Test and simulate voice AI agents at scale to validate behavior before exposing them to customers.

Red-teaming & Adversarial Testing

Run adversarial simulations to probe jailbreaks, policy breaks, and unsafe tool calls; includes a Judge that expands trace steps and explains verdicts.

Langy: Scenario & Automation

Langy converts PM goals into Scenario test plans, generates scenarios, runs simulations, scores with an audited rubric, and drafts PR-ready prompt revisions.

Integrations & SDKs

Works with existing agent frameworks and tooling, OpenTelemetry-native tracing, and provides SDKs (Python, TypeScript, Go) and platform integrations.

Deployment Options

Cloud SaaS, self-hosted (Docker, Kubernetes/Helm), hybrid deployment with data-plane-on-your-infra and control-plane options.

Pricing

Free Tier Available

Start free in 5 minutes (site advertises a free/self-serve option; no further free-tier details provided)

Managed / Cloud (SaaS)

Not listed on site; contact sales or book a demo for details
  • Managed multi-tenant SaaS · EU / US / UK / APAC
  • Enterprise security controls and compliance

Self-hosted / Hybrid

Not listed on site; contact sales or book a demo for details
  • Self-host with Docker, Kubernetes/Helm or hybrid data/control plane
  • Custom retention policies and SIEM integration

Use Cases

Pre-production agent testing

Simulate real user text and voice conversations to find failures and edge cases before agents are released to users.

Continuous evaluation and CI

Run the same scenarios locally and in CI to catch regressions on pull requests and keep tests consistent across development and deployment.

Red-teaming and safety validation

Perform adversarial simulations to uncover jailbreaks, unsafe tool calls, and policy violations prior to production exposure.

Observability and cost monitoring

Trace tokens, latency, and cost per span (including Claude Code and coding agents) to monitor production performance and spending.

Governance and compliance

Enforce who can touch data and models, use virtual keys with budgets and routing policies, audit trails and enterprise controls for procurement and security reviews.

Prompt iteration and shipping

Automatically turn failing scenarios into prompt revisions and PRs to accelerate iteration and keep PMs and devs aligned.

Integrations

OpenAI

Integration with OpenAI agent and models for testing and observability.

AWS Bedrock

Support for AWS Bedrock models and agents.

Azure OpenAI

Support for Azure OpenAI deployments.

Vertex AI

Support for Google Vertex AI models and agents.

LangChain / LangGraph

Integrations for common agent frameworks and orchestrators.

SDKs & Telemetry

Python, TypeScript, Go SDKs and OpenTelemetry-native tracing support for instrumentation.

Claude Code / Coding agents

Track Claude Code usage, tokens and cost for coding agents.

Benefits

Catch issues before production by running realistic simulations and red-team tests.
Increase reliability through continuous testing and specification-driven agent building (specs → simulations → agent improvement loop).
Speed up development with automated scenario generation, CI integration, and Langy-driven PM-to-PR workflows.
Full production visibility into traces, tokens, latency, and cost for informed operational decisions.
Enterprise-grade governance and compliance (ISO 27001, GDPR, EU data residency, audit logs) to satisfy procurement and security reviews.

Limitations

Claim this listing to add transparent limitations.

Frequently Asked Questions

Claim this listing to publish FAQs.

Getting Started

  1. 1 Step 1: Book a demo or talk to an engineer to discuss deployment and security requirements (site offers 'Book a demo' and 'Talk to an engineer').
  2. 2 Step 2: Start with the free/self-serve option (site advertises 'start free in 5 minutes') or deploy self-hosted (advertised 'Self-host in 15 min').
  3. 3 Step 3: Add scenarios to local development and CI, instrument traces (OpenTelemetry-native), and begin running simulations and evaluations.

Support

Docs

Documentation and SDKs are listed on the site (Docs, SDKs).

Demo / Sales

Book a demo or talk to an engineer (site CTAs for 'Book a demo' and 'Talk to an engineer').

Status / Trust center

Site references a Trust center and Status page for operational and compliance information.

Blog / Customer stories

Customer stories and blog posts are available from the site for use cases and testimonials.

API

Available: Yes
Documentation:

Docs (site includes 'Docs' and SDKs links)

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