LangWatch

LangWatch is a Coding & Development tool that provides an AI agent testing and LLM evaluation platform. It helps developers ship quality agentic AI at scale by preventing regressions and debugging issues.

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At a glance

Pricing

Enterprise · Likely Not Free

Free tier

API

Yes

Skill level

Technical

About

What is LangWatch?

LangWatch is a comprehensive AI agent testing, LLM evaluation, and observability platform designed for developers to ship reliable agentic AI at scale. It allows users to turn production traces into evaluations, compare prompts and models, and simulate end-to-end agentic systems. The platform helps prevent regressions and debug issues by providing structured evaluations and simulations, reducing reliance on manual checks. Key features include prompt and model management with full traceability, real-time custom evaluations, and LLM observability for inspecting interactions. LangWatch also offers agent simulations for complex AI, batch tests, and auto-evaluations, alongside tools for data review, labeling, and performance optimization with DSPy. It integrates seamlessly with any LLM or agent framework and supports self-hosting.

Best used for

Ideal for developers who need to ensure the quality and reliability of their AI agents and LLMs, prevent regressions with new releases, and debug issues efficiently. Especially valuable for teams building complex agentic AI systems that require rigorous testing and continuous monitoring in both pre-production and production environments.

Common actions

test AI agents

evaluate LLMs

monitor LLM performance

debug AI applications

optimize prompts

customizable dashboardsperformance monitoringoptimizationCompliancelarge language model applicationsdataset managementPrompt engineeringllmopsDevelopersframework integration+ 5 more

Capabilities

Key features

AI agent testing
LLM evaluation
LLM observability
Prompt management
Agent simulations
Batch tests
Auto-evaluations

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Enterprise · Likely Not Free

Developer

FAQs

How does LangWatch compare to other LLM observability platforms like Langfuse or LangSmith?

LangWatch focuses on providing a developer-first, collaborative platform for defining evaluations, running experiments, simulating multi-step agent behavior, and monitoring production signals. It emphasizes preventing regressions and debugging issues through structured testing and observability, offering a comprehensive suite for agentic AI quality assurance.

Can LangWatch be self-hosted or deployed on-premise?

Yes, LangWatch offers self-hosted deployment options, including on-premise, VPC, and air-gapped environments. It is OpenTelemetry native and fully open-source, allowing for flexible deployment and integration into existing infrastructure while ensuring data control and compliance.

What types of AI agents and LLMs does LangWatch support?

LangWatch is designed to work with any LLM or agent framework. It integrates seamlessly with various models and frameworks, allowing users to test and evaluate a wide range of AI agents, including those with RAG, multimodal capabilities, and multi-turn conversations, ensuring broad compatibility.

How does LangWatch help prevent regressions in AI agents?

LangWatch prevents regressions by enabling structured evaluations and simulations before deployment. It allows teams to run thousands of synthetic conversations, track the impact of changes across prompts and agent pipelines, and automatically execute full test suites, ensuring quality with every release.

Does LangWatch support collaboration between technical and non-technical team members?

Yes, LangWatch is built for collaboration. Engineers can run prompts and evaluations programmatically, while non-technical users like product managers or domain experts can use the UI to define evaluations, annotate model outputs, and contribute to the quality testing loop.

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Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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