langwatch
LangWatch is an open-source platform designed to help teams build, evaluate, and monitor AI agents with complete visibility and control. It supports collaboration between technical and non-technical users to catch edge cases, reduce rework, and optimize AI quality before production deployment.
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Quick Overview
Best for: Creative & Design
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
Creative & Design
Pricing snapshot
Free
Next step
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langwatch
LangWatch is a comprehensive AI agent testing and evaluation platform that enables teams to simulate AI agents, track responses, and catch failures before production. It provides built-in tools for data selection, evaluation, and testing, allowing teams to move quickly while maintaining control over AI quality. The platform supports collaboration across roles including AI engineers, data scientists, product managers, and domain experts, empowering both technical and non-technical users to contribute to AI quality assurance. LangWatch is fully open-source and can be run locally or self-hosted, ensuring no data lock-in and seamless integration with existing AI stacks.
LLM observability and evaluation platform for monitoring, evaluating, and optimizing LLM applications.
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Claim this listingKey Features
Agent Simulation
Simulate AI agents to test their behavior and catch edge cases before deployment.
Evaluations and Testing
Built-in tools for running evaluations, managing datasets, and testing AI models.
Collaborative Platform
Enables both technical and non-technical team members to collaborate on experiments, prompt management, and annotation.
OpenTelemetry Integration
Native support for OpenTelemetry to integrate with all LLMs and AI agent frameworks.
Self-Hosted and On-Premise Options
Supports deployment on-premises, in VPCs, air-gapped, or hybrid environments.
Role-Based Access Controls
Enterprise-grade security with role-based access and compliance with GDPR and ISO27001.
Optimization Studio with DSPy
Advanced tools for optimizing AI agents and workflows.
Data Export and Interoperability
No data lock-in with the ability to export data and integrate with other tools.
Pricing
LangWatch offers a fully open-source platform that can be self-hosted, allowing free access to core features without vendor lock-in.
Use Cases
Design Smarter AI Agents
Use simulations and evaluations to design AI agents based on evidence rather than guesswork.
Evaluate Retrieval-Augmented Generation (RAG) Quality
Test and measure the quality of RAG models to ensure accurate and reliable outputs.
Test Multimodal Voice Agents
Simulate and evaluate voice-based AI agents across multiple interaction turns.
Manage AI Quality Control
Reduce rework and manage regressions by continuously monitoring and optimizing AI performance.
Integrations
OpenTelemetry
Enables native integration with all LLMs and AI agent frameworks for telemetry and monitoring.
Python SDK
Allows programmatic access to LangWatch features for AI engineers.
JavaScript/TypeScript SDK
Enables integration with web and agent frameworks using JS/TS.
AI Frameworks
Supports integration with LangChain, LangGraph, Pydantic AI, AWS BedRock, AgnoCrew AI, and others.
Benefits
Limitations
Frequently Asked Questions
How does LangWatch work?
What is LLM observability?
Is LangWatch self-hosted available?
Can I try LangWatch for free?
How does LangWatch handle security and compliance?
Getting Started
- 1 Step 1: Sign up and book a demo or access the platform.
- 2 Step 2: Integrate LangWatch with your AI agents using the Python or TypeScript SDKs.
- 3 Step 3: Start running simulations, evaluations, and monitoring AI agent responses.
- 4 Step 4: Collaborate with your team using the UI to manage prompts, datasets, and annotations.
- 5 Step 5: Optimize AI agents using the built-in Optimization Studio.
Support
Documentation
Comprehensive docs available at https://langwatch.com/docs
Demo Booking
Schedule a demo via the website to get personalized support.
Community & GitHub
Open-source project with community support via GitHub repository.
API
API and SDK documentation available at https://langwatch.com/docs/integrations
Not publicly specified
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