LangWatch
Overview of LangWatch
LangWatch: AI Agent Testing and LLM Evaluation Platform
LangWatch is an open-source platform designed for AI agent testing, LLM evaluation, and LLM observability. It helps teams simulate AI agents, track responses, and catch failures before they impact production.
Key Features:
- Agent Simulation: Test AI agents with simulated users to catch edge cases and prevent regressions.
- LLM Evaluation: Evaluate the performance of LLMs with built-in tools for data selection and testing.
- LLM Observability: Track responses and debug issues in your production AI.
- Framework Flexible: Works with any LLM app, agent framework, or model.
- OpenTelemetry Native: Integrates with all LLMs & AI agent frameworks.
- Self-Hosted: Fully open-source; run locally or self-host.
How to Use LangWatch:
- Build: Design smarter agents with evidence, not guesswork.
- Evaluate: Use built-in tools for data selection, evaluation, and testing.
- Deploy: Reduce rework, manage regressions, and build trust in your AI.
- Monitor: Track responses and catch failures before production.
- Optimize: Collaborate with your entire team to run experiments, evaluate datasets, and manage prompts and flows.
Integrations:
LangWatch integrates with various frameworks and models, including:
- Python
- Typescript
- OpenAI agents
- LiteLLM
- DSPy
- LangChain
- Pydantic AI
- AWS BedRock
- Agno
- Crew AI
Is LangWatch Right for You?
LangWatch is suitable for AI Engineers, Data Scientists, Product Managers, and Domain Experts who want to collaborate on building better AI agents.
FAQ:
- How does LangWatch work?
- What is LLM observability?
- What are LLM evaluations?
- Is LangWatch self-hosted available?
- How does LangWatch compare to Langfuse or LangSmith?
- What models and frameworks does LangWatch support and how do I integrate?
- Can I try LangWatch for free?
- How does LangWatch handle security and compliance?
- **How can I contribute to the project?
LangWatch helps you ship agents with confidence. Get started in as little as 5 minutes.
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