LangWatch
LLMOps platform combining tracing, evaluations, agent simulations, and prompt management.
About
Agent simulation testing is the headline capability LangWatch has built out: scripted scenarios with simulated users, tools, and state run against a real agent stack, turning end-to-end behavior into something CI can gate on. Around it sit the standard LLMOps pillars done thoroughly: OpenTelemetry-native tracing that stays framework and provider agnostic, offline and online evaluations, dataset curation from production traces, prompt versioning with GitHub integration, and an AI gateway offering an OpenAI and Anthropic compatible proxy with virtual keys, hierarchical budgets, inline guardrails, and automatic provider fallback. SDKs cover Python, TypeScript, and Go, with integrations for LangChain, LangGraph, Vercel AI, CrewAI, Mastra, and Google ADK. The core platform is Apache-2.0 with commercial enterprise modules confined to an ee directory, and deployment spans Docker Compose, Helm charts, and on-prem variants for AWS, Google Cloud, and Azure alongside the hosted cloud at langwatch.ai. At about 3,400 GitHub stars, it is documented at docs.langwatch.ai.
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Details
- Category
- AI Observability & Evaluation
- Price
- Freemium
- Platform
- Hybrid
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Added
- Jul 29, 2026
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