whereismyai
LangWatch
LangWatch is an AI agent testing and evaluation platform that turns unpredictable agents into reliable production systems.
LangWatch is an AI agent testing and evaluation platform designed to turn unpredictable agents into reliable production systems. It features simulation-based testing, continuous evaluation, observability, and governance tools. Teams can write scenarios in plain language, run adversarial red teaming, trace tool calls, skills, and MCP servers, and evaluate outputs using LLM judges, custom code, or full workflows. It supports multimodal inputs, OpenTelemetry native integration, topic clustering, and custom analytics. LangWatch is built for CTOs, engineers, AI architects, and product leaders shipping mission-critical AI, and it deploys via cloud, self-hosted Docker, Kubernetes, or hybrid setups.
LangWatch at a glance
- Best for: Software engineer
- Runs on: Web, API, self-hosted
- Pricing: Free plan; Growth €29/core-seat/month plus usage; Enterprise custom pricing
- Released: September 2023
- Category: AI coding tool
- Website: langwatch.ai
Key features
- Simulation-based AI agent testing
- Plain language scenario writing
- Adversarial red teaming
- OpenTelemetry native GenAI spec support
- Waterfall, flame graph, and sequence views
- Automatic topic clustering
- Custom analytics graphs and metrics
Use it for
- Testing complex multi-step AI agents
- Replicating and fixing production issues
- Running offline and online evaluations
- Comparing outputs side by side with pairwise testing
Companions
Tools that articles about LangWatch recommend using with it, each with its job.
- Pinecone — Managed retrieval for the fastest path to production.
- Qdrant — Self-hosted vectors when cost or data residency matter.
- Ollama — Fully self-hosted inference paired with Qdrant.
Alternatives to LangWatch
- LangSmith — Step-by-step traces and evals that show what an agent actually did
- LangChain — Compose exactly the agent your use case needs from model, tools, prompt, and middleware.
- LangGraph — Fine-grained control over long-running, stateful agent workflows
- Langflow — Builds and deploys AI agents visually with Python and major LLMs.
- LangBot — Choose between free public beta cloud and dedicated production environments.
- AG-UI — Standardizes agent-user interactions and generative UI for applications.
- Langfuse — It connects tracing, prompt management, and evaluations in one open platform.
- ARTEX — Runs autonomous multi-agent penetration testing with a dual-graph architecture.
- AgentOps — Track token usage, costs, and traces across 400 plus LLMs and agent frameworks.
- Coucou — It provides open-source, real-time agent monitoring and approvals directly from the screen notch.
- Langfa.st — Compare model responses side-by-side to validate prompts before deployment.
- Langroid — Simplifies multi-agent orchestration and app development with intuitive abstractions.
All LangWatch alternatives