LangWatch is the premier LLM engineering platform designed for teams shipping AI to production. It offers a comprehensive suite of tools for monitoring, evaluating, and testing AI agents, ensuring reliability and performance. Key features include Agentic AI Testing, allowing you to run realistic user scenarios against your agent to catch issues before production. LLM Evaluation helps measure response quality and accuracy, ensuring your agents perform reliably. LLM Observability provides full production visibility by tracing every agent step and monitoring cost and latency. AI Governance enables control over every model, key, and tool with virtual keys, budgets, routing policies, and a full audit trail. Prompt Management allows for versioning, deployment, and A/B testing of prompts as code, with full history and GitHub sync. Additionally, Voice AI Testing enables you to test and simulate voice AI agents at scale before they interact with customers, and LLM Red-teaming uses simulated attacks to uncover safety and security gaps. LangWatch is OpenTelemetry-native and supports self-hosting options with Docker, Kubernetes/Helm, or within your VPC, as well as hybrid and managed multi-tenant SaaS deployments. It is trusted by leading companies for its robust testing, evaluation, and observability capabilities, helping teams ship AI features with confidence, faster and safer.

• Agentic AI Testing: Run realistic user scenarios (simulations) against your agent.

• LLM Evaluation: Measure response quality and accuracy.

• LLM Observability: Trace every agent step and monitor cost and latency.

• AI Governance: Govern every model, key, and tool.

• Prompt Management: Version, deploy, and A/B test prompts as code.

• Voice AI Testing: Test and simulate voice AI agents at scale.

• LLM Red-teaming: Uncover safety and security gaps.