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Agentic AI Testing
Run realistic user scenarios against your agent to catch issues before production
LLM Evaluation
Measure response quality and accuracy so you ship agents that hold up in production
LLM Observability
Trace every agent step and monitor cost and latency with full production visibility
AI Governance
New
Govern every model, key, and tool. Virtual keys with budgets, routing policies, and a full audit trail
Prompt Management
Version, deploy, and A/B test prompts as code, with full history and GitHub sync
Voice AI
Test and simulate your voice AI agents at scale, before they talk to customers
LLM Red-teaming
Simulated attacks that uncover safety and security gaps in AI agents
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Aryan Sharma
2 posts on the LangWatch blog.
April 15, 2026
Governance AI
Every way your AI agent can be broken (and how attackers actually do it)
November 25, 2025
Product Releases
Scenario MCP: Automatic Agent Test Generation inside your editor
