BotGauge

Founded by Pramin Pradeep in 2024

Red-team, evaluate, and monitor AI agents before they fail in production

Cost

Free Trial

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use BotGauge to test AI agents using adaptive red-teaming that simulates adversarial inputs and real-world edge cases. It traces every step of agent behavior including prompts, tool calls, and execution paths. You can convert discovered failures into repeatable evaluation checks, set up guardrails and policies, and monitor agents continuously as they evolve. It works with common frameworks like LangChain, LlamaIndex, and CrewAI without requiring changes to your existing setup.

What BotGauge does

Run adaptive adversarial tests against an AI agentInspect full execution traces including tool calls and prompt chainsAdd discovered failure cases to automated evaluation suitesDefine guardrails and policies to restrict agent behaviorScore agent responses on accuracy, goal completion, and policy adherenceConnect existing LLM frameworks without rewriting agent codeMonitor agent behavior continuously after production deploymentManage team access with SSO and project-level permissionsAdaptive red-teaming that explores adversarial inputs and unexpected agent pathsFull execution trace showing prompts, tool calls, context, and response pathsConverts red-team findings into repeatable evaluation checks that run on every releasePolicy and guardrail builder to enforce rules on agent behaviorWorks with LangChain, LlamaIndex, CrewAI, AutoGen and other frameworks without code changesSupports RAG assistants, voice agents, transactional agents, and multi-agent systemsCustom scoring criteria for goal completion, accuracy, and policy adherenceSOC 2 Type II certified with SSO and fine-grained access control