BotGauge is a testing and observability platform built for teams shipping AI agents. Its core idea is that agents can take paths you never anticipated, and a change in the model, prompt, tool, or context can send an agent down a completely different route. BotGauge uses adaptive red-teaming and real-world scenarios to explore those paths and surface unexpected behavior before it reaches users. Each finding can be converted into an evaluation and safeguard that runs with every release.
The platform is organized around four core capabilities. Red teaming runs adaptive tests across inputs, context, tools, policies, and multi-turn interactions, with custom strategies for scenarios you care about. Tracing lets you follow every step behind a result, inspecting prompts, responses, tool calls, context, and execution paths. Evaluations turn discoveries into repeatable checks that score goal completion, accuracy, policy adherence, and custom criteria. Policies and guardrails carry the standards that matter into evaluation, monitoring, and safeguards.
BotGauge is framework- and model-agnostic, supporting tools, models, and frameworks teams already use, including OpenAI, Anthropic, LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, and AutoGPT. It targets a range of agent types such as RAG assistants, customer support agents, voice agents, multi-agent systems, and transactional agents. Enterprise features include SOC 2 Type II, SSO/SAML, and fine-grained access control. A free start option and a demo request are offered, with pricing available on contact.
