7 Botium Alternatives for LLM Chatbot and Voice Testing

Botium’s open-source core and several connectors remained active as of October 2026, but its CLI and some integrations, including Rasa, had not been updated for years, prompting teams to consider tools designed for LLM-driven chatbots, voice agents, and phone systems. BotiumScript is suited to intent-based bots because it compares replies with predefined text, patterns, intents, and confidence scores, whereas generative agents require scenario-based evaluation that judges whether responses meet criteria despite varied wording and can assess hallucinations, prompt injection, data leakage, and conversational outcomes. The comparison ranks TestMu AI Agent Testing first for documented support across Dialogflow, Amazon Lex, watsonx Assistant, and Rasa, along with chat, voice, phone, video, and image testing; other options include LangWatch Scenario for code-first, phone-capable testing, Coval for simulated and live-call evaluation with human review, Cekura for repository-based hosted runs, Hamming for voice testing and red teaming, Promptfoo for configuration-driven HTTP or WebSocket testing, and DeepEval for pytest-style LLM evaluation. Migrating from Botium generally involves converting scripted conversations into scenarios with user goals, personas, evaluative criteria, deterministic UI assertions, repeated runs, and phone-specific conditions such as noise, interruptions, and keypad inputs.

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