ChatTTS is a sophisticated text-to-speech tool that converts written text into realistic spoken dialogue, optimizing performance for conversational applications. It is particularly useful for dialogue tasks in large language model (LLM) environments. The tool stands out for its high-quality speech synthesis and ability to capture emotional nuances, making it an ideal choice for creating engaging voiceovers or enhancing chat interactions. Users simply enter text, select preferences, and ChatTTS generates audio output supporting various languages, ensuring versatility for different user needs.

SmolAgents Dynamic Tools extends the open-source SmolAgents Python framework to empower LLM-based agents with dynamic tool invocation. Agents can seamlessly call a variety of pre-built tools—such as web search via SerpAPI, mathematical calculators, date and time retrieval, file system operations, and custom HTTP request handlers—based on user intent and chain-of-thought prompts. Developers can register additional tools or customize existing ones, enabling agents to handle data retrieval, content creation, computation, and external API integration within a unified interface. By evaluating tool availability at runtime, SmolAgents Dynamic Tools optimizes agent workflows, reducing hard-coded logic and improving modularity across diverse application scenarios like research assistance, automated reporting, and chatbot augmentation.