接入MCP后，火山引擎更新Agent生态建设“工具包”

Core Insights - ByteDance's Volcano Engine has introduced tools for building intelligent agents, showcasing new video generation models and a comprehensive data agent for enterprises, indicating a strategic move into the Agent ecosystem [2][3] - The current domestic public cloud market is characterized by competition among major cloud service providers in building the Agent ecosystem, rather than a fully developed market [2] - The development of intelligent agents is expected to evolve significantly post-2025, with enhanced decision-making capabilities as foundational models improve [2] Group 1: Data Challenges and Solutions - Volcano Engine's Data Agent addresses three key challenges: data interconnectivity, tool integration, and human interaction, facilitating better data processing and business decision-making for enterprises [3] - The Data Agent utilizes a large model-driven semantic parsing engine to automatically identify critical semantic tags in business personnel's requests, enhancing operational efficiency [3] - The transition from basic to advanced applications in the Agent ecosystem is fraught with challenges, including the inherent uncertainties and instabilities of large models [3] Group 2: Ecosystem Development and Competition - The self-developed models of cloud service platforms are crucial for building the Agent ecosystem, providing intelligent cores that lower costs and promote ecosystem integration [4] - Volcano Engine has released several upgraded models, including Seedance 1.0 lite and the enhanced Doubao 1.5 visual deep thinking model, expanding its model matrix and tools for intelligent agents [4] - The competition in the Agent ecosystem is largely between major companies, with developers needing to choose platforms backed by large ecosystems to access a rich array of plugins and tools [4]