Large language models (LLMs) can now interact dynamically with external systems and tools, enabling real-time tasks beyond text generation.
Theta EdgeCloud introduces 'Agentic Tools' for RAG chatbots, enhancing agent-driven AI workflows.
Developers can equip chatbots with capabilities like web search, code execution, and document manipulation for intelligent and goal-directed assistants.
This feature supports user-defined Custom Tools and includes built-in tools like Web Search and Text-to-SQL.
Developers can configure custom tools to access external resources via GET, POST, and PUT requests.
An example provided shows the chatbot accessing BlueSky's API to find trending topics and providing links for each topic.
The 'Web Search' tool enables chatbots to search the internet for information, while 'Text-to-SQL' converts natural language questions into SQL queries.
Agentic Tools pave the way for Model Context Protocol (MCP), aiming to standardize AI model access to external tools and services securely.
MCP could be integrated into the Theta EdgeCloud platform, potentially creating an MCP marketplace for users to deploy servers and earn tokens.
These advancements empower developers to create more dynamic, context-aware AI agents with enhanced capabilities for various tasks and interactions.