Introduction to Saiku API Reference
Welcome to the Saiku API Reference. This documentation provides a holistic view of Saiku’s architecture, highlighting its core components and functionalities. Saiku is built with modularity and flexibility in mind, enabling robust AI-driven automation and interactions.Overall Architecture
Saiku’s architecture is centered around several key components, each designed to perform specific roles within the system:1. Agent
- Role: The Agent acts as the central coordinator for Saiku, handling user interactions, decision-making, and task execution.
- Documentation: Detailed information about the Agent’s properties and methods can be found in Agent.
2. Language Learning Models (LLMs)
- Purpose: LLMs, such as OpenAI, Google VertexAI, and others, provide natural language processing capabilities, crucial for understanding and generating human-like text.
- Documentation: For specifics on each model, visit the LLMs section under LLMs.
3. Actions
- Functionality: Actions are modular units responsible for executing specific tasks, like file operations, data processing, and more.
- Documentation: Explore the various actions and their usages in Actions.
Navigating the Documentation
This API reference is structured to give you a comprehensive understanding of each component:- In-Depth Information: Each section dives deep into the methods, properties, and functionalities of the respective components.
- Practical Examples: Where applicable, you’ll find practical examples to illustrate how to utilize these components in real-world scenarios.
- Interaction Flow: Gain insights into how these components interact with each other to form the cohesive functionality of Saiku.
We encourage you to explore each section to gain a full understanding of Saiku’s capabilities and how they can be applied to your projects.