KLBase - Allocated Requirements¶
This document outlines the requirements allocated to the KLBase component within the AgentHeaven architecture.
1. Overview¶
KLBase serves as the central integration point for knowledge management and retrieval operations.
2. Allocated Requirements¶
2.1 Functional Requirements¶
ID |
Requirement |
Implementation Details |
Priority |
|---|---|---|---|
FR-10 |
MCP Compatible |
Implements MCP protocol |
High |
FR-18 |
Authentication |
Manages access controls |
Medium |
FR-66 |
Knowledge Integration |
Unifies storage and retrieval operations |
High |
FR-67 |
Router Architecture |
Supports routing between multiple stores and engines |
High |
FR-68 |
Knowledge Workflows |
Executes complex knowledge processing pipelines |
Medium |
FR-69 |
External Integration |
Connects with external knowledge sources |
Medium |
2.2 Non-Functional Requirements¶
ID |
Requirement |
Implementation Details |
Priority |
|---|---|---|---|
NFR-02 |
Extensibility |
Provides plugin interfaces |
High |
NFR-03 |
Security |
Enforces security policies |
High |
NFR-31 |
System Integration |
Ensures seamless component integration |
High |
NFR-32 |
Workflow Reliability |
Provides reliable workflow execution |
High |
NFR-33 |
API Consistency |
Maintains consistent API interfaces |
Medium |
2.3 Cross-Component Dependencies¶
Component |
Description |
|---|---|
KLStore |
For storage operations |
KLEngine |
For retrieval operations |
Agent |
For executing workflows |
3. Implementation Notes¶
[Add implementation notes here]
4. Open Issues¶
[List any open issues or questions]
Further Exploration¶
Tip: For more information about the knowledge base system in AgentHeaven, see:
KLStore - Storage layer for knowledge objects
Base UKF - Base Unified Knowledge Format implementation
Main Guide (Python) - UKF - UKF implementation and usage in Python
Tip: For more information about AgentHeaven architecture, see:
Agent Component - Agent implementation and architecture
LLM Component - LLM integration and interface
Cache System - System caching and experience management