The UOSE system provides not only APIs but also an interactive user-facing workbench. In resource details, the ontology workspace, or Agent Workbench, users can let the ontology assistant carry current context for conversations, analysis, and operations.Documentation Index
Fetch the complete documentation index at: https://docs.xpertai.cn/llms.txt
Use this file to discover all available pages before exploring further.
Resource Chat
Resource chat on the resource details page carries the current resource context:- resourceId.
- resourceType.
- snapshotId.
- graphVersion.
- currently selected entity.
- current graph or search context.
- Which entity types were synced from this resource.
- Why a metric cannot be queried.
- Which actions a SAP Entity Set supports.
- Which fields, primary keys, and foreign keys exist in the current database table.
Ontology Workspace Chat
The assistant in the ontology workspace is for cross-resource semantic operations. It is suitable for:- Comparing snapshot status across resources.
- Finding entities and explaining match methods.
- Analyzing missing graph relationships.
- Guiding users into resource details for troubleshooting.
Agent Workbench
Agent Workbench hosts Assistant execution processes and result display. After UOSE actions execute, they can generate workbench visualization events, such as:- Semantic model query results rendered as trends, tables, or metric summaries.
- OData read results rendered as collection tables or charts.
- Database query results rendered as tables and column descriptions.
Context Passing
In ChatKit or MCP scenarios, identity and context must be passed correctly:- Platform token is used to access UOSE or the MCP server.
- Business user token is used to access resources that require user identity at the source.
- assistantId or assistantCode is used to restrict the resources accessible by that Assistant.
- tenantId and organizationId are used for data isolation.
Recommendations
- In resource details, inspect the graph and attributes before asking the assistant to run analysis.
- Let the assistant follow the standard UOSE process and do not ask it to directly compose backend APIs.
- For high-risk operations, review the simulation result and approval reason first.
- After execution, use audit references or workbench artifacts to review results.
- For cross-resource questions, first locate resources in the ontology workspace, then enter single-resource execution.