Generative AI Agents
Generative AI Agents is a fully managed service that combines the power of large language models (LLMs) with AI technologies to create intelligent virtual agents that provide personalized, context-aware, and highly engaging customer experiences. This subject area enables tracking Generative AI Agents endpoints and data ingestion jobs.
Business Questions
The subject area can answer the following business questions:
- How has the number of Generative AI Agents endpoints changed over time (daily, weekly, monthly)?
- How has the number of Generative AI Agents data ingestion jobs changed over time (daily, weekly, monthly)?
- How many active Generative AI Agents data ingestion jobs exist today?
- What are the statistics of Generative AI Agents data ingestion jobs?
Logical Model
The Generative AI Agents subject area is based on a relationship-driven logical model.
These diagrams show how the Generative AI Agents endpoint and data ingestion job fact tables are related to their dimension tables:


Metric Details
| Area | Metric | Description |
|---|---|---|
| Generative AI Agent - Agent Details | Agent Endpoint Count | COUNT(ocira_fact_key) from the fact view's ocira_fact_key (maps to ocira$fact_key) |
| Generative AI Agent - Data Ingestion Details | Data Ingestion Job Count | COUNT(ocira_fact_key) from the fact view's ocira_fact_key (maps to ocira$fact_key) |
| Generative AI Agent - Data Ingestion Details | Data Ingestion Job Statistics Duration In Seconds | Provides the duration of the ingestion job |
| Generative AI Agent - Data Ingestion Details | Data Ingestion Job Statistics Number Of Failed Files | Provides the number of files that have failed during the ingestion |
| Generative AI Agent - Data Ingestion Details | Data Ingestion Job Statistics Number Of Ignored Files | Provides the number of files that have been ignored during the ingestion |
| Generative AI Agent - Data Ingestion Details | Data Ingestion Job Statistics Number Of Ingested Files | Provides the number of files that have been successfully ingested during the ingestion |