Summary of preliminary data acquired by the agent during RAG.
Contains lightweight identifiers for each kind of preliminary data that was
loaded into the agent's local context before producing its output. Only the
kinds specified by the Kind type parameter are present.
Analysis of all actors' authentication requirements.
Documents the agent's understanding of the authentication needs for all actors:
The completed database component with authorization table designs.
Contains all database tables required for ALL actors' authentication and authorization needs. The component includes for each actor:
users, administrators, guests)user_sessions, administrator_sessions)Timestamp when the event was created.
ISO 8601 formatted date-time string indicating when this event was emitted by the system. This timestamp is crucial for event ordering, performance analysis, and debugging the agent workflow execution timeline.
Format: "YYYY-MM-DDTHH:mm:ss.sssZ" (e.g., "2024-01-15T14:30:45.123Z")
A unique identifier for the event.
Function calling trial statistics for the operation.
Records the complete trial history of function calling attempts, tracking total executions, successful completions, consent requests, validation failures, and invalid JSON responses. These metrics reveal the reliability and quality of AI agent autonomous operation with tool usage.
Trial statistics are critical for identifying operations where agents struggle with tool interfaces, generate invalid outputs, or require multiple correction attempts through self-healing spiral loops. High failure rates indicate opportunities for system prompt optimization or tool interface improvements.
Rationale for the authorization table design decisions.
Explains why the authorization design was made this way, including why certain tables were created, how each actor kind influenced the design, what normalization principles were applied, and how tables support the authentication workflow for all actors.
Iteration number of the requirements analysis this authorization was performed for.
Indicates which version of the requirements analysis this table generation reflects. This step number ensures that the authorization tables are aligned with the current requirements and helps track the evolution of authentication architecture as business requirements change.
Detailed token usage metrics for the operation.
Contains comprehensive token consumption data including total usage, input token breakdown with cache hit rates, and output token categorization by generation type (reasoning, predictions). This component-level tracking enables precise cost analysis and identification of operations that benefit most from prompt caching or require optimization.
Token usage directly translates to operational costs, making this metric essential for understanding the financial implications of different operation types and guiding resource allocation decisions.
Unique identifier for the event type.
A literal string that discriminates between different event types in the AutoBE system. This field enables TypeScript's discriminated union feature, allowing type-safe event handling through switch statements or conditional checks.
Examples: "analyzeWrite", "databaseSchema", "interfaceOperation", "testScenario"
Event emitted when authorization tables are generated for all actors.
This event is dispatched once during the database authorization phase, containing the complete set of authentication and authorization tables for ALL actor types (guest/member/admin) in a single component. This includes main actor tables, session tables, and authentication support tables for every actor defined in the requirements.
Author
Samchon