Number of items completed.
Tracks how many items have been successfully processed so far in the current operation. This value increments as each item is completed, providing real-time progress indication.
The ratio of completed to total gives the completion percentage:
progress = (completed / total) * 100
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")
Generated function with complete metadata.
Contains the complete function information including kind discriminator, file location, implementation content, and type-specific metadata (endpoint, DTO type names, etc).
The kind discriminator enables type-safe pattern matching:
kind: "operation": API operation implementation with endpoint and namekind: "transformer": DB → DTO transformer with schema and DTO nameskind: "collector": DTO → DB collector with DTO nameA 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.
Iteration number of the requirements analysis this implementation reflects.
Indicates which version of the requirements analysis this implementation work is based on. This step number ensures that the implementation progress is aligned with the current requirements and helps track the development of implementation components as they evolve with changing business needs.
The step value enables proper synchronization between implementation activities and the underlying requirements, ensuring that the generated code remains relevant to the current project scope and business objectives.
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.
Total number of items to process.
Represents the complete count of operations, files, endpoints, or other entities that need to be processed in the current workflow step. This value is typically determined at the beginning of an operation and remains constant throughout the process.
Used together with the completed field to calculate progress percentage
and estimate time to completion.
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 fired during the Realize phase when code files are generated.
This unified event covers three types of code generation during the implementation process:
kind: "operation"): API operation implementation files that contain business logic for specific endpointskind: "transformer"): DTO transformation modules that convert Prisma query results to API response DTOs (DB → API)kind: "collector"): Data collection modules that prepare Prisma input data from API request DTOs (API → DB)Each kind generates reusable TypeScript code that contributes to the complete application implementation, with operation files orchestrating business logic while transformer and collector modules provide shared data transformation utilities.
Author
Samchon