graph LR
CodebaseIndexWorkflow["CodebaseIndexWorkflow"]
CodeIndexer["CodeIndexer"]
CodeReferenceIndexer["CodeReferenceIndexer"]
CodebaseIndexWorkflow -- "orchestrates and manages" --> CodeIndexer
CodeIndexer -- "generates indexed data for" --> CodeReferenceIndexer
CodeReferenceIndexer -- "queries and consumes indexed data from" --> CodeIndexer
The Codebase Intelligence Agents subsystem is responsible for processing codebases to create a comprehensive index of file structures, content, and inter-file relationships. It also provides the functionality to search and retrieve relevant code references from this index, supporting Retrieval-Augmented Generation (RAG) within the larger multi-agent system.
This component acts as the orchestrator for the entire codebase indexing process. It manages the configuration, defines the target structure for indexing, and initiates the CodeIndexer to perform the analysis and index generation. It ensures the codebase is processed according to a defined plan, making it a critical control flow component within the multi-agent architecture.
Related Classes/Methods:
This component performs the deep analysis of a given code repository. Its responsibilities include processing individual files, generating a file tree, analyzing file content (potentially using an LLM for summarization and entity extraction), identifying inter-file relationships, and compiling a comprehensive index of the codebase. It supports both sequential and concurrent file processing for efficiency.
Related Classes/Methods:
This component provides search and retrieval capabilities over the indexes created by the CodeIndexer. It allows for querying specific code references, finding relevant code snippets, and identifying direct relationships between code elements based on user queries. This component is crucial for supporting Retrieval-Augmented Generation (RAG) by providing contextually relevant code information to other agents.
Related Classes/Methods: