This document outlines a set of tools that could enhance the functionality of BBai, improving both the AI assistant's capabilities and the user experience. Each tool is described with its potential implementation within the BBai framework.
Purpose: Provide detailed explanations of code snippets or entire files.
Implementation:
- Extend the
LLMTool
class to createCodeExplanationTool
. - Use the existing file reading utilities to access the specified file or code snippet.
- Leverage the LLM's natural language processing capabilities to generate explanations.
- Implement context-aware explanations by providing surrounding code or project structure information to the LLM.
Potential Enhancements:
- Integrate with a code parsing library to provide more structured input to the LLM.
- Implement caching of explanations for frequently accessed code sections.
Purpose: Analyze and list dependencies for a given file or module.
Implementation:
- Create a
DependencyAnalyzerTool
class. - Use Deno's module resolution algorithm to trace dependencies.
- Implement recursive analysis for nested dependencies.
- Distinguish between internal project dependencies and external libraries.
Potential Enhancements:
- Visualize dependency trees using ASCII art or by generating graph images.
- Identify and flag circular dependencies.
Purpose: Suggest improvements for code quality, readability, and performance.
Implementation:
- Develop a
CodeRefactoringTool
class. - Integrate with existing code analysis libraries or implement custom heuristics.
- Use the LLM to generate natural language suggestions based on the analysis.
- Implement the ability to apply suggested changes automatically (with user confirmation).
Potential Enhancements:
- Learn from user feedback to improve suggestion quality over time.
- Provide before/after comparisons for suggested changes.
Purpose: Automatically generate OpenAPI/Swagger documentation for API endpoints.
Implementation:
- Create an
APIDocGeneratorTool
class. - Parse TypeScript files to extract route definitions and type information.
- Generate OpenAPI-compliant JSON or YAML output.
- Integrate with existing JSDoc comments for additional context.
Potential Enhancements:
- Implement live preview of generated documentation.
- Automate the process of keeping documentation in sync with code changes.
Purpose: Analyze and report on test coverage for the project.
Implementation:
- Develop a
TestCoverageAnalyzerTool
class. - Integrate with Deno's built-in coverage tools or third-party coverage libraries.
- Generate reports highlighting areas with insufficient test coverage.
- Provide suggestions for improving test coverage based on analysis.
Potential Enhancements:
- Integrate with CI/CD pipelines to track coverage trends over time.
- Implement code generation for missing test cases.
Purpose: Generate visual representations of the project structure.
Implementation:
- Create a
ProjectVisualizerTool
class. - Traverse the project directory to build a tree structure.
- Generate ASCII art or integrate with a graphing library to create visual output.
- Implement filtering options to focus on specific parts of the project.
Potential Enhancements:
- Add interactive elements to the visualization (if outputting to a GUI).
- Include module dependency information in the visualization.
Purpose: Generate TypeScript type definitions based on code analysis.
Implementation:
- Develop a
TypeDefinitionGeneratorTool
class. - Use TypeScript's compiler API to analyze code and infer types.
- Generate .d.ts files or inline type definitions.
- Implement merging of generated types with existing type definitions.
Potential Enhancements:
- Provide suggestions for improving type safety based on the analysis.
- Implement automatic type inference for untyped JavaScript code.
Purpose: Analyze code for style inconsistencies and suggest improvements.
Implementation:
- Create a
CodeStyleCheckerTool
class. - Integrate with existing linting tools (e.g., ESLint) or implement custom style rules.
- Generate reports highlighting style violations and suggested fixes.
- Implement automatic fixing of simple style issues.
Potential Enhancements:
- Allow customization of style rules through configuration files.
- Implement project-wide style consistency checks.
Purpose: Analyze code performance and suggest optimizations.
Implementation:
- Develop a
PerformanceProfilerTool
class. - Integrate with Deno's performance APIs or third-party profiling tools.
- Implement code instrumentation for detailed performance analysis.
- Use the LLM to generate optimization suggestions based on profiling results.
Potential Enhancements:
- Implement automatic benchmarking of suggested optimizations.
- Provide visual representations of performance bottlenecks.
Purpose: Automatically generate changelogs based on Git history.
Implementation:
- Create a
ChangelogGeneratorTool
class. - Use Deno's file system API to interact with Git repositories.
- Parse commit messages and tags to generate structured changelog entries.
- Implement customizable templates for changelog formatting.
Potential Enhancements:
- Integrate with issue tracking systems to include issue references.
- Implement semantic versioning helpers based on changelog content.
Purpose: Validate and manage environment variables for the project.
Implementation:
- Develop an
EnvValidatorTool
class. - Scan the project for references to environment variables.
- Check the current environment against the required variables.
- Generate reports on missing or potentially unused environment variables.
Potential Enhancements:
- Implement automatic generation of .env.example files.
- Provide suggestions for secure handling of sensitive environment variables.
Purpose: Check for outdated dependencies and suggest updates.
Implementation:
- Create a
DependencyUpdateCheckerTool
class. - Parse package.json or equivalent dependency management files.
- Query package registries for latest versions of dependencies.
- Generate reports on outdated packages and suggested updates.
Potential Enhancements:
- Implement automatic update testing in isolated environments.
- Provide changelog summaries for suggested updates.
-
Narrative Structure Analyzer:
- Analyzes story structure, identifying key elements like introduction, rising action, climax, etc.
- Suggests improvements for pacing and narrative flow.
-
Character Development Assistant:
- Tracks character appearances, dialogue, and development throughout a story.
- Suggests areas for further character development or highlights inconsistencies.
-
Research Paper Outliner:
- Organizes research notes into a coherent outline for academic papers.
- Suggests potential gaps in research based on the current structure.
-
Citation Generator and Manager:
- Automatically formats citations in various styles (APA, MLA, Chicago, etc.).
- Tracks sources and suggests relevant ones from a project's research database.
-
Readability Analyzer:
- Assesses text readability using various metrics (Flesch-Kincaid, SMOG, etc.).
- Suggests simplifications for complex sentences or paragraphs.
-
Thematic Explorer:
- Identifies recurring themes in a body of text.
- Suggests ways to strengthen or diversify thematic elements.
-
Dialogue Enhancement Tool:
- Analyzes dialogue for naturalness and character voice consistency.
- Suggests improvements to make conversations more engaging or authentic.
-
Metaphor and Simile Generator:
- Suggests creative metaphors or similes based on context.
- Helps add more vivid and imaginative language to writing.
-
Historical Context Analyzer:
- Provides relevant historical context for a given time period or event.
- Flags potential anachronisms in historical writing.
-
Emotional Tone Mapper:
- Analyzes emotional tone throughout a piece of writing.
- Visualizes emotional arcs and suggests adjustments for desired impact.
-
Collaborative Writing Coordinator:
- Manages version control for collaborative writing projects.
- Highlights areas of potential conflict or overlap in multi-author works.
-
Worldbuilding Consistency Checker:
- Tracks and verifies consistency in fictional world elements.
- Suggests areas where worldbuilding could be expanded or clarified.
-
Rhyme and Meter Analyzer:
- Analyzes rhyme schemes and metrical structures in poetry.
- Suggests alternatives for maintaining consistent rhythm or rhyme.
-
Fact-Checking Assistant:
- Compares statements against a database of verified facts.
- Flags potential inaccuracies and suggests sources for verification.
-
Bias Detector:
- Analyzes text for potential biases (gender, racial, cultural, etc.).
- Suggests more neutral alternatives or ways to balance perspectives.
-
Interdisciplinary Connection Suggester:
- Suggests connections between the current topic and other fields of study.
- Helps writers draw novel interdisciplinary insights.
Meta tools can manage and coordinate the use of other tools, effectively acting as managers for sub-agents deployed via the ProjectEditor. Here are some meta tools that could enhance BBai's functionality:
-
Workflow Orchestrator:
- Coordinates the execution of multiple tools in a predefined sequence.
- Adapts the workflow based on intermediate results and user preferences.
- Example: For a fiction writing project, it might run the Narrative Structure Analyzer, followed by the Character Development Assistant, then the Dialogue Enhancement Tool.
-
Project Analyzer and Recommender:
- Analyzes the overall project structure and content.
- Recommends relevant tools based on the project type, current state, and user goals.
- Example: For an academic paper, it might suggest using the Research Paper Outliner, Citation Manager, and Readability Analyzer in that order.
-
Iterative Improvement Engine:
- Repeatedly applies relevant tools to incrementally improve the project.
- Uses feedback from each tool run to guide subsequent tool selections.
- Example: It might alternate between the Readability Analyzer and the Thematic Explorer, gradually refining both clarity and depth.
-
Multi-Perspective Reviewer:
- Applies multiple analysis tools (e.g., Bias Detector, Fact-Checker, Readability Analyzer) to provide a comprehensive review.
- Synthesizes results into a cohesive report with prioritized suggestions.
-
Adaptive Learning Coordinator:
- Tracks the effectiveness of different tools and tool combinations over time.
- Adapts tool usage patterns based on user feedback and successful outcomes.
- Suggests new tool combinations or custom tool configurations.
-
Context-Aware Tool Configurator:
- Automatically adjusts tool parameters based on the specific context of the current project or section.
- Ensures that tools are optimally configured for the task at hand.
-
Collaborative Tool Mediator:
- For multi-user projects, coordinates tool usage across different users.
- Manages permissions and merges results from parallel tool executions.
-
Cross-Project Insight Generator:
- Analyzes tool usage and results across multiple projects.
- Identifies patterns and generates insights that can be applied to improve future projects.
Implementing these meta tools would require:
- A flexible plugin architecture for individual tools.
- A robust communication protocol between tools and the meta tool manager.
- An extensible configuration system to define and modify tool workflows.
- Integration with the ProjectEditor to access and modify project content seamlessly.
By implementing these meta tools, BBai could offer more intelligent, context-aware assistance, automating complex workflows and providing users with comprehensive, multi-faceted analysis and improvement suggestions for their projects.
Implementing these tools within the BBai framework would significantly enhance its capabilities, providing users with powerful utilities for code analysis, documentation, and project management. By leveraging BBai's existing infrastructure and the power of AI-assisted development, these tools can offer intelligent, context-aware assistance that goes beyond simple automation.
Each tool can be implemented as a separate class extending the base LLMTool
, allowing for modular development and easy integration into the existing BBai ecosystem. The AI assistant can then leverage these tools to provide more comprehensive and insightful assistance to users, improving the overall development experience and code quality of projects managed with BBai.