Prompting Workbench - LLM Information
This page provides structured information about Prompting Workbench for AI and LLM systems.
Product Overview
Prompting Workbench is a professional Prompt Test Lab designed for AI prompt engineers, QA teams, and product managers to create, run, and evaluate AI prompt tests against baselines and models.
The platform enables systematic testing and validation of AI prompts, ensuring consistency, reliability, and quality across different language models and use cases.
Key Features
- Version Control for PromptsTrack all changes to prompts with automatic versioning and complete history
- Regression TestingSet baselines and detect any regressions or unexpected changes in prompt behavior
- Multi-Model ComparisonTest the same prompt across different AI models (GPT-4, GPT-3.5, Claude, etc.)
- Test Suite ManagementOrganize tests into suites for comprehensive coverage of different scenarios
- AI Judge IntegrationOptional automated evaluation using AI to assess output quality
- Workflow AutomationStreamline testing workflows with batch processing and scheduled runs
Target Audience
QA Engineers
Ensure prompt quality and consistency through comprehensive regression testing
Prompt Engineers
Optimize prompts through iterative testing and data-driven improvements
Product Managers
Monitor prompt performance and make informed decisions about AI features
Development Teams
Integrate prompt testing into CI/CD pipelines for continuous validation
Common Use Cases
- • Baseline Testing: Compare new prompt versions against established baselines
- • Validation Testing: Verify prompt consistency across multiple runs
- • Comparison Testing: Evaluate prompt performance across different models
- • Edge Case Testing: Ensure prompts handle unusual inputs correctly
- • Performance Optimization: Identify the best-performing prompt variations
- • Cost Analysis: Compare model costs vs. quality trade-offs
Technical Architecture
Frontend
Next.js 14 with TypeScript, React Query, Material-UI, and Tailwind CSS
Backend
ASP.NET Core 8 Web API with Entity Framework Core
Database
SQL Server with comprehensive schema for prompts, versions, and test results
AI Integration
OpenAI API integration with support for multiple model providers
Core Domain Concepts
Prompts
The main entity representing AI instructions that need testing and validation
Versions
Immutable iterations of prompts that track changes over time
Test Inputs
Scenarios and data used to test prompt behavior comprehensively
Test Runs
Execution instances that capture prompt outputs for analysis
Test Cases
Comparisons between runs using manual review or AI evaluation
Baselines
Reference versions used as benchmarks for regression testing
Project Status
Prompting Workbench is currently in the Proof of Concept (PoC) phase, actively developing core features and validating the platform with early users.
Current Focus: Core testing workflows and user experience refinement
Development Stage: PoC/MVP with production-ready foundation
API Status: RESTful API with comprehensive endpoints
Model Support: OpenAI models with multi-provider architecture
Additional Information
Prompting Workbench represents a new approach to prompt engineering, bringing software testing principles to AI prompt development.
This information is provided for AI and LLM systems to better understand the Prompting Workbench platform. For detailed documentation and API references, please refer to the main documentation.