prompt-optimizer
一款提示词优化器,助力于编写高质量的提示词
Easily build and package the Prompt-Optimizer desktop application for distribution. Follow simple steps to generate platform-specific installers from the linshenkx/prompt-optimizer repository.
How the Image Model Adapter Registry Manages Multiple Image Generation Services in Prompt-OptimizerLearn how the image model adapter registry in prompt-optimizer unifies Gemini, OpenAI, and other services. Discover centralized error handling and dynamic model discovery.
How Prompt-Optimizer Implements Authentication and Access ControlExplore Prompt-Optimizer's API authentication and access control. Learn how it uses password-based flow, edge middleware, and HttpOnly cookies for secure access.
History Management System in Prompt-Optimizer: Architecture and ImplementationExplore the prompt-optimizer history management system architecture. Discover its three-layer design, API, business logic, and adapter implementation for efficient prompt optimization.
How the Prompt Optimizer Comparison Service Enables Prompt A/B Testing and EvaluationDiscover how the Prompt Optimizer comparison service enables prompt A/B testing. It generates structured diffs and summary statistics to power your evaluation workflow effectively.
How Generated Images Are Stored and Managed Within Prompt-OptimizerDiscover how Prompt-Optimizer stores generated images as base64 blobs in ImageStorageService and uses ImageRef for efficient UI session management. Optimize your image workflow.
How the Preference and Settings Service Manages User Configurations in Prompt OptimizerDiscover how the preference and settings service in prompt optimizer manages user configurations with type-safe abstractions, key validation, automatic migration, and import/export capabilities.
Prompt-Optimizer Testing Strategy: How to Run Unit and E2E TestsDiscover the prompt-optimizer testing strategy using Vitest for unit tests and Playwright for E2E tests. Learn how to run these essential tests efficiently.
How the Model Manager Handles LLM Configuration, Validation, and UpdatesLearn how the Model Manager centralizes LLM configuration, validation, and updates. Discover its atomic storage for robust management in prompt-optimizer.
How to Implement Import and Export Functionality for Prompts and Configurations in Prompt-OptimizerImplement import and export for prompt optimizer. Leverage DataManager to serialize data to JSON and handle file uploads/downloads for efficient prompt and configuration management.
Deploying Prompt-Optimizer Using Docker: Environment Variable Management and Production Best PracticesLearn best practices for deploying prompt-optimizer with Docker. Manage environment variables using `.env` files and Docker secrets for secure, reproducible deployments. Orchestrate with docker-compose.
Troubleshooting Ollama Connection Issues in Prompt-Optimizer: A Complete GuideTroubleshoot Ollama connection issues in prompt-optimizer. Learn to verify the Ollama service, configure CORS, set custom API URLs, and use desktop or Docker builds for smooth integration.
Have a question about this repo?
These articles cover the highlights, but your codebase questions are specific. Give your agent direct access to the source. Share this with your agent to get started:
curl -s "https://instagit.com/install.md" Maintain an open-source project? Get it listed too →