What is Promptic
Promptic is a lightweight LLM application development framework that provides an efficient and Pythonic development approach. Built on LiteLLM, Promptic allows developers to easily switch between different LLM service providers by changing just one line of code. Promptic supports streaming responses, built-in conversation memory, error handling and retries, and extensible state management. It helps developers focus on building features rather than underlying complexity. Promptic's flexibility and ease of use make it a powerful assistant in the field of LLM development.
Promptic's main features
- Type-safe output: Use Pydantic models to ensure that the data structure returned by the LLM meets expectations, improving code robustness.
- Agent building: Create tool functions that can be called by the LLM to achieve complex task decomposition.
- Streaming support: Supports real-time response generation, suitable for long content or interactive application scenarios.
- Built-in conversation memory: Supports the LLM in maintaining context across multiple interactions, enhancing the user experience.
- Error handling and retries: Provides error handling mechanisms and automatic retry functionality, enhancing application stability and reliability.
Promptic's technical principles
- LiteLLM integration: Built on LiteLLM, LiteLLM is a lightweight LLM client library that abstracts the APIs of different LLM providers.
- Decorator pattern: Use Python decorators to extend function functionality, such as
@llmand@llm.tool, adding new behavior without modifying the function's internal code. - Dynamic prompt generation: Dynamically combine the function's docstring with actual parameters to generate a prompt, which is sent to the LLM for processing.
- Response validation: Validate the LLM's response based on Pydantic models to ensure data correctness and completeness.
- State management: Based on the
Stateclass to implement conversation state management, supporting conversation memory functionality and allowing developers to customize storage solutions.
Promptic's project address
- Project official website：pypi.org/project/promptic
- GitHub repository：https://github.com/knowsuchagency/promptic
Promptic's application scenarios
- Chatbots: Build intelligent chatbots that engage in natural language conversations with users, providing customer service or information queries.
- Content generation: Automatically generate articles, stories, poems, or other creative writing content.
- Language translation: Implement real-time language translation services to help users overcome language barriers.
- Sentiment analysis: Analyze the sentiment tendencies of customer feedback, reviews, or social media posts to improve customer service and product development.
- Data summarization: Generate brief summaries for long articles or reports, saving users' reading time.