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Use Cases

Here are some use cases for the flujo library:

  1. Automated Code Generation: Generate code snippets or entire functions based on natural language prompts. The library can use different agents for generating, reviewing, and validating the code.
  2. Text Summarization: Summarize long documents or articles into concise summaries. The reward model scorer can be used to ensure the quality of the summary.
  3. Creative Writing: Generate various forms of creative text like poems, haikus, or limericks. Different agents can be used to control the style and tone of the generated text.
  4. Batch Processing of Prompts: Process multiple prompts from a CSV file and save the results. This is useful for tasks like sentiment analysis or data augmentation.
  5. Custom AI Agent Orchestration: Build custom AI agent workflows by swapping out different agents for specific tasks. For example, using a cheaper model for initial generation and a more powerful model for review and validation.
  6. Task Automation: Automate repetitive tasks that involve natural language understanding and generation. The library's CLI and API make it easy to integrate into existing workflows.
  7. Benchmarking AI Models: Benchmark different AI models or prompts by running them multiple times and comparing the results. The library's telemetry features can be used to track performance metrics.
  8. Educational Tool: Learn about AI agent orchestration and different scoring mechanisms. The library's clear structure and examples make it a good starting point for beginners.