Pravko-Solutions/FlashLearn
A Python library providing LLM agent orchestration with fit/predict patterns for ETL pipelines and workflow automation.
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FlashLearn offers a simple interface to incorporate Agent LLMs into typical workflows and ETL pipelines, supporting data transformations, classifications, summarizations, and multi-step tasks. It uses JSON definitions for steps and tasks, making pipelines easy to understand and maintain. The library supports LiteLLM, Ollama, OpenAI, DeepSeek, and all OpenAI-compatible clients, enabling up to 1000 LLM calls per minute with built-in concurrency.
Frequently asked
- What is Pravko-Solutions/FlashLearn?
- A Python library providing LLM agent orchestration with fit/predict patterns for ETL pipelines and workflow automation.
- Is FlashLearn open source?
- Yes — Pravko-Solutions/FlashLearn is open source, released under the MIT license.
- What language is FlashLearn written in?
- Pravko-Solutions/FlashLearn is primarily written in Python.
- How popular is FlashLearn?
- Pravko-Solutions/FlashLearn has 606 stars on GitHub.
- Where can I find FlashLearn?
- Pravko-Solutions/FlashLearn is on GitHub at https://github.com/Pravko-Solutions/FlashLearn.