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Creating tool definitions and schemas specifically for AI agents from language-specific code.
Distinct from Python Tooling: Distinct from general Python tooling; specifically focuses on generating LLM-compatible tool schemas
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AdalFlow is an autonomous AI agent framework and LLM application library designed for building modular workflows. It serves as a model-agnostic interface and RAG pipeline orchestrator, allowing users to develop ReAct agents that utilize iterative reasoning and external tool execution to solve complex tasks. The project distinguishes itself through a prompt optimization system that uses textual gradient descent to automatically refine prompt templates and few-shot examples. It treats model feedback as a differentiable signal, enabling a form of LLM backpropagation to iteratively improve output
Generates readable tool schemas for LLMs by extracting metadata from Python type hints and docstrings.