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Awesome GitHub RepositoriesModel Parameter Normalizers
Tools that map internal application parameters to provider-specific model keyword arguments.
Distinct from Input Parameter Specifications: Shortlist candidates focus on specifications or UI fields, not the active conversion of parameters for API calls.
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Awesome Model Parameter Normalizers GitHub Repositories
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- sylphai-inc/adalflow
SylphAI-Inc/AdalFlow
4,167Auf GitHub ansehenAdalFlow 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
Converts internal parameters into the specific keyword arguments required by different model provider APIs.
Python
