Python agent framework for LLM integration
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GeneralAgent is a Python-native agent framework designed to seamlessly integrate Large Language Models (LLMs) with Python capabilities. It empowers users to build sophisticated agents for complex business processes, enabling tool invocation via Python code interpretation rather than LLM function calls, robust serialization for state persistence, and efficient task execution through self-calling and stack memory to minimize LLM interactions.
How It Works
The framework's core innovation lies in its Python code interpreter, which allows agents to directly call tools and execute Python code, bypassing the limitations of LLM-native function calling. This approach enhances reliability and flexibility. GeneralAgent also features a unique "self-call" mechanism and "stack memory" to reduce LLM token usage by intelligently managing task decomposition and execution, making it efficient for complex, multi-step operations.
Quick Start & Requirements
pip install GeneralAgent
.env
file or directly in code.Highlighted Details
skills.llm_inference
or using OpenAI SDK compatibility.Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
SERPER_API_KEY
and installing selenium
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