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Architectural patterns for enabling agents to interact with external tools and services.
Distinguishing note: Focuses on the architectural integration of tools rather than specific tool implementations.
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This framework provides a development toolkit for building autonomous agents that utilize language models to solve complex, non-deterministic tasks. Its core design centers on a code-executing architecture where agents generate and run Python code snippets to perform logic, data manipulation, and tool interactions. By moving beyond structured data formats, the system enables agents to manage program flow and object state through iterative reasoning cycles. The project distinguishes itself through its focus on code-based agent implementation and secure execution environments. Developers can ch
Implements a modular architecture allowing agents to dynamically select and invoke custom functions.