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Systems that enable agents to generate and execute code snippets for task completion.
Distinguishing note: Distinct from standard tool-calling agents by using executable code as the primary interaction medium.
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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
Allows agents to use executable code snippets for improved flexibility and composability in task execution.