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Utilities for dynamically adapting database schemas for agent consumption.
Distinguishing note: Focuses on schema exposure for LLMs rather than general SQL query builders.
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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
Updates tool descriptions dynamically to enable agents to perform complex operations like SQL joins.