Expand description
Agent optimization framework — iteratively improve agent prompts.
Mirrors ADK-Python’s optimization module. Provides traits for
sampling evaluation examples and optimizing agent instructions
using LLM-driven prompt rewriting.
Structs§
- Eval
Sample - A sample drawn from the evaluation set for optimization.
- Optimizer
Result - Result of an optimization run.
- Simple
Prompt Optimizer - Simple prompt optimizer that uses an LLM to iteratively rewrite instructions.
- Simple
Prompt Optimizer Config - Configuration for the simple prompt optimizer.
Enums§
- Optimizer
Error - Errors from optimization operations.
Traits§
- Agent
Optimizer - Trait for agent optimizers that iteratively improve agent instructions.
- Sampler
- Trait for sampling evaluation examples during optimization.