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agent_optimizer.py
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49 lines (41 loc) · 1.6 KB
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
from abc import ABC
from abc import abstractmethod
from typing import Generic
from ..agents.llm_agent import Agent
from .data_types import AgentWithScoresT
from .data_types import OptimizerResult
from .data_types import SamplingResultT
from .sampler import Sampler
class AgentOptimizer(ABC, Generic[SamplingResultT, AgentWithScoresT]):
"""Base class for agent optimizers."""
@abstractmethod
async def optimize(
self,
initial_agent: Agent,
sampler: Sampler[SamplingResultT],
) -> OptimizerResult[AgentWithScoresT]:
"""Runs the optimizer.
Args:
initial_agent: The initial agent to be optimized.
sampler: The interface used to get training and validation example UIDs,
request agent evaluations, and get useful data for optimizing the agent.
Returns:
The final result of the optimization process, containing the optimized
agent instances along with their corresponding scores on the validation
examples and any optimization metadata.
"""
...