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77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import List
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from typing import Optional
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from google.genai import types
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from typing_extensions import override
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from ..agents.callback_context import CallbackContext
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from ..agents.readonly_context import ReadonlyContext
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from ..models.llm_request import LlmRequest
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from .base_planner import BasePlanner
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class BuiltInPlanner(BasePlanner):
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"""The built-in planner that uses model's built-in thinking features.
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Attributes:
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thinking_config: Config for model built-in thinking features. An error
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will be returned if this field is set for models that don't support
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thinking.
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"""
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thinking_config: types.ThinkingConfig
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"""
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Config for model built-in thinking features. An error will be returned if this
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field is set for models that don't support thinking.
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"""
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def __init__(self, *, thinking_config: types.ThinkingConfig):
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"""Initializes the built-in planner.
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Args:
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thinking_config: Config for model built-in thinking features. An error
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will be returned if this field is set for models that don't support
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thinking.
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"""
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self.thinking_config = thinking_config
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def apply_thinking_config(self, llm_request: LlmRequest) -> None:
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"""Applies the thinking config to the LLM request.
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Args:
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llm_request: The LLM request to apply the thinking config to.
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"""
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if self.thinking_config:
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llm_request.config = llm_request.config or types.GenerateContentConfig()
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llm_request.config.thinking_config = self.thinking_config
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@override
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def build_planning_instruction(
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self,
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readonly_context: ReadonlyContext,
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llm_request: LlmRequest,
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) -> Optional[str]:
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return
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@override
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def process_planning_response(
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self,
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callback_context: CallbackContext,
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response_parts: List[types.Part],
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) -> Optional[List[types.Part]]:
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return
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