mirror of
https://github.com/EvolutionAPI/adk-python.git
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63 lines
1.9 KiB
Python
63 lines
1.9 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 __future__ import annotations
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from typing import TYPE_CHECKING
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from typing import Union
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from pydantic import TypeAdapter
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from typing_extensions import override
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from ..examples import example_util
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from ..examples.base_example_provider import BaseExampleProvider
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from ..examples.example import Example
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from .base_tool import BaseTool
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from .tool_context import ToolContext
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if TYPE_CHECKING:
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from ..models.llm_request import LlmRequest
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class ExampleTool(BaseTool):
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"""A tool that adds (few-shot) examples to the LLM request.
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Attributes:
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examples: The examples to add to the LLM request.
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"""
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def __init__(self, examples: Union[list[Example], BaseExampleProvider]):
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# Name and description are not used because this tool only changes
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# llm_request.
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super().__init__(name='example_tool', description='example tool')
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self.examples = (
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TypeAdapter(list[Example]).validate_python(examples)
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if isinstance(examples, list)
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else examples
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)
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@override
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async def process_llm_request(
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self, *, tool_context: ToolContext, llm_request: LlmRequest
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) -> None:
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parts = tool_context.user_content.parts
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if not parts or not parts[0].text:
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return
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llm_request.append_instructions([
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example_util.build_example_si(
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self.examples, parts[0].text, llm_request.model
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)
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])
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