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# coding: utf-8 # Copyright (c) 2016, 2026, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20231130 from .message import Message from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class AssistantMessage(Message): """ Represents a single instance of assistant message. Note: When responding to a tool call, set `content` to `null` (not `\"\"`). This ensures the model correctly processes tool call messages in multi-step interactions. """ def __init__(self, **kwargs): """ Initializes a new AssistantMessage object with values from keyword arguments. The default value of the :py:attr:`~oci.generative_ai_inference.models.AssistantMessage.role` attribute of this class is ``ASSISTANT`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param role: The value to assign to the role property of this AssistantMessage. Allowed values for this property are: "SYSTEM", "ASSISTANT", "USER", "TOOL", "DEVELOPER" :type role: str :param content: The value to assign to the content property of this AssistantMessage. :type content: list[oci.generative_ai_inference.models.ChatContent] :param name: The value to assign to the name property of this AssistantMessage. :type name: str :param refusal: The value to assign to the refusal property of this AssistantMessage. :type refusal: str :param tool_calls: The value to assign to the tool_calls property of this AssistantMessage. :type tool_calls: list[oci.generative_ai_inference.models.ToolCall] :param annotations: The value to assign to the annotations property of this AssistantMessage. :type annotations: list[oci.generative_ai_inference.models.Annotation] :param reasoning_content: The value to assign to the reasoning_content property of this AssistantMessage. :type reasoning_content: str """ self.swagger_types = { 'role': 'str', 'content': 'list[ChatContent]', 'name': 'str', 'refusal': 'str', 'tool_calls': 'list[ToolCall]', 'annotations': 'list[Annotation]', 'reasoning_content': 'str' } self.attribute_map = { 'role': 'role', 'content': 'content', 'name': 'name', 'refusal': 'refusal', 'tool_calls': 'toolCalls', 'annotations': 'annotations', 'reasoning_content': 'reasoningContent' } self._role = None self._content = None self._name = None self._refusal = None self._tool_calls = None self._annotations = None self._reasoning_content = None self._role = 'ASSISTANT' @property def name(self): """ Gets the name of this AssistantMessage. An optional name for the participant. Provides the model information to differentiate between participants of the same role. :return: The name of this AssistantMessage. :rtype: str """ return self._name @name.setter def name(self, name): """ Sets the name of this AssistantMessage. An optional name for the participant. Provides the model information to differentiate between participants of the same role. :param name: The name of this AssistantMessage. :type: str """ self._name = name @property def refusal(self): """ Gets the refusal of this AssistantMessage. The refusal message by the assistant. :return: The refusal of this AssistantMessage. :rtype: str """ return self._refusal @refusal.setter def refusal(self, refusal): """ Sets the refusal of this AssistantMessage. The refusal message by the assistant. :param refusal: The refusal of this AssistantMessage. :type: str """ self._refusal = refusal @property def tool_calls(self): """ Gets the tool_calls of this AssistantMessage. The tool calls generated by the model, such as function calls. :return: The tool_calls of this AssistantMessage. :rtype: list[oci.generative_ai_inference.models.ToolCall] """ return self._tool_calls @tool_calls.setter def tool_calls(self, tool_calls): """ Sets the tool_calls of this AssistantMessage. The tool calls generated by the model, such as function calls. :param tool_calls: The tool_calls of this AssistantMessage. :type: list[oci.generative_ai_inference.models.ToolCall] """ self._tool_calls = tool_calls @property def annotations(self): """ Gets the annotations of this AssistantMessage. List of annotations generated by the model, including inline citations from web search results. :return: The annotations of this AssistantMessage. :rtype: list[oci.generative_ai_inference.models.Annotation] """ return self._annotations @annotations.setter def annotations(self, annotations): """ Sets the annotations of this AssistantMessage. List of annotations generated by the model, including inline citations from web search results. :param annotations: The annotations of this AssistantMessage. :type: list[oci.generative_ai_inference.models.Annotation] """ self._annotations = annotations @property def reasoning_content(self): """ Gets the reasoning_content of this AssistantMessage. Internal reasoning trace generated during response computation. :return: The reasoning_content of this AssistantMessage. :rtype: str """ return self._reasoning_content @reasoning_content.setter def reasoning_content(self, reasoning_content): """ Sets the reasoning_content of this AssistantMessage. Internal reasoning trace generated during response computation. :param reasoning_content: The reasoning_content of this AssistantMessage. :type: str """ self._reasoning_content = reasoning_content def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other
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