File manager

File manager - Edit - /usr/lib/mysqlsh/lib/python3.9/site-packages/oci/generative_ai_agent/models/rag_tool_config.py

Back
# 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: 20240531 from .tool_config import ToolConfig 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 RagToolConfig(ToolConfig): """ The configuration for RAG Tool. """ def __init__(self, kwargs): """ Initializes a new RagToolConfig object with values from keyword arguments. The default value of the :py:attr:`~oci.generative_ai_agent.models.RagToolConfig.tool_config_type` attribute of this class is ``RAG_TOOL_CONFIG`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param tool_config_type: The value to assign to the tool_config_type property of this RagToolConfig. Allowed values for this property are: "SQL_TOOL_CONFIG", "RAG_TOOL_CONFIG", "FUNCTION_CALLING_TOOL_CONFIG", "HTTP_ENDPOINT_TOOL_CONFIG", "AGENT_TOOL_CONFIG" :type tool_config_type: str :param knowledge_base_configs: The value to assign to the knowledge_base_configs property of this RagToolConfig. :type knowledge_base_configs: list[oci.generative_ai_agent.models.KnowledgeBaseConfig] :param generation_llm_customization: The value to assign to the generation_llm_customization property of this RagToolConfig. :type generation_llm_customization: oci.generative_ai_agent.models.LlmCustomization :param runtime_version: The value to assign to the runtime_version property of this RagToolConfig. :type runtime_version: str :param embedding_llm_customization: The value to assign to the embedding_llm_customization property of this RagToolConfig. :type embedding_llm_customization: oci.generative_ai_agent.models.LlmCustomization :param reranking_llm_customization: The value to assign to the reranking_llm_customization property of this RagToolConfig. :type reranking_llm_customization: oci.generative_ai_agent.models.LlmCustomization :param reasoning_llm_customization: The value to assign to the reasoning_llm_customization property of this RagToolConfig. :type reasoning_llm_customization: oci.generative_ai_agent.models.LlmCustomization """ self.swagger_types = { 'tool_config_type': 'str', 'knowledge_base_configs': 'list[KnowledgeBaseConfig]', 'generation_llm_customization': 'LlmCustomization', 'runtime_version': 'str', 'embedding_llm_customization': 'LlmCustomization', 'reranking_llm_customization': 'LlmCustomization', 'reasoning_llm_customization': 'LlmCustomization' } self.attribute_map = { 'tool_config_type': 'toolConfigType', 'knowledge_base_configs': 'knowledgeBaseConfigs', 'generation_llm_customization': 'generationLlmCustomization', 'runtime_version': 'runtimeVersion', 'embedding_llm_customization': 'embeddingLlmCustomization', 'reranking_llm_customization': 'rerankingLlmCustomization', 'reasoning_llm_customization': 'reasoningLlmCustomization' } self._tool_config_type = None self._knowledge_base_configs = None self._generation_llm_customization = None self._runtime_version = None self._embedding_llm_customization = None self._reranking_llm_customization = None self._reasoning_llm_customization = None self._tool_config_type = 'RAG_TOOL_CONFIG' @property def knowledge_base_configs(self): """ [Required]** Gets the knowledge_base_configs of this RagToolConfig. The KnowledgeBase configurations that this RAG Tool uses :return: The knowledge_base_configs of this RagToolConfig. :rtype: list[oci.generative_ai_agent.models.KnowledgeBaseConfig] """ return self._knowledge_base_configs @knowledge_base_configs.setter def knowledge_base_configs(self, knowledge_base_configs): """ Sets the knowledge_base_configs of this RagToolConfig. The KnowledgeBase configurations that this RAG Tool uses :param knowledge_base_configs: The knowledge_base_configs of this RagToolConfig. :type: list[oci.generative_ai_agent.models.KnowledgeBaseConfig] """ self._knowledge_base_configs = knowledge_base_configs @property def generation_llm_customization(self): """ Gets the generation_llm_customization of this RagToolConfig. :return: The generation_llm_customization of this RagToolConfig. :rtype: oci.generative_ai_agent.models.LlmCustomization """ return self._generation_llm_customization @generation_llm_customization.setter def generation_llm_customization(self, generation_llm_customization): """ Sets the generation_llm_customization of this RagToolConfig. :param generation_llm_customization: The generation_llm_customization of this RagToolConfig. :type: oci.generative_ai_agent.models.LlmCustomization """ self._generation_llm_customization = generation_llm_customization @property def runtime_version(self): """ Gets the runtime_version of this RagToolConfig. The runtimeVersion of the system prompt. :return: The runtime_version of this RagToolConfig. :rtype: str """ return self._runtime_version @runtime_version.setter def runtime_version(self, runtime_version): """ Sets the runtime_version of this RagToolConfig. The runtimeVersion of the system prompt. :param runtime_version: The runtime_version of this RagToolConfig. :type: str """ self._runtime_version = runtime_version @property def embedding_llm_customization(self): """ Gets the embedding_llm_customization of this RagToolConfig. :return: The embedding_llm_customization of this RagToolConfig. :rtype: oci.generative_ai_agent.models.LlmCustomization """ return self._embedding_llm_customization @embedding_llm_customization.setter def embedding_llm_customization(self, embedding_llm_customization): """ Sets the embedding_llm_customization of this RagToolConfig. :param embedding_llm_customization: The embedding_llm_customization of this RagToolConfig. :type: oci.generative_ai_agent.models.LlmCustomization """ self._embedding_llm_customization = embedding_llm_customization @property def reranking_llm_customization(self): """ Gets the reranking_llm_customization of this RagToolConfig. :return: The reranking_llm_customization of this RagToolConfig. :rtype: oci.generative_ai_agent.models.LlmCustomization """ return self._reranking_llm_customization @reranking_llm_customization.setter def reranking_llm_customization(self, reranking_llm_customization): """ Sets the reranking_llm_customization of this RagToolConfig. :param reranking_llm_customization: The reranking_llm_customization of this RagToolConfig. :type: oci.generative_ai_agent.models.LlmCustomization """ self._reranking_llm_customization = reranking_llm_customization @property def reasoning_llm_customization(self): """ Gets the reasoning_llm_customization of this RagToolConfig. :return: The reasoning_llm_customization of this RagToolConfig. :rtype: oci.generative_ai_agent.models.LlmCustomization """ return self._reasoning_llm_customization @reasoning_llm_customization.setter def reasoning_llm_customization(self, reasoning_llm_customization): """ Sets the reasoning_llm_customization of this RagToolConfig. :param reasoning_llm_customization: The reasoning_llm_customization of this RagToolConfig. :type: oci.generative_ai_agent.models.LlmCustomization """ self._reasoning_llm_customization = reasoning_llm_customization 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

| ver. 1.4 | Github | . | PHP 8.2.32 | Generation time: 0.06 | proxy | phpinfo | Settings