Class: OCI::GenerativeAiAgent::Models::RagToolConfig
- Inherits:
-
ToolConfig
- Object
- ToolConfig
- OCI::GenerativeAiAgent::Models::RagToolConfig
- Defined in:
- lib/oci/generative_ai_agent/models/rag_tool_config.rb
Overview
The configuration for RAG Tool.
Constant Summary
Constants inherited from ToolConfig
ToolConfig::TOOL_CONFIG_TYPE_ENUM
Instance Attribute Summary collapse
- #embedding_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
- #generation_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
-
#knowledge_base_configs ⇒ Array<OCI::GenerativeAiAgent::Models::KnowledgeBaseConfig>
[Required] The KnowledgeBase configurations that this RAG Tool uses.
- #reasoning_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
- #reranking_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
-
#runtime_version ⇒ String
The runtimeVersion of the system prompt.
Attributes inherited from ToolConfig
Class Method Summary collapse
-
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
-
.swagger_types ⇒ Object
Attribute type mapping.
Instance Method Summary collapse
-
#==(other) ⇒ Object
Checks equality by comparing each attribute.
-
#build_from_hash(attributes) ⇒ Object
Builds the object from hash.
- #eql?(other) ⇒ Boolean
-
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
-
#initialize(attributes = {}) ⇒ RagToolConfig
constructor
Initializes the object.
-
#to_hash ⇒ Hash
Returns the object in the form of hash.
-
#to_s ⇒ String
Returns the string representation of the object.
Methods inherited from ToolConfig
Constructor Details
#initialize(attributes = {}) ⇒ RagToolConfig
Initializes the object
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 75 def initialize(attributes = {}) return unless attributes.is_a?(Hash) attributes['toolConfigType'] = 'RAG_TOOL_CONFIG' super(attributes) # convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| h[k.to_sym] = v } self.knowledge_base_configs = attributes[:'knowledgeBaseConfigs'] if attributes[:'knowledgeBaseConfigs'] raise 'You cannot provide both :knowledgeBaseConfigs and :knowledge_base_configs' if attributes.key?(:'knowledgeBaseConfigs') && attributes.key?(:'knowledge_base_configs') self.knowledge_base_configs = attributes[:'knowledge_base_configs'] if attributes[:'knowledge_base_configs'] self.generation_llm_customization = attributes[:'generationLlmCustomization'] if attributes[:'generationLlmCustomization'] raise 'You cannot provide both :generationLlmCustomization and :generation_llm_customization' if attributes.key?(:'generationLlmCustomization') && attributes.key?(:'generation_llm_customization') self.generation_llm_customization = attributes[:'generation_llm_customization'] if attributes[:'generation_llm_customization'] self.runtime_version = attributes[:'runtimeVersion'] if attributes[:'runtimeVersion'] raise 'You cannot provide both :runtimeVersion and :runtime_version' if attributes.key?(:'runtimeVersion') && attributes.key?(:'runtime_version') self.runtime_version = attributes[:'runtime_version'] if attributes[:'runtime_version'] self. = attributes[:'embeddingLlmCustomization'] if attributes[:'embeddingLlmCustomization'] raise 'You cannot provide both :embeddingLlmCustomization and :embedding_llm_customization' if attributes.key?(:'embeddingLlmCustomization') && attributes.key?(:'embedding_llm_customization') self. = attributes[:'embedding_llm_customization'] if attributes[:'embedding_llm_customization'] self.reranking_llm_customization = attributes[:'rerankingLlmCustomization'] if attributes[:'rerankingLlmCustomization'] raise 'You cannot provide both :rerankingLlmCustomization and :reranking_llm_customization' if attributes.key?(:'rerankingLlmCustomization') && attributes.key?(:'reranking_llm_customization') self.reranking_llm_customization = attributes[:'reranking_llm_customization'] if attributes[:'reranking_llm_customization'] self.reasoning_llm_customization = attributes[:'reasoningLlmCustomization'] if attributes[:'reasoningLlmCustomization'] raise 'You cannot provide both :reasoningLlmCustomization and :reasoning_llm_customization' if attributes.key?(:'reasoningLlmCustomization') && attributes.key?(:'reasoning_llm_customization') self.reasoning_llm_customization = attributes[:'reasoning_llm_customization'] if attributes[:'reasoning_llm_customization'] end |
Instance Attribute Details
#embedding_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 25 def @embedding_llm_customization end |
#generation_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 18 def generation_llm_customization @generation_llm_customization end |
#knowledge_base_configs ⇒ Array<OCI::GenerativeAiAgent::Models::KnowledgeBaseConfig>
[Required] The KnowledgeBase configurations that this RAG Tool uses
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 15 def knowledge_base_configs @knowledge_base_configs end |
#reasoning_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 31 def reasoning_llm_customization @reasoning_llm_customization end |
#reranking_llm_customization ⇒ OCI::GenerativeAiAgent::Models::LlmCustomization
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 28 def reranking_llm_customization @reranking_llm_customization end |
#runtime_version ⇒ String
The runtimeVersion of the system prompt.
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 22 def runtime_version @runtime_version end |
Class Method Details
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 34 def self.attribute_map { # rubocop:disable Style/SymbolLiteral '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' # rubocop:enable Style/SymbolLiteral } end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 49 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'tool_config_type': :'String', 'knowledge_base_configs': :'Array<OCI::GenerativeAiAgent::Models::KnowledgeBaseConfig>', 'generation_llm_customization': :'OCI::GenerativeAiAgent::Models::LlmCustomization', 'runtime_version': :'String', 'embedding_llm_customization': :'OCI::GenerativeAiAgent::Models::LlmCustomization', 'reranking_llm_customization': :'OCI::GenerativeAiAgent::Models::LlmCustomization', 'reasoning_llm_customization': :'OCI::GenerativeAiAgent::Models::LlmCustomization' # rubocop:enable Style/SymbolLiteral } end |
Instance Method Details
#==(other) ⇒ Object
Checks equality by comparing each attribute.
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 129 def ==(other) return true if equal?(other) self.class == other.class && tool_config_type == other.tool_config_type && knowledge_base_configs == other.knowledge_base_configs && generation_llm_customization == other.generation_llm_customization && runtime_version == other.runtime_version && == other. && reranking_llm_customization == other.reranking_llm_customization && reasoning_llm_customization == other.reasoning_llm_customization end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 165 def build_from_hash(attributes) return nil unless attributes.is_a?(Hash) self.class.swagger_types.each_pair do |key, type| if type =~ /^Array<(.*)>/i # check to ensure the input is an array given that the the attribute # is documented as an array but the input is not if attributes[self.class.attribute_map[key]].is_a?(Array) public_method("#{key}=").call( attributes[self.class.attribute_map[key]] .map { |v| OCI::Internal::Util.convert_to_type(Regexp.last_match(1), v) } ) end elsif !attributes[self.class.attribute_map[key]].nil? public_method("#{key}=").call( OCI::Internal::Util.convert_to_type(type, attributes[self.class.attribute_map[key]]) ) end # or else data not found in attributes(hash), not an issue as the data can be optional end self end |
#eql?(other) ⇒ Boolean
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 145 def eql?(other) self == other end |
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 154 def hash [tool_config_type, knowledge_base_configs, generation_llm_customization, runtime_version, , reranking_llm_customization, reasoning_llm_customization].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 198 def to_hash hash = {} self.class.attribute_map.each_pair do |attr, param| value = public_method(attr).call next if value.nil? && !instance_variable_defined?("@#{attr}") hash[param] = _to_hash(value) end hash end |
#to_s ⇒ String
Returns the string representation of the object
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# File 'lib/oci/generative_ai_agent/models/rag_tool_config.rb', line 192 def to_s to_hash.to_s end |