generativeaiinference

package
v65.63.2 Latest Latest
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 Go to latest Published: Apr 16, 2024 License: Apache-2.0, UPL-1.0 Imports: 7 Imported by: 0

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Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func GetBaseChatRequestApiFormatEnumStringValues added in v65.63.2 

func GetBaseChatRequestApiFormatEnumStringValues() []string

GetBaseChatRequestApiFormatEnumStringValues Enumerates the set of values in String for BaseChatRequestApiFormatEnum

func GetBaseChatResponseApiFormatEnumStringValues added in v65.63.2 

func GetBaseChatResponseApiFormatEnumStringValues() []string

GetBaseChatResponseApiFormatEnumStringValues Enumerates the set of values in String for BaseChatResponseApiFormatEnum

func GetChatContentTypeEnumStringValues added in v65.63.2 

func GetChatContentTypeEnumStringValues() []string

GetChatContentTypeEnumStringValues Enumerates the set of values in String for ChatContentTypeEnum

func GetCohereChatResponseFinishReasonEnumStringValues added in v65.63.2 

func GetCohereChatResponseFinishReasonEnumStringValues() []string

GetCohereChatResponseFinishReasonEnumStringValues Enumerates the set of values in String for CohereChatResponseFinishReasonEnum

func GetCohereLlmInferenceRequestReturnLikelihoodsEnumStringValues 

func GetCohereLlmInferenceRequestReturnLikelihoodsEnumStringValues() []string

GetCohereLlmInferenceRequestReturnLikelihoodsEnumStringValues Enumerates the set of values in String for CohereLlmInferenceRequestReturnLikelihoodsEnum

func GetCohereLlmInferenceRequestTruncateEnumStringValues 

func GetCohereLlmInferenceRequestTruncateEnumStringValues() []string

GetCohereLlmInferenceRequestTruncateEnumStringValues Enumerates the set of values in String for CohereLlmInferenceRequestTruncateEnum

func GetCohereMessageRoleEnumStringValues added in v65.63.2 

func GetCohereMessageRoleEnumStringValues() []string

GetCohereMessageRoleEnumStringValues Enumerates the set of values in String for CohereMessageRoleEnum

func GetEmbedTextDetailsInputTypeEnumStringValues 

func GetEmbedTextDetailsInputTypeEnumStringValues() []string

GetEmbedTextDetailsInputTypeEnumStringValues Enumerates the set of values in String for EmbedTextDetailsInputTypeEnum

func GetEmbedTextDetailsTruncateEnumStringValues 

func GetEmbedTextDetailsTruncateEnumStringValues() []string

GetEmbedTextDetailsTruncateEnumStringValues Enumerates the set of values in String for EmbedTextDetailsTruncateEnum

func GetLlmInferenceRequestRuntimeTypeEnumStringValues 

func GetLlmInferenceRequestRuntimeTypeEnumStringValues() []string

GetLlmInferenceRequestRuntimeTypeEnumStringValues Enumerates the set of values in String for LlmInferenceRequestRuntimeTypeEnum

func GetLlmInferenceResponseRuntimeTypeEnumStringValues 

func GetLlmInferenceResponseRuntimeTypeEnumStringValues() []string

GetLlmInferenceResponseRuntimeTypeEnumStringValues Enumerates the set of values in String for LlmInferenceResponseRuntimeTypeEnum

func GetServingModeServingTypeEnumStringValues 

func GetServingModeServingTypeEnumStringValues() []string

GetServingModeServingTypeEnumStringValues Enumerates the set of values in String for ServingModeServingTypeEnum

func GetSummarizeTextDetailsExtractivenessEnumStringValues 

func GetSummarizeTextDetailsExtractivenessEnumStringValues() []string

GetSummarizeTextDetailsExtractivenessEnumStringValues Enumerates the set of values in String for SummarizeTextDetailsExtractivenessEnum

func GetSummarizeTextDetailsFormatEnumStringValues 

func GetSummarizeTextDetailsFormatEnumStringValues() []string

GetSummarizeTextDetailsFormatEnumStringValues Enumerates the set of values in String for SummarizeTextDetailsFormatEnum

func GetSummarizeTextDetailsLengthEnumStringValues 

func GetSummarizeTextDetailsLengthEnumStringValues() []string

GetSummarizeTextDetailsLengthEnumStringValues Enumerates the set of values in String for SummarizeTextDetailsLengthEnum

Types

type BaseChatRequest added in v65.63.2 

type BaseChatRequest interface {
}

BaseChatRequest Base class for chat inference requests

type BaseChatRequestApiFormatEnum added in v65.63.2 

type BaseChatRequestApiFormatEnum string

BaseChatRequestApiFormatEnum Enum with underlying type: string 

const (
	BaseChatRequestApiFormatCohere  BaseChatRequestApiFormatEnum = "COHERE"
	BaseChatRequestApiFormatGeneric BaseChatRequestApiFormatEnum = "GENERIC"
)

Set of constants representing the allowable values for BaseChatRequestApiFormatEnum

func GetBaseChatRequestApiFormatEnumValues added in v65.63.2 

func GetBaseChatRequestApiFormatEnumValues() []BaseChatRequestApiFormatEnum

GetBaseChatRequestApiFormatEnumValues Enumerates the set of values for BaseChatRequestApiFormatEnum

func GetMappingBaseChatRequestApiFormatEnum added in v65.63.2 

func GetMappingBaseChatRequestApiFormatEnum(val string) (BaseChatRequestApiFormatEnum, bool)

GetMappingBaseChatRequestApiFormatEnum performs case Insensitive comparison on enum value and return the desired enum

type BaseChatResponse added in v65.63.2 

type BaseChatResponse interface {
}

BaseChatResponse Base class for chat inference response

type BaseChatResponseApiFormatEnum added in v65.63.2 

type BaseChatResponseApiFormatEnum string

BaseChatResponseApiFormatEnum Enum with underlying type: string 

const (
	BaseChatResponseApiFormatCohere  BaseChatResponseApiFormatEnum = "COHERE"
	BaseChatResponseApiFormatGeneric BaseChatResponseApiFormatEnum = "GENERIC"
)

Set of constants representing the allowable values for BaseChatResponseApiFormatEnum

func GetBaseChatResponseApiFormatEnumValues added in v65.63.2 

func GetBaseChatResponseApiFormatEnumValues() []BaseChatResponseApiFormatEnum

GetBaseChatResponseApiFormatEnumValues Enumerates the set of values for BaseChatResponseApiFormatEnum

func GetMappingBaseChatResponseApiFormatEnum added in v65.63.2 

func GetMappingBaseChatResponseApiFormatEnum(val string) (BaseChatResponseApiFormatEnum, bool)

GetMappingBaseChatResponseApiFormatEnum performs case Insensitive comparison on enum value and return the desired enum

type ChatChoice added in v65.63.2 

type ChatChoice struct {

	// The index of the chat.
	Index *int `mandatory:"true" json:"index"`

	Message *Message `mandatory:"true" json:"message"`

	// The reason why the model stopped generating tokens.
	// Stops if the model hits a natural stop point or a provided stop sequence. Returns the length if the tokens reach the specified maximum number of tokens.
	FinishReason *string `mandatory:"true" json:"finishReason"`

	Logprobs *Logprobs `mandatory:"false" json:"logprobs"`
}

ChatChoice Represents a single instance of the chat response.

func (ChatChoice) String added in v65.63.2 

func (m ChatChoice) String() string

func (ChatChoice) ValidateEnumValue added in v65.63.2 

func (m ChatChoice) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type ChatContent added in v65.63.2 

type ChatContent interface {
}

ChatContent The base class for the chat content.

type ChatContentTypeEnum added in v65.63.2 

type ChatContentTypeEnum string

ChatContentTypeEnum Enum with underlying type: string 

const (
	ChatContentTypeText ChatContentTypeEnum = "TEXT"
)

Set of constants representing the allowable values for ChatContentTypeEnum

func GetChatContentTypeEnumValues added in v65.63.2 

func GetChatContentTypeEnumValues() []ChatContentTypeEnum

GetChatContentTypeEnumValues Enumerates the set of values for ChatContentTypeEnum

func GetMappingChatContentTypeEnum added in v65.63.2 

func GetMappingChatContentTypeEnum(val string) (ChatContentTypeEnum, bool)

GetMappingChatContentTypeEnum performs case Insensitive comparison on enum value and return the desired enum

type ChatDetails added in v65.63.2 

type ChatDetails struct {

	// The OCID of compartment that the user is authorized to use to call into the Generative AI service.
	CompartmentId *string `mandatory:"true" json:"compartmentId"`

	ServingMode ServingMode `mandatory:"true" json:"servingMode"`

	ChatRequest BaseChatRequest `mandatory:"false" json:"chatRequest"`
}

ChatDetails Details of the conversation for the model to respond.

func (ChatDetails) String added in v65.63.2 

func (m ChatDetails) String() string

func (*ChatDetails) UnmarshalJSON added in v65.63.2 

func (m *ChatDetails) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (ChatDetails) ValidateEnumValue added in v65.63.2 

func (m ChatDetails) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type ChatRequest added in v65.63.2 

type ChatRequest struct {

	// Details of the conversation for the model to respond.
	ChatDetails `contributesTo:"body"`

	// A token that uniquely identifies a request so it can be retried in case of a timeout or
	// server error without risk of executing that same action again. Retry tokens expire after 24
	// hours, but can be invalidated before then due to conflicting operations. For example, if a resource
	// has been deleted and purged from the system, then a retry of the original creation request
	// might be rejected.
	OpcRetryToken *string `mandatory:"false" contributesTo:"header" name:"opc-retry-token"`

	// The client request ID for tracing.
	OpcRequestId *string `mandatory:"false" contributesTo:"header" name:"opc-request-id"`

	// Metadata about the request. This information will not be transmitted to the service, but
	// represents information that the SDK will consume to drive retry behavior.
	RequestMetadata common.RequestMetadata
}

ChatRequest wrapper for the Chat operation

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/Chat.go.html to see an example of how to use ChatRequest.

func (ChatRequest) BinaryRequestBody added in v65.63.2 

func (request ChatRequest) BinaryRequestBody() (*common.OCIReadSeekCloser, bool)

BinaryRequestBody implements the OCIRequest interface

func (ChatRequest) HTTPRequest added in v65.63.2 

func (request ChatRequest) HTTPRequest(method, path string, binaryRequestBody *common.OCIReadSeekCloser, extraHeaders map[string]string) (http.Request, error)

HTTPRequest implements the OCIRequest interface

func (ChatRequest) RetryPolicy added in v65.63.2 

func (request ChatRequest) RetryPolicy() *common.RetryPolicy

RetryPolicy implements the OCIRetryableRequest interface. This retrieves the specified retry policy.

func (ChatRequest) String added in v65.63.2 

func (request ChatRequest) String() string

func (ChatRequest) ValidateEnumValue added in v65.63.2 

func (request ChatRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type ChatResponse added in v65.63.2 

type ChatResponse struct {

	// The underlying http response
	RawResponse *http.Response

	// The ChatResult instance
	ChatResult `presentIn:"body"`

	// For optimistic concurrency control. See `if-match`.
	Etag *string `presentIn:"header" name:"etag"`

	// Unique Oracle-assigned identifier for the request. If you need to contact
	// Oracle about a particular request, please provide the request ID.
	OpcRequestId *string `presentIn:"header" name:"opc-request-id"`
}

ChatResponse wrapper for the Chat operation

func (ChatResponse) HTTPResponse added in v65.63.2 

func (response ChatResponse) HTTPResponse() *http.Response

HTTPResponse implements the OCIResponse interface

func (ChatResponse) String added in v65.63.2 

func (response ChatResponse) String() string

type ChatResult added in v65.63.2 

type ChatResult struct {

	// The OCID of the model used in this inference request.
	ModelId *string `mandatory:"true" json:"modelId"`

	// The version of the model.
	ModelVersion *string `mandatory:"true" json:"modelVersion"`

	ChatResponse BaseChatResponse `mandatory:"true" json:"chatResponse"`
}

ChatResult The response to the chat conversation.

func (ChatResult) String added in v65.63.2 

func (m ChatResult) String() string

func (*ChatResult) UnmarshalJSON added in v65.63.2 

func (m *ChatResult) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (ChatResult) ValidateEnumValue added in v65.63.2 

func (m ChatResult) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type Choice 

type Choice struct {

	// The index of the generated text.
	Index *int `mandatory:"true" json:"index"`

	// The generated text.
	Text *string `mandatory:"true" json:"text"`

	// The reason why the model stopped generating tokens.
	// Stops if the model hits a natural stop point or a provided stop sequence. Returns the length if the tokens reach the specified maximum number of tokens.
	FinishReason *string `mandatory:"true" json:"finishReason"`

	Logprobs *Logprobs `mandatory:"false" json:"logprobs"`
}

Choice Represents a single instance of generated text.

func (Choice) String 

func (m Choice) String() string

func (Choice) ValidateEnumValue 

func (m Choice) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type Citation added in v65.63.2 

type Citation struct {

	// The index of text that the citation starts at, counting from zero.
	Start *int `mandatory:"true" json:"start"`

	// The index of text that the citation ends after, counting from zero.
	End *int `mandatory:"true" json:"end"`

	// The text of the citation
	Text *string `mandatory:"true" json:"text"`

	// Identifiers of documents cited by this section of the generated reply.
	DocumentIds []string `mandatory:"true" json:"documentIds"`
}

Citation A section of the generated reply which cites external knowledge.

func (Citation) String added in v65.63.2 

func (m Citation) String() string

func (Citation) ValidateEnumValue added in v65.63.2 

func (m Citation) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type CohereChatRequest added in v65.63.2 

type CohereChatRequest struct {

	// Text input for the model to respond to.
	Message *string `mandatory:"true" json:"message"`

	// A list of previous messages between the user and the model, meant to give the model conversational context for responding to the user's message.
	ChatHistory []CohereMessage `mandatory:"false" json:"chatHistory"`

	// list of relevant documents that the model can cite to generate a more accurate reply.
	// Some suggested keys are "text", "author", and "date". For better generation quality, it is
	// recommended to keep the total word count of the strings in the dictionary to under 300
	// words.
	Documents []interface{} `mandatory:"false" json:"documents"`

	// When true, the response will only contain a list of generated search queries, but no search will take place, and no reply from the model to the user's message will be generated.
	IsSearchQueriesOnly *bool `mandatory:"false" json:"isSearchQueriesOnly"`

	// When specified, the default Cohere preamble will be replaced with the provided one. Preambles are a part of the prompt used to adjust the model's overall behavior and conversation style. Default preambles vary for different models.
	PreambleOverride *string `mandatory:"false" json:"preambleOverride"`

	// Whether to stream back partial progress. If set, tokens are sent as data-only server-sent events as they become available.
	IsStream *bool `mandatory:"false" json:"isStream"`

	// The maximum number of tokens to predict for each response. Includes input plus output tokens.
	MaxTokens *int `mandatory:"false" json:"maxTokens"`

	// A number that sets the randomness of the generated output. A lower temperature means a less random generations.
	// Use lower numbers for tasks with a correct answer such as question answering or summarizing. High temperatures can generate hallucinations or factually incorrect information. Start with temperatures lower than 1.0 and increase the temperature for more creative outputs, as you regenerate the prompts to refine the outputs.
	Temperature *float64 `mandatory:"false" json:"temperature"`

	// An integer that sets up the model to use only the top k most likely tokens in the generated output. A higher k introduces more randomness into the output making the output text sound more natural. Default value is 0 which disables this method and considers all tokens. To set a number for the likely tokens, choose an integer between 1 and 500.
	// If also using top p, then the model considers only the top tokens whose probabilities add up to p percent and ignores the rest of the k tokens. For example, if k is 20, but the probabilities of the top 10 add up to .75, then only the top 10 tokens are chosen.
	TopK *int `mandatory:"false" json:"topK"`

	// If set to a probability 0.0 < p < 1.0, it ensures that only the most likely tokens, with total probability mass of p, are considered for generation at each step.
	// To eliminate tokens with low likelihood, assign p a minimum percentage for the next token's likelihood. For example, when p is set to 0.75, the model eliminates the bottom 25 percent for the next token. Set to 1.0 to consider all tokens and set to 0 to disable. If both k and p are enabled, p acts after k.
	TopP *float64 `mandatory:"false" json:"topP"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on their frequency in the generated text so far. Greater numbers encourage the model to use new tokens, while lower numbers encourage the model to repeat the tokens. Set to 0 to disable.
	FrequencyPenalty *float64 `mandatory:"false" json:"frequencyPenalty"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on whether they've appeared in the generated text so far. Greater numbers encourage the model to use new tokens, while lower numbers encourage the model to repeat the tokens.
	// Similar to frequency penalty, a penalty is applied to previously present tokens, except that this penalty is applied equally to all tokens that have already appeared, regardless of how many times they've appeared. Set to 0 to disable.
	PresencePenalty *float64 `mandatory:"false" json:"presencePenalty"`
}

CohereChatRequest Details for the chat request for Cohere models.

func (CohereChatRequest) MarshalJSON added in v65.63.2 

func (m CohereChatRequest) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (CohereChatRequest) String added in v65.63.2 

func (m CohereChatRequest) String() string

func (CohereChatRequest) ValidateEnumValue added in v65.63.2 

func (m CohereChatRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type CohereChatResponse added in v65.63.2 

type CohereChatResponse struct {

	// Contents of the reply generated by the model.
	Text *string `mandatory:"true" json:"text"`

	// Inline citations for the generated reply.
	Citations []Citation `mandatory:"false" json:"citations"`

	// Denotes that a search for documents is required.
	IsSearchRequired *bool `mandatory:"false" json:"isSearchRequired"`

	// Generated search queries.
	SearchQueries []SearchQuery `mandatory:"false" json:"searchQueries"`

	// Documents seen by the model when generating the reply. Each document is a JSON String
	// representing the field and values of the document.
	Documents []interface{} `mandatory:"false" json:"documents"`

	// Why the generation was completed.
	FinishReason CohereChatResponseFinishReasonEnum `mandatory:"true" json:"finishReason"`
}

CohereChatResponse The response to the chat conversation.

func (CohereChatResponse) MarshalJSON added in v65.63.2 

func (m CohereChatResponse) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (CohereChatResponse) String added in v65.63.2 

func (m CohereChatResponse) String() string

func (CohereChatResponse) ValidateEnumValue added in v65.63.2 

func (m CohereChatResponse) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type CohereChatResponseFinishReasonEnum added in v65.63.2 

type CohereChatResponseFinishReasonEnum string

CohereChatResponseFinishReasonEnum Enum with underlying type: string 

const (
	CohereChatResponseFinishReasonComplete   CohereChatResponseFinishReasonEnum = "COMPLETE"
	CohereChatResponseFinishReasonErrorToxic CohereChatResponseFinishReasonEnum = "ERROR_TOXIC"
	CohereChatResponseFinishReasonErrorLimit CohereChatResponseFinishReasonEnum = "ERROR_LIMIT"
	CohereChatResponseFinishReasonError      CohereChatResponseFinishReasonEnum = "ERROR"
	CohereChatResponseFinishReasonUserCancel CohereChatResponseFinishReasonEnum = "USER_CANCEL"
	CohereChatResponseFinishReasonMaxTokens  CohereChatResponseFinishReasonEnum = "MAX_TOKENS"
)

Set of constants representing the allowable values for CohereChatResponseFinishReasonEnum

func GetCohereChatResponseFinishReasonEnumValues added in v65.63.2 

func GetCohereChatResponseFinishReasonEnumValues() []CohereChatResponseFinishReasonEnum

GetCohereChatResponseFinishReasonEnumValues Enumerates the set of values for CohereChatResponseFinishReasonEnum

func GetMappingCohereChatResponseFinishReasonEnum added in v65.63.2 

func GetMappingCohereChatResponseFinishReasonEnum(val string) (CohereChatResponseFinishReasonEnum, bool)

GetMappingCohereChatResponseFinishReasonEnum performs case Insensitive comparison on enum value and return the desired enum

type CohereLlmInferenceRequest 

type CohereLlmInferenceRequest struct {

	// Represents the prompt to be completed. The trailing white spaces are trimmed before completion.
	Prompt *string `mandatory:"true" json:"prompt"`

	// Whether to stream back partial progress. If set, tokens are sent as data-only server-sent events as they become available.
	IsStream *bool `mandatory:"false" json:"isStream"`

	// The number of generated texts that will be returned.
	NumGenerations *int `mandatory:"false" json:"numGenerations"`

	// Whether or not to return the user prompt in the response. This option only applies to non-stream results.
	IsEcho *bool `mandatory:"false" json:"isEcho"`

	// The maximum number of tokens to predict for each response. Includes input plus output tokens.
	MaxTokens *int `mandatory:"false" json:"maxTokens"`

	// A number that sets the randomness of the generated output. A lower temperature means a less random generations.
	// Use lower numbers for tasks with a correct answer such as question answering or summarizing. High temperatures can generate hallucinations or factually incorrect information. Start with temperatures lower than 1.0 and increase the temperature for more creative outputs, as you regenerate the prompts to refine the outputs.
	Temperature *float64 `mandatory:"false" json:"temperature"`

	// An integer that sets up the model to use only the top k most likely tokens in the generated output. A higher k introduces more randomness into the output making the output text sound more natural. Default value is 0 which disables this method and considers all tokens. To set a number for the likely tokens, choose an integer between 1 and 500.
	// If also using top p, then the model considers only the top tokens whose probabilities add up to p percent and ignores the rest of the k tokens. For example, if k is 20, but the probabilities of the top 10 add up to .75, then only the top 10 tokens are chosen.
	TopK *int `mandatory:"false" json:"topK"`

	// If set to a probability 0.0 < p < 1.0, it ensures that only the most likely tokens, with total probability mass of p, are considered for generation at each step.
	// To eliminate tokens with low likelihood, assign p a minimum percentage for the next token's likelihood. For example, when p is set to 0.75, the model eliminates the bottom 25 percent for the next token. Set to 1.0 to consider all tokens and set to 0 to disable. If both k and p are enabled, p acts after k.
	TopP *float64 `mandatory:"false" json:"topP"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on their frequency in the generated text so far. Greater numbers encourage the model to use new tokens, while lower numbers encourage the model to repeat the tokens. Set to 0 to disable.
	FrequencyPenalty *float64 `mandatory:"false" json:"frequencyPenalty"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on whether they've appeared in the generated text so far. Greater numbers encourage the model to use new tokens, while lower numbers encourage the model to repeat the tokens.
	// Similar to frequency penalty, a penalty is applied to previously present tokens, except that this penalty is applied equally to all tokens that have already appeared, regardless of how many times they've appeared. Set to 0 to disable.
	PresencePenalty *float64 `mandatory:"false" json:"presencePenalty"`

	// The generated text is cut at the end of the earliest occurrence of this stop sequence. The generated text will include this stop sequence.
	StopSequences []string `mandatory:"false" json:"stopSequences"`

	// Specifies how and if the token likelihoods are returned with the response.
	ReturnLikelihoods CohereLlmInferenceRequestReturnLikelihoodsEnum `mandatory:"false" json:"returnLikelihoods,omitempty"`

	// For an input that's longer than the maximum token length, specifies which part of the input text will be truncated.
	Truncate CohereLlmInferenceRequestTruncateEnum `mandatory:"false" json:"truncate,omitempty"`
}

CohereLlmInferenceRequest Details for the text generation request for Cohere models.

func (CohereLlmInferenceRequest) MarshalJSON 

func (m CohereLlmInferenceRequest) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (CohereLlmInferenceRequest) String 

func (m CohereLlmInferenceRequest) String() string

func (CohereLlmInferenceRequest) ValidateEnumValue 

func (m CohereLlmInferenceRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type CohereLlmInferenceRequestReturnLikelihoodsEnum 

type CohereLlmInferenceRequestReturnLikelihoodsEnum string

CohereLlmInferenceRequestReturnLikelihoodsEnum Enum with underlying type: string 

const (
	CohereLlmInferenceRequestReturnLikelihoodsNone       CohereLlmInferenceRequestReturnLikelihoodsEnum = "NONE"
	CohereLlmInferenceRequestReturnLikelihoodsAll        CohereLlmInferenceRequestReturnLikelihoodsEnum = "ALL"
	CohereLlmInferenceRequestReturnLikelihoodsGeneration CohereLlmInferenceRequestReturnLikelihoodsEnum = "GENERATION"
)

Set of constants representing the allowable values for CohereLlmInferenceRequestReturnLikelihoodsEnum

func GetCohereLlmInferenceRequestReturnLikelihoodsEnumValues 

func GetCohereLlmInferenceRequestReturnLikelihoodsEnumValues() []CohereLlmInferenceRequestReturnLikelihoodsEnum

GetCohereLlmInferenceRequestReturnLikelihoodsEnumValues Enumerates the set of values for CohereLlmInferenceRequestReturnLikelihoodsEnum

func GetMappingCohereLlmInferenceRequestReturnLikelihoodsEnum 

func GetMappingCohereLlmInferenceRequestReturnLikelihoodsEnum(val string) (CohereLlmInferenceRequestReturnLikelihoodsEnum, bool)

GetMappingCohereLlmInferenceRequestReturnLikelihoodsEnum performs case Insensitive comparison on enum value and return the desired enum

type CohereLlmInferenceRequestTruncateEnum 

type CohereLlmInferenceRequestTruncateEnum string

CohereLlmInferenceRequestTruncateEnum Enum with underlying type: string 

const (
	CohereLlmInferenceRequestTruncateNone  CohereLlmInferenceRequestTruncateEnum = "NONE"
	CohereLlmInferenceRequestTruncateStart CohereLlmInferenceRequestTruncateEnum = "START"
	CohereLlmInferenceRequestTruncateEnd   CohereLlmInferenceRequestTruncateEnum = "END"
)

Set of constants representing the allowable values for CohereLlmInferenceRequestTruncateEnum

func GetCohereLlmInferenceRequestTruncateEnumValues 

func GetCohereLlmInferenceRequestTruncateEnumValues() []CohereLlmInferenceRequestTruncateEnum

GetCohereLlmInferenceRequestTruncateEnumValues Enumerates the set of values for CohereLlmInferenceRequestTruncateEnum

func GetMappingCohereLlmInferenceRequestTruncateEnum 

func GetMappingCohereLlmInferenceRequestTruncateEnum(val string) (CohereLlmInferenceRequestTruncateEnum, bool)

GetMappingCohereLlmInferenceRequestTruncateEnum performs case Insensitive comparison on enum value and return the desired enum

type CohereLlmInferenceResponse 

type CohereLlmInferenceResponse struct {

	// Each prompt in the input array has an array of GeneratedText, controlled by numGenerations parameter in the request.
	GeneratedTexts []GeneratedText `mandatory:"true" json:"generatedTexts"`

	// The date and time that the model was created in an RFC3339 formatted datetime string.
	TimeCreated *common.SDKTime `mandatory:"true" json:"timeCreated"`

	// Represents the original prompt. Applies only to non-stream responses.
	Prompt *string `mandatory:"false" json:"prompt"`
}

CohereLlmInferenceResponse The generated text result to return.

func (CohereLlmInferenceResponse) MarshalJSON 

func (m CohereLlmInferenceResponse) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (CohereLlmInferenceResponse) String 

func (m CohereLlmInferenceResponse) String() string

func (CohereLlmInferenceResponse) ValidateEnumValue 

func (m CohereLlmInferenceResponse) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type CohereMessage added in v65.63.2 

type CohereMessage struct {

	// One of CHATBOT|USER to identify who the message is coming from.
	Role CohereMessageRoleEnum `mandatory:"true" json:"role"`

	// Contents of the chat message.
	Message *string `mandatory:"true" json:"message"`
}

CohereMessage An message that represents a single dialogue of chat

func (CohereMessage) String added in v65.63.2 

func (m CohereMessage) String() string

func (CohereMessage) ValidateEnumValue added in v65.63.2 

func (m CohereMessage) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type CohereMessageRoleEnum added in v65.63.2 

type CohereMessageRoleEnum string

CohereMessageRoleEnum Enum with underlying type: string 

const (
	CohereMessageRoleChatbot CohereMessageRoleEnum = "CHATBOT"
	CohereMessageRoleUser    CohereMessageRoleEnum = "USER"
)

Set of constants representing the allowable values for CohereMessageRoleEnum

func GetCohereMessageRoleEnumValues added in v65.63.2 

func GetCohereMessageRoleEnumValues() []CohereMessageRoleEnum

GetCohereMessageRoleEnumValues Enumerates the set of values for CohereMessageRoleEnum

func GetMappingCohereMessageRoleEnum added in v65.63.2 

func GetMappingCohereMessageRoleEnum(val string) (CohereMessageRoleEnum, bool)

GetMappingCohereMessageRoleEnum performs case Insensitive comparison on enum value and return the desired enum

type DedicatedServingMode 

type DedicatedServingMode struct {

	// The OCID of the endpoint to use.
	EndpointId *string `mandatory:"true" json:"endpointId"`
}

DedicatedServingMode The model's serving mode is dedicated serving and has an endpoint on a dedicated AI cluster.

func (DedicatedServingMode) MarshalJSON 

func (m DedicatedServingMode) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (DedicatedServingMode) String 

func (m DedicatedServingMode) String() string

func (DedicatedServingMode) ValidateEnumValue 

func (m DedicatedServingMode) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type EmbedTextDetails 

type EmbedTextDetails struct {

	// Provide a list of strings with a maximum number of 96 entries. Each string can be words, a phrase, or a paragraph. The maximum length of each string entry in the list is 512 tokens.
	Inputs []string `mandatory:"true" json:"inputs"`

	ServingMode ServingMode `mandatory:"true" json:"servingMode"`

	// The OCID of compartment that the user is authorized to use to call into the Generative AI service.
	CompartmentId *string `mandatory:"true" json:"compartmentId"`

	// Whether or not to include the original inputs in the response. Results are index-based.
	IsEcho *bool `mandatory:"false" json:"isEcho"`

	// For an input that's longer than the maximum token length, specifies which part of the input text will be truncated.
	Truncate EmbedTextDetailsTruncateEnum `mandatory:"false" json:"truncate,omitempty"`

	// Specifies the input type.
	InputType EmbedTextDetailsInputTypeEnum `mandatory:"false" json:"inputType,omitempty"`
}

EmbedTextDetails Details for the request to embed texts.

func (EmbedTextDetails) String 

func (m EmbedTextDetails) String() string

func (*EmbedTextDetails) UnmarshalJSON 

func (m *EmbedTextDetails) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (EmbedTextDetails) ValidateEnumValue 

func (m EmbedTextDetails) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type EmbedTextDetailsInputTypeEnum 

type EmbedTextDetailsInputTypeEnum string

EmbedTextDetailsInputTypeEnum Enum with underlying type: string 

const (
	EmbedTextDetailsInputTypeSearchDocument EmbedTextDetailsInputTypeEnum = "SEARCH_DOCUMENT"
	EmbedTextDetailsInputTypeSearchQuery    EmbedTextDetailsInputTypeEnum = "SEARCH_QUERY"
	EmbedTextDetailsInputTypeClassification EmbedTextDetailsInputTypeEnum = "CLASSIFICATION"
	EmbedTextDetailsInputTypeClustering     EmbedTextDetailsInputTypeEnum = "CLUSTERING"
)

Set of constants representing the allowable values for EmbedTextDetailsInputTypeEnum

func GetEmbedTextDetailsInputTypeEnumValues 

func GetEmbedTextDetailsInputTypeEnumValues() []EmbedTextDetailsInputTypeEnum

GetEmbedTextDetailsInputTypeEnumValues Enumerates the set of values for EmbedTextDetailsInputTypeEnum

func GetMappingEmbedTextDetailsInputTypeEnum 

func GetMappingEmbedTextDetailsInputTypeEnum(val string) (EmbedTextDetailsInputTypeEnum, bool)

GetMappingEmbedTextDetailsInputTypeEnum performs case Insensitive comparison on enum value and return the desired enum

type EmbedTextDetailsTruncateEnum 

type EmbedTextDetailsTruncateEnum string

EmbedTextDetailsTruncateEnum Enum with underlying type: string 

const (
	EmbedTextDetailsTruncateNone  EmbedTextDetailsTruncateEnum = "NONE"
	EmbedTextDetailsTruncateStart EmbedTextDetailsTruncateEnum = "START"
	EmbedTextDetailsTruncateEnd   EmbedTextDetailsTruncateEnum = "END"
)

Set of constants representing the allowable values for EmbedTextDetailsTruncateEnum

func GetEmbedTextDetailsTruncateEnumValues 

func GetEmbedTextDetailsTruncateEnumValues() []EmbedTextDetailsTruncateEnum

GetEmbedTextDetailsTruncateEnumValues Enumerates the set of values for EmbedTextDetailsTruncateEnum

func GetMappingEmbedTextDetailsTruncateEnum 

func GetMappingEmbedTextDetailsTruncateEnum(val string) (EmbedTextDetailsTruncateEnum, bool)

GetMappingEmbedTextDetailsTruncateEnum performs case Insensitive comparison on enum value and return the desired enum

type EmbedTextRequest 

type EmbedTextRequest struct {

	// Details for generating the embed response.
	EmbedTextDetails `contributesTo:"body"`

	// A token that uniquely identifies a request so it can be retried in case of a timeout or
	// server error without risk of executing that same action again. Retry tokens expire after 24
	// hours, but can be invalidated before then due to conflicting operations. For example, if a resource
	// has been deleted and purged from the system, then a retry of the original creation request
	// might be rejected.
	OpcRetryToken *string `mandatory:"false" contributesTo:"header" name:"opc-retry-token"`

	// The client request ID for tracing.
	OpcRequestId *string `mandatory:"false" contributesTo:"header" name:"opc-request-id"`

	// Metadata about the request. This information will not be transmitted to the service, but
	// represents information that the SDK will consume to drive retry behavior.
	RequestMetadata common.RequestMetadata
}

EmbedTextRequest wrapper for the EmbedText operation

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/EmbedText.go.html to see an example of how to use EmbedTextRequest.

func (EmbedTextRequest) BinaryRequestBody 

func (request EmbedTextRequest) BinaryRequestBody() (*common.OCIReadSeekCloser, bool)

BinaryRequestBody implements the OCIRequest interface

func (EmbedTextRequest) HTTPRequest 

func (request EmbedTextRequest) HTTPRequest(method, path string, binaryRequestBody *common.OCIReadSeekCloser, extraHeaders map[string]string) (http.Request, error)

HTTPRequest implements the OCIRequest interface

func (EmbedTextRequest) RetryPolicy 

func (request EmbedTextRequest) RetryPolicy() *common.RetryPolicy

RetryPolicy implements the OCIRetryableRequest interface. This retrieves the specified retry policy.

func (EmbedTextRequest) String 

func (request EmbedTextRequest) String() string

func (EmbedTextRequest) ValidateEnumValue 

func (request EmbedTextRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type EmbedTextResponse 

type EmbedTextResponse struct {

	// The underlying http response
	RawResponse *http.Response

	// The EmbedTextResult instance
	EmbedTextResult `presentIn:"body"`

	// For optimistic concurrency control. See `if-match`.
	Etag *string `presentIn:"header" name:"etag"`

	// Unique Oracle-assigned identifier for the request. If you need to contact
	// Oracle about a particular request, please provide the request ID.
	OpcRequestId *string `presentIn:"header" name:"opc-request-id"`
}

EmbedTextResponse wrapper for the EmbedText operation

func (EmbedTextResponse) HTTPResponse 

func (response EmbedTextResponse) HTTPResponse() *http.Response

HTTPResponse implements the OCIResponse interface

func (EmbedTextResponse) String 

func (response EmbedTextResponse) String() string

type EmbedTextResult 

type EmbedTextResult struct {

	// A unique identifier for the generated result.
	Id *string `mandatory:"true" json:"id"`

	// The embeddings corresponding to inputs.
	Embeddings [][]float32 `mandatory:"true" json:"embeddings"`

	// The original inputs. Only present if "isEcho" is set to true.
	Inputs []string `mandatory:"false" json:"inputs"`

	// The OCID of the model used in this inference request.
	ModelId *string `mandatory:"false" json:"modelId"`

	// The version of the model.
	ModelVersion *string `mandatory:"false" json:"modelVersion"`
}

EmbedTextResult The generated embedded result to return.

func (EmbedTextResult) String 

func (m EmbedTextResult) String() string

func (EmbedTextResult) ValidateEnumValue 

func (m EmbedTextResult) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type GenerateTextDetails 

type GenerateTextDetails struct {

	// The OCID of compartment that the user is authorized to use to call into the Generative AI service.
	CompartmentId *string `mandatory:"true" json:"compartmentId"`

	ServingMode ServingMode `mandatory:"true" json:"servingMode"`

	InferenceRequest LlmInferenceRequest `mandatory:"true" json:"inferenceRequest"`
}

GenerateTextDetails Details for the request to generate text.

func (GenerateTextDetails) String 

func (m GenerateTextDetails) String() string

func (*GenerateTextDetails) UnmarshalJSON 

func (m *GenerateTextDetails) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (GenerateTextDetails) ValidateEnumValue 

func (m GenerateTextDetails) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type GenerateTextRequest 

type GenerateTextRequest struct {

	// Details for generating the text response.
	GenerateTextDetails `contributesTo:"body"`

	// A token that uniquely identifies a request so it can be retried in case of a timeout or
	// server error without risk of executing that same action again. Retry tokens expire after 24
	// hours, but can be invalidated before then due to conflicting operations. For example, if a resource
	// has been deleted and purged from the system, then a retry of the original creation request
	// might be rejected.
	OpcRetryToken *string `mandatory:"false" contributesTo:"header" name:"opc-retry-token"`

	// The client request ID for tracing.
	OpcRequestId *string `mandatory:"false" contributesTo:"header" name:"opc-request-id"`

	// Metadata about the request. This information will not be transmitted to the service, but
	// represents information that the SDK will consume to drive retry behavior.
	RequestMetadata common.RequestMetadata
}

GenerateTextRequest wrapper for the GenerateText operation

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/GenerateText.go.html to see an example of how to use GenerateTextRequest.

func (GenerateTextRequest) BinaryRequestBody 

func (request GenerateTextRequest) BinaryRequestBody() (*common.OCIReadSeekCloser, bool)

BinaryRequestBody implements the OCIRequest interface

func (GenerateTextRequest) HTTPRequest 

func (request GenerateTextRequest) HTTPRequest(method, path string, binaryRequestBody *common.OCIReadSeekCloser, extraHeaders map[string]string) (http.Request, error)

HTTPRequest implements the OCIRequest interface

func (GenerateTextRequest) RetryPolicy 

func (request GenerateTextRequest) RetryPolicy() *common.RetryPolicy

RetryPolicy implements the OCIRetryableRequest interface. This retrieves the specified retry policy.

func (GenerateTextRequest) String 

func (request GenerateTextRequest) String() string

func (GenerateTextRequest) ValidateEnumValue 

func (request GenerateTextRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type GenerateTextResponse 

type GenerateTextResponse struct {

	// The underlying http response
	RawResponse *http.Response

	// The GenerateTextResult instance
	GenerateTextResult `presentIn:"body"`

	// For optimistic concurrency control. See `if-match`.
	Etag *string `presentIn:"header" name:"etag"`

	// Unique Oracle-assigned identifier for the request. If you need to contact
	// Oracle about a particular request, please provide the request ID.
	OpcRequestId *string `presentIn:"header" name:"opc-request-id"`
}

GenerateTextResponse wrapper for the GenerateText operation

func (GenerateTextResponse) HTTPResponse 

func (response GenerateTextResponse) HTTPResponse() *http.Response

HTTPResponse implements the OCIResponse interface

func (GenerateTextResponse) String 

func (response GenerateTextResponse) String() string

type GenerateTextResult 

type GenerateTextResult struct {

	// The OCID of the model used in this inference request.
	ModelId *string `mandatory:"true" json:"modelId"`

	// The version of the model.
	ModelVersion *string `mandatory:"true" json:"modelVersion"`

	InferenceResponse LlmInferenceResponse `mandatory:"true" json:"inferenceResponse"`
}

GenerateTextResult The generated text result to return.

func (GenerateTextResult) String 

func (m GenerateTextResult) String() string

func (*GenerateTextResult) UnmarshalJSON 

func (m *GenerateTextResult) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (GenerateTextResult) ValidateEnumValue 

func (m GenerateTextResult) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type GeneratedText 

type GeneratedText struct {

	// A unique identifier for this text generation.
	Id *string `mandatory:"true" json:"id"`

	// The generated text.
	Text *string `mandatory:"true" json:"text"`

	// The overall likelihood of the generated text.
	// When a large language model generates a new token for the output text, a likelihood is assigned to all tokens, where tokens with higher likelihoods are more likely to follow the current token. For example, it's more likely that the word favorite is followed by the word food or book rather than the word zebra. A lower likelihood means that it's less likely that token follows the current token.
	Likelihood *float64 `mandatory:"true" json:"likelihood"`

	// The reason why the model stopped generating tokens.
	// A model stops generating tokens if the model hits a natural stop point or reaches a provided stop sequence.
	FinishReason *string `mandatory:"false" json:"finishReason"`

	// A collection of generated tokens and their corresponding likelihoods.
	TokenLikelihoods []TokenLikelihood `mandatory:"false" json:"tokenLikelihoods"`
}

GeneratedText The text generated during each run.

func (GeneratedText) String 

func (m GeneratedText) String() string

func (GeneratedText) ValidateEnumValue 

func (m GeneratedText) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type GenerativeAiInferenceClient 

type GenerativeAiInferenceClient struct {
	common.BaseClient
	// contains filtered or unexported fields
}

GenerativeAiInferenceClient a client for GenerativeAiInference

func NewGenerativeAiInferenceClientWithConfigurationProvider 

func NewGenerativeAiInferenceClientWithConfigurationProvider(configProvider common.ConfigurationProvider) (client GenerativeAiInferenceClient, err error)

NewGenerativeAiInferenceClientWithConfigurationProvider Creates a new default GenerativeAiInference client with the given configuration provider. the configuration provider will be used for the default signer as well as reading the region

func NewGenerativeAiInferenceClientWithOboToken 

func NewGenerativeAiInferenceClientWithOboToken(configProvider common.ConfigurationProvider, oboToken string) (client GenerativeAiInferenceClient, err error)

NewGenerativeAiInferenceClientWithOboToken Creates a new default GenerativeAiInference client with the given configuration provider. The obotoken will be added to default headers and signed; the configuration provider will be used for the signer 

as well as reading the region

func (GenerativeAiInferenceClient) Chat added in v65.63.2 

func (client GenerativeAiInferenceClient) Chat(ctx context.Context, request ChatRequest) (response ChatResponse, err error)

Chat Creates a response for the given conversation.

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/Chat.go.html to see an example of how to use Chat API. A default retry strategy applies to this operation Chat()

func (*GenerativeAiInferenceClient) ConfigurationProvider 

func (client *GenerativeAiInferenceClient) ConfigurationProvider() *common.ConfigurationProvider

ConfigurationProvider the ConfigurationProvider used in this client, or null if none set

func (GenerativeAiInferenceClient) EmbedText 

func (client GenerativeAiInferenceClient) EmbedText(ctx context.Context, request EmbedTextRequest) (response EmbedTextResponse, err error)

EmbedText Produces embeddings for the inputs. An embedding is numeric representation of a piece of text. This text can be a phrase, a sentence, or one or more paragraphs. The Generative AI embedding model transforms each phrase, sentence, or paragraph that you input, into an array with 1024 numbers. You can use these embeddings for finding similarity in your input text such as finding phrases that are similar in context or category. Embeddings are mostly used for semantic searches where the search function focuses on the meaning of the text that it's searching through rather than finding results based on keywords.

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/EmbedText.go.html to see an example of how to use EmbedText API. A default retry strategy applies to this operation EmbedText()

func (GenerativeAiInferenceClient) GenerateText 

func (client GenerativeAiInferenceClient) GenerateText(ctx context.Context, request GenerateTextRequest) (response GenerateTextResponse, err error)

GenerateText Generates a text response based on the user prompt.

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/GenerateText.go.html to see an example of how to use GenerateText API. A default retry strategy applies to this operation GenerateText()

func (*GenerativeAiInferenceClient) SetRegion 

func (client *GenerativeAiInferenceClient) SetRegion(region string)

SetRegion overrides the region of this client.

func (GenerativeAiInferenceClient) SummarizeText 

func (client GenerativeAiInferenceClient) SummarizeText(ctx context.Context, request SummarizeTextRequest) (response SummarizeTextResponse, err error)

SummarizeText Summarizes the input text.

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/SummarizeText.go.html to see an example of how to use SummarizeText API. A default retry strategy applies to this operation SummarizeText()

type GenericChatRequest added in v65.63.2 

type GenericChatRequest struct {

	// The series of messages associated with this chat completion request. It should include previous messages in the conversation. Each message has a role and content.
	Messages []Message `mandatory:"false" json:"messages"`

	// Whether to stream back partial progress. If set, tokens are sent as data-only server-sent events as they become available.
	IsStream *bool `mandatory:"false" json:"isStream"`

	// The number of of generated texts that will be returned.
	NumGenerations *int `mandatory:"false" json:"numGenerations"`

	// Whether or not to return the user prompt in the response. Applies only to non-stream results.
	IsEcho *bool `mandatory:"false" json:"isEcho"`

	// An integer that sets up the model to use only the top k most likely tokens in the generated output. A higher k introduces more randomness into the output making the output text sound more natural. Default value is -1 which means to consider all tokens. Setting to 0 disables this method and considers all tokens.
	// If also using top p, then the model considers only the top tokens whose probabilities add up to p percent and ignores the rest of the k tokens. For example, if k is 20, but the probabilities of the top 10 add up to .75, then only the top 10 tokens are chosen.
	TopK *int `mandatory:"false" json:"topK"`

	// If set to a probability 0.0 < p < 1.0, it ensures that only the most likely tokens, with total probability mass of p, are considered for generation at each step.
	// To eliminate tokens with low likelihood, assign p a minimum percentage for the next token's likelihood. For example, when p is set to 0.75, the model eliminates the bottom 25 percent for the next token. Set to 1 to consider all tokens and set to 0 to disable. If both k and p are enabled, p acts after k.
	TopP *float64 `mandatory:"false" json:"topP"`

	// A number that sets the randomness of the generated output. A lower temperature means a less random generations.
	// Use lower numbers for tasks with a correct answer such as question answering or summarizing. High temperatures can generate hallucinations or factually incorrect information. Start with temperatures lower than 1.0 and increase the temperature for more creative outputs, as you regenerate the prompts to refine the outputs.
	Temperature *float64 `mandatory:"false" json:"temperature"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on their frequency in the generated text so far. Values > 0 encourage the model to use new tokens and values < 0 encourage the model to repeat tokens. Set to 0 to disable.
	FrequencyPenalty *float64 `mandatory:"false" json:"frequencyPenalty"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on whether they've appeared in the generated text so far. Values > 0 encourage the model to use new tokens and values < 0 encourage the model to repeat tokens.
	// Similar to frequency penalty, a penalty is applied to previously present tokens, except that this penalty is applied equally to all tokens that have already appeared, regardless of how many times they've appeared. Set to 0 to disable.
	PresencePenalty *float64 `mandatory:"false" json:"presencePenalty"`

	// List of strings that stop the generation if they are generated for the response text. The returned output will not contain the stop strings.
	Stop []string `mandatory:"false" json:"stop"`

	// Includes the logarithmic probabilities for the most likely output tokens and the chosen tokens.
	// For example, if the log probability is 5, the API returns a list of the 5 most likely tokens. The API returns the log probability of the sampled token, so there might be up to logprobs+1 elements in the response.
	LogProbs *int `mandatory:"false" json:"logProbs"`

	// The maximum number of tokens that can be generated per output sequence. The token count of your prompt plus max_tokens cannot exceed the model's context length.
	MaxTokens *int `mandatory:"false" json:"maxTokens"`

	// Modify the likelihood of specified tokens appearing in the completion.
	LogitBias *interface{} `mandatory:"false" json:"logitBias"`
}

GenericChatRequest Details for the chat request.

func (GenericChatRequest) MarshalJSON added in v65.63.2 

func (m GenericChatRequest) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (GenericChatRequest) String added in v65.63.2 

func (m GenericChatRequest) String() string

func (GenericChatRequest) ValidateEnumValue added in v65.63.2 

func (m GenericChatRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type GenericChatResponse added in v65.63.2 

type GenericChatResponse struct {

	// The Unix timestamp (in seconds) of when the generation was created.
	TimeCreated *common.SDKTime `mandatory:"true" json:"timeCreated"`

	// A list of generated texts. Can be more than one if n is greater than 1.
	Choices []ChatChoice `mandatory:"true" json:"choices"`
}

GenericChatResponse The response to the chat conversation.

func (GenericChatResponse) MarshalJSON added in v65.63.2 

func (m GenericChatResponse) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (GenericChatResponse) String added in v65.63.2 

func (m GenericChatResponse) String() string

func (GenericChatResponse) ValidateEnumValue added in v65.63.2 

func (m GenericChatResponse) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type LlamaLlmInferenceRequest 

type LlamaLlmInferenceRequest struct {

	// Represents the prompt to be completed. The trailing white spaces are trimmed before completion.
	Prompt *string `mandatory:"false" json:"prompt"`

	// Whether to stream back partial progress. If set, tokens are sent as data-only server-sent events as they become available.
	IsStream *bool `mandatory:"false" json:"isStream"`

	// The number of of generated texts that will be returned.
	NumGenerations *int `mandatory:"false" json:"numGenerations"`

	// Whether or not to return the user prompt in the response. Applies only to non-stream results.
	IsEcho *bool `mandatory:"false" json:"isEcho"`

	// An integer that sets up the model to use only the top k most likely tokens in the generated output. A higher k introduces more randomness into the output making the output text sound more natural. Default value is -1 which means to consider all tokens. Setting to 0 disables this method and considers all tokens.
	// If also using top p, then the model considers only the top tokens whose probabilities add up to p percent and ignores the rest of the k tokens. For example, if k is 20, but the probabilities of the top 10 add up to .75, then only the top 10 tokens are chosen.
	TopK *int `mandatory:"false" json:"topK"`

	// If set to a probability 0.0 < p < 1.0, it ensures that only the most likely tokens, with total probability mass of p, are considered for generation at each step.
	// To eliminate tokens with low likelihood, assign p a minimum percentage for the next token's likelihood. For example, when p is set to 0.75, the model eliminates the bottom 25 percent for the next token. Set to 1 to consider all tokens and set to 0 to disable. If both k and p are enabled, p acts after k.
	TopP *float64 `mandatory:"false" json:"topP"`

	// A number that sets the randomness of the generated output. A lower temperature means a less random generations.
	// Use lower numbers for tasks with a correct answer such as question answering or summarizing. High temperatures can generate hallucinations or factually incorrect information. Start with temperatures lower than 1.0 and increase the temperature for more creative outputs, as you regenerate the prompts to refine the outputs.
	Temperature *float64 `mandatory:"false" json:"temperature"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on their frequency in the generated text so far. Values > 0 encourage the model to use new tokens and values < 0 encourage the model to repeat tokens. Set to 0 to disable.
	FrequencyPenalty *float64 `mandatory:"false" json:"frequencyPenalty"`

	// To reduce repetitiveness of generated tokens, this number penalizes new tokens based on whether they've appeared in the generated text so far. Values > 0 encourage the model to use new tokens and values < 0 encourage the model to repeat tokens.
	// Similar to frequency penalty, a penalty is applied to previously present tokens, except that this penalty is applied equally to all tokens that have already appeared, regardless of how many times they've appeared. Set to 0 to disable.
	PresencePenalty *float64 `mandatory:"false" json:"presencePenalty"`

	// List of strings that stop the generation if they are generated for the response text. The returned output will not contain the stop strings.
	Stop []string `mandatory:"false" json:"stop"`

	// Includes the logarithmic probabilities for the most likely output tokens and the chosen tokens.
	// For example, if the log probability is 5, the API returns a list of the 5 most likely tokens. The API returns the log probability of the sampled token, so there might be up to logprobs+1 elements in the response.
	LogProbs *int `mandatory:"false" json:"logProbs"`

	// The maximum number of tokens that can be generated per output sequence. The token count of your prompt plus max_tokens cannot exceed the model's context length.
	MaxTokens *int `mandatory:"false" json:"maxTokens"`
}

LlamaLlmInferenceRequest Details for the text generation request for Llama models.

func (LlamaLlmInferenceRequest) MarshalJSON 

func (m LlamaLlmInferenceRequest) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (LlamaLlmInferenceRequest) String 

func (m LlamaLlmInferenceRequest) String() string

func (LlamaLlmInferenceRequest) ValidateEnumValue 

func (m LlamaLlmInferenceRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type LlamaLlmInferenceResponse 

type LlamaLlmInferenceResponse struct {

	// The Unix timestamp (in seconds) of when the generation was created.
	Created *common.SDKTime `mandatory:"true" json:"created"`

	// A list of generated texts. Can be more than one if n is greater than 1.
	Choices []Choice `mandatory:"true" json:"choices"`
}

LlamaLlmInferenceResponse The generated text result to return.

func (LlamaLlmInferenceResponse) MarshalJSON 

func (m LlamaLlmInferenceResponse) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (LlamaLlmInferenceResponse) String 

func (m LlamaLlmInferenceResponse) String() string

func (LlamaLlmInferenceResponse) ValidateEnumValue 

func (m LlamaLlmInferenceResponse) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type LlmInferenceRequest 

type LlmInferenceRequest interface {
}

LlmInferenceRequest The base class for the inference requests.

type LlmInferenceRequestRuntimeTypeEnum 

type LlmInferenceRequestRuntimeTypeEnum string

LlmInferenceRequestRuntimeTypeEnum Enum with underlying type: string 

const (
	LlmInferenceRequestRuntimeTypeCohere LlmInferenceRequestRuntimeTypeEnum = "COHERE"
	LlmInferenceRequestRuntimeTypeLlama  LlmInferenceRequestRuntimeTypeEnum = "LLAMA"
)

Set of constants representing the allowable values for LlmInferenceRequestRuntimeTypeEnum

func GetLlmInferenceRequestRuntimeTypeEnumValues 

func GetLlmInferenceRequestRuntimeTypeEnumValues() []LlmInferenceRequestRuntimeTypeEnum

GetLlmInferenceRequestRuntimeTypeEnumValues Enumerates the set of values for LlmInferenceRequestRuntimeTypeEnum

func GetMappingLlmInferenceRequestRuntimeTypeEnum 

func GetMappingLlmInferenceRequestRuntimeTypeEnum(val string) (LlmInferenceRequestRuntimeTypeEnum, bool)

GetMappingLlmInferenceRequestRuntimeTypeEnum performs case Insensitive comparison on enum value and return the desired enum

type LlmInferenceResponse 

type LlmInferenceResponse interface {
}

LlmInferenceResponse The base class for inference responses.

type LlmInferenceResponseRuntimeTypeEnum 

type LlmInferenceResponseRuntimeTypeEnum string

LlmInferenceResponseRuntimeTypeEnum Enum with underlying type: string 

const (
	LlmInferenceResponseRuntimeTypeCohere LlmInferenceResponseRuntimeTypeEnum = "COHERE"
	LlmInferenceResponseRuntimeTypeLlama  LlmInferenceResponseRuntimeTypeEnum = "LLAMA"
	LlmInferenceResponseRuntimeTypeOpenai LlmInferenceResponseRuntimeTypeEnum = "OPENAI"
	LlmInferenceResponseRuntimeTypeDalle3 LlmInferenceResponseRuntimeTypeEnum = "DALLE3"
)

Set of constants representing the allowable values for LlmInferenceResponseRuntimeTypeEnum

func GetLlmInferenceResponseRuntimeTypeEnumValues 

func GetLlmInferenceResponseRuntimeTypeEnumValues() []LlmInferenceResponseRuntimeTypeEnum

GetLlmInferenceResponseRuntimeTypeEnumValues Enumerates the set of values for LlmInferenceResponseRuntimeTypeEnum

func GetMappingLlmInferenceResponseRuntimeTypeEnum 

func GetMappingLlmInferenceResponseRuntimeTypeEnum(val string) (LlmInferenceResponseRuntimeTypeEnum, bool)

GetMappingLlmInferenceResponseRuntimeTypeEnum performs case Insensitive comparison on enum value and return the desired enum

type Logprobs 

type Logprobs struct {

	// The text offset.
	TextOffset []int `mandatory:"false" json:"textOffset"`

	// The logarithmic probabilites of the output token.
	TokenLogprobs []float64 `mandatory:"false" json:"tokenLogprobs"`

	// The list of output tokens.
	Tokens []string `mandatory:"false" json:"tokens"`

	// The logarithmic probabilities of each of the top k tokens.
	TopLogprobs []map[string]string `mandatory:"false" json:"topLogprobs"`
}

Logprobs Returns if the logarithmic probabilites is set.

func (Logprobs) String 

func (m Logprobs) String() string

func (Logprobs) ValidateEnumValue 

func (m Logprobs) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type Message added in v65.63.2 

type Message struct {

	// Indicates who is giving the current message.
	Role *string `mandatory:"true" json:"role"`

	// Contents of the chat message.
	Content []ChatContent `mandatory:"true" json:"content"`
}

Message An message that represents a single dialogue of chat

func (Message) String added in v65.63.2 

func (m Message) String() string

func (*Message) UnmarshalJSON added in v65.63.2 

func (m *Message) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (Message) ValidateEnumValue added in v65.63.2 

func (m Message) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type OnDemandServingMode 

type OnDemandServingMode struct {

	// The unique ID of a model to use. Can use list Models API to list available models.
	ModelId *string `mandatory:"true" json:"modelId"`
}

OnDemandServingMode The model's serving mode is on-demand serving on a shared infrastructure.

func (OnDemandServingMode) MarshalJSON 

func (m OnDemandServingMode) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (OnDemandServingMode) String 

func (m OnDemandServingMode) String() string

func (OnDemandServingMode) ValidateEnumValue 

func (m OnDemandServingMode) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type SearchQuery added in v65.63.2 

type SearchQuery struct {

	// The text of the search query.
	Text *string `mandatory:"true" json:"text"`
}

SearchQuery The generated search query.

func (SearchQuery) String added in v65.63.2 

func (m SearchQuery) String() string

func (SearchQuery) ValidateEnumValue added in v65.63.2 

func (m SearchQuery) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type ServingMode 

type ServingMode interface {
}

ServingMode The model's serving mode, which could be on-demand serving or dedicated serving.

type ServingModeServingTypeEnum 

type ServingModeServingTypeEnum string

ServingModeServingTypeEnum Enum with underlying type: string 

const (
	ServingModeServingTypeOnDemand  ServingModeServingTypeEnum = "ON_DEMAND"
	ServingModeServingTypeDedicated ServingModeServingTypeEnum = "DEDICATED"
)

Set of constants representing the allowable values for ServingModeServingTypeEnum

func GetMappingServingModeServingTypeEnum 

func GetMappingServingModeServingTypeEnum(val string) (ServingModeServingTypeEnum, bool)

GetMappingServingModeServingTypeEnum performs case Insensitive comparison on enum value and return the desired enum

func GetServingModeServingTypeEnumValues 

func GetServingModeServingTypeEnumValues() []ServingModeServingTypeEnum

GetServingModeServingTypeEnumValues Enumerates the set of values for ServingModeServingTypeEnum

type SummarizeTextDetails 

type SummarizeTextDetails struct {

	// The input string to be summarized.
	Input *string `mandatory:"true" json:"input"`

	ServingMode ServingMode `mandatory:"true" json:"servingMode"`

	// The OCID of compartment that the user is authorized to use to call into the Generative AI service.
	CompartmentId *string `mandatory:"true" json:"compartmentId"`

	// Whether or not to include the original inputs in the response.
	IsEcho *bool `mandatory:"false" json:"isEcho"`

	// A number that sets the randomness of the generated output. Lower temperatures mean less random generations.
	// Use lower numbers for tasks with a correct answer such as question answering or summarizing. High temperatures can generate hallucinations or factually incorrect information. Start with temperatures lower than 1.0, and increase the temperature for more creative outputs, as you regenerate the prompts to refine the outputs.
	Temperature *float64 `mandatory:"false" json:"temperature"`

	// A free-form instruction for modifying how the summaries get generated. Should complete the sentence "Generate a summary _". For example, "focusing on the next steps" or "written by Yoda".
	AdditionalCommand *string `mandatory:"false" json:"additionalCommand"`

	// Indicates the approximate length of the summary. If "AUTO" is selected, the best option will be picked based on the input text.
	Length SummarizeTextDetailsLengthEnum `mandatory:"false" json:"length,omitempty"`

	// Indicates the style in which the summary will be delivered - in a free form paragraph or in bullet points. If "AUTO" is selected, the best option will be picked based on the input text.
	Format SummarizeTextDetailsFormatEnum `mandatory:"false" json:"format,omitempty"`

	// Controls how close to the original text the summary is. High extractiveness summaries will lean towards reusing sentences verbatim, while low extractiveness summaries will tend to paraphrase more.
	Extractiveness SummarizeTextDetailsExtractivenessEnum `mandatory:"false" json:"extractiveness,omitempty"`
}

SummarizeTextDetails Details for the request to summarize text.

func (SummarizeTextDetails) String 

func (m SummarizeTextDetails) String() string

func (*SummarizeTextDetails) UnmarshalJSON 

func (m *SummarizeTextDetails) UnmarshalJSON(data []byte) (e error)

UnmarshalJSON unmarshals from json

func (SummarizeTextDetails) ValidateEnumValue 

func (m SummarizeTextDetails) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type SummarizeTextDetailsExtractivenessEnum 

type SummarizeTextDetailsExtractivenessEnum string

SummarizeTextDetailsExtractivenessEnum Enum with underlying type: string 

const (
	SummarizeTextDetailsExtractivenessLow    SummarizeTextDetailsExtractivenessEnum = "LOW"
	SummarizeTextDetailsExtractivenessMedium SummarizeTextDetailsExtractivenessEnum = "MEDIUM"
	SummarizeTextDetailsExtractivenessHigh   SummarizeTextDetailsExtractivenessEnum = "HIGH"
	SummarizeTextDetailsExtractivenessAuto   SummarizeTextDetailsExtractivenessEnum = "AUTO"
)

Set of constants representing the allowable values for SummarizeTextDetailsExtractivenessEnum

func GetMappingSummarizeTextDetailsExtractivenessEnum 

func GetMappingSummarizeTextDetailsExtractivenessEnum(val string) (SummarizeTextDetailsExtractivenessEnum, bool)

GetMappingSummarizeTextDetailsExtractivenessEnum performs case Insensitive comparison on enum value and return the desired enum

func GetSummarizeTextDetailsExtractivenessEnumValues 

func GetSummarizeTextDetailsExtractivenessEnumValues() []SummarizeTextDetailsExtractivenessEnum

GetSummarizeTextDetailsExtractivenessEnumValues Enumerates the set of values for SummarizeTextDetailsExtractivenessEnum

type SummarizeTextDetailsFormatEnum 

type SummarizeTextDetailsFormatEnum string

SummarizeTextDetailsFormatEnum Enum with underlying type: string 

const (
	SummarizeTextDetailsFormatParagraph SummarizeTextDetailsFormatEnum = "PARAGRAPH"
	SummarizeTextDetailsFormatBullets   SummarizeTextDetailsFormatEnum = "BULLETS"
	SummarizeTextDetailsFormatAuto      SummarizeTextDetailsFormatEnum = "AUTO"
)

Set of constants representing the allowable values for SummarizeTextDetailsFormatEnum

func GetMappingSummarizeTextDetailsFormatEnum 

func GetMappingSummarizeTextDetailsFormatEnum(val string) (SummarizeTextDetailsFormatEnum, bool)

GetMappingSummarizeTextDetailsFormatEnum performs case Insensitive comparison on enum value and return the desired enum

func GetSummarizeTextDetailsFormatEnumValues 

func GetSummarizeTextDetailsFormatEnumValues() []SummarizeTextDetailsFormatEnum

GetSummarizeTextDetailsFormatEnumValues Enumerates the set of values for SummarizeTextDetailsFormatEnum

type SummarizeTextDetailsLengthEnum 

type SummarizeTextDetailsLengthEnum string

SummarizeTextDetailsLengthEnum Enum with underlying type: string 

const (
	SummarizeTextDetailsLengthShort  SummarizeTextDetailsLengthEnum = "SHORT"
	SummarizeTextDetailsLengthMedium SummarizeTextDetailsLengthEnum = "MEDIUM"
	SummarizeTextDetailsLengthLong   SummarizeTextDetailsLengthEnum = "LONG"
	SummarizeTextDetailsLengthAuto   SummarizeTextDetailsLengthEnum = "AUTO"
)

Set of constants representing the allowable values for SummarizeTextDetailsLengthEnum

func GetMappingSummarizeTextDetailsLengthEnum 

func GetMappingSummarizeTextDetailsLengthEnum(val string) (SummarizeTextDetailsLengthEnum, bool)

GetMappingSummarizeTextDetailsLengthEnum performs case Insensitive comparison on enum value and return the desired enum

func GetSummarizeTextDetailsLengthEnumValues 

func GetSummarizeTextDetailsLengthEnumValues() []SummarizeTextDetailsLengthEnum

GetSummarizeTextDetailsLengthEnumValues Enumerates the set of values for SummarizeTextDetailsLengthEnum

type SummarizeTextRequest 

type SummarizeTextRequest struct {

	// Details for summarizing the text.
	SummarizeTextDetails `contributesTo:"body"`

	// A token that uniquely identifies a request so it can be retried in case of a timeout or
	// server error without risk of executing that same action again. Retry tokens expire after 24
	// hours, but can be invalidated before then due to conflicting operations. For example, if a resource
	// has been deleted and purged from the system, then a retry of the original creation request
	// might be rejected.
	OpcRetryToken *string `mandatory:"false" contributesTo:"header" name:"opc-retry-token"`

	// The client request ID for tracing.
	OpcRequestId *string `mandatory:"false" contributesTo:"header" name:"opc-request-id"`

	// Metadata about the request. This information will not be transmitted to the service, but
	// represents information that the SDK will consume to drive retry behavior.
	RequestMetadata common.RequestMetadata
}

SummarizeTextRequest wrapper for the SummarizeText operation

See also

Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/generativeaiinference/SummarizeText.go.html to see an example of how to use SummarizeTextRequest.

func (SummarizeTextRequest) BinaryRequestBody 

func (request SummarizeTextRequest) BinaryRequestBody() (*common.OCIReadSeekCloser, bool)

BinaryRequestBody implements the OCIRequest interface

func (SummarizeTextRequest) HTTPRequest 

func (request SummarizeTextRequest) HTTPRequest(method, path string, binaryRequestBody *common.OCIReadSeekCloser, extraHeaders map[string]string) (http.Request, error)

HTTPRequest implements the OCIRequest interface

func (SummarizeTextRequest) RetryPolicy 

func (request SummarizeTextRequest) RetryPolicy() *common.RetryPolicy

RetryPolicy implements the OCIRetryableRequest interface. This retrieves the specified retry policy.

func (SummarizeTextRequest) String 

func (request SummarizeTextRequest) String() string

func (SummarizeTextRequest) ValidateEnumValue 

func (request SummarizeTextRequest) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type SummarizeTextResponse 

type SummarizeTextResponse struct {

	// The underlying http response
	RawResponse *http.Response

	// The SummarizeTextResult instance
	SummarizeTextResult `presentIn:"body"`

	// For optimistic concurrency control. See `if-match`.
	Etag *string `presentIn:"header" name:"etag"`

	// Unique Oracle-assigned identifier for the request. If you need to contact
	// Oracle about a particular request, please provide the request ID.
	OpcRequestId *string `presentIn:"header" name:"opc-request-id"`
}

SummarizeTextResponse wrapper for the SummarizeText operation

func (SummarizeTextResponse) HTTPResponse 

func (response SummarizeTextResponse) HTTPResponse() *http.Response

HTTPResponse implements the OCIResponse interface

func (SummarizeTextResponse) String 

func (response SummarizeTextResponse) String() string

type SummarizeTextResult 

type SummarizeTextResult struct {

	// A unique identifier for this SummarizeTextResult.
	Id *string `mandatory:"true" json:"id"`

	// Summary result corresponding to input.
	Summary *string `mandatory:"true" json:"summary"`

	// The original input. Only included if "isEcho" set to true.
	Input *string `mandatory:"false" json:"input"`

	// The OCID of the model used in this inference request.
	ModelId *string `mandatory:"false" json:"modelId"`

	// The version of the model.
	ModelVersion *string `mandatory:"false" json:"modelVersion"`
}

SummarizeTextResult Summarize text result to return to caller.

func (SummarizeTextResult) String 

func (m SummarizeTextResult) String() string

func (SummarizeTextResult) ValidateEnumValue 

func (m SummarizeTextResult) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type TextContent added in v65.63.2 

type TextContent struct {

	// The text content.
	Text *string `mandatory:"false" json:"text"`
}

TextContent Represents a single instance of text chat content.

func (TextContent) MarshalJSON added in v65.63.2 

func (m TextContent) MarshalJSON() (buff []byte, e error)

MarshalJSON marshals to json representation

func (TextContent) String added in v65.63.2 

func (m TextContent) String() string

func (TextContent) ValidateEnumValue added in v65.63.2 

func (m TextContent) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

type TokenLikelihood 

type TokenLikelihood struct {

	// A word, part of a word, or a punctuation.
	// For example, apple is a token and friendship is made up of two tokens, friend and ship. When you run a model, you can set the maximum number of output tokens. Estimate three tokens per word.
	Token *string `mandatory:"false" json:"token"`

	// The likelihood of this token during generation.
	Likelihood *float64 `mandatory:"false" json:"likelihood"`
}

TokenLikelihood An object that contains the returned token and its corresponding likelihood.

func (TokenLikelihood) String 

func (m TokenLikelihood) String() string

func (TokenLikelihood) ValidateEnumValue 

func (m TokenLikelihood) ValidateEnumValue() (bool, error)

ValidateEnumValue returns an error when providing an unsupported enum value This function is being called during constructing API request process Not recommended for calling this function directly

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