llm_commons

package
v0.3.39 Latest Latest
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 Go to latest Published: Mar 5, 2025 License: BSD-3-Clause Imports: 16 Imported by: 0

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Index

Constants

View Source 
const (
	RoleSystem    string = "system"
	RoleUser             = "user"
	RoleAssistant        = "assistant"
)
View Source 
const (
	DriverOllama  = "ollama"
	DriverChatGPT = "chatgpt"
	DriverClaude  = "claude"

	DriverDalle    = "dalle"
	DriverUnsplash = "unsplash"
)
View Source 
const (
	PromptDefNameUpload   = "upload"   // special system prompt used only after a session upload
	PromptDefNameEntities = "entities" // system prompt used by tools or user actions to achieve a special task
	PromptDefNameContext  = "context"
)
View Source 
const ContentOptionSyntaxHTML = "html"
View Source 
const ContentOptionSyntaxMarkdown = "markdown"
View Source 
const ContentOptionSyntaxTextPlain = "text"
View Source 
const DefLang = "en" // default llm language
View Source 
const DefModel = "llama3.2"
View Source 
const DirSensyOutputs = "./sensy-outputs" // all sensy outputs go here
View Source 
const DirSensyPrompts = "./sensy-prompts" // source folder for prompts (only if used AI)
View Source 
const PrefixLiteral = "literal:"
View Source 
const PrefixPrompt = "prompt:"
View Source 
const PromptDefLang = DefLang
View Source 
const PromptSeparator = "\n---\n"

Variables

View Source 
var PromptDefDocumentNames = []string{
	PromptDefNameEntities,
}

PromptDefDocumentNames contains names for prompts that require a "document" payload to be performed.

Functions

func AppPath 

func AppPath(relativePath string) string

func AppRoot 

func AppRoot() string

func CalculateNumCtx 

func CalculateNumCtx(text string, sessionTokens int) (response int)

CalculateNumCtx computes a numerical context value based on input text length and session tokens. Minimum response value is 2048

func CountryName 

func CountryName(langTag string) string

func CountryNameOf 

func CountryNameOf(countryLang, outputLang string) string

func Download 

func Download(url string) (data []byte, err error)

func GetDirSensyPrompts 

func GetDirSensyPrompts() string

func IsDocumentPrompt 

func IsDocumentPrompt(name string) bool

IsDocumentPrompt checks if the provided name is in the list of prompt names that require a "document" payload.

func Lang 

func Lang(lang string) *nlp_detect.LanguageISO

func LangCode 

func LangCode(lang string) string

LangCode return ISO code (i.e. "it") from lang code like "ita"

func LangCodeDetect 

func LangCodeDetect(text string) string

func LangDetect 

func LangDetect(text string) *nlp_detect.LanguageISO

func LangName 

func LangName(lang string) string

LangName return ISO language name (i.e. "Italian") from a lang code like "it"

func LangNameDefOut 

func LangNameDefOut(lang string) string

func LangNameOut 

func LangNameOut(langIn, langOut string) string

func RenderMustache 

func RenderMustache(text string, context ...interface{}) (string, error)

func TempRoot 

func TempRoot() string

Types

type ActionType added in v0.3.36 

type ActionType string
const (
	ActionChat     ActionType = "chat"
	ActionGenerate ActionType = "generate"
)

type KnowledgeModeType 

type KnowledgeModeType string
const (
	ModeKnowledge KnowledgeModeType = "knowledge"
	ModeSession   KnowledgeModeType = "session"
	ModeNotebook                    = "notebook"
)

type LLMDriverCreatorOptions added in v0.3.35 

type LLMDriverCreatorOptions struct {
	Uid          string   `json:"uid"`
	PlanUid      string   `json:"plan-uid"`
	Lang         string   `json:"lang"`
	TextQuery    string   `json:"text-query"`
	TitleQuery   string   `json:"title-query"`
	CreateImage  bool     `json:"create-image"`
	ImageQuery   string   `json:"image-query"`
	ImageParams  []string `json:"image-params"`
	Tags         []string `json:"tags"`
	Categories   []string `json:"categories"`
	CreateText   bool     `json:"create-text"`
	SourceSyntax string   `json:"source-syntax"` // markdown, text
	TargetSyntax string   `json:"target-syntax"` // html
}

func NewLLMDriverCreatorOptions added in v0.3.35 

func NewLLMDriverCreatorOptions(args ...interface{}) (instance *LLMDriverCreatorOptions)

func (*LLMDriverCreatorOptions) HasSyntax added in v0.3.35 

func (instance *LLMDriverCreatorOptions) HasSyntax() bool

func (*LLMDriverCreatorOptions) Map added in v0.3.35 

func (instance *LLMDriverCreatorOptions) Map() map[string]interface{}

func (*LLMDriverCreatorOptions) String added in v0.3.35 

func (instance *LLMDriverCreatorOptions) String() string

type LLMDriverOptions added in v0.3.35 

type LLMDriverOptions struct {
	Uid            string                   `json:"uid"`         // (only for store drivers) store uid
	DriverName     string                   `json:"driver-name"` // name of the driver
	Model          string                   `json:"model"`       // name of the model
	AccessKey      string                   `json:"access-key"`  // access token
	SecretKey      string                   `json:"secret-key,omitempty"`
	OptionsCreator *LLMDriverCreatorOptions `json:"create-options,omitempty"`
	OptionsModel   *RequestOptions          `json:"model-options"` // specific AI model option
}

func NewLLMDriverOptions added in v0.3.35 

func NewLLMDriverOptions(args ...interface{}) (instance *LLMDriverOptions)

func (*LLMDriverOptions) GetAccessKey added in v0.3.35 

func (instance *LLMDriverOptions) GetAccessKey() (response string)

func (*LLMDriverOptions) GetSecretKey added in v0.3.35 

func (instance *LLMDriverOptions) GetSecretKey() (response string)

func (*LLMDriverOptions) Map added in v0.3.37 

func (instance *LLMDriverOptions) Map() map[string]interface{}

func (*LLMDriverOptions) Parse added in v0.3.37 

func (instance *LLMDriverOptions) Parse(m map[string]any) *LLMDriverOptions

func (*LLMDriverOptions) String added in v0.3.37 

func (instance *LLMDriverOptions) String() string

type LLMRequest added in v0.3.35 

type LLMRequest struct {
	// required
	Version string          `json:"version"` // application version
	Driver  string          `json:"driver"`  // name of driver
	Model   string          `json:"model"`   // ID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.
	Payload *RequestPayload `json:"payload"` // payload used to format prompts

	// optional
	SkillName  string     `json:"skill-name,omitempty"`  // (optional) used only in agents with a skill controller
	PromptName string     `json:"prompt-name,omitempty"` // (optional) used only in agents with a skill controller
	Action     ActionType `json:"action,omitempty"`      // (optional) chat, generate
	Format     string     `json:"format,omitempty"`      // (optional) json
	SessionId  string     `json:"session-id,omitempty"`  // (optional) ID of the session if any
	Context    []int      `json:"context,omitempty"`     // (optional) Previous context if any
	Images     []string   `json:"images,omitempty"`      // (optional) list of base64 encoded images

	// not exposed
	Stream StreamHandler `json:"-"` // Stream: only when stream is allowed
	// contains filtered or unexported fields
}

func NewLLMRequest added in v0.3.35 

func NewLLMRequest(messages ...interface{}) (instance *LLMRequest)

func (*LLMRequest) Add added in v0.3.35 

func (instance *LLMRequest) Add(args ...interface{}) *LLMRequest

func (*LLMRequest) AddUserMessage added in v0.3.37 

func (instance *LLMRequest) AddUserMessage(arg interface{}) *LLMRequest

func (*LLMRequest) CalcMaxTokens added in v0.3.37 

func (instance *LLMRequest) CalcMaxTokens() int

func (*LLMRequest) CalcMaxTokensMin added in v0.3.37 

func (instance *LLMRequest) CalcMaxTokensMin(min int) int

func (*LLMRequest) CalcPrompt added in v0.3.37 

func (instance *LLMRequest) CalcPrompt() (response string)

func (*LLMRequest) CalcPromptSystem added in v0.3.37 

func (instance *LLMRequest) CalcPromptSystem() (response string)

func (*LLMRequest) CalculateMaxTokens added in v0.3.38 

func (instance *LLMRequest) CalculateMaxTokens() int

func (*LLMRequest) Errors added in v0.3.35 

func (instance *LLMRequest) Errors() (response []string)

func (*LLMRequest) GetOptions added in v0.3.35 

func (instance *LLMRequest) GetOptions() (response *RequestOptions)

func (*LLMRequest) GetPrompt added in v0.3.37 

func (instance *LLMRequest) GetPrompt() (response string)

func (*LLMRequest) GetPromptSystem added in v0.3.37 

func (instance *LLMRequest) GetPromptSystem() (response string)

func (*LLMRequest) Map added in v0.3.35 

func (instance *LLMRequest) Map() (m map[string]interface{})

func (*LLMRequest) Messages added in v0.3.35 

func (instance *LLMRequest) Messages() (response []*RequestMessage)

Messages returns a list of request messages from the LLMRequest instance, with their content optionally formatted.

func (*LLMRequest) MessagesLength added in v0.3.35 

func (instance *LLMRequest) MessagesLength() (response int)

func (*LLMRequest) Parse added in v0.3.35 

func (instance *LLMRequest) Parse(m map[string]interface{}) *LLMRequest

func (*LLMRequest) Refresh added in v0.3.35 

func (instance *LLMRequest) Refresh() *LLMRequest

func (*LLMRequest) SetOptionMaxTokens added in v0.3.37 

func (instance *LLMRequest) SetOptionMaxTokens(value int) *LLMRequest

func (*LLMRequest) SetOptionMaxTokensWithLimit added in v0.3.38 

func (instance *LLMRequest) SetOptionMaxTokensWithLimit(value, limit int) *LLMRequest

func (*LLMRequest) SetOptions added in v0.3.35 

func (instance *LLMRequest) SetOptions(options *RequestOptions) *LLMRequest

func (*LLMRequest) SetPrompt added in v0.3.38 

func (instance *LLMRequest) SetPrompt(text string) *LLMRequest

SetPrompt sets the user's prompt text in the LLMRequest messages if the instance and messages are not nil and text is non-empty. This may be a "prompt" wrapper that will be formatted with the request payload. NOTE: the request payload may contain a field "user-query" that will be merged with a prompt wrapper.

func (*LLMRequest) SetPromptSystem added in v0.3.37 

func (instance *LLMRequest) SetPromptSystem(text string) *LLMRequest

func (*LLMRequest) String added in v0.3.35 

func (instance *LLMRequest) String() string

type LLMRequestContext added in v0.3.39 

type LLMRequestContext struct {
	Version string `json:"version"` // application version
	Driver  string `json:"driver"`  // name of driver (usually ollama)
	Model   string `json:"model"`   // ID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.

	Prompt string `json:"prompt"`
	// contains filtered or unexported fields
}

func NewLLMRequestContext added in v0.3.39 

func NewLLMRequestContext() (instance *LLMRequestContext)

func (*LLMRequestContext) GetOptions added in v0.3.39 

func (instance *LLMRequestContext) GetOptions() (response *RequestOptions)

func (*LLMRequestContext) Map added in v0.3.39 

func (instance *LLMRequestContext) Map() (m map[string]interface{})

func (*LLMRequestContext) String added in v0.3.39 

func (instance *LLMRequestContext) String() string

type LLMRequestEmbeddings added in v0.3.38 

type LLMRequestEmbeddings struct {
	Version string `json:"version"` // application version
	Driver  string `json:"driver"`  // name of driver
	Model   string `json:"model"`   // ID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.

	Prompt string `json:"prompt"`
	// contains filtered or unexported fields
}

func NewLLMRequestEmbeddings added in v0.3.38 

func NewLLMRequestEmbeddings() (instance *LLMRequestEmbeddings)

func (*LLMRequestEmbeddings) GetOptions added in v0.3.38 

func (instance *LLMRequestEmbeddings) GetOptions() (response *RequestOptions)

func (*LLMRequestEmbeddings) Map added in v0.3.38 

func (instance *LLMRequestEmbeddings) Map() (m map[string]interface{})

func (*LLMRequestEmbeddings) String added in v0.3.38 

func (instance *LLMRequestEmbeddings) String() string

type LLMResponse added in v0.3.35 

type LLMResponse struct {
	Version        string                   `json:"version"`
	Driver         string                   `json:"driver"`
	Model          string                   `json:"model"`
	SessionId      string                   `json:"session-id"`
	Request        map[string]interface{}   `json:"request"`          // entire original request (only for debug)
	RequestSystem  string                   `json:"request-system"`   // original request system prompt (only for debug)
	RequestUser    string                   `json:"request-user"`     // original request user prompt  (only for debug)
	Done           bool                     `json:"done"`             // used only for stream
	Elapsed        int                      `json:"elapsed"`          // milliseconds
	UserLang       string                   `json:"user-lang"`        // language used by user
	RespRaw        map[string]interface{}   `json:"resp-raw"`         // Native JSON response
	RespContext    []int                    `json:"resp-context"`     // Context generated after response
	RespText       string                   `json:"resp-text"`        // Raw text response
	RespJsonObject map[string]interface{}   `json:"resp-json-object"` // JSON response
	RespJsonArray  []map[string]interface{} `json:"resp-json-array"`  // JSON response
	RespKnowledge  []map[string]interface{} `json:"resp-knowledge"`   // knowledge used in RAG
	RespSession    map[string]interface{}   `json:"resp-session"`     // session info
	Metadata       map[string]interface{}   `json:"metadata"`         // Used for custom fields. This is an external payload containing fields like "project-id", "sku", etc...
	// contains filtered or unexported fields
}

func NewLLMResponse added in v0.3.35 

func NewLLMResponse(request *LLMRequest) (instance *LLMResponse)

func (*LLMResponse) GetMetaProjectId added in v0.3.35 

func (instance *LLMResponse) GetMetaProjectId() (response string)

GetMetaProjectId (only for NOTEBOOK) retrieves the "project-id" value from the Metadata field of the LLMResponse instance. Returns an empty string if no value is found or if the instance is nil.

func (*LLMResponse) GetMetadata added in v0.3.35 

func (instance *LLMResponse) GetMetadata() (response map[string]interface{})

GetMetadata retrieves the Metadata field of the LLMResponse instance, initializing it as an empty map if nil.

func (*LLMResponse) IsJSONResponse added in v0.3.37 

func (instance *LLMResponse) IsJSONResponse() bool

func (*LLMResponse) JSONCount added in v0.3.37 

func (instance *LLMResponse) JSONCount() int

func (*LLMResponse) JSONData added in v0.3.37 

func (instance *LLMResponse) JSONData() (response []map[string]interface{})

func (*LLMResponse) JSONForEach added in v0.3.37 

func (instance *LLMResponse) JSONForEach(iterator func(jsonItem map[string]any)) *LLMResponse

func (*LLMResponse) Map added in v0.3.35 

func (instance *LLMResponse) Map() (response map[string]interface{})

func (*LLMResponse) SetMetaProjectId added in v0.3.35 

func (instance *LLMResponse) SetMetaProjectId(value string) *LLMResponse

SetMetaProjectId (only for NOTEBOOK) sets the "project-id" value within the Metadata field of the LLMResponse instance and returns the instance.

func (*LLMResponse) SetRequest added in v0.3.35 

func (instance *LLMResponse) SetRequest(request *LLMRequest) *LLMResponse

SetRequest associates an LLMRequest with the LLMResponse instance and updates relevant fields like Model and UserLang.

func (*LLMResponse) SetResponse added in v0.3.35 

func (instance *LLMResponse) SetResponse(rawResponse map[string]interface{}) *LLMResponse

SetResponse updates the LLMResponse instance with the provided raw response data and marks the operation as complete.

func (*LLMResponse) SetTextResponse added in v0.3.37 

func (instance *LLMResponse) SetTextResponse(value string) *LLMResponse

func (*LLMResponse) String added in v0.3.35 

func (instance *LLMResponse) String() string

type OptionsAgent added in v0.3.38 

type OptionsAgent struct {
	Name              string              `json:"name"`
	AutoCalcMaxTokens bool                `json:"auto-calc-max-tokens"`
	LimitMaxTokens    int                 `json:"limit-max-tokens"` // maximum number of tokens allowed in this agent
	Drivers           []*LLMDriverOptions `json:"drivers"`
}

func NewOptionsAgent added in v0.3.38 

func NewOptionsAgent() (instance *OptionsAgent)

func (*OptionsAgent) AddDriver added in v0.3.38 

func (instance *OptionsAgent) AddDriver(item *LLMDriverOptions)

func (*OptionsAgent) ContainsDriver added in v0.3.38 

func (instance *OptionsAgent) ContainsDriver(uid string) bool

func (*OptionsAgent) Map added in v0.3.38 

func (instance *OptionsAgent) Map() map[string]interface{}

func (*OptionsAgent) String added in v0.3.38 

func (instance *OptionsAgent) String() string

type RequestMessage added in v0.3.37 

type RequestMessage struct {
	Role    string   `json:"role"`              // the role of the message, either system, user or assistant
	Content string   `json:"content,omitempty"` // the content of the message
	Images  []string `json:"images,omitempty"`  // (optional) a list of base64-encoded images (for multimodal models such as llava)
}

RequestMessage ollama standard chat message

func NewAIMessageAssistant added in v0.3.35 

func NewAIMessageAssistant() *RequestMessage

func NewAIMessageSystem added in v0.3.35 

func NewAIMessageSystem() *RequestMessage

func NewAIMessageUser added in v0.3.35 

func NewAIMessageUser() *RequestMessage

func (*RequestMessage) Clone added in v0.3.37 

func (instance *RequestMessage) Clone() (response *RequestMessage)

func (*RequestMessage) Length added in v0.3.37 

func (instance *RequestMessage) Length() int

func (*RequestMessage) Map added in v0.3.37 

func (instance *RequestMessage) Map() (response map[string]interface{})

func (*RequestMessage) SetContent added in v0.3.37 

func (instance *RequestMessage) SetContent(value string) *RequestMessage

func (*RequestMessage) String added in v0.3.37 

func (instance *RequestMessage) String() string

type RequestMessageList added in v0.3.37 

type RequestMessageList struct {
	// contains filtered or unexported fields
}

func NewMessageList added in v0.3.35 

func NewMessageList(args ...interface{}) (instance *RequestMessageList)

func (*RequestMessageList) Add added in v0.3.37 

func (instance *RequestMessageList) Add(item *RequestMessage) *RequestMessageList

func (*RequestMessageList) Count added in v0.3.37 

func (instance *RequestMessageList) Count() (response int)

Count returns the number of non-nil elements in the RequestMessageList.

func (*RequestMessageList) ForEach added in v0.3.37 

func (instance *RequestMessageList) ForEach(f func(item *RequestMessage) any)

func (*RequestMessageList) GetSystem added in v0.3.37 

func (instance *RequestMessageList) GetSystem() (response *RequestMessage)

func (*RequestMessageList) GetUser added in v0.3.37 

func (instance *RequestMessageList) GetUser() (response *RequestMessage)

func (*RequestMessageList) Length added in v0.3.37 

func (instance *RequestMessageList) Length() (response int)

Length calculates the total length of the content across all non-nil RequestMessage objects in the list.

func (*RequestMessageList) Map added in v0.3.37 

func (instance *RequestMessageList) Map() (response []map[string]interface{})

func (*RequestMessageList) SetSystem added in v0.3.37 

func (instance *RequestMessageList) SetSystem(text string) *RequestMessageList

func (*RequestMessageList) SetUser added in v0.3.37 

func (instance *RequestMessageList) SetUser(text string, images ...string) *RequestMessageList

func (*RequestMessageList) String added in v0.3.37 

func (instance *RequestMessageList) String() string

type RequestOptions added in v0.3.37 

type RequestOptions struct {
	// optionals useful
	N           int     `json:"n,omitempty"`           // Default 1. How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep n as 1 to minimize costs.
	MaxTokens   int     `json:"max_tokens,omitempty"`  // The maximum number of tokens that can be generated in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length
	Temperature float32 `json:"temperature,omitempty"` // Default 1. What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.  We generally recommend altering this or top_p but not both.
	TopP        float32 `json:"top_p,omitempty"`       // Default 1. An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.
	User        string  `json:"user,omitempty"`        // A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse

	// optionals
	FrequencyPenalty int                    `json:"frequency_penalty,omitempty"` // Default 0. Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
	LogitBias        map[string]interface{} `json:"logit_bias,omitempty"`        // Modify the likelihood of specified tokens appearing in the completion. Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
	LogProbs         bool                   `json:"logprobs,omitempty"`          // Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message. This option is currently not available on the gpt-4-vision-preview model.
	TopLogProbs      int                    `json:"top_logprobs,omitempty"`      // An integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.
	PresencePenalty  float32                `json:"presence_penalty,omitempty"`  // Default 0.Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
	Seed             string                 `json:"seed,omitempty"`              // This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.
	Stop             string                 `json:"stop,omitempty"`              // string / array / null. Up to 4 sequences where the API will stop generating further tokens.
	Stream           bool                   `json:"stream,omitempty"`            // If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message
	Tools            []interface{}          `json:"tools,omitempty"`             // A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for.
	ToolChoice       interface{}            `json:"tool_choice,omitempty"`       // Controls which (if any) function is called by the model. none means the model will not call a function and instead generates a message. auto means the model can pick between generating a message or calling a function. Specifying a particular function via {"type": "function", "function": {"name": "my_function"}} forces the model to call that function. none is the default when no functions are present. auto is the default if functions are present

}

func NewModelOptions added in v0.3.35 

func NewModelOptions() (instance *RequestOptions)

func (*RequestOptions) Map added in v0.3.37 

func (instance *RequestOptions) Map() map[string]interface{}

func (*RequestOptions) String added in v0.3.37 

func (instance *RequestOptions) String() string

type RequestPayload added in v0.3.37 

type RequestPayload struct {
	Lang              string `json:"lang"`       // user lang
	UserQuery         string `json:"user-query"` // request of the user
	PromptLang        string `json:"prompt-lang"`
	FromLang          string `json:"from-lang"`
	ToLang            string `json:"to-lang"`
	Today             string `json:"today"`
	Now               string `json:"now"`
	LangCountryPrompt string `json:"lang-country-prompt"`
	RAGContext        any    `json:"context,omitempty"` // (optional) some context for prompts that need a limited knowledge for response (ex: RAG)
}

func NewRequestPayload added in v0.3.37 

func NewRequestPayload(args ...any) (instance *RequestPayload)

func (*RequestPayload) Format added in v0.3.37 

func (instance *RequestPayload) Format(text string) (response string)

func (*RequestPayload) Map added in v0.3.37 

func (instance *RequestPayload) Map() (response map[string]interface{})

func (*RequestPayload) Parse added in v0.3.37 

func (instance *RequestPayload) Parse(value any) bool

func (*RequestPayload) RAGContextAppendItems added in v0.3.38 

func (instance *RequestPayload) RAGContextAppendItems(items ...any) *RequestPayload

func (*RequestPayload) RAGContextSetItems added in v0.3.38 

func (instance *RequestPayload) RAGContextSetItems(items ...any) *RequestPayload

func (*RequestPayload) SetLang added in v0.3.37 

func (instance *RequestPayload) SetLang(value string) *RequestPayload

func (*RequestPayload) String added in v0.3.37 

func (instance *RequestPayload) String() string

type StreamHandler added in v0.3.36 

type StreamHandler func(data []byte)

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