chatmodel

type BaseClarificationResult struct {
	Confidence    string `` /* 155-byte string literal not displayed */
	Clarification string `` /* 205-byte string literal not displayed */
	Reasoning     string `` /* 128-byte string literal not displayed */
}

type ChatContext interface {
	// GetTenantID retrieves the tenant ID from the context
	GetTenantID() string
	// GetChatID retrieves the chat ID from the context
	GetChatID() string
	// AppData returns immutable app data
	AppData() any
	// GetMetadata retrieves metadata by key
	GetMetadata(key string) (value any, ok bool)
	// SetMetadata sets metadata by key
	SetMetadata(key string, value any)
}

type ContentProvider interface {
	// GetContent gets the content of the message for the chat history
	GetContent() string
}

type FewShotExample struct {
	Prompt     string
	Completion string
}

type FewShotExamples []FewShotExample

type Input struct {
	// Content is the chat message sent by the user to the assistant.
	Content string `json:"Content" yaml:"Content" jsonschema:"title=Content,description=The chat message sent by the user to the assistant."`
}

type Output struct {
	// contains the markdown-enabled response generated by the chat agent.
	Content string `` /* 132-byte string literal not displayed */
}

type OutputParser[T any] interface {
	// Parse parses the output of an LLM call.
	Parse(text string) (*T, error)
	// ParseWithPrompt parses the output of an LLM call with the prompt used.
	ParseWithPrompt(text string, prompt llms.PromptValue) (*T, error)
	// GetFormatInstructions returns a string describing the format of the output.
	GetFormatInstructions() string
	// Type returns the string type key uniquely identifying this class of parser
	Type() string
}

type Stringer interface {
	String() string
}