agents

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

type DeepResearchClarifierInput struct {
	Now          string `json:"now"`
	Conversation string `json:"conversation"`
	Memory       string `json:"memory"`
}

type DeepResearchClarifierOps struct {

	// Injected variables: ${language}
	SystemMessagePrompt string

	// Injected variables: ${now} ${conversation}, ${memory}
	UserMessagePrompt string
	// contains filtered or unexported fields
}

type DeepResearchClarifierOutput struct {
	Title       string `json:"title"`
	Description string `json:"description"`
}

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

type ExecutiveSummaryWriterInput struct {
	Report  string `json:"report"`
	Context string `json:"context"`
}

type ExecutiveSummaryWriterOutput struct {
	Summary string `json:"summary"`
}

type ExtractFieldSpec struct {
	Name        string `json:"name"`
	Description string `json:"description"`
	Example     string `json:"example"`
}

type ExtractFieldSpecs []ExtractFieldSpec

type Material struct {
	Content string `json:"content"`
	Source  string `json:"source"`
}

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

type MaterialExtractInput struct {
	Context   string             `json:"context"`
	Materials []Material         `json:"materials"`
	Fields    []ExtractFieldSpec `json:"fields"`
	// contains filtered or unexported fields
}

type MaterialExtractOps struct {

	// Injected variables: ${context}, ${language}, ${now}
	SystemMessagePrompt string

	// Injected variables: ${materials}, ${fields}, ${extractedInfo}
	UserMessagePrompt string

	TimeZoneHourOffset float64
	// contains filtered or unexported fields
}

type MaterialExtractOutput struct {
	ExtractedInfo map[string]string `json:"extractedInfo"`
}

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

type MemorySummarizerInput struct {
	LongTermMemory     string `json:"longTermMemory"`
	RecentConversation string `json:"recentConversation"`
}

type MemorySummarizerOps struct {

	// Injected variables: ${language}
	SystemMessagePrompt string

	// Injected variables: ${context}, ${report}
	UserMessagePrompt string
	// contains filtered or unexported fields
}

type MemorySummarizerOutput struct {
	Summary string `json:"summary"`
}

type ModelNamer interface {
	ModelName() string
}

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

type OpenAIChatModelOpt = func(o *openAiModelConfig)

type Rule struct {
	Name    string `json:"name"`
	Content string `json:"content"`
}

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

type RuleMatcherInput struct {
	// Additional instruction about the task
	//
	// How should LLM make decision on whether the target matches the given rule or not.
	TaskInstruction string `json:"taskInstruction"`

	// context about the target
	//
	// e.g., if we are running a background check for a company, the context will be the information about the company.
	Context string `json:"context"`

	// Rules
	Rules []Rule `json:"Rules"`
	// contains filtered or unexported fields
}

type RuleMatcherOps struct {

	// Injected variables: ${taskInstruction}, ${language}, ${now}
	SystemMessagePrompt string

	// Injected variables: ${rule}, ${context}
	UserMessagePrompt string

	TimeZoneHourOffset float64
	// contains filtered or unexported fields
}

type RuleMatcherOutput struct {
	Rules []RuleResult `json:"rules"`
}

type RuleResult struct {
	Matched bool   `json:"matched"`
	Name    string `json:"name"`
	Reason  string `json:"reason"`
}