ai

type AugmentWithContextOptions struct {
	Preface      *string                                                                // Preceding text to place before the rendered context documents.
	ItemTemplate func(d Document, index int, options *AugmentWithContextOptions) string // A function to render a document into a text part to be included in the message.
	CitationKey  *string                                                                // Metadata key to use for citation reference. Pass `nil` to provide no citations.
}

type BaseDataPoint struct {
	Context    map[string]any `json:"context,omitempty"`
	Input      map[string]any `json:"input,omitempty"`
	Output     map[string]any `json:"output,omitempty"`
	Reference  map[string]any `json:"reference,omitempty"`
	TestCaseID string         `json:"testCaseId,omitempty"`
	TraceIDs   []string       `json:"traceIds,omitempty"`
}

type BaseEvalDataPoint struct {
	Context    map[string]any `json:"context,omitempty"`
	Input      map[string]any `json:"input,omitempty"`
	Output     map[string]any `json:"output,omitempty"`
	Reference  map[string]any `json:"reference,omitempty"`
	TestCaseID string         `json:"testCaseId,omitempty"`
	TraceIDs   []string       `json:"traceIds,omitempty"`
}

type CandidateError struct {
	Code    CandidateErrorCode `json:"code,omitempty"`
	Index   float64            `json:"index,omitempty"`
	Message string             `json:"message,omitempty"`
}

type CandidateErrorCode string

type CommonOption interface {
	// contains filtered or unexported methods
}

type CommonRerankerOptions struct {
	// Number of documents to rerank
	K float64 `json:"k,omitempty"`
}

type CommonRetrieverOptions struct {
	// Number of documents to retrieve
	K float64 `json:"k,omitempty"`
}

type ConstrainedSupport string

type Dataset = []Example

type Document struct {
	// The data that is part of this document.
	Content []*Part `json:"content,omitempty"`
	// The metadata for this document.
	Metadata map[string]any `json:"metadata,omitempty"`
}

type DocumentEmbedding struct {
	// The vector for the embedding.
	Embedding []float32 `json:"embedding"`
}

type DownloadMediaOptions struct {
	MaxBytes int64                 // Maximum number of bytes to download.
	Filter   func(part *Part) bool // Filter to apply to parts that are media URLs.
}

type EmbedOption func(req *EmbedRequest) error

type EmbedRequest struct {
	Documents []*Document `json:"input"`
	Options   any         `json:"options,omitempty"`
}

type EmbedResponse struct {
	// One embedding for each Document in the request, in the same order.
	Embeddings []*DocumentEmbedding `json:"embeddings"`
}

type Embedder interface {
	// Name returns the registry name of the embedder.
	Name() string
	// Embed embeds to content as part of the [EmbedRequest].
	Embed(ctx context.Context, req *EmbedRequest) (*EmbedResponse, error)
}

type Embedding struct {
	Embedding []float64      `json:"embedding,omitempty"`
	Metadata  map[string]any `json:"metadata,omitempty"`
}

type EvalFnResponse struct {
	Evaluation  any     `json:"evaluation,omitempty"`
	SampleIndex float64 `json:"sampleIndex,omitempty"`
	SpanID      string  `json:"spanId,omitempty"`
	TestCaseID  string  `json:"testCaseId,omitempty"`
	TraceID     string  `json:"traceId,omitempty"`
}

type EvalRequest struct {
	Dataset   []*BaseDataPoint `json:"dataset,omitempty"`
	EvalRunID string           `json:"evalRunId,omitempty"`
	Options   any              `json:"options,omitempty"`
}

type EvalResponse []any

type EvalStatusEnum string

type EvaluateOption func(req *EvaluatorRequest) error

type EvaluationResult struct {
	TestCaseId string  `json:"testCaseId"`
	TraceID    string  `json:"traceId,omitempty"`
	SpanID     string  `json:"spanId,omitempty"`
	Evaluation []Score `json:"evaluation"`
}

type Evaluator interface {
	// Name returns the name of the evaluator.
	Name() string
	// Evaluates a dataset.
	Evaluate(ctx context.Context, req *EvaluatorRequest) (*EvaluatorResponse, error)
}

type EvaluatorCallbackRequest struct {
	Input   Example `json:"input"`
	Options any     `json:"options,omitempty"`
}

type EvaluatorCallbackResponse = EvaluationResult

type EvaluatorOptions struct {
	DisplayName string `json:"displayName"`
	Definition  string `json:"definition"`
	IsBilled    bool   `json:"isBilled,omitempty"`
}

type EvaluatorRequest struct {
	Dataset      *Dataset `json:"dataset"`
	EvaluationId string   `json:"evalRunId"`
	Options      any      `json:"options,omitempty"`
}

type EvaluatorResponse = []EvaluationResult

type Example struct {
	TestCaseId string   `json:"testCaseId,omitempty"`
	Input      any      `json:"input"`
	Output     any      `json:"output,omitempty"`
	Context    []any    `json:"context,omitempty"`
	Reference  any      `json:"reference,omitempty"`
	TraceIds   []string `json:"traceIds,omitempty"`
}

type ExecutionOption interface {
	// contains filtered or unexported methods
}

type FinishReason string

type GenerateActionOptions struct {
	Config             any                         `json:"config,omitempty"`
	Docs               []*Document                 `json:"docs,omitempty"`
	MaxTurns           int                         `json:"maxTurns,omitempty"`
	Messages           []*Message                  `json:"messages,omitempty"`
	Model              string                      `json:"model,omitempty"`
	Output             *GenerateActionOutputConfig `json:"output,omitempty"`
	Resume             *GenerateActionResume       `json:"resume,omitempty"`
	ReturnToolRequests bool                        `json:"returnToolRequests,omitempty"`
	ToolChoice         ToolChoice                  `json:"toolChoice,omitempty"`
	Tools              []string                    `json:"tools,omitempty"`
}

type GenerateActionOutputConfig struct {
	Constrained  bool           `json:"constrained,omitempty"`
	ContentType  string         `json:"contentType,omitempty"`
	Format       string         `json:"format,omitempty"`
	Instructions string         `json:"instructions,omitempty"`
	JsonSchema   map[string]any `json:"jsonSchema,omitempty"`
}

type GenerateActionResume struct {
	Metadata map[string]any      `json:"metadata,omitempty"`
	Respond  []*toolResponsePart `json:"respond,omitempty"`
	Restart  []*toolRequestPart  `json:"restart,omitempty"`
}

type GenerateOption interface {
	// contains filtered or unexported methods
}

type GenerationCommonConfig struct {
	MaxOutputTokens int      `json:"maxOutputTokens,omitempty"`
	StopSequences   []string `json:"stopSequences,omitempty"`
	Temperature     float64  `json:"temperature,omitempty"`
	TopK            int      `json:"topK,omitempty"`
	TopP            float64  `json:"topP,omitempty"`
	Version         string   `json:"version,omitempty"`
}

type GenerationUsage struct {
	Custom           map[string]float64 `json:"custom,omitempty"`
	InputAudioFiles  float64            `json:"inputAudioFiles,omitempty"`
	InputCharacters  int                `json:"inputCharacters,omitempty"`
	InputImages      int                `json:"inputImages,omitempty"`
	InputTokens      int                `json:"inputTokens,omitempty"`
	InputVideos      float64            `json:"inputVideos,omitempty"`
	OutputAudioFiles float64            `json:"outputAudioFiles,omitempty"`
	OutputCharacters int                `json:"outputCharacters,omitempty"`
	OutputImages     int                `json:"outputImages,omitempty"`
	OutputTokens     int                `json:"outputTokens,omitempty"`
	OutputVideos     float64            `json:"outputVideos,omitempty"`
	TotalTokens      int                `json:"totalTokens,omitempty"`
}

type GenkitError struct {
	Data    *GenkitErrorData `json:"data,omitempty"`
	Details any              `json:"details,omitempty"`
	Message string           `json:"message,omitempty"`
	Stack   string           `json:"stack,omitempty"`
}

type GenkitErrorData struct {
	GenkitErrorDetails *GenkitErrorDetails `json:"genkitErrorDetails,omitempty"`
	GenkitErrorMessage string              `json:"genkitErrorMessage,omitempty"`
}

type GenkitErrorDetails struct {
	Stack   string `json:"stack,omitempty"`
	TraceID string `json:"traceId,omitempty"`
}

type Indexer interface {
	// Name returns the name of the indexer.
	Name() string
	// Index executes the indexing request.
	Index(ctx context.Context, req *IndexerRequest) error
}

type IndexerOption func(req *IndexerRequest) error

type IndexerRequest struct {
	Documents []*Document `json:"documents"`
	Options   any         `json:"options,omitempty"`
}

type InterruptOptions struct {
	Metadata map[string]any
}

type Media struct {
	ContentType string `json:"contentType,omitempty"`
	Url         string `json:"url,omitempty"`
}

type Message struct {
	Content  []*Part        `json:"content,omitempty"`
	Metadata map[string]any `json:"metadata,omitempty"`
	Role     Role           `json:"role,omitempty"`
}

type Model interface {
	// Name returns the registry name of the model.
	Name() string
	// Generate applies the [Model] to provided request, handling tool requests and handles streaming.
	Generate(ctx context.Context, req *ModelRequest, cb ModelStreamCallback) (*ModelResponse, error)
}

type ModelAction = core.ActionDef[*ModelRequest, *ModelResponse, *ModelResponseChunk]

type ModelFunc = core.StreamingFunc[*ModelRequest, *ModelResponse, *ModelResponseChunk]

type ModelInfo struct {
	Label    string         `json:"label,omitempty"`
	Stage    ModelStage     `json:"stage,omitempty"`
	Supports *ModelSupports `json:"supports,omitempty"`
	Versions []string       `json:"versions,omitempty"`
}

type ModelMiddleware = core.Middleware[*ModelRequest, *ModelResponse, *ModelResponseChunk]

type ModelOutputConfig struct {
	Constrained  bool           `json:"constrained,omitempty"`
	ContentType  string         `json:"contentType,omitempty"`
	Format       string         `json:"format,omitempty"`
	Instructions string         `json:"instructions,omitempty"`
	Schema       map[string]any `json:"schema,omitempty"`
}

type ModelRequest struct {
	Config   any         `json:"config,omitempty"`
	Docs     []*Document `json:"docs,omitempty"`
	Messages []*Message  `json:"messages,omitempty"`
	// Output describes the desired response format.
	Output     *ModelOutputConfig `json:"output,omitempty"`
	ToolChoice ToolChoice         `json:"toolChoice,omitempty"`
	// Tools lists the available tools that the model can ask the client to run.
	Tools []*ToolDefinition `json:"tools,omitempty"`
}

type ModelResponse struct {
	Custom        any          `json:"custom,omitempty"`
	FinishMessage string       `json:"finishMessage,omitempty"`
	FinishReason  FinishReason `json:"finishReason,omitempty"`
	// LatencyMs is the time the request took in milliseconds.
	LatencyMs float64  `json:"latencyMs,omitempty"`
	Message   *Message `json:"message,omitempty"`
	// Request is the [ModelRequest] struct used to trigger this response.
	Request *ModelRequest `json:"request,omitempty"`
	// Usage describes how many resources were used by this generation request.
	Usage *GenerationUsage `json:"usage,omitempty"`
}

type ModelResponseChunk struct {
	Aggregated bool    `json:"aggregated,omitempty"`
	Content    []*Part `json:"content,omitempty"`
	Custom     any     `json:"custom,omitempty"`
	Index      int     `json:"index,omitempty"`
	Role       Role    `json:"role,omitempty"`
}

type ModelStage string

type ModelStreamCallback = func(context.Context, *ModelResponseChunk) error

type ModelSupports struct {
	Constrained ConstrainedSupport `json:"constrained,omitempty"`
	ContentType []string           `json:"contentType,omitempty"`
	Context     bool               `json:"context,omitempty"`
	Media       bool               `json:"media,omitempty"`
	Multiturn   bool               `json:"multiturn,omitempty"`
	Output      []string           `json:"output,omitempty"`
	SystemRole  bool               `json:"systemRole,omitempty"`
	ToolChoice  bool               `json:"toolChoice,omitempty"`
	Tools       bool               `json:"tools,omitempty"`
}

type OutputFormat string

type OutputOption interface {
	// contains filtered or unexported methods
}

type Part struct {
	Kind         PartKind       `json:"kind,omitempty"`
	ContentType  string         `json:"contentType,omitempty"`  // valid for kind==blob
	Text         string         `json:"text,omitempty"`         // valid for kind∈{text,blob}
	ToolRequest  *ToolRequest   `json:"toolRequest,omitempty"`  // valid for kind==partToolRequest
	ToolResponse *ToolResponse  `json:"toolResponse,omitempty"` // valid for kind==partToolResponse
	Metadata     map[string]any `json:"metadata,omitempty"`     // valid for all kinds
}

type PartKind int8

type PathMetadata struct {
	Error   string  `json:"error,omitempty"`
	Latency float64 `json:"latency,omitempty"`
	Path    string  `json:"path,omitempty"`
	Status  string  `json:"status,omitempty"`
}

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

type PromptGenerateOption interface {
	// contains filtered or unexported methods
}

type PromptOption interface {
	// contains filtered or unexported methods
}

type PromptingOption interface {
	// contains filtered or unexported methods
}

type RankedDocumentData struct {
	Content  []*Part                 `json:"content,omitempty"`
	Metadata *RankedDocumentMetadata `json:"metadata,omitempty"`
}

type RankedDocumentMetadata struct {
	Score float64 `json:"score,omitempty"`
}

type RerankerRequest struct {
	Documents []*Document `json:"documents,omitempty"`
	Options   any         `json:"options,omitempty"`
	Query     *Document   `json:"query,omitempty"`
}

type RerankerResponse struct {
	Documents []*RankedDocumentData `json:"documents,omitempty"`
}

type RetrieveOption func(req *RetrieverRequest) error

type Retriever interface {
	// Name returns the name of the retriever.
	Name() string
	// Retrieve retrieves the documents.
	Retrieve(ctx context.Context, req *RetrieverRequest) (*RetrieverResponse, error)
}

type RetrieverRequest struct {
	Query   *Document `json:"query"`
	Options any       `json:"options,omitempty"`
}

type RetrieverResponse struct {
	Documents []*Document `json:"documents"`
}

type Role string

type Score struct {
	Id      string         `json:"id,omitempty"`
	Score   any            `json:"score,omitempty"`
	Status  string         `json:"status,omitempty" jsonschema:"enum=unknown,enum=fail,enum=pass"`
	Error   string         `json:"error,omitempty"`
	Details map[string]any `json:"details,omitempty"`
}

type ScoreDetails struct {
	Reasoning string `json:"reasoning,omitempty"`
}

type ScoreStatus int

type Tool interface {
	// Name returns the name of the tool.
	Name() string
	// Definition returns ToolDefinition for for this tool.
	Definition() *ToolDefinition
	// RunRaw runs this tool using the provided raw input.
	RunRaw(ctx context.Context, input any) (any, error)
}

type ToolChoice string

type ToolConfig struct {
	MaxTurns           int  // Maximum number of tool call iterations before erroring.
	ReturnToolRequests bool // Whether to return tool requests instead of making the tool calls and continuing the generation.
}

type ToolContext struct {
	context.Context
	Interrupt func(opts *InterruptOptions) error
}

type ToolDef[In, Out any] struct {
	// contains filtered or unexported fields
}

type ToolDefinition struct {
	Description string `json:"description,omitempty"`
	// Valid JSON Schema representing the input of the tool.
	InputSchema map[string]any `json:"inputSchema,omitempty"`
	// additional metadata for this tool definition
	Metadata map[string]any `json:"metadata,omitempty"`
	Name     string         `json:"name,omitempty"`
	// Valid JSON Schema describing the output of the tool.
	OutputSchema map[string]any `json:"outputSchema,omitempty"`
}

type ToolInterruptError struct {
	Metadata map[string]any
}

type ToolName string

type ToolRef interface {
	Name() string
}

type ToolRequest struct {
	// Input is a JSON object describing the input values to the tool.
	// An example might be map[string]any{"country":"USA", "president":3}.
	Input any    `json:"input,omitempty"`
	Name  string `json:"name,omitempty"`
	Ref   string `json:"ref,omitempty"`
}

type ToolResponse struct {
	Name string `json:"name,omitempty"`
	// Output is a JSON object describing the results of running the tool.
	// An example might be map[string]any{"name":"Thomas Jefferson", "born":1743}.
	Output any    `json:"output,omitempty"`
	Ref    string `json:"ref,omitempty"`
}

type TraceMetadata struct {
	FeatureName string          `json:"featureName,omitempty"`
	Paths       []*PathMetadata `json:"paths,omitempty"`
	Timestamp   float64         `json:"timestamp,omitempty"`
}