AFFiNE-Mirror/packages/backend/native/index.d.ts

/* auto-generated by NAPI-RS */
/* eslint-disable */
export declare class LlmStreamHandle {
  abort(): void
}

export declare class Tokenizer {
  count(content: string, allowedSpecial?: Array<string> | undefined | null): number
}

export interface ActionEvent {
  type: ActionEventType
  actionId: string
  actionVersion: string
  stepId?: string
  status?: ActionRunStatus
  attachment?: any
  result?: any
  errorCode?: string
  errorMessage?: string
  trace?: ActionTrace
}

export type ActionEventType =  'action_start'|
'step_start'|
'attachment'|
'step_end'|
'action_done'|
'error';

export type ActionRunStatus =  'created'|
'running'|
'succeeded'|
'failed'|
'aborted';

export interface ActionRuntimeInput {
  recipeId: string
  recipeVersion?: string
  input: any
}

export interface ActionTrace {
  actionId: string
  actionVersion: string
  status: ActionRunStatus
  lightweight: Array<any>
  errorCode?: string
}

/**
 * Adds a document ID to the workspace root doc's meta.pages array.
 * This registers the document in the workspace so it appears in the UI.
 *
 * # Arguments
 * * `root_doc_bin` - The current root doc binary (workspaceId doc)
 * * `doc_id` - The document ID to add
 * * `title` - Optional title for the document
 *
 * # Returns
 * A Buffer containing the y-octo update binary to apply to the root doc
 */
export declare function addDocToRootDoc(rootDocBin: Buffer, docId: string, title?: string | undefined | null): Buffer

export const AFFINE_PRO_LICENSE_AES_KEY: string | undefined | null

export const AFFINE_PRO_PUBLIC_KEY: string | undefined | null

export declare function buildPublicRootDoc(rootDocBin: Buffer, docMetas: Array<PublicDocMetaInput>): Buffer

export interface BuiltInPromptRenderContract {
  name: string
  renderParams: Record<string, any>
}

export interface BuiltInPromptSessionContract {
  name: string
  turns: Array<PromptMessageContract>
  renderParams: Record<string, any>
  maxTokenSize: number
}

export interface BuiltInPromptSpec {
  name: string
  action?: string
  model: string
  optionalModels?: Array<string>
  config?: any
  params?: Record<string, PromptParamSpec>
  builtins?: Array<PromptBuiltin>
  messages: Array<PromptSpecMessage>
}

export interface CanonicalChatRequestContract {
  model: string
  messages: Array<PromptMessageContract>
  maxTokens?: number
  temperature?: number
  tools?: Array<ToolContract>
  include?: Array<string>
  reasoning?: any
  responseSchema?: any
  attachmentCapability?: CapabilityAttachmentContract
  middleware?: any
}

export interface CanonicalStructuredRequestContract {
  model: string
  messages: Array<PromptMessageContract>
  schema?: any
  maxTokens?: number
  temperature?: number
  reasoning?: any
  strict?: boolean
  responseMimeType?: string
  attachmentCapability?: CapabilityAttachmentContract
  middleware?: any
}

export interface CapabilityAttachmentContract {
  kinds: Array<'image' | 'audio' | 'file'>
  sourceKinds?: Array<'url' | 'data' | 'bytes' | 'file_handle'>
  allowRemoteUrls?: boolean
}

export interface CapabilityMatchRequest {
  models: Array<CapabilityModelContract>
  cond: ModelConditionsContract
}

export interface CapabilityMatchResponse {
  modelId?: string
}

export interface CapabilityModelCapability {
  input: Array<'text' | 'image' | 'audio' | 'file'>
  output: Array<'text' | 'image' | 'object' | 'structured' | 'embedding' | 'rerank'>
  attachments?: CapabilityAttachmentContract
  structuredAttachments?: CapabilityAttachmentContract
  defaultForOutputType?: boolean
}

export interface CapabilityModelContract {
  id: string
  capabilities: Array<CapabilityModelCapability>
}

export interface Chunk {
  index: number
  content: string
}

/**
 * Converts markdown content to AFFiNE-compatible y-octo document binary.
 *
 * # Arguments
 * * `title` - The document title
 * * `markdown` - The markdown content to convert
 * * `doc_id` - The document ID to use for the y-octo doc
 *
 * # Returns
 * A Buffer containing the y-octo document update binary
 */
export declare function createDocWithMarkdown(title: string, markdown: string, docId: string): Buffer

export declare function fromModelName(modelName: string): Tokenizer | null

export declare function getMime(input: Uint8Array): string

export declare function htmlSanitize(input: string): string

export declare function llmBuildCanonicalRequest(request: CanonicalChatRequestContract): LlmRequestContract

export declare function llmBuildCanonicalStructuredRequest(request: CanonicalStructuredRequestContract): LlmStructuredRequestContract

export declare function llmBuildEmbeddingRequest(request: LlmEmbeddingRequestContract): LlmEmbeddingRequestContract

export declare function llmBuildImageRequestFromMessages(request: LlmImageRequestBuildContract): LlmImageRequestContract

export declare function llmBuildRerankRequest(request: LlmRerankRequestContract): LlmRerankRequestContract

export declare function llmCanonicalJsonSchemaHash(schema: any): string

export declare function llmCollectPromptMetadata(request: PromptMetadataContract): PromptMetadataResult

export declare function llmCompileExecutionPlan(value: any): any

export interface LlmCoreMessage {
  role: string
  content: Array<any>
}

export declare function llmCountPromptTokens(request: PromptTokenCountContract): PromptTokenCountResult

export declare function llmDispatchPrepared(routesJson: string): Promise<string>

export declare function llmDispatchPreparedStream(routesJson: string, callback: ((err: Error | null, arg: string) => void)): LlmStreamHandle

export declare function llmDispatchToolLoopStream(protocol: string, backendConfigJson: string, requestJson: string, maxSteps: number, callback: ((err: Error | null, arg: string) => void), toolCallback: ((err: Error | null, arg: string) => Promise<string>)): LlmStreamHandle

export declare function llmDispatchToolLoopStreamPrepared(routesJson: string, maxSteps: number, callback: ((err: Error | null, arg: string) => void), toolCallback: ((err: Error | null, arg: string) => Promise<string>)): LlmStreamHandle

export declare function llmDispatchToolLoopStreamRouted(routesJson: string, requestJson: string, maxSteps: number, callback: ((err: Error | null, arg: string) => void), toolCallback: ((err: Error | null, arg: string) => Promise<string>)): LlmStreamHandle

export declare function llmEmbeddingDispatch(protocol: string, backendConfigJson: string, requestJson: string): Promise<string>

export declare function llmEmbeddingDispatchPrepared(routesJson: string): Promise<string>

export interface LlmEmbeddingRequestContract {
  model: string
  inputs: Array<string>
  dimensions?: number
  taskType?: string
}

export declare function llmGetBuiltInPromptSpec(name: string): BuiltInPromptSpec | null

export declare function llmGetContractSchema(name: string): any

export declare function llmImageDispatchPrepared(routesJson: string): Promise<string>

export interface LlmImageInputContract {
  kind: 'url' | 'data' | 'bytes'
  url?: string
  dataBase64?: string
  data?: Array<number>
  mediaType?: string
  fileName?: string
}

export interface LlmImageOptionsContract {
  n?: number
  size?: string
  aspectRatio?: string
  quality?: string
  outputFormat?: 'png' | 'jpeg' | 'webp'
  outputCompression?: number
  background?: string
  seed?: number
}

export interface LlmImageProviderOptionsContract {
  provider: 'openai' | 'gemini' | 'fal' | 'extra'
  options?: {
    input_fidelity?: string;
    response_modalities?: string[];
    model_name?: string;
    image_size?: unknown;
    aspect_ratio?: string;
    num_images?: number;
    enable_safety_checker?: boolean;
    output_format?: 'jpeg' | 'png' | 'webp';
    sync_mode?: boolean;
    enable_prompt_expansion?: boolean;
    loras?: unknown;
    controlnets?: unknown;
    extra?: unknown;
    } | unknown
  }

export interface LlmImageRequestBuildContract {
  model: string
  protocol: 'openai_chat' | 'openai_responses' | 'openai_images' | 'anthropic' | 'gemini' | 'fal_image'
  messages: Array<PromptMessageContract>
  options?: any
}

export interface LlmImageRequestContract {
  model: string
  prompt: string
  operation: 'generate' | 'edit'
  images?: Array<LlmImageInputContract>
  mask?: LlmImageInputContract
  options?: LlmImageOptionsContract
  providerOptions?: LlmImageProviderOptionsContract
}

export declare function llmInferPromptModelConditions(messages: Array<PromptMessageContract>): ModelConditionsContract

export declare function llmListBuiltInPromptSpecs(): Array<BuiltInPromptSpec>

export declare function llmMatchModelCapabilities(payload: CapabilityMatchRequest): CapabilityMatchResponse

export declare function llmMatchModelRegistry(request: ModelRegistryMatchRequest): ModelRegistryMatchResponse

export declare function llmNormalizePreparedRoutes(value: any): any

export declare function llmPlanAttachmentReference(protocol: string, backendConfigJson: string, sourceJson: string): string

export declare function llmRenderBuiltInPrompt(request: BuiltInPromptRenderContract): PromptRenderResult

export declare function llmRenderBuiltInSessionPrompt(request: BuiltInPromptSessionContract): PromptSessionResult

export declare function llmRenderPrompt(request: PromptRenderContract): PromptRenderResult

export declare function llmRenderSessionPrompt(request: PromptSessionContract): PromptSessionResult

export interface LlmRequestContract {
  model: string
  messages: Array<LlmCoreMessage>
  stream?: boolean
  maxTokens?: number
  temperature?: number
  tools?: Array<ToolContract>
  toolChoice?: any
  include?: Array<string>
  reasoning?: any
  responseSchema?: any
  middleware?: any
}

export declare function llmRerankDispatch(protocol: string, backendConfigJson: string, requestJson: string): Promise<string>

export declare function llmRerankDispatchPrepared(routesJson: string): Promise<string>

export interface LlmRerankRequestContract {
  model: string
  query: string
  candidates: Array<RerankCandidate>
  topN?: number
}

export declare function llmResolveModelRegistryVariant(request: ModelRegistryResolveRequest): ModelRegistryResolveResponse

export declare function llmResolveRequestedModelMatch(payload: RequestedModelMatchRequest): RequestedModelMatchResponse

export declare function llmResolveRequestIntent(protocol: string, backendConfigJson: string, intentJson: string): string

export declare function llmStructuredDispatch(protocol: string, backendConfigJson: string, requestJson: string): Promise<string>

export declare function llmStructuredDispatchPrepared(routesJson: string): Promise<string>

export interface LlmStructuredRequestContract {
  model: string
  messages: Array<LlmCoreMessage>
  schema: any
  maxTokens?: number
  temperature?: number
  reasoning?: any
  strict?: boolean
  responseMimeType?: string
  middleware?: any
}

export declare function llmValidateContract(name: string, value: any): any

export declare function llmValidateJsonSchema(schema: any, value: any): any

/**
 * Merge updates in form like `Y.applyUpdate(doc, update)` way and return the
 * result binary.
 */
export declare function mergeUpdatesInApplyWay(updates: Array<Buffer>): Buffer

export declare function mintChallengeResponse(resource: string, bits?: number | undefined | null): Promise<string>

export interface ModelConditionsContract {
  inputTypes?: Array<'text' | 'image' | 'audio' | 'file'>
  attachmentKinds?: Array<'image' | 'audio' | 'file'>
  attachmentSourceKinds?: Array<'url' | 'data' | 'bytes' | 'file_handle'>
  hasRemoteAttachments?: boolean
  modelId?: string
  outputType?: 'text' | 'image' | 'object' | 'structured' | 'embedding' | 'rerank'
}

export interface ModelRegistryMatchRequest {
  backendKind: 'openai_chat' | 'openai_responses' | 'anthropic' | 'cloudflare_workers_ai' | 'gemini_api' | 'gemini_vertex' | 'fal' | 'perplexity' | 'anthropic_vertex' | 'morph'
  cond: ModelConditionsContract
}

export interface ModelRegistryMatchResponse {
  variant?: ModelRegistryVariantContract
}

export interface ModelRegistryResolveRequest {
  backendKind?: 'openai_chat' | 'openai_responses' | 'anthropic' | 'cloudflare_workers_ai' | 'gemini_api' | 'gemini_vertex' | 'fal' | 'perplexity' | 'anthropic_vertex' | 'morph'
  modelId: string
}

export interface ModelRegistryResolveResponse {
  variant?: ModelRegistryVariantContract
  matchedBy?: string
}

export interface ModelRegistryRouteContract {
  protocol?: 'openai_chat' | 'openai_responses' | 'openai_images' | 'anthropic' | 'gemini' | 'fal_image'
  requestLayer?: 'anthropic' | 'chat_completions' | 'cloudflare_workers_ai' | 'responses' | 'openai_images' | 'fal' | 'vertex' | 'vertex_anthropic' | 'gemini_api' | 'gemini_vertex'
}

export interface ModelRegistryVariantContract {
  backendKind: 'openai_chat' | 'openai_responses' | 'anthropic' | 'cloudflare_workers_ai' | 'gemini_api' | 'gemini_vertex' | 'fal' | 'perplexity' | 'anthropic_vertex' | 'morph'
  canonicalKey: string
  rawModelId: string
  displayName?: string
  aliases: Array<string>
  legacyAliases?: Array<string>
  capabilities: Array<CapabilityModelCapability>
  protocol?: 'openai_chat' | 'openai_responses' | 'openai_images' | 'anthropic' | 'gemini' | 'fal_image'
  requestLayer?: 'anthropic' | 'chat_completions' | 'cloudflare_workers_ai' | 'responses' | 'openai_images' | 'fal' | 'vertex' | 'vertex_anthropic' | 'gemini_api' | 'gemini_vertex'
  routeOverrides?: Record<string, ModelRegistryRouteContract>
  behaviorFlags?: Array<string>
}

export interface NativeBlockInfo {
  blockId: string
  flavour: string
  content?: Array<string>
  blob?: Array<string>
  refDocId?: Array<string>
  refInfo?: Array<string>
  parentFlavour?: string
  parentBlockId?: string
  additional?: string
}

export interface NativeCrawlResult {
  blocks: Array<NativeBlockInfo>
  title: string
  summary: string
}

export interface NativeMarkdownResult {
  title: string
  markdown: string
  knownUnsupportedBlocks: Array<string>
  unknownBlocks: Array<string>
}

export interface NativePageDocContent {
  title: string
  summary: string
}

export interface NativeWorkspaceDocContent {
  name: string
  avatarKey: string
}

export interface ParsedDoc {
  name: string
  chunks: Array<Chunk>
}

export declare function parseDoc(filePath: string, doc: Buffer): Promise<ParsedDoc>

export declare function parseDocFromBinary(docBin: Buffer, docId: string): NativeCrawlResult

export declare function parseDocToMarkdown(docBin: Buffer, docId: string, aiEditable?: boolean | undefined | null, docUrlPrefix?: string | undefined | null): NativeMarkdownResult

export declare function parsePageDoc(docBin: Buffer, maxSummaryLength?: number | undefined | null): NativePageDocContent | null

export declare function parseWorkspaceDoc(docBin: Buffer): NativeWorkspaceDocContent | null

export declare function processImage(input: Buffer, maxEdge: number, keepExif: boolean): Promise<Buffer>

export type PromptBuiltin =  'Date'|
'Language'|
'Timezone'|
'HasDocs'|
'HasFiles'|
'HasSelected'|
'HasCurrentDoc';

export interface PromptCountMessage {
  content: string
}

export interface PromptMessageContract {
  role: 'system' | 'assistant' | 'user'
  content: string
  attachments?: Array<any>
  params?: Record<string, any>
  responseFormat?: PromptStructuredResponseContract
}

export interface PromptMetadataContract {
  messages: Array<PromptMessageContract>
}

export interface PromptMetadataResult {
  paramKeys: Array<string>
  templateParams: Record<string, any>
}

export interface PromptParamSpec {
  default?: string
  enumValues?: Array<string>
}

export interface PromptRenderContract {
  messages: Array<PromptMessageContract>
  templateParams: Record<string, any>
  renderParams: Record<string, any>
}

export interface PromptRenderResult {
  messages: Array<PromptMessageContract>
  warnings: Array<string>
}

export interface PromptSessionContract {
  prompt: PromptSessionPrompt
  turns: Array<PromptMessageContract>
  renderParams: Record<string, any>
  maxTokenSize: number
}

export interface PromptSessionPrompt {
  action?: string
  model?: string
  promptTokens: number
  templateParams: Record<string, any>
  messages: Array<PromptMessageContract>
}

export interface PromptSessionResult {
  messages: Array<PromptMessageContract>
  warnings: Array<string>
  promptMessagePositions: Array<number>
}

export interface PromptSpecMessage {
  role: 'system' | 'assistant' | 'user'
  template: string
}

export interface PromptStructuredResponseContract {
  type: 'json_schema'
  responseSchemaJson: Record<string, unknown>
  schemaHash: string
  strict?: boolean
}

export interface PromptTokenCountContract {
  model?: string
  messages: Array<PromptCountMessage>
}

export interface PromptTokenCountResult {
  tokens: number
}

export interface ProviderDriverSpec {
  driverId: string
  providerType: string
  models: Array<string>
  routes: Array<ProviderRouteSpec>
  hostOnly?: ProviderHostOnlySpec
}

export interface ProviderHostOnlySpec {
  errorMapper?: string
  structuredRetry?: boolean
  providerToolAlias?: boolean
}

export interface ProviderRouteSpec {
  kind: string
  protocol: string
  requestLayer?: string
  supportsNativeFallback?: boolean
  supportsToolLoop?: boolean
  requestMiddlewares?: Array<string>
  streamMiddlewares?: Array<string>
  nodeTextMiddlewares?: Array<string>
}

export interface PublicDocMetaInput {
  id: string
  title?: string
}

export declare function readAllDocIdsFromRootDoc(docBin: Buffer, includeTrash?: boolean | undefined | null): Array<string>

export interface RequestedModelMatchRequest {
  providerIds: Array<string>
  optionalModels: Array<string>
  requestedModelId?: string
  defaultModel?: string
}

export interface RequestedModelMatchResponse {
  selectedModel?: string
  matchedOptionalModel: boolean
}

export interface RerankCandidate {
  id?: string
  text: string
}

export declare function runNativeActionRecipePreparedStream(input: ActionRuntimeInput, callback: ((err: Error | null, arg: string) => void)): LlmStreamHandle

export interface ToolContract {
  name: string
  description?: string
  parameters: any
}

/**
 * Updates or creates the docProperties record for a document.
 *
 * # Arguments
 * * `existing_binary` - The current docProperties document binary
 * * `properties_doc_id` - The docProperties document ID
 *   (db$${workspaceId}$docProperties)
 * * `target_doc_id` - The document ID to update in docProperties
 * * `created_by` - Optional creator user ID
 * * `updated_by` - Optional updater user ID
 *
 * # Returns
 * A Buffer containing only the delta (changes) as a y-octo update binary
 */
export declare function updateDocProperties(existingBinary: Buffer, propertiesDocId: string, targetDocId: string, createdBy?: string | undefined | null, updatedBy?: string | undefined | null): Buffer

/**
 * Updates a document's title without touching content blocks.
 *
 * # Arguments
 * * `existing_binary` - The current document binary
 * * `title` - The new title
 * * `doc_id` - The document ID
 *
 * # Returns
 * A Buffer containing only the delta (changes) as a y-octo update binary
 */
export declare function updateDocTitle(existingBinary: Buffer, title: string, docId: string): Buffer

/**
 * Updates an existing document with new markdown content.
 * Uses structural diffing to apply block-level replacements for changes.
 *
 * # Arguments
 * * `existing_binary` - The current document binary
 * * `new_markdown` - The new markdown content to apply
 * * `doc_id` - The document ID
 *
 * # Returns
 * A Buffer containing only the delta (changes) as a y-octo update binary
 */
export declare function updateDocWithMarkdown(existingBinary: Buffer, newMarkdown: string, docId: string): Buffer

/**
 * Updates a document title in the workspace root doc's meta.pages array.
 *
 * # Arguments
 * * `root_doc_bin` - The current root doc binary (workspaceId doc)
 * * `doc_id` - The document ID to update
 * * `title` - The new title for the document
 *
 * # Returns
 * A Buffer containing the y-octo update binary to apply to the root doc
 */
export declare function updateRootDocMetaTitle(rootDocBin: Buffer, docId: string, title: string): Buffer

export declare function verifyChallengeResponse(response: string, bits: number, resource: string): Promise<boolean>