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donobu

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Create browser automations with an LLM agent and replay them as Playwright scripts.

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import type { AiQuery } from '../models/AiQuery'; import type { BrowserStorageState } from '../models/BrowserStorageState'; import type { DonobuDeploymentEnvironment } from '../models/DonobuDeploymentEnvironment'; import type { FlowMetadata, FlowsQuery } from '../models/FlowMetadata'; import type { PaginatedResult } from '../models/PaginatedResult'; import type { ToolCall } from '../models/ToolCall'; import type { FlowsPersistenceRegistry } from '../persistence/flows/FlowsPersistenceRegistry'; import type { FlowRuntime } from './FlowRuntime'; /** * Centralized access layer for flow metadata, tool calls, and browser state. * * Responsibilities: * - Prefer in-memory runtime state when running locally (so callers see live mutations) * - Federate reads across all configured persistence layers with simple pagination merge * - Provide a single surface for flow metadata, tool call history, browser state, and deletes */ export declare class FlowCatalog { private readonly flowsPersistenceRegistry; private readonly flowRuntime; private readonly deploymentEnvironment; constructor(flowsPersistenceRegistry: FlowsPersistenceRegistry, flowRuntime: FlowRuntime, deploymentEnvironment: DonobuDeploymentEnvironment); getFlowById(flowId: string): Promise<FlowMetadata>; getFlowByName(flowName: string): Promise<FlowMetadata>; getToolCalls(flowId: string): Promise<ToolCall[]>; getAiQueries(flowId: string): Promise<AiQuery[]>; deleteFlow(flowId: string): Promise<void>; getBrowserState(flowId: string): Promise<BrowserStorageState | null>; getFlows(query: FlowsQuery): Promise<PaginatedResult<FlowMetadata>>; private isLocal; } //# sourceMappingURL=FlowCatalog.d.ts.map