donobu/dist/models/ToolCallContext.d.ts

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

import type { GptClient } from '../clients/GptClient';
import type { DonobuFlowsManager } from '../managers/DonobuFlowsManager';
import type { InteractionVisualizer } from '../managers/InteractionVisualizer';
import type { TargetInspector } from '../managers/TargetInspector';
import type { ControlPanel } from '../models/ControlPanel';
import type { FlowsPersistence } from '../persistence/flows/FlowsPersistence';
import type { FlowMetadata } from './FlowMetadata';
import type { ProposedToolCall } from './ProposedToolCall';
import type { ToolCall } from './ToolCall';
/**
 * This is supplied as context when invoking a tool.
 */
export type ToolCallContext = {
    readonly flowsManager: DonobuFlowsManager;
    readonly envData: Record<string, string>;
    readonly targetInspector: TargetInspector;
    readonly controlPanel: ControlPanel;
    readonly persistence: FlowsPersistence;
    readonly gptClient: GptClient | null;
    readonly interactionVisualizer: InteractionVisualizer;
    readonly proposedToolCalls: ProposedToolCall[];
    readonly invokedToolCalls: ToolCall[];
    readonly metadata: FlowMetadata;
    readonly toolCallId: string;
    /**
     * Original (un-interpolated) parameters supplied to the current tool call.
     *
     * `ToolManager.invokeTool` interpolates `{{...}}` expressions in the tool's
     * parameters before invoking the tool, but a tool may need the raw text to
     * preserve env var references in its output (e.g. `AssertTool` emits
     * Playwright steps that retain `{{$.env.X}}` so cached replays stay correct
     * across env value changes). Set by `ToolManager` immediately before the
     * tool runs; absent for direct/legacy invocation paths.
     */
    rawParameters?: Record<string, any>;
};
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