/**
 * Messages slot subflow builder
 *
 * Pattern: Builder (returns a FlowChart mountable via addSubFlowChartNext).
 * Role:    Layer-3 context engineering. Produces InjectionRecord[] from
 *          the current conversation history. For LLMCall, that's one
 *          user message. For Agent, it's user + assistant + tool-result
 *          messages accumulated over iterations.
 * Emits:   None directly; ContextRecorder sees the writes.
 *
 * Minimal scope for Phase 3e: pass-through of an input message history
 * array. Full MessageStrategy (windowing, summarizing) arrives in Phase 5.
 */
import type { FlowChart } from 'footprintjs';
import type { ContextRole } from '../../events/types.js';
/**
 * A single message supplied by the caller. Structurally matches the
 * LLMMessage adapter type but local-aliased to keep this file free of
 * adapter-layer coupling.
 */
export interface InputMessage {
    readonly role: ContextRole;
    readonly content: string;
    readonly toolCallId?: string;
    readonly toolName?: string;
}
export interface MessagesSlotConfig {
    /** Budget cap (chars). Default: 10000. */
    readonly budgetCap?: number;
}
/**
 * Build the Messages slot subflow.
 *
 * Mount with:
 *   builder.addSubFlowChartNext(SUBFLOW_IDS.MESSAGES, buildMessagesSlot(cfg), 'Messages', {
 *     inputMapper: (parent) => ({ messages: parent.messages, iteration: parent.iteration }),
 *     outputMapper: (sf) => ({ messagesInjections: sf.messagesInjections }),
 *   })
 */
export declare function buildMessagesSlot(config?: MessagesSlotConfig): FlowChart;