/**
 * causalEvidenceRecorder — the evidence bridge (backlog Phase-1 #5).
 *
 * Harvests, DURING the run, everything a causal snapshot needs beyond
 * (query, finalContent) — from events the engine already fires:
 *
 *   stream.tool_start/tool_end  → ToolCallRecord (name, args, resultPreview, errored)
 *                                 — none for a bracket carrying `notDispatched`
 *                                   (9.113.0): that call never ran
 *   stream.llm_end              → tokenUsage accumulation + iteration high-water
 *   agent.turn_start/turn_end   → durationMs (+ authoritative totals when seen)
 *   FlowRecorder.onDecision     → DecisionRecord with footprintjs decide()/select()
 *                                 operator-level evidence (rule, conditions, chosen)
 *   context.evaluated routing   → DecisionRecord per skill the graph routed to
 *
 * Pattern: CombinedRecorder (Convention 1 — single purpose: evidence
 *          accumulation); per-turn reset anchored on `agent.turn_start`
 *          (Convention 4 — executor `clear()` resets between runs; same-
 *          executor pause/resume PRESERVES pre-pause evidence by design).
 * PII note: tool args/results and decide() evidence persist into snapshots.
 *          A causal memory is working state — a later run replays it to the
 *          model — so the Agent feeds this recorder's tool calls from its
 *          REAL-value path: under an agent's `redact` the snapshot still keeps
 *          the real arguments and results, as it keeps the real question and
 *          answer (`writeSnapshot` reads those from the conversation the run
 *          computed on). The one part it cannot read real is the DECISIONS:
 *          footprintjs serves its flow channel (`onDecision` / `onSelected`)
 *          under the run's policy, so a selected value inside decide()
 *          evidence is the placeholder there (a named limit,
 *          `src/redaction/README.md`). Values are bounded (`maxPreviewChars`
 *          for results, `maxFieldChars` for args/evidence); treat the snapshot
 *          store as PII-bearing and protect it accordingly.
 *
 * The Agent attaches this automatically when a CAUSAL memory is mounted and
 * threads `collect` into the memory write mount (`evidenceSource`) — so
 * `writeSnapshot` persists real evidence instead of zeros.
 */
import type { FlowDecisionEvent, FlowSelectedEvent } from 'footprintjs';
import type { DecisionRecord, ToolCallRecord } from './types.js';
/** What the bridge delivers to `writeSnapshot` for one run. */
export interface RunEvidence {
    readonly iterations: number;
    readonly decisions: ReadonlyArray<DecisionRecord>;
    readonly toolCalls: ReadonlyArray<ToolCallRecord>;
    readonly durationMs: number;
    readonly tokenUsage: {
        readonly input: number;
        readonly output: number;
    };
}
export interface CausalEvidenceRecorderOptions {
    /** Recorder id (default 'causal-evidence'). */
    readonly id?: string;
    /** Max chars kept of each tool result preview. Default 200. */
    readonly maxPreviewChars?: number;
    /** Max serialized chars kept of tool ARGS and decision EVIDENCE (the
     *  PII-dense fields). Oversized values are replaced by a truncated
     *  preview marker. Default 2000. */
    readonly maxFieldChars?: number;
}
export interface CausalEvidenceRecorderHandle {
    readonly id: string;
    /** Snapshot the evidence accumulated for the CURRENT run. */
    collect(): RunEvidence;
    clear(): void;
    onEmit(event: {
        name: string;
        payload: unknown;
    }): void;
    onDecision(event: FlowDecisionEvent): void;
    onSelected(event: FlowSelectedEvent): void;
}
/** Build the evidence-harvesting recorder. Attach via `.watch(rec)` (the
 *  Agent does this automatically for CAUSAL memories). */
export declare function causalEvidenceRecorder(options?: CausalEvidenceRecorderOptions): CausalEvidenceRecorderHandle;