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* refactor(active-memory): split runtime modules * fix(active-memory): annotate hook deadline result * refactor(active-memory): keep runtime modules bounded * fix(active-memory): use type-only recall imports * refactor(active-memory): supersede partial split * fix(gateway): type pruned worker manifest
333 lines
9.5 KiB
TypeScript
333 lines
9.5 KiB
TypeScript
import {
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DEFAULT_PROVIDER,
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parseModelRef,
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resolveAgentEffectiveModelPrimary,
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resolveDefaultModelForAgent,
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} from "openclaw/plugin-sdk/agent-runtime";
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import type { OpenClawPluginApi } from "openclaw/plugin-sdk/plugin-entry";
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import { truncateUtf16Safe } from "openclaw/plugin-sdk/text-utility-runtime";
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import {
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ACTIVE_MEMORY_CLOSE_TAG,
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ACTIVE_MEMORY_OPEN_TAG,
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ACTIVE_MEMORY_UNTRUSTED_CONTEXT_HEADER,
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MAX_ACTIVE_MEMORY_SEARCH_QUERY_CHARS,
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RECALLED_CONTEXT_LINE_PATTERNS,
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type ActiveRecallRecentTurn,
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type ResolvedActiveRecallPluginConfig,
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} from "./types.js";
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function buildQuery(params: {
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latestUserMessage: string;
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recentTurns?: ActiveRecallRecentTurn[];
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config: ResolvedActiveRecallPluginConfig;
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}): string {
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const latest = params.latestUserMessage.trim();
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if (params.config.queryMode === "message") {
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return latest;
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}
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if (params.config.queryMode === "full") {
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const allTurns = (params.recentTurns ?? [])
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.map((turn) => `${turn.role}: ${turn.text.trim().replace(/\s+/g, " ")}`)
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.filter((turn) => turn.length > 0);
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if (allTurns.length === 0) {
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return latest;
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}
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return ["Full conversation context:", ...allTurns, "", "Latest user message:", latest].join(
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"\n",
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);
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}
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let remainingUser = params.config.recentUserTurns;
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let remainingAssistant = params.config.recentAssistantTurns;
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const selected: ActiveRecallRecentTurn[] = [];
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for (let index = (params.recentTurns ?? []).length - 1; index >= 0; index -= 1) {
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const turn = params.recentTurns?.[index];
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if (!turn) {
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continue;
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}
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if (turn.role === "user") {
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if (remainingUser <= 0) {
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continue;
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}
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remainingUser -= 1;
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selected.push({
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role: "user",
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text: truncateUtf16Safe(
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turn.text.trim().replace(/\s+/g, " "),
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params.config.recentUserChars,
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),
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});
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continue;
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}
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if (remainingAssistant <= 0) {
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continue;
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}
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remainingAssistant -= 1;
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selected.push({
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role: "assistant",
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text: truncateUtf16Safe(
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turn.text.trim().replace(/\s+/g, " "),
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params.config.recentAssistantChars,
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),
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});
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}
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const recentTurns = selected.toReversed().filter((turn) => turn.text.length > 0);
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if (recentTurns.length === 0) {
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return latest;
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}
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return [
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"Recent conversation tail:",
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...recentTurns.map((turn) => `${turn.role}: ${turn.text}`),
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"",
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"Latest user message:",
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latest,
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].join("\n");
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}
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function stripExternalUntrustedBlocks(text: string): string {
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return text.replace(
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/<<<EXTERNAL_UNTRUSTED_CONTENT\b[^>]*>>>[\s\S]*?<<<END_EXTERNAL_UNTRUSTED_CONTENT\b[^>]*>>>/g,
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" ",
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);
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}
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function stripJsonFences(text: string): string {
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return text.replace(/```(?:json)?\s*[\s\S]*?```/gi, " ");
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}
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function stripActiveMemoryXmlBlocks(text: string): string {
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return text.replace(/<active_memory_plugin>[\s\S]*?<\/active_memory_plugin>/gi, " ");
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}
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function normalizeSearchQueryText(text: string): string {
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return text
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.split("\n")
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.map((line) => line.trim())
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.filter((line) => {
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if (!line) {
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return false;
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}
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if (/^(conversation info|sender|untrusted context)\b/i.test(line)) {
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return false;
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}
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if (/^(source: external|---|untrusted discord message body)$/i.test(line)) {
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return false;
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}
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if (/^⚠️?\s*Agent couldn't generate a response/i.test(line)) {
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return false;
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}
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if (/^Please try again\.?$/i.test(line)) {
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return false;
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}
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return true;
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})
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.join(" ")
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.replace(/\s+/g, " ")
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.trim();
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}
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function clampSearchQuery(text: string): string {
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const normalized = text.replace(/\s+/g, " ").trim();
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return normalized.length > MAX_ACTIVE_MEMORY_SEARCH_QUERY_CHARS
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? truncateUtf16Safe(normalized, MAX_ACTIVE_MEMORY_SEARCH_QUERY_CHARS).trim()
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: normalized;
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}
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function buildSearchQuery(params: {
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latestUserMessage: string;
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recentTurns?: ActiveRecallRecentTurn[];
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}): string {
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const latest = clampSearchQuery(
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normalizeSearchQueryText(
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stripActiveMemoryXmlBlocks(
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stripJsonFences(stripExternalUntrustedBlocks(params.latestUserMessage)),
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),
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),
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);
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if (latest.length >= 12 || !params.recentTurns?.length) {
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return latest || clampSearchQuery(params.latestUserMessage);
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}
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const previousUser = [...params.recentTurns]
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.toReversed()
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.find((turn) => turn.role === "user" && turn.text.trim() !== params.latestUserMessage.trim());
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if (!previousUser) {
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return latest || clampSearchQuery(params.latestUserMessage);
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}
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const context = truncateUtf16Safe(
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clampSearchQuery(normalizeSearchQueryText(stripRecalledContextNoise(previousUser.text))),
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120,
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).trim();
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return clampSearchQuery(context ? `${context} ${latest}` : latest);
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}
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function extractTextContentParts(content: unknown): string[] {
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if (typeof content === "string") {
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return content.trim() ? [content] : [];
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}
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if (!Array.isArray(content)) {
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return [];
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}
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const parts: string[] = [];
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for (const item of content) {
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if (typeof item === "string") {
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parts.push(item);
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continue;
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}
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if (!item || typeof item !== "object") {
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continue;
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}
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const typed = item as { type?: unknown; text?: unknown; content?: unknown };
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if (typeof typed.text === "string") {
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parts.push(typed.text);
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continue;
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}
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if (typed.type === "text" && typeof typed.content === "string") {
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parts.push(typed.content);
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}
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}
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return parts.map((part) => part.trim()).filter(Boolean);
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}
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function extractTextContent(content: unknown): string {
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return extractTextContentParts(content).join(" ").trim();
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}
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function stripRecalledContextNoise(text: string): string {
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const lines = text.split("\n");
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const cleanedLines: string[] = [];
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for (let index = 0; index < lines.length; index += 1) {
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const line = lines[index]?.trim() ?? "";
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if (!line) {
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continue;
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}
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if (line === ACTIVE_MEMORY_UNTRUSTED_CONTEXT_HEADER) {
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continue;
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}
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if (line === ACTIVE_MEMORY_OPEN_TAG) {
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let closeIndex = -1;
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for (let probe = index + 1; probe < lines.length; probe += 1) {
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if ((lines[probe]?.trim() ?? "") === ACTIVE_MEMORY_CLOSE_TAG) {
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closeIndex = probe;
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break;
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}
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}
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if (closeIndex !== -1) {
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index = closeIndex;
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continue;
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}
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}
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if (line === ACTIVE_MEMORY_CLOSE_TAG) {
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continue;
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}
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if (RECALLED_CONTEXT_LINE_PATTERNS.some((pattern) => pattern.test(line))) {
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continue;
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}
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cleanedLines.push(line);
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}
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return cleanedLines.join(" ").replace(/\s+/g, " ").trim();
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}
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function stripInjectedActiveMemoryPrefixOnly(text: string): string {
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const lines = text.split("\n");
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const cleanedLines: string[] = [];
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for (let index = 0; index < lines.length; index += 1) {
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const line = lines[index]?.trim() ?? "";
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if (!line) {
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continue;
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}
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if (line === ACTIVE_MEMORY_UNTRUSTED_CONTEXT_HEADER) {
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const nextLine = lines[index + 1]?.trim() ?? "";
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if (nextLine === ACTIVE_MEMORY_OPEN_TAG) {
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let closeIndex = -1;
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for (let probe = index + 2; probe < lines.length; probe += 1) {
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if ((lines[probe]?.trim() ?? "") === ACTIVE_MEMORY_CLOSE_TAG) {
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closeIndex = probe;
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break;
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}
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}
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if (closeIndex !== -1) {
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index = closeIndex;
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continue;
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}
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}
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}
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cleanedLines.push(line);
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}
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return cleanedLines.join(" ").replace(/\s+/g, " ").trim();
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}
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function extractRecentTurns(messages: unknown[]): ActiveRecallRecentTurn[] {
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const turns: ActiveRecallRecentTurn[] = [];
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for (const message of messages) {
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if (!message || typeof message !== "object") {
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continue;
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}
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const typed = message as { role?: unknown; content?: unknown };
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const role = typed.role === "user" || typed.role === "assistant" ? typed.role : undefined;
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if (!role) {
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continue;
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}
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const rawText = extractTextContent(typed.content);
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const text =
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role === "assistant"
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? stripRecalledContextNoise(rawText)
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: stripInjectedActiveMemoryPrefixOnly(rawText);
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if (!text) {
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continue;
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}
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turns.push({ role, text });
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}
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return turns;
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}
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function parseModelCandidate(modelRef: string | undefined, defaultProvider = DEFAULT_PROVIDER) {
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if (!modelRef) {
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return undefined;
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}
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return parseModelRef(modelRef, defaultProvider) ?? { provider: defaultProvider, model: modelRef };
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}
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function getModelRef(
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api: OpenClawPluginApi,
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agentId: string,
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config: ResolvedActiveRecallPluginConfig,
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ctx?: {
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modelProviderId?: string;
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modelId?: string;
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},
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): { provider: string; model: string } | undefined {
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const currentRunModel =
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ctx?.modelProviderId && ctx?.modelId ? `${ctx.modelProviderId}/${ctx.modelId}` : undefined;
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const configuredDefaultModel = resolveAgentEffectiveModelPrimary(api.config, agentId)
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? resolveDefaultModelForAgent({ cfg: api.config, agentId })
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: undefined;
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const defaultProvider = configuredDefaultModel?.provider ?? DEFAULT_PROVIDER;
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const candidates = [
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config.model,
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currentRunModel,
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configuredDefaultModel
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? `${configuredDefaultModel.provider}/${configuredDefaultModel.model}`
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: undefined,
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config.modelFallback,
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];
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for (const candidate of candidates) {
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const parsed = parseModelCandidate(candidate, defaultProvider);
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if (parsed) {
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return parsed;
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}
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}
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return undefined;
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}
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export {
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buildQuery,
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buildSearchQuery,
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extractRecentTurns,
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extractTextContent,
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extractTextContentParts,
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getModelRef,
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};
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