mirror of
https://github.com/farcasclaudiu/openclaw.git
synced 2026-06-28 13:01:42 +03:00
refactor(src): split oversized modules
This commit is contained in:
+266
@@ -0,0 +1,266 @@
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import fs from "node:fs/promises";
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import os from "node:os";
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import path from "node:path";
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import { describe, expect, it, vi } from "vitest";
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import type { TemplateContext } from "../templating.js";
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import { DEFAULT_MEMORY_FLUSH_PROMPT } from "./memory-flush.js";
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import type { FollowupRun, QueueSettings } from "./queue.js";
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import { createMockTypingController } from "./test-helpers.js";
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const runEmbeddedPiAgentMock = vi.fn();
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const runCliAgentMock = vi.fn();
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type EmbeddedRunParams = {
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prompt?: string;
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extraSystemPrompt?: string;
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onAgentEvent?: (evt: {
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stream?: string;
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data?: { phase?: string; willRetry?: boolean };
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}) => void;
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};
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vi.mock("../../agents/model-fallback.js", () => ({
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runWithModelFallback: async ({
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provider,
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model,
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run,
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}: {
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provider: string;
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model: string;
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run: (provider: string, model: string) => Promise<unknown>;
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}) => ({
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result: await run(provider, model),
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provider,
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model,
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}),
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}));
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vi.mock("../../agents/cli-runner.js", () => ({
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runCliAgent: (params: unknown) => runCliAgentMock(params),
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}));
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vi.mock("../../agents/pi-embedded.js", () => ({
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queueEmbeddedPiMessage: vi.fn().mockReturnValue(false),
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runEmbeddedPiAgent: (params: unknown) => runEmbeddedPiAgentMock(params),
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}));
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vi.mock("./queue.js", async () => {
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const actual =
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await vi.importActual<typeof import("./queue.js")>("./queue.js");
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return {
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...actual,
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enqueueFollowupRun: vi.fn(),
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scheduleFollowupDrain: vi.fn(),
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};
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});
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import { runReplyAgent } from "./agent-runner.js";
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async function seedSessionStore(params: {
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storePath: string;
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sessionKey: string;
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entry: Record<string, unknown>;
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}) {
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await fs.mkdir(path.dirname(params.storePath), { recursive: true });
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await fs.writeFile(
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params.storePath,
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JSON.stringify({ [params.sessionKey]: params.entry }, null, 2),
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"utf-8",
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);
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}
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function createBaseRun(params: {
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storePath: string;
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sessionEntry: Record<string, unknown>;
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config?: Record<string, unknown>;
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runOverrides?: Partial<FollowupRun["run"]>;
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}) {
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const typing = createMockTypingController();
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const sessionCtx = {
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Provider: "whatsapp",
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OriginatingTo: "+15550001111",
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AccountId: "primary",
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MessageSid: "msg",
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} as unknown as TemplateContext;
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const resolvedQueue = { mode: "interrupt" } as unknown as QueueSettings;
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const followupRun = {
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prompt: "hello",
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summaryLine: "hello",
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enqueuedAt: Date.now(),
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run: {
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agentId: "main",
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agentDir: "/tmp/agent",
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sessionId: "session",
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sessionKey: "main",
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messageProvider: "whatsapp",
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sessionFile: "/tmp/session.jsonl",
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workspaceDir: "/tmp",
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config: params.config ?? {},
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skillsSnapshot: {},
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provider: "anthropic",
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model: "claude",
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thinkLevel: "low",
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verboseLevel: "off",
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elevatedLevel: "off",
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bashElevated: {
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enabled: false,
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allowed: false,
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defaultLevel: "off",
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},
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timeoutMs: 1_000,
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blockReplyBreak: "message_end",
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},
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} as unknown as FollowupRun;
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const run = {
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...followupRun.run,
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...params.runOverrides,
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config: params.config ?? followupRun.run.config,
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};
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return {
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typing,
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sessionCtx,
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resolvedQueue,
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followupRun: { ...followupRun, run },
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};
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}
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describe("runReplyAgent memory flush", () => {
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it("uses configured prompts for memory flush runs", async () => {
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runEmbeddedPiAgentMock.mockReset();
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const tmp = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-flush-"));
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const storePath = path.join(tmp, "sessions.json");
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const sessionKey = "main";
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const sessionEntry = {
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sessionId: "session",
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updatedAt: Date.now(),
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totalTokens: 80_000,
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compactionCount: 1,
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};
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await seedSessionStore({ storePath, sessionKey, entry: sessionEntry });
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const calls: Array<EmbeddedRunParams> = [];
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runEmbeddedPiAgentMock.mockImplementation(
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async (params: EmbeddedRunParams) => {
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calls.push(params);
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if (params.prompt === DEFAULT_MEMORY_FLUSH_PROMPT) {
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return { payloads: [], meta: {} };
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}
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return {
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payloads: [{ text: "ok" }],
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meta: { agentMeta: { usage: { input: 1, output: 1 } } },
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};
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},
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);
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const { typing, sessionCtx, resolvedQueue, followupRun } = createBaseRun({
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storePath,
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sessionEntry,
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config: {
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agents: {
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defaults: {
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compaction: {
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memoryFlush: {
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prompt: "Write notes.",
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systemPrompt: "Flush memory now.",
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},
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},
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},
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},
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},
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runOverrides: { extraSystemPrompt: "extra system" },
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});
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await runReplyAgent({
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commandBody: "hello",
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followupRun,
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queueKey: "main",
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resolvedQueue,
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shouldSteer: false,
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shouldFollowup: false,
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isActive: false,
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isStreaming: false,
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typing,
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sessionCtx,
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sessionEntry,
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sessionStore: { [sessionKey]: sessionEntry },
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sessionKey,
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storePath,
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defaultModel: "anthropic/claude-opus-4-5",
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agentCfgContextTokens: 100_000,
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resolvedVerboseLevel: "off",
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isNewSession: false,
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blockStreamingEnabled: false,
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resolvedBlockStreamingBreak: "message_end",
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shouldInjectGroupIntro: false,
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typingMode: "instant",
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});
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const flushCall = calls[0];
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expect(flushCall?.prompt).toContain("Write notes.");
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expect(flushCall?.prompt).toContain("NO_REPLY");
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expect(flushCall?.extraSystemPrompt).toContain("extra system");
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expect(flushCall?.extraSystemPrompt).toContain("Flush memory now.");
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expect(flushCall?.extraSystemPrompt).toContain("NO_REPLY");
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expect(calls[1]?.prompt).toBe("hello");
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});
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it("skips memory flush after a prior flush in the same compaction cycle", async () => {
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runEmbeddedPiAgentMock.mockReset();
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const tmp = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-flush-"));
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const storePath = path.join(tmp, "sessions.json");
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const sessionKey = "main";
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const sessionEntry = {
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sessionId: "session",
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updatedAt: Date.now(),
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totalTokens: 80_000,
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compactionCount: 2,
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memoryFlushCompactionCount: 2,
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};
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await seedSessionStore({ storePath, sessionKey, entry: sessionEntry });
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const calls: Array<{ prompt?: string }> = [];
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runEmbeddedPiAgentMock.mockImplementation(
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async (params: EmbeddedRunParams) => {
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calls.push({ prompt: params.prompt });
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return {
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payloads: [{ text: "ok" }],
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meta: { agentMeta: { usage: { input: 1, output: 1 } } },
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};
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},
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);
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const { typing, sessionCtx, resolvedQueue, followupRun } = createBaseRun({
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storePath,
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sessionEntry,
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});
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await runReplyAgent({
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commandBody: "hello",
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followupRun,
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queueKey: "main",
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resolvedQueue,
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shouldSteer: false,
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shouldFollowup: false,
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isActive: false,
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isStreaming: false,
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typing,
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sessionCtx,
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sessionEntry,
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sessionStore: { [sessionKey]: sessionEntry },
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sessionKey,
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storePath,
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defaultModel: "anthropic/claude-opus-4-5",
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agentCfgContextTokens: 100_000,
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resolvedVerboseLevel: "off",
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isNewSession: false,
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blockStreamingEnabled: false,
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resolvedBlockStreamingBreak: "message_end",
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shouldInjectGroupIntro: false,
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typingMode: "instant",
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});
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expect(calls.map((call) => call.prompt)).toEqual(["hello"]);
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});
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});
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