feat(FN-1892): merge fusion/fn-1892
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@@ -10,8 +10,12 @@
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* - Read-only tool access (prevents accidental memory modification during compaction)
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* - Session disposal in finally block to prevent leaks
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* - AiServiceError for AI-related failures
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* - Auto-summarize automation integration for scheduled compaction
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*/
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import type { ProjectSettings } from "./types.js";
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import type { ScheduledTaskCreateInput } from "./automation.js";
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// Dynamic import for @fusion/engine to avoid resolution issues in test environment
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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type AgentResult = any;
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@@ -212,3 +216,150 @@ export async function compactMemoryWithAi(
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export function __resetCompactionState(): void {
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// No-op: no caches to reset in current implementation
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}
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// ── Automation Integration ───────────────────────────────────────────────
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/** Constant name for the auto-summarize automation schedule. */
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export const AUTO_SUMMARIZE_SCHEDULE_NAME = "Memory Auto-Summarize";
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/** Default schedule for auto-summarize: daily at 3 AM. */
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export const DEFAULT_AUTO_SUMMARIZE_SCHEDULE = "0 3 * * *";
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/**
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* Create the automation config for auto-summarize memory compaction.
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*
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* Returns a `ScheduledTaskCreateInput` ready for `AutomationStore.createSchedule()`.
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* The automation uses a single `ai-prompt` step that checks memory size and
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* compacts it if it exceeds the configured threshold.
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*
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* The AI model provider and ID are optional — when not specified, the
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* automation system falls back to the project's default model.
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*
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* @param settings - Project settings for schedule and threshold configuration.
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* @param modelProvider - Optional AI model provider override.
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* @param modelId - Optional AI model ID override.
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* @returns The automation creation input.
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*/
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export function createAutoSummarizeAutomation(
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settings: Partial<ProjectSettings>,
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modelProvider?: string,
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modelId?: string,
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): ScheduledTaskCreateInput {
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const schedule = settings.memoryAutoSummarizeSchedule ?? DEFAULT_AUTO_SUMMARIZE_SCHEDULE;
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const threshold = settings.memoryAutoSummarizeThresholdChars ?? 50_000;
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// Build the prompt that reads working memory, checks size, and compacts if needed.
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// Note: At automation execution time, the AI agent has access to the filesystem.
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const prompt = `You are the Memory Auto-Summarization agent. Your job is to check the project's working memory file size and compress it when it exceeds the configured threshold.
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## Your Task
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1. Read the working memory file at \`.fusion/memory.md\` using your file reading tools
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2. Check if the file size exceeds the threshold of ${threshold} characters
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3. If the file is BELOW the threshold: output JSON indicating no compaction needed:
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\`\`\`json
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{"skipped": true, "reason": "Below threshold", "currentSize": <actual_size>}
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\`\`\`
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4. If the file is AT OR ABOVE the threshold:
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a) Distill the memory to ONLY the most important insights
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b) Preserve at least 2 of these 3 core sections: Architecture, Conventions, Pitfalls
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c) Write the compacted content back to \`.fusion/memory.md\`
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d) Output JSON indicating compaction was done:
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\`\`\`json
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{"skipped": false, "originalSize": <size_before>, "newSize": <size_after>, "reduction": "<percentage>%"}
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\`\`\`
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## Compaction Guidelines
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**MUST PRESERVE (durable items):**
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- Architecture: Project structure, key abstractions, major components
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- Conventions: Coding standards, naming patterns, established practices
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- Pitfalls: Known issues to avoid, anti-patterns to watch for
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- Any section header (## <name>) should stay if it contains durable content
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**SHOULD REMOVE (transient items):**
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- One-time observations from completed tasks
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- Task-specific implementation notes
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- Verbose explanations that can be condensed
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- Outdated or superseded entries
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- Trivial gotchas that aren't critical
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**CRITICAL REQUIREMENTS:**
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- You MUST preserve at least 2 of these 3 core sections: Architecture, Conventions, Pitfalls
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- Output ONLY valid JSON — no markdown fences, no extra text
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- Use your file writing tools to update \`.fusion/memory.md\` with the compacted content`;
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return {
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name: AUTO_SUMMARIZE_SCHEDULE_NAME,
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description: "Automatically compresses working memory when it exceeds the configured size threshold",
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scheduleType: "custom",
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cronExpression: schedule,
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command: "", // Required by type but unused when steps are present
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enabled: true,
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steps: [
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{
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id: "memory-auto-summarize",
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type: "ai-prompt",
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name: "Auto-Summarize Memory",
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prompt,
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...(modelProvider && modelId ? { modelProvider, modelId } : {}),
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timeoutMs: 120_000, // 2 minutes
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},
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],
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};
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}
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/**
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* Synchronize the auto-summarize automation with project settings.
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*
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* Creates, updates, or deletes the automation schedule based on whether
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* auto-summarize is enabled in the project settings. Follows the same
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* pattern as `syncInsightExtractionAutomation()`.
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*
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* @param automationStore - The AutomationStore instance.
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* @param settings - Current project settings.
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* @returns The created/updated schedule, or undefined if deleted/disabled.
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*/
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export async function syncAutoSummarizeAutomation(
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automationStore: import("./automation-store.js").AutomationStore,
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settings: Partial<ProjectSettings>,
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): Promise<import("./automation.js").ScheduledTask | undefined> {
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const { AutomationStore } = await import("./automation-store.js");
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// Find existing auto-summarize schedule by name
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const schedules = await automationStore.listSchedules();
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const existingSchedule = schedules.find(
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(s) => s.name === AUTO_SUMMARIZE_SCHEDULE_NAME,
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);
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// If auto-summarize is disabled, delete existing schedule if present
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if (!settings.memoryAutoSummarizeEnabled) {
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if (existingSchedule) {
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await automationStore.deleteSchedule(existingSchedule.id);
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}
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return undefined;
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}
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// Validate the cron schedule
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const schedule = settings.memoryAutoSummarizeSchedule ?? DEFAULT_AUTO_SUMMARIZE_SCHEDULE;
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if (!AutomationStore.isValidCron(schedule)) {
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throw new Error(`Invalid auto-summarize schedule: ${schedule}`);
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}
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// Build the automation input
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const input = createAutoSummarizeAutomation(settings);
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if (existingSchedule) {
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// Update existing schedule
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return await automationStore.updateSchedule(existingSchedule.id, {
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scheduleType: "custom",
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cronExpression: schedule,
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command: input.command,
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steps: input.steps,
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enabled: true,
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});
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} else {
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// Create new schedule
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return await automationStore.createSchedule(input);
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}
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}
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