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⚡ Bolt: optimize context generation and tool loop efficiency#52

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bolt-optimize-context-loop-14130298855247697801
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⚡ Bolt: optimize context generation and tool loop efficiency#52
SuvenSeo wants to merge 1 commit into
masterfrom
bolt-optimize-context-loop-14130298855247697801

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@SuvenSeo

@SuvenSeo SuvenSeo commented Jun 2, 2026

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💡 What:

  • Moved getFullPrompt outside the tool execution loop in the Telegram handler (messageHandler.js).
  • Removed redundant episodic_memory fetch and associated dead code/constants from buildContext (context.js).
  • Implemented 1-minute TTL caching for working_memory query results.

🎯 Why:

  • Redundant latency: Calling getFullPrompt inside the loop added ~200-500ms of latency per tool iteration for context that remains stable during the interaction.
  • Database overhead: episodic_memory fetch in buildContext was redundant since conversational history is now passed via the messages array in the chat handlers.
  • Efficiency: working_memory queries were being executed repeatedly during multi-step tool loops; caching them for 1 minute significantly reduces database hits.

📊 Impact:

  • Reduces total interaction latency by hundreds of milliseconds per tool step.
  • Eliminates 1 redundant database query per AI request.
  • Improves system responsiveness during complex task/reminder extractions.

🔬 Measurement:

  • Verified via npm test (all 34 tests passed).
  • Logged performance discoveries in .jules/bolt.md.

PR created automatically by Jules for task 14130298855247697801 started by @SuvenSeo

- Move getFullPrompt outside tool loop in messageHandler.js
- Remove redundant episodic_memory fetch and dead code in context.js
- Implement 1-minute TTL cache for working_memory in buildContext

Co-authored-by: SuvenSeo <263689617+SuvenSeo@users.noreply.github.com>
Copilot AI review requested due to automatic review settings June 2, 2026 20:00
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Project Deployment Actions Updated (UTC)
seo-os-agent Ready Ready Preview, Comment Jun 2, 2026 8:02pm

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Pull request overview

This PR optimizes AI context generation for the Telegram tool loop by reducing redundant prompt work and database reads, aiming to lower latency and DB load during multi-step interactions.

Changes:

  • Removed legacy episodic_memory-based context selection code from buildContext() and stopped querying episodic_memory there.
  • Added 1-minute in-memory caching for working_memory query results.
  • Moved getFullPrompt() generation outside the Telegram tool loop iteration.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File Description
frontend/src/lib/services/context.js Removes unused episodic-memory context logic and adds 1-minute caching for working_memory.
frontend/src/lib/handlers/messageHandler.js Generates the system prompt once before the tool-iteration loop to reduce repeated prompt building.
.jules/bolt.md Documents performance findings and the rationale for the optimizations.

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Comment on lines +148 to +154
const cachedWorking = getCache('working_memory');

const promises = [
// Always fresh: episodic memory window for smart context selection
supabase.from('episodic_memory').select('role, content, created_at').order('created_at', { ascending: false }).limit(EPISODE_FETCH_LIMIT),
// Always fresh: open tasks
supabase.from('tasks').select('id, title, description, deadline, priority, status, follow_up_count, tier').in('status', ['open', 'snoozed']).order('priority', { ascending: true }),
// Cached 1 min: working memory
supabase.from('working_memory').select('key, value, expires_at').or(`expires_at.is.null,expires_at.gt.${now.toISOString()}`),
cachedWorking ? Promise.resolve({ data: cachedWorking }) : supabase.from('working_memory').select('key, value, expires_at').or(`expires_at.is.null,expires_at.gt.${now.toISOString()}`),
Comment on lines 503 to 507
let iteration = 0;
const toolConfirmations = [];
const toolResults = [];
const systemPrompt = await getFullPrompt(processedText);

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2 participants