obsidian-cost-tuning

name	obsidian-cost-tuning
description	Optimize Obsidian plugin resource usage and external service costs. Use when managing API quotas, reducing storage usage, or optimizing sync and external service consumption. Trigger with phrases like "obsidian resources", "obsidian quota", "optimize obsidian storage", "reduce obsidian costs".
allowed-tools	Read, Write, Edit
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>

Obsidian Cost Tuning

Overview

Optimize resource consumption and external service costs for Obsidian plugins that use APIs, storage, or sync services.

Prerequisites

• Plugin with external API integrations
• Understanding of API pricing models
• Access to usage metrics

Resource Categories

Cost Drivers

Resource	Optimization Target	Impact
API calls	Minimize requests	High
Data storage	Compress and dedupe	Medium
Sync bandwidth	Reduce transfer size	Medium
Compute	Cache results	Low

Instructions

Step 1: API Request Optimization

// src/services/api-optimizer.ts
import { requestUrl } from 'obsidian';

interface CacheEntry<T> {
  data: T;
  timestamp: number;
  etag?: string;
}

export class OptimizedAPIClient {
  private cache = new Map<string, CacheEntry<any>>();
  private pendingRequests = new Map<string, Promise<any>>();
  private cacheTTL: number;

  constructor(cacheTTLMs: number = 5 * 60 * 1000) { // 5 min default
    this.cacheTTL = cacheTTLMs;
  }

  async get<T>(url: string, options: {
    bypassCache?: boolean;
    customTTL?: number;
  } = {}): Promise<T> {
    const cacheKey = url;

    // Check cache
    if (!options.bypassCache) {
       cached = ..(cacheKey);
       ttl = options. ?? .;

       (cached && .() - cached. < ttl) {
        .();
         cached.  T;
      }
    }

    
     pending = ..(cacheKey);
     (pending) {
      .();
       pending  <T>;
    }

    
     requestPromise = .<T>(url, cacheKey);
    ..(cacheKey, requestPromise);

     {
        requestPromise;
    }  {
      ..(cacheKey);
    }
  }

    makeRequest<T>(: , : ): <T> {
     cached = ..(cacheKey);
     : <, > = {};

    
     (cached?.) {
      headers[] = cached.;
    }

     response =  ({
      url,
      headers,
      : ,
    });

    
     (response. ===  && cached) {
      .();
      ..(cacheKey, {
        ...cached,
        : .(),
      });
       cached.  T;
    }

    
     etag = response.[];
    ..(cacheKey, {
      : response.,
      : .(),
      etag,
    });

    .();
     response.  T;
  }

  ():  {
    ..();
  }

  (): { : ; :  } {
     size = ;
     ( entry  ..()) {
      size += .(entry.).;
    }
     { size, : .. };
  }
}

Step 2: Request Batching

// src/services/batch-requester.ts
export class BatchRequester<T, R> {
  private queue: Array<{ input: T; resolve: (r: R) => void; reject: (e: Error) => void }> = [];
  private batchTimeout: NodeJS.Timeout | null = null;
  private batchProcessor: (inputs: T[]) => Promise<R[]>;
  private maxBatchSize: number;
  private batchDelayMs: number;

  constructor(
    batchProcessor: (inputs: T[]) => Promise<R[]>,
    options: { maxBatchSize?: number; batchDelayMs?: number } = {}
  ) {
    this.batchProcessor = batchProcessor;
    this.maxBatchSize = options.maxBatchSize ?? 20;
    this.batchDelayMs = options.batchDelayMs ?? ;
  }

   (: T): <R> {
      ( {
      ..({ input, resolve, reject });

       (.. >= .) {
        .();
      }   (!.) {
        . = ( .(), .);
      }
    });
  }

    (): <> {
     (.) {
      (.);
      . = ;
    }

     batch = ..(, .);
     (batch. === ) ;

     {
       inputs = batch.( item.);
       results =  .(inputs);

      batch.( {
        item.(results[index]);
      });
    }  (error) {
      batch.( {
        item.(error  );
      });
    }
  }
}


 batcher =  <, >(
   (: []) => {
    
     response =  api.(noteIds);
     response.;
  }
);


 note1 =  batcher.();
 note2 =  batcher.();

Step 3: Storage Optimization

// src/services/storage-optimizer.ts
export class StorageOptimizer {
  // Compress data before storing
  static compress(data: any): string {
    const json = JSON.stringify(data);

    // Simple compression: remove whitespace and use shorter keys
    // For production, use actual compression library
    return json
      .replace(/\s+/g, '')
      .replace(/"([^"]+)":/g, (_, key) => {
        // Use single-char keys for common fields
        const shortKeys: Record<string, string> = {
          'path': 'p',
          'name': 'n',
          'content': 'c',
          'modified': 'm',
          'created': 'r',
          'tags': 't',
        };
        return `"${shortKeys[key] || key}":`;
      });
  }

  // Decompress stored data
  static decompress(compressed: string):  {
     : <, > = {
      : ,
      : ,
      : ,
      : ,
      : ,
      : ,
    };

     expanded = compressed.(,  {
       ;
    });

     .(expanded);
  }

  
   deduplicateStrings<T  >(: T[]): { : T[]; : [] } {
     : [] = [];
     stringIndex =  <, >();

     indexedData = data.( {
       :  = {};
       ( [key, value]  .(item)) {
         ( value ===  && value. > ) {
           index = stringIndex.(value);
           (index === ) {
            index = dictionary.;
            dictionary.(value);
            stringIndex.(value, index);
          }
          indexed[key] = ;
        }  {
          indexed[key] = value;
        }
      }
       indexed;
    });

     { : indexedData, dictionary };
  }

  
   (: , : ): {
    : ;
    : ;
    : ;
  } {
     originalSize = .(original).;
     optimizedSize = .(optimized).;
     savingsPercent = ((originalSize - optimizedSize) / originalSize) * ;

     { originalSize, optimizedSize, savingsPercent };
  }
}

Step 4: Rate Limiting with Quotas

// src/services/quota-manager.ts
interface QuotaConfig {
  dailyLimit: number;
  monthlyLimit: number;
  perMinuteLimit: number;
}

export class QuotaManager {
  private config: QuotaConfig;
  private usage: {
    daily: { count: number; date: string };
    monthly: { count: number; month: string };
    perMinute: number[];
  };
  private storageKey: string;

  constructor(plugin: Plugin, config: QuotaConfig) {
    this.config = config;
    this.storageKey = 'api-quota-usage';
    this.usage = this.loadUsage(plugin);
  }

  private loadUsage(plugin: Plugin): typeof this. {
     saved = plugin.()?.[.];
     today =  ().().()[];
     month = today.(, );

     {
      : saved?.?. === today
        ? saved.
        : { : , : today },
      : saved?.?. === month
        ? saved.
        : { : , month },
      : [],
    };
  }

   (): <{ : ; ?: ; ?:  }> {
     now = .();

    
    .. = ...( now - t < );
     (... >= ..) {
       oldestRequest = ..[];
       waitMs =  - (now - oldestRequest);
       {
        : ,
        : ,
        waitMs,
      };
    }

    
     (... >= ..) {
       {
        : ,
        : ,
      };
    }

    
     (... >= ..) {
       {
        : ,
        : ,
      };
    }

     { :  };
  }

  ():  {
     now = .();
    ...(now);
    ...++;
    ...++;
  }

  (): {
    : { : ; : ; :  };
    : { : ; : ; :  };
  } {
     {
      : {
        : ...,
        : ..,
        : (... / ..) * ,
      },
      : {
        : ...,
        : ..,
        : (... / ..) * ,
      },
    };
  }
}

Step 5: Intelligent Sync Optimization

// src/services/sync-optimizer.ts
export class SyncOptimizer {
  private lastSyncHashes = new Map<string, string>();

  // Only sync changed content
  async getChangedFiles(
    files: TFile[],
    vault: Vault
  ): Promise<TFile[]> {
    const changed: TFile[] = [];

    for (const file of files) {
      const content = await vault.cachedRead(file);
      const hash = await this.hashContent(content);
      const lastHash = this.lastSyncHashes.get(file.path);

      if (hash !== lastHash) {
        changed.push(file);
        this.lastSyncHashes.set(file.path, hash);
      }
    }

    console.log(`[Sync] ${changed.length}/${files.length} files changed`);
    return changed;
  }

  private  (: ): <> {
     encoder =  ();
     data = encoder.(content);
     hashBuffer =  crypto..(, data);
     hashArray = .( (hashBuffer));
     hashArray.( b.().(, )).().(, );
  }

  
   (: ): { : ; : ; :  } {
     original = .(data);
     compressed = .(data);

     {
      : compressed,
      : original.,
      : compressed.,
    };
  }
}

Output

• API request caching and deduplication
• Request batching for efficiency
• Storage compression and optimization
• Quota management with usage tracking
• Intelligent sync with change detection

Error Handling

Issue	Cause	Solution
Quota exceeded	Too many requests	Implement rate limiting
High storage costs	Uncompressed data	Apply compression
Slow sync	Full sync every time	Use delta sync
API costs high	No caching	Add request caching

Examples

Usage Dashboard Component

class UsageDashboard {
  displayUsage(quotaManager: QuotaManager): HTMLElement {
    const container = document.createElement('div');
    const stats = quotaManager.getUsageStats();

    container.innerHTML = `
      <h4>API Usage</h4>
      <div class="usage-bar">
        <div class="usage-fill" style="width: ${stats.daily.percent}%"></div>
        <span>Daily: ${stats.daily.used}/${stats.daily.limit}</span>
      </div>
      <div class="usage-bar">
        <div class="usage-fill" style="width: ${stats.monthly.percent}%"></div>
        <span>Monthly: ${stats.monthly.used}/${stats.monthly.limit}</span>
      </div>
    `;

    return container;
  }
}

Resources

• API Rate Limiting Best Practices
• Data Compression Techniques

Next Steps

For architecture patterns, see obsidian-reference-architecture.