Mintplex-Labs/anything-llm
1
0
Fork 0
mirror of https://github.com/Mintplex-Labs/anything-llm.git synced 2026-07-19 14:13:35 -04:00
Code Issues 328 Packages Projects Releases 10 Wiki Activity

[GH-ISSUE #4056] LLM Provider: Advanced Abstraction and Load Balancing #2585

New Issue
Closed
opened 2026-02-22 18:30:21 -05:00 by yindo · 0 comments
yindo commented 2026-02-22 18:30:21 -05:00
Owner
Copy Link
Copy Source

Originally created by @jezweb on GitHub (Jun 26, 2025).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/4056

Overview

Enhance LLM provider abstraction for better reliability, performance, and cost optimization across multiple providers.

Related to upstream discussion: https://github.com/Mintplex-Labs/anything-llm/issues/2797

Current State

  • Good basic abstraction with BaseLLMProvider
  • Single provider per workspace
  • No failover mechanism
  • Limited rate limit handling

Proposed Enhancements

1. Multi-Provider Architecture

Load Balancing Strategies

class LLMLoadBalancer {
  constructor(providers) {
    this.strategies = {
      roundRobin: new RoundRobinStrategy(),
      leastCost: new CostOptimizationStrategy(),
      leastLatency: new LatencyOptimizationStrategy(),
      weighted: new WeightedRandomStrategy(),
      failover: new FailoverStrategy()
    };
  }
  
  async selectProvider(request) {
    // Consider: cost, latency, rate limits, features
    return this.strategy.select(this.providers, request);
  }
}

Provider Health Monitoring

{
  "provider": "openai",
  "status": "healthy",
  "metrics": {
    "avgLatency": 450,
    "errorRate": 0.001,
    "availability": 0.999,
    "rateLimitRemaining": 1000
  },
  "lastChecked": "2024-01-01T00:00:00Z"
}

2. Advanced Features

Cost Optimization

class CostOptimizer {
  async routeRequest(request) {
    const estimated = {
      tokens: this.estimateTokens(request),
      complexity: this.analyzeComplexity(request)
    };
    
    // Route based on cost/performance trade-off
    if (estimated.complexity === 'low') {
      return this.selectCheapestProvider();
    } else {
      return this.selectBestValueProvider();
    }
  }
}

Request Optimization

  • Prompt compression
  • Context caching
  • Response caching
  • Batch processing

3. Provider Features

Unified Request Format

interface LLMRequest {
  messages: Message[];
  model?: string;
  temperature?: number;
  maxTokens?: number;
  
  // Advanced options
  functions?: Function[];
  responseFormat?: 'text'  < /dev/null |  'json';
  streamingEnabled?: boolean;
  
  // Routing hints
  priority?: 'low' | 'normal' | 'high';
  maxCost?: number;
  maxLatency?: number;
}

Provider Capabilities

{
  "openai": {
    "models": ["gpt-4", "gpt-3.5-turbo"],
    "features": ["functions", "vision", "json-mode"],
    "limits": { "rpm": 3500, "tpm": 90000 }
  },
  "anthropic": {
    "models": ["claude-3-opus", "claude-3-sonnet"],
    "features": ["long-context", "xml-tags"],
    "limits": { "rpm": 1000, "tpm": 100000 }
  }
}

4. Rate Limit Management

Intelligent Rate Limiting

class RateLimitManager {
  constructor() {
    this.buckets = new Map();
    this.queue = new PriorityQueue();
  }
  
  async executeWithRateLimit(provider, request) {
    const bucket = this.getBucket(provider);
    
    if (bucket.hasCapacity()) {
      return await this.execute(provider, request);
    }
    
    // Queue or failover to another provider
    return await this.handleRateLimited(provider, request);
  }
}

Token Management

  • Token counting/estimation
  • Budget tracking
  • Usage analytics
  • Cost alerts

5. Resilience Features

Circuit Breaker

class CircuitBreaker {
  constructor(provider) {
    this.failureThreshold = 5;
    this.resetTimeout = 60000;
    this.state = 'closed';
  }
  
  async call(request) {
    if (this.state === 'open') {
      throw new Error('Circuit breaker is open');
    }
    
    try {
      const response = await this.provider.call(request);
      this.onSuccess();
      return response;
    } catch (error) {
      this.onFailure();
      throw error;
    }
  }
}

Retry Strategies

  • Exponential backoff
  • Jittered retry
  • Provider failover
  • Request modification

Implementation Plan

Phase 1: Core Architecture

  1. Create load balancer framework
  2. Implement provider health checks
  3. Add basic routing strategies
  4. Create unified interface

Phase 2: Optimization

  1. Implement cost optimization
  2. Add request caching
  3. Create rate limit manager
  4. Add token management

Phase 3: Advanced Features

  1. Circuit breaker implementation
  2. Advanced retry strategies
  3. Analytics and monitoring
  4. A/B testing support

Configuration

# LLM Load Balancing
LLM_STRATEGY=leastCost
LLM_ENABLE_FAILOVER=true
LLM_HEALTH_CHECK_INTERVAL=60000
LLM_CACHE_ENABLED=true

# Provider Weights
LLM_WEIGHT_OPENAI=0.4
LLM_WEIGHT_ANTHROPIC=0.3
LLM_WEIGHT_LOCAL=0.3

# Cost Limits
LLM_MAX_COST_PER_REQUEST=0.10
LLM_DAILY_BUDGET=100.00

Expected Benefits

  • 99.99% availability with failover
  • 30-50% cost reduction
  • 2x improvement in throughput
  • Better rate limit handling

Labels: enhancement, llm, performance, reliability

Originally created by @jezweb on GitHub (Jun 26, 2025). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/4056 ## Overview Enhance LLM provider abstraction for better reliability, performance, and cost optimization across multiple providers. Related to upstream discussion: https://github.com/Mintplex-Labs/anything-llm/issues/2797 ## Current State - Good basic abstraction with BaseLLMProvider - Single provider per workspace - No failover mechanism - Limited rate limit handling ## Proposed Enhancements ### 1. Multi-Provider Architecture #### Load Balancing Strategies ```javascript class LLMLoadBalancer { constructor(providers) { this.strategies = { roundRobin: new RoundRobinStrategy(), leastCost: new CostOptimizationStrategy(), leastLatency: new LatencyOptimizationStrategy(), weighted: new WeightedRandomStrategy(), failover: new FailoverStrategy() }; } async selectProvider(request) { // Consider: cost, latency, rate limits, features return this.strategy.select(this.providers, request); } } ``` #### Provider Health Monitoring ```javascript { "provider": "openai", "status": "healthy", "metrics": { "avgLatency": 450, "errorRate": 0.001, "availability": 0.999, "rateLimitRemaining": 1000 }, "lastChecked": "2024-01-01T00:00:00Z" } ``` ### 2. Advanced Features #### Cost Optimization ```javascript class CostOptimizer { async routeRequest(request) { const estimated = { tokens: this.estimateTokens(request), complexity: this.analyzeComplexity(request) }; // Route based on cost/performance trade-off if (estimated.complexity === 'low') { return this.selectCheapestProvider(); } else { return this.selectBestValueProvider(); } } } ``` #### Request Optimization - Prompt compression - Context caching - Response caching - Batch processing ### 3. Provider Features #### Unified Request Format ```typescript interface LLMRequest { messages: Message[]; model?: string; temperature?: number; maxTokens?: number; // Advanced options functions?: Function[]; responseFormat?: 'text' < /dev/null | 'json'; streamingEnabled?: boolean; // Routing hints priority?: 'low' | 'normal' | 'high'; maxCost?: number; maxLatency?: number; } ``` #### Provider Capabilities ```javascript { "openai": { "models": ["gpt-4", "gpt-3.5-turbo"], "features": ["functions", "vision", "json-mode"], "limits": { "rpm": 3500, "tpm": 90000 } }, "anthropic": { "models": ["claude-3-opus", "claude-3-sonnet"], "features": ["long-context", "xml-tags"], "limits": { "rpm": 1000, "tpm": 100000 } } } ``` ### 4. Rate Limit Management #### Intelligent Rate Limiting ```javascript class RateLimitManager { constructor() { this.buckets = new Map(); this.queue = new PriorityQueue(); } async executeWithRateLimit(provider, request) { const bucket = this.getBucket(provider); if (bucket.hasCapacity()) { return await this.execute(provider, request); } // Queue or failover to another provider return await this.handleRateLimited(provider, request); } } ``` #### Token Management - Token counting/estimation - Budget tracking - Usage analytics - Cost alerts ### 5. Resilience Features #### Circuit Breaker ```javascript class CircuitBreaker { constructor(provider) { this.failureThreshold = 5; this.resetTimeout = 60000; this.state = 'closed'; } async call(request) { if (this.state === 'open') { throw new Error('Circuit breaker is open'); } try { const response = await this.provider.call(request); this.onSuccess(); return response; } catch (error) { this.onFailure(); throw error; } } } ``` #### Retry Strategies - Exponential backoff - Jittered retry - Provider failover - Request modification ## Implementation Plan ### Phase 1: Core Architecture 1. Create load balancer framework 2. Implement provider health checks 3. Add basic routing strategies 4. Create unified interface ### Phase 2: Optimization 1. Implement cost optimization 2. Add request caching 3. Create rate limit manager 4. Add token management ### Phase 3: Advanced Features 1. Circuit breaker implementation 2. Advanced retry strategies 3. Analytics and monitoring 4. A/B testing support ## Configuration ```env # LLM Load Balancing LLM_STRATEGY=leastCost LLM_ENABLE_FAILOVER=true LLM_HEALTH_CHECK_INTERVAL=60000 LLM_CACHE_ENABLED=true # Provider Weights LLM_WEIGHT_OPENAI=0.4 LLM_WEIGHT_ANTHROPIC=0.3 LLM_WEIGHT_LOCAL=0.3 # Cost Limits LLM_MAX_COST_PER_REQUEST=0.10 LLM_DAILY_BUDGET=100.00 ``` ## Expected Benefits - 99.99% availability with failover - 30-50% cost reduction - 2x improvement in throughput - Better rate limit handling Labels: enhancement, llm, performance, reliability
yindo closed this issue 2026-02-22 18:30:21 -05:00
yindo changed title from LLM Provider: Advanced Abstraction and Load Balancing to [GH-ISSUE #4056] LLM Provider: Advanced Abstraction and Load Balancing 2026-06-05 14:47:23 -04:00
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
Desktop
Docker
Integration Request
Integration Request
OS: Linux
OS: Mobile
OS: Windows
UI/UX
blocked
bug
bug
core-team-only
documentation
duplicate
embed-widget
enhancement
feature request
github_actions
good first issue
investigating
needs info / can't replicate
possible bug
pull-request
Mirrored from GitHub Pull Request
 question
stage: specifications
wontfix
No Label
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
yindo
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: Mintplex-Labs/anything-llm#2585
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?