LLM Providers Overview

AxonFlow supports multiple LLM providers out of the box, allowing you to choose the best provider for your use case, compliance requirements, and cost constraints.

Supported Providers

Provider	Models	Best For	Edition
OpenAI	GPT-4, GPT-4o, GPT-3.5-turbo	General purpose, latest capabilities	Community
Anthropic	Claude 3.5 Sonnet, Claude 3 Opus	Long context, safety-focused	Community
Google Gemini	Gemini Pro, Gemini Flash	Multimodal, Google ecosystem	Community
Ollama	Llama 3.1, Mistral, Mixtral	Self-hosted, air-gapped environments	Community
AWS Bedrock	Claude, Llama, Titan, Mistral	HIPAA compliance, VPC isolation	Enterprise
Custom	Any	Custom providers via SDK	Community

Provider Selection

Choose your LLM provider based on:

Compliance Requirements

Requirement	Recommended Provider
HIPAA	AWS Bedrock with VPC endpoints
FedRAMP	Ollama (self-hosted) or AWS GovCloud
Air-gapped	Ollama
Data residency	Bedrock (regional) or Ollama

Cost Optimization

Provider	Cost per 1K tokens (approx)	Best For
Ollama	$0 (hardware only)	High volume, predictable cost
Bedrock (Claude)	$0.015	HIPAA with cost savings
OpenAI (GPT-4o)	$0.005	General purpose
Anthropic (Sonnet)	$0.003	Cost-effective quality

Latency

Provider	Typical Latency	Best For
Ollama	50-200ms	Real-time applications
OpenAI	200-500ms	Interactive apps
Bedrock	300-800ms	Batch processing

Configuration

Environment Variables

The simplest way to configure providers:

# OpenAI
export OPENAI_API_KEY=sk-xxx

# Anthropic
export ANTHROPIC_API_KEY=sk-ant-xxx

# AWS Bedrock (uses AWS credential chain)
export AWS_REGION=us-east-1
export AWS_ACCESS_KEY_ID=xxx
export AWS_SECRET_ACCESS_KEY=xxx

# Google Gemini
export GOOGLE_API_KEY=xxx

# Ollama
export OLLAMA_ENDPOINT=http://localhost:11434

YAML Configuration

For more control, use YAML configuration:

# axonflow.yaml
version: "1.0"

llm_providers:
  openai:
    enabled: true
    config:
      model: gpt-4o
      max_tokens: 4096
    credentials:
      api_key: ${OPENAI_API_KEY}
    priority: 10
    weight: 0.5

  anthropic:
    enabled: true
    config:
      model: claude-3-5-sonnet-20241022
      max_tokens: 8192
    credentials:
      api_key: ${ANTHROPIC_API_KEY}
    priority: 8
    weight: 0.3

  bedrock:
    enabled: true
    config:
      model: anthropic.claude-3-5-sonnet-20241022-v2:0
      region: us-east-1
      max_tokens: 4096
    priority: 5
    weight: 0.2

  ollama:
    enabled: true
    config:
      endpoint: ${OLLAMA_ENDPOINT:-http://localhost:11434}
      model: llama3.1:70b
    priority: 3
    weight: 0.0  # Fallback only

Multi-Provider Routing

AxonFlow supports intelligent routing across multiple providers:

Routing Strategies

Strategy	Description	Use Case
Priority	Use highest priority available	Failover scenarios
Weighted	Distribute by weight	Load balancing
Cost-Optimized	Route to cheapest first	Cost reduction
Round-Robin	Even distribution	Even load distribution

Automatic Failover

When a provider fails:

1. Request is retried with exponential backoff
2. After threshold failures, provider is marked unhealthy
3. Traffic automatically routes to healthy providers
4. Health checks restore provider when recovered

Circuit Breaker

Prevents cascading failures:

• Opens after configurable failure threshold (default: 5)
• Blocks requests to unhealthy provider
• Automatically closes after reset timeout

Provider-Specific Guides

• OpenAI Setup - GPT-4o and GPT models (Community)
• Anthropic Setup - Claude models (Community)
• Google Gemini Setup - Gemini models (Community)
• Ollama Setup - Self-hosted deployment (Community)
• AWS Bedrock Setup - HIPAA-compliant deployment (Enterprise)
• Custom Provider SDK - Build your own provider

Enterprise Features

Enterprise customers get additional capabilities via the Customer Portal:

• Runtime Configuration - Change providers without redeployment
• Credential Management - Secure API key storage and rotation
• Advanced Monitoring - Per-provider metrics and cost tracking
• SLA Management - Provider-specific SLOs and alerting

See Enterprise Provider Features for details.