llm-fallback 0.1.0

Automatic failover between LLM providers. When OpenAI is down, seamlessly switch to Anthropic, Google, or any backup.

llm-fallback

Automatic failover between LLM providers. When OpenAI is down, seamlessly switch to Anthropic, Google, or any backup. Circuit breaker, retry logic, and latency-based routing built in.

The Pain

OpenAI goes down at 2 AM and your production chatbot returns 500s for 3 hours. Your users are furious. You could have fallen back to Claude or Gemini, but your code is hardwired to one provider.

Install

pip install llm-fallback

Quick Start

from llm_fallback import FallbackChain, Provider

chain = FallbackChain([
    Provider("openai", model="gpt-4o", api_key="sk-..."),
    Provider("anthropic", model="claude-3-5-sonnet-20241022", api_key="sk-ant-..."),
    Provider("openai", model="gpt-3.5-turbo", api_key="sk-..."),  # cheaper backup
])

# Tries providers in order until one succeeds
response = chain.chat("What is the capital of France?")
print(response.content)     # "The capital of France is Paris."
print(response.provider)    # "openai" (or whichever succeeded)
print(response.model)       # "gpt-4o"
print(response.latency_ms)  # 450

With Messages

response = chain.chat(
    messages=[
        {"role": "system", "content": "You are helpful."},
        {"role": "user", "content": "Explain quantum computing"},
    ],
    temperature=0.7,
    max_tokens=500,
)

Circuit Breaker

Automatically stops trying a provider that's failing:

chain = FallbackChain(
    providers=[...],
    circuit_breaker=True,       # Enable circuit breaker
    failure_threshold=3,        # Open after 3 consecutive failures
    recovery_timeout=60,        # Try again after 60 seconds
    timeout=30,                 # Per-request timeout
)

Latency-Based Routing

Route to the fastest provider instead of fixed order:

chain = FallbackChain(
    providers=[...],
    strategy="latency",  # "ordered" (default) or "latency"
)
# Tracks response times and prefers the fastest healthy provider

Provider Configuration

Provider(
    name="openai",          # Provider identifier
    model="gpt-4o",         # Model name
    api_key="sk-...",       # API key
    base_url=None,          # Custom endpoint (for proxies/self-hosted)
    timeout=30,             # Request timeout in seconds
    weight=1.0,             # Priority weight for routing
)

Supported Providers

Provider	Name string	Notes
OpenAI	"openai"	GPT-4o, GPT-3.5, etc.
Anthropic	"anthropic"	Claude 3/3.5/4
Google	"google"	Gemini (requires google-generativeai)
OpenAI-compatible	"openai" with base_url	Ollama, vLLM, Together, Groq, etc.

Callbacks

def on_failover(from_provider, to_provider, error):
    print(f"Failing over from {from_provider} to {to_provider}: {error}")
    slack_alert(f"LLM failover: {from_provider} -> {to_provider}")

chain = FallbackChain(
    providers=[...],
    on_failover=on_failover,
    on_success=lambda r: metrics.record(r.provider, r.latency_ms),
)

Features

• Automatic failover — tries next provider on any error
• Circuit breaker — stops hammering a dead provider
• Latency routing — prefer the fastest healthy provider
• Retry with backoff — configurable retry per provider
• Timeout enforcement — per-request timeouts
• Unified API — same interface regardless of provider
• Callbacks — hook into failover events for alerting
• Zero required deps — only needs the provider SDK you're already using

License

MIT