Where Fast LiteLLM earns its place
Acceleration only matters where you're actually bottlenecked. These are the workloads where Fast LiteLLM's wins — connection pooling, rate-limit memory, large-text tokenization — line up with a real problem.
High-traffic LiteLLM proxy
A shared LLM gateway serving many concurrent apps and teams.
Connection poolFeature flagsAutomatic fallback
Read the use case → Multi-tenant rate limiting
Thousands of unique API keys, each tracked and throttled separately.
Rate limiterAutomatic fallbackCircuit breaker
Read the use case → Long-document & batch processing
RAG ingestion and pipelines that tokenize large texts on the hot path.
Token counterFeature flags
Read the use case → Cost-conscious scale-up
Doing more with the same compute before adding servers.
Connection poolRate limiterPerformance monitoring
Read the use case →