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OptiLLM
OptiLLM is an OpenAI API-compatible inference proxy that applies 20+ techniques like MCTS and best-of-N sampling to improve language model reasoning accuracy.
OptiLLM functions as an inference proxy designed to improve the reasoning performance of language models. It sits between an application and an LLM provider, applying algorithms such as Monte Carlo Tree Search, best-of-N sampling, and chain-of-thought reflection at inference time. The tool serves as a drop-in replacement for OpenAI-compatible APIs, requiring no model fine-tuning. It supports providers including OpenAI, Anthropic, Google, and Cerebras, alongside 100+ models via LiteLLM integration. Users specify optimization techniques by prepending a slug to the model name in API requests. It aids tasks involving math, coding, and logical reasoning.
OptiLLM at a glance
Key features
- OpenAI-compatible API proxy
- 20+ inference-time optimization techniques
- Support for 100+ models via LiteLLM
- Multi-provider compatibility
- Docker deployment options
- Configurable SSL verification
- PII anonymization plugin
- Web search and URL content fetching
Use it for
- Improving accuracy on complex math problems
- Enhancing code generation reasoning
- Executing logic-based reasoning tasks
- Conducting research with automated web search
Alternatives to OptiLLM
- OpenLLM — It simplifies infrastructure management and optimizes inference speed and cost.
- LiteLLM — One OpenAI-format API for 100+ LLM providers
- WebLLM — Runs high-performance language models directly inside web browsers.
- LMDeploy — Accelerates inference with high-performance engines and quantization tools.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
- llm-d — Deploys production-grade LLM serving on existing hardware clusters.
- MLC LLM — Enables native optimization and deployment of AI models across platforms.
- Opik — It offers comprehensive tracing, automated evaluations, and open-source flexibility.
- oMLX — It uses paged SSD KV caching to reduce agent TTFT to under 5 seconds.
- OpenCode — Works with 75+ model providers, local models, and existing subscriptions
- vLLM — Maximizes throughput with PagedAttention and continuous batching.
All OptiLLM alternatives