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Optillm

Optillm is a Python-based, self-hosted proxy for LLM inference that provides an OpenAI API-compatible interface and applies reasoning optimization techniques at inference time, without model training or fine-tuning.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Optillm — OpenViST project profile in AI Infrastructure & Serving.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Optillm when you want to test inference-time reasoning techniques in an OpenAI-compatible request flow and can operate a proxy alongside an LLM service.

Who it is for

  • Developers integrating LLMs through OpenAI-compatible clients.
  • Teams and researchers experimenting with inference-time reasoning techniques.
  • Operators who want a self-hosted gateway in front of an existing LLM service.

Documented uses

  • Route OpenAI-compatible inference requests through reasoning optimization methods.
  • Try techniques such as Mixture of Agents by changing the model name in an OpenAI client call.
  • Experiment with different reasoning approaches without retraining or fine-tuning the underlying model.
Before you choose

Requirements & limits

The repository identifies Optillm as open source under the Apache-2.0 license. Its quick-start example requires an OpenAI API key.

  • The proxy adds an inference layer between the client and the LLM service.
  • The repository lists more than 20 techniques, including Best-of-N, MCTS, and planning approaches.
  • The project reports benchmark improvements for particular techniques and models; performance may vary by task and configuration.
  • The README documents pip, Docker, and source installation paths.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Optillm and start its proxy

Set up the Optillm server with pip and start the proxy process.

Before you start

  • Python environment with pip
  • An OpenAI API key, as shown in the quick-start instructions

Steps

  1. Install the package with the command below.

    Documented command
    pip install optillm

  2. Set the OPENAI_API_KEY environment variable.

  3. Run optillm to start the server.

Expected outcome

The quick-start instructions show the server running as an inference proxy; the repository's example uses a local endpoint at `http://localhost:8000/v1`.

Guide limitations

  • This covers installation and server startup, not a verified request or deployment.
  • The example endpoint and model call are provided by the project; results depend on the configured LLM service and chosen technique.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
OptillmRoute OpenAI-compatible inference requests through reasoning optimization methods.Self-hosted, ServerThe repository identifies Optillm as open source under the Apache-2.0 license. Its quick-start example requires an OpenAI API key.
MorphingdbImport a libtorch model and create predictions from values in a PostgreSQL table.Docker, Linux, Self-hosted, ServerThe README documents a Docker image and a build-from-repository option, followed by connecting to PostgreSQL and enabling the pgdl extension.
Gateway — pyadavSend chat-completion requests to a provider through a common server endpoint.ServerThe repository is public and identifies the project as Apache-2.0 licensed. README installation instructions include binaries, platform package managers and Docker.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
7 October 2026
Original website title
algorithmicsuperintelligence/optillm · Official homepage title · retained in its source language
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