serve-local-model-endpoints-for-agent-tests-with-openllm

name	Serve local model endpoints for agent tests with OpenLLM
slug	serve-local-model-endpoints-for-agent-tests-with-openllm
description	Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.
github_stars	12346
verification	security_reviewed
source	https://github.com/bentoml/OpenLLM
author	BentoML
publisher_type	open-source organization
category	Developer Tools
framework	Multi-Framework
tool_ecosystem	{"github_repo":"bentoml/OpenLLM","github_stars":12346,"npm_package":"openllm","npm_weekly_downloads":6}

Serve local model endpoints for agent tests with OpenLLM

Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.

Prerequisites

OpenLLM, Python environment, supported open model, required GPU/CPU resources, Hugging Face token for gated models, agent runtime or SDK that can call an OpenAI-compatible endpoint.

Installation

Use the upstream install or setup path that matches your environment:

• pip install openllm # or pip3 install openllm

Requirements and caveats from upstream:

• OpenAI Python client
• python

Basic usage or getting-started notes:

• OpenLLM allows developers to run any open-source LLMs (Llama 3.3, Qwen2.5, Phi3 and more) or custom models as OpenAI-compatible APIs with a single command. It features a [built-in chat...

• Run the following commands to install OpenLLM and explore it interactively.

• OpenLLM supports a wide range of state-of-the-art open-source LLMs. You can also add a model repository to run custom models with OpenLLM.

• Source: https://github.com/bentoml/OpenLLM

• Extracted from upstream docs: https://raw.githubusercontent.com/bentoml/OpenLLM/HEAD/README.md

Documentation

• https://github.com/bentoml/OpenLLM

Source

• Agent Skill Exchange