| 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:
Documentation
Source
