You can find the following examples to interact with OpenLLM features. See more here

The openai_completion_client.py demos how to use the OpenAI-compatible /v1/completions to generate text.

export OPENLLM_ENDPOINT=https://api.openllm.com
python openai_completion_client.py

# For streaming set STREAM=True
STREAM=True python openai_completion_client.py

The openai_chat_completion_client.py demos how to use the OpenAI-compatible /v1/chat/completions to chat with a model.

export OPENLLM_ENDPOINT=https://api.openllm.com
python openai_chat_completion_client.py

# For streaming set STREAM=True
STREAM=True python openai_chat_completion_client.py

The api_server.py demos how one can easily write production-ready BentoML service with OpenLLM and vLLM.

Install requirements:

pip install -U "openllm[vllm]"

To serve the Bento (given you have access to GPU):

bentoml serve api_server:svc

To build the Bento do the following:

bentoml build -f bentofile.yaml .