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vLLM

To use Letta with vLLM, set the environment variable VLLM_API_BASE to point to your vLLM ChatCompletions server.

Setting up vLLM

  1. Download + install vLLM
  2. Launch a vLLM OpenAI-compatible API server using the official vLLM documentation

For example, if we want to use the model dolphin-2.2.1-mistral-7b from HuggingFace, we would run:

1python -m vllm.entrypoints.openai.api_server \
2--model ehartford/dolphin-2.2.1-mistral-7b

vLLM will automatically download the model (if it’s not already downloaded) and store it in your HuggingFace cache directory.

Enabling vLLM with Docker

To enable vLLM models when running the Letta server with Docker, set the VLLM_API_BASE environment variable.

macOS/Windows: Since vLLM is running on the host network, you will need to use host.docker.internal to connect to the vLLM server instead of localhost.

$# replace `~/.letta/.persist/pgdata` with wherever you want to store your agent data
>docker run \
>  -v ~/.letta/.persist/pgdata:/var/lib/postgresql/data \
>  -p 8283:8283 \
>  -e VLLM_API_BASE="http://host.docker.internal:8000" \
>  letta/letta:latest

Linux: Use --network host and localhost:

$docker run \
>  -v ~/.letta/.persist/pgdata:/var/lib/postgresql/data \
>  --network host \
>  -e VLLM_API_BASE="http://localhost:8000" \
>  letta/letta:latest

See the self-hosting guide for more information on running Letta with Docker.