phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-07-19 03:10:03 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix: Default to port 8321 everywhere (#1734)

Browse source 
As titled, moved all instances of 5001 to 8321
This commit is contained in:
Hardik Shah 2025-03-20 15:50:41 -07:00 • committed by GitHub
parent 581e8ae562
commit 127bac6869
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
56 changed files with 2352 additions and 2305 deletions
Download patch file Download diff file Expand all files Collapse all files

6
docs/source/distributions/self_hosted_distro/remote-vllm.md
View file

@ -31,7 +31,7 @@ You can use this distribution if you have GPUs and want to run an independent vL
The following environment variables can be configured:
- `LLAMA_STACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
- `LLAMA_STACK_PORT`: Port for the Llama Stack distribution server (default: `8321`)
- `INFERENCE_MODEL`: Inference model loaded into the vLLM server (default: `meta-llama/Llama-3.2-3B-Instruct`)
- `VLLM_URL`: URL of the vLLM server with the main inference model (default: `http://host.docker.internal:5100/v1`)
- `MAX_TOKENS`: Maximum number of tokens for generation (default: `4096`)
@ -96,7 +96,7 @@ This method allows you to get started quickly without having to build the distri
```bash
export INFERENCE_PORT=8000
export INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct
export LLAMA_STACK_PORT=5001
export LLAMA_STACK_PORT=8321
docker run \
-it \
@ -143,7 +143,7 @@ Make sure you have done `uv pip install llama-stack` and have the Llama Stack CL
```bash
export INFERENCE_PORT=8000
export INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct
export LLAMA_STACK_PORT=5001
export LLAMA_STACK_PORT=8321
cd distributions/remote-vllm
llama stack build --template remote-vllm --image-type conda