chore: remove --env from llama stack run

# What does this PR do?


## Test Plan
This commit is contained in:
Eric Huang 2025-10-06 14:58:57 -07:00
parent 597d405e13
commit 0751002bf3
18 changed files with 105 additions and 167 deletions

View file

@ -16,7 +16,7 @@ import yaml
from llama_stack.cli.stack.utils import ImageType
from llama_stack.cli.subcommand import Subcommand
from llama_stack.core.datatypes import LoggingConfig, StackRunConfig
from llama_stack.core.stack import cast_image_name_to_string, replace_env_vars, validate_env_pair
from llama_stack.core.stack import cast_image_name_to_string, replace_env_vars
from llama_stack.core.utils.config_resolution import Mode, resolve_config_or_distro
from llama_stack.log import get_logger
@ -57,12 +57,6 @@ class StackRun(Subcommand):
default=None,
help="Name of the image to run. Defaults to the current environment",
)
self.parser.add_argument(
"--env",
action="append",
help="Environment variables to pass to the server in KEY=VALUE format. Can be specified multiple times.",
metavar="KEY=VALUE",
)
self.parser.add_argument(
"--image-type",
type=str,
@ -162,34 +156,12 @@ class StackRun(Subcommand):
if config_file:
run_args.extend(["--config", str(config_file)])
if args.env:
for env_var in args.env:
if "=" not in env_var:
self.parser.error(f"Environment variable '{env_var}' must be in KEY=VALUE format")
return
key, value = env_var.split("=", 1) # split on first = only
if not key:
self.parser.error(f"Environment variable '{env_var}' has empty key")
return
run_args.extend(["--env", f"{key}={value}"])
run_command(run_args)
def _uvicorn_run(self, config_file: Path | None, args: argparse.Namespace) -> None:
if not config_file:
self.parser.error("Config file is required")
# Set environment variables if provided
if args.env:
for env_pair in args.env:
try:
key, value = validate_env_pair(env_pair)
logger.info(f"Setting environment variable {key} => {value}")
os.environ[key] = value
except ValueError as e:
logger.error(f"Error: {str(e)}")
self.parser.error(f"Invalid environment variable format: {env_pair}")
config_file = resolve_config_or_distro(str(config_file), Mode.RUN)
with open(config_file) as fp:
config_contents = yaml.safe_load(fp)

View file

@ -274,22 +274,6 @@ def cast_image_name_to_string(config_dict: dict[str, Any]) -> dict[str, Any]:
return config_dict
def validate_env_pair(env_pair: str) -> tuple[str, str]:
"""Validate and split an environment variable key-value pair."""
try:
key, value = env_pair.split("=", 1)
key = key.strip()
if not key:
raise ValueError(f"Empty key in environment variable pair: {env_pair}")
if not all(c.isalnum() or c == "_" for c in key):
raise ValueError(f"Key must contain only alphanumeric characters and underscores: {key}")
return key, value
except ValueError as e:
raise ValueError(
f"Invalid environment variable format '{env_pair}': {str(e)}. Expected format: KEY=value"
) from e
def add_internal_implementations(impls: dict[Api, Any], run_config: StackRunConfig) -> None:
"""Add internal implementations (inspect and providers) to the implementations dictionary.

View file

@ -25,7 +25,7 @@ error_handler() {
trap 'error_handler ${LINENO}' ERR
if [ $# -lt 3 ]; then
echo "Usage: $0 <env_type> <env_path_or_name> <port> [--config <yaml_config>] [--env KEY=VALUE]..."
echo "Usage: $0 <env_type> <env_path_or_name> <port> [--config <yaml_config>]"
exit 1
fi
@ -43,7 +43,6 @@ SCRIPT_DIR=$(dirname "$(readlink -f "$0")")
# Initialize variables
yaml_config=""
env_vars=""
other_args=""
# Process remaining arguments
@ -58,15 +57,6 @@ while [[ $# -gt 0 ]]; do
exit 1
fi
;;
--env)
if [[ -n "$2" ]]; then
env_vars="$env_vars --env $2"
shift 2
else
echo -e "${RED}Error: --env requires a KEY=VALUE argument${NC}" >&2
exit 1
fi
;;
*)
other_args="$other_args $1"
shift
@ -119,7 +109,6 @@ if [[ "$env_type" == "venv" ]]; then
llama stack run \
$yaml_config_arg \
--port "$port" \
$env_vars \
$other_args
elif [[ "$env_type" == "container" ]]; then
echo -e "${RED}Warning: Llama Stack no longer supports running Containers via the 'llama stack run' command.${NC}"

View file

@ -117,11 +117,11 @@ docker run -it \
# NOTE: mount the llama-stack directory if testing local changes else not needed
-v $HOME/git/llama-stack:/app/llama-stack-source \
# localhost/distribution-dell:dev if building / testing locally
-e INFERENCE_MODEL=$INFERENCE_MODEL \
-e DEH_URL=$DEH_URL \
-e CHROMA_URL=$CHROMA_URL \
llamastack/distribution-{{ name }}\
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=$INFERENCE_MODEL \
--env DEH_URL=$DEH_URL \
--env CHROMA_URL=$CHROMA_URL
--port $LLAMA_STACK_PORT
```
@ -142,14 +142,14 @@ docker run \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v $HOME/.llama:/root/.llama \
-v ./llama_stack/distributions/tgi/run-with-safety.yaml:/root/my-run.yaml \
-e INFERENCE_MODEL=$INFERENCE_MODEL \
-e DEH_URL=$DEH_URL \
-e SAFETY_MODEL=$SAFETY_MODEL \
-e DEH_SAFETY_URL=$DEH_SAFETY_URL \
-e CHROMA_URL=$CHROMA_URL \
llamastack/distribution-{{ name }} \
--config /root/my-run.yaml \
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=$INFERENCE_MODEL \
--env DEH_URL=$DEH_URL \
--env SAFETY_MODEL=$SAFETY_MODEL \
--env DEH_SAFETY_URL=$DEH_SAFETY_URL \
--env CHROMA_URL=$CHROMA_URL
--port $LLAMA_STACK_PORT
```
### Via Conda
@ -158,21 +158,21 @@ Make sure you have done `pip install llama-stack` and have the Llama Stack CLI a
```bash
llama stack build --distro {{ name }} --image-type conda
llama stack run {{ name }}
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=$INFERENCE_MODEL \
--env DEH_URL=$DEH_URL \
--env CHROMA_URL=$CHROMA_URL
INFERENCE_MODEL=$INFERENCE_MODEL \
DEH_URL=$DEH_URL \
CHROMA_URL=$CHROMA_URL \
llama stack run {{ name }} \
--port $LLAMA_STACK_PORT
```
If you are using Llama Stack Safety / Shield APIs, use:
```bash
INFERENCE_MODEL=$INFERENCE_MODEL \
DEH_URL=$DEH_URL \
SAFETY_MODEL=$SAFETY_MODEL \
DEH_SAFETY_URL=$DEH_SAFETY_URL \
CHROMA_URL=$CHROMA_URL \
llama stack run ./run-with-safety.yaml \
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=$INFERENCE_MODEL \
--env DEH_URL=$DEH_URL \
--env SAFETY_MODEL=$SAFETY_MODEL \
--env DEH_SAFETY_URL=$DEH_SAFETY_URL \
--env CHROMA_URL=$CHROMA_URL
--port $LLAMA_STACK_PORT
```

View file

@ -72,9 +72,9 @@ docker run \
--gpu all \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ~/.llama:/root/.llama \
-e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
llamastack/distribution-{{ name }} \
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct
--port $LLAMA_STACK_PORT
```
If you are using Llama Stack Safety / Shield APIs, use:
@ -86,10 +86,10 @@ docker run \
--gpu all \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ~/.llama:/root/.llama \
-e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
-e SAFETY_MODEL=meta-llama/Llama-Guard-3-1B \
llamastack/distribution-{{ name }} \
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
--env SAFETY_MODEL=meta-llama/Llama-Guard-3-1B
--port $LLAMA_STACK_PORT
```
### Via venv
@ -98,16 +98,16 @@ Make sure you have done `uv pip install llama-stack` and have the Llama Stack CL
```bash
llama stack build --distro {{ name }} --image-type venv
INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
llama stack run distributions/{{ name }}/run.yaml \
--port 8321 \
--env INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct
--port 8321
```
If you are using Llama Stack Safety / Shield APIs, use:
```bash
INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
SAFETY_MODEL=meta-llama/Llama-Guard-3-1B \
llama stack run distributions/{{ name }}/run-with-safety.yaml \
--port 8321 \
--env INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
--env SAFETY_MODEL=meta-llama/Llama-Guard-3-1B
--port 8321
```

View file

@ -118,10 +118,10 @@ docker run \
--pull always \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ./run.yaml:/root/my-run.yaml \
-e NVIDIA_API_KEY=$NVIDIA_API_KEY \
llamastack/distribution-{{ name }} \
--config /root/my-run.yaml \
--port $LLAMA_STACK_PORT \
--env NVIDIA_API_KEY=$NVIDIA_API_KEY
--port $LLAMA_STACK_PORT
```
### Via venv
@ -131,10 +131,10 @@ If you've set up your local development environment, you can also build the imag
```bash
INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct
llama stack build --distro nvidia --image-type venv
NVIDIA_API_KEY=$NVIDIA_API_KEY \
INFERENCE_MODEL=$INFERENCE_MODEL \
llama stack run ./run.yaml \
--port 8321 \
--env NVIDIA_API_KEY=$NVIDIA_API_KEY \
--env INFERENCE_MODEL=$INFERENCE_MODEL
--port 8321
```
## Example Notebooks