llama stack start -> llama stack run

docs/cli_reference.md

@@ -242,7 +242,7 @@ An agentic app has several components including model inference, tool execution
 
 The Llama Stack is a collection of REST APIs. An API is _implemented_ by Provider. An assembly of Providers together provides the implementation for the Stack -- this package is called a Distribution.
 
-As an example, by running a simple command `llama stack start <YAML>`, you can bring up a server serving the following endpoints, among others:
+As an example, by running a simple command `llama stack run`, you can bring up a server serving the following endpoints, among others:
 ```
 POST /inference/chat_completion
 POST /inference/completion
@@ -377,12 +377,12 @@ Now let’s start Llama Stack server.
 You need the YAML configuration file which was written out at the end by the `llama stack build` step.
 
 ```
-llama stack start local --name llama-8b --port 5000
+llama stack run local --name llama-8b --port 5000
 ```
 You should see the Stack server start and print the APIs that it is supporting,
 
 ```
-$ llama stack start local --name llama-8b --port 5000
+$ llama stack run local --name llama-8b --port 5000
 
 > initializing model parallel with size 1
 > initializing ddp with size 1

llama_toolchain/cli/stack/run.py

@@ -16,17 +16,17 @@ from llama_toolchain.core.datatypes import *  # noqa: F403
 from llama_toolchain.common.config_dirs import BUILDS_BASE_DIR
 
 
-class StackStart(Subcommand):
+class StackRun(Subcommand):
     def __init__(self, subparsers: argparse._SubParsersAction):
         super().__init__()
         self.parser = subparsers.add_parser(
-            "start",
-            prog="llama stack start",
+            "run",
+            prog="llama stack run",
             description="""start the server for a Llama Stack Distribution. You should have already built (or downloaded) and configured the distribution.""",
             formatter_class=argparse.RawTextHelpFormatter,
         )
         self._add_arguments()
-        self.parser.set_defaults(func=self._run_stack_start_cmd)
+        self.parser.set_defaults(func=self._run_stack_run_cmd)
 
     def _add_arguments(self):
         from llama_toolchain.core.package import BuildType
@@ -39,7 +39,7 @@ class StackStart(Subcommand):
         self.parser.add_argument(
             "--name",
             type=str,
-            help="Name of the API build you want to start",
+            help="Name of the build you want to start",
             required=True,
         )
         self.parser.add_argument(
@@ -61,7 +61,7 @@ class StackStart(Subcommand):
             default=False,
         )
 
-    def _run_stack_start_cmd(self, args: argparse.Namespace) -> None:
+    def _run_stack_run_cmd(self, args: argparse.Namespace) -> None:
         from llama_toolchain.common.exec import run_with_pty
         from llama_toolchain.core.package import BuildType
 

llama_toolchain/cli/stack/stack.py

@@ -11,7 +11,7 @@ from llama_toolchain.cli.subcommand import Subcommand
 from .build import StackBuild
 from .configure import StackConfigure
 from .list import StackList
-from .start import StackStart
+from .run import StackRun
 
 
 class StackParser(Subcommand):
@@ -29,4 +29,4 @@ class StackParser(Subcommand):
         StackBuild.create(subparsers)
         StackConfigure.create(subparsers)
         StackList.create(subparsers)
-        StackStart.create(subparsers)
+        StackRun.create(subparsers)

llama_toolchain/core/build_conda_env.sh

@@ -125,4 +125,4 @@ else
   target="$distribution_id"
 fi
 
-$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --build-name "$build_name" --build-type conda_env
+$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --name "$build_name" --type conda_env

llama_toolchain/core/build_container.sh

@@ -117,4 +117,4 @@ else
   target="$distribution_id"
 fi
 
-$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --build-name "$build_name" --build-type container
+$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --name "$build_name" --type container