Introduce Llama stack distributions (#22)

* Add distribution CLI scaffolding

* More progress towards `llama distribution install`

* getting closer to a distro definition, distro install + configure works

* Distribution server now functioning

* read existing configuration, save enums properly

* Remove inference uvicorn server entrypoint and llama inference CLI command

* updated dependency and client model name

* Improved exception handling

* local imports for faster cli

* undo a typo, add a passthrough distribution

* implement full-passthrough in the server

* add safety adapters, configuration handling, server + clients

* cleanup, moving stuff to common, nuke utils

* Add a Path() wrapper at the earliest place

* fixes

* Bring agentic system api to toolchain

Add adapter dependencies and resolve adapters using a topological sort

* refactor to reduce size of `agentic_system`

* move straggler files and fix some important existing bugs

* ApiSurface -> Api

* refactor a method out

* Adapter -> Provider

* Make each inference provider into its own subdirectory

* installation fixes

* Rename Distribution -> DistributionSpec, simplify RemoteProviders

* dict key instead of attr

* update inference config to take model and not model_dir

* Fix passthrough streaming, send headers properly not part of body :facepalm

* update safety to use model sku ids and not model dirs

* Update cli_reference.md

* minor fixes

* add DistributionConfig, fix a bug in model download

* Make install + start scripts do proper configuration automatically

* Update CLI_reference

* Nuke fp8_requirements, fold fbgemm into common requirements

* Update README, add newline between API surface configurations

* Refactor download functionality out of the Command so can be reused

* Add `llama model download` alias for `llama download`

* Show message about checksum file so users can check themselves

* Simpler intro statements

* get ollama working

* Reduce a bunch of dependencies from toolchain

Some improvements to the distribution install script

* Avoid using `conda run` since it buffers everything

* update dependencies and rely on LLAMA_TOOLCHAIN_DIR for dev purposes

* add validation for configuration input

* resort imports

* make optional subclasses default to yes for configuration

* Remove additional_pip_packages; move deps to providers

* for inline make 8b model the default

* Add scripts to MANIFEST

* allow installing from test.pypi.org

* Fix #2 to help with testing packages

* Must install llama-models at that same version first

* fix PIP_ARGS

---------

Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Hardik Shah <hjshah@meta.com>

llama_toolchain/cli/model/model.py

@@ -5,9 +5,9 @@
 # the root directory of this source tree.
 
 import argparse
-import textwrap
 
 from llama_toolchain.cli.model.describe import ModelDescribe
+from llama_toolchain.cli.model.download import ModelDownload
 from llama_toolchain.cli.model.list import ModelList
 from llama_toolchain.cli.model.template import ModelTemplate
 
@@ -22,18 +22,13 @@ class ModelParser(Subcommand):
         self.parser = subparsers.add_parser(
             "model",
             prog="llama model",
-            description="Describe llama model interfaces",
-            epilog=textwrap.dedent(
-                """
-                Example:
-                    llama model <subcommand> <options>
-                """
-            ),
+            description="Work with llama models",
         )
 
         subparsers = self.parser.add_subparsers(title="model_subcommands")
 
-        # Add sub-commandsa
-        ModelTemplate.create(subparsers)
+        # Add sub-commands
+        ModelDownload.create(subparsers)
         ModelList.create(subparsers)
+        ModelTemplate.create(subparsers)
         ModelDescribe.create(subparsers)