Fixes to the llama stack configure script + inference adapters

llama_toolchain/cli/stack/configure.py

@@ -40,8 +40,7 @@ class StackConfigure(Subcommand):
         self.parser.add_argument(
             "distribution",
             type=str,
-            choices=allowed_ids,
+            help='Distribution ("adhoc" or one of: {})'.format(allowed_ids),
-            help="Distribution (one of: {})".format(allowed_ids),
         )
         self.parser.add_argument(
             "--name",
@@ -79,17 +78,10 @@ class StackConfigure(Subcommand):
 def configure_llama_distribution(config_file: Path) -> None:
     from llama_toolchain.common.serialize import EnumEncoder
     from llama_toolchain.core.configure import configure_api_providers
-    from llama_toolchain.core.distribution_registry import resolve_distribution_spec
 
     with open(config_file, "r") as f:
         config = PackageConfig(**yaml.safe_load(f))
 
-    dist = resolve_distribution_spec(config.distribution_id)
-    if dist is None:
-        raise ValueError(
-            f"Could not find any registered distribution `{config.distribution_id}`"
-        )
-
     if config.providers:
         cprint(
             f"Configuration already exists for {config.distribution_id}. Will overwrite...",

llama_toolchain/cli/stack/list_apis.py

@@ -0,0 +1,47 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+import argparse
+
+from llama_toolchain.cli.subcommand import Subcommand
+
+
+class StackListApis(Subcommand):
+    def __init__(self, subparsers: argparse._SubParsersAction):
+        super().__init__()
+        self.parser = subparsers.add_parser(
+            "list-apis",
+            prog="llama stack list-apis",
+            description="List APIs part of the Llama Stack implementation",
+            formatter_class=argparse.RawTextHelpFormatter,
+        )
+        self._add_arguments()
+        self.parser.set_defaults(func=self._run_apis_list_cmd)
+
+    def _add_arguments(self):
+        pass
+
+    def _run_apis_list_cmd(self, args: argparse.Namespace) -> None:
+        from llama_toolchain.cli.table import print_table
+        from llama_toolchain.core.distribution import stack_apis
+
+        # eventually, this should query a registry at llama.meta.com/llamastack/distributions
+        headers = [
+            "API",
+        ]
+
+        rows = []
+        for api in stack_apis():
+            rows.append(
+                [
+                    api.value,
+                ]
+            )
+        print_table(
+            rows,
+            headers,
+            separate_rows=True,
+        )

llama_toolchain/cli/stack/list_distributions.py

@@ -10,7 +10,7 @@ import json
 from llama_toolchain.cli.subcommand import Subcommand
 
 
-class StackList(Subcommand):
+class StackListDistributions(Subcommand):
     def __init__(self, subparsers: argparse._SubParsersAction):
         super().__init__()
         self.parser = subparsers.add_parser(

llama_toolchain/cli/stack/list_providers.py

@@ -0,0 +1,60 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+import argparse
+
+from llama_toolchain.cli.subcommand import Subcommand
+
+
+class StackListProviders(Subcommand):
+    def __init__(self, subparsers: argparse._SubParsersAction):
+        super().__init__()
+        self.parser = subparsers.add_parser(
+            "list-providers",
+            prog="llama stack list-providers",
+            description="Show available Llama Stack Providers for an API",
+            formatter_class=argparse.RawTextHelpFormatter,
+        )
+        self._add_arguments()
+        self.parser.set_defaults(func=self._run_providers_list_cmd)
+
+    def _add_arguments(self):
+        from llama_toolchain.core.distribution import stack_apis
+
+        api_values = [a.value for a in stack_apis()]
+        self.parser.add_argument(
+            "api",
+            type=str,
+            choices=api_values,
+            help="API to list providers for (one of: {})".format(api_values),
+        )
+
+    def _run_providers_list_cmd(self, args: argparse.Namespace) -> None:
+        from llama_toolchain.cli.table import print_table
+        from llama_toolchain.core.distribution import Api, api_providers
+
+        all_providers = api_providers()
+        providers_for_api = all_providers[Api(args.api)]
+
+        # eventually, this should query a registry at llama.meta.com/llamastack/distributions
+        headers = [
+            "Provider ID",
+            "PIP Package Dependencies",
+        ]
+
+        rows = []
+        for spec in providers_for_api.values():
+            rows.append(
+                [
+                    spec.provider_id,
+                    ",".join(spec.pip_packages),
+                ]
+            )
+        print_table(
+            rows,
+            headers,
+            separate_rows=True,
+        )

llama_toolchain/cli/stack/stack.py

@@ -10,7 +10,9 @@ from llama_toolchain.cli.subcommand import Subcommand
 
 from .build import StackBuild
 from .configure import StackConfigure
-from .list import StackList
+from .list_apis import StackListApis
+from .list_distributions import StackListDistributions
+from .list_providers import StackListProviders
 from .run import StackRun
 
 
@@ -28,5 +30,7 @@ class StackParser(Subcommand):
         # Add sub-commands
         StackBuild.create(subparsers)
         StackConfigure.create(subparsers)
-        StackList.create(subparsers)
+        StackListApis.create(subparsers)
+        StackListDistributions.create(subparsers)
+        StackListProviders.create(subparsers)
         StackRun.create(subparsers)

llama_toolchain/core/build_conda_env.sh

@@ -117,12 +117,4 @@ ensure_conda_env_python310 "$env_name" "$pip_dependencies"
 
 printf "${GREEN}Successfully setup conda environment. Configuring build...${NC}\n"
 
-if [ "$distribution_id" = "adhoc" ]; then
+$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama stack configure $distribution_id --name "$build_name" --type conda_env
-  subcommand="api"
-  target=""
-else
-  subcommand="stack"
-  target="$distribution_id"
-fi
-
-$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --name "$build_name" --type conda_env

llama_toolchain/core/build_container.sh

@@ -109,12 +109,4 @@ set +x
 printf "${GREEN}Succesfully setup Podman image. Configuring build...${NC}"
 echo "You can run it with: podman run -p 8000:8000 $image_name"
 
-if [ "$distribution_id" = "adhoc" ]; then
+$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama stack configure $distribution_id --name "$build_name" --type container
-  subcommand="api"
-  target=""
-else
-  subcommand="stack"
-  target="$distribution_id"
-fi
-
-$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --name "$build_name" --type container

llama_toolchain/inference/adapters/fireworks/__init__.py

@@ -7,7 +7,7 @@
 from .config import FireworksImplConfig
 
 
-async def get_adapter_impl(config: FireworksImplConfig, _deps) -> Inference:
+async def get_adapter_impl(config: FireworksImplConfig, _deps):
     from .fireworks import FireworksInferenceAdapter
 
     assert isinstance(

llama_toolchain/inference/adapters/fireworks/config.py

@@ -11,7 +11,7 @@ from pydantic import BaseModel, Field
 @json_schema_type
 class FireworksImplConfig(BaseModel):
     url: str = Field(
-        default="https://api.fireworks.api/inference",
+        default="https://api.fireworks.ai/inference",
         description="The URL for the Fireworks server",
     )
     api_key: str = Field(

llama_toolchain/inference/adapters/together/__init__.py

@@ -7,7 +7,7 @@
 from .config import TogetherImplConfig
 
 
-async def get_adapter_impl(config: TogetherImplConfig, _deps) -> Inference:
+async def get_adapter_impl(config: TogetherImplConfig, _deps):
     from .together import TogetherInferenceAdapter
 
     assert isinstance(

llama_toolchain/inference/providers.py

@@ -42,8 +42,8 @@ def available_inference_providers() -> List[ProviderSpec]:
                 pip_packages=[
                     "fireworks-ai",
                 ],
-                module="llama_toolchain.inference.fireworks",
+                module="llama_toolchain.inference.adapters.fireworks",
-                config_class="llama_toolchain.inference.fireworks.FireworksImplConfig",
+                config_class="llama_toolchain.inference.adapters.fireworks.FireworksImplConfig",
             ),
         ),
         remote_provider_spec(
@@ -53,8 +53,8 @@ def available_inference_providers() -> List[ProviderSpec]:
                 pip_packages=[
                     "together",
                 ],
-                module="llama_toolchain.inference.together",
+                module="llama_toolchain.inference.adapters.together",
-                config_class="llama_toolchain.inference.together.TogetherImplConfig",
+                config_class="llama_toolchain.inference.adapters.together.TogetherImplConfig",
             ),
         ),
     ]