refactor: enforce top-level imports for llama-stack-api

Enforce that all imports from llama-stack-api use the form:

from llama_stack_api import <symbol>

 This prevents external code from accessing internal package structure
 (e.g., llama_stack_api.agents, llama_stack_api.common.*) and establishes
 a clear public API boundary.

 Changes:
 - Export 400+ symbols from llama_stack_api/__init__.py
 - Include all API types, common utilities, and strong_typing helpers
 - Update files across src/llama_stack, docs/, tests/, scripts/
 - Convert all submodule imports to top-level imports
 - ensure docs use the proper importing structure

 Addresses PR review feedback requiring explicit __all__ definition to
 prevent "peeking inside" the API package.

Signed-off-by: Charlie Doern <cdoern@redhat.com>

docs/docs/concepts/apis/external.mdx

@@ -58,7 +58,7 @@ External APIs must expose a `available_providers()` function in their module tha
 
 ```python
 # llama_stack_api_weather/api.py
-from llama_stack_api.providers.datatypes import Api, InlineProviderSpec, ProviderSpec
+from llama_stack_api import Api, InlineProviderSpec, ProviderSpec
 
 
 def available_providers() -> list[ProviderSpec]:
@@ -79,7 +79,7 @@ A Protocol class like so:
 # llama_stack_api_weather/api.py
 from typing import Protocol
 
-from llama_stack_api.schema_utils import webmethod
+from llama_stack_api import webmethod
 
 
 class WeatherAPI(Protocol):
@@ -151,13 +151,12 @@ __all__ = ["WeatherAPI", "available_providers"]
 # llama-stack-api-weather/src/llama_stack_api_weather/weather.py
 from typing import Protocol
 
-from llama_stack_api.providers.datatypes import (
+from llama_stack_api import (
     Api,
     ProviderSpec,
     RemoteProviderSpec,
+    webmethod,
 )
-from llama_stack_api.schema_utils import webmethod
-
 
 def available_providers() -> list[ProviderSpec]:
     return [

docs/docs/providers/vector_io/inline_sqlite-vec.mdx

@@ -153,7 +153,7 @@ description: |
   Example using RAGQueryConfig with different search modes:
 
   ```python
-  from llama_stack_api.rag_tool import RAGQueryConfig, RRFRanker, WeightedRanker
+  from llama_stack_api import RAGQueryConfig, RRFRanker, WeightedRanker
 
   # Vector search
   config = RAGQueryConfig(mode="vector", max_chunks=5)
@@ -358,7 +358,7 @@ Two ranker types are supported:
 Example using RAGQueryConfig with different search modes:
 
 ```python
-from llama_stack_api.rag_tool import RAGQueryConfig, RRFRanker, WeightedRanker
+from llama_stack_api import RAGQueryConfig, RRFRanker, WeightedRanker
 
 # Vector search
 config = RAGQueryConfig(mode="vector", max_chunks=5)

docs/openapi_generator/generate.py

@@ -16,7 +16,7 @@ import sys
 import fire
 import ruamel.yaml as yaml
 
-from llama_stack_api.version import LLAMA_STACK_API_V1 # noqa: E402
+from llama_stack_api import LLAMA_STACK_API_V1 # noqa: E402
 from llama_stack.core.stack import LlamaStack  # noqa: E402
 
 from .pyopenapi.options import Options  # noqa: E402

docs/openapi_generator/pyopenapi/generator.py

@@ -16,27 +16,27 @@ from typing import Annotated, Any, Dict, get_args, get_origin, Set, Union
 
 from fastapi import UploadFile
 
-from llama_stack_api.datatypes import Error
-from llama_stack_api.strong_typing.core import JsonType
-from llama_stack_api.strong_typing.docstring import Docstring, parse_type
-from llama_stack_api.strong_typing.inspection import (
+from llama_stack_api import (
+    Docstring,
+    Error,
+    JsonSchemaGenerator,
+    JsonType,
+    Schema,
+    SchemaOptions,
+    get_schema_identifier,
     is_generic_list,
     is_type_optional,
     is_type_union,
     is_unwrapped_body_param,
+    json_dump_string,
+    object_to_json,
+    parse_type,
+    python_type_to_name,
+    register_schema,
     unwrap_generic_list,
     unwrap_optional_type,
     unwrap_union_types,
 )
-from llama_stack_api.strong_typing.name import python_type_to_name
-from llama_stack_api.strong_typing.schema import (
-    get_schema_identifier,
-    JsonSchemaGenerator,
-    register_schema,
-    Schema,
-    SchemaOptions,
-)
-from llama_stack_api.strong_typing.serialization import json_dump_string, object_to_json
 from pydantic import BaseModel
 
 from .operations import (

docs/openapi_generator/pyopenapi/operations.py

@@ -11,19 +11,21 @@ import typing
 from dataclasses import dataclass
 from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union
 
-from llama_stack_api.version import LLAMA_STACK_API_V1, LLAMA_STACK_API_V1BETA, LLAMA_STACK_API_V1ALPHA
-
 from termcolor import colored
 
-from llama_stack_api.strong_typing.inspection import get_signature
-
 from typing import get_origin, get_args
 
 from fastapi import UploadFile
 from fastapi.params import File, Form
 from typing import Annotated
 
-from llama_stack_api.schema_utils import ExtraBodyField
+from llama_stack_api import (
+    ExtraBodyField,
+    LLAMA_STACK_API_V1,
+    LLAMA_STACK_API_V1ALPHA,
+    LLAMA_STACK_API_V1BETA,
+    get_signature,
+)
 
 
 def split_prefix(

docs/openapi_generator/pyopenapi/specification.py

@@ -9,7 +9,7 @@ import enum
 from dataclasses import dataclass
 from typing import Any, ClassVar, Dict, List, Optional, Union
 
-from llama_stack_api.strong_typing.schema import JsonType, Schema, StrictJsonType
+from llama_stack_api import JsonType, Schema, StrictJsonType
 
 URL = str
 

docs/openapi_generator/pyopenapi/utility.py

@@ -11,8 +11,7 @@ from pathlib import Path
 from typing import Any, List, Optional, TextIO, Union, get_type_hints, get_origin, get_args
 
 from pydantic import BaseModel
-from llama_stack_api.strong_typing.schema import object_to_json, StrictJsonType
-from llama_stack_api.strong_typing.inspection import is_unwrapped_body_param
+from llama_stack_api import StrictJsonType, is_unwrapped_body_param, object_to_json
 from llama_stack.core.resolver import api_protocol_map
 
 from .generator import Generator
@@ -165,12 +164,12 @@ def _validate_api_delete_method_returns_none(method) -> str | None:
         return "has no return type annotation"
 
     return_type = hints['return']
-    
+
     # Allow OpenAI endpoints to return response objects since they follow OpenAI specification
     method_name = getattr(method, '__name__', '')
     if method_name.__contains__('openai_'):
         return None
-    
+
     if return_type is not None and return_type is not type(None):
         return "does not return None where None is mandatory"