fix(pipecat): export InputParams from the package root

The documented Pipecat quickstart fails on its second line:

    from supermemory_pipecat.service import InputParams
    ImportError: cannot import name 'InputParams' from 'supermemory_pipecat.service'

`InputParams` is a nested class on `SupermemoryPipecatService` (service.py:54),
matching Pipecat's own `Service.InputParams` convention, so it is not a
module-level name in `.service` and never has been. Nothing in the package
exposed it, so every reader who copied the config example from
docs.supermemory.ai hit an ImportError before reaching any Supermemory call.

`supermemory_cartesia` -- the sibling SDK with the identical nested-config
shape -- already solves this with an explicit alias:

    # Export MemoryConfig as a top-level class for convenience
    MemoryConfig = SupermemoryCartesiaAgent.MemoryConfig

Pipecat was the only one of the two missing it. Adds the matching alias plus
`__all__` entry, and points the two documented imports at the package root
where it now lives. The nested `SupermemoryPipecatService.InputParams` form
used by the package README keeps working unchanged.

Adds tests/test_public_exports.py, which fails with the original ImportError
if the alias is removed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NhupP1YqDMS3K1xouqwUnf

apps/docs/integrations/pipecat.mdx

@@ -28,8 +28,7 @@ You can obtain an API key from [console.supermemory.ai](https://console.supermem
 Supermemory integration is provided through the `SupermemoryPipecatService` class in Pipecat:
 
 ```python
-from supermemory_pipecat import SupermemoryPipecatService
-from supermemory_pipecat.service import InputParams
+from supermemory_pipecat import InputParams, SupermemoryPipecatService
 
 memory = SupermemoryPipecatService(
     api_key=os.getenv("SUPERMEMORY_API_KEY"),
@@ -157,8 +156,7 @@ from pipecat.transports.websocket.fastapi import (
     FastAPIWebsocketTransport,
 )
 
-from supermemory_pipecat import SupermemoryPipecatService
-from supermemory_pipecat.service import InputParams
+from supermemory_pipecat import InputParams, SupermemoryPipecatService
 
 app = FastAPI()
 

packages/pipecat-sdk-python/src/supermemory_pipecat/__init__.py

@@ -40,11 +40,17 @@ from .utils import (
     get_last_user_message,
 )
 
+# Exported as a top-level name for convenience, mirroring
+# supermemory_cartesia.MemoryConfig. The canonical definition stays nested on
+# the service, matching Pipecat's own `Service.InputParams` convention.
+InputParams = SupermemoryPipecatService.InputParams
+
 __version__ = "0.1.1"
 
 __all__ = [
     # Main service
     "SupermemoryPipecatService",
+    "InputParams",
     # Exceptions
     "SupermemoryPipecatError",
     "ConfigurationError",

packages/pipecat-sdk-python/tests/test_public_exports.py

@@ -0,0 +1,39 @@
+"""The package's documented public names must be importable from its root.
+
+apps/docs/integrations/pipecat.mdx tells users to configure the service with
+`InputParams(...)`. `InputParams` is defined as a nested class on
+`SupermemoryPipecatService` (matching Pipecat's own `Service.InputParams`
+convention), so it is only reachable from the package root through the alias in
+`__init__.py` -- the same alias `supermemory_cartesia` provides for
+`MemoryConfig`. Without it the documented quickstart fails on its import line.
+"""
+
+from __future__ import annotations
+
+import unittest
+
+from .test_empty_profile import _install_test_stubs
+
+_install_test_stubs()
+
+import supermemory_pipecat
+from supermemory_pipecat import InputParams, SupermemoryPipecatService
+
+
+class TestPublicExports(unittest.TestCase):
+    def test_input_params_is_exported_from_the_package_root(self) -> None:
+        self.assertIn("InputParams", supermemory_pipecat.__all__)
+        self.assertIs(InputParams, SupermemoryPipecatService.InputParams)
+
+    def test_documented_configuration_example_constructs(self) -> None:
+        params = InputParams(
+            mode="full",
+            search_limit=10,
+            search_threshold=0.1,
+            system_prompt="Based on previous conversations:\n\n",
+        )
+
+        self.assertEqual(params.mode, "full")
+        self.assertEqual(params.search_limit, 10)
+        self.assertEqual(params.search_threshold, 0.1)
+        self.assertEqual(params.system_prompt, "Based on previous conversations:\n\n")