diff --git a/examples/chatbot.py b/examples/chatbot.py
index 58ac2a2..cb1c0ae 100755
--- a/examples/chatbot.py
+++ b/examples/chatbot.py
@@ -3,10 +3,10 @@
 
 import readline # Enables input line editing
 
-import lmstudio as lm
+import lmstudio as lms
 
-model = lm.llm()
-chat = lm.Chat("You are a task focused AI assistant")
+model = lms.llm()
+chat = lms.Chat("You are a task focused AI assistant")
 
 while True:
     try:
diff --git a/examples/structured-response.py b/examples/structured-response.py
index 8714ef6..c753678 100755
--- a/examples/structured-response.py
+++ b/examples/structured-response.py
@@ -3,15 +3,15 @@
 
 import json
 
-import lmstudio as lm
+import lmstudio as lms
 
-class BookSchema(lm.BaseModel):
+class BookSchema(lms.BaseModel):
     """Structured information about a published book."""
     title: str
     author: str
     year: int
 
-model = lm.llm()
+model = lms.llm()
 
 result = model.respond("Tell me about The Hobbit", response_format=BookSchema)
 book = result.parsed
diff --git a/examples/terminal-sim.py b/examples/terminal-sim.py
index 2eedd17..4709d5e 100755
--- a/examples/terminal-sim.py
+++ b/examples/terminal-sim.py
@@ -3,9 +3,9 @@
 
 import readline # Enables input line editing
 
-import lmstudio as lm
+import lmstudio as lms
 
-model = lm.llm()
+model = lms.llm()
 console_history = []
 
 while True:
diff --git a/examples/tool-use-multiple.py b/examples/tool-use-multiple.py
index 0901141..3a1c351 100644
--- a/examples/tool-use-multiple.py
+++ b/examples/tool-use-multiple.py
@@ -2,7 +2,7 @@
 """Example script demonstrating agent use of multiple tools."""
 
 import math
-import lmstudio as lm
+import lmstudio as lms
 
 def add(a: int, b: int) -> int:
     """Given two numbers a and b, returns the sum of them."""
@@ -18,7 +18,7 @@ def is_prime(n: int) -> bool:
             return False
     return True
 
-model = lm.llm("qwen2.5-7b-instruct")
+model = lms.llm("qwen2.5-7b-instruct")
 model.act(
     "Is the result of 12345 + 45668 a prime? Think step by step.",
     [add, is_prime],
diff --git a/examples/tool-use.py b/examples/tool-use.py
index adb1422..f7a59d6 100755
--- a/examples/tool-use.py
+++ b/examples/tool-use.py
@@ -1,13 +1,13 @@
 #!/usr/bin/env python
 """Example script demonstrating agent tool use."""
 
-import lmstudio as lm
+import lmstudio as lms
 
 def multiply(a: float, b: float) -> float:
     """Given two numbers a and b. Returns the product of them."""
     return a * b
 
-model = lm.llm("qwen2.5-7b-instruct")
+model = lms.llm("qwen2.5-7b-instruct")
 model.act(
     "What is the result of 12345 multiplied by 54321?",
     [multiply],
diff --git a/tests/load_models.py b/tests/load_models.py
index 532c594..24b033e 100644
--- a/tests/load_models.py
+++ b/tests/load_models.py
@@ -4,7 +4,7 @@
 from contextlib import contextmanager
 from typing import Generator
 
-import lmstudio as lm
+import lmstudio as lms
 
 from .support import (
     EXPECTED_EMBEDDING_ID,
@@ -23,27 +23,27 @@
 def print_load_result(model_identifier: str) -> Generator[None, None, None]:
     try:
         yield
-    except lm.LMStudioModelNotFoundError:
+    except lms.LMStudioModelNotFoundError:
         print(f"Load error: {model_identifier!r} is not yet downloaded")
     else:
         print(f"Loaded: {model_identifier!r}")
 
 
-async def _load_llm(client: lm.AsyncClient, model_identifier: str) -> None:
+async def _load_llm(client: lms.AsyncClient, model_identifier: str) -> None:
     with print_load_result(model_identifier):
         await client.llm.load_new_instance(
             model_identifier, config=LLM_LOAD_CONFIG, ttl=None
         )
 
 
-async def _load_embedding_model(client: lm.AsyncClient, model_identifier: str) -> None:
+async def _load_embedding_model(client: lms.AsyncClient, model_identifier: str) -> None:
     with print_load_result(model_identifier):
         await client.embedding.load_new_instance(model_identifier, ttl=None)
 
 
 async def reload_models() -> None:
     await unload_models()
-    async with lm.AsyncClient() as client:
+    async with lms.AsyncClient() as client:
         await asyncio.gather(
             _load_llm(client, EXPECTED_LLM_ID),
             _load_llm(client, EXPECTED_VLM_ID),
diff --git a/tests/test_convenience_api.py b/tests/test_convenience_api.py
index c33c07b..e943bf1 100644
--- a/tests/test_convenience_api.py
+++ b/tests/test_convenience_api.py
@@ -3,7 +3,7 @@
 # Note: before testing additional functionality (such as passing configs),
 #       this should be migrated to mock-style testing rather than end-to-end
 
-import lmstudio as lm
+import lmstudio as lms
 
 import pytest
 
@@ -17,32 +17,32 @@
 
 @pytest.mark.lmstudio
 def test_get_default_client() -> None:
-    client = lm.get_default_client()
-    assert isinstance(client, lm.Client)
+    client = lms.get_default_client()
+    assert isinstance(client, lms.Client)
 
 
 @pytest.mark.lmstudio
 def test_llm_any() -> None:
-    model = lm.llm()
+    model = lms.llm()
     assert model.identifier in (EXPECTED_LLM_ID, EXPECTED_VLM_ID, TOOL_LLM_ID)
 
 
 @pytest.mark.lmstudio
 @pytest.mark.parametrize("model_id", (EXPECTED_LLM_ID, EXPECTED_VLM_ID, TOOL_LLM_ID))
 def test_llm_specific(model_id: str) -> None:
-    model = lm.llm(model_id)
+    model = lms.llm(model_id)
     assert model.identifier == model_id
 
 
 @pytest.mark.lmstudio
 def test_embedding_any() -> None:
-    model = lm.embedding_model()
+    model = lms.embedding_model()
     assert model.identifier == EXPECTED_EMBEDDING_ID
 
 
 @pytest.mark.lmstudio
 def test_embedding_specific() -> None:
-    model = lm.embedding_model(EXPECTED_EMBEDDING_ID)
+    model = lms.embedding_model(EXPECTED_EMBEDDING_ID)
     assert model.identifier == EXPECTED_EMBEDDING_ID
 
 
@@ -51,34 +51,34 @@ def test_add_temp_file() -> None:
     # API is private until LM Studio file handle support stabilizes
     name = "example-file"
     raw_data = b"raw data"
-    file_handle = lm.sync_api._add_temp_file(raw_data, name)
+    file_handle = lms.sync_api._add_temp_file(raw_data, name)
     assert file_handle.name == name
     assert file_handle.size_bytes == len(raw_data)
 
 
 @pytest.mark.lmstudio
 def test_list_downloaded_models() -> None:
-    all_models = [m.model_key for m in lm.list_downloaded_models()]
-    embedding_models = [m.model_key for m in lm.list_downloaded_models("embedding")]
-    llms = [m.model_key for m in lm.list_downloaded_models("llm")]
+    all_models = [m.model_key for m in lms.list_downloaded_models()]
+    embedding_models = [m.model_key for m in lms.list_downloaded_models("embedding")]
+    llms = [m.model_key for m in lms.list_downloaded_models("llm")]
     assert set(all_models) == (set(embedding_models) | set(llms))
 
 
 @pytest.mark.lmstudio
 def test_list_loaded_models() -> None:
-    all_models = [m.identifier for m in lm.list_loaded_models()]
-    embedding_models = [m.identifier for m in lm.list_loaded_models("embedding")]
-    llms = [m.identifier for m in lm.list_loaded_models("llm")]
+    all_models = [m.identifier for m in lms.list_loaded_models()]
+    embedding_models = [m.identifier for m in lms.list_loaded_models("embedding")]
+    llms = [m.identifier for m in lms.list_loaded_models("llm")]
     assert set(all_models) == (set(embedding_models) | set(llms))
 
 
 @pytest.mark.lmstudio
 def test_list_loaded_embedding_models() -> None:
-    models = [m.identifier for m in lm.list_loaded_models("embedding")]
+    models = [m.identifier for m in lms.list_loaded_models("embedding")]
     assert not (set((EXPECTED_EMBEDDING_ID,)) - set(models))
 
 
 @pytest.mark.lmstudio
 def test_list_loaded_LLMs() -> None:
-    models = [m.identifier for m in lm.list_loaded_models("llm")]
+    models = [m.identifier for m in lms.list_loaded_models("llm")]
     assert not (set((EXPECTED_LLM_ID, EXPECTED_VLM_ID, TOOL_LLM_ID)) - set(models))
diff --git a/tests/unload_models.py b/tests/unload_models.py
index 7c085de..675651e 100644
--- a/tests/unload_models.py
+++ b/tests/unload_models.py
@@ -1,7 +1,7 @@
 """Unload the models required by the test suite."""
 
 import asyncio
-import lmstudio as lm
+import lmstudio as lms
 
 from .support import (
     EXPECTED_EMBEDDING_ID,
@@ -10,20 +10,20 @@
     TOOL_LLM_ID,
 )
 
-AsyncSessionModel = lm.async_api.AsyncSessionEmbedding | lm.async_api.AsyncSessionLlm
+AsyncSessionModel = lms.async_api.AsyncSessionEmbedding | lms.async_api.AsyncSessionLlm
 
 
 async def _unload_model(session: AsyncSessionModel, model_identifier: str) -> None:
     try:
         await session.unload(model_identifier)
-    except lm.LMStudioModelNotFoundError:
+    except lms.LMStudioModelNotFoundError:
         print(f"Unloaded: {model_identifier!r} (model was not loaded)")
     else:
         print(f"Unloaded: {model_identifier!r}")
 
 
 async def unload_models() -> None:
-    async with lm.AsyncClient() as client:
+    async with lms.AsyncClient() as client:
         await asyncio.gather(
             _unload_model(client.llm, EXPECTED_LLM_ID),
             _unload_model(client.llm, EXPECTED_VLM_ID),