From f2ca866069fc0c36d4e2590d0dafeec53ba53e94 Mon Sep 17 00:00:00 2001
From: Neil Mehta <neil@lmstudio.ai>
Date: Thu, 27 Feb 2025 16:18:20 -0500
Subject: [PATCH 1/2] Update code snippets in README

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 30119d4..57b62b4 100644
--- a/README.md
+++ b/README.md
@@ -24,9 +24,9 @@ Using this convenience API, requesting text completion from an already
 loaded LLM is as straightforward as:
 
 ```python
-import lmstudio as lm
+import lmstudio as lms
 
-llm = lm.llm()
+llm = lms.llm()
 llm.complete("Once upon a time,")
 ```
 
@@ -35,15 +35,15 @@ setting up a `Chat` helper to manage the chat history and include
 it in response prediction requests:
 
 ```python
-import lmstudio as lm
+import lmstudio as lms
 
 EXAMPLE_MESSAGES = (
     "My hovercraft is full of eels!",
     "I will not buy this record, it is scratched."
 )
 
-llm = lm.llm()
-chat = lm.Chat("You are a helpful shopkeeper assisting a foreign traveller")
+llm = lms.llm()
+chat = lms.Chat("You are a helpful shopkeeper assisting a foreign traveller")
 for message in EXAMPLE_MESSAGES:
     chat.add_user_message(message)
     print(f"Customer: {message}")

From 54e7e1d2ed6801fcf6f7e1e4c3e53f44fb46dfaa Mon Sep 17 00:00:00 2001
From: Neil Mehta <neil@lmstudio.ai>
Date: Thu, 27 Feb 2025 16:25:54 -0500
Subject: [PATCH 2/2] Rename llm variable to model

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 57b62b4..62534f3 100644
--- a/README.md
+++ b/README.md
@@ -26,8 +26,8 @@ loaded LLM is as straightforward as:
 ```python
 import lmstudio as lms
 
-llm = lms.llm()
-llm.complete("Once upon a time,")
+model = lms.llm()
+model.complete("Once upon a time,")
 ```
 
 Requesting a chat response instead only requires the extra step of
@@ -42,12 +42,12 @@ EXAMPLE_MESSAGES = (
     "I will not buy this record, it is scratched."
 )
 
-llm = lms.llm()
+model = lms.llm()
 chat = lms.Chat("You are a helpful shopkeeper assisting a foreign traveller")
 for message in EXAMPLE_MESSAGES:
     chat.add_user_message(message)
     print(f"Customer: {message}")
-    response = llm.respond(chat)
+    response = model.respond(chat)
     chat.add_assistant_response(response)
     print(f"Shopkeeper: {response}")
 ```