Fixed ruff errors and renamed method

Author: wrisa

instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/callback_handler.py

@@ -46,7 +46,7 @@ def __init__(
     def on_chat_model_start(
         self,
         serialized: dict[str, Any],
-        messages: List[List[BaseMessage]],  # type: ignore
+        messages: list[list[BaseMessage]],  # type: ignore
         *,
         run_id: UUID,
         tags: list[str] | None,

instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/span_manager.py

@@ -70,7 +70,7 @@ def _create_span(
 
         return span
 
-    def create_llm_span(
+    def create_chat_span(
         self,
         run_id: UUID,
         parent_run_id: Optional[UUID],

instrumentation-genai/opentelemetry-instrumentation-langchain/tests/conftest.py

@@ -14,6 +14,7 @@
     InMemorySpanExporter,
 )
 
+
 @pytest.fixture(scope="function", name="llm_model")
 def fixture_llm_model():
     llm = ChatOpenAI(
@@ -28,6 +29,7 @@ def fixture_llm_model():
     )
     yield llm
 
+
 @pytest.fixture(scope="function", name="span_exporter")
 def fixture_span_exporter():
     exporter = InMemorySpanExporter()

instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_llm_call.py

@@ -2,18 +2,14 @@
 
 import pytest
 from langchain_core.messages import HumanMessage, SystemMessage
-from langchain_openai import ChatOpenAI
 
 from opentelemetry.sdk.trace import ReadableSpan
 from opentelemetry.semconv._incubating.attributes import gen_ai_attributes
 
 
 # span_exporter, start_instrumentation, llm_model are coming from fixtures defined in conftest.py
 @pytest.mark.vcr()
-def test_langchain_call(
-    span_exporter, start_instrumentation, llm_model
-):
-
+def test_langchain_call(span_exporter, start_instrumentation, llm_model):
     messages = [
         SystemMessage(content="You are a helpful assistant!"),
         HumanMessage(content="What is the capital of France?"),