fix(langchain): Record run_name as gen_ai.function_id for text completions

sentry_sdk/integrations/langchain.py

@@ -346,9 +346,9 @@ def on_llm_start(
 
             span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "text_completion")
 
-            pipeline_name = kwargs.get("name")
-            if pipeline_name:
-                span.set_data(SPANDATA.GEN_AI_PIPELINE_NAME, pipeline_name)
+            run_name = kwargs.get("name")
+            if run_name:
+                span.set_data(SPANDATA.GEN_AI_FUNCTION_ID, run_name)
 
             if model:
                 span.set_data(

tests/integrations/langchain/test_langchain.py

@@ -324,7 +324,7 @@ def test_langchain_text_completion(
     llm_span = llm_spans[0]
     assert llm_span["description"] == "text_completion gpt-3.5-turbo"
     assert llm_span["data"]["gen_ai.system"] == "openai"
-    assert llm_span["data"]["gen_ai.pipeline.name"] == "my-snazzy-pipeline"
+    assert llm_span["data"]["gen_ai.function_id"] == "my-snazzy-pipeline"
     assert llm_span["data"]["gen_ai.request.model"] == "gpt-3.5-turbo"
     assert llm_span["data"]["gen_ai.response.text"] == "The capital of France is Paris."
     assert llm_span["data"]["gen_ai.usage.total_tokens"] == 25
@@ -1983,7 +1983,7 @@ def test_langchain_message_truncation(sentry_init, capture_events):
 
     llm_span = llm_spans[0]
     assert llm_span["data"]["gen_ai.operation.name"] == "text_completion"
-    assert llm_span["data"][SPANDATA.GEN_AI_PIPELINE_NAME] == "my_pipeline"
+    assert llm_span["data"][SPANDATA.GEN_AI_FUNCTION_ID] == "my_pipeline"
 
     assert SPANDATA.GEN_AI_REQUEST_MESSAGES in llm_span["data"]
     messages_data = llm_span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]