fix(langchain): Normalize gen_ai.system for OpenAI and Anthropic consistency

Restore normalization of LangChain _type values to match the gen_ai.system
values used by dedicated OpenAI and Anthropic integrations. This fixes a
regression where 'openai-chat' and 'anthropic-chat' were returned as-is
instead of being normalized to 'openai' and 'anthropic'.

The fix ensures consistent gen_ai.system values across all integration
paths, preventing breakage of existing Sentry dashboards, alerts, and
queries that filter on these normalized provider names.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

Author: cursoragent

sentry_sdk/integrations/langchain.py

@@ -114,6 +114,11 @@ def _get_ai_system(all_params: "Dict[str, Any]") -> "Optional[str]":
     if not ai_type or not isinstance(ai_type, str):
         return None
 
+    if "anthropic" in ai_type:
+        return "anthropic"
+    elif "openai" in ai_type:
+        return "openai"
+
     return ai_type
 
 

tests/integrations/langchain/test_langchain.py

@@ -2005,13 +2005,13 @@ def test_transform_google_file_data(self):
     [
         # Real LangChain _type values (from _llm_type properties)
         # OpenAI
-        ("openai-chat", "openai-chat"),
+        ("openai-chat", "openai"),
         ("openai", "openai"),
         # Azure OpenAI
-        ("azure-openai-chat", "azure-openai-chat"),
+        ("azure-openai-chat", "openai"),
         ("azure", "azure"),
         # Anthropic
-        ("anthropic-chat", "anthropic-chat"),
+        ("anthropic-chat", "anthropic"),
         # Google
         ("vertexai", "vertexai"),
         ("chat-google-generative-ai", "chat-google-generative-ai"),