DataDog · Yun-Kim · Oct 22, 2025 · Oct 17, 2025 · Oct 17, 2025 · Oct 20, 2025
@@ -12,7 +12,7 @@
       DD_REMOTE_CONFIGURATION_REFRESH_INTERVAL: 5s
       DD_DOGSTATSD_NON_LOCAL_TRAFFIC: true
   testagent:
-    name: registry.ddbuild.io/images/mirror/dd-apm-test-agent/ddapm-test-agent:v1.34.0
+    name: registry.ddbuild.io/images/mirror/dd-apm-test-agent/ddapm-test-agent:v1.36.0
     alias: testagent
     variables:
       LOG_LEVEL: ERROR
@@ -26,6 +26,7 @@
       DD_DISABLE_ERROR_RESPONSES: true
       ENABLED_CHECKS: trace_content_length,trace_stall,meta_tracer_version_header,trace_count_header,trace_peer_service,trace_dd_service
       SNAPSHOT_IGNORED_ATTRS: span_id,trace_id,parent_id,duration,start,metrics.system.pid,metrics.system.process_id,metrics.process_id,meta.runtime-id,meta._dd.p.tid,meta.pathway.hash,metrics._dd.tracer_kr,meta._dd.parent_id,meta.kafka.cluster_id
+      VCR_PROVIDER_MAP: azure_openai=https://llmobs-test-resource.openai.azure.com/
   mongo:
     name: registry.ddbuild.io/images/mirror/mongo:6.0.5
     alias: mongo

@@ -62,6 +62,7 @@
 ANTHROPIC_PROVIDER_NAME = "anthropic"
 BEDROCK_PROVIDER_NAME = "amazon_bedrock"
 OPENAI_PROVIDER_NAME = "openai"
+AZURE_OAI_PROVIDER_NAME = "azure"
 VERTEXAI_PROVIDER_NAME = "vertexai"
 GEMINI_PROVIDER_NAME = "google_palm"
 
@@ -189,7 +190,7 @@ def _llmobs_set_tags(
             # only the llm interface for Gemini will get instrumented
             elif model_provider.startswith(GEMINI_PROVIDER_NAME) and operation == "llm":
                 llmobs_integration = "google_generativeai"
-            elif model_provider.startswith(OPENAI_PROVIDER_NAME):
+            elif any(provider in model_provider for provider in (OPENAI_PROVIDER_NAME, AZURE_OAI_PROVIDER_NAME)):
                 llmobs_integration = "openai"
             elif operation == "chat" and model_provider.startswith(ANTHROPIC_PROVIDER_NAME):
                 llmobs_integration = "anthropic"

@@ -121,7 +121,7 @@ services:
         volumes:
           - ddagent:/tmp/ddagent:rw
     testagent:
-        image: ghcr.io/datadog/dd-apm-test-agent/ddapm-test-agent:v1.34.0
+        image: ghcr.io/datadog/dd-apm-test-agent/ddapm-test-agent:v1.36.0
         ports:
             - "127.0.0.1:9126:8126"
         volumes:
@@ -131,6 +131,7 @@ services:
             - LOG_LEVEL=WARNING
             - SNAPSHOT_DIR=/snapshots
             - VCR_CASSETTES_DIRECTORY=/cassettes
+            - VCR_PROVIDER_MAP=azure_openai=https://llmobs-test-resource.openai.azure.com/
             - SNAPSHOT_CI=0
             - DD_POOL_TRACE_CHECK_FAILURES=true
             - DD_DISABLE_ERROR_RESPONSES=true

@@ -0,0 +1,5 @@
+---
+fixes:
+  - |
+    LLM Observability: Resolves an issue where the ``langchain`` integration would incorrectly mark Azure OpenAI calls as duplicate llm operations even if the ``openai`` integration was enabled.
+     The ``langchain`` integration will trace Azure OpenAI spans as workflow spans if there is an equivalent llm span from the ``openai`` integration. 
@@ -847,6 +847,11 @@ class TestTraceStructureWithLLMIntegrations(SubprocessTestCase):
         DD_API_KEY="<not-a-real-key>",
     )
 
+    azure_openai_env_config = dict(
+        OPENAI_API_VERSION="2024-12-01-preview",
+        AZURE_OPENAI_API_KEY=os.getenv("AZURE_OPENAI_API_KEY", "testing"),
+    )
+
     anthropic_env_config = dict(
         ANTHROPIC_API_KEY=os.getenv("ANTHROPIC_API_KEY", "testing"),
         DD_API_KEY="<not-a-real-key>",
@@ -891,6 +896,11 @@ def _call_openai_llm(OpenAI):
         llm = OpenAI(base_url="http://localhost:9126/vcr/openai")
         llm.invoke("Can you explain what Descartes meant by 'I think, therefore I am'?")
 
+    @staticmethod
+    def _call_azure_openai_chat(AzureChatOpenAI):
+        llm = AzureChatOpenAI(azure_endpoint="http://localhost:9126/vcr/azure_openai", deployment_name="gpt-4.1-mini")
+        llm.invoke("Can you explain what Descartes meant by 'I think, therefore I am'?")
+
     @staticmethod
     def _call_openai_embedding(OpenAIEmbeddings):
         embedding = OpenAIEmbeddings(base_url="http://localhost:9126/vcr/openai")
@@ -924,6 +934,15 @@ def test_llmobs_with_openai_enabled(self):
         self._call_openai_llm(OpenAI)
         self._assert_trace_structure_from_writer_call_args(["workflow", "llm"])
 
+    @run_in_subprocess(env_overrides=azure_openai_env_config)
+    def test_llmobs_with_openai_enabled_azure(self):
+        from langchain_openai import AzureChatOpenAI
+
+        patch(langchain=True, openai=True)
+        LLMObs.enable(ml_app="<ml-app-name>", integrations_enabled=False)
+        self._call_azure_openai_chat(AzureChatOpenAI)
+        self._assert_trace_structure_from_writer_call_args(["workflow", "llm"])
+
     @run_in_subprocess(env_overrides=openai_env_config)
     def test_llmobs_with_openai_enabled_non_ascii_value(self):
         """Regression test to ensure that non-ascii text values for workflow spans are not encoded."""
@@ -966,6 +985,16 @@ def test_llmobs_with_openai_disabled(self):
         self._call_openai_llm(OpenAI)
         self._assert_trace_structure_from_writer_call_args(["llm"])
 
+    @run_in_subprocess(env_overrides=azure_openai_env_config)
+    def test_llmobs_with_openai_disabled_azure(self):
+        from langchain_openai import AzureChatOpenAI
+
+        patch(langchain=True)
+
+        LLMObs.enable(ml_app="<ml-app-name>", integrations_enabled=False)
+        self._call_azure_openai_chat(AzureChatOpenAI)
+        self._assert_trace_structure_from_writer_call_args(["llm"])
+
     @run_in_subprocess(env_overrides=anthropic_env_config)
     def test_llmobs_with_anthropic_enabled(self):
         from langchain_anthropic import ChatAnthropic

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