Automatically instruments demo apps, adds to install target

This only works if openai instrumantation is installed - otherwise it
will fail silently. This also adds it to the "learn" install target

examples/email-assistant/server.py

@@ -23,6 +23,16 @@
 router = APIRouter()
 
 
+try:
+    from opentelemetry.instrumentation.openai import OpenAIInstrumentor
+
+    OpenAIInstrumentor().instrument()
+    opentelemetry_available = True
+except ImportError:
+    opentelemetry_available = False
+    pass
+
+
 # we want to render this after every response
 class EmailAssistantState(pydantic.BaseModel):
     app_id: str
@@ -73,7 +83,10 @@ def _get_application(project_id: str, app_id: str) -> Application:
     builder = (
         ApplicationBuilder()
         .with_graph(graph)
-        .with_tracker(tracker := LocalTrackingClient(project=project_id))
+        .with_tracker(
+            tracker := LocalTrackingClient(project=project_id),
+            use_otel_tracing=opentelemetry_available,
+        )
         .with_identifiers(app_id=app_id)
         .initialize_from(
             tracker,

examples/multi-modal-chatbot/server.py

@@ -27,6 +27,15 @@
 
 graph = chat_application.graph
 
+try:
+    from opentelemetry.instrumentation.openai import OpenAIInstrumentor
+
+    OpenAIInstrumentor().instrument()
+    opentelemetry_available = True
+except ImportError:
+    opentelemetry_available = False
+    pass
+
 
 class ChatItem(pydantic.BaseModel):
     """Pydantic model for a chat item. This is used to render the chat history."""
@@ -50,7 +59,7 @@ def _get_application(project_id: str, app_id: str) -> Application:
             default_state={"chat_history": []},
             default_entrypoint="prompt",
         )
-        .with_tracker(tracker)
+        .with_tracker(tracker, use_otel_tracing=opentelemetry_available)
         .with_identifiers(app_id=app_id)
         .build()
     )

examples/streaming-fastapi/server.py

@@ -30,6 +30,16 @@
 graph = chat_application.graph
 
 
+try:
+    from opentelemetry.instrumentation.openai import OpenAIInstrumentor
+
+    OpenAIInstrumentor().instrument()
+    opentelemetry_available = True
+except ImportError:
+    opentelemetry_available = False
+    pass
+
+
 class ChatItem(pydantic.BaseModel):
     """Pydantic model for a chat item. This is used to render the chat history."""
 
@@ -52,7 +62,7 @@ def _get_application(project_id: str, app_id: str) -> Application:
             default_state={"chat_history": []},
             default_entrypoint="prompt",
         )
-        .with_tracker(tracker)
+        .with_tracker(tracker, use_otel_tracing=opentelemetry_available)
         .with_identifiers(app_id=app_id)
         .build()
     )

pyproject.toml

@@ -154,12 +154,17 @@ tracking = [
 ]
 
 learn = [
-  "burr[tracking,streamlit,graphviz,hamilton, cli]"
+  "burr[tracking,streamlit,graphviz,hamilton,cli,inappexamples]"
 ]
 
 start = [
   "burr[learn]"
 ]
+inappexamples  = [
+  "opentelemetry-api",
+  "opentelemetry-sdk",
+  'opentelemetry-instrumentation-openai',
+]
 
 # All the bloatware from various LLM demos
 # In the future most people will be relying on simple APIs, not this
@@ -169,9 +174,7 @@ examples = [
   "langchain",
   "langchain-community",
   "langchain-openai",
-  "opentelemetry-api",
-  "opentelemetry-sdk",
-  'opentelemetry-instrumentation-openai',
+  "burr[inappexamples]"
 ]
 
 # just install everything for developers