fix(openai): add streaming support for responses.create() api

packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py

@@ -232,7 +232,7 @@ def _set_response_attributes(span, response):
     prompt_tokens_details = dict(usage.get("prompt_tokens_details", {}))
     _set_span_attribute(
         span,
-        GenAIAttributes.GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS,
+        SpanAttributes.LLM_USAGE_CACHE_READ_INPUT_TOKENS,
         prompt_tokens_details.get("cached_tokens", 0),
     )
     return

packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py

@@ -1,9 +1,11 @@
 import json
 import pydantic
 import re
+import threading
 import time
 
 from openai import AsyncStream, Stream
+from wrapt import ObjectProxy
 
 # Conditional imports for backward compatibility
 try:
@@ -192,13 +194,11 @@ def set_data_attributes(traced_response: TracedData, span: Span):
         if usage.input_tokens_details:
             _set_span_attribute(
                 span,
-                GenAIAttributes.GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS,
+                SpanAttributes.LLM_USAGE_CACHE_READ_INPUT_TOKENS,
                 usage.input_tokens_details.cached_tokens,
             )
 
-        # Usage - count of reasoning tokens
         reasoning_tokens = None
-        # Support both dict-style and object-style `usage`
         tokens_details = (
             usage.get("output_tokens_details") if isinstance(usage, dict)
             else getattr(usage, "output_tokens_details", None)
@@ -216,20 +216,16 @@ def set_data_attributes(traced_response: TracedData, span: Span):
             reasoning_tokens or 0,
         )
 
-    # Reasoning attributes
-    # Request - reasoning summary
     _set_span_attribute(
         span,
         f"{SpanAttributes.LLM_REQUEST_REASONING_SUMMARY}",
         traced_response.request_reasoning_summary or (),
     )
-    # Request - reasoning effort
     _set_span_attribute(
         span,
         f"{SpanAttributes.LLM_REQUEST_REASONING_EFFORT}",
         traced_response.request_reasoning_effort or (),
     )
-    # Response - reasoning effort
     _set_span_attribute(
         span,
         f"{SpanAttributes.LLM_RESPONSE_REASONING_EFFORT}",
@@ -433,7 +429,19 @@ def responses_get_or_create_wrapper(tracer: Tracer, wrapped, instance, args, kwa
     try:
         response = wrapped(*args, **kwargs)
         if isinstance(response, Stream):
-            return response
+            span = tracer.start_span(
+                SPAN_NAME,
+                kind=SpanKind.CLIENT,
+                start_time=start_time,
+            )
+
+            return ResponseStream(
+                span=span,
+                response=response,
+                start_time=start_time,
+                request_kwargs=kwargs,
+                tracer=tracer,
+            )
     except Exception as e:
         response_id = kwargs.get("response_id")
         existing_data = {}
@@ -563,7 +571,19 @@ async def async_responses_get_or_create_wrapper(
     try:
         response = await wrapped(*args, **kwargs)
         if isinstance(response, (Stream, AsyncStream)):
-            return response
+            span = tracer.start_span(
+                SPAN_NAME,
+                kind=SpanKind.CLIENT,
+                start_time=start_time,
+            )
+
+            return ResponseStream(
+                span=span,
+                response=response,
+                start_time=start_time,
+                request_kwargs=kwargs,
+                tracer=tracer,
+            )
     except Exception as e:
         response_id = kwargs.get("response_id")
         existing_data = {}
@@ -728,4 +748,214 @@ async def async_responses_cancel_wrapper(
     return response
 
 
-# TODO: build streaming responses
+class ResponseStream(ObjectProxy):
+    """Proxy class for streaming responses to capture telemetry data"""
+
+    _span = None
+    _start_time = None
+    _request_kwargs = None
+    _tracer = None
+    _traced_data = None
+
+    def __init__(
+        self,
+        span,
+        response,
+        start_time=None,
+        request_kwargs=None,
+        tracer=None,
+        traced_data=None,
+    ):
+        super().__init__(response)
+        self._span = span
+        self._start_time = start_time
+        self._request_kwargs = request_kwargs or {}
+        self._tracer = tracer
+        self._traced_data = traced_data or TracedData(
+            start_time=start_time,
+            response_id="",
+            input=process_input(self._request_kwargs.get("input", [])),
+            instructions=self._request_kwargs.get("instructions"),
+            tools=get_tools_from_kwargs(self._request_kwargs),
+            output_blocks={},
+            usage=None,
+            output_text="",
+            request_model=self._request_kwargs.get("model", ""),
+            response_model="",
+            request_reasoning_summary=self._request_kwargs.get("reasoning", {}).get(
+                "summary"
+            ),
+            request_reasoning_effort=self._request_kwargs.get("reasoning", {}).get("effort"),
+            response_reasoning_effort=None,
+        )
+
+        self._complete_response_data = None
+        self._output_text = ""
+
+        self._cleanup_completed = False
+        self._cleanup_lock = threading.Lock()
+
+    def __del__(self):
+        """Cleanup when object is garbage collected"""
+        if hasattr(self, "_cleanup_completed") and not self._cleanup_completed:
+            self._ensure_cleanup()
+
+    def __enter__(self):
+        """Context manager entry"""
+        if hasattr(self.__wrapped__, "__enter__"):
+            self.__wrapped__.__enter__()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """Context manager exit"""
+        suppress = False
+        try:
+            if exc_type is not None:
+                self._handle_exception(exc_val)
+            else:
+                self._process_complete_response()
+        finally:
+            if hasattr(self.__wrapped__, "__exit__"):
+                suppress = bool(self.__wrapped__.__exit__(exc_type, exc_val, exc_tb))
+        return suppress
+
+    async def __aenter__(self):
+        """Async context manager entry"""
+        if hasattr(self.__wrapped__, "__aenter__"):
+            await self.__wrapped__.__aenter__()
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        """Async context manager exit"""
+        suppress = False
+        try:
+            if exc_type is not None:
+                self._handle_exception(exc_val)
+            else:
+                self._process_complete_response()
+        finally:
+            if hasattr(self.__wrapped__, "__aexit__"):
+                suppress = bool(await self.__wrapped__.__aexit__(exc_type, exc_val, exc_tb))
+        return suppress
+
+    def __iter__(self):
+        """Synchronous iterator"""
+        return self
+
+    def __next__(self):
+        """Synchronous iteration"""
+        try:
+            chunk = self.__wrapped__.__next__()
+        except StopIteration:
+            self._process_complete_response()
+            raise
+        except Exception as e:
+            self._handle_exception(e)
+            raise
+        else:
+            self._process_chunk(chunk)
+            return chunk
+
+    def __aiter__(self):
+        """Async iterator"""
+        return self
+
+    async def __anext__(self):
+        """Async iteration"""
+        try:
+            chunk = await self.__wrapped__.__anext__()
+        except StopAsyncIteration:
+            self._process_complete_response()
+            raise
+        except Exception as e:
+            self._handle_exception(e)
+            raise
+        else:
+            self._process_chunk(chunk)
+            return chunk
+
+    def _process_chunk(self, chunk):
+        """Process a streaming chunk"""
+        if hasattr(chunk, "type"):
+            if chunk.type == "response.output_text.delta":
+                if hasattr(chunk, "delta") and chunk.delta:
+                    self._output_text += chunk.delta
+            elif chunk.type == "response.completed" and hasattr(chunk, "response"):
+                self._complete_response_data = chunk.response
+
+        if hasattr(chunk, "delta"):
+            if hasattr(chunk.delta, "text") and chunk.delta.text:
+                self._output_text += chunk.delta.text
+
+        if hasattr(chunk, "response") and chunk.response:
+            self._complete_response_data = chunk.response
+
+    @dont_throw
+    def _process_complete_response(self):
+        """Process the complete response and emit span"""
+        with self._cleanup_lock:
+            if self._cleanup_completed:
+                return
+
+            try:
+                if self._complete_response_data:
+                    parsed_response = parse_response(self._complete_response_data)
+
+                    self._traced_data.response_id = parsed_response.id
+                    self._traced_data.response_model = parsed_response.model
+                    self._traced_data.output_text = self._output_text
+
+                    if parsed_response.usage:
+                        self._traced_data.usage = parsed_response.usage
+
+                    if parsed_response.output:
+                        self._traced_data.output_blocks = {
+                            block.id: block for block in parsed_response.output
+                        }
+
+                    responses[parsed_response.id] = self._traced_data
+
+                set_data_attributes(self._traced_data, self._span)
+                self._span.set_status(StatusCode.OK)
+                self._span.end()
+                self._cleanup_completed = True
+
+            except Exception as e:
+                if self._span and self._span.is_recording():
+                    self._span.set_attribute(ERROR_TYPE, e.__class__.__name__)
+                    self._span.set_status(StatusCode.ERROR, str(e))
+                    self._span.end()
+                self._cleanup_completed = True
+
+    @dont_throw
+    def _handle_exception(self, exception):
+        """Handle exceptions during streaming"""
+        with self._cleanup_lock:
+            if self._cleanup_completed:
+                return
+
+            if self._span and self._span.is_recording():
+                self._span.set_attribute(ERROR_TYPE, exception.__class__.__name__)
+                self._span.record_exception(exception)
+                self._span.set_status(StatusCode.ERROR, str(exception))
+                self._span.end()
+
+            self._cleanup_completed = True
+
+    @dont_throw
+    def _ensure_cleanup(self):
+        """Ensure cleanup happens even if stream is not fully consumed"""
+        with self._cleanup_lock:
+            if self._cleanup_completed:
+                return
+
+            try:
+                if self._span and self._span.is_recording():
+                    set_data_attributes(self._traced_data, self._span)
+                    self._span.set_status(StatusCode.OK)
+                    self._span.end()
+
+                self._cleanup_completed = True
+
+            except Exception:
+                self._cleanup_completed = True

packages/opentelemetry-instrumentation-openai/tests/conftest.py

@@ -171,6 +171,16 @@ def instrument_with_content(
     instrumentor.uninstrument()
 
 
+@pytest.fixture(scope="function")
+def instrument_legacy_with_content(instrument_legacy):
+    """Fixture that enables content tracing while keeping legacy attributes mode"""
+    os.environ.update({TRACELOOP_TRACE_CONTENT: "True"})
+
+    yield instrument_legacy
+
+    os.environ.pop(TRACELOOP_TRACE_CONTENT, None)
+
+
 @pytest.fixture(scope="function")
 def instrument_with_no_content(
     instrument_legacy, reader, tracer_provider, event_logger_provider, meter_provider