fix(openai-agents): propagate gen_ai.agent.name through an agent flow + set workflow name to fast mcp

packages/opentelemetry-instrumentation-mcp/opentelemetry/instrumentation/mcp/fastmcp_instrumentation.py

@@ -17,6 +17,7 @@ class FastMCPInstrumentor:
 
     def __init__(self):
         self._tracer = None
+        self._server_name = None
 
     def instrument(self, tracer: Tracer):
         """Apply FastMCP-specific instrumentation."""
@@ -30,12 +31,35 @@ def instrument(self, tracer: Tracer):
             "fastmcp.tools.tool_manager",
         )
 
+        # Instrument FastMCP __init__ to capture server name
+        register_post_import_hook(
+            lambda _: wrap_function_wrapper(
+                "fastmcp", "FastMCP.__init__", self._fastmcp_init_wrapper()
+            ),
+            "fastmcp",
+        )
+
     def uninstrument(self):
         """Remove FastMCP-specific instrumentation."""
         # Note: wrapt doesn't provide a clean way to unwrap post-import hooks
         # This is a limitation we'll need to document
         pass
 
+    def _fastmcp_init_wrapper(self):
+        """Create wrapper for FastMCP initialization to capture server name."""
+        @dont_throw
+        def traced_method(wrapped, instance, args, kwargs):
+            # Call the original __init__ first
+            result = wrapped(*args, **kwargs)
+
+            if args and len(args) > 0:
+                self._server_name = f"{args[0]}.mcp"
+            elif 'name' in kwargs:
+                self._server_name = f"{kwargs['name']}.mcp"
+
+            return result
+        return traced_method
+
     def _fastmcp_tool_wrapper(self):
         """Create wrapper for FastMCP tool execution."""
         @dont_throw
@@ -62,12 +86,16 @@ async def traced_method(wrapped, instance, args, kwargs):
             with self._tracer.start_as_current_span("mcp.server") as mcp_span:
                 mcp_span.set_attribute(SpanAttributes.TRACELOOP_SPAN_KIND, "server")
                 mcp_span.set_attribute(SpanAttributes.TRACELOOP_ENTITY_NAME, "mcp.server")
+                if self._server_name:
+                    mcp_span.set_attribute(SpanAttributes.TRACELOOP_WORKFLOW_NAME, self._server_name)
 
                 # Create nested tool span
                 span_name = f"{entity_name}.tool"
                 with self._tracer.start_as_current_span(span_name) as tool_span:
                     tool_span.set_attribute(SpanAttributes.TRACELOOP_SPAN_KIND, TraceloopSpanKindValues.TOOL.value)
                     tool_span.set_attribute(SpanAttributes.TRACELOOP_ENTITY_NAME, entity_name)
+                    if self._server_name:
+                        tool_span.set_attribute(SpanAttributes.TRACELOOP_WORKFLOW_NAME, self._server_name)
 
                     if self._should_send_prompts():
                         try:

packages/opentelemetry-instrumentation-mcp/tests/test_fastmcp.py

@@ -121,3 +121,29 @@ def get_greeting() -> str:
     assert len(request_writer_spans) == 0, (
         f"RequestStreamWriter spans should be removed, found {len(request_writer_spans)}"
     )
+
+    # Verify TRACELOOP_WORKFLOW_NAME is set correctly on server spans
+    mcp_server_spans = [span for span in spans if span.name == 'mcp.server']
+    assert len(mcp_server_spans) >= 1, (
+        f"Expected at least 1 mcp.server span, found {len(mcp_server_spans)}"
+    )
+
+    for server_span in mcp_server_spans:
+        workflow_name = server_span.attributes.get('traceloop.workflow.name')
+        assert workflow_name == 'test-server.mcp', (
+            f"Expected workflow name 'test-server.mcp', got '{workflow_name}'"
+        )
+
+    # Verify TRACELOOP_WORKFLOW_NAME is also set on tool spans
+    server_tool_spans = [span for span in spans if span.name == 'add_numbers.tool'
+                         and span.attributes.get('traceloop.span.kind') == 'tool'
+                         and 'traceloop.workflow.name' in span.attributes]
+    assert len(server_tool_spans) >= 1, (
+        f"Expected at least 1 server-side tool span with workflow name, found {len(server_tool_spans)}"
+    )
+
+    for tool_span in server_tool_spans:
+        workflow_name = tool_span.attributes.get('traceloop.workflow.name')
+        assert workflow_name == 'test-server.mcp', (
+            f"Expected workflow name 'test-server.mcp' on tool span, got '{workflow_name}'"
+        )

packages/opentelemetry-instrumentation-mcp/tests/test_fastmcp_attributes.py

@@ -62,6 +62,7 @@ def get_test_config() -> dict:
     # Test 2: Verify traceloop attributes
     assert tool_span.attributes.get("traceloop.span.kind") == "tool"
     assert tool_span.attributes.get("traceloop.entity.name") == "process_data"
+    assert tool_span.attributes.get("traceloop.workflow.name") == "attribute-test-server.mcp"
 
     # Test 3: Verify span status
     assert tool_span.status.status_code.name == "OK"
@@ -166,4 +167,7 @@ async def failing_tool(should_fail: bool = True) -> str:
         assert error_span.attributes.get("traceloop.span.kind") == "tool"
         assert error_span.attributes.get("traceloop.entity.name") == "failing_tool"
 
+        # Verify workflow name is set correctly even on error spans
+        assert error_span.attributes.get("traceloop.workflow.name") == "error-test-server.mcp"
+
     print("✅ Error handling validated")

packages/opentelemetry-instrumentation-openai-agents/opentelemetry/instrumentation/openai_agents/_hooks.py

@@ -7,10 +7,12 @@
 from opentelemetry.trace import Tracer, Status, StatusCode, SpanKind, get_current_span, set_span_in_context
 from opentelemetry import context
 from opentelemetry.semconv_ai import SpanAttributes, TraceloopSpanKindValues
-from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import GEN_AI_COMPLETION
+from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import GEN_AI_COMPLETION, GEN_AI_AGENT_NAME
 from agents.tracing.processors import TracingProcessor
 from .utils import dont_throw
 
+from traceloop.sdk.tracing import set_agent_name
+
 
 class OpenTelemetryTracingProcessor(TracingProcessor):
     """
@@ -73,6 +75,8 @@ def on_span_start(self, span):
 
         if isinstance(span_data, AgentSpanData):
             agent_name = getattr(span_data, 'name', None) or "unknown_agent"
+            # Set agent name in OpenTelemetry context for propagation to child spans
+            set_agent_name(agent_name)
 
             handoff_parent = None
             trace_id = getattr(span, 'trace_id', None)
@@ -83,7 +87,7 @@ def on_span_start(self, span):
 
             attributes = {
                 SpanAttributes.TRACELOOP_SPAN_KIND: TraceloopSpanKindValues.AGENT.value,
-                "gen_ai.agent.name": agent_name,
+                GEN_AI_AGENT_NAME: agent_name,
                 "gen_ai.system": "openai_agents"
             }
 
@@ -132,6 +136,7 @@ def on_span_start(self, span):
 
             if from_agent and from_agent != 'unknown':
                 handoff_attributes["gen_ai.handoff.from_agent"] = from_agent
+                handoff_attributes[GEN_AI_AGENT_NAME] = from_agent
             if to_agent and to_agent != 'unknown':
                 handoff_attributes["gen_ai.handoff.to_agent"] = to_agent
 

packages/opentelemetry-instrumentation-openai-agents/tests/cassettes/test_openai_agents/test_agent_name_propagation_to_agent_spans.yaml

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

@@ -1,7 +1,10 @@
 """Unit tests configuration module."""
 
 import os
+import sys
+import types
 import pytest
+from unittest.mock import MagicMock
 from opentelemetry.sdk.trace import TracerProvider
 from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
     InMemorySpanExporter,
@@ -22,6 +25,31 @@
 
 pytest_plugins = []
 
+# Mock traceloop modules before any imports using proper ModuleType
+SET_AGENT_NAME_MOCK = MagicMock()
+
+# Create proper module mocks using types.ModuleType for better type safety
+mock_traceloop = types.ModuleType('traceloop')
+mock_sdk = types.ModuleType('traceloop.sdk')
+mock_tracing = types.ModuleType('traceloop.sdk.tracing')
+
+# Set up the module hierarchy and add our mock function
+mock_tracing.set_agent_name = SET_AGENT_NAME_MOCK
+mock_sdk.tracing = mock_tracing
+mock_traceloop.sdk = mock_sdk
+
+# Install mocks in sys.modules before any imports occur
+sys.modules['traceloop'] = mock_traceloop
+sys.modules['traceloop.sdk'] = mock_sdk
+sys.modules['traceloop.sdk.tracing'] = mock_tracing
+
+
+@pytest.fixture
+def mock_set_agent_name():
+    """Provide access to the mocked set_agent_name function for test assertions."""
+    SET_AGENT_NAME_MOCK.reset_mock()  # Reset mock between tests
+    return SET_AGENT_NAME_MOCK
+
 
 @pytest.fixture(scope="session")
 def exporter():

packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py

@@ -430,3 +430,27 @@ async def compose_music(style: str, key: str) -> str:
         f"Found unexpected root spans that should be child spans: {unexpected_root_spans}. "
         f"All spans should be children of 'Agent Workflow' root span."
     )
+
+
+@pytest.mark.vcr
+def test_agent_name_propagation_to_agent_spans(exporter, test_agent):
+    """Test that agent name is set into agent spans through the context propagation mechanism."""
+    from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import GEN_AI_AGENT_NAME
+
+    query = "What is AI?"
+    Runner.run_sync(
+        test_agent,
+        query,
+    )
+    spans = exporter.get_finished_spans()
+
+    # Find the agent span
+    agent_spans = [s for s in spans if s.name == "testAgent.agent"]
+    assert len(agent_spans) == 1, f"Expected 1 agent span, got {len(agent_spans)}"
+    agent_span = agent_spans[0]
+
+    # Verify the agent span has the agent name attribute set via context propagation
+    assert GEN_AI_AGENT_NAME in agent_span.attributes, f"Agent span should have {GEN_AI_AGENT_NAME} attribute"
+    assert agent_span.attributes[GEN_AI_AGENT_NAME] == "testAgent", (
+        f"Expected agent name 'testAgent', got '{agent_span.attributes[GEN_AI_AGENT_NAME]}'"
+    )