diff --git a/src/llm/api.py b/src/llm/api.py
index 4639cad4..2a8f0529 100644
--- a/src/llm/api.py
+++ b/src/llm/api.py
@@ -31,6 +31,7 @@ from .runtime import (
     effective_temperature,
     plan_attempt,
     resolve_runtime_model_config,
+    update_current_langfuse_observation,
 )
 from .tool_loop import execute_tool_loop
 from .types import (
@@ -193,13 +194,19 @@ async def honcho_llm_call(
     current_attempt.set(1)
 
     def _get_attempt_plan() -> AttemptPlan:
-        return plan_attempt(
+        plan = plan_attempt(
             runtime_model_config=runtime_model_config,
             attempt=current_attempt.get(),
             retry_attempts=retry_attempts,
             call_thinking_budget_tokens=thinking_budget_tokens,
             call_reasoning_effort=reasoning_effort,
         )
+        update_current_langfuse_observation(
+            plan.provider,
+            plan.model,
+            name=track_name,
+        )
+        return plan
 
     async def _call_with_provider_selection() -> (
         HonchoLLMCallResponse[Any] | AsyncIterator[HonchoLLMCallStreamChunk]
diff --git a/src/llm/runtime.py b/src/llm/runtime.py
index 27bc56d9..2c29f397 100644
--- a/src/llm/runtime.py
+++ b/src/llm/runtime.py
@@ -21,6 +21,7 @@ from src.config import (
     ModelConfig,
     ModelTransport,
     resolve_model_config,
+    settings,
 )
 
 from .registry import backend_for_provider, client_for_model_config
@@ -32,6 +33,33 @@ logger = logging.getLogger(__name__)
 current_attempt: ContextVar[int] = ContextVar("current_attempt", default=0)
 
 
+def update_current_langfuse_observation(
+    provider: ModelTransport,
+    model: str,
+    *,
+    name: str | None = None,
+) -> None:
+    """Best-effort annotation of the current Langfuse span with LLM routing."""
+    if not settings.LANGFUSE_PUBLIC_KEY:
+        return
+
+    try:
+        from langfuse import get_client
+
+        update_kwargs: dict[str, Any] = {
+            "metadata": {
+                "namespace": settings.NAMESPACE,
+                "provider": provider,
+                "model": model,
+            }
+        }
+        if name is not None:
+            update_kwargs["name"] = name
+        get_client().update_current_span(**update_kwargs)
+    except Exception as exc:  # pragma: no cover - best-effort telemetry
+        logger.debug("Failed to update Langfuse span metadata: %s", exc)
+
+
 @dataclass(frozen=True)
 class AttemptPlan:
     """Per-attempt plan produced by `plan_attempt`.
@@ -204,4 +232,5 @@ __all__ = [
     "resolve_backend_for_plan",
     "resolve_runtime_model_config",
     "select_model_config_for_attempt",
+    "update_current_langfuse_observation",
 ]
diff --git a/tests/utils/test_clients.py b/tests/utils/test_clients.py
index 213a370c..f5506790 100644
--- a/tests/utils/test_clients.py
+++ b/tests/utils/test_clients.py
@@ -23,7 +23,12 @@ from openai.types.chat.chat_completion_message import ChatCompletionMessage
 from openai.types.completion_usage import CompletionUsage
 from pydantic import BaseModel, Field
 
-from src.config import ConfiguredModelSettings, ModelConfig, ResolvedFallbackConfig
+from src.config import (
+    ConfiguredModelSettings,
+    ModelConfig,
+    ResolvedFallbackConfig,
+    settings,
+)
 from src.exceptions import LLMError, ValidationException
 from src.llm import (
     CLIENTS,
@@ -905,6 +910,44 @@ class TestMainLLMCallFunction:
 
             assert response.content == "No retry response"
 
+    async def test_track_name_updates_langfuse_span_name(self):
+        """track_name should rename the top-level Langfuse span."""
+
+        mock_llm_client = AsyncMock(spec=AsyncAnthropic)
+        mock_response = Mock()
+        mock_response.content = [TextBlock(text="Named response", type="text")]
+        mock_response.usage = Usage(input_tokens=5, output_tokens=5)
+        mock_response.stop_reason = "stop"
+        mock_llm_client.messages.create = AsyncMock(return_value=mock_response)
+
+        mock_langfuse_client = Mock()
+
+        with (
+            patch.dict(CLIENTS, {"anthropic": mock_llm_client}),
+            patch.object(settings, "LANGFUSE_PUBLIC_KEY", "test-public-key"),
+            patch("langfuse.get_client", return_value=mock_langfuse_client),
+        ):
+            response = await honcho_llm_call(
+                model_config=ConfiguredModelSettings(
+                    model="claude-4-sonnet",
+                    transport="anthropic",
+                ),
+                prompt="Hello",
+                max_tokens=100,
+                enable_retry=False,
+                track_name="Dialectic Agent",
+            )
+
+            assert response.content == "Named response"
+            mock_langfuse_client.update_current_span.assert_called_once_with(
+                name="Dialectic Agent",
+                metadata={
+                    "namespace": settings.NAMESPACE,
+                    "provider": "anthropic",
+                    "model": "claude-4-sonnet",
+                },
+            )
+
 
 class TestEdgeCases:
     """Tests for edge cases and boundary conditions"""