fix!: Swap track_metrics_of parameter order to match spec

packages/sdk/server-ai/src/ldai/judge/__init__.py

@@ -75,8 +75,8 @@ async def evaluate(
             assert self._evaluation_response_structure is not None
 
             response = await tracker.track_metrics_of_async(
-                lambda: self._model_runner.invoke_structured_model(messages, self._evaluation_response_structure),
                 lambda result: result.metrics,
+                lambda: self._model_runner.invoke_structured_model(messages, self._evaluation_response_structure),
             )
 
             parsed = self._parse_evaluation_response(response.data)

packages/sdk/server-ai/src/ldai/managed_agent.py

@@ -29,8 +29,8 @@ async def run(self, input: str) -> AgentResult:
         """
         tracker = self._ai_config.create_tracker()
         return await tracker.track_metrics_of_async(
-            lambda: self._agent_runner.run(input),
             lambda result: result.metrics,
+            lambda: self._agent_runner.run(input),
         )
 
     def get_agent_runner(self) -> AgentRunner:

packages/sdk/server-ai/src/ldai/managed_model.py

@@ -49,8 +49,8 @@ async def invoke(self, prompt: str) -> ModelResponse:
         all_messages = config_messages + self._messages
 
         response = await tracker.track_metrics_of_async(
-            lambda: self._model_runner.invoke_model(all_messages),
             lambda result: result.metrics,
+            lambda: self._model_runner.invoke_model(all_messages),
         )
 
         if (

packages/sdk/server-ai/src/ldai/tracker.py

@@ -262,8 +262,8 @@ def _track_from_metrics_extractor(
 
     def track_metrics_of(
         self,
-        func: Callable[[], Any],
         metrics_extractor: Callable[[Any], Any],
+        func: Callable[[], Any],
     ) -> Any:
         """
         Track metrics for a synchronous AI operation.
@@ -277,8 +277,8 @@ def track_metrics_of(
 
         For async operations, use :meth:`track_metrics_of_async`.
 
-        :param func: Synchronous callable that runs the operation
         :param metrics_extractor: Function that extracts LDAIMetrics from the operation result
+        :param func: Synchronous callable that runs the operation
         :return: The result of the operation
         """
         start_ns = time.perf_counter_ns()
@@ -294,14 +294,14 @@ def track_metrics_of(
         self.track_duration(duration)
         return self._track_from_metrics_extractor(result, metrics_extractor)
 
-    async def track_metrics_of_async(self, func, metrics_extractor):
+    async def track_metrics_of_async(self, metrics_extractor, func):
         """
         Track metrics for an async AI operation (``func`` is awaited).
 
         Same event semantics as :meth:`track_metrics_of`.
 
-        :param func: Async callable or zero-arg callable that returns an awaitable when called
         :param metrics_extractor: Function that extracts LDAIMetrics from the operation result
+        :param func: Async callable or zero-arg callable that returns an awaitable when called
         :return: The result of the operation
         """
         start_ns = time.perf_counter_ns()

packages/sdk/server-ai/tests/test_tracker.py

@@ -531,7 +531,7 @@ def fn():
     def extract(r):
         return LDAIMetrics(success=True, usage=TokenUsage(5, 2, 3))
 
-    out = tracker.track_metrics_of(fn, extract)
+    out = tracker.track_metrics_of(extract, fn)
     assert out == "done"
     calls = client.track.mock_calls  # type: ignore
     assert any(c.args[0] == "$ld:ai:generation:success" for c in calls)
@@ -551,7 +551,7 @@ async def fn():
     def extract(r):
         return LDAIMetrics(success=True, usage=TokenUsage(5, 2, 3))
 
-    await tracker.track_metrics_of_async(fn, extract)
+    await tracker.track_metrics_of_async(extract, fn)
     gk_td = {**_base_td(), "graphKey": "gg"}
     calls = client.track.mock_calls  # type: ignore
     assert any(