feat: Implement Tracking API

.github/workflows/pytest.yml

@@ -11,7 +11,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: ['3.9', '3.10', '3.11', '3.12']
+        python-version: ['3.10', '3.11', '3.12', '3.13', '3.14']
 
     steps:
       - name: Cloning repo

README.md

@@ -60,6 +60,55 @@ provider = FlagsmithProvider(
 The provider can then be used with the OpenFeature client as per
 [the documentation](https://openfeature.dev/docs/reference/concepts/evaluation-api#setting-a-provider).
 
+### Tracking
+
+The provider supports the [OpenFeature tracking API](https://openfeature.dev/specification/sections/tracking/), which lets you associate user actions with feature flag evaluations for experimentation.
+
+Tracking requires pipeline analytics to be enabled on the **Flagsmith client** (available from `flagsmith` version 5.2.0). The provider acts as a thin delegate — all buffering and flushing is managed by the client.
+
+```python
+from flagsmith import Flagsmith, PipelineAnalyticsConfig
+from openfeature import api
+from openfeature.evaluation_context import EvaluationContext
+from openfeature.track import TrackingEventDetails
+from openfeature_flagsmith.provider import FlagsmithProvider
+
+# Enable pipeline analytics on the Flagsmith client
+client = Flagsmith(
+    environment_key="your-environment-key",
+    pipeline_analytics_config=PipelineAnalyticsConfig(
+        analytics_server_url="https://analytics-collector.flagsmith.com/",
+        max_buffer_items=1000,      # optional, default 1000
+        flush_interval_seconds=10,  # optional, default 10s
+    ),
+)
+
+api.set_provider(FlagsmithProvider(client=client))
+of_client = api.get_client()
+
+# Flag evaluations are tracked automatically — no extra code needed
+variant = of_client.get_string_value(
+    "checkout-variant",
+    "control",
+    evaluation_context=EvaluationContext(targeting_key="user-123"),
+)
+
+# Track a custom event explicitly
+of_client.track(
+    "purchase",
+    evaluation_context=EvaluationContext(
+        targeting_key="user-123",
+        attributes={"plan": "premium"},
+    ),
+    tracking_event_details=TrackingEventDetails(
+        value=99.77,
+        attributes={"currency": "USD"},
+    ),
+)
+```
+
+If `pipeline_analytics_config` is not set on the Flagsmith client, calls to `track()` are silently ignored.
+
 ### Evaluation Context
 
 The evaluation context supports traits in two ways:

openfeature_flagsmith/provider.py

@@ -12,7 +12,8 @@
     TypeMismatchError,
 )
 from openfeature.flag_evaluation import FlagResolutionDetails, FlagType
-from openfeature.provider import Metadata, AbstractProvider
+from openfeature.provider import AbstractProvider, Metadata
+from openfeature.track import TrackingEventDetails
 
 from openfeature_flagsmith.exceptions import FlagsmithProviderError
 
@@ -24,6 +25,17 @@
 }
 
 
+class TrackingMetadata(typing.TypedDict, total=False):
+    """
+    Shape of the metadata dict forwarded to ``Flagsmith.track_event``.
+
+    ``value`` holds the numeric value from ``TrackingEventDetails.value`` when
+    set. All other keys pass through from ``TrackingEventDetails.attributes``.
+    """
+
+    value: float
+
+
 class FlagsmithProvider(AbstractProvider):
     def __init__(
         self,
@@ -37,6 +49,49 @@ def __init__(
         self.use_flagsmith_defaults = use_flagsmith_defaults
         self.use_boolean_config_value = use_boolean_config_value
 
+    def track(
+        self,
+        tracking_event_name: str,
+        evaluation_context: typing.Optional[EvaluationContext] = None,
+        tracking_event_details: typing.Optional[TrackingEventDetails] = None,
+    ) -> None:
+        """
+        Records a custom event via the Flagsmith client's pipeline analytics.
+
+        No-ops if the client lacks pipeline analytics support or configuration.
+        An explicit ``tracking_event_details.value`` overrides any same-named
+        key in ``attributes``.
+        """
+        # Guard against older flagsmith versions or duck-typed clients
+        # that don't have track_event.
+        if not hasattr(self._client, "track_event"):
+            return
+
+        identifier = evaluation_context.targeting_key if evaluation_context else None
+        traits = self._extract_traits(evaluation_context)
+
+        metadata: typing.Optional[TrackingMetadata] = None
+        if tracking_event_details is not None:
+            metadata = typing.cast(
+                TrackingMetadata, dict(tracking_event_details.attributes)
+            )
+            if tracking_event_details.value is not None:
+                metadata["value"] = tracking_event_details.value
+            if not metadata:
+                metadata = None
+
+        try:
+            self._client.track_event(
+                tracking_event_name,
+                identity_identifier=identifier,
+                traits=traits,
+                metadata=metadata,
+            )
+        except ValueError:
+            # Flagsmith raises ValueError when pipeline analytics is not
+            # configured; OpenFeature spec requires track() to no-op.
+            return
+
     def get_metadata(self) -> Metadata:
         return Metadata(name="FlagsmithProvider")
 
@@ -132,12 +187,21 @@ def _resolve(
             % (flag_key, flag_type.value)
         )
 
+    @staticmethod
+    def _extract_traits(
+        evaluation_context: typing.Optional[EvaluationContext],
+    ) -> typing.Optional[typing.Dict[str, typing.Any]]:
+        if not evaluation_context or not evaluation_context.attributes:
+            return None
+        nested = evaluation_context.attributes.get("traits", {})
+        flat = {k: v for k, v in evaluation_context.attributes.items() if k != "traits"}
+        merged = {**flat, **nested}
+        return merged or None
+
     def _get_flags(self, evaluation_context: EvaluationContext = EvaluationContext()):
         if targeting_key := evaluation_context.targeting_key:
-            nested_traits = evaluation_context.attributes.pop("traits", {})
-            flattened_traits = {**evaluation_context.attributes, **nested_traits}
             return self._client.get_identity_flags(
                 identifier=targeting_key,
-                traits=flattened_traits,
+                traits=self._extract_traits(evaluation_context) or {},
             )
         return self._client.get_environment_flags()

pyproject.toml

@@ -6,10 +6,10 @@ authors = [
     { name = "Matthew Elwell", email = "matthew.elwell@flagsmith.com>" }
 ]
 readme = "README.md"
-requires-python = ">=3.9,<4.0"
+requires-python = ">=3.10,<4.0"
 dependencies = [
-    "flagsmith (>=3.6.0,<6.0.0)",
-    "openfeature-sdk (>=0.6.0,<0.9.0)",
+    "flagsmith (>=5.2.0,<7.0.0)",
+    "openfeature-sdk (>=0.9.0,<0.10.0)",
 ]
 
 [tool.poetry]