chore(py/genkit): use dotpromptz 0.1.4 from pypi (#3943)

Author: yesudeep

py/packages/genkit/pyproject.toml

@@ -46,6 +46,7 @@ dependencies = [
   "sse-starlette>=2.2.1",
   "pillow",
   "strenum>=0.4.15; python_version < '3.11'",
+  "dotpromptz>=0.1.4",
   "uvicorn>=0.34.0",
   "anyio>=4.9.0",
 ]

py/plugins/anthropic/pyproject.toml

@@ -1,3 +1,19 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+
 [project]
 authors = [{ name = "Google" }]
 classifiers = [

py/plugins/firebase/src/genkit/plugins/firebase/tests/test_telemetry.py

@@ -23,8 +23,8 @@
 
 
 def _create_model_span(
-    model_name: str = "gemini-pro",
-    path: str = "/{myflow,t:flow}",
+    model_name: str = 'gemini-pro',
+    path: str = '/{myflow,t:flow}',
     output: str = '{"usage": {"inputTokens": 100, "outputTokens": 50}}',
     is_ok: bool = True,
     start_time: int = 1000000000,
@@ -45,30 +45,30 @@ def _create_model_span(
     """
     mock_span = MagicMock(spec=ReadableSpan)
     mock_span.attributes = {
-        "genkit:type": "action",
-        "genkit:metadata:subtype": "model",
-        "genkit:name": model_name,
-        "genkit:path": path,
-        "genkit:output": output,
+        'genkit:type': 'action',
+        'genkit:metadata:subtype': 'model',
+        'genkit:name': model_name,
+        'genkit:path': path,
+        'genkit:output': output,
     }
     mock_span.status.is_ok = is_ok
     mock_span.start_time = start_time
     mock_span.end_time = end_time
     return mock_span
 
 
-@patch("genkit.plugins.firebase.add_gcp_telemetry")
+@patch('genkit.plugins.firebase.add_gcp_telemetry')
 def test_firebase_telemetry_delegates_to_gcp(mock_add_gcp_telemetry):
     """Test that Firebase telemetry delegates to GCP telemetry."""
     add_firebase_telemetry()
     mock_add_gcp_telemetry.assert_called_once_with(force_export=False)
 
 
-@patch("genkit.plugins.google_cloud.telemetry.metrics._output_tokens")
-@patch("genkit.plugins.google_cloud.telemetry.metrics._input_tokens")
-@patch("genkit.plugins.google_cloud.telemetry.metrics._latency")
-@patch("genkit.plugins.google_cloud.telemetry.metrics._failures")
-@patch("genkit.plugins.google_cloud.telemetry.metrics._requests")
+@patch('genkit.plugins.google_cloud.telemetry.metrics._output_tokens')
+@patch('genkit.plugins.google_cloud.telemetry.metrics._input_tokens')
+@patch('genkit.plugins.google_cloud.telemetry.metrics._latency')
+@patch('genkit.plugins.google_cloud.telemetry.metrics._failures')
+@patch('genkit.plugins.google_cloud.telemetry.metrics._requests')
 def test_record_generate_metrics_with_model_action(
     mock_requests,
     mock_failures,
@@ -91,16 +91,16 @@ def test_record_generate_metrics_with_model_action(
 
     # Create test span using helper
     mock_span = _create_model_span(
-        model_name="gemini-pro",
-        path="/{myflow,t:flow}",
+        model_name='gemini-pro',
+        path='/{myflow,t:flow}',
         output='{"usage": {"inputTokens": 100, "outputTokens": 50}}',
     )
 
     # Execute
     record_generate_metrics(mock_span)
 
     # Verify dimensions
-    expected_dimensions = {"model": "gemini-pro", "source": "myflow", "error": "none"}
+    expected_dimensions = {'model': 'gemini-pro', 'source': 'myflow', 'error': 'none'}
 
     # Verify requests counter
     mock_request_counter.add.assert_called_once_with(1, expected_dimensions)

py/pyproject.toml

@@ -16,7 +16,7 @@
 
 [project]
 dependencies = [
-  "dotpromptz==0.1.3",
+  "dotpromptz==0.1.4",
   "genkit",
   "genkit-plugin-anthropic",
   "genkit-plugin-dev-local-vectorstore",

py/samples/anthropic-hello/pyproject.toml

@@ -1,21 +1,37 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+
 [project]
-name = "anthropic-hello"
-version = "0.1.0"
-description = "Anthropic Hello Sample"
-requires-python = ">=3.10"
 dependencies = [
-    "genkit",
-    "genkit-plugin-anthropic",
-    "pydantic>=2.0.0",
-    "structlog>=24.0.0",
+  "genkit",
+  "genkit-plugin-anthropic",
+  "pydantic>=2.0.0",
+  "structlog>=24.0.0",
 ]
+description = "Anthropic Hello Sample"
+name = "anthropic-hello"
+requires-python = ">=3.10"
+version = "0.1.0"
 
 [tool.uv.sources]
 genkit-plugin-anthropic = { workspace = true }
 
 [build-system]
-requires = ["hatchling"]
 build-backend = "hatchling.build"
+requires      = ["hatchling"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["src"]