Prepare stable Workflows 0.2.13 and Streamvision 0.1.3 releases

docs/workflows/workload_introspection.md

@@ -573,7 +573,7 @@ The complete response below shows the result with `USE_INFERENCE_MODELS=False` o
 ```json
 {
   "type": "workflow_introspection_v1",
-  "execution_engine_version": "1.16.1",
+  "execution_engine_version": "1.17.0",
   "nodes": [
     {"type": "graph_node_v1", "id": "$inputs.image", "kind": "input"},
     {"type": "graph_node_v1", "id": "$steps.detection", "kind": "step"},

inference_model_manager/pyproject.toml

@@ -5,7 +5,7 @@ description = "Model lifecycle management: load, unload, evict, and dispatch inf
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-  "inference-models>=0.39.5rc2,<1.0",
+  "inference-models>=0.39.5,<1.0",
   "numpy",
   "imagecodecs",
   "filelock",

inference_server/pyproject.toml

@@ -32,9 +32,9 @@ onnx-cu118 = ["inference-model-manager[onnx-cu118]"]
 onnx-cu12 = ["inference-model-manager[onnx-cu12]"]
 onnx-jp6-cu126 = ["inference-model-manager[onnx-jp6-cu126]"]
 trt10-runtime = ["inference-model-manager[trt10-runtime]"]
-workflows = ["roboflow-workflows>=0.2.11rc1"]
-streams = ["streamvision[webrtc,workflows]>=0.1.2rc3"]
-enterprise = ["roboflow-workflows[enterprise]>=0.2.11rc1"]
+workflows = ["roboflow-workflows>=0.2.13"]
+streams = ["streamvision[webrtc,workflows]>=0.1.3"]
+enterprise = ["roboflow-workflows[enterprise]>=0.2.13"]
 redis = ["redis~=5.0.0"]
 otel = [
   "opentelemetry-api~=1.41.1",

requirements/requirements.streamvision.txt

@@ -1,2 +1,2 @@
 # keep in sync with stream_vision/pyproject.toml version
-streamvision[webrtc,workflows]==0.1.3rc1
+streamvision[webrtc,workflows]==0.1.3

requirements/requirements.workflows.txt

@@ -1,2 +1,2 @@
 # keep in sync with workflows/pyproject.toml version
-roboflow-workflows[enterprise]==0.2.13rc1
+roboflow-workflows[enterprise]==0.2.13

stream_vision/CHANGELOG.md

@@ -4,13 +4,17 @@ This is the canonical changelog for the `streamvision` package.
 
 ## Unreleased
 
-## `0.1.3rc1`
+## `0.1.3`
 
 ### Changed
 
-- The `workflows` extra requires `roboflow-workflows>=0.2.13rc1` instead of
+- The `workflows` extra requires `roboflow-workflows>=0.2.13` instead of
   `>=0.2.11rc1`, providing the execution-engine cleanup used below.
 
+### Documentation
+
+- Clarify `max_fps` behavior: video files retain every frame and wait by default; streams drop intermediate frames. `ENABLE_FRAME_DROP_ON_VIDEO_FILE_RATE_LIMITING=True` enables frame dropping for files, and the Inference CLI sets this flag automatically.
+
 ### Fixed
 
 - Joining a workflow `InferencePipeline` (after end of stream, `terminate()` or an inference error) now closes the workflow's blocks through `ExecutionEngine.close()`, after the workflow thread pools are shut down. Blocks with background connections, such as the OPC UA Reader, MQTT Reader and Kafka Consumer, no longer keep their threads and broker or server sessions while a stopped pipeline object is still referenced. With a `roboflow-workflows` that has no `ExecutionEngine.close()`, nothing changes.

stream_vision/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "streamvision"
-version = "0.1.3rc1"
+version = "0.1.3"
 description = "Video sources, InferencePipeline and the stream manager for Roboflow Inference"
 readme = "README.md"
 license = {file = "LICENSE"}
@@ -23,7 +23,7 @@ webrtc = [
 ]
 workflows = [
   "aiohttp~=3.14.4",
-  "roboflow-workflows>=0.2.13rc1",
+  "roboflow-workflows>=0.2.13",
   "torch>=2.0.1,<3.0.0",
 ]
 nvdec = [

workflows/CHANGELOG.md

@@ -16,6 +16,10 @@ for contributor and maintainer responsibilities.
 
 ## Unreleased
 
+## `0.2.13`
+
+Bundled execution engine: `1.17.0`.
+
 ### Changed
 
 - Require the stable `inference-models>=0.39.5` and `inference-sdk>=1.8.1`

workflows/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "roboflow-workflows"
-version = "0.2.13rc1"
+version = "0.2.13"
 description = "Roboflow Workflows execution engine and block library"
 readme = "README.md"
 license = {file = "LICENSE"}