Add Grok 4.7 to SpaceXAI block

inference/core/version.py

@@ -1,4 +1,4 @@
-__version__ = "1.6.2"
+__version__ = "1.6.2-post1"
 
 
 if __name__ == "__main__":

requirements/requirements.workflows.txt

@@ -1,2 +1,2 @@
 # keep in sync with workflows/pyproject.toml version
-roboflow-workflows[enterprise]==0.1.2
+roboflow-workflows[enterprise]==0.1.2.post1

workflows/CHANGELOG.md

@@ -2,6 +2,14 @@
 
 ## Unreleased
 
+### Added
+
+- SpaceXAI block (`spacexai@v3`): `grok-4.7` model option with `low`/`medium`/`high`/`xhigh` reasoning effort. Detection reuses the Grok 4.5/4.6 prompt.
+
+### Fixed
+
+- SpaceXAI object detection encodes PNG at compression level 9. OpenCV's default compression put large frames over xAI's 25MB upload limit.
+
 ---
 
 ## `0.1.2`

workflows/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "roboflow-workflows"
-version = "0.1.2"
+version = "0.1.2-post1"
 description = "Roboflow Workflows execution engine and block library"
 readme = "README.md"
 license = {file = "LICENSE"}

workflows/roboflow_workflows/core_steps/models/foundation/spacexai/v3.py

@@ -74,7 +74,13 @@
 XAI_BASE_URL = "https://api.x.ai/v1"
 
 # grok-4.5 `xhigh` excluded: xAI silently downgrades it to `high`.
+# grok-4.7 was not re-benchmarked; it reuses the 4.5/4.6 detection prompt.
 GROK_MODELS = [
+    {
+        "id": "grok-4.7",
+        "name": "Grok 4.7",
+        "reasoning_levels": ["low", "medium", "high", "xhigh"],
+    },
     {
         "id": "grok-4.6",
         "name": "Grok 4.6",
@@ -149,6 +155,7 @@
 
 Images for object detection are sent at original resolution as lossless PNG
 with `detail: "high"`, matching the vlm-exam benchmark setup for Grok 4.5/4.6.
+Grok 4.7 uses the same prompt and image handling.
 
 ## Version Differences
 
@@ -278,7 +285,7 @@ class BlockManifest(WorkflowBlockManifest):
     ] = Field(
         default="grok-4.6",
         description="Model to be used",
-        examples=["grok-4.6", "grok-4.5", "$inputs.grok_model"],
+        examples=["grok-4.7", "grok-4.6", "grok-4.5", "$inputs.grok_model"],
         json_schema_extra={
             "values_metadata": MODEL_VERSION_METADATA,
         },
@@ -293,9 +300,10 @@ class BlockManifest(WorkflowBlockManifest):
         description=(
             "Optional reasoning effort passed to xAI as "
             '`reasoning: {"effort": ...}`. Grok models default to "high" and '
-            'cannot disable reasoning. "xhigh" is only supported by grok-4.6. '
-            "For requests with a direct xAI key, the request is retried "
-            "without reasoning when the model rejects the parameter."
+            'cannot disable reasoning. "xhigh" is not supported by grok-4.5. '
+            "With a direct xAI key, if the model rejects the `reasoning` "
+            "parameter the request is retried without it, so the model falls "
+            "back to its default effort."
         ),
         examples=["low", "high"],
     )
@@ -563,7 +571,15 @@ def encode_image_for_task(
 
 
 def _encode_image_to_png_bytes(image: np.ndarray) -> bytes:
-    _, encoded_image = cv2.imencode(".png", image)
+    # OpenCV's default PNG compression (level 1) puts the large drone frames
+    # in the detection benchmark over xAI's 25MB upload limit, so those
+    # requests 400. Level 9 is still lossless and stays under the limit,
+    # matching the benchmark's PIL encoder.
+    _, encoded_image = cv2.imencode(
+        ".png",
+        image,
+        [cv2.IMWRITE_PNG_COMPRESSION, 9],
+    )
     return encoded_image.tobytes()
 
 

workflows/tests/unit_tests/core_steps/common/test_reasoning_contract.py

@@ -13,6 +13,7 @@
 from roboflow_workflows.core_steps.models.foundation.openai import v6 as openai_v6
 from roboflow_workflows.core_steps.models.foundation.qwen_vlm import v3 as qwen_vlm_v3
 from roboflow_workflows.core_steps.models.foundation.spacexai import v2 as spacexai_v2
+from roboflow_workflows.core_steps.models.foundation.spacexai import v3 as spacexai_v3
 from roboflow_workflows.core_steps.models.foundation.zai_vlm import v1 as zai_vlm_v1
 
 _LEVELS = {"model-a": ["low", "high"], "model-b": []}
@@ -71,6 +72,12 @@ def test_validate_reasoning_level_rejects_model_without_levels():
         spacexai_v2.MODEL_VERSION_METADATA,
         None,
     ),
+    "spacexai@v3": (
+        spacexai_v3.MODEL_REASONING_LEVELS,
+        spacexai_v3.REASONING_EFFORT_VALUES,
+        spacexai_v3.MODEL_VERSION_METADATA,
+        None,
+    ),
     "meta_vlm@v2": (
         meta_vlm_v2.MODEL_REASONING_LEVELS,
         meta_vlm_v2.REASONING_EFFORT_OPTIONS,
@@ -141,6 +148,7 @@ def test_block_default_level_is_valid_for_every_model(block):
     "open_ai@v6": openai_v6.BlockManifest,
     "google_gemini@v5": gemini_v5.BlockManifest,
     "spacexai@v2": spacexai_v2.BlockManifest,
+    "spacexai@v3": spacexai_v3.BlockManifest,
     "meta_vlm@v2": meta_vlm_v2.BlockManifest,
     "qwen_vlm@v3": qwen_vlm_v3.BlockManifest,
 }
@@ -154,7 +162,7 @@ def _manifest(block_type: str, **overrides):
         "task_type": "unconstrained",
         "prompt": "describe",
     }
-    if block_type == "spacexai@v2":
+    if block_type in {"spacexai@v2", "spacexai@v3"}:
         spec["api_key"] = "$inputs.xai_api_key"
     spec.update(overrides)
     return _MANIFESTS[block_type].model_validate(spec)
@@ -166,6 +174,7 @@ def _manifest(block_type: str, **overrides):
         ("open_ai@v6", {"model_version": "$inputs.model", "reasoning_effort": "xhigh"}),
         ("open_ai@v6", {"model_version": "gpt-4o"}),
         ("qwen_vlm@v3", {"backend": "native"}),
+        ("spacexai@v3", {"model_version": "grok-4.7", "reasoning_effort": "xhigh"}),
     ],
 )
 def test_manifest_accepts_edges_rejects_cannot_cover(block_type, overrides):
@@ -194,6 +203,7 @@ def test_manifest_accepts_edges_rejects_cannot_cover(block_type, overrides):
             {"model_version": "gemini-2.5-pro", "thinking_level": "low"},
         ),
         ("spacexai@v2", {"model_version": "grok-4.5", "reasoning_effort": "xhigh"}),
+        ("spacexai@v3", {"model_version": "grok-4.5", "reasoning_effort": "xhigh"}),
         (
             "meta_vlm@v2",
             {"model_version": "Muse Glimmer", "reasoning_effort": "minimal"},

workflows/tests/unit_tests/core_steps/models/foundation/test_spacexai_v3.py

@@ -8,11 +8,13 @@
 
 from unittest.mock import MagicMock, patch
 
+import cv2
 import numpy as np
 import pytest
 from roboflow_workflows.core_steps.models.foundation.spacexai.v3 import (
     BlockManifest,
     SpaceXAIBlockV3,
+    _encode_image_to_png_bytes,
 )
 from roboflow_workflows.execution_engine.entities.base import WorkflowImageData
 
@@ -174,3 +176,12 @@ def test_run_reports_error_status_for_undecodable_detection_output(mock_promptin
 
     assert result[0]["predictions"] is None
     assert result[0]["error_status"] is True
+
+
+def test_detection_png_uses_compression_that_fits_xai_upload_limit():
+    image = np.random.default_rng(0).integers(0, 256, (128, 128, 3), dtype=np.uint8)
+
+    encoded = _encode_image_to_png_bytes(image)
+    _, compressed = cv2.imencode(".png", image, [cv2.IMWRITE_PNG_COMPRESSION, 9])
+
+    assert encoded == compressed.tobytes()