Added moondream to readme and pyproject

Author: alexlin2

dimos/models/vl/README.md

@@ -20,3 +20,48 @@ image = Image.from_file("path/to/your/image.jpg")
 response = model.query(image.data, "What do you see in this image?")
 print(response)
 ```
+
+## Moondream Hosted Model
+
+The `MoondreamHostedVlModel` class provides access to the hosted Moondream API for fast vision-language tasks.
+
+**Prerequisites:**
+
+You must export your API key before using the model:
+```bash
+export MOONDREAM_API_KEY="your_api_key_here"
+```
+
+### Capabilities
+
+The model supports four modes of operation:
+
+1. **Caption**: Generate a description of the image.
+2. **Query**: Ask natural language questions about the image.
+3. **Detect**: Find bounding boxes for specific objects.
+4. **Point**: Locate the center points of specific objects.
+
+### Example Usage
+
+```python
+from dimos.models.vl.moondream_hosted import MoondreamHostedVlModel
+from dimos.msgs.sensor_msgs import Image
+
+model = MoondreamHostedVlModel()
+image = Image.from_file("path/to/image.jpg")
+
+# 1. Caption
+print(f"Caption: {model.caption(image)}")
+
+# 2. Query
+print(f"Answer: {model.query(image, 'Is there a person in the image?')}")
+
+# 3. Detect (returns ImageDetections2D)
+detections = model.query_detections(image, "person")
+for det in detections.detections:
+    print(f"Found person at {det.bbox}")
+
+# 4. Point (returns list of (x, y) coordinates)
+points = model.point(image, "person")
+print(f"Person centers: {points}")
+```

pyproject.toml

@@ -28,6 +28,7 @@ dependencies = [
     "openai",
     "anthropic>=0.19.0",
     "cerebras-cloud-sdk",
+    "moondream",
     "numpy>=1.26.4,<2.0.0",
     "colorlog==6.9.0",
     "yapf==0.40.2",