Added support for Anthropic models

modules/textInferenceInputs.py

@@ -0,0 +1,48 @@
+"""Runware Text Inference Inputs — merge Images + Videos blocks into task.inputs for textInference."""
+
+from typing import Any, Dict, Tuple
+
+
+class RunwareTextInferenceInputs:
+    """Merge Runware Text Inference Inputs Images and/or Videos into a single inputs dict."""
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {},
+            "optional": {
+                "images": ("RUNWARETEXTINFERENCEINPUTSIMAGES", {
+                    "tooltip": "Connect Runware Text Inference Inputs Images for inputs.images[].",
+                }),
+                "videos": ("RUNWARETEXTINFERENCEINPUTSVIDEOS", {
+                    "tooltip": "Connect Runware Text Inference Inputs Videos for inputs.videos[].",
+                }),
+            },
+        }
+
+    RETURN_TYPES = ("RUNWARETEXTINFERENCEINPUTS",)
+    RETURN_NAMES = ("inputs",)
+    FUNCTION = "merge_inputs"
+    CATEGORY = "Runware/Text"
+    DESCRIPTION = (
+        "Combine Runware Text Inference Inputs Images and/or Videos into inputs for Runware Text Inference "
+        "(inputs.images, inputs.videos)."
+    )
+
+    def merge_inputs(self, **kwargs) -> Tuple[Dict[str, Any], ...]:
+        images_block = kwargs.get("images")
+        videos_block = kwargs.get("videos")
+
+        out: Dict[str, Any] = {}
+
+        if isinstance(images_block, dict) and images_block.get("images"):
+            imgs = images_block["images"]
+            if isinstance(imgs, list) and len(imgs) > 0:
+                out["images"] = [str(x).strip() for x in imgs if x is not None and str(x).strip()]
+
+        if isinstance(videos_block, dict) and videos_block.get("videos"):
+            vids = videos_block["videos"]
+            if isinstance(vids, list) and len(vids) > 0:
+                out["videos"] = [str(x).strip() for x in vids if x is not None and str(x).strip()]
+
+        return (out,)