# Review Comment

- **Author:** coderabbitai[bot]
- **File:** `packages/providers/fal/text-to-video/fal_text_to_video/models/grok.py`
- **Line:** 33
- **Date:** 2026-01-30
- **Comment ID:** 2744771117
- **URL:** https://github.com/donghaozhang/video-agent-skill/pull/14#discussion_r2744771117

---

_⚠️ Potential issue_ | _🟡 Minor_

<details>
<summary>🧩 Analysis chain</summary>

🏁 Script executed:

```shell
#!/bin/bash
# First, check if the file exists and read it
file_path="packages/providers/fal/text-to-video/fal_text_to_video/models/grok.py"
if [ -f "$file_path" ]; then
  wc -l "$file_path"
  echo "--- File Contents ---"
  cat -n "$file_path"
else
  echo "File not found: $file_path"
fi
```

Repository: donghaozhang/video-agent-skill

Length of output: 5214

---

🏁 Script executed:

```shell
#!/bin/bash
# Verify AST to confirm type hints precisely
python3 - <<'PYEOF'
import ast
import inspect

path = "packages/providers/fal/text-to-video/fal_text_to_video/models/grok.py"
with open(path) as f:
    tree = ast.parse(f.read())

class_node = None
for node in ast.walk(tree):
    if isinstance(node, ast.ClassDef) and node.name == "GrokImagineModel":
        class_node = node
        break

if class_node:
    print("Methods in GrokImagineModel:")
    for node in class_node.body:
        if isinstance(node, ast.FunctionDef):
            print(f"\n{node.name} (line {node.lineno}):")
            print(f"  Return annotation: {ast.unparse(node.returns) if node.returns else 'MISSING'}")
            if node.args.kwarg:
                kwarg_ann = node.args.kwarg.annotation
                print(f"  **{node.args.kwarg.arg} annotation: {ast.unparse(kwarg_ann) if kwarg_ann else 'MISSING'}")
            docstring = ast.get_docstring(node)
            print(f"  Docstring: {'YES' if docstring else 'NO'}")
            if docstring:
                has_cost = 'cost' in docstring.lower() or 'pricing' in docstring.lower()
                has_example = 'example' in docstring.lower()
                print(f"    - Has Cost info: {has_cost}")
                print(f"    - Has Example: {has_example}")
PYEOF
```

Repository: donghaozhang/video-agent-skill

Length of output: 786

---



</details>

**Add missing type hints and complete docstrings for public methods.**

`__init__` (line 31) lacks a return type annotation and docstring. Additionally, `**kwargs` is untyped in `validate_parameters`, `prepare_arguments`, and `estimate_cost`. All docstrings are missing Example sections, and `validate_parameters` and `prepare_arguments` are also missing Cost information.

<details>
<summary>✅ Suggested type-hint and docstring updates</summary>

```diff
     def __init__(self):
+        """Initialize Grok Imagine model."""
-        super().__init__("grok_imagine")
+    def __init__(self) -> None:
+        super().__init__("grok_imagine")

-    def validate_parameters(self, **kwargs) -> Dict[str, Any]:
+    def validate_parameters(self, **kwargs: Any) -> Dict[str, Any]:
         """
         Validate Grok Imagine parameters.
 
         Args:
             **kwargs: Model parameters including duration, resolution, aspect_ratio
 
         Returns:
             Dict with validated parameters
+
+        Cost:
+            Validation only, no API cost.
+
+        Example:
+            params = model.validate_parameters(duration=10, resolution="720p")
 
         Raises:
             ValueError: If any parameter is invalid
         """

-    def prepare_arguments(self, prompt: str, **kwargs) -> Dict[str, Any]:
+    def prepare_arguments(self, prompt: str, **kwargs: Any) -> Dict[str, Any]:
         """
         Prepare API arguments for Grok Imagine Video.
 
         Args:
             prompt: Text description for video generation
             **kwargs: Validated parameters
 
         Returns:
             Dict of arguments for fal_client.subscribe()
+
+        Cost:
+            Preparation only, no API cost.
+
+        Example:
+            args = model.prepare_arguments("A sunset over ocean", duration=8)
         """

     def get_model_info(self) -> Dict[str, Any]:
         """
         Get Grok Imagine model information.
 
         Returns:
             Dict with model metadata, endpoint, and pricing
+
+        Example:
+            info = model.get_model_info()
         """

-    def estimate_cost(self, duration: int = 6, **kwargs) -> float:
+    def estimate_cost(self, duration: int = 6, **kwargs: Any) -> float:
         """
         Estimate cost based on duration.
 
         Pricing: $0.30 for 6s base, $0.05 per additional second.
 
         Args:
             duration: Video duration in seconds (1-15)
             **kwargs: Additional parameters (unused)
 
         Returns:
             Estimated cost in USD
+
+        Example:
+            cost = model.estimate_cost(duration=10)  # Returns 0.50
         """
```
</details>

<details>
<summary>🤖 Prompt for AI Agents</summary>

```
In `@packages/providers/fal/text-to-video/fal_text_to_video/models/grok.py` around
lines 31 - 33, Add explicit type hints and complete docstrings for the public
methods: annotate __init__ as def __init__(self) -> None and add a short
docstring describing the model initialization; type-hint **kwargs in
validate_parameters, prepare_arguments, and estimate_cost (e.g., **kwargs: Any
or **kwargs: Dict[str, Any] after importing typing.Any/Dict) and declare their
return types (e.g., -> Dict[str, Any] or -> bool as appropriate); expand each
docstring to include Args, Returns, an Example showing typical usage, and for
validate_parameters and prepare_arguments include a Cost section describing
expected cost implications; update the docstrings in the methods __init__,
validate_parameters, prepare_arguments, and estimate_cost and import any typing
names you use.
```

</details>

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