Add shebang to examples and make them executable (#14)

* Add uv shebang to examples

* Make examples executable

examples/interactive.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to create interactive tools.
 

examples/output_shaping.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to use output shaping with Anthropic models.
 

examples/rag.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to do Retrieval Augmented Generation (RAG) with OpenAI,
 using the `sqlite-vec` extension to store and query the embeddings

examples/rpc.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to serve a function over HTTP with Hype.
 

examples/sudoku.py

@@ -1,12 +1,14 @@
+#!/usr/bin/env -S uv run --script
+
 """
-This example shows how to extract tables from an image.
+This example shows how to solve Sudoku puzzles with OpenAI.
 
 Download `uv` to run this example: https://github.com/astral-sh/uv
 
 ```
 export OPENAI_API_KEY="..."
 
-uv run examples/extract_tables.py
+uv run examples/sudoku.py
 ```
 """
 

examples/system_events.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to use Ollama and macOS System Events together.
 

examples/text_analysis.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to construct a simple text analysis tool using Hype.
 
@@ -27,7 +29,7 @@ class TextAnalysis(BaseModel):
         description="Flesch reading ease score (0-100, higher is easier)"
     )
 
-    @field_validator('reading_ease')
+    @field_validator("reading_ease")
     def clamp_reading_ease(cls, v: float) -> float:
         """Clamp reading ease score between 0 and 100"""
         return max(0, min(100, v))

examples/tool_use.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to use tools with Anthropic models.
 

examples/web_scraping.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env -S uv run --script
+
 """
 This example shows how to use tools with Anthropic models.