Updated docs (where relevant) to use wrapper function

01-hello/src/entry.py

@@ -1,4 +1,5 @@
-from workers import Response
+from workers import handler, Response
 
+@handler
 async def on_fetch(request, env):
     return Response("Hello world!")

02-binding/src/entry.py

@@ -1,5 +1,6 @@
-from workers import Response
+from workers import handler, Response
 
+@handler
 async def on_fetch(request, env):
     await env.FOO.put("bar", "baz")
     bar = await env.FOO.get("bar")

04-langchain/src/worker.py

@@ -1,7 +1,8 @@
-from workers import Response
+from workers import handler, Response
 from langchain_core.prompts import PromptTemplate
 from langchain_openai import OpenAI
 
+@handler
 async def on_fetch(request, env):
   prompt = PromptTemplate.from_template("Complete the following sentence: I am a {profession} and ")
   llm = OpenAI(api_key=env.API_KEY)

05-query-d1/src/entry.py

@@ -1,5 +1,6 @@
-from workers import Response
+from workers import handler, Response
 
+@handler
 async def on_fetch(request, env):
     query = """
         SELECT quote, author
@@ -8,7 +9,7 @@ async def on_fetch(request, env):
         LIMIT 1;
         """
     results = await env.DB.prepare(query).all()
-    data = results.results[0] 
+    data = results.results[0]
 
     # Return a JSON response
     return Response.json(data)