bump

docs/concepts/caching.md

@@ -33,12 +33,12 @@ def extract(data) -> UserDetail:
 start = time.perf_counter()  # (1)
 model = extract("Extract jason is 25 years old")
 print(f"Time taken: {time.perf_counter() - start}")
-#> Time taken: 0.4529974169563502
+#> Time taken: 0.4476582088973373
 
 start = time.perf_counter()
 model = extract("Extract jason is 25 years old")  # (2)
 print(f"Time taken: {time.perf_counter() - start}")
-#> Time taken: 7.080379873514175e-07
+#> Time taken: 2.7909409254789352e-06
 ```
 
 1. Using `time.perf_counter()` to measure the time taken to run the function is better than using `time.time()` because it's more accurate and less susceptible to system clock changes.

docs/concepts/lists.md

@@ -159,8 +159,8 @@ async def print_iterable_results():
     )
     async for m in model:
         print(m)
-        #> name='John Doe' age=30
-        #> name='Jane Doe' age=28
+        #> name='John Doe' age=45
+        #> name='Jane Doe' age=40
 
 
 import asyncio

docs/concepts/parallel.md

@@ -46,7 +46,7 @@ for fc in function_calls:
     print(fc)
     #> location='Toronto' units='metric'
     #> location='Dallas' units='imperial'
-    #> query='who won the super bowl'
+    #> query='Super Bowl winner'
 ```
 
 1. Set the mode to `PARALLEL_TOOLS` to enable parallel function calling.