diff --git a/_extensions/quarto-ext/shinylive/_extension.yml b/_extensions/quarto-ext/shinylive/_extension.yml
index 01b4d68b..6634416d 100644
--- a/_extensions/quarto-ext/shinylive/_extension.yml
+++ b/_extensions/quarto-ext/shinylive/_extension.yml
@@ -1,8 +1,8 @@
 name: shinylive
 title: Embedded Shinylive applications
 author: Winston Chang
-version: 0.1.0
-quarto-required: ">=1.2.198"
+version: 0.2.0
+quarto-required: ">= 1.2.198"
 contributes:
   filters:
     - shinylive.lua
diff --git a/_extensions/quarto-ext/shinylive/shinylive.lua b/_extensions/quarto-ext/shinylive/shinylive.lua
index e2828db6..6890a7a3 100644
--- a/_extensions/quarto-ext/shinylive/shinylive.lua
+++ b/_extensions/quarto-ext/shinylive/shinylive.lua
@@ -393,6 +393,16 @@ function getShinyliveBaseDeps(language)
   return deps
 end
 
+-- Legacy quarto cli location
+quarto_cli_path = "quarto"
+if quarto.config ~= nil and quarto.config.cli_path ~= nil then
+  -- * 2024/05/03 - Christophe:
+  --   `quarto run` needs to be called using the same quarto CLI that called the extension.
+  --   This is done by using `quarto.config.cli_path()` from Quarto 1.5 Lua API.
+  --   https://github.com/quarto-dev/quarto-cli/pull/9576
+  quarto_cli_path = quarto.config.cli_path()
+end
+
 return {
   {
     CodeBlock = function(el)
@@ -415,7 +425,7 @@ return {
 
       -- Convert code block to JSON string in the same format as app.json.
       local parsedCodeblockJson = pandoc.pipe(
-        "quarto",
+        quarto_cli_path,
         { "run", codeblockScript, language },
         el.text
       )
diff --git a/docs/jupyter-widgets.qmd b/docs/jupyter-widgets.qmd
index 6e4cb7e3..06a27e6c 100644
--- a/docs/jupyter-widgets.qmd
+++ b/docs/jupyter-widgets.qmd
@@ -58,29 +58,30 @@ from shiny.express import input, ui
 from shinywidgets import render_altair
 import soft_dependencies
 
-ui.input_selectize(
-    "var", "Select variable",
-    choices=["bill_length_mm", "body_mass_g"]
-)
+ui.input_selectize("var", "Select variable", choices=["bill_length_mm", "body_mass_g"])
+
 
 @render_altair
 def hist():
     import altair as alt
     from palmerpenguins import load_penguins
     df = load_penguins()
-    return alt.Chart(df).mark_bar().encode(
-        x=alt.X(f"{input.var()}:Q", bin=True),
-        y="count()"
+    return (
+        alt.Chart(df)
+        .mark_bar()
+        .encode(x=alt.X(f"{input.var()}:Q", bin=True), y="count()")
     )
 ## file: requirements.txt
 altair
 anywidget
 palmerpenguins
 jsonschema
+jsonschema - specifications
 ## file: soft_dependencies.py
 # Temporary workaround to inform shinylive of soft dependencies
 import anywidget
 import jsonschema
+import jsonschema_specifications
 import mypy_extensions
 import toolz
 ```
@@ -393,6 +394,7 @@ import altair as alt
 from shiny.express import render
 from shinywidgets import reactive_read, render_altair
 from vega_datasets import data
+import soft_dependencies
 
 "Click the legend to update the selection"
 
@@ -404,15 +406,31 @@ def selection():
 @render_altair
 def jchart():
     brush = alt.selection_point(name="point", encodings=["color"], bind="legend")
-    return alt.Chart(data.cars()).mark_point().encode(
-        x='Horsepower:Q',
-        y='Miles_per_Gallon:Q',
-        color=alt.condition(brush, 'Origin:N', alt.value('grey')),
-    ).add_params(brush)
+    return (
+        alt.Chart(data.cars())
+        .mark_point()
+        .encode(
+            x="Horsepower:Q",
+            y="Miles_per_Gallon:Q",
+            color=alt.condition(brush, "Origin:N", alt.value("grey")),
+        )
+        .add_params(brush)
+    )
+
+
 ## file: requirements.txt
 altair
 anywidget
 vega_datasets
+jsonschema
+jsonschema-specifications
+## file: soft_dependencies.py
+# Temporary workaround to inform shinylive of soft dependencies
+import anywidget
+import jsonschema
+import jsonschema_specifications
+import mypy_extensions
+import toolz
 ```
 
 
diff --git a/docs/overview.qmd b/docs/overview.qmd
index af61eb33..0c498745 100644
--- a/docs/overview.qmd
+++ b/docs/overview.qmd
@@ -153,19 +153,22 @@ def hist():
     import altair as alt
     from palmerpenguins import load_penguins
     df = load_penguins()
-    return alt.Chart(df).mark_bar().encode(
-        x=alt.X(f"{input.var()}:Q", bin=True),
-        y="count()"
+    return (
+        alt.Chart(df)
+        .mark_bar()
+        .encode(x=alt.X(f"{input.var()}:Q", bin=True), y="count()")
     )
 ## file: requirements.txt
 altair
 anywidget
 palmerpenguins
 jsonschema
+jsonschema-specifications
 ## file: soft_dependencies.py
 # Temporary workaround to inform shinylive of soft dependencies
 import anywidget
 import jsonschema
+import jsonschema_specifications
 import mypy_extensions
 import toolz
 ```