Fix: simple agent template notes (#4709)

* delete-youtube-template

* update-simple-agent

* update-description

* docs-package-and-yarn-lock

* update-edges

* descriptions-and-markdown

* readme

* tags

* update

hotfix for the tool_kit mode component update

* Update Simple Agent.json

added project tags

* Update Simple Agent.spec.ts

Playwright test update

* Update Simple Agent.spec.ts

* Update starter-projects.spec.ts

remove  youtube flow  from templates in test

---------

Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

src/backend/base/langflow/initial_setup/setup.py

@@ -46,19 +46,28 @@ STARTER_FOLDER_DESCRIPTION = "Starter projects to help you get started in Langfl
 
 
 def update_projects_components_with_latest_component_versions(project_data, all_types_dict):
-    # project data has a nodes key, which is a list of nodes
-    # we want to run through each node and see if it exists in the all_types_dict
-    # if so, we go into  the template key and also get the template from all_types_dict
-    # and update it all
+    # Flatten the all_types_dict for easy access
     all_types_dict_flat = {}
     for category in all_types_dict.values():
         for key, component in category.items():
             all_types_dict_flat[key] = component  # noqa: PERF403
+
     node_changes_log = defaultdict(list)
     project_data_copy = deepcopy(project_data)
+
     for node in project_data_copy.get("nodes", []):
         node_data = node.get("data").get("node")
         node_type = node.get("data").get("type")
+
+        # Skip updating if tool_mode is True
+        if node_data.get("tool_mode", False):
+            continue
+
+        # Skip nodes with outputs of the specified format
+        # NOTE: to account for the fact that the Simple Agent has dynamic outputs
+        if any(output.get("types") == ["Tool"] for output in node_data.get("outputs", [])):
+            continue
+
         if node_type in all_types_dict_flat:
             latest_node = all_types_dict_flat.get(node_type)
             latest_template = latest_node.get("template")

src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting.json

@@ -1082,7 +1082,7 @@
       "zoom": 0.7749929474098888
     }
   },
-  "description": "Get started with a simple prompt engineering flow. Customize AI responses by adjusting the system prompt template to create varied personalities.",
+  "description": "Perform basic prompting with an OpenAI model.",
   "endpoint_name": null,
   "icon": "Braces",
   "id": "1511c230-d446-43a7-bfc3-539e69ce05b8",

src/frontend/tests/core/integrations/Simple Agent.spec.ts

@@ -93,6 +93,6 @@ test("Simple Agent", async ({ page }) => {
 
   const concatAllText = textContents.join(" ").toLowerCase();
 
-  expect(concatAllText).toContain("apple");
-  expect(concatAllText.length).toBeGreaterThan(100);
+  expect(concatAllText).toContain("hello! how can i assist you today?");
+  expect(concatAllText.length).toBeGreaterThan(20);
 });

src/frontend/tests/extended/features/starter-projects.spec.ts

@@ -112,7 +112,6 @@ const templateIds = [
   "template_travel-planning-agents",
   "template_research-agent",
   "template_simple-agent",
-  "template_youtube-transcript-q&a",
   "template_sequential-tasks-agents",
   "template_market-research",
 ];