[autofix.ci] apply automated fixes (attempt 2/3)

Author: autofix-ci[bot]

src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json

@@ -1324,7 +1324,7 @@
                   },
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "googleapiclient",

src/backend/base/langflow/initial_setup/starter_projects/Financial Report Parser.json

@@ -666,10 +666,10 @@
             "description": "### Configure your Model Provider",
             "display_name": "",
             "documentation": "",
+            "i18n_key": "template_notes.financial_report_parser.cd87cff6",
             "template": {
               "backgroundColor": "transparent"
-            },
-            "i18n_key": "template_notes.financial_report_parser.cd87cff6"
+            }
           },
           "type": "note"
         },
@@ -696,8 +696,8 @@
             "description": "# 📖 README\nThis template extracts key financial metrics from a given financial report text. The extracted data is structured and formatted for chat consumption.\n\n## Quick start\n\n1. Configure your **Model Provider** with your API credentials.\n2. Open the **Playground** to start the chat and run the flow.\nFor this example, the **Chat Input** component is pre-loaded with a sample financial report. The **Language Model** component identifies and retrieves the gross profit, EBITDA, net income, and operating expenses information from the financial report. Then, the **Structured Output** component formats extracted data into a structured format for better readability and further processing. Finally, the **Parser** component converts extracted data into a messages to be returned to the user.",
             "display_name": "",
             "documentation": "",
-            "template": {},
-            "i18n_key": "template_notes.financial_report_parser.210fb161"
+            "i18n_key": "template_notes.financial_report_parser.210fb161",
+            "template": {}
           },
           "type": "note"
         },
@@ -753,7 +753,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "trustcall",

src/backend/base/langflow/initial_setup/starter_projects/Hybrid Search RAG.json

@@ -1173,7 +1173,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "trustcall",

src/backend/base/langflow/initial_setup/starter_projects/Image Sentiment Analysis.json

@@ -707,8 +707,8 @@
             "description": "# 📖 README\nClassify images uploaded to the Playground by sentiment.\n\n## Prerequisites\n\n* [OpenAI API Key](https://platform.openai.com/)\n\n## Quick start\n\n1. Configure your **Model Provider** with your API credentials.\n\n2. Open the **Playground**, and then submit an image to the chat. \n\nThe LLM analyzes the image. The sentiment is output into a structured table according to the **Structured Output** component's Output Schema, and then parsed into a message for the Playground to display.",
             "display_name": "",
             "documentation": "",
-            "template": {},
-            "i18n_key": "template_notes.image_sentiment_analysis.f0d5bc2d"
+            "i18n_key": "template_notes.image_sentiment_analysis.f0d5bc2d",
+            "template": {}
           },
           "type": "note"
         },
@@ -1123,7 +1123,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "trustcall",

src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json

@@ -2078,7 +2078,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",

src/backend/base/langflow/initial_setup/starter_projects/Invoice Summarizer.json

@@ -1188,7 +1188,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",

src/backend/base/langflow/initial_setup/starter_projects/Knowledge Retrieval.json

@@ -558,7 +558,7 @@
                   },
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",

src/backend/base/langflow/initial_setup/starter_projects/Market Research.json

@@ -1198,7 +1198,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",
@@ -1979,7 +1979,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "trustcall",

src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json

@@ -1182,7 +1182,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",

src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json

@@ -806,7 +806,7 @@
                 "dependencies": [
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",
@@ -2131,7 +2131,7 @@
                   },
                   {
                     "name": "pydantic",
-                    "version": "2.12.5"
+                    "version": "2.13.3"
                   },
                   {
                     "name": "lfx",