chore: 🥁 tagging v1.7.2 🥳

Signed-off-by: Evzen Gasta <evzen.ml@seznam.cz>

Signed-off-by: Jeff MAURY <jmaury@redhat.com>

.github/workflows/release.yaml

@@ -150,7 +150,7 @@ jobs:
   release:
     needs: [tag, build]
     name: Release
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
     steps:
       - name: id
         run: echo the release id is ${{ needs.tag.outputs.releaseId}}

package.json

@@ -3,7 +3,7 @@
   "displayName": "ai-lab-monorepo",
   "description": "ai-lab-monorepo",
   "publisher": "redhat",
-  "version": "1.7.0-next",
+  "version": "1.7.2",
   "license": "Apache-2.0",
   "private": true,
   "engines": {

packages/backend/package.json

@@ -2,7 +2,7 @@
   "name": "ai-lab",
   "displayName": "Podman AI Lab",
   "description": "Podman AI Lab lets you work with LLMs locally, exploring AI fundamentals, experimenting with models and prompts, and serving models while maintaining data security and privacy.",
-  "version": "1.7.0-next",
+  "version": "1.7.2",
   "icon": "icon.png",
   "type": "module",
   "publisher": "redhat",

packages/backend/src/assets/ai.json

@@ -6,7 +6,7 @@
       "description": "This recipe provides a blueprint for developers to create their own AI-powered chat applications using Streamlit.",
       "name": "ChatBot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot",
@@ -28,7 +28,7 @@
       "description": "This recipe provides a blueprint for developers to create their own AI-powered chat applications with the pydantic framework using Streamlit",
       "name": "Chatbot PydanticAI",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-pydantic-ai",
@@ -43,7 +43,7 @@
       "description": "This recipe shows how ReAct can be used to create an intelligent music discovery assistant with Spotify API.",
       "name": "ReAct Agent Application",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/agents",
@@ -65,7 +65,7 @@
       "description": "This recipe guides into creating custom LLM-powered summarization applications using Streamlit.",
       "name": "Summarizer",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/summarizer",
@@ -88,7 +88,7 @@
       "description": "This recipes showcases how to leverage LLM to build your own custom code generation application.",
       "name": "Code Generation",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "generator",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/codegen",
@@ -109,7 +109,7 @@
       "description": "This application illustrates how to integrate RAG (Retrieval Augmented Generation) into LLM applications enabling to interact with your own documents.",
       "name": "RAG Chatbot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/rag",
@@ -131,7 +131,7 @@
       "description": "This application illustrates how to integrate RAG (Retrieval Augmented Generation) into LLM applications written in Node.js enabling to interact with your own documents.",
       "name": "Node.js RAG Chatbot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/rag-nodejs",
@@ -153,7 +153,7 @@
       "description": "This is a Java Quarkus-based recipe demonstrating how to create an AI-powered chat applications.",
       "name": "Java-based ChatBot (Quarkus)",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-java-quarkus",
@@ -175,7 +175,7 @@
       "description": "This is a NodeJS based recipe demonstrating how to create an AI-powered chat applications.",
       "name": "Node.js based ChatBot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-nodejs",
@@ -197,7 +197,7 @@
       "description": "This recipes guides into multiple function calling use cases, showing the ability to structure data and chain multiple tasks, using Streamlit.",
       "name": "Function calling",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/function_calling",
@@ -215,7 +215,7 @@
       "description": "This recipes guides into multiple function calling use cases, showing the ability to structure data and chain multiple tasks, using Streamlit.",
       "name": "Node.js Function calling",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/function-calling-nodejs",
@@ -233,7 +233,7 @@
       "description": "This demo provides a recipe to build out a custom Graph RAG (Graph Retrieval Augmented Generation) application using the repo LightRag which abstracts Microsoft's GraphRag implementation. It consists of two main components; the Model Service, and the AI Application with a built in Database.",
       "name": "Graph RAG Chat Application",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/graph-rag",
@@ -248,7 +248,7 @@
       "description": "This application demonstrate how to use LLM for transcripting an audio into text.",
       "name": "Audio to Text",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "generator",
       "categories": ["audio"],
       "basedir": "recipes/audio/audio_to_text",
@@ -263,7 +263,7 @@
       "description": "This recipe illustrates how to use LLM to interact with images and build object detection applications.",
       "name": "Object Detection",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "generator",
       "categories": ["computer-vision"],
       "basedir": "recipes/computer_vision/object_detection",

packages/frontend/package.json

@@ -1,7 +1,7 @@
 {
   "name": "frontend-app",
   "displayName": "UI for AI Lab",
-  "version": "1.7.0-next",
+  "version": "1.7.2",
   "type": "module",
   "license": "Apache-2.0",
   "scripts": {

tests/playwright/package.json

@@ -1,6 +1,6 @@
 {
   "name": "ai-lab-tests-playwright",
-  "version": "1.7.0-next",
+  "version": "1.7.2",
   "description": "Podman Desktop AI Lab extension Playwright E2E tests",
   "scripts": {
     "test:e2e": "xvfb-maybe --auto-servernum --server-args='-screen 0 1280x960x24' -- npx playwright test src/",