chore: update dependencies and improve scripts

- Updated genaiscript dependency from 1.142.12 to 2.3.10 in package.json.
- Added "private" and "version" fields in package.json.
- Modified the "upgrade" script to include a fix step after updating dependencies.
- Replaced the "lint" step with "typecheck" in release.sh for better build validation.
- Added a shebang and error handling in release.sh.
- Created a new Dockerfile for devcontainer setup, ensuring it stays in sync with the main Dockerfile.
- Added .nvmrc file to specify Node.js version as lts/*.

Author: pelikhan

.devcontainer/Dockerfile

@@ -0,0 +1,5 @@
+# Keep this Dockerfile in sync with the main Dockerfile
+FROM node:lts-alpine
+
+# Install packages
+RUN apk add --no-cache git github-cli ffmpeg curl

.devcontainer/devcontainer.json

@@ -1,19 +1,29 @@
 {
-    "image": "mcr.microsoft.com/devcontainers/javascript-node:22",
-    "customizations": {
-        "vscode": {
-            "extensions": [
-                "github.copilot-chat",
-                "github.vscode-pull-request-github",
-                "github.vscode-github-actions"
+  "name": "GenAIScript GitHub Action Dev Container",
+  "build": {
+    "dockerfile": "Dockerfile"
+  },
+  "features": {},
+  "customizations": {
+    "vscode": {
+      "settings": {
+        "terminal.integrated.defaultProfile.linux": "ash",
+        "terminal.integrated.profiles.linux": {
+          "ash": {
+            "path": "/bin/ash",
+            "args": [
+              "-l"
             ]
+          }
         }
-    },
-    "features": {
-        "ghcr.io/devcontainers/features/common-utils:2": {},
-        "ghcr.io/devcontainers/features/git:1": {},
-        "ghcr.io/devcontainers/features/docker-in-docker:2": {},
-        "ghcr.io/devcontainers-extra/features/ffmpeg-apt-get:1": {},
-        "ghcr.io/ghcr.io/devcontainers/features/github-cli:1": {}
+      },
+      "extensions": [
+        "GitHub.vscode-github-actions",
+        "esbenp.prettier-vscode",
+        "GitHub.copilot-chat",
+        "genaiscript.genaiscript-vscode"
+      ]
     }
-}
+  },
+  "postCreateCommand": "git config --global --add safe.directory \"$(pwd)\" && npm ci"
+}

.github/workflows/ci.yml

@@ -15,6 +15,9 @@ permissions:
   contents: read
   issues: write
   models: read
+concurrency:
+    group: ${{ github.workflow }}-${{ github.ref }}
+    cancel-in-progress: true
 jobs:
   test:
     runs-on: ubuntu-latest
@@ -44,6 +47,12 @@ jobs:
           --health-start-period 20s
     steps:
       - uses: actions/checkout@v4
+      - uses: actions/cache@v4
+        with:
+          path: .genaiscript/cache/**
+          key: genaiscript-${{ github.run_id }}
+          restore-keys: |
+            genaiscript-
       - uses: ./
         with:
           github_issue: 1

.nvmrc

@@ -0,0 +1 @@
+lts/*

Dockerfile

@@ -3,7 +3,7 @@ FROM node:lts-alpine
 
 
 # Install packages
-RUN apk add --no-cache git ffmpeg curl
+RUN apk add --no-cache git github-cli ffmpeg curl
 
 # check
 RUN node --version

README.md

@@ -5,10 +5,30 @@ The default behavior is to summarize and extract task items but this can be cust
 
 ## Inputs
 
-- `github_token`: GitHub token with `models: read` permission at least. **(required)**
-- `instructions`: Custom prompt to use for the LLM model. If not provided, a default prompt will be used.
-- `github_issue`: The issue number to analyze. Typically this variable is inferred from the event context.
-- `debug`: Enable debug logging.
+|name|description|required|default|
+|----|-----------|--------|-------|
+| `instructions` | Custom prompting instructions for each video. | false | Analyze the video and provide a summary of its content. Extract list of followup subissues if any. The transcript is your primary source of text information, ignore text in images. |
+| `debug` | Enable debug logging (https://microsoft.github.io/genaiscript/reference/scripts/logging/). | false |  |
+| `model_alias` | A YAML-like list of model aliases and model id: `translation: github:openai/gpt-4o` | false |  |
+| `openai_api_key` | OpenAI API key | false |  |
+| `openai_api_base` | OpenAI API base URL | false |  |
+| `azure_openai_api_endpoint` | Azure OpenAI endpoint. In the Azure Portal, open your Azure OpenAI resource, Keys and Endpoints, copy Endpoint. | false |  |
+| `azure_openai_api_key` | Azure OpenAI API key. **You do NOT need this if you are using Microsoft Entra ID. | false |  |
+| `azure_openai_subscription_id` | Azure OpenAI subscription ID to list available deployments (Microsoft Entra only). | false |  |
+| `azure_openai_api_version` | Azure OpenAI API version. | false |  |
+| `azure_openai_api_credentials` | Azure OpenAI API credentials type. Leave as 'default' unless you have a special Azure setup. | false |  |
+| `azure_ai_inference_api_key` | Azure AI Inference key | false |  |
+| `azure_ai_inference_api_endpoint` | Azure Serverless OpenAI endpoint | false |  |
+| `azure_ai_inference_api_version` | Azure Serverless OpenAI API version | false |  |
+| `azure_ai_inference_api_credentials` | Azure Serverless OpenAI API credentials type | false |  |
+| `github_token` | GitHub token with `models: read` permission at least (https://microsoft.github.io/genaiscript/reference/github-actions/#github-models-permissions). | false |  |
+
+## Outputs
+
+|name|description|
+|----|-----------|
+
+| `text` | The generated text output. |
 
 ## Usage
 
@@ -73,19 +93,25 @@ jobs:
           --health-start-period 20s
     steps:
       - uses: actions/checkout@v4
-      - uses: pelikhan/action-genai-video-issue-analyzer@v0
+      - uses: actions/cache@v4
+        with:
+          path: .genaiscript/cache/**
+          key: genaiscript-${{ github.run_id }}
+          restore-keys: |
+            genaiscript-
+      - uses: pelikhan/action-genai-video-issue-analyzer@v0 # update to the major version you want to use
         with:
           github_token: ${{ secrets.GITHUB_TOKEN }}
 ```
 
 ## Development
 
-This action was automatically generated by GenAIScript from the script metadata.
+This action was automatically generated by [GenAIScript](https://microsoft.github.io/genaiscript/reference/github-actions) from the script metadata.
 We recommend updating the script metadata instead of editing the action files directly.
 
 - the action inputs are inferred from the script parameters
 - the action outputs are inferred from the script output schema
-- the action description is the script title
+- the action description is the script description
 - the readme description is the script description
 - the action branding is the script branding
 
@@ -116,22 +142,18 @@ To run the action locally in Docker (build it first), use:
 npm run docker:start
 ```
 
-To run the action using [act](https://nektosact.com/), first install the act CLI:
-
-```bash
-npm run act:install
-```
+## Upgrade
 
-Then, you can run the action with:
+The GenAIScript version is pinned in the `package.json` file. To upgrade it, run:
 
 ```bash
-npm run act
+npm run upgrade
 ```
 
-## Upgrade
+## Release
 
-The GenAIScript version is pinned in the `package.json` file. To upgrade it, run:
+To release a new version of this action, run the release script on a clean working directory.
 
 ```bash
-npm run upgrade
+npm run release
 ```

action.yml

@@ -1,4 +1,4 @@
-name: action-genai-video-issue-analyzer
+name: Action-Genai-Video-Issue-Analyzer
 description: Analyzes videos upload as assets
 inputs:
   instructions:
@@ -7,23 +7,59 @@ inputs:
     default: Analyze the video and provide a summary of its content. Extract list of
       followup subissues if any. The transcript is your primary source of text
       information, ignore text in images.
+  debug:
+    description: Enable debug logging
+      (https://microsoft.github.io/genaiscript/reference/scripts/logging/).
+    required: false
+  model_alias:
+    description: "A YAML-like list of model aliases and model id: `translation:
+      github:openai/gpt-4o`"
+    required: false
+  openai_api_key:
+    description: OpenAI API key
+    required: false
+  openai_api_base:
+    description: OpenAI API base URL
+    required: false
+  azure_openai_api_endpoint:
+    description: Azure OpenAI endpoint. In the Azure Portal, open your Azure OpenAI
+      resource, Keys and Endpoints, copy Endpoint.
+    required: false
+  azure_openai_api_key:
+    description: Azure OpenAI API key. **You do NOT need this if you are using
+      Microsoft Entra ID.
+    required: false
+  azure_openai_subscription_id:
+    description: Azure OpenAI subscription ID to list available deployments
+      (Microsoft Entra only).
+    required: false
+  azure_openai_api_version:
+    description: Azure OpenAI API version.
+    required: false
+  azure_openai_api_credentials:
+    description: Azure OpenAI API credentials type. Leave as 'default' unless you
+      have a special Azure setup.
+    required: false
+  azure_ai_inference_api_key:
+    description: Azure AI Inference key
+    required: false
+  azure_ai_inference_api_endpoint:
+    description: Azure Serverless OpenAI endpoint
+    required: false
+  azure_ai_inference_api_version:
+    description: Azure Serverless OpenAI API version
+    required: false
+  azure_ai_inference_api_credentials:
+    description: Azure Serverless OpenAI API credentials type
+    required: false
   github_token:
     description: "GitHub token with `models: read` permission at least
       (https://microsoft.github.io/genaiscript/reference/github-actions/#github\
       -models-permissions)."
-    required: true
-  github_issue:
-    description: "GitHub issue number to comment on
-      (https://microsoft.github.io/genaiscript/reference/github-actions/#github-issue-number).
-      The action will comment on the issue with the generated text output."
-    required: true
-  debug:
-    description: Enable debug logging
-      (https://microsoft.github.io/genaiscript/reference/scripts/logging/).
     required: false
-runs:
-  using: docker
-  image: Dockerfile
 outputs:
   text:
     description: The generated text output.
+runs:
+  using: docker
+  image: Dockerfile