chore: improve locall env vars setup

fixes #8

Author: manekinekko

.devcontainer/devcontainer.json

@@ -2,16 +2,20 @@
   "image": "mcr.microsoft.com/vscode/devcontainers/typescript-node:dev-20-bullseye",
   "features": {
     "ghcr.io/devcontainers-contrib/features/turborepo-npm:1": {},
-    "ghcr.io/devcontainers-contrib/features/typescript:2": {},
-    "ghcr.io/devcontainers/features/python:1": {
-      "version": "3.11",
-      "toolsToInstall": [
-        "flake8",
-        "black",
-        "mypy",
-        "poetry"
-      ]
-    }
+    "ghcr.io/azure/azure-dev/azd:latest": {},
+    "ghcr.io/devcontainers/features/docker-in-docker:1": {
+      "version": "20.10.23",
+      "moby": "false",
+      "dockerDashComposeVersion": "v2"
+    },
+    "ghcr.io/devcontainers/features/azure-cli:1": {
+      "version": "latest",
+      "installBicep": true
+    },
+    "ghcr.io/devcontainers/features/github-cli:1": {
+      "version": "latest"
+    },
+    "ghcr.io/devcontainers-contrib/features/typescript:2": {}
   },
   "customizations": {
     "codespaces": {
@@ -23,24 +27,26 @@
       "extensions": [
         "ms-vscode.typescript-language-features",
         "esbenp.prettier-vscode",
-        "ms-python.python",
-        "ms-python.black-formatter",
-        "ms-python.vscode-flake8",
-        "ms-python.vscode-pylance"
-      ],
-      "settings": {
-        "python.formatting.provider": "black",
-        "python.languageServer": "Pylance",
-        "python.analysis.typeCheckingMode": "basic"
-      }
+        "ms-azuretools.vscode-bicep",
+        "ms-azuretools.vscode-azurecontainerapps",
+        "ms-azuretools.vscode-docker",
+        "dbaeumer.vscode-eslint",
+        "esbenp.prettier-vscode",
+        "ms-azuretools.azure-dev",
+        "GitHub.vscode-pull-request-github",
+        "EditorConfig.EditorConfig",
+        "GitHub.copilot"
+      ]
     }
   },
-  "containerEnv": {
-    "POETRY_VIRTUALENVS_CREATE": "false"
+  "portsAttributes": {
+    "3000": {
+      "label": "Next.js",
+      "onAutoForward": "notify"
+    }
   },
   "forwardPorts": [
-    3000,
-    8000
+    3000
   ],
   "postCreateCommand": "npm install"
 }

.env

@@ -26,7 +26,7 @@ yarn-error.log*
 
 # local env files
 .env*.local
-
+.env
 # vercel
 .vercel
 
@@ -35,4 +35,4 @@ yarn-error.log*
 next-env.d.ts
 
 tool-output/
-.azure
+.azure

.gitignore

@@ -16,12 +16,12 @@ export const initSettings = async () => {
   console.log(`Using '${process.env.MODEL_PROVIDER}' model provider`);
 
   // if provider is OpenAI, MODEL must be set
-  if (process.env.MODEL_PROVIDER === 'openai' && process.env.OPENAI_API_TYPE !== 'azure' && !process.env.MODEL) {
+  if (process.env.MODEL_PROVIDER === 'openai' && process.env.OPENAI_API_TYPE !== 'AzureOpenAI' && !process.env.MODEL) {
     throw new Error("'MODEL' env variable must be set.");
   }
 
   // if provider is Azure OpenAI, AZURE_DEPLOYMENT_NAME must be set
-  if (process.env.MODEL_PROVIDER === 'openai' && process.env.OPENAI_API_TYPE === 'azure' && !process.env.AZURE_DEPLOYMENT_NAME) {
+  if (process.env.MODEL_PROVIDER === 'openai' && process.env.OPENAI_API_TYPE === 'AzureOpenAI' && !process.env.AZURE_DEPLOYMENT_NAME) {
     throw new Error("'AZURE_DEPLOYMENT_NAME' env variables must be set.");
   }
 
@@ -34,7 +34,7 @@ export const initSettings = async () => {
       initOllama();
       break;
     case "openai":
-      if (process.env.OPENAI_API_TYPE === "azure") {
+      if (process.env.OPENAI_API_TYPE === "AzureOpenAI") {
         await initAzureOpenAI();
       } else {
         initOpenAI();

app/api/chat/engine/settings.ts

@@ -16,3 +16,11 @@ services:
             continueOnError: false
             interactive: false
             run: npm run generate
+hooks:
+  postprovision:
+    windows:
+      shell: pwsh
+      run: azd env get-values > .env
+    posix:
+      shell: sh
+      run: azd env get-values > .env

azure.yaml

@@ -262,3 +262,4 @@ output LLM_MAX_TOKENS string = llamaIndexConfig.llm_max_tokens
 output TOP_K string = llamaIndexConfig.top_k
 output FILESERVER_URL_PREFIX string = llamaIndexConfig.fileserver_url_prefix
 output SYSTEM_PROMPT string = llamaIndexConfig.system_prompt
+output OPENAI_API_TYPE string = 'AzureOpenAI'