add Initialize app step

.github/workflows/push-image.yml

@@ -92,8 +92,11 @@ jobs:
         # The ENV_FILE_CONTENTS contains API keys, like LITERAL_API_KEY and OPENAI_API_KEY
         # As such, make sure the built image is not publicly accessible
         cd ${{ inputs.dockerfile_folder }}
-        echo "${{ secrets[env.SECRET_NAME] }}" > .env
-        wc .env
+        # TODO: Remove conditional once "Initialize app" step works
+        if [ "${{ inputs.dockerfile_folder }}" != "05-assistive-chatbot" ]; then
+          echo "${{ secrets[env.SECRET_NAME] }}" > .env
+          wc .env
+        fi
 
     - name: "Build image: ${{ github.sha }}"
       if: inputs.build_image
@@ -173,4 +176,15 @@ jobs:
         sleep 10
         ./.github/workflows/waitForLightsail.sh deployment
 
+
+    - name: "Initialize app"
+      if: inputs.deploy_image
+      run: |
+        # The ENV_FILE_CONTENTS contains API keys, like LITERAL_API_KEY and OPENAI_API_KEY
+        # As such, make sure the built image is not publicly accessible
+        echo "${{ secrets[env.SECRET_NAME] }}" > .env
+
+        SVC_URL=$(aws lightsail get-container-services --service-name "$SERVICE_NAME" | jq -r '.containerServices[0].url')
+        curl -X POST "SVC_URL/initenvs" --data-binary '@.env'
+
         # TODO: warm up vector DB on startup

05-assistive-chatbot/chatbot/llms/groq_client.py

@@ -24,6 +24,7 @@ def __init__(self, model_name, settings):
         self.model_name = model_name
         self.settings = settings
         logger.info("Creating LLM client '%s' with %s", model_name, self.settings)
+        # TODO: remove temperature from settings
         self.client = Groq(**self.settings)
 
     def generate_reponse(self, message):