So far no luck with gemini-pro in 2024.1.0. I tried removing and re-configuring the integration. Do I need a new API key? Unsure what I’m doing wrong.
The PRs haven’t been merged yet. Hopefully they will make it in the next monthly release.
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@tronikos Can we pull your repo from git via HACS to get your fixes early?
Also I’m guessing @User87 wants function calling like the OpenAI conversation agent to control and send commands. That would be amazing to not have to pay for credits on OpenAI.
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You can but it’s much easier to wait. It will be included in the 2024.2 release.
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You mean 2024.2 of course 
One question though - Gemini Pro is not directly available in my country yet. Would it be possible to use Vertex AI API with Gemini Pro as a model instead - described here: https://ai.google.dev/examples?hl=en&keywords=vertexai
Yes I meant 2024.2. Fixed.
I don’t think it will work with Vertex AI API without significant changes that I don’t plan on making them.
It’s a pity, because the direct version does not work almost anywhere in Europe and Vertex AI version would work.
Is it working now in Europe? According to Google Bard update: Image generation and Gemini Pro adds more languages it’s supposed to be globally available since February 1.
I have the service working perfect in dev tools/services. i cant figure out how to store the response to something i can use? Any chance you could provide an example?
Here is a script that takes a text prompt, camera to take a snapshot, and media player to play back the response:
alias: Gemini Pro Vision
fields:
prompt:
selector:
text:
multiline: true
name: prompt
media_player:
selector:
entity:
filter:
- domain: media_player
name: media player
camera:
selector:
entity:
filter:
- domain: camera
name: camera
sequence:
- service: camera.snapshot
data:
entity_id: "{{ camera }}"
filename: /media/snapshot.jpg
- service: google_generative_ai_conversation.generate_content
data:
prompt: "{{ prompt }}"
image_filename: /media/snapshot.jpg
response_variable: content
- service: tts.speak
target:
entity_id: tts.piper
data:
media_player_entity_id: {{ media_player }}
message: "{{ content.text }}"
cache: false
- variables:
content: "{{ content }}"
- stop: end
response_variable: content
mode: single
icon: mdi:message-image
No, it does not work, at least the API version - still getting an error for the location of the user.
yea, also I can’t use the nest api as an image_filename: either. I don’t totally understand response_variable: or blueprints either. I think what you provided is a blueprint? This is what I came up with as I believe I am also going to have to store the thumbnail in a response_variable: ?
- id: 'c12'
alias: Doorbell Camera Snapshot Notification
trigger:
platform: device
device_id: feb17d26775a5xxxxxxxxxxxxxxxxx
domain: nest
type: camera_person
action:
- service_template: >-
{%- if is_state('input_boolean.home', 'off') or
not is_state('device_tracker.iphone', 'home') and
is_state('sensor.ipad_ssid', 'wirelessfun') -%}
notify.mobile_app_iphone
{% else %}
notify.ios
{% endif %}
data:
message: Person Detected at the Front Door.
data:
image: >-
/api/nest/event_media/{{ trigger.event.data.device_id }}/{{ trigger.event.data.nest_event_id }}/thumbnail
response_variable: thumbnail
- service: google_generative_ai_conversation.generate_content
data:
prompt: "Very briefly describe what you see in this image from my doorbell camera. Your message needs to be short enough to fit in a phone notification. Do not describe stationary objects or buildings."
image_filename: {{ thumbnail}}
response_variable: content
- service: tts.speak
target:
entity_id: tts.piper
data:
media_player_entity_id: media_player.google_mini
message: "{{ content.text }}"
cache: false
- variables:
content: "{{ content}}"
- stop: end
response_variable: content
mode: queued
@tronikos I have no idea, how you coded the integration, but I wonder, if it would be possible to specify the endpoint for the integration manually? It seems, european endpoint blocks the integration at the moment, but US one should work: python - Google Generative AI API error: "User location is not supported for the API use." - Stack Overflow
I am having the same problem…
There’s both a language AND country list there. Even though one’s language may be on the list of supported languages, not all regions are supported. I’m Dutch and thus live in The Netherlands. Dutch is supported, but th region Netherlands is not 
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I’ve looked around, but I’m finding trouble getting tips on configuring the prompt template:
This smart home is controlled by Home Assistant.
An overview of the areas and the devices in this smart home:
{%- for area in areas() %}
{%- set area_info = namespace(printed=false) %}
{%- for device in area_devices(area) -%}
{%- if not device_attr(device, "disabled_by") and not device_attr(device, "entry_type") and device_attr(device, "name") %}
{%- if not area_info.printed %}
{{ area_name(area) }}:
{%- set area_info.printed = true %}
{%- endif %}
- {{ device_attr(device, "name") }}{% if device_attr(device, "model") and (device_attr(device, "model") | string) not in (device_attr(device, "name") | string) %} ({{ device_attr(device, "model") }}){% endif %}
{%- endif %}
{%- endfor %}
{%- endfor %}
Answer the user's questions about the world truthfully.
If the user wants to control a device, reject the request and suggest using the Home Assistant app.
What is the syntax for supplying the integration with more than one area, entity, device, device_attr? If someone would be willing to share an example of their template, that would help me lots!
TIA
I’ve used this very successfully to send informative, time-saving notifications. The next big thing would be to be able to use the responses as conditiones.
One example would be to disarm the alarm system when no cars are in the garage, and arm it when at least one car arrives.
Has anyone figured out this part?
You may need to create a helper to store the garage car count. I wouldn’t be terribly surprised if you would be able to count the number of cars with frigate alone - not using Gemini. If you did want to use Gemini, then you would run the automation with a time frequency trigger and store it as a helper value for use as a condition of another automation.
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Erro:Error generating content: 404 Gemini 1.0 Pro Vision has been deprecated on July 12, 2024. Consider switching to different model, for example gemini-1.5-flash.
IM Getting this error, someone can help me?
I don’t know if you solved this, but according to this, we have upgrade (HA Core, I think):