--- title: OpenAI Conversation description: Instructions on how to integrate OpenAI as a conversation agent ha_category: - Voice ha_release: 2023.2 ha_iot_class: Cloud Polling ha_config_flow: true ha_codeowners: - '@balloob' ha_domain: openai_conversation ha_integration_type: service ha_platforms: - conversation related: - docs: /voice_control/voice_remote_expose_devices/ title: Exposing entities to Assist - docs: /voice_control/assist_create_open_ai_personality/ title: Create an AI personality - url: https://platform.openai.com/account/api-keys title: OpenAI API key - url: https://www.openai.com title: OpenAI --- The OpenAI integration adds a conversation agent powered by [OpenAI](https://www.openai.com) in Home Assistant. Controlling Home Assistant is done by providing the AI access to the Assist API of Home Assistant. You can control what devices and entities it can access from the {% my voice_assistants title="exposed entities page" %}. The AI is able to provide you information about your devices and control them. This integration does not integrate with [sentence triggers](/docs/automation/trigger/#sentence-trigger). This integration requires an API key to use, [which you can generate here.](https://platform.openai.com/account/api-keys). This is a paid service, we advise you to monitor your costs in the [OpenAI portal](https://platform.openai.com/account) closely and configure [usage limits](https://platform.openai.com/account/billing/limits) to avoid unwanted costs associated with using the service. {% include integrations/config_flow.md %} ## Generate an API Key The OpenAI key is used to authenticate requests to the OpenAI API. To generate an API key take the following steps: - Log in to the [OpenAI portal](https://platform.openai.com/account) or sign up for an account. - Enable billing with a valid credit card - Configure [usage limits](https://platform.openai.com/account/billing/limits). - Visit the [API Keys page](https://platform.openai.com/account/api-keys) to retrieve the API key you'll use to configure the integration. {% include integrations/option_flow.md %} {% configuration_basic %} Instructions: description: Instructions for the AI on how it should respond to your requests. It is written using [Home Assistant Templating](/docs/configuration/templating/). Control Home Assistant: description: If the model is allowed to interact with Home Assistant. It can only control or provide information about entities that are [exposed](/voice_control/voice_remote_expose_devices/) to it. Recommended settings: description: If enabled, the recommended model and settings are chosen. {% endconfiguration_basic %} If you choose to not use the recommended settings, you can configure the following options: {% configuration_basic %} Model: description: The GPT language model is used for text generation. You can find more details on the available models in the [GPT-4o Documentation](https://platform.openai.com/docs/models/gpt-4o). The default is "gpt-4o-mini". Maximum Tokens to Return in Response: description: The maximum number of words or "tokens" that the AI model should generate in its completion of the prompt. For more information, see the [OpenAI Completion Documentation](https://platform.openai.com/docs/guides/completion/introduction). Temperature: description: A value that determines the level of creativity and risk-taking the model should use when generating text. A higher temperature means the model is more likely to generate unexpected results, while a lower temperature results in more deterministic results. See the [OpenAI Completion Documentation](https://platform.openai.com/docs/guides/completion/introduction) for more information. Top P: description: An alternative to temperature, top_p determines the proportion of the most likely word choices the model should consider when generating text. A higher top_p means the model will only consider the most likely words, while a lower top_p means a wider range of words, including less likely ones, will be considered. For more information, see the [OpenAI Completion API Reference](https://platform.openai.com/docs/api-reference/completions/create#completions/create-top_p). {% endconfiguration_basic %} ## Talking to Super Mario over the phone You can use an OpenAI Conversation integration to [talk to Super Mario and, if desired, have it control devices](/voice_control/assist_create_open_ai_personality/) in your home. ## Actions ### Action `openai_conversation.generate_image` Allows you to ask OpenAI to generate an image based on a prompt. This action populates [Response Data](/docs/scripts/perform-actions#use-templates-to-handle-response-data) with the requested image. | Data attribute | Optional | Description | Example | | ---------------------- | -------- | ------------------------------------------------------ | ---------------- | | `config_entry` | no | Integration entry ID to use. | | | `prompt` | no | The text to turn into an image. | Picture of a dog | | `size` | yes | Size of the returned image in pixels. Must be one of `1024x1024`, `1792x1024`, or `1024x1792`, defaults to `1024x1024`. | 1024x1024 | | `quality` | yes | The quality of the image that will be generated. `hd` creates images with finer details and greater consistency across the image. | standard | | `style` | yes | The style of the generated images. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. | vivid | {% raw %} ```yaml action: openai_conversation.generate_image data: config_entry: abce6b8696a15e107b4bd843de722249 prompt: "Cute picture of a dog chasing a herd of cats" size: 1024x1024 quality: standard style: vivid response_variable: generated_image ``` {% endraw %} The response data field `url` will contain a URL to the generated image and `revised_prompt` will contain the updated prompt used. #### Example using a generated image entity The following example shows an automation that generates an image and displays it in a image template entity. The prompt uses the state of the weather entity to generate a new image of New York in the current weather state. The resulting image entity can be used in, for example, a card on your dashboard. The *config_entry* is installation specific. To get the value, make sure the integration has been installed. Then, go to {% my developer_services title="**Developer Tools** > **Actions**" %}. Ensure you are in UI mode and enter the following below: ![Open AI Conversation UI Mode](/images/integrations/openai_conversation/openai_developer_tools_ui.png) Select **YAML Mode** to reveal the *config_entry* value to be used in the below example automation. ![Open AI Conversation YAML Mode](/images/integrations/openai_conversation/openai_developer_tools_yaml.png) {% raw %} ```yaml automation: - alias: "Update image when weather changes" triggers: - trigger: state entity_id: weather.home actions: - alias: "Ask OpenAI to generate an image" action: openai_conversation.generate_image response_variable: generated_image data: config_entry: abce6b8696a15e107b4bd843de722249 size: "1024x1024" prompt: >- New York when the weather is {{ states("weather.home") }} - alias: "Send out a manual event to update the image entity" event: new_weather_image event_data: url: '{{ generated_image.url }}' template: - trigger: - alias: "Update image when a new weather image is generated" trigger: event event_type: new_weather_image image: - name: "AI generated image of New York" url: "{{ trigger.event.data.url }}" ``` {% endraw %}