What do you want to automate
with Tolstoy and Azure OpenAI?
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Popular Ways to Connect Tolstoy with Azure OpenAI#
Popular Tolstoy and Azure OpenAI Actions#
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Classify items into specific categories. See the documentation
Creates an image given a prompt, and returns a URL to the image. See the documentation
Summarizes a text message with the GPT-35-Turbo and GPT-4 models. See the documentation
Translate text from one language to another. See the documentation
Overview of Tolstoy#
The Tolstoy API offers a suite of tools for engaging with customers through interactive video experiences. With it, you can automate the creation, analysis, and management of interactive video content, streamlining how you engage with your audience. By leveraging the Tolstoy API on Pipedream, you can create powerful automations that react to video interactions, manage leads, and trigger personalized follow-ups based on viewer behavior. This supports a more dynamic and responsive marketing strategy, improves lead qualification processes, and enhances customer support by providing interactive video experiences tailored to user actions and feedback.
Connect Tolstoy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tolstoy: {
type: "app",
app: "tolstoy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gotolstoy.com/users/me`,
headers: {
Authorization: `Bearer ${this.tolstoy.$auth.api_key}`,
},
})
},
})
Overview of Azure OpenAI#
The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.
Connect Azure OpenAI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_openai_service: {
type: "app",
app: "azure_openai_service",
}
},
async run({steps, $}) {
const data = {
"messages": [{ role: 'user', content: "Hello, world!" }],
}
return await axios($, {
method: "post",
url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
headers: {
"Content-Type": `application/json`,
"api-key": `${this.azure_openai_service.$auth.api_key}`,
},
data,
})
},
})
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