with Aircall and Azure OpenAI?
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
The Aircall API allows you to harness telephony features within your applications, enabling you to manage calls, contacts, users, and more programmatically. With Pipedream's capability to leverage this API, you can automate call logging, synchronize contact information across platforms, dynamically route calls based on business logic, and generate analytics and reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aircall: {
type: "app",
app: "aircall",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.aircall.io/v1/integrations/me`,
headers: {
Authorization: `Bearer ${this.aircall.$auth.oauth_access_token}`,
},
})
},
})
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.
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,
})
},
})