with Azure OpenAI and Fireflies?
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Locates a specific user meeting by its unique ID. See the documentation
Classify items into specific categories. See the documentation
Retrieves the most recent meeting for a user. See the documentation
Creates an image given a prompt, and returns a URL to the image. See the documentation
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,
})
},
})
The Fireflies API allows you to harness the power of AI to record, transcribe, and search across your voice conversations. With Pipedream, you can create automated workflows that leverage these capabilities to streamline communication, enhance collaboration, and ensure important insights from meetings are captured and actionable. By integrating with other apps, you can trigger actions, sync data, and build an array of powerful automations around your Fireflies data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fireflies: {
type: "app",
app: "fireflies",
}
},
async run({steps, $}) {
const data = {
"query": `{ user { user_id email } }`,
}
return await axios($, {
method: "POST",
url: `https://api.fireflies.ai/graphql`,
headers: {
Authorization: `Bearer ${this.fireflies.$auth.api_key}`,
},
data,
})
},
})