with Asana 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
Add a task to a specific, existing section. This will remove the task from other sections of the project. See the documentation
Summarizes a text message with the GPT-35-Turbo and GPT-4 models. See the documentation
The Asana API taps into the feature-rich project management platform, allowing you to automate tasks, sync data across apps, and enhance team collaboration. With the Asana API on Pipedream, you can create tasks, update project timelines, and trigger workflows from events within Asana—like new tasks or comments—streamlining your project management processes. Pipedream’s serverless platform empowers you to build complex workflows with minimal overhead, integrating Asana with numerous other services to maximize productivity and reduce manual workload.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
asana: {
type: "app",
app: "asana",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.asana.com/api/1.0/users/me`,
headers: {
Authorization: `Bearer ${this.asana.$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,
})
},
})