with Azure OpenAI and Bitquery?
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
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 Bitquery API offers deep insights into blockchain data across multiple chains. With it, you can extract transaction details, smart contract interactions, and wallet addresses' behavior. When paired with Pipedream, you can automate blockchain-related tasks, create triggers based on on-chain events, or integrate blockchain data into other applications or services. Analyzing trends, monitoring wallets, and real-time alerting for transactions become seamless with Bitquery on Pipedream.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bitquery: {
type: "app",
app: "bitquery",
}
},
async run({steps, $}) {
const data = {
"query": `{
EVM(network: eth) {
Blocks(limit: { count: 10 }) {
Block {
Number
Time
}
}
}
}`,
}
return await axios($, {
method: "post",
url: `https://streaming.bitquery.io/graphql`,
headers: {
Authorization: `Bearer ${this.bitquery.$auth.oauth_access_token}`,
},
data,
})
},
})