Build ChatGPT Agents trained on custom data.
Emit new event when a new message from an agent is created.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Updates the agent to improve the accuracy of generated responses.
Chaindesk API offers a platform to create, deploy, and manage AI chatbots. It includes features such as natural language processing, integration capabilities, and a conversational interface to engage with users. Using Pipedream, you can leverage the Chaindesk API to build serverless workflows that trigger on various events and interact with other services to automate tasks, analyze conversations, and enhance user experiences.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chaindesk: {
type: "app",
app: "chaindesk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.chaindesk.ai/agents`,
headers: {
Authorization: `Bearer ${this.chaindesk.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}