What do you want to automate
with PandaDoc and Llama AI?
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Popular Ways to Connect PandaDoc with Llama AI#
Popular PandaDoc and Llama AI Triggers#
Emit new event when a document failed to be created. See the documentation here
Emit new event when a document is deleted. See the documentation here
Emit new event when a document's state is changed. See the documentation here
Emit new event when a document is updated. See the documentation here
Emit new event when a recipient completes a document. See the documentation here
Popular PandaDoc and Llama AI Actions#
Adds an attachment to a document. See the documentation here
Create a document from a file or public file URL. See the documentation here
Create a Document from a PandaDoc Template. See the documentation here
Create a new folder to store your documents. See the documentation here
Overview of PandaDoc#
The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.
Connect PandaDoc#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pandadoc: {
type: "app",
app: "pandadoc",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pandadoc.com/public/v1/members/current/`,
headers: {
Authorization: `Bearer ${this.pandadoc.$auth.oauth_access_token}`,
},
})
},
})
Overview of Llama AI#
The Llama AI API provides powerful machine learning capabilities, enabling users to harness advanced AI for image recognition, natural language processing, and predictive modeling. By leveraging this API on Pipedream, you can automate complex workflows that require AI-driven insights, enhancing data analysis and decision-making processes across various business applications.
Connect Llama AI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
llama_ai: {
type: "app",
app: "llama_ai",
}
},
async run({steps, $}) {
const data = {
"messages": [
{"role": "user", "content": "What is the weather like in Boston?"},
],
"functions": [
{
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"days": {
"type": "number",
"description": "for how many days ahead you wants the forecast",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
},
"required": ["location", "days"],
}
],
"stream": "false",
"function_call": "get_current_weather",
}
return await axios($, {
method: "post",
url: `https://api.llama-api.com/chat/completions`,
headers: {
Authorization: `Bearer ${this.llama_ai.$auth.api_token}`,
},
data,
})
},
})
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