Create App

curl -X POST \
  https://api.berri.ai/create_app \
  -H 'Content-Type: multipart/form-data' \
  -F template_id=9a5f0111-4e8b-428d-8fda-863773fe41cd \
  -F user_email=krrish@berri.ai \
  -F data_source=@/Users/krrishdholakia/Downloads/quizlet_wa_test_1.pdf

import requests

template_id = "9a5f0111-4e8b-428d-8fda-863773fe41cd"

url = "https://api.berri.ai/create_app"

data = {"template_id": template_id, "user_email": "krrish@berri.ai"}

files = {'data_source': open('quizlet_wa_test_1.pdf', 'rb')}

response = requests.post(url, files=files, data=data)

print(response.text)

api_endpoint = response.json()["api_endpoint"]

const request = require("request");

const template_id = "9a5f0111-4e8b-428d-8fda-863773fe41cd";

const url = "https://api.berri.ai/create_app";

const data = {
  template_id: template_id,
  user_email: "krrish@berri.ai",
};

const files = {
  data_source: fs.createReadStream("quizlet_wa_test_1.pdf"),
};

const response = request.post(
  { url: url, formData: { data, files } },
  function (err, httpResponse, body) {
    if (err) {
      return console.error("upload failed:", err);
    }
    console.log("Upload successful!  Server responded with:", body);
  }
);

const api_endpoint = JSON.parse(body)["api_endpoint"];

const request = require("request");
const fs = require("fs");

const options = {
  method: "POST",
  url: "https://api.berri.ai/create_app",
  headers: {
    "Content-Type": "multipart/form-data",
  },
  formData: {
    template_id: "9a5f0111-4e8b-428d-8fda-863773fe41cd",
    user_email: "krrish@berri.ai",
    data_source: {
      value: fs.createReadStream("quizlet_wa_test_1.pdf"),
      options: {
        filename: "quizlet_wa_test_1.pdf",
        contentType: "application/pdf",
      },
    },
  },
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

var formdata = new FormData();
formdata.append("data_source", props.fileContent);
formdata.append("user_email", props.email);
formdata.append("template_id", "12fc2341-a89d-4726-bc43-e5cbf634de32");
console.log(formdata);
var requestOptions = {
  method: "POST",
  body: formdata,
  redirect: "follow",
};
fetch(create_instance_endpoint, requestOptions)
  .then((response) => response.json())
  .then((result) => {
    console.log("Create app result");
    console.log(result);
    console.log(result["website_endpoint"]);
  })
  .catch((error) => {
    console.log("error", error);
  });

{
  "api_endpoint": "<string>",
  "website_endpoint": "<string>",
  "instance_id": "<string>",
  "plugin_yaml": "<string>",
  "plugin_manifest": "<string>"
}

POST

create_app

curl -X POST \
  https://api.berri.ai/create_app \
  -H 'Content-Type: multipart/form-data' \
  -F template_id=9a5f0111-4e8b-428d-8fda-863773fe41cd \
  -F user_email=krrish@berri.ai \
  -F data_source=@/Users/krrishdholakia/Downloads/quizlet_wa_test_1.pdf

import requests

template_id = "9a5f0111-4e8b-428d-8fda-863773fe41cd"

url = "https://api.berri.ai/create_app"

data = {"template_id": template_id, "user_email": "krrish@berri.ai"}

files = {'data_source': open('quizlet_wa_test_1.pdf', 'rb')}

response = requests.post(url, files=files, data=data)

print(response.text)

api_endpoint = response.json()["api_endpoint"]

const request = require("request");

const template_id = "9a5f0111-4e8b-428d-8fda-863773fe41cd";

const url = "https://api.berri.ai/create_app";

const data = {
  template_id: template_id,
  user_email: "krrish@berri.ai",
};

const files = {
  data_source: fs.createReadStream("quizlet_wa_test_1.pdf"),
};

const response = request.post(
  { url: url, formData: { data, files } },
  function (err, httpResponse, body) {
    if (err) {
      return console.error("upload failed:", err);
    }
    console.log("Upload successful!  Server responded with:", body);
  }
);

const api_endpoint = JSON.parse(body)["api_endpoint"];

const request = require("request");
const fs = require("fs");

const options = {
  method: "POST",
  url: "https://api.berri.ai/create_app",
  headers: {
    "Content-Type": "multipart/form-data",
  },
  formData: {
    template_id: "9a5f0111-4e8b-428d-8fda-863773fe41cd",
    user_email: "krrish@berri.ai",
    data_source: {
      value: fs.createReadStream("quizlet_wa_test_1.pdf"),
      options: {
        filename: "quizlet_wa_test_1.pdf",
        contentType: "application/pdf",
      },
    },
  },
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

var formdata = new FormData();
formdata.append("data_source", props.fileContent);
formdata.append("user_email", props.email);
formdata.append("template_id", "12fc2341-a89d-4726-bc43-e5cbf634de32");
console.log(formdata);
var requestOptions = {
  method: "POST",
  body: formdata,
  redirect: "follow",
};
fetch(create_instance_endpoint, requestOptions)
  .then((response) => response.json())
  .then((result) => {
    console.log("Create app result");
    console.log(result);
    console.log(result["website_endpoint"]);
  })
  .catch((error) => {
    console.log("error", error);
  });

{
  "api_endpoint": "<string>",
  "website_endpoint": "<string>",
  "instance_id": "<string>",
  "plugin_yaml": "<string>",
  "plugin_manifest": "<string>"
}

Here’s a link to a replit showing how to create an app: https://replit.com/@krrishdholakia/BerriAPIQuizlet?v=1

Query

string

Pass in your email, this will map the app you create to your account.

string

You can either send a single data source: a single file (.pdf, .zip, .pptx, .docx, .txt) or a website/API URL.

import requests

url = "https://api.berri.ai/create_app"

data = {"template_id": template_id, "user_email": "krrish@berri.ai"}

files = {'data_source': open('quizlet_wa_test_1.pdf', 'rb')}

response = requests.post(url, files=files, data=data)

Or multiple data sources: a list of strings or website URLs.

import requests
import json

tmp_list = ["hello world", "https://stripe.com/docs/india-accept-international-payments#TransactionPurposeCode"]

url = "https://api.berri.ai/create_app"
data = {"user_email": "krrish@berri.ai", "data_source": json.dumps(tmp_list)}
response = requests.post(url, data=data)
response.text

Additionally, you can also send in metadata for each data source.

import requests
import json

api_endpoint = "https://api.berri.ai/create_app"

data_source = [{"chunk": "hello", "chunk_metadata": "test_metadata"}, {"chunk": "hey there", "chunk_metadata": "test_metadata_2"}]

data = {
  "user_email": "krrish@berri.ai",
  "data_source": json.dumps(data_source)
}

response = requests.post(api_endpoint, data=data)

print(response.text)

string

The app configuration you sent to /create_template is now stored as a template. This is it’s unique id. Use it to automatically spin up chatGPT apps with that exact configuration.

string

Optional - use this to help specify how you want your output to be. This will override the prompt you set in your template if this field is set eg. You are an AI customer support bot for Substack blog posts

string

OpenAI Plugin Parameter Use this Parameter to set the name for your plugin ex. resume knowledge

string

OpenAI Plugin Parameter Use this Parameter to set a model description for your plugin ex. Plugin for querying data about Ishaan’s resume

Response

string

This will return an api endpoint which you can use to query your app.

string

This will return a website endpoint which you can use for quick prototyping.

string

This will return the instance_id, which you can specify when calling api.berri.ai/query

string

OpenAI Plugin Field: This is the auto created openapi.yaml file for your berri More info here: https://platform.openai.com/docs/plugins/examples

string

OpenAI Plugin Field: This is the auto created ai-plugin.json file for your berri More info here: https://platform.openai.com/docs/plugins/examples

curl -X POST \
  https://api.berri.ai/create_app \
  -H 'Content-Type: multipart/form-data' \
  -F template_id=9a5f0111-4e8b-428d-8fda-863773fe41cd \
  -F user_email=krrish@berri.ai \
  -F data_source=@/Users/krrishdholakia/Downloads/quizlet_wa_test_1.pdf

import requests

template_id = "9a5f0111-4e8b-428d-8fda-863773fe41cd"

url = "https://api.berri.ai/create_app"

data = {"template_id": template_id, "user_email": "krrish@berri.ai"}

files = {'data_source': open('quizlet_wa_test_1.pdf', 'rb')}

response = requests.post(url, files=files, data=data)

print(response.text)

api_endpoint = response.json()["api_endpoint"]

const request = require("request");

const template_id = "9a5f0111-4e8b-428d-8fda-863773fe41cd";

const url = "https://api.berri.ai/create_app";

const data = {
  template_id: template_id,
  user_email: "krrish@berri.ai",
};

const files = {
  data_source: fs.createReadStream("quizlet_wa_test_1.pdf"),
};

const response = request.post(
  { url: url, formData: { data, files } },
  function (err, httpResponse, body) {
    if (err) {
      return console.error("upload failed:", err);
    }
    console.log("Upload successful!  Server responded with:", body);
  }
);

const api_endpoint = JSON.parse(body)["api_endpoint"];

const request = require("request");
const fs = require("fs");

const options = {
  method: "POST",
  url: "https://api.berri.ai/create_app",
  headers: {
    "Content-Type": "multipart/form-data",
  },
  formData: {
    template_id: "9a5f0111-4e8b-428d-8fda-863773fe41cd",
    user_email: "krrish@berri.ai",
    data_source: {
      value: fs.createReadStream("quizlet_wa_test_1.pdf"),
      options: {
        filename: "quizlet_wa_test_1.pdf",
        contentType: "application/pdf",
      },
    },
  },
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

var formdata = new FormData();
formdata.append("data_source", props.fileContent);
formdata.append("user_email", props.email);
formdata.append("template_id", "12fc2341-a89d-4726-bc43-e5cbf634de32");
console.log(formdata);
var requestOptions = {
  method: "POST",
  body: formdata,
  redirect: "follow",
};
fetch(create_instance_endpoint, requestOptions)
  .then((response) => response.json())
  .then((result) => {
    console.log("Create app result");
    console.log(result);
    console.log(result["website_endpoint"]);
  })
  .catch((error) => {
    console.log("error", error);
  });

Create Template Query App

Endpoints

Tutorials

App Configuration

Additional Resources

Support & FAQs

Query

Response

​Query

​Response

Query

Response