Add a document (file, URL, or text)
curl --request POST \
--url https://api.pyai.com/v1/knowledgebases/{id}/documents \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"url": "<string>",
"text": "<string>",
"title": "<string>"
}
'import requests
url = "https://api.pyai.com/v1/knowledgebases/{id}/documents"
payload = {
"url": "<string>",
"text": "<string>",
"title": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({url: '<string>', text: '<string>', title: '<string>'})
};
fetch('https://api.pyai.com/v1/knowledgebases/{id}/documents', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.pyai.com/v1/knowledgebases/{id}/documents",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'url' => '<string>',
'text' => '<string>',
'title' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.pyai.com/v1/knowledgebases/{id}/documents"
payload := strings.NewReader("{\n \"url\": \"<string>\",\n \"text\": \"<string>\",\n \"title\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.pyai.com/v1/knowledgebases/{id}/documents")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"url\": \"<string>\",\n \"text\": \"<string>\",\n \"title\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pyai.com/v1/knowledgebases/{id}/documents")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"url\": \"<string>\",\n \"text\": \"<string>\",\n \"title\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"kbId": "<string>",
"orgId": "<string>",
"source": "upload",
"uri": "<string>",
"title": "<string>",
"filename": "<string>",
"mime": "<string>",
"sizeBytes": 123,
"chunks": 123,
"status": "pending",
"error": "<string>",
"indexedAt": 123,
"createdAt": 123
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}Knowledge Bases
Add a document (file, URL, or text)
Three ways to add content: a multipart file upload (pdf, docx, xlsx, txt, md, csv, html, json; 25MB max), a JSON { "url" } to fetch and parse, or a JSON { "text" } to paste content directly. The document registers as pending and is chunked + embedded asynchronously; poll its status until indexed. Requires the kb:manage scope.
POST
/
v1
/
knowledgebases
/
{id}
/
documents
Add a document (file, URL, or text)
curl --request POST \
--url https://api.pyai.com/v1/knowledgebases/{id}/documents \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"url": "<string>",
"text": "<string>",
"title": "<string>"
}
'import requests
url = "https://api.pyai.com/v1/knowledgebases/{id}/documents"
payload = {
"url": "<string>",
"text": "<string>",
"title": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({url: '<string>', text: '<string>', title: '<string>'})
};
fetch('https://api.pyai.com/v1/knowledgebases/{id}/documents', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.pyai.com/v1/knowledgebases/{id}/documents",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'url' => '<string>',
'text' => '<string>',
'title' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.pyai.com/v1/knowledgebases/{id}/documents"
payload := strings.NewReader("{\n \"url\": \"<string>\",\n \"text\": \"<string>\",\n \"title\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.pyai.com/v1/knowledgebases/{id}/documents")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"url\": \"<string>\",\n \"text\": \"<string>\",\n \"title\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pyai.com/v1/knowledgebases/{id}/documents")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"url\": \"<string>\",\n \"text\": \"<string>\",\n \"title\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"kbId": "<string>",
"orgId": "<string>",
"source": "upload",
"uri": "<string>",
"title": "<string>",
"filename": "<string>",
"mime": "<string>",
"sizeBytes": 123,
"chunks": 123,
"status": "pending",
"error": "<string>",
"indexedAt": 123,
"createdAt": 123
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}Authorizations
apiKeyxApiKey
Use Authorization: Bearer pyai_live_... (or pyai_test_...).
Path Parameters
Response
Document registered (pending ingestion)
A knowledge base document and its ingestion state.
upload = file, url = fetched page, api = pasted text.
Available options:
upload, url, api Indexed chunk count (0 until indexed).
Available options:
pending, indexed, failed Human-readable failure/stall reason.
Unix ms.
Unix ms.