Create an ingest job

import { Agentset } from "agentset";

const agentset = new Agentset({ apiKey: 'agentset_xxx' });
const ns = agentset.namespace('ns_xxx');

const job = await ns.ingestion.create({
  payload: {
    type: "TEXT",
    text: "This is some content to ingest into the knowledge base.",
  },
  config: {
    metadata: {
      foo: "bar",
    },
    chunkSize: 2048,
  },
});
console.log(job);

from agentset import Agentset


with Agentset(
    namespace_id="ns_123",
    x_tenant_id="<id>",
    token="AGENTSET_API_KEY",
) as a_client:

    res = a_client.ingest_jobs.create(payload={
        "type": "TEXT",
        "text": "<value>",
    })

    # Handle response
    print(res)

curl --request POST \
  --url https://api.agentset.ai/v1/namespace/{namespaceId}/ingest-jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "payload": {
    "type": "TEXT",
    "text": "<string>",
    "fileName": "<string>"
  },
  "name": "<string>",
  "config": {
    "chunkSize": 4503599627370512,
    "delimiter": "<string>",
    "metadata": {},
    "disableImageExtraction": true,
    "disableImageCaptions": true,
    "chartUnderstanding": true,
    "keepPageheaderInOutput": true,
    "keepPagefooterInOutput": true,
    "forceOcr": true,
    "disableOcrMath": true,
    "useLlm": true,
    "chunkOverlap": 123,
    "maxChunkSize": 123
  },
  "externalId": "<string>"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    payload: {type: 'TEXT', text: '<string>', fileName: '<string>'},
    name: '<string>',
    config: {
      chunkSize: 4503599627370512,
      delimiter: '<string>',
      metadata: {},
      disableImageExtraction: true,
      disableImageCaptions: true,
      chartUnderstanding: true,
      keepPageheaderInOutput: true,
      keepPagefooterInOutput: true,
      forceOcr: true,
      disableOcrMath: true,
      useLlm: true,
      chunkOverlap: 123,
      maxChunkSize: 123
    },
    externalId: '<string>'
  })
};

fetch('https://api.agentset.ai/v1/namespace/{namespaceId}/ingest-jobs', 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.agentset.ai/v1/namespace/{namespaceId}/ingest-jobs",
  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([
    'payload' => [
        'type' => 'TEXT',
        'text' => '<string>',
        'fileName' => '<string>'
    ],
    'name' => '<string>',
    'config' => [
        'chunkSize' => 4503599627370512,
        'delimiter' => '<string>',
        'metadata' => [
                
        ],
        'disableImageExtraction' => true,
        'disableImageCaptions' => true,
        'chartUnderstanding' => true,
        'keepPageheaderInOutput' => true,
        'keepPagefooterInOutput' => true,
        'forceOcr' => true,
        'disableOcrMath' => true,
        'useLlm' => true,
        'chunkOverlap' => 123,
        'maxChunkSize' => 123
    ],
    'externalId' => '<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.agentset.ai/v1/namespace/{namespaceId}/ingest-jobs"

	payload := strings.NewReader("{\n  \"payload\": {\n    \"type\": \"TEXT\",\n    \"text\": \"<string>\",\n    \"fileName\": \"<string>\"\n  },\n  \"name\": \"<string>\",\n  \"config\": {\n    \"chunkSize\": 4503599627370512,\n    \"delimiter\": \"<string>\",\n    \"metadata\": {},\n    \"disableImageExtraction\": true,\n    \"disableImageCaptions\": true,\n    \"chartUnderstanding\": true,\n    \"keepPageheaderInOutput\": true,\n    \"keepPagefooterInOutput\": true,\n    \"forceOcr\": true,\n    \"disableOcrMath\": true,\n    \"useLlm\": true,\n    \"chunkOverlap\": 123,\n    \"maxChunkSize\": 123\n  },\n  \"externalId\": \"<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.agentset.ai/v1/namespace/{namespaceId}/ingest-jobs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"payload\": {\n    \"type\": \"TEXT\",\n    \"text\": \"<string>\",\n    \"fileName\": \"<string>\"\n  },\n  \"name\": \"<string>\",\n  \"config\": {\n    \"chunkSize\": 4503599627370512,\n    \"delimiter\": \"<string>\",\n    \"metadata\": {},\n    \"disableImageExtraction\": true,\n    \"disableImageCaptions\": true,\n    \"chartUnderstanding\": true,\n    \"keepPageheaderInOutput\": true,\n    \"keepPagefooterInOutput\": true,\n    \"forceOcr\": true,\n    \"disableOcrMath\": true,\n    \"useLlm\": true,\n    \"chunkOverlap\": 123,\n    \"maxChunkSize\": 123\n  },\n  \"externalId\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.agentset.ai/v1/namespace/{namespaceId}/ingest-jobs")

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  \"payload\": {\n    \"type\": \"TEXT\",\n    \"text\": \"<string>\",\n    \"fileName\": \"<string>\"\n  },\n  \"name\": \"<string>\",\n  \"config\": {\n    \"chunkSize\": 4503599627370512,\n    \"delimiter\": \"<string>\",\n    \"metadata\": {},\n    \"disableImageExtraction\": true,\n    \"disableImageCaptions\": true,\n    \"chartUnderstanding\": true,\n    \"keepPageheaderInOutput\": true,\n    \"keepPagefooterInOutput\": true,\n    \"forceOcr\": true,\n    \"disableOcrMath\": true,\n    \"useLlm\": true,\n    \"chunkOverlap\": 123,\n    \"maxChunkSize\": 123\n  },\n  \"externalId\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "data": {
    "id": "<string>",
    "namespaceId": "<string>",
    "tenantId": "<string>",
    "externalId": "<string>",
    "status": "BACKLOG",
    "error": "<string>",
    "payload": {
      "type": "TEXT",
      "text": "<string>",
      "fileName": "<string>"
    },
    "config": {
      "chunkSize": 4503599627370512,
      "delimiter": "<string>",
      "metadata": {},
      "languageCode": "af",
      "mode": "fast",
      "disableImageExtraction": true,
      "disableImageCaptions": true,
      "chartUnderstanding": true,
      "keepPageheaderInOutput": true,
      "keepPagefooterInOutput": true,
      "forceOcr": true,
      "disableOcrMath": true,
      "useLlm": true,
      "chunkOverlap": 123,
      "maxChunkSize": 123,
      "chunkingStrategy": "basic",
      "strategy": "auto"
    },
    "createdAt": "<string>",
    "queuedAt": "<string>",
    "preProcessingAt": "<string>",
    "processingAt": "<string>",
    "completedAt": "<string>",
    "failedAt": "<string>",
    "name": "<string>"
  }
}

{
  "success": false,
  "error": {
    "code": "bad_request",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#bad-request"
  }
}

{
  "success": false,
  "error": {
    "code": "unauthorized",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#unauthorized"
  }
}

{
  "success": false,
  "error": {
    "code": "forbidden",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#forbidden"
  }
}

{
  "success": false,
  "error": {
    "code": "not_found",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#not-found"
  }
}

{
  "success": false,
  "error": {
    "code": "conflict",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#conflict"
  }
}

{
  "success": false,
  "error": {
    "code": "invite_expired",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#invite-expired"
  }
}

{
  "success": false,
  "error": {
    "code": "unprocessable_entity",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#unprocessable-entity"
  }
}

{
  "success": false,
  "error": {
    "code": "rate_limit_exceeded",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#rate-limit_exceeded"
  }
}

{
  "success": false,
  "error": {
    "code": "internal_server_error",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#internal-server_error"
  }
}