Index Azure Container | Captain Docs

import requests
BASE_URL = "https://api.runcaptain.com"
API_KEY = "your_api_key"
headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}
response = requests.post(
    f"{BASE_URL}/v2/collections/my_documents/index/azure",
    headers=headers,
    json={
        "container_name": "my-azure-documents",
        "account_name": "mystorageaccount",
        "account_key": "base64encodedaccountkey==",
        "processing_type": "advanced"
    },
    timeout=60.0
)
if response.status_code in [200, 201]:
    data = response.json()
    print(f"Job started! ID: {data['job_id']}")
else:
    print(f"Error: {response.status_code}")

Index all files from an Azure Blob container into a collection.

Headers:

Authorization: Bearer {api_key} - Captain API key for authentication
X-Organization-ID: Organization UUID
Idempotency-Key: UUID for request deduplication (optional)

Args: collection_name: Name of the collection (path parameter) body: Azure Blob container configuration

Returns: { job_id, status: “pending” }

Index all files from an Azure Blob container into a collection. Headers: - Authorization: Bearer {api_key} - Captain API key for authentication - X-Organization-ID: Organization UUID - Idempotency-Key: UUID for request deduplication (optional) Args: collection_name: Name of the collection (path parameter) body: Azure Blob container configuration Returns: { job_id, status: "pending" }

Path parameters

collection_namestringRequired

Request

This endpoint expects an object.

account_keystringRequired

account_namestringRequired

container_namestringRequired

processing_typeenumRequired

Document processing type. ‘advanced’ uses agentic OCR with AI-enhanced extraction for complex layouts, tables, figures, charts, and documents containing images. ‘basic’ provides reliable OCR optimized for general document indexing and high-volume processing.

custom_metadatamap from strings to strings or integers or doubles or booleans or lists of strings or nullOptional

Custom metadata to attach to all indexed chunks. Keys must be strings. Values: str, int, float, bool, or List[str].

max_filesinteger or nullOptional

overwrite_existingbooleanOptionalDefaults to false

When true, files that already exist in the collection will be deleted and re-indexed with the latest changes. Requires skip_existing=false. Setting both to true returns a 400 error.

parsing_scriptstring or nullOptional

Relative path to a JS parsing script for JSON files (e.g. ‘research/paper-parser’). When provided, .json files are processed through a sandboxed V8 isolate. Without this, .json files are indexed as raw text.

skip_existingbooleanOptionalDefaults to true

When true, files already indexed in the collection are skipped and will not be re-indexed with incoming changes. When false, all incoming files are indexed regardless of whether they already exist.

mask_piibooleanOptionalDefaults to false

When true, detected PII (emails, phone numbers, SSNs, credit cards, names, and locations) is masked in the parsed content before it is embedded and stored — replaced with entity tags like <PERSON> and <EMAIL_ADDRESS>. For images (including images embedded in PDFs), PII text visible in the image is also pixel-redacted. Opt-in; defaults to false, which leaves content unchanged.

transcription_languagestring or nullOptional

AWS Transcribe language code for the spoken audio (e.g. ‘es-US’, ‘pt-BR’). Omit to auto-detect per file. Video and audio files only. Supported codes: https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html

Response

Successful Response

job_idstring

statusstringOptionalDefaults to pending

Errors

400

Bad Request Error

1	{
2	"job_id": "job_azure_abc123",
3	"status": "pending"
4	}