community(doc_loaders): allow any credential type in AzureAIDocumentI… (#29289)

allow any credential type in AzureAIDocumentInteligence, not only
`api_key`.
This allows to use any of the credentials types integrated with AD.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>

libs/community/langchain_community/document_loaders/doc_intelligence.py

@@ -1,4 +1,6 @@
-from typing import Iterator, List, Optional
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Iterator, List, Optional
 
 from langchain_core.documents import Document
 
@@ -8,6 +10,9 @@ from langchain_community.document_loaders.parsers import (
     AzureAIDocumentIntelligenceParser,
 )
 
+if TYPE_CHECKING:
+    from azure.core.credentials import TokenCredential
+
 
 class AzureAIDocumentIntelligenceLoader(BaseLoader):
     """Load a PDF with Azure Document Intelligence."""
@@ -15,7 +20,7 @@ class AzureAIDocumentIntelligenceLoader(BaseLoader):
     def __init__(
         self,
         api_endpoint: str,
-        api_key: str,
+        api_key: Optional[str] = None,
         file_path: Optional[str] = None,
         url_path: Optional[str] = None,
         bytes_source: Optional[bytes] = None,
@@ -24,6 +29,7 @@ class AzureAIDocumentIntelligenceLoader(BaseLoader):
         mode: str = "markdown",
         *,
         analysis_features: Optional[List[str]] = None,
+        azure_credential: Optional["TokenCredential"] = None,
     ) -> None:
         """
         Initialize the object for file processing with Azure Document Intelligence
@@ -63,6 +69,9 @@ class AzureAIDocumentIntelligenceLoader(BaseLoader):
             List of optional analysis features, each feature should be passed
             as a str that conforms to the enum `DocumentAnalysisFeature` in
             `azure-ai-documentintelligence` package. Default value is None.
+        azure_credential: Optional[TokenCredential]
+            The credentials to use for DocumentIntelligenceClient construction, when
+            using credentials other than api_key (like AD).
 
         Examples:
         ---------
@@ -79,6 +88,15 @@ class AzureAIDocumentIntelligenceLoader(BaseLoader):
         assert (
             file_path is not None or url_path is not None or bytes_source is not None
         ), "file_path, url_path or bytes_source must be provided"
+
+        assert (
+            api_key is not None or azure_credential is not None
+        ), "Either api_key or azure_credential must be provided."
+
+        assert (
+            api_key is None or azure_credential is None
+        ), "Only one of api_key or azure_credential should be provided."
+
         self.file_path = file_path
         self.url_path = url_path
         self.bytes_source = bytes_source
@@ -90,6 +108,7 @@ class AzureAIDocumentIntelligenceLoader(BaseLoader):
             api_model=api_model,
             mode=mode,
             analysis_features=analysis_features,
+            azure_credential=azure_credential,
         )
 
     def lazy_load(

libs/community/langchain_community/document_loaders/parsers/doc_intelligence.py

@@ -1,11 +1,16 @@
+from __future__ import annotations
+
 import logging
-from typing import Any, Iterator, List, Optional
+from typing import TYPE_CHECKING, Any, Iterator, List, Optional
 
 from langchain_core.documents import Document
 
 from langchain_community.document_loaders.base import BaseBlobParser
 from langchain_community.document_loaders.blob_loaders import Blob
 
+if TYPE_CHECKING:
+    from azure.core.credentials import TokenCredential
+
 logger = logging.getLogger(__name__)
 
 
@@ -16,17 +21,27 @@ class AzureAIDocumentIntelligenceParser(BaseBlobParser):
     def __init__(
         self,
         api_endpoint: str,
-        api_key: str,
+        api_key: Optional[str] = None,
         api_version: Optional[str] = None,
         api_model: str = "prebuilt-layout",
         mode: str = "markdown",
         analysis_features: Optional[List[str]] = None,
+        azure_credential: Optional["TokenCredential"] = None,
     ):
         from azure.ai.documentintelligence import DocumentIntelligenceClient
         from azure.ai.documentintelligence.models import DocumentAnalysisFeature
         from azure.core.credentials import AzureKeyCredential
 
         kwargs = {}
+
+        if api_key is None and azure_credential is None:
+            raise ValueError("Either api_key or azure_credential must be provided.")
+
+        if api_key and azure_credential:
+            raise ValueError(
+                "Only one of api_key or azure_credential should be provided."
+            )
+
         if api_version is not None:
             kwargs["api_version"] = api_version
 
@@ -49,7 +64,7 @@ class AzureAIDocumentIntelligenceParser(BaseBlobParser):
 
         self.client = DocumentIntelligenceClient(
             endpoint=api_endpoint,
-            credential=AzureKeyCredential(api_key),
+            credential=azure_credential or AzureKeyCredential(api_key),
             headers={"x-ms-useragent": "langchain-parser/1.0.0"},
             features=analysis_features,
             **kwargs,