diff --git a/lib/crewai-tools/pyproject.toml b/lib/crewai-tools/pyproject.toml
index 672b604c2..bbb241186 100644
--- a/lib/crewai-tools/pyproject.toml
+++ b/lib/crewai-tools/pyproject.toml
@@ -12,13 +12,13 @@ dependencies = [
     "pytube>=15.0.0",
     "requests>=2.32.5",
     "docker>=7.1.0",
-    "crewai==1.6.0",
+    "crewai==1.6.1",
     "lancedb>=0.5.4",
     "tiktoken>=0.8.0",
     "beautifulsoup4>=4.13.4",
-    "pypdf>=5.9.0",
     "python-docx>=1.2.0",
     "youtube-transcript-api>=1.2.2",
+    "pymupdf>=1.26.6",
 ]
 
 
diff --git a/lib/crewai-tools/src/crewai_tools/__init__.py b/lib/crewai-tools/src/crewai_tools/__init__.py
index d7b819e31..df6990573 100644
--- a/lib/crewai-tools/src/crewai_tools/__init__.py
+++ b/lib/crewai-tools/src/crewai_tools/__init__.py
@@ -291,4 +291,4 @@ __all__ = [
     "ZapierActionTools",
 ]
 
-__version__ = "1.6.0"
+__version__ = "1.6.1"
diff --git a/lib/crewai-tools/src/crewai_tools/adapters/crewai_rag_adapter.py b/lib/crewai-tools/src/crewai_tools/adapters/crewai_rag_adapter.py
index fb0a22791..b89212de2 100644
--- a/lib/crewai-tools/src/crewai_tools/adapters/crewai_rag_adapter.py
+++ b/lib/crewai-tools/src/crewai_tools/adapters/crewai_rag_adapter.py
@@ -3,8 +3,7 @@
 from __future__ import annotations
 
 import hashlib
-from pathlib import Path
-from typing import TYPE_CHECKING, Any, TypeAlias, TypedDict, cast
+from typing import TYPE_CHECKING, Any, cast
 import uuid
 
 from crewai.rag.config.types import RagConfigType
@@ -19,15 +18,13 @@ from typing_extensions import TypeIs, Unpack
 from crewai_tools.rag.data_types import DataType
 from crewai_tools.rag.misc import sanitize_metadata_for_chromadb
 from crewai_tools.tools.rag.rag_tool import Adapter
+from crewai_tools.tools.rag.types import AddDocumentParams, ContentItem
 
 
 if TYPE_CHECKING:
     from crewai.rag.qdrant.config import QdrantConfig
 
 
-ContentItem: TypeAlias = str | Path | dict[str, Any]
-
-
 def _is_qdrant_config(config: Any) -> TypeIs[QdrantConfig]:
     """Check if config is a QdrantConfig using safe duck typing.
 
@@ -46,19 +43,6 @@ def _is_qdrant_config(config: Any) -> TypeIs[QdrantConfig]:
         return False
 
 
-class AddDocumentParams(TypedDict, total=False):
-    """Parameters for adding documents to the RAG system."""
-
-    data_type: DataType
-    metadata: dict[str, Any]
-    website: str
-    url: str
-    file_path: str | Path
-    github_url: str
-    youtube_url: str
-    directory_path: str | Path
-
-
 class CrewAIRagAdapter(Adapter):
     """Adapter that uses CrewAI's native RAG system.
 
@@ -131,13 +115,26 @@ class CrewAIRagAdapter(Adapter):
     def add(self, *args: ContentItem, **kwargs: Unpack[AddDocumentParams]) -> None:
         """Add content to the knowledge base.
 
-        This method handles various input types and converts them to documents
-        for the vector database. It supports the data_type parameter for
-        compatibility with existing tools.
-
         Args:
             *args: Content items to add (strings, paths, or document dicts)
-            **kwargs: Additional parameters including data_type, metadata, etc.
+            **kwargs: Additional parameters including:
+                - data_type: DataType enum or string (e.g., "file", "pdf_file", "text")
+                - path: Path to file or directory (alternative to positional arg)
+                - file_path: Alias for path
+                - metadata: Additional metadata to attach to documents
+                - url: URL to fetch content from
+                - website: Website URL to scrape
+                - github_url: GitHub repository URL
+                - youtube_url: YouTube video URL
+                - directory_path: Path to directory
+
+        Examples:
+            rag_tool.add("path/to/document.pdf", data_type=DataType.PDF_FILE)
+
+            rag_tool.add(path="path/to/document.pdf", data_type="file")
+            rag_tool.add(file_path="path/to/document.pdf", data_type="pdf_file")
+
+            rag_tool.add("path/to/document.pdf")  # auto-detects PDF
         """
         import os
 
@@ -146,10 +143,54 @@ class CrewAIRagAdapter(Adapter):
         from crewai_tools.rag.source_content import SourceContent
 
         documents: list[BaseRecord] = []
-        data_type: DataType | None = kwargs.get("data_type")
+        raw_data_type = kwargs.get("data_type")
         base_metadata: dict[str, Any] = kwargs.get("metadata", {})
 
-        for arg in args:
+        data_type: DataType | None = None
+        if raw_data_type is not None:
+            if isinstance(raw_data_type, DataType):
+                if raw_data_type != DataType.FILE:
+                    data_type = raw_data_type
+            elif isinstance(raw_data_type, str):
+                if raw_data_type != "file":
+                    try:
+                        data_type = DataType(raw_data_type)
+                    except ValueError:
+                        raise ValueError(
+                            f"Invalid data_type: '{raw_data_type}'. "
+                            f"Valid values are: 'file' (auto-detect), or one of: "
+                            f"{', '.join(dt.value for dt in DataType)}"
+                        ) from None
+
+        content_items: list[ContentItem] = list(args)
+
+        path_value = kwargs.get("path") or kwargs.get("file_path")
+        if path_value is not None:
+            content_items.append(path_value)
+
+        if url := kwargs.get("url"):
+            content_items.append(url)
+        if website := kwargs.get("website"):
+            content_items.append(website)
+        if github_url := kwargs.get("github_url"):
+            content_items.append(github_url)
+        if youtube_url := kwargs.get("youtube_url"):
+            content_items.append(youtube_url)
+        if directory_path := kwargs.get("directory_path"):
+            content_items.append(directory_path)
+
+        file_extensions = {
+            ".pdf",
+            ".txt",
+            ".csv",
+            ".json",
+            ".xml",
+            ".docx",
+            ".mdx",
+            ".md",
+        }
+
+        for arg in content_items:
             source_ref: str
             if isinstance(arg, dict):
                 source_ref = str(arg.get("source", arg.get("content", "")))
@@ -157,6 +198,14 @@ class CrewAIRagAdapter(Adapter):
                 source_ref = str(arg)
 
             if not data_type:
+                ext = os.path.splitext(source_ref)[1].lower()
+                is_url = source_ref.startswith(("http://", "https://", "file://"))
+                if (
+                    ext in file_extensions
+                    and not is_url
+                    and not os.path.isfile(source_ref)
+                ):
+                    raise FileNotFoundError(f"File does not exist: {source_ref}")
                 data_type = DataTypes.from_content(source_ref)
 
             if data_type == DataType.DIRECTORY:
diff --git a/lib/crewai-tools/src/crewai_tools/rag/data_types.py b/lib/crewai-tools/src/crewai_tools/rag/data_types.py
index 3e9cf724b..09d519ce9 100644
--- a/lib/crewai-tools/src/crewai_tools/rag/data_types.py
+++ b/lib/crewai-tools/src/crewai_tools/rag/data_types.py
@@ -1,6 +1,8 @@
 from enum import Enum
+from importlib import import_module
 import os
 from pathlib import Path
+from typing import cast
 from urllib.parse import urlparse
 
 from crewai_tools.rag.base_loader import BaseLoader
@@ -8,6 +10,7 @@ from crewai_tools.rag.chunkers.base_chunker import BaseChunker
 
 
 class DataType(str, Enum):
+    FILE = "file"
     PDF_FILE = "pdf_file"
     TEXT_FILE = "text_file"
     CSV = "csv"
@@ -15,22 +18,14 @@ class DataType(str, Enum):
     XML = "xml"
     DOCX = "docx"
     MDX = "mdx"
-
-    # Database types
     MYSQL = "mysql"
     POSTGRES = "postgres"
-
-    # Repository types
     GITHUB = "github"
     DIRECTORY = "directory"
-
-    # Web types
     WEBSITE = "website"
     DOCS_SITE = "docs_site"
     YOUTUBE_VIDEO = "youtube_video"
     YOUTUBE_CHANNEL = "youtube_channel"
-
-    # Raw types
     TEXT = "text"
 
     def get_chunker(self) -> BaseChunker:
@@ -63,13 +58,11 @@ class DataType(str, Enum):
 
         try:
             module = import_module(module_path)
-            return getattr(module, class_name)()
+            return cast(BaseChunker, getattr(module, class_name)())
         except Exception as e:
             raise ValueError(f"Error loading chunker for {self}: {e}") from e
 
     def get_loader(self) -> BaseLoader:
-        from importlib import import_module
-
         loaders = {
             DataType.PDF_FILE: ("pdf_loader", "PDFLoader"),
             DataType.TEXT_FILE: ("text_loader", "TextFileLoader"),
@@ -98,7 +91,7 @@ class DataType(str, Enum):
         module_path = f"crewai_tools.rag.loaders.{module_name}"
         try:
             module = import_module(module_path)
-            return getattr(module, class_name)()
+            return cast(BaseLoader, getattr(module, class_name)())
         except Exception as e:
             raise ValueError(f"Error loading loader for {self}: {e}") from e
 
diff --git a/lib/crewai-tools/src/crewai_tools/rag/loaders/pdf_loader.py b/lib/crewai-tools/src/crewai_tools/rag/loaders/pdf_loader.py
index 7e7f0f8e3..743e30785 100644
--- a/lib/crewai-tools/src/crewai_tools/rag/loaders/pdf_loader.py
+++ b/lib/crewai-tools/src/crewai_tools/rag/loaders/pdf_loader.py
@@ -2,70 +2,112 @@
 
 import os
 from pathlib import Path
-from typing import Any
+from typing import Any, cast
+from urllib.parse import urlparse
+import urllib.request
 
 from crewai_tools.rag.base_loader import BaseLoader, LoaderResult
 from crewai_tools.rag.source_content import SourceContent
 
 
 class PDFLoader(BaseLoader):
-    """Loader for PDF files."""
+    """Loader for PDF files and URLs."""
 
-    def load(self, source: SourceContent, **kwargs) -> LoaderResult:  # type: ignore[override]
-        """Load and extract text from a PDF file.
+    @staticmethod
+    def _is_url(path: str) -> bool:
+        """Check if the path is a URL."""
+        try:
+            parsed = urlparse(path)
+            return parsed.scheme in ("http", "https")
+        except Exception:
+            return False
+
+    @staticmethod
+    def _download_pdf(url: str) -> bytes:
+        """Download PDF content from a URL.
 
         Args:
-            source: The source content containing the PDF file path
+            url: The URL to download from.
 
         Returns:
-            LoaderResult with extracted text content
+            The PDF content as bytes.
 
         Raises:
-            FileNotFoundError: If the PDF file doesn't exist
-            ImportError: If required PDF libraries aren't installed
+            ValueError: If the download fails.
+        """
+
+        try:
+            with urllib.request.urlopen(url, timeout=30) as response:  # noqa: S310
+                return cast(bytes, response.read())
+        except Exception as e:
+            raise ValueError(f"Failed to download PDF from {url}: {e!s}") from e
+
+    def load(self, source: SourceContent, **kwargs: Any) -> LoaderResult:  # type: ignore[override]
+        """Load and extract text from a PDF file or URL.
+
+        Args:
+            source: The source content containing the PDF file path or URL.
+
+        Returns:
+            LoaderResult with extracted text content.
+
+        Raises:
+            FileNotFoundError: If the PDF file doesn't exist.
+            ImportError: If required PDF libraries aren't installed.
+            ValueError: If the PDF cannot be read or downloaded.
         """
         try:
-            import pypdf
-        except ImportError:
-            try:
-                import PyPDF2 as pypdf  # type: ignore[import-not-found,no-redef]  # noqa: N813
-            except ImportError as e:
-                raise ImportError(
-                    "PDF support requires pypdf or PyPDF2. Install with: uv add pypdf"
-                ) from e
+            import pymupdf  # type: ignore[import-untyped]
+        except ImportError as e:
+            raise ImportError(
+                "PDF support requires pymupdf. Install with: uv add pymupdf"
+            ) from e
 
         file_path = source.source
+        is_url = self._is_url(file_path)
 
-        if not os.path.isfile(file_path):
-            raise FileNotFoundError(f"PDF file not found: {file_path}")
+        if is_url:
+            source_name = Path(urlparse(file_path).path).name or "downloaded.pdf"
+        else:
+            source_name = Path(file_path).name
 
-        text_content = []
+        text_content: list[str] = []
         metadata: dict[str, Any] = {
-            "source": str(file_path),
-            "file_name": Path(file_path).name,
+            "source": file_path,
+            "file_name": source_name,
             "file_type": "pdf",
         }
 
         try:
-            with open(file_path, "rb") as file:
-                pdf_reader = pypdf.PdfReader(file)
-                metadata["num_pages"] = len(pdf_reader.pages)
+            if is_url:
+                pdf_bytes = self._download_pdf(file_path)
+                doc = pymupdf.open(stream=pdf_bytes, filetype="pdf")
+            else:
+                if not os.path.isfile(file_path):
+                    raise FileNotFoundError(f"PDF file not found: {file_path}")
+                doc = pymupdf.open(file_path)
 
-                for page_num, page in enumerate(pdf_reader.pages, 1):
-                    page_text = page.extract_text()
-                    if page_text.strip():
-                        text_content.append(f"Page {page_num}:\n{page_text}")
+            metadata["num_pages"] = len(doc)
+
+            for page_num, page in enumerate(doc, 1):
+                page_text = page.get_text()
+                if page_text.strip():
+                    text_content.append(f"Page {page_num}:\n{page_text}")
+
+            doc.close()
+        except FileNotFoundError:
+            raise
         except Exception as e:
-            raise ValueError(f"Error reading PDF file {file_path}: {e!s}") from e
+            raise ValueError(f"Error reading PDF from {file_path}: {e!s}") from e
 
         if not text_content:
-            content = f"[PDF file with no extractable text: {Path(file_path).name}]"
+            content = f"[PDF file with no extractable text: {source_name}]"
         else:
             content = "\n\n".join(text_content)
 
         return LoaderResult(
             content=content,
-            source=str(file_path),
+            source=file_path,
             metadata=metadata,
-            doc_id=self.generate_doc_id(source_ref=str(file_path), content=content),
+            doc_id=self.generate_doc_id(source_ref=file_path, content=content),
         )
diff --git a/lib/crewai-tools/src/crewai_tools/tools/rag/rag_tool.py b/lib/crewai-tools/src/crewai_tools/tools/rag/rag_tool.py
index 549a01062..52fc903e9 100644
--- a/lib/crewai-tools/src/crewai_tools/tools/rag/rag_tool.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/rag/rag_tool.py
@@ -14,9 +14,14 @@ from pydantic import (
     field_validator,
     model_validator,
 )
-from typing_extensions import Self
+from typing_extensions import Self, Unpack
 
-from crewai_tools.tools.rag.types import RagToolConfig, VectorDbConfig
+from crewai_tools.tools.rag.types import (
+    AddDocumentParams,
+    ContentItem,
+    RagToolConfig,
+    VectorDbConfig,
+)
 
 
 def _validate_embedding_config(
@@ -72,6 +77,8 @@ def _validate_embedding_config(
 
 
 class Adapter(BaseModel, ABC):
+    """Abstract base class for RAG adapters."""
+
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
     @abstractmethod
@@ -86,8 +93,8 @@ class Adapter(BaseModel, ABC):
     @abstractmethod
     def add(
         self,
-        *args: Any,
-        **kwargs: Any,
+        *args: ContentItem,
+        **kwargs: Unpack[AddDocumentParams],
     ) -> None:
         """Add content to the knowledge base."""
 
@@ -102,7 +109,11 @@ class RagTool(BaseTool):
         ) -> str:
             raise NotImplementedError
 
-        def add(self, *args: Any, **kwargs: Any) -> None:
+        def add(
+            self,
+            *args: ContentItem,
+            **kwargs: Unpack[AddDocumentParams],
+        ) -> None:
             raise NotImplementedError
 
     name: str = "Knowledge base"
@@ -207,9 +218,34 @@ class RagTool(BaseTool):
 
     def add(
         self,
-        *args: Any,
-        **kwargs: Any,
+        *args: ContentItem,
+        **kwargs: Unpack[AddDocumentParams],
     ) -> None:
+        """Add content to the knowledge base.
+
+
+        Args:
+            *args: Content items to add (strings, paths, or document dicts)
+            data_type: DataType enum or string (e.g., "file", "pdf_file", "text")
+            path: Path to file or directory, alias to positional arg
+            file_path: Alias for path
+            metadata: Additional metadata to attach to documents
+            url: URL to fetch content from
+            website: Website URL to scrape
+            github_url: GitHub repository URL
+            youtube_url: YouTube video URL
+            directory_path: Path to directory
+
+        Examples:
+            rag_tool.add("path/to/document.pdf", data_type=DataType.PDF_FILE)
+
+            # Keyword argument (documented API)
+            rag_tool.add(path="path/to/document.pdf", data_type="file")
+            rag_tool.add(file_path="path/to/document.pdf", data_type="pdf_file")
+
+            # Auto-detect type from extension
+            rag_tool.add("path/to/document.pdf")  # auto-detects PDF
+        """
         self.adapter.add(*args, **kwargs)
 
     def _run(
diff --git a/lib/crewai-tools/src/crewai_tools/tools/rag/types.py b/lib/crewai-tools/src/crewai_tools/tools/rag/types.py
index 1077c7b9b..606f86401 100644
--- a/lib/crewai-tools/src/crewai_tools/tools/rag/types.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/rag/types.py
@@ -1,10 +1,50 @@
 """Type definitions for RAG tool configuration."""
 
-from typing import Any, Literal
+from pathlib import Path
+from typing import Any, Literal, TypeAlias
 
 from crewai.rag.embeddings.types import ProviderSpec
 from typing_extensions import TypedDict
 
+from crewai_tools.rag.data_types import DataType
+
+
+DataTypeStr: TypeAlias = Literal[
+    "file",
+    "pdf_file",
+    "text_file",
+    "csv",
+    "json",
+    "xml",
+    "docx",
+    "mdx",
+    "mysql",
+    "postgres",
+    "github",
+    "directory",
+    "website",
+    "docs_site",
+    "youtube_video",
+    "youtube_channel",
+    "text",
+]
+
+ContentItem: TypeAlias = str | Path | dict[str, Any]
+
+
+class AddDocumentParams(TypedDict, total=False):
+    """Parameters for adding documents to the RAG system."""
+
+    data_type: DataType | DataTypeStr
+    metadata: dict[str, Any]
+    path: str | Path
+    file_path: str | Path
+    website: str
+    url: str
+    github_url: str
+    youtube_url: str
+    directory_path: str | Path
+
 
 class VectorDbConfig(TypedDict):
     """Configuration for vector database provider.
diff --git a/lib/crewai-tools/tests/tools/rag/test_rag_tool_add_data_type.py b/lib/crewai-tools/tests/tools/rag/test_rag_tool_add_data_type.py
new file mode 100644
index 000000000..853e6ab00
--- /dev/null
+++ b/lib/crewai-tools/tests/tools/rag/test_rag_tool_add_data_type.py
@@ -0,0 +1,471 @@
+"""Tests for RagTool.add() method with various data_type values."""
+
+from pathlib import Path
+from tempfile import TemporaryDirectory
+from unittest.mock import MagicMock, Mock, patch
+
+import pytest
+
+from crewai_tools.rag.data_types import DataType
+from crewai_tools.tools.rag.rag_tool import RagTool
+
+
+@pytest.fixture
+def mock_rag_client() -> MagicMock:
+    """Create a mock RAG client for testing."""
+    mock_client = MagicMock()
+    mock_client.get_or_create_collection = MagicMock(return_value=None)
+    mock_client.add_documents = MagicMock(return_value=None)
+    mock_client.search = MagicMock(return_value=[])
+    return mock_client
+
+
+@pytest.fixture
+def rag_tool(mock_rag_client: MagicMock) -> RagTool:
+    """Create a RagTool instance with mocked client."""
+    with (
+        patch(
+            "crewai_tools.adapters.crewai_rag_adapter.get_rag_client",
+            return_value=mock_rag_client,
+        ),
+        patch(
+            "crewai_tools.adapters.crewai_rag_adapter.create_client",
+            return_value=mock_rag_client,
+        ),
+    ):
+        return RagTool()
+
+
+class TestDataTypeFileAlias:
+    """Tests for data_type='file' alias."""
+
+    def test_file_alias_with_existing_file(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test that data_type='file' works with existing files."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("Test content for file alias.")
+
+            rag_tool.add(path=str(test_file), data_type="file")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_file_alias_with_nonexistent_file_raises_error(
+        self, rag_tool: RagTool
+    ) -> None:
+        """Test that data_type='file' raises FileNotFoundError for missing files."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent/path/to/file.pdf", data_type="file")
+
+    def test_file_alias_with_path_keyword(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test that path keyword argument works with data_type='file'."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "document.txt"
+            test_file.write_text("Content via path keyword.")
+
+            rag_tool.add(data_type="file", path=str(test_file))
+
+            assert mock_rag_client.add_documents.called
+
+    def test_file_alias_with_file_path_keyword(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test that file_path keyword argument works with data_type='file'."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "document.txt"
+            test_file.write_text("Content via file_path keyword.")
+
+            rag_tool.add(data_type="file", file_path=str(test_file))
+
+            assert mock_rag_client.add_documents.called
+
+
+class TestDataTypeStringValues:
+    """Tests for data_type as string values matching DataType enum."""
+
+    def test_pdf_file_string(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type='pdf_file' with existing PDF file."""
+        with TemporaryDirectory() as tmpdir:
+            # Create a minimal valid PDF file
+            test_file = Path(tmpdir) / "test.pdf"
+            test_file.write_bytes(
+                b"%PDF-1.4\n1 0 obj\n<<\n/Type /Catalog\n>>\nendobj\ntrailer\n"
+                b"<<\n/Root 1 0 R\n>>\n%%EOF"
+            )
+
+            # Mock the PDF loader to avoid actual PDF parsing
+            with patch(
+                "crewai_tools.adapters.crewai_rag_adapter.DataType.get_loader"
+            ) as mock_loader:
+                mock_loader_instance = MagicMock()
+                mock_loader_instance.load.return_value = MagicMock(
+                    content="PDF content", metadata={}, doc_id="test-id"
+                )
+                mock_loader.return_value = mock_loader_instance
+
+                rag_tool.add(path=str(test_file), data_type="pdf_file")
+
+                assert mock_rag_client.add_documents.called
+
+    def test_text_file_string(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type='text_file' with existing text file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("Plain text content.")
+
+            rag_tool.add(path=str(test_file), data_type="text_file")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_csv_string(self, rag_tool: RagTool, mock_rag_client: MagicMock) -> None:
+        """Test data_type='csv' with existing CSV file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.csv"
+            test_file.write_text("name,value\nfoo,1\nbar,2")
+
+            rag_tool.add(path=str(test_file), data_type="csv")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_json_string(self, rag_tool: RagTool, mock_rag_client: MagicMock) -> None:
+        """Test data_type='json' with existing JSON file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.json"
+            test_file.write_text('{"key": "value", "items": [1, 2, 3]}')
+
+            rag_tool.add(path=str(test_file), data_type="json")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_xml_string(self, rag_tool: RagTool, mock_rag_client: MagicMock) -> None:
+        """Test data_type='xml' with existing XML file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.xml"
+            test_file.write_text('<?xml version="1.0"?><root><item>value</item></root>')
+
+            rag_tool.add(path=str(test_file), data_type="xml")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_mdx_string(self, rag_tool: RagTool, mock_rag_client: MagicMock) -> None:
+        """Test data_type='mdx' with existing MDX file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.mdx"
+            test_file.write_text("# Heading\n\nSome markdown content.")
+
+            rag_tool.add(path=str(test_file), data_type="mdx")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_text_string(self, rag_tool: RagTool, mock_rag_client: MagicMock) -> None:
+        """Test data_type='text' with raw text content."""
+        rag_tool.add("This is raw text content.", data_type="text")
+
+        assert mock_rag_client.add_documents.called
+
+    def test_directory_string(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type='directory' with existing directory."""
+        with TemporaryDirectory() as tmpdir:
+            # Create some files in the directory
+            (Path(tmpdir) / "file1.txt").write_text("Content 1")
+            (Path(tmpdir) / "file2.txt").write_text("Content 2")
+
+            rag_tool.add(path=tmpdir, data_type="directory")
+
+            assert mock_rag_client.add_documents.called
+
+
+class TestDataTypeEnumValues:
+    """Tests for data_type as DataType enum values."""
+
+    def test_datatype_file_enum_with_existing_file(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type=DataType.FILE with existing file (auto-detect)."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("File enum auto-detect content.")
+
+            rag_tool.add(str(test_file), data_type=DataType.FILE)
+
+            assert mock_rag_client.add_documents.called
+
+    def test_datatype_file_enum_with_nonexistent_file_raises_error(
+        self, rag_tool: RagTool
+    ) -> None:
+        """Test data_type=DataType.FILE raises FileNotFoundError for missing files."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add("nonexistent/file.pdf", data_type=DataType.FILE)
+
+    def test_datatype_pdf_file_enum(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type=DataType.PDF_FILE with existing file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.pdf"
+            test_file.write_bytes(
+                b"%PDF-1.4\n1 0 obj\n<<\n/Type /Catalog\n>>\nendobj\ntrailer\n"
+                b"<<\n/Root 1 0 R\n>>\n%%EOF"
+            )
+
+            with patch(
+                "crewai_tools.adapters.crewai_rag_adapter.DataType.get_loader"
+            ) as mock_loader:
+                mock_loader_instance = MagicMock()
+                mock_loader_instance.load.return_value = MagicMock(
+                    content="PDF content", metadata={}, doc_id="test-id"
+                )
+                mock_loader.return_value = mock_loader_instance
+
+                rag_tool.add(str(test_file), data_type=DataType.PDF_FILE)
+
+                assert mock_rag_client.add_documents.called
+
+    def test_datatype_text_file_enum(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type=DataType.TEXT_FILE with existing file."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("Text file content.")
+
+            rag_tool.add(str(test_file), data_type=DataType.TEXT_FILE)
+
+            assert mock_rag_client.add_documents.called
+
+    def test_datatype_text_enum(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type=DataType.TEXT with raw text."""
+        rag_tool.add("Raw text using enum.", data_type=DataType.TEXT)
+
+        assert mock_rag_client.add_documents.called
+
+    def test_datatype_directory_enum(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test data_type=DataType.DIRECTORY with existing directory."""
+        with TemporaryDirectory() as tmpdir:
+            (Path(tmpdir) / "file.txt").write_text("Directory file content.")
+
+            rag_tool.add(tmpdir, data_type=DataType.DIRECTORY)
+
+            assert mock_rag_client.add_documents.called
+
+
+class TestInvalidDataType:
+    """Tests for invalid data_type values."""
+
+    def test_invalid_string_data_type_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that invalid string data_type raises ValueError."""
+        with pytest.raises(ValueError, match="Invalid data_type"):
+            rag_tool.add("some content", data_type="invalid_type")
+
+    def test_invalid_data_type_error_message_contains_valid_values(
+        self, rag_tool: RagTool
+    ) -> None:
+        """Test that error message lists valid data_type values."""
+        with pytest.raises(ValueError) as exc_info:
+            rag_tool.add("some content", data_type="not_a_type")
+
+        error_message = str(exc_info.value)
+        assert "file" in error_message
+        assert "pdf_file" in error_message
+        assert "text_file" in error_message
+
+
+class TestFileExistenceValidation:
+    """Tests for file existence validation."""
+
+    def test_pdf_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent PDF file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.pdf", data_type="pdf_file")
+
+    def test_text_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent text file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.txt", data_type="text_file")
+
+    def test_csv_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent CSV file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.csv", data_type="csv")
+
+    def test_json_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent JSON file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.json", data_type="json")
+
+    def test_xml_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent XML file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.xml", data_type="xml")
+
+    def test_docx_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent DOCX file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.docx", data_type="docx")
+
+    def test_mdx_file_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent MDX file raises FileNotFoundError."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add(path="nonexistent.mdx", data_type="mdx")
+
+    def test_directory_not_found_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that non-existent directory raises ValueError."""
+        with pytest.raises(ValueError, match="Directory does not exist"):
+            rag_tool.add(path="nonexistent/directory", data_type="directory")
+
+
+class TestKeywordArgumentVariants:
+    """Tests for different keyword argument combinations."""
+
+    def test_positional_argument_with_data_type(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test positional argument with data_type."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("Positional arg content.")
+
+            rag_tool.add(str(test_file), data_type="text_file")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_path_keyword_with_data_type(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test path keyword argument with data_type."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("Path keyword content.")
+
+            rag_tool.add(path=str(test_file), data_type="text_file")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_file_path_keyword_with_data_type(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test file_path keyword argument with data_type."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("File path keyword content.")
+
+            rag_tool.add(file_path=str(test_file), data_type="text_file")
+
+            assert mock_rag_client.add_documents.called
+
+    def test_directory_path_keyword(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test directory_path keyword argument."""
+        with TemporaryDirectory() as tmpdir:
+            (Path(tmpdir) / "file.txt").write_text("Directory content.")
+
+            rag_tool.add(directory_path=tmpdir)
+
+            assert mock_rag_client.add_documents.called
+
+
+class TestAutoDetection:
+    """Tests for auto-detection of data type from content."""
+
+    def test_auto_detect_nonexistent_file_raises_error(self, rag_tool: RagTool) -> None:
+        """Test that auto-detection raises FileNotFoundError for missing files."""
+        with pytest.raises(FileNotFoundError, match="File does not exist"):
+            rag_tool.add("path/to/document.pdf")
+
+    def test_auto_detect_txt_file(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test auto-detection of .txt file type."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "auto.txt"
+            test_file.write_text("Auto-detected text file.")
+
+            # No data_type specified - should auto-detect
+            rag_tool.add(str(test_file))
+
+            assert mock_rag_client.add_documents.called
+
+    def test_auto_detect_csv_file(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test auto-detection of .csv file type."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "auto.csv"
+            test_file.write_text("col1,col2\nval1,val2")
+
+            rag_tool.add(str(test_file))
+
+            assert mock_rag_client.add_documents.called
+
+    def test_auto_detect_json_file(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test auto-detection of .json file type."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "auto.json"
+            test_file.write_text('{"auto": "detected"}')
+
+            rag_tool.add(str(test_file))
+
+            assert mock_rag_client.add_documents.called
+
+    def test_auto_detect_directory(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test auto-detection of directory type."""
+        with TemporaryDirectory() as tmpdir:
+            (Path(tmpdir) / "file.txt").write_text("Auto-detected directory.")
+
+            rag_tool.add(tmpdir)
+
+            assert mock_rag_client.add_documents.called
+
+    def test_auto_detect_raw_text(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test auto-detection of raw text (non-file content)."""
+        rag_tool.add("Just some raw text content")
+
+        assert mock_rag_client.add_documents.called
+
+
+class TestMetadataHandling:
+    """Tests for metadata handling with data_type."""
+
+    def test_metadata_passed_to_documents(
+        self, rag_tool: RagTool, mock_rag_client: MagicMock
+    ) -> None:
+        """Test that metadata is properly passed to documents."""
+        with TemporaryDirectory() as tmpdir:
+            test_file = Path(tmpdir) / "test.txt"
+            test_file.write_text("Content with metadata.")
+
+            rag_tool.add(
+                path=str(test_file),
+                data_type="text_file",
+                metadata={"custom_key": "custom_value"},
+            )
+
+            assert mock_rag_client.add_documents.called
+            call_args = mock_rag_client.add_documents.call_args
+            documents = call_args.kwargs.get("documents", call_args.args[0] if call_args.args else [])
+
+            # Check that at least one document has the custom metadata
+            assert any(
+                doc.get("metadata", {}).get("custom_key") == "custom_value"
+                for doc in documents
+            )
\ No newline at end of file
diff --git a/lib/crewai/pyproject.toml b/lib/crewai/pyproject.toml
index 06e83227a..9c8b93592 100644
--- a/lib/crewai/pyproject.toml
+++ b/lib/crewai/pyproject.toml
@@ -48,7 +48,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
 
 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.6.0",
+    "crewai-tools==1.6.1",
 ]
 embeddings = [
     "tiktoken~=0.8.0"
diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py
index f961847fd..3e8487af3 100644
--- a/lib/crewai/src/crewai/__init__.py
+++ b/lib/crewai/src/crewai/__init__.py
@@ -40,7 +40,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
 
 _suppress_pydantic_deprecation_warnings()
 
-__version__ = "1.6.0"
+__version__ = "1.6.1"
 _telemetry_submitted = False
 
 
diff --git a/lib/crewai/src/crewai/cli/config.py b/lib/crewai/src/crewai/cli/config.py
index aec32bfd4..9f2d203f9 100644
--- a/lib/crewai/src/crewai/cli/config.py
+++ b/lib/crewai/src/crewai/cli/config.py
@@ -73,6 +73,7 @@ CLI_SETTINGS_KEYS = [
     "oauth2_audience",
     "oauth2_client_id",
     "oauth2_domain",
+    "oauth2_extra",
 ]
 
 # Default values for CLI settings
@@ -82,6 +83,7 @@ DEFAULT_CLI_SETTINGS = {
     "oauth2_audience": CREWAI_ENTERPRISE_DEFAULT_OAUTH2_AUDIENCE,
     "oauth2_client_id": CREWAI_ENTERPRISE_DEFAULT_OAUTH2_CLIENT_ID,
     "oauth2_domain": CREWAI_ENTERPRISE_DEFAULT_OAUTH2_DOMAIN,
+    "oauth2_extra": {},
 }
 
 # Readonly settings - cannot be set by the user
diff --git a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
index 5e2b10f88..246836627 100644
--- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.6.0"
+    "crewai[tools]==1.6.1"
 ]
 
 [project.scripts]
diff --git a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
index cb4607ddf..5425cc962 100644
--- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.6.0"
+    "crewai[tools]==1.6.1"
 ]
 
 [project.scripts]
diff --git a/lib/crewai/src/crewai/llm.py b/lib/crewai/src/crewai/llm.py
index 00d609f41..cc8bfefcd 100644
--- a/lib/crewai/src/crewai/llm.py
+++ b/lib/crewai/src/crewai/llm.py
@@ -406,46 +406,100 @@ class LLM(BaseLLM):
         instance.is_litellm = True
         return instance
 
+    @classmethod
+    def _matches_provider_pattern(cls, model: str, provider: str) -> bool:
+        """Check if a model name matches provider-specific patterns.
+
+        This allows supporting models that aren't in the hardcoded constants list,
+        including "latest" versions and new models that follow provider naming conventions.
+
+        Args:
+            model: The model name to check
+            provider: The provider to check against (canonical name)
+
+        Returns:
+            True if the model matches the provider's naming pattern, False otherwise
+        """
+        model_lower = model.lower()
+
+        if provider == "openai":
+            return any(
+                model_lower.startswith(prefix)
+                for prefix in ["gpt-", "o1", "o3", "o4", "whisper-"]
+            )
+
+        if provider == "anthropic" or provider == "claude":
+            return any(
+                model_lower.startswith(prefix) for prefix in ["claude-", "anthropic."]
+            )
+
+        if provider == "gemini" or provider == "google":
+            return any(
+                model_lower.startswith(prefix)
+                for prefix in ["gemini-", "gemma-", "learnlm-"]
+            )
+
+        if provider == "bedrock":
+            return "." in model_lower
+
+        if provider == "azure":
+            return any(
+                model_lower.startswith(prefix)
+                for prefix in ["gpt-", "gpt-35-", "o1", "o3", "o4", "azure-"]
+            )
+
+        return False
+
     @classmethod
     def _validate_model_in_constants(cls, model: str, provider: str) -> bool:
-        """Validate if a model name exists in the provider's constants.
+        """Validate if a model name exists in the provider's constants or matches provider patterns.
+
+        This method first checks the hardcoded constants list for known models.
+        If not found, it falls back to pattern matching to support new models,
+        "latest" versions, and models that follow provider naming conventions.
 
         Args:
             model: The model name to validate
             provider: The provider to check against (canonical name)
 
         Returns:
-            True if the model exists in the provider's constants, False otherwise
+            True if the model exists in constants or matches provider patterns, False otherwise
         """
-        if provider == "openai":
-            return model in OPENAI_MODELS
+        if provider == "openai" and model in OPENAI_MODELS:
+            return True
 
-        if provider == "anthropic" or provider == "claude":
-            return model in ANTHROPIC_MODELS
+        if (
+            provider == "anthropic" or provider == "claude"
+        ) and model in ANTHROPIC_MODELS:
+            return True
 
-        if provider == "gemini":
-            return model in GEMINI_MODELS
+        if (provider == "gemini" or provider == "google") and model in GEMINI_MODELS:
+            return True
 
-        if provider == "bedrock":
-            return model in BEDROCK_MODELS
+        if provider == "bedrock" and model in BEDROCK_MODELS:
+            return True
 
         if provider == "azure":
             # azure does not provide a list of available models, determine a better way to handle this
             return True
 
-        return False
+        # Fallback to pattern matching for models not in constants
+        return cls._matches_provider_pattern(model, provider)
 
     @classmethod
     def _infer_provider_from_model(cls, model: str) -> str:
         """Infer the provider from the model name.
 
+        This method first checks the hardcoded constants list for known models.
+        If not found, it uses pattern matching to infer the provider from model name patterns.
+        This allows supporting new models and "latest" versions without hardcoding.
+
         Args:
             model: The model name without provider prefix
 
         Returns:
             The inferred provider name, defaults to "openai"
         """
-
         if model in OPENAI_MODELS:
             return "openai"
 
@@ -1699,12 +1753,14 @@ class LLM(BaseLLM):
             max_tokens=self.max_tokens,
             presence_penalty=self.presence_penalty,
             frequency_penalty=self.frequency_penalty,
-            logit_bias=copy.deepcopy(self.logit_bias, memo)
-            if self.logit_bias
-            else None,
-            response_format=copy.deepcopy(self.response_format, memo)
-            if self.response_format
-            else None,
+            logit_bias=(
+                copy.deepcopy(self.logit_bias, memo) if self.logit_bias else None
+            ),
+            response_format=(
+                copy.deepcopy(self.response_format, memo)
+                if self.response_format
+                else None
+            ),
             seed=self.seed,
             logprobs=self.logprobs,
             top_logprobs=self.top_logprobs,
diff --git a/lib/crewai/src/crewai/llms/constants.py b/lib/crewai/src/crewai/llms/constants.py
index fc4656455..02a138297 100644
--- a/lib/crewai/src/crewai/llms/constants.py
+++ b/lib/crewai/src/crewai/llms/constants.py
@@ -182,6 +182,8 @@ OPENAI_MODELS: list[OpenAIModels] = [
 
 
 AnthropicModels: TypeAlias = Literal[
+    "claude-opus-4-5-20251101",
+    "claude-opus-4-5",
     "claude-3-7-sonnet-latest",
     "claude-3-7-sonnet-20250219",
     "claude-3-5-haiku-latest",
@@ -208,6 +210,8 @@ AnthropicModels: TypeAlias = Literal[
     "claude-3-haiku-20240307",
 ]
 ANTHROPIC_MODELS: list[AnthropicModels] = [
+    "claude-opus-4-5-20251101",
+    "claude-opus-4-5",
     "claude-3-7-sonnet-latest",
     "claude-3-7-sonnet-20250219",
     "claude-3-5-haiku-latest",
@@ -452,6 +456,7 @@ BedrockModels: TypeAlias = Literal[
     "anthropic.claude-3-sonnet-20240229-v1:0:28k",
     "anthropic.claude-haiku-4-5-20251001-v1:0",
     "anthropic.claude-instant-v1:2:100k",
+    "anthropic.claude-opus-4-5-20251101-v1:0",
     "anthropic.claude-opus-4-1-20250805-v1:0",
     "anthropic.claude-opus-4-20250514-v1:0",
     "anthropic.claude-sonnet-4-20250514-v1:0",
@@ -524,6 +529,7 @@ BEDROCK_MODELS: list[BedrockModels] = [
     "anthropic.claude-3-sonnet-20240229-v1:0:28k",
     "anthropic.claude-haiku-4-5-20251001-v1:0",
     "anthropic.claude-instant-v1:2:100k",
+    "anthropic.claude-opus-4-5-20251101-v1:0",
     "anthropic.claude-opus-4-1-20250805-v1:0",
     "anthropic.claude-opus-4-20250514-v1:0",
     "anthropic.claude-sonnet-4-20250514-v1:0",
diff --git a/lib/crewai/src/crewai/llms/providers/azure/completion.py b/lib/crewai/src/crewai/llms/providers/azure/completion.py
index e79bb72f2..0fc7a5f82 100644
--- a/lib/crewai/src/crewai/llms/providers/azure/completion.py
+++ b/lib/crewai/src/crewai/llms/providers/azure/completion.py
@@ -8,6 +8,7 @@ from typing import TYPE_CHECKING, Any
 from pydantic import BaseModel
 
 from crewai.utilities.agent_utils import is_context_length_exceeded
+from crewai.utilities.converter import generate_model_description
 from crewai.utilities.exceptions.context_window_exceeding_exception import (
     LLMContextLengthExceededError,
 )
@@ -26,6 +27,7 @@ try:
     from azure.ai.inference.models import (
         ChatCompletions,
         ChatCompletionsToolCall,
+        JsonSchemaFormat,
         StreamingChatCompletionsUpdate,
     )
     from azure.core.credentials import (
@@ -278,13 +280,16 @@ class AzureCompletion(BaseLLM):
         }
 
         if response_model and self.is_openai_model:
-            params["response_format"] = {
-                "type": "json_schema",
-                "json_schema": {
-                    "name": response_model.__name__,
-                    "schema": response_model.model_json_schema(),
-                },
-            }
+            model_description = generate_model_description(response_model)
+            json_schema_info = model_description["json_schema"]
+            json_schema_name = json_schema_info["name"]
+
+            params["response_format"] = JsonSchemaFormat(
+                name=json_schema_name,
+                schema=json_schema_info["schema"],
+                description=f"Schema for {json_schema_name}",
+                strict=json_schema_info["strict"],
+            )
 
         # Only include model parameter for non-Azure OpenAI endpoints
         # Azure OpenAI endpoints have the deployment name in the URL
@@ -311,8 +316,8 @@ class AzureCompletion(BaseLLM):
             params["tool_choice"] = "auto"
 
         additional_params = self.additional_params
-        additional_drop_params = additional_params.get('additional_drop_params')
-        drop_params = additional_params.get('drop_params')
+        additional_drop_params = additional_params.get("additional_drop_params")
+        drop_params = additional_params.get("drop_params")
 
         if drop_params and isinstance(additional_drop_params, list):
             for drop_param in additional_drop_params:
diff --git a/lib/crewai/src/crewai/mcp/transports/sse.py b/lib/crewai/src/crewai/mcp/transports/sse.py
index ce418c51f..c2184e7d0 100644
--- a/lib/crewai/src/crewai/mcp/transports/sse.py
+++ b/lib/crewai/src/crewai/mcp/transports/sse.py
@@ -66,7 +66,6 @@ class SSETransport(BaseTransport):
             self._transport_context = sse_client(
                 self.url,
                 headers=self.headers if self.headers else None,
-                terminate_on_close=True,
             )
 
             read, write = await self._transport_context.__aenter__()
diff --git a/lib/crewai/src/crewai/project/annotations.py b/lib/crewai/src/crewai/project/annotations.py
index a36999052..160359540 100644
--- a/lib/crewai/src/crewai/project/annotations.py
+++ b/lib/crewai/src/crewai/project/annotations.py
@@ -2,8 +2,10 @@
 
 from __future__ import annotations
 
+import asyncio
 from collections.abc import Callable
 from functools import wraps
+import inspect
 from typing import TYPE_CHECKING, Any, Concatenate, ParamSpec, TypeVar, overload
 
 from crewai.project.utils import memoize
@@ -156,6 +158,23 @@ def cache_handler(meth: Callable[P, R]) -> CacheHandlerMethod[P, R]:
     return CacheHandlerMethod(memoize(meth))
 
 
+def _call_method(method: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
+    """Call a method, awaiting it if async and running in an event loop."""
+    result = method(*args, **kwargs)
+    if inspect.iscoroutine(result):
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            loop = None
+        if loop and loop.is_running():
+            import concurrent.futures
+
+            with concurrent.futures.ThreadPoolExecutor() as pool:
+                return pool.submit(asyncio.run, result).result()
+        return asyncio.run(result)
+    return result
+
+
 @overload
 def crew(
     meth: Callable[Concatenate[SelfT, P], Crew],
@@ -198,7 +217,7 @@ def crew(
 
         # Instantiate tasks in order
         for _, task_method in tasks:
-            task_instance = task_method(self)
+            task_instance = _call_method(task_method, self)
             instantiated_tasks.append(task_instance)
             agent_instance = getattr(task_instance, "agent", None)
             if agent_instance and agent_instance.role not in agent_roles:
@@ -207,7 +226,7 @@ def crew(
 
         # Instantiate agents not included by tasks
         for _, agent_method in agents:
-            agent_instance = agent_method(self)
+            agent_instance = _call_method(agent_method, self)
             if agent_instance.role not in agent_roles:
                 instantiated_agents.append(agent_instance)
                 agent_roles.add(agent_instance.role)
@@ -215,7 +234,7 @@ def crew(
         self.agents = instantiated_agents
         self.tasks = instantiated_tasks
 
-        crew_instance = meth(self, *args, **kwargs)
+        crew_instance: Crew = _call_method(meth, self, *args, **kwargs)
 
         def callback_wrapper(
             hook: Callable[Concatenate[CrewInstance, P2], R2], instance: CrewInstance
diff --git a/lib/crewai/src/crewai/project/utils.py b/lib/crewai/src/crewai/project/utils.py
index eae363b0d..b46a4dc44 100644
--- a/lib/crewai/src/crewai/project/utils.py
+++ b/lib/crewai/src/crewai/project/utils.py
@@ -1,7 +1,8 @@
 """Utility functions for the crewai project module."""
 
-from collections.abc import Callable
+from collections.abc import Callable, Coroutine
 from functools import wraps
+import inspect
 from typing import Any, ParamSpec, TypeVar, cast
 
 from pydantic import BaseModel
@@ -37,8 +38,8 @@ def _make_hashable(arg: Any) -> Any:
 def memoize(meth: Callable[P, R]) -> Callable[P, R]:
     """Memoize a method by caching its results based on arguments.
 
-    Handles Pydantic BaseModel instances by converting them to JSON strings
-    before hashing for cache lookup.
+    Handles both sync and async methods. Pydantic BaseModel instances are
+    converted to JSON strings before hashing for cache lookup.
 
     Args:
         meth: The method to memoize.
@@ -46,18 +47,16 @@ def memoize(meth: Callable[P, R]) -> Callable[P, R]:
     Returns:
         A memoized version of the method that caches results.
     """
+    if inspect.iscoroutinefunction(meth):
+        return cast(Callable[P, R], _memoize_async(meth))
+    return _memoize_sync(meth)
+
+
+def _memoize_sync(meth: Callable[P, R]) -> Callable[P, R]:
+    """Memoize a synchronous method."""
 
     @wraps(meth)
     def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
-        """Wrapper that converts arguments to hashable form before caching.
-
-        Args:
-            *args: Positional arguments to the memoized method.
-            **kwargs: Keyword arguments to the memoized method.
-
-        Returns:
-            The result of the memoized method call.
-        """
         hashable_args = tuple(_make_hashable(arg) for arg in args)
         hashable_kwargs = tuple(
             sorted((k, _make_hashable(v)) for k, v in kwargs.items())
@@ -73,3 +72,27 @@ def memoize(meth: Callable[P, R]) -> Callable[P, R]:
         return result
 
     return cast(Callable[P, R], wrapper)
+
+
+def _memoize_async(
+    meth: Callable[P, Coroutine[Any, Any, R]],
+) -> Callable[P, Coroutine[Any, Any, R]]:
+    """Memoize an async method."""
+
+    @wraps(meth)
+    async def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+        hashable_args = tuple(_make_hashable(arg) for arg in args)
+        hashable_kwargs = tuple(
+            sorted((k, _make_hashable(v)) for k, v in kwargs.items())
+        )
+        cache_key = str((hashable_args, hashable_kwargs))
+
+        cached_result: R | None = cache.read(tool=meth.__name__, input=cache_key)
+        if cached_result is not None:
+            return cached_result
+
+        result = await meth(*args, **kwargs)
+        cache.add(tool=meth.__name__, input=cache_key, output=result)
+        return result
+
+    return wrapper
diff --git a/lib/crewai/src/crewai/project/wrappers.py b/lib/crewai/src/crewai/project/wrappers.py
index bfe28aa22..28cd39525 100644
--- a/lib/crewai/src/crewai/project/wrappers.py
+++ b/lib/crewai/src/crewai/project/wrappers.py
@@ -2,8 +2,10 @@
 
 from __future__ import annotations
 
+import asyncio
 from collections.abc import Callable
 from functools import partial
+import inspect
 from pathlib import Path
 from typing import (
     TYPE_CHECKING,
@@ -132,6 +134,22 @@ class CrewClass(Protocol):
     crew: Callable[..., Crew]
 
 
+def _resolve_result(result: Any) -> Any:
+    """Resolve a potentially async result to its value."""
+    if inspect.iscoroutine(result):
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            loop = None
+        if loop and loop.is_running():
+            import concurrent.futures
+
+            with concurrent.futures.ThreadPoolExecutor() as pool:
+                return pool.submit(asyncio.run, result).result()
+        return asyncio.run(result)
+    return result
+
+
 class DecoratedMethod(Generic[P, R]):
     """Base wrapper for methods with decorator metadata.
 
@@ -162,7 +180,12 @@ class DecoratedMethod(Generic[P, R]):
         """
         if obj is None:
             return self
-        bound = partial(self._meth, obj)
+        inner = partial(self._meth, obj)
+
+        def _bound(*args: Any, **kwargs: Any) -> R:
+            result: R = _resolve_result(inner(*args, **kwargs))  # type: ignore[call-arg]
+            return result
+
         for attr in (
             "is_agent",
             "is_llm",
@@ -174,8 +197,8 @@ class DecoratedMethod(Generic[P, R]):
             "is_crew",
         ):
             if hasattr(self, attr):
-                setattr(bound, attr, getattr(self, attr))
-        return bound
+                setattr(_bound, attr, getattr(self, attr))
+        return _bound
 
     def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R:
         """Call the wrapped method.
@@ -236,6 +259,7 @@ class BoundTaskMethod(Generic[TaskResultT]):
             The task result with name ensured.
         """
         result = self._task_method.unwrap()(self._obj, *args, **kwargs)
+        result = _resolve_result(result)
         return self._task_method.ensure_task_name(result)
 
 
@@ -292,7 +316,9 @@ class TaskMethod(Generic[P, TaskResultT]):
         Returns:
             The task instance with name set if not already provided.
         """
-        return self.ensure_task_name(self._meth(*args, **kwargs))
+        result = self._meth(*args, **kwargs)
+        result = _resolve_result(result)
+        return self.ensure_task_name(result)
 
     def unwrap(self) -> Callable[P, TaskResultT]:
         """Get the original unwrapped method.
diff --git a/lib/crewai/tests/cli/test_config.py b/lib/crewai/tests/cli/test_config.py
index 4db005e78..4dec94ee3 100644
--- a/lib/crewai/tests/cli/test_config.py
+++ b/lib/crewai/tests/cli/test_config.py
@@ -72,7 +72,8 @@ class TestSettings(unittest.TestCase):
     @patch("crewai.cli.config.TokenManager")
     def test_reset_settings(self, mock_token_manager):
         user_settings = {key: f"value_for_{key}" for key in USER_SETTINGS_KEYS}
-        cli_settings = {key: f"value_for_{key}" for key in CLI_SETTINGS_KEYS}
+        cli_settings = {key: f"value_for_{key}" for key in CLI_SETTINGS_KEYS if key != "oauth2_extra"}
+        cli_settings["oauth2_extra"] = {"scope": "xxx", "other": "yyy"}
 
         settings = Settings(
             config_path=self.config_path, **user_settings, **cli_settings
diff --git a/lib/crewai/tests/mcp/test_sse_transport.py b/lib/crewai/tests/mcp/test_sse_transport.py
new file mode 100644
index 000000000..a714c6ce7
--- /dev/null
+++ b/lib/crewai/tests/mcp/test_sse_transport.py
@@ -0,0 +1,22 @@
+"""Tests for SSE transport."""
+
+import pytest
+
+from crewai.mcp.transports.sse import SSETransport
+
+
+@pytest.mark.asyncio
+async def test_sse_transport_connect_does_not_pass_invalid_args():
+    """Test that SSETransport.connect() doesn't pass invalid args to sse_client.
+
+    The sse_client function does not accept terminate_on_close parameter.
+    """
+    transport = SSETransport(
+        url="http://localhost:9999/sse",
+        headers={"Authorization": "Bearer test"},
+    )
+
+    with pytest.raises(ConnectionError) as exc_info:
+        await transport.connect()
+
+    assert "unexpected keyword argument" not in str(exc_info.value)
\ No newline at end of file
diff --git a/lib/crewai/tests/test_llm.py b/lib/crewai/tests/test_llm.py
index 50df854d4..977d40f2c 100644
--- a/lib/crewai/tests/test_llm.py
+++ b/lib/crewai/tests/test_llm.py
@@ -243,7 +243,11 @@ def test_validate_call_params_not_supported():
 
     # Patch supports_response_schema to simulate an unsupported model.
     with patch("crewai.llm.supports_response_schema", return_value=False):
-        llm = LLM(model="gemini/gemini-1.5-pro", response_format=DummyResponse, is_litellm=True)
+        llm = LLM(
+            model="gemini/gemini-1.5-pro",
+            response_format=DummyResponse,
+            is_litellm=True,
+        )
         with pytest.raises(ValueError) as excinfo:
             llm._validate_call_params()
         assert "does not support response_format" in str(excinfo.value)
@@ -702,13 +706,16 @@ def test_ollama_does_not_modify_when_last_is_user(ollama_llm):
 
     assert formatted == original_messages
 
+
 def test_native_provider_raises_error_when_supported_but_fails():
     """Test that when a native provider is in SUPPORTED_NATIVE_PROVIDERS but fails to instantiate, we raise the error."""
     with patch("crewai.llm.SUPPORTED_NATIVE_PROVIDERS", ["openai"]):
         with patch("crewai.llm.LLM._get_native_provider") as mock_get_native:
             # Mock that provider exists but throws an error when instantiated
             mock_provider = MagicMock()
-            mock_provider.side_effect = ValueError("Native provider initialization failed")
+            mock_provider.side_effect = ValueError(
+                "Native provider initialization failed"
+            )
             mock_get_native.return_value = mock_provider
 
             with pytest.raises(ImportError) as excinfo:
@@ -751,16 +758,16 @@ def test_prefixed_models_with_valid_constants_use_native_sdk():
 
 
 def test_prefixed_models_with_invalid_constants_use_litellm():
-    """Test that models with native provider prefixes use LiteLLM when model is NOT in constants."""
+    """Test that models with native provider prefixes use LiteLLM when model is NOT in constants and does NOT match patterns."""
     # Test openai/ prefix with non-OpenAI model (not in OPENAI_MODELS) → LiteLLM
     llm = LLM(model="openai/gemini-2.5-flash", is_litellm=False)
     assert llm.is_litellm is True
     assert llm.model == "openai/gemini-2.5-flash"
 
-    # Test openai/ prefix with unknown future model → LiteLLM
-    llm2 = LLM(model="openai/gpt-future-6", is_litellm=False)
+    # Test openai/ prefix with model that doesn't match patterns (e.g. no gpt- prefix) → LiteLLM
+    llm2 = LLM(model="openai/custom-finetune-model", is_litellm=False)
     assert llm2.is_litellm is True
-    assert llm2.model == "openai/gpt-future-6"
+    assert llm2.model == "openai/custom-finetune-model"
 
     # Test anthropic/ prefix with non-Anthropic model → LiteLLM
     llm3 = LLM(model="anthropic/gpt-4o", is_litellm=False)
@@ -768,6 +775,21 @@ def test_prefixed_models_with_invalid_constants_use_litellm():
     assert llm3.model == "anthropic/gpt-4o"
 
 
+def test_prefixed_models_with_valid_patterns_use_native_sdk():
+    """Test that models matching provider patterns use native SDK even if not in constants."""
+    with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
+        llm = LLM(model="openai/gpt-future-6", is_litellm=False)
+        assert llm.is_litellm is False
+        assert llm.provider == "openai"
+        assert llm.model == "gpt-future-6"
+
+    with patch.dict(os.environ, {"ANTHROPIC_API_KEY": "test-key"}):
+        llm2 = LLM(model="anthropic/claude-future-5", is_litellm=False)
+        assert llm2.is_litellm is False
+        assert llm2.provider == "anthropic"
+        assert llm2.model == "claude-future-5"
+
+
 def test_prefixed_models_with_non_native_providers_use_litellm():
     """Test that models with non-native provider prefixes always use LiteLLM."""
     # Test groq/ prefix (not a native provider) → LiteLLM
@@ -821,19 +843,36 @@ def test_validate_model_in_constants():
     """Test the _validate_model_in_constants method."""
     # OpenAI models
     assert LLM._validate_model_in_constants("gpt-4o", "openai") is True
-    assert LLM._validate_model_in_constants("gpt-future-6", "openai") is False
+    assert LLM._validate_model_in_constants("gpt-future-6", "openai") is True
+    assert LLM._validate_model_in_constants("o1-latest", "openai") is True
+    assert LLM._validate_model_in_constants("unknown-model", "openai") is False
 
     # Anthropic models
     assert LLM._validate_model_in_constants("claude-opus-4-0", "claude") is True
-    assert LLM._validate_model_in_constants("claude-future-5", "claude") is False
+    assert LLM._validate_model_in_constants("claude-future-5", "claude") is True
+    assert (
+        LLM._validate_model_in_constants("claude-3-5-sonnet-latest", "claude") is True
+    )
+    assert LLM._validate_model_in_constants("unknown-model", "claude") is False
 
     # Gemini models
     assert LLM._validate_model_in_constants("gemini-2.5-pro", "gemini") is True
-    assert LLM._validate_model_in_constants("gemini-future", "gemini") is False
+    assert LLM._validate_model_in_constants("gemini-future", "gemini") is True
+    assert LLM._validate_model_in_constants("gemma-3-latest", "gemini") is True
+    assert LLM._validate_model_in_constants("unknown-model", "gemini") is False
 
     # Azure models
     assert LLM._validate_model_in_constants("gpt-4o", "azure") is True
     assert LLM._validate_model_in_constants("gpt-35-turbo", "azure") is True
 
     # Bedrock models
-    assert LLM._validate_model_in_constants("anthropic.claude-opus-4-1-20250805-v1:0", "bedrock") is True
+    assert (
+        LLM._validate_model_in_constants(
+            "anthropic.claude-opus-4-1-20250805-v1:0", "bedrock"
+        )
+        is True
+    )
+    assert (
+        LLM._validate_model_in_constants("anthropic.claude-future-v1:0", "bedrock")
+        is True
+    )
diff --git a/lib/crewai/tests/test_project.py b/lib/crewai/tests/test_project.py
index ebc3dfb82..33cf228f7 100644
--- a/lib/crewai/tests/test_project.py
+++ b/lib/crewai/tests/test_project.py
@@ -272,6 +272,99 @@ def another_simple_tool():
     return "Hi!"
 
 
+class TestAsyncDecoratorSupport:
+    """Tests for async method support in @agent, @task decorators."""
+
+    def test_async_agent_memoization(self):
+        """Async agent methods should be properly memoized."""
+
+        class AsyncAgentCrew:
+            call_count = 0
+
+            @agent
+            async def async_agent(self):
+                AsyncAgentCrew.call_count += 1
+                return Agent(
+                    role="Async Agent", goal="Async Goal", backstory="Async Backstory"
+                )
+
+        crew = AsyncAgentCrew()
+        first_call = crew.async_agent()
+        second_call = crew.async_agent()
+
+        assert first_call is second_call, "Async agent memoization failed"
+        assert AsyncAgentCrew.call_count == 1, "Async agent called more than once"
+
+    def test_async_task_memoization(self):
+        """Async task methods should be properly memoized."""
+
+        class AsyncTaskCrew:
+            call_count = 0
+
+            @task
+            async def async_task(self):
+                AsyncTaskCrew.call_count += 1
+                return Task(
+                    description="Async Description", expected_output="Async Output"
+                )
+
+        crew = AsyncTaskCrew()
+        first_call = crew.async_task()
+        second_call = crew.async_task()
+
+        assert first_call is second_call, "Async task memoization failed"
+        assert AsyncTaskCrew.call_count == 1, "Async task called more than once"
+
+    def test_async_task_name_inference(self):
+        """Async task should have name inferred from method name."""
+
+        class AsyncTaskNameCrew:
+            @task
+            async def my_async_task(self):
+                return Task(
+                    description="Async Description", expected_output="Async Output"
+                )
+
+        crew = AsyncTaskNameCrew()
+        task_instance = crew.my_async_task()
+
+        assert task_instance.name == "my_async_task", (
+            "Async task name not inferred correctly"
+        )
+
+    def test_async_agent_returns_agent_not_coroutine(self):
+        """Async agent decorator should return Agent, not coroutine."""
+
+        class AsyncAgentTypeCrew:
+            @agent
+            async def typed_async_agent(self):
+                return Agent(
+                    role="Typed Agent", goal="Typed Goal", backstory="Typed Backstory"
+                )
+
+        crew = AsyncAgentTypeCrew()
+        result = crew.typed_async_agent()
+
+        assert isinstance(result, Agent), (
+            f"Expected Agent, got {type(result).__name__}"
+        )
+
+    def test_async_task_returns_task_not_coroutine(self):
+        """Async task decorator should return Task, not coroutine."""
+
+        class AsyncTaskTypeCrew:
+            @task
+            async def typed_async_task(self):
+                return Task(
+                    description="Typed Description", expected_output="Typed Output"
+                )
+
+        crew = AsyncTaskTypeCrew()
+        result = crew.typed_async_task()
+
+        assert isinstance(result, Task), f"Expected Task, got {type(result).__name__}"
+
+
 def test_internal_crew_with_mcp():
     from crewai_tools.adapters.tool_collection import ToolCollection
 
diff --git a/lib/devtools/src/crewai_devtools/__init__.py b/lib/devtools/src/crewai_devtools/__init__.py
index b25505c49..244a2f5f0 100644
--- a/lib/devtools/src/crewai_devtools/__init__.py
+++ b/lib/devtools/src/crewai_devtools/__init__.py
@@ -1,3 +1,3 @@
 """CrewAI development tools."""
 
-__version__ = "1.6.0"
+__version__ = "1.6.1"
diff --git a/uv.lock b/uv.lock
index cddce0c96..23fe4aca9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1225,7 +1225,7 @@ dependencies = [
     { name = "crewai" },
     { name = "docker" },
     { name = "lancedb" },
-    { name = "pypdf" },
+    { name = "pymupdf" },
     { name = "python-docx" },
     { name = "pytube" },
     { name = "requests" },
@@ -1382,8 +1382,8 @@ requires-dist = [
     { name = "psycopg2-binary", marker = "extra == 'postgresql'", specifier = ">=2.9.10" },
     { name = "pygithub", marker = "extra == 'github'", specifier = "==1.59.1" },
     { name = "pymongo", marker = "extra == 'mongodb'", specifier = ">=4.13" },
+    { name = "pymupdf", specifier = ">=1.26.6" },
     { name = "pymysql", marker = "extra == 'mysql'", specifier = ">=1.1.1" },
-    { name = "pypdf", specifier = ">=5.9.0" },
     { name = "python-docx", specifier = ">=1.2.0" },
     { name = "python-docx", marker = "extra == 'rag'", specifier = ">=1.1.0" },
     { name = "pytube", specifier = ">=15.0.0" },
@@ -5978,6 +5978,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/48/7c/42f0b6997324023e94939f8f32b9a8dd928499f4b5d7b4412905368686b5/pymongo-4.15.3-cp313-cp313-win_arm64.whl", hash = "sha256:fb384623ece34db78d445dd578a52d28b74e8319f4d9535fbaff79d0eae82b3d", size = 944300, upload-time = "2025-10-07T21:56:58.969Z" },
 ]
 
+[[package]]
+name = "pymupdf"
+version = "1.26.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ec/d7/a6f0e03a117fa2ad79c4b898203bb212b17804f92558a6a339298faca7bb/pymupdf-1.26.6.tar.gz", hash = "sha256:a2b4531cd4ab36d6f1f794bb6d3c33b49bda22f36d58bb1f3e81cbc10183bd2b", size = 84322494, upload-time = "2025-11-05T15:20:46.786Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9e/5c/dec354eee5fe4966c715f33818ed4193e0e6c986cf8484de35b6c167fb8e/pymupdf-1.26.6-cp310-abi3-macosx_10_9_x86_64.whl", hash = "sha256:e46f320a136ad55e5219e8f0f4061bdf3e4c12b126d2740d5a49f73fae7ea176", size = 23178988, upload-time = "2025-11-05T14:31:19.834Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/a0/11adb742d18142bd623556cd3b5d64649816decc5eafd30efc9498657e76/pymupdf-1.26.6-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:6844cd2396553c0fa06de4869d5d5ecb1260e6fc3b9d85abe8fa35f14dd9d688", size = 22469764, upload-time = "2025-11-05T14:32:34.654Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/c8/377cf20e31f58d4c243bfcf2d3cb7466d5b97003b10b9f1161f11eb4a994/pymupdf-1.26.6-cp310-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:617ba69e02c44f0da1c0e039ea4a26cf630849fd570e169c71daeb8ac52a81d6", size = 23502227, upload-time = "2025-11-06T11:03:56.934Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/bf/6e02e3d84b32c137c71a0a3dcdba8f2f6e9950619a3bc272245c7c06a051/pymupdf-1.26.6-cp310-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:7777d0b7124c2ebc94849536b6a1fb85d158df3b9d873935e63036559391534c", size = 24115381, upload-time = "2025-11-05T14:33:54.338Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/9d/30f7fcb3776bfedde66c06297960debe4883b1667294a1ee9426c942e94d/pymupdf-1.26.6-cp310-abi3-win32.whl", hash = "sha256:8f3ef05befc90ca6bb0f12983200a7048d5bff3e1c1edef1bb3de60b32cb5274", size = 17203613, upload-time = "2025-11-05T17:19:47.494Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/e8/989f4eaa369c7166dc24f0eaa3023f13788c40ff1b96701f7047421554a8/pymupdf-1.26.6-cp310-abi3-win_amd64.whl", hash = "sha256:ce02ca96ed0d1acfd00331a4d41a34c98584d034155b06fd4ec0f051718de7ba", size = 18405680, upload-time = "2025-11-05T14:34:48.672Z" },
+]
+
 [[package]]
 name = "pymysql"
 version = "1.1.2"