diff --git a/python/packages/main/agent_framework/_tools.py b/python/packages/main/agent_framework/_tools.py
index 5bea36015d..fd4c76a7bc 100644
--- a/python/packages/main/agent_framework/_tools.py
+++ b/python/packages/main/agent_framework/_tools.py
@@ -4,7 +4,7 @@ import inspect
 from collections.abc import Awaitable, Callable
 from functools import wraps
 from time import perf_counter
-from typing import Annotated, Any, Generic, Protocol, TypeVar, get_args, get_origin, runtime_checkable
+from typing import TYPE_CHECKING, Annotated, Any, Generic, Protocol, TypeVar, get_args, get_origin, runtime_checkable
 
 from opentelemetry import metrics, trace
 from pydantic import BaseModel, Field, create_model
@@ -12,6 +12,9 @@ from pydantic import BaseModel, Field, create_model
 from ._logging import get_logger
 from .telemetry import GenAIAttributes, start_as_current_span
 
+if TYPE_CHECKING:
+    from ._types import AIContents
+
 tracer: trace.Tracer = trace.get_tracer("agent_framework")
 meter: metrics.Meter = metrics.get_meter_provider().get_meter("agent_framework")
 logger = get_logger()
@@ -216,6 +219,45 @@ def ai_function(
     return decorator(func) if func else decorator  # type: ignore[reportReturnType, return-value]
 
 
+def _parse_inputs(
+    inputs: "AIContents | dict[str, Any] | str | list[AIContents | dict[str, Any] | str] | None",
+) -> list["AIContents"]:
+    """Parse the inputs for a tool, ensuring they are of type AIContents."""
+    if inputs is None:
+        return []
+
+    from ._types import AIContent, DataContent, HostedFileContent, HostedVectorStoreContent, UriContent
+
+    parsed_inputs: list["AIContents"] = []
+    if not isinstance(inputs, list):
+        inputs = [inputs]
+    for input_item in inputs:
+        if isinstance(input_item, str):
+            # If it's a string, we assume it's a URI or similar identifier.
+            # Convert it to a UriContent or similar type as needed.
+            parsed_inputs.append(UriContent(uri=input_item, media_type="text/plain"))
+        elif isinstance(input_item, dict):
+            # If it's a dict, we assume it contains properties for a specific content type.
+            # we check if the required keys are present to determine the type.
+            if "uri" in input_item:
+                parsed_inputs.append(
+                    UriContent(**input_item) if "media_type" in input_item else DataContent(**input_item)
+                )
+            elif "file_id" in input_item:
+                parsed_inputs.append(HostedFileContent(**input_item))
+            elif "vector_store_id" in input_item:
+                parsed_inputs.append(HostedVectorStoreContent(**input_item))
+            elif "data" in input_item:
+                parsed_inputs.append(DataContent(**input_item))
+            else:
+                raise ValueError(f"Unsupported input type: {input_item}")
+        elif isinstance(input_item, AIContent):
+            parsed_inputs.append(input_item)
+        else:
+            raise TypeError(f"Unsupported input type: {type(input_item).__name__}. Expected AIContents or dict.")
+    return parsed_inputs
+
+
 class HostedCodeInterpreterTool(AITool):
     """Represents a hosted tool that can be specified to an AI service to enable it to execute generated code.
 
@@ -226,6 +268,7 @@ class HostedCodeInterpreterTool(AITool):
     def __init__(
         self,
         name: str = "code_interpreter",
+        inputs: "AIContents | dict[str, Any] | str | list[AIContents | dict[str, Any] | str] | None" = None,
         description: str | None = None,
         additional_properties: dict[str, Any] | None = None,
     ):
@@ -233,10 +276,19 @@ class HostedCodeInterpreterTool(AITool):
 
         Args:
             name: The name of the tool. Defaults to "code_interpreter".
+            inputs: A list of contents that the tool can accept as input. Defaults to None.
+                This should mostly be HostedFileContent or HostedVectorStoreContent.
+                Can also be DataContent, depending on the service used.
+                When supplying a list, it can contain:
+                - AIContents instances
+                - dicts with properties for AIContents (e.g., {"uri": "http://example.com", "media_type": "text/html"})
+                - strings (which will be converted to UriContent with media_type "text/plain").
+                If None, defaults to an empty list.
             description: A description of the tool.
             additional_properties: Additional properties associated with the tool, specific to the service used.
         """
         self.name = name
+        self.inputs = _parse_inputs(inputs)
         self.description = description
         self.additional_properties = additional_properties
 
diff --git a/python/packages/main/agent_framework/_types.py b/python/packages/main/agent_framework/_types.py
index 1a0cc83d67..f20b17590a 100644
--- a/python/packages/main/agent_framework/_types.py
+++ b/python/packages/main/agent_framework/_types.py
@@ -99,6 +99,8 @@ __all__ = [
     "FunctionCallContent",
     "FunctionResultContent",
     "GeneratedEmbeddings",
+    "HostedFileContent",
+    "HostedVectorStoreContent",
     "SpeechToTextOptions",
     "StructuredResponse",
     "TextContent",
@@ -1036,6 +1038,68 @@ class UsageContent(AIContent):
         )
 
 
+class HostedFileContent(AIContent):
+    """Represents a hosted file content.
+
+    Attributes:
+        file_id: The identifier of the hosted file.
+        type: The type of content, which is always "hosted_file" for this class.
+        additional_properties: Optional additional properties associated with the content.
+        raw_representation: Optional raw representation of the content.
+
+    """
+
+    type: Literal["hosted_file"] = "hosted_file"  # type: ignore[assignment]
+    file_id: str
+
+    def __init__(
+        self,
+        file_id: str,
+        *,
+        additional_properties: dict[str, Any] | None = None,
+        raw_representation: Any | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Initializes a HostedFileContent instance."""
+        super().__init__(
+            file_id=file_id,  # type: ignore[reportCallIssue]
+            additional_properties=additional_properties,
+            raw_representation=raw_representation,
+            **kwargs,
+        )
+
+
+class HostedVectorStoreContent(AIContent):
+    """Represents a hosted vector store content.
+
+    Attributes:
+        vector_store_id: The identifier of the hosted vector store.
+        type: The type of content, which is always "hosted_vector_store" for this class.
+        additional_properties: Optional additional properties associated with the content.
+        raw_representation: Optional raw representation of the content.
+
+    """
+
+    type: Literal["hosted_vector_store"] = "hosted_vector_store"  # type: ignore[assignment]
+    vector_store_id: str
+
+    def __init__(
+        self,
+        vector_store_id: str,
+        *,
+        additional_properties: dict[str, Any] | None = None,
+        raw_representation: Any | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Initializes a HostedVectorStoreContent instance."""
+        super().__init__(
+            vector_store_id=vector_store_id,  # type: ignore[reportCallIssue]
+            additional_properties=additional_properties,
+            raw_representation=raw_representation,
+            **kwargs,
+        )
+
+
 AIContents = Annotated[
     TextContent
     | DataContent
@@ -1044,7 +1108,9 @@ AIContents = Annotated[
     | FunctionCallContent
     | FunctionResultContent
     | ErrorContent
-    | UsageContent,
+    | UsageContent
+    | HostedFileContent
+    | HostedVectorStoreContent,
     Field(discriminator="type"),
 ]
 
diff --git a/python/packages/main/tests/main/test_tools.py b/python/packages/main/tests/main/test_tools.py
index be8cfb5f14..38918cf814 100644
--- a/python/packages/main/tests/main/test_tools.py
+++ b/python/packages/main/tests/main/test_tools.py
@@ -5,7 +5,8 @@ from unittest.mock import Mock, patch
 import pytest
 from pydantic import BaseModel
 
-from agent_framework import AIFunction, AITool, ai_function
+from agent_framework import AIFunction, AITool, HostedCodeInterpreterTool, ai_function
+from agent_framework._tools import _parse_inputs
 from agent_framework.telemetry import GenAIAttributes
 
 
@@ -288,3 +289,231 @@ async def test_ai_function_invoke_invalid_pydantic_args():
     # Call invoke with wrong model type
     with pytest.raises(TypeError, match="Expected invalid_args_test_input, got WrongModel"):
         await invalid_args_test.invoke(arguments=wrong_args)
+
+
+# Tests for HostedCodeInterpreterTool and _parse_inputs
+
+
+def test_hosted_code_interpreter_tool_default():
+    """Test HostedCodeInterpreterTool with default parameters."""
+    tool = HostedCodeInterpreterTool()
+
+    assert tool.name == "code_interpreter"
+    assert tool.inputs == []
+    assert tool.description is None
+    assert tool.additional_properties is None
+    assert str(tool) == "HostedCodeInterpreterTool(name=code_interpreter)"
+
+
+def test_hosted_code_interpreter_tool_custom_name():
+    """Test HostedCodeInterpreterTool with custom name."""
+    tool = HostedCodeInterpreterTool(name="custom_interpreter")
+
+    assert tool.name == "custom_interpreter"
+    assert tool.inputs == []
+    assert str(tool) == "HostedCodeInterpreterTool(name=custom_interpreter)"
+
+
+def test_hosted_code_interpreter_tool_with_description():
+    """Test HostedCodeInterpreterTool with description and additional properties."""
+    tool = HostedCodeInterpreterTool(
+        name="test_interpreter",
+        description="A test code interpreter",
+        additional_properties={"version": "1.0", "language": "python"},
+    )
+
+    assert tool.name == "test_interpreter"
+    assert tool.description == "A test code interpreter"
+    assert tool.additional_properties == {"version": "1.0", "language": "python"}
+
+
+def test_parse_inputs_none():
+    """Test _parse_inputs with None input."""
+    result = _parse_inputs(None)
+    assert result == []
+
+
+def test_parse_inputs_string():
+    """Test _parse_inputs with string input."""
+    from agent_framework import UriContent
+
+    result = _parse_inputs("http://example.com")
+    assert len(result) == 1
+    assert isinstance(result[0], UriContent)
+    assert result[0].uri == "http://example.com"
+    assert result[0].media_type == "text/plain"
+
+
+def test_parse_inputs_list_of_strings():
+    """Test _parse_inputs with list of strings."""
+    from agent_framework import UriContent
+
+    inputs = ["http://example.com", "https://test.org"]
+    result = _parse_inputs(inputs)
+
+    assert len(result) == 2
+    assert all(isinstance(item, UriContent) for item in result)
+    assert result[0].uri == "http://example.com"
+    assert result[1].uri == "https://test.org"
+    assert all(item.media_type == "text/plain" for item in result)
+
+
+def test_parse_inputs_uri_dict():
+    """Test _parse_inputs with URI dictionary."""
+    from agent_framework import UriContent
+
+    input_dict = {"uri": "http://example.com", "media_type": "application/json"}
+    result = _parse_inputs(input_dict)
+
+    assert len(result) == 1
+    assert isinstance(result[0], UriContent)
+    assert result[0].uri == "http://example.com"
+    assert result[0].media_type == "application/json"
+
+
+def test_parse_inputs_hosted_file_dict():
+    """Test _parse_inputs with hosted file dictionary."""
+    from agent_framework import HostedFileContent
+
+    input_dict = {"file_id": "file-123"}
+    result = _parse_inputs(input_dict)
+
+    assert len(result) == 1
+    assert isinstance(result[0], HostedFileContent)
+    assert result[0].file_id == "file-123"
+
+
+def test_parse_inputs_hosted_vector_store_dict():
+    """Test _parse_inputs with hosted vector store dictionary."""
+    from agent_framework import HostedVectorStoreContent
+
+    input_dict = {"vector_store_id": "vs-789"}
+    result = _parse_inputs(input_dict)
+
+    assert len(result) == 1
+    assert isinstance(result[0], HostedVectorStoreContent)
+    assert result[0].vector_store_id == "vs-789"
+
+
+def test_parse_inputs_data_dict():
+    """Test _parse_inputs with data dictionary."""
+    from agent_framework import DataContent
+
+    input_dict = {"data": b"test data", "media_type": "application/octet-stream"}
+    result = _parse_inputs(input_dict)
+
+    assert len(result) == 1
+    assert isinstance(result[0], DataContent)
+    assert result[0].uri == "data:application/octet-stream;base64,dGVzdCBkYXRh"
+    assert result[0].media_type == "application/octet-stream"
+
+
+def test_parse_inputs_ai_contents_instance():
+    """Test _parse_inputs with AIContents instance."""
+    from agent_framework import TextContent
+
+    text_content = TextContent(text="Hello, world!")
+    result = _parse_inputs(text_content)
+
+    assert len(result) == 1
+    assert isinstance(result[0], TextContent)
+    assert result[0].text == "Hello, world!"
+
+
+def test_parse_inputs_mixed_list():
+    """Test _parse_inputs with mixed input types."""
+    from agent_framework import HostedFileContent, TextContent, UriContent
+
+    inputs = [
+        "http://example.com",  # string
+        {"uri": "https://test.org", "media_type": "text/html"},  # URI dict
+        {"file_id": "file-456"},  # hosted file dict
+        TextContent(text="Hello"),  # AIContents instance
+    ]
+
+    result = _parse_inputs(inputs)
+
+    assert len(result) == 4
+    assert isinstance(result[0], UriContent)
+    assert result[0].uri == "http://example.com"
+    assert isinstance(result[1], UriContent)
+    assert result[1].uri == "https://test.org"
+    assert result[1].media_type == "text/html"
+    assert isinstance(result[2], HostedFileContent)
+    assert result[2].file_id == "file-456"
+    assert isinstance(result[3], TextContent)
+    assert result[3].text == "Hello"
+
+
+def test_parse_inputs_unsupported_dict():
+    """Test _parse_inputs with unsupported dictionary format."""
+    input_dict = {"unsupported_key": "value"}
+
+    with pytest.raises(ValueError, match="Unsupported input type"):
+        _parse_inputs(input_dict)
+
+
+def test_parse_inputs_unsupported_type():
+    """Test _parse_inputs with unsupported input type."""
+    with pytest.raises(TypeError, match="Unsupported input type: int"):
+        _parse_inputs(123)
+
+
+def test_hosted_code_interpreter_tool_with_string_input():
+    """Test HostedCodeInterpreterTool with string input."""
+    from agent_framework import UriContent
+
+    tool = HostedCodeInterpreterTool(inputs="http://example.com")
+
+    assert len(tool.inputs) == 1
+    assert isinstance(tool.inputs[0], UriContent)
+    assert tool.inputs[0].uri == "http://example.com"
+
+
+def test_hosted_code_interpreter_tool_with_dict_inputs():
+    """Test HostedCodeInterpreterTool with dictionary inputs."""
+    from agent_framework import HostedFileContent, UriContent
+
+    inputs = [{"uri": "http://example.com", "media_type": "text/html"}, {"file_id": "file-123"}]
+
+    tool = HostedCodeInterpreterTool(inputs=inputs)
+
+    assert len(tool.inputs) == 2
+    assert isinstance(tool.inputs[0], UriContent)
+    assert tool.inputs[0].uri == "http://example.com"
+    assert tool.inputs[0].media_type == "text/html"
+    assert isinstance(tool.inputs[1], HostedFileContent)
+    assert tool.inputs[1].file_id == "file-123"
+
+
+def test_hosted_code_interpreter_tool_with_ai_contents():
+    """Test HostedCodeInterpreterTool with AIContents instances."""
+    from agent_framework import DataContent, TextContent
+
+    inputs = [TextContent(text="Hello, world!"), DataContent(data=b"test", media_type="text/plain")]
+
+    tool = HostedCodeInterpreterTool(inputs=inputs)
+
+    assert len(tool.inputs) == 2
+    assert isinstance(tool.inputs[0], TextContent)
+    assert tool.inputs[0].text == "Hello, world!"
+    assert isinstance(tool.inputs[1], DataContent)
+    assert tool.inputs[1].media_type == "text/plain"
+
+
+def test_hosted_code_interpreter_tool_with_single_input():
+    """Test HostedCodeInterpreterTool with single input (not in list)."""
+    from agent_framework import HostedFileContent
+
+    input_dict = {"file_id": "file-single"}
+    tool = HostedCodeInterpreterTool(inputs=input_dict)
+
+    assert len(tool.inputs) == 1
+    assert isinstance(tool.inputs[0], HostedFileContent)
+    assert tool.inputs[0].file_id == "file-single"
+
+
+def test_hosted_code_interpreter_tool_with_unknown_input():
+    """Test HostedCodeInterpreterTool with single unknown input."""
+    with pytest.raises(ValueError, match="Unsupported input type"):
+        HostedCodeInterpreterTool(inputs={"hosted_file": "file-single"})
diff --git a/python/packages/main/tests/main/test_types.py b/python/packages/main/tests/main/test_types.py
index fb51cf6de5..0f4ed6fd0e 100644
--- a/python/packages/main/tests/main/test_types.py
+++ b/python/packages/main/tests/main/test_types.py
@@ -27,6 +27,8 @@ from agent_framework import (
     FunctionCallContent,
     FunctionResultContent,
     GeneratedEmbeddings,
+    HostedFileContent,
+    HostedVectorStoreContent,
     SpeechToTextOptions,
     StructuredResponse,
     TextContent,
@@ -187,6 +189,68 @@ def test_uri_content():
     assert isinstance(content, AIContent)
 
 
+# region: HostedFileContent
+
+
+def test_hosted_file_content():
+    """Test the HostedFileContent class to ensure it initializes correctly."""
+    content = HostedFileContent(file_id="file-123", additional_properties={"version": 1})
+
+    # Check the type and content
+    assert content.type == "hosted_file"
+    assert content.file_id == "file-123"
+    assert content.additional_properties["version"] == 1
+
+    # Ensure the instance is of type AIContent
+    assert isinstance(content, AIContent)
+
+
+def test_hosted_file_content_minimal():
+    """Test the HostedFileContent class with minimal parameters."""
+    content = HostedFileContent(file_id="file-456")
+
+    # Check the type and content
+    assert content.type == "hosted_file"
+    assert content.file_id == "file-456"
+    assert content.additional_properties is None
+    assert content.raw_representation is None
+
+    # Ensure the instance is of type AIContent
+    assert isinstance(content, AIContent)
+
+
+# region: HostedVectorStoreContent
+
+
+def test_hosted_vector_store_content():
+    """Test the HostedVectorStoreContent class to ensure it initializes correctly."""
+    content = HostedVectorStoreContent(vector_store_id="vs-789", additional_properties={"version": 1})
+
+    # Check the type and content
+    assert content.type == "hosted_vector_store"
+    assert content.vector_store_id == "vs-789"
+    assert content.additional_properties["version"] == 1
+
+    # Ensure the instance is of type AIContent
+    assert isinstance(content, HostedVectorStoreContent)
+    assert isinstance(content, AIContent)
+
+
+def test_hosted_vector_store_content_minimal():
+    """Test the HostedVectorStoreContent class with minimal parameters."""
+    content = HostedVectorStoreContent(vector_store_id="vs-101112")
+
+    # Check the type and content
+    assert content.type == "hosted_vector_store"
+    assert content.vector_store_id == "vs-101112"
+    assert content.additional_properties is None
+    assert content.raw_representation is None
+
+    # Ensure the instance is of type AIContent
+    assert isinstance(content, HostedVectorStoreContent)
+    assert isinstance(content, AIContent)
+
+
 # region FunctionCallContent
 
 
@@ -328,6 +392,8 @@ def test_usage_details_add_with_none_and_type_errors():
         (UriContent, {"uri": "http://example.com", "media_type": "text/html"}),
         (FunctionCallContent, {"call_id": "1", "name": "example_function", "arguments": {}}),
         (FunctionResultContent, {"call_id": "1", "result": {}}),
+        (HostedFileContent, {"file_id": "file-123"}),
+        (HostedVectorStoreContent, {"vector_store_id": "vs-789"}),
     ],
 )
 def test_ai_content_serialization(content_type: type[AIContent], args: dict):