diff --git a/docs/decisions/0039-python-refusal-content.md b/docs/decisions/0039-python-refusal-content.md
new file mode 100644
index 00000000000..5f8dd9a6f99
--- /dev/null
+++ b/docs/decisions/0039-python-refusal-content.md
@@ -0,0 +1,82 @@
+---
+status: proposed
+contact: "@eavanvalkenburg"
+date: 2026-09-01
+deciders: ["@eavanvalkenburg"]
+---
+
+# Preserve model refusals with marked Python text content
+
+## Context and Problem Statement
+
+Refusals are provider/model-created output rather than framework execution errors. Python currently
+converts native refusal payloads into ordinary text, which keeps the explanation visible but loses
+the semantic across history, provider replay, Responses-compatible hosting, and DevUI. The framework
+needs a reversible representation without committing prematurely to a new stable content kind.
+
+Microsoft.Extensions.AI represents refusals as `ErrorContent(ErrorCode="Refusal")`. Python does not
+currently treat refusal output as an error: changing to that model would alter visible-text,
+structured-output, and failure-handling behavior beyond preservation of the provider signal.
+
+## Decision Drivers
+
+- Preserve native refusal semantics through streaming and non-streaming paths.
+- Keep refusal explanations visible through existing message and response text APIs.
+- Round-trip native refusal fields where a transport supports them.
+- Preserve history through existing `Content.to_dict()` and `Content.from_dict()` behavior.
+- Gather usage of the semantic before adding a stable public discriminator.
+- Avoid a parallel content hierarchy or provider-wide parsing abstraction.
+
+## Considered Options
+
+- Keep `type="text"` and record `model_output_kind="refusal"` in `additional_properties`.
+- Add a refusal-only boolean marker to text content.
+- Add a nested model-output metadata mapping to text content.
+- Represent refusals as `ErrorContent`, following Microsoft.Extensions.AI.
+- Add a stable `refusal` discriminator to the unified `Content` model.
+
+## Decision Outcome
+
+Keep refusal explanations as ordinary `Content(type="text", text=...)` and add the experimental,
+serializable marker:
+
+```python
+{"model_output_kind": "refusal"}
+```
+
+The flat string value is more general than a refusal-only boolean and cheaper to inspect than a
+nested mapping. It is metadata, not a new public API contract: no `ContentType`, constructor,
+exported constant, or feature-stage entry is added.
+
+`Message.text`, response/update text, string conversion, and text coalescing remain unchanged.
+Structured-output extraction skips marked refusal text so a refusal is not parsed as the requested
+response model.
+
+OpenAI Responses, OpenAI Chat Completions, Foundry hosting, Hosting Responses, and DevUI inspect the
+marker to reconstruct native refusal fields, content parts, and streaming events. Other providers
+and protocols require no refusal-specific behavior because the framework content remains text.
+
+This metadata convention is experimental while usage is gathered. The stable core/OpenAI package
+lifecycle is unchanged because no new public API is introduced; beta and alpha hosting/UI packages
+retain their package-level lifecycle.
+
+### Consequences
+
+- Serialized refusal content keeps the existing text shape and adds
+  `additional_properties.model_output_kind="refusal"`.
+- Existing stored refusals remain ordinary text because they carry no reliable migration signal.
+- Older runtimes preserve and render the text and serialize the additional property, but do not
+  reconstruct native refusal fields until upgraded.
+- Native providers can reconstruct their refusal wire representation from durable history without
+  relying on non-serializable SDK objects.
+- Refusals continue to look like text to middleware and non-native providers.
+- A future decision may promote observed usage to `ErrorContent` semantics or a stable discriminator.
+
+### Rejected alternatives
+
+A boolean marker is slightly shorter but creates a refusal-only key that cannot represent another
+model-output semantic. A nested mapping reserves more structure than the current requirement needs.
+`ErrorContent(ErrorCode="Refusal")` aligns with Microsoft.Extensions.AI but would change Python's
+current visible-text and failure semantics. A stable `refusal` discriminator is clearer and may be
+appropriate later, but commits the public content model before usage and cross-provider behavior are
+understood.
diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py
index 7481d13e134..7f2ebc54360 100644
--- a/python/packages/core/agent_framework/_types.py
+++ b/python/packages/core/agent_framework/_types.py
@@ -399,6 +399,8 @@ class Annotation(TypedDict, total=False):
 
 
 ContentT = TypeVar("ContentT", bound="Content")
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
 
 # endregion
 
@@ -2035,6 +2037,11 @@ def _coalesce_text_content(contents: list[Content], type_str: Literal["text", "t
         if content.type == type_str:
             if first_new_content is None:
                 first_new_content = deepcopy(content)
+            elif type_str == "text" and first_new_content.additional_properties.get(
+                _MODEL_OUTPUT_KIND_KEY
+            ) != content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY):
+                coalesced_contents.append(first_new_content)
+                first_new_content = deepcopy(content)
             else:
                 try:
                     first_new_content += content
@@ -2210,7 +2217,18 @@ def _last_non_empty_assistant_message_text(messages: Sequence[Message]) -> str:
     for message in reversed(messages):
         if message.role != "assistant":
             continue
-        text = "".join((content.text or "") for content in message.contents if content.type == "text")
+        if any(
+            content.type == "text"
+            and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL
+            for content in message.contents
+        ):
+            return ""
+        text = "".join(
+            (content.text or "")
+            for content in message.contents
+            if content.type == "text"
+            and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) != _MODEL_OUTPUT_REFUSAL
+        )
         if text.strip():
             return text
     return ""
diff --git a/python/packages/core/tests/core/test_sessions.py b/python/packages/core/tests/core/test_sessions.py
index 1f418507ace..138e8a0fc18 100644
--- a/python/packages/core/tests/core/test_sessions.py
+++ b/python/packages/core/tests/core/test_sessions.py
@@ -8,7 +8,7 @@
 from collections.abc import Awaitable, Callable, Mapping, Sequence
 from dataclasses import dataclass
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, cast
+from typing import TYPE_CHECKING, Any, Literal, cast
 from unittest.mock import patch
 
 import msgspec
@@ -1542,6 +1542,33 @@ async def test_stores_and_loads_length_prefixed_msgpack(self, tmp_path: Path) ->
         assert first_record_length > 0
         assert raw[4 : 4 + first_record_length] == msgspec.msgpack.encode(messages[0].to_dict())
 
+    @pytest.mark.parametrize("serialization_format", ["json", "msgpack"])
+    async def test_round_trips_marked_refusal_text(
+        self, tmp_path: Path, serialization_format: Literal["json", "msgpack"]
+    ) -> None:
+        provider = FileHistoryProvider(tmp_path, serialization_format=serialization_format)
+        message = Message(
+            role="assistant",
+            contents=[
+                Content.from_text(
+                    "I cannot help with that.",
+                    additional_properties={"model_output_kind": "refusal"},
+                )
+            ],
+        )
+
+        await provider.save_messages("refusal-session", [message])
+        restored = await provider.get_messages("refusal-session")
+
+        assert len(restored) == 1
+        assert restored[0].contents == [
+            Content.from_text(
+                "I cannot help with that.",
+                additional_properties={"model_output_kind": "refusal"},
+            )
+        ]
+        assert restored[0].text == "I cannot help with that."
+
     def test_msgpack_rejects_custom_json_codecs(self, tmp_path: Path) -> None:
         with pytest.raises(ValueError, match="Custom dumps and loads"):
             FileHistoryProvider(tmp_path, serialization_format="msgpack", dumps=json.dumps)
diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py
index 23902d17b90..36b9b90f2fc 100644
--- a/python/packages/core/tests/core/test_types.py
+++ b/python/packages/core/tests/core/test_types.py
@@ -113,6 +113,93 @@ def test_text_content_keyword():
     content.type = "text"  # This should work fine now
 
 
+def test_marked_refusal_text_is_visible_and_serializable() -> None:
+    content = Content.from_text(
+        "I cannot help with that.",
+        additional_properties={"model_output_kind": "refusal"},
+        raw_representation={"type": "refusal"},
+    )
+    message = Message("assistant", [content])
+    chat_update = ChatResponseUpdate(contents=[content])
+    agent_update = AgentResponseUpdate(contents=[content])
+
+    assert content.type == "text"
+    assert str(content) == "I cannot help with that."
+    assert message.text == "I cannot help with that."
+    assert chat_update.text == "I cannot help with that."
+    assert agent_update.text == "I cannot help with that."
+    assert content.to_dict() == {
+        "type": "text",
+        "text": "I cannot help with that.",
+        "additional_properties": {"model_output_kind": "refusal"},
+    }
+    assert Content.from_dict(content.to_dict()) == Content.from_text(
+        "I cannot help with that.",
+        additional_properties={"model_output_kind": "refusal"},
+    )
+
+
+def test_marked_refusal_text_is_excluded_from_structured_output() -> None:
+    response = ChatResponse(
+        messages=[
+            Message(
+                "assistant",
+                [
+                    Content.from_text(
+                        '{"should_not": "parse"}',
+                        additional_properties={"model_output_kind": "refusal"},
+                    )
+                ],
+            )
+        ],
+        response_format={"type": "object"},
+    )
+
+    assert response.text == '{"should_not": "parse"}'
+    assert response.value is None
+
+
+@pytest.mark.parametrize("response_type", [ChatResponse, AgentResponse])
+def test_final_marked_refusal_does_not_fall_back_to_earlier_structured_output(response_type: type) -> None:
+    response = response_type(
+        messages=[
+            Message("assistant", [Content.from_text('{"result": "stale"}')]),
+            Message(
+                "assistant",
+                [
+                    Content.from_text(
+                        "I cannot provide a result.",
+                        additional_properties={"model_output_kind": "refusal"},
+                    )
+                ],
+            ),
+        ],
+        response_format={"type": "object"},
+    )
+
+    assert response.value is None
+
+
+def test_mixed_final_message_with_refusal_has_no_structured_output() -> None:
+    response = ChatResponse(
+        messages=[
+            Message(
+                "assistant",
+                [
+                    Content.from_text('{"result": "partial"}'),
+                    Content.from_text(
+                        "I cannot continue.",
+                        additional_properties={"model_output_kind": "refusal"},
+                    ),
+                ],
+            )
+        ],
+        response_format={"type": "object"},
+    )
+
+    assert response.value is None
+
+
 # region DataContent
 
 
@@ -2013,6 +2100,68 @@ def test_coalesce_text_reasoning_with_different_ids():
     assert contents[1].text == "Thinking B1 B2"
 
 
+def test_agent_response_from_updates_preserves_refusal_marker() -> None:
+    marker = {"model_output_kind": "refusal"}
+    response = AgentResponse.from_updates([
+        AgentResponseUpdate(
+            contents=[Content.from_text("I cannot ", additional_properties=marker)],
+            role="assistant",
+        ),
+        AgentResponseUpdate(
+            contents=[Content.from_text("help.", additional_properties=marker)],
+            role="assistant",
+        ),
+    ])
+
+    assert len(response.messages[0].contents) == 1
+    assert response.messages[0].contents[0].type == "text"
+    assert response.messages[0].contents[0].text == "I cannot help."
+    assert response.messages[0].contents[0].additional_properties == marker
+    assert response.text == "I cannot help."
+
+
+@pytest.mark.parametrize(
+    ("updates", "expected"),
+    [
+        (
+            [
+                Content.from_text("Partial answer."),
+                Content.from_text(
+                    "I cannot continue.",
+                    additional_properties={"model_output_kind": "refusal"},
+                ),
+            ],
+            [
+                ("Partial answer.", {}),
+                ("I cannot continue.", {"model_output_kind": "refusal"}),
+            ],
+        ),
+        (
+            [
+                Content.from_text(
+                    "I cannot continue.",
+                    additional_properties={"model_output_kind": "refusal"},
+                ),
+                Content.from_text("Additional context."),
+            ],
+            [
+                ("I cannot continue.", {"model_output_kind": "refusal"}),
+                ("Additional context.", {}),
+            ],
+        ),
+    ],
+)
+def test_response_coalescing_preserves_model_output_kind_boundaries(
+    updates: list[Content],
+    expected: list[tuple[str, dict[str, str]]],
+) -> None:
+    response = AgentResponse.from_updates([
+        AgentResponseUpdate(contents=[content], role="assistant") for content in updates
+    ])
+
+    assert [(content.text, content.additional_properties) for content in response.messages[0].contents] == expected
+
+
 def test_comprehensive_to_dict_exclude_options():
     """Test to_dict methods with various exclude options for better coverage."""
 
diff --git a/python/packages/devui/AGENTS.md b/python/packages/devui/AGENTS.md
index a3febee0473..18c121ceb46 100644
--- a/python/packages/devui/AGENTS.md
+++ b/python/packages/devui/AGENTS.md
@@ -15,6 +15,10 @@ Interactive developer UI for testing and debugging agents and workflows.
 - **`OpenAIResponse`** / **`OpenAIError`** - OpenAI-compatible response models
 - **`DiscoveryResponse`** / **`EntityInfo`** - Entity discovery models
 
+Text content carrying `additional_properties["model_output_kind"] == "refusal"` is mapped to native
+Responses refusal parts and events. Mapper aggregation, live rendering, and recovery state retain
+text/refusal boundaries by item and content index.
+
 ## Usage
 
 ```python
diff --git a/python/packages/devui/agent_framework_devui/_conversations.py b/python/packages/devui/agent_framework_devui/_conversations.py
index 2f3fe8feb46..8a2d955726f 100644
--- a/python/packages/devui/agent_framework_devui/_conversations.py
+++ b/python/packages/devui/agent_framework_devui/_conversations.py
@@ -26,10 +26,14 @@
     ResponseFunctionToolCallOutputItem,
     ResponseInputFile,
     ResponseInputImage,
+    ResponseOutputRefusal,
 )
 
 from ._utils import infer_media_type
 
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
+
 # Type alias for OpenAI Message role literals
 MessageRole = Literal["unknown", "user", "assistant", "system", "critic", "discriminator", "developer", "tool"]
 
@@ -392,7 +396,7 @@ async def list_items(
             # Process each content item in the message
             # A single Message may produce multiple ConversationItems
             # (e.g., a message with both text and a function call)
-            message_contents: list[TextContent | ResponseInputImage | ResponseInputFile] = []
+            message_contents: list[TextContent | ResponseOutputRefusal | ResponseInputImage | ResponseInputFile] = []
             function_calls: list[ResponseFunctionToolCallItem] = []
             function_results: list[ResponseFunctionToolCallOutputItem] = []
 
@@ -529,6 +533,15 @@ def _to_agent_content(content: dict[str, Any]) -> Content | None:
             text = content.get("text")
             return Content.from_text(text=text) if isinstance(text, str) else None
 
+        if content_type == "refusal":
+            refusal = content.get("refusal")
+            if not isinstance(refusal, str):
+                return None
+            return Content.from_text(
+                text=refusal,
+                additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+            )
+
         if content_type == "input_image":
             detail = content.get("detail", "auto")
             image_properties = {
@@ -598,10 +611,14 @@ def _to_agent_content(content: dict[str, Any]) -> Content | None:
         return None
 
     @staticmethod
-    def _to_openai_content(content: Content) -> TextContent | ResponseInputImage | ResponseInputFile | None:
+    def _to_openai_content(
+        content: Content,
+    ) -> TextContent | ResponseOutputRefusal | ResponseInputImage | ResponseInputFile | None:
         """Convert one supported Agent Framework message part."""
         content_type = content.type
         if content_type == "text":
+            if content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL:
+                return ResponseOutputRefusal(type="refusal", refusal=content.text or "")
             return TextContent(type="text", text=content.text or "")
 
         additional_properties = content.additional_properties or {}
diff --git a/python/packages/devui/agent_framework_devui/_mapper.py b/python/packages/devui/agent_framework_devui/_mapper.py
index 21cad790cfc..f03fc54d3f2 100644
--- a/python/packages/devui/agent_framework_devui/_mapper.py
+++ b/python/packages/devui/agent_framework_devui/_mapper.py
@@ -42,8 +42,10 @@
     ResponseOutputImage,
     ResponseOutputItemAddedEvent,
     ResponseOutputMessage,
+    ResponseOutputRefusal,
     ResponseOutputText,
     ResponseReasoningTextDeltaEvent,
+    ResponseRefusalDeltaEvent,
     ResponseStreamEvent,
     ResponseTextDeltaEvent,
     ResponseTraceEventComplete,
@@ -52,6 +54,8 @@
 )
 
 logger = logging.getLogger(__name__)
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
 
 # Type alias for all possible event types
 EventType = Union[
@@ -84,6 +88,16 @@ def _workflow_output_metadata(event_type: Any, executor_id: Any) -> dict[str, An
     }
 
 
+def _is_refusal_text_content(content: Content) -> bool:
+    return content.type == "text" and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL
+
+
+def _message_content_part(content: Content) -> ResponseOutputText | ResponseOutputRefusal:
+    if _is_refusal_text_content(content):
+        return ResponseOutputRefusal(type="refusal", refusal="")
+    return ResponseOutputText(type="output_text", text="", annotations=[])
+
+
 def _response_usage(usage_details: UsageDetails) -> ResponseUsage:
     input_tokens = int(usage_details.get("input_token_count") or 0)
     output_tokens = int(usage_details.get("output_token_count") or 0)
@@ -295,8 +309,8 @@ async def aggregate_to_response(self, events: Sequence[Any], request: AgentFrame
             # Collect output items in order
             output_items: list[Any] = []
 
-            # Track text content parts per message (keyed by item_id)
-            text_parts_by_message: dict[str, list[str]] = {}
+            # Track text-bearing content parts per message and content index.
+            content_parts_by_message: dict[str, dict[int, dict[str, Any]]] = {}
             message_order: list[str] = []
 
             # Track function calls (keyed by call_id) to accumulate arguments
@@ -311,14 +325,21 @@ async def aggregate_to_response(self, events: Sequence[Any], request: AgentFrame
             for event in events:
                 event_type = getattr(event, "type", None)
 
-                # Handle text deltas - accumulate text per message
-                if event_type == "response.output_text.delta":
+                # Handle text/refusal deltas - accumulate each content part independently.
+                if event_type in {"response.output_text.delta", "response.refusal.delta"}:
                     item_id = getattr(event, "item_id", "default")
-                    if item_id not in text_parts_by_message:
-                        text_parts_by_message[item_id] = []
+                    content_index = getattr(event, "content_index", 0)
+                    parts = content_parts_by_message.setdefault(item_id, {})
+                    part = parts.setdefault(
+                        content_index,
+                        {
+                            "type": "refusal" if event_type == "response.refusal.delta" else "output_text",
+                            "deltas": [],
+                        },
+                    )
                     if item_id not in message_order:
                         message_order.append(item_id)
-                    text_parts_by_message[item_id].append(event.delta)
+                    part["deltas"].append(event.delta)
 
                 # Handle output_item.added events (function_call, message, etc.)
                 elif event_type == "response.output_item.added":
@@ -403,14 +424,26 @@ async def aggregate_to_response(self, events: Sequence[Any], request: AgentFrame
                 if complete_message := complete_messages.get(item_id):
                     output_items.append(complete_message)
                     continue
-                full_content = "".join(text_parts_by_message.get(item_id, []))
-                if not full_content:
+                response_contents: list[ResponseOutputText | ResponseOutputRefusal] = []
+                for part in (
+                    content_parts_by_message.get(item_id, {}).get(index, {})
+                    for index in sorted(content_parts_by_message.get(item_id, {}))
+                ):
+                    full_content = "".join(part.get("deltas", []))
+                    if not full_content:
+                        continue
+                    if part.get("type") == "refusal":
+                        response_contents.append(ResponseOutputRefusal(type="refusal", refusal=full_content))
+                    else:
+                        response_contents.append(
+                            ResponseOutputText(type="output_text", text=full_content, annotations=[])
+                        )
+                if not response_contents:
                     continue
-                response_output_text = ResponseOutputText(type="output_text", text=full_content, annotations=[])
                 response_output_message = ResponseOutputMessage(
                     type="message",
                     role="assistant",
-                    content=[response_output_text],
+                    content=response_contents,
                     id=item_id if item_id != "default" else f"msg_{uuid.uuid4().hex[:8]}",
                     status="completed",
                 )
@@ -698,8 +731,8 @@ async def _convert_agent_update(self, update: Any, context: dict[str, Any]) -> S
             if not hasattr(update, "contents") or not update.contents:
                 return events
 
-            # Check if we're streaming text content
-            has_text_content = any(content.type == "text" for content in update.contents)
+            first_text_content = next((content for content in update.contents if content.type == "text"), None)
+            has_text_content = first_text_content is not None
 
             # Check if we're in an executor context with an existing item
             executor_id = context.get("current_executor_id")
@@ -710,6 +743,7 @@ async def _convert_agent_update(self, update: Any, context: dict[str, Any]) -> S
                 current_metadata = context.get("current_message_workflow_metadata")
                 if current_metadata != workflow_metadata:
                     context.pop("current_message_id", None)
+                    context.pop("current_message_content_type", None)
                     context["current_message_workflow_metadata"] = workflow_metadata
 
             # If we have an executor item, use it for deltas instead of creating a message
@@ -744,6 +778,9 @@ async def _convert_agent_update(self, update: Any, context: dict[str, Any]) -> S
 
                 # Add content part for text
                 context["content_index"] = 0
+                context["current_message_content_type"] = (
+                    "refusal" if _is_refusal_text_content(first_text_content) else "output_text"
+                )
                 events.append(
                     ResponseContentPartAddedEvent(
                         type="response.content_part.added",
@@ -751,7 +788,7 @@ async def _convert_agent_update(self, update: Any, context: dict[str, Any]) -> S
                         content_index=context["content_index"],
                         item_id=message_id,
                         sequence_number=self._next_sequence(context),
-                        part=ResponseOutputText(type="output_text", text="", annotations=[]),
+                        part=_message_content_part(first_text_content),
                     )
                 )
 
@@ -759,16 +796,39 @@ async def _convert_agent_update(self, update: Any, context: dict[str, Any]) -> S
             for content in update.contents:
                 # Special handling for TextContent to use proper delta events
                 if content.type == "text" and "current_message_id" in context:
-                    # Stream text content via proper delta events
-                    delta_event = ResponseTextDeltaEvent(
-                        type="response.output_text.delta",
-                        output_index=context["output_index"],
-                        content_index=context.get("content_index", 0),
-                        item_id=context["current_message_id"],
-                        delta=content.text,
-                        logprobs=[],  # We don't have logprobs from Agent Framework
-                        sequence_number=self._next_sequence(context),
-                    )
+                    requested_content_type = "refusal" if _is_refusal_text_content(content) else "output_text"
+                    if context.get("current_message_content_type") != requested_content_type:
+                        context["content_index"] = context.get("content_index", 0) + 1
+                        context["current_message_content_type"] = requested_content_type
+                        events.append(
+                            ResponseContentPartAddedEvent(
+                                type="response.content_part.added",
+                                output_index=context["output_index"],
+                                content_index=context["content_index"],
+                                item_id=context["current_message_id"],
+                                sequence_number=self._next_sequence(context),
+                                part=_message_content_part(content),
+                            )
+                        )
+                    if _is_refusal_text_content(content):
+                        delta_event = ResponseRefusalDeltaEvent(
+                            type="response.refusal.delta",
+                            output_index=context["output_index"],
+                            content_index=context.get("content_index", 0),
+                            item_id=context["current_message_id"],
+                            delta=content.text,
+                            sequence_number=self._next_sequence(context),
+                        )
+                    else:
+                        delta_event = ResponseTextDeltaEvent(
+                            type="response.output_text.delta",
+                            output_index=context["output_index"],
+                            content_index=context.get("content_index", 0),
+                            item_id=context["current_message_id"],
+                            delta=content.text,
+                            logprobs=[],  # We don't have logprobs from Agent Framework
+                            sequence_number=self._next_sequence(context),
+                        )
                     if workflow_metadata is not None:
                         cast(Any, delta_event).metadata = workflow_metadata
                     events.append(delta_event)
@@ -1344,8 +1404,19 @@ async def _convert_workflow_event(self, event: Any, context: dict[str, Any]) ->
 
     # Content type mappers - implementing our comprehensive mapping plan
 
-    async def _map_text_content(self, content: Any, context: dict[str, Any]) -> ResponseTextDeltaEvent:
+    async def _map_text_content(
+        self, content: Any, context: dict[str, Any]
+    ) -> ResponseTextDeltaEvent | ResponseRefusalDeltaEvent:
         """Map TextContent to ResponseTextDeltaEvent."""
+        if _is_refusal_text_content(content):
+            return ResponseRefusalDeltaEvent(
+                type="response.refusal.delta",
+                delta=content.text,
+                item_id=context["item_id"],
+                output_index=context["output_index"],
+                content_index=context["content_index"],
+                sequence_number=self._next_sequence(context),
+            )
         return self._create_text_delta_event(content.text, context)
 
     async def _map_reasoning_content(self, content: Any, context: dict[str, Any]) -> ResponseReasoningTextDeltaEvent:
diff --git a/python/packages/devui/agent_framework_devui/models/__init__.py b/python/packages/devui/agent_framework_devui/models/__init__.py
index 5dc3ba59b9a..41f2b890c46 100644
--- a/python/packages/devui/agent_framework_devui/models/__init__.py
+++ b/python/packages/devui/agent_framework_devui/models/__init__.py
@@ -17,8 +17,10 @@
     ResponseOutputItemAddedEvent,
     ResponseOutputItemDoneEvent,
     ResponseOutputMessage,
+    ResponseOutputRefusal,
     ResponseOutputText,
     ResponseReasoningTextDeltaEvent,
+    ResponseRefusalDeltaEvent,
     ResponseStreamEvent,
     ResponseTextDeltaEvent,
     ResponseUsage,
@@ -81,8 +83,10 @@
     "ResponseOutputItemAddedEvent",
     "ResponseOutputItemDoneEvent",
     "ResponseOutputMessage",
+    "ResponseOutputRefusal",
     "ResponseOutputText",
     "ResponseReasoningTextDeltaEvent",
+    "ResponseRefusalDeltaEvent",
     "ResponseStreamEvent",
     "ResponseTextDeltaEvent",
     "ResponseTraceEvent",
diff --git a/python/packages/devui/agent_framework_devui/ui/assets/index.js b/python/packages/devui/agent_framework_devui/ui/assets/index.js
index 72d19c5d634..e40e8760262 100644
--- a/python/packages/devui/agent_framework_devui/ui/assets/index.js
+++ b/python/packages/devui/agent_framework_devui/ui/assets/index.js
@@ -1,62 +1,61 @@
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v=u,Sc(t,s),u=(s.flags&128)!==0,v||u?(v=s.stateNode,i=u&&typeof i.getDerivedStateFromError!="function"?null:v.render(),s.flags|=1,t!==null&&u?(s.child=Zo(s,t.child,null,p),s.child=Zo(s,null,i,p)):Zt(t,s,i,p),s.memoizedState=v.state,t=s.child):t=Os(t,s,p),t}function V0(t,s,i,u){return li(),s.flags|=256,Zt(t,s,i,u),s.child}var am={dehydrated:null,treeContext:null,retryLane:0,hydrationErrors:null};function im(t){return{baseLanes:t,cachePool:Ax()}}function lm(t,s,i){return t=t!==null?t.childLanes&~i:0,s&&(t|=In),t}function q0(t,s,i){var u=s.pendingProps,p=!1,v=(s.flags&128)!==0,k;if((k=v)||(k=t!==null&&t.memoizedState===null?!1:($t.current&2)!==0),k&&(p=!0,s.flags&=-129),k=(s.flags&32)!==0,s.flags&=-33,t===null){if(ut){if(p?lr(s):cr(),ut){var O=Et,F;if(F=O){e:{for(F=O,O=ns;F.nodeType!==8;){if(!O){O=null;break e}if(F=Fn(F.nextSibling),F===null){O=null;break 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c=r.children,r=r.fallback,a?(Ds(t),a=t.mode,c=uc({mode:`hidden`,children:c},a),r=ni(r,a,n,null),c.return=t,r.return=t,c.sibling=r,t.child=c,a=t.child,a.memoizedState=oc(n),a.childLanes=sc(e,s,n),t.memoizedState=ac,r):(Ts(t),lc(t,c))}if(l=e.memoizedState,l!==null&&(c=l.dehydrated,c!==null)){if(o)t.flags&256?(Ts(t),t.flags&=-257,t=dc(e,t,n)):t.memoizedState===null?(Ds(t),a=r.fallback,c=t.mode,r=uc({mode:`visible`,children:r.children},c),a=ni(a,c,n,null),a.flags|=2,r.return=t,a.return=t,r.sibling=a,t.child=r,xs(t,e.child,null,n),r=t.child,r.memoizedState=oc(n),r.childLanes=sc(e,s,n),t.memoizedState=ac,t=a):(Ds(t),t.child=e.child,t.flags|=128,t=null);else if(Ts(t),Ud(c)){if(s=c.nextSibling&&c.nextSibling.dataset,s)var u=s.dgst;s=u,r=Error(i(419)),r.stack=``,r.digest=s,Ai({value:r,source:null,stack:null}),t=dc(e,t,n)}else if(qs||Ri(e,t,n,!1),s=(n&e.childLanes)!==0,qs||s){if(s=Tl,s!==null&&(r=n&-n,r=r&42?1:Ve(r),r=(r&(s.suspendedLanes|n))===0?r:0,r!==0&&r!==l.retryLane))throw l.retryLane=r,Kr(e,r),nu(s,e,r),Ks;c.data===`$?`||pu(),t=dc(e,t,n)}else c.data===`$?`?(t.flags|=192,t.child=e.child,t=null):(e=l.treeContext,yi=Gd(c.nextSibling),vi=t,bi=!0,xi=null,Si=!1,e!==null&&(li[ui++]=fi,li[ui++]=pi,li[ui++]=di,fi=e.id,pi=e.overflow,di=t),t=lc(t,r.children),t.flags|=4096);return t}return a?(Ds(t),a=r.fallback,c=t.mode,l=e.child,u=l.sibling,r=$r(l,{mode:`hidden`,children:r.children}),r.subtreeFlags=l.subtreeFlags&65011712,u===null?(a=ni(a,c,n,null),a.flags|=2):a=$r(u,a),a.return=t,r.return=t,r.sibling=a,t.child=r,r=a,a=t.child,c=e.child.memoizedState,c===null?c=oc(n):(l=c.cachePool,l===null?l=sa():(u=qi._currentValue,l=l.parent===u?l:{parent:u,pool:u}),c={baseLanes:c.baseLanes|n,cachePool:l}),a.memoizedState=c,a.childLanes=sc(e,s,n),t.memoizedState=ac,r):(Ts(t),n=e.child,e=n.sibling,n=$r(n,{mode:`visible`,children:r.children}),n.return=t,n.sibling=null,e!==null&&(s=t.deletions,s===null?(t.deletions=[e],t.flags|=16):s.push(e)),t.child=n,t.memoizedState=null,n)}function lc(e,t){return t=uc({mode:`visible`,children:t},e.mode),t.return=e,e.child=t}function uc(e,t){return e=Zr(22,e,null,t),e.lanes=0,e.stateNode={_visibility:1,_pendingMarkers:null,_retryCache:null,_transitions:null},e}function dc(e,t,n){return xs(t,e.child,null,n),e=lc(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function fc(e,t,n){e.lanes|=t;var r=e.alternate;r!==null&&(r.lanes|=t),Ii(e.return,t,n)}function pc(e,t,n,r,i){var a=e.memoizedState;a===null?e.memoizedState={isBackwards:t,rendering:null,renderingStartTime:0,last:r,tail:n,tailMode:i}:(a.isBackwards=t,a.rendering=null,a.renderingStartTime=0,a.last=r,a.tail=n,a.tailMode=i)}function mc(e,t,n){var r=t.pendingProps,i=r.revealOrder,a=r.tail;if(Js(e,t,r.children,n),r=ks.current,r&2)r=r&1|2,t.flags|=128;else{if(e!==null&&e.flags&128)a:for(e=t.child;e!==null;){if(e.tag===13)e.memoizedState!==null&&fc(e,n,t);else if(e.tag===19)fc(e,n,t);else if(e.child!==null){e.child.return=e,e=e.child;continue}if(e===t)break a;for(;e.sibling===null;){if(e.return===null||e.return===t)break a;e=e.return}e.sibling.return=e.return,e=e.sibling}r&=1}switch(H(ks,r),i){case`forwards`:for(n=t.child,i=null;n!==null;)e=n.alternate,e!==null&&As(e)===null&&(i=n),n=n.sibling;n=i,n===null?(i=t.child,t.child=null):(i=n.sibling,n.sibling=null),pc(t,!1,i,n,a);break;case`backwards`:for(n=null,i=t.child,t.child=null;i!==null;){if(e=i.alternate,e!==null&&As(e)===null){t.child=i;break}e=i.sibling,i.sibling=n,n=i,i=e}pc(t,!0,n,null,a);break;case`together`:pc(t,!1,null,null,void 0);break;default:t.memoizedState=null}return t.child}function hc(e,t,n){if(e!==null&&(t.dependencies=e.dependencies),Nl|=t.lanes,(n&t.childLanes)===0)if(e!==null){if(Ri(e,t,n,!1),(n&t.childLanes)===0)return null}else return null;if(e!==null&&t.child!==e.child)throw Error(i(153));if(t.child!==null){for(e=t.child,n=$r(e,e.pendingProps),t.child=n,n.return=t;e.sibling!==null;)e=e.sibling,n=n.sibling=$r(e,e.pendingProps),n.return=t;n.sibling=null}return t.child}function gc(e,t){return(e.lanes&t)===0?(e=e.dependencies,!!(e!==null&&zi(e))):!0}function _c(e,t,n){switch(t.tag){case 3:ie(t,t.stateNode.containerInfo),Pi(t,qi,e.memoizedState.cache),Oi();break;case 27:case 5:oe(t);break;case 4:ie(t,t.stateNode.containerInfo);break;case 10:Pi(t,t.type,t.memoizedProps.value);break;case 13:var r=t.memoizedState;if(r!==null)return r.dehydrated===null?(n&t.child.childLanes)===0?(Ts(t),e=hc(e,t,n),e===null?null:e.sibling):cc(e,t,n):(Ts(t),t.flags|=128,null);Ts(t);break;case 19:var i=(e.flags&128)!=0;if(r=(n&t.childLanes)!==0,r||=(Ri(e,t,n,!1),(n&t.childLanes)!==0),i){if(r)return mc(e,t,n);t.flags|=128}if(i=t.memoizedState,i!==null&&(i.rendering=null,i.tail=null,i.lastEffect=null),H(ks,ks.current),r)break;return null;case 22:case 23:return t.lanes=0,Qs(e,t,n);case 24:Pi(t,qi,e.memoizedState.cache)}return hc(e,t,n)}function vc(e,t,n){if(e!==null)if(e.memoizedProps!==t.pendingProps)qs=!0;else{if(!gc(e,n)&&!(t.flags&128))return qs=!1,_c(e,t,n);qs=!!(e.flags&131072)}else qs=!1,bi&&t.flags&1048576&&hi(t,ci,t.index);switch(t.lanes=0,t.tag){case 16:a:{e=t.pendingProps;var r=t.elementType,a=r._init;if(r=a(r._payload),t.type=r,typeof r==`function`)Qr(r)?(e=Fs(r,e),t.tag=1,t=rc(null,t,r,e,n)):(t.tag=0,t=tc(null,t,r,e,n));else{if(r!=null){if(a=r.$$typeof,a===w){t.tag=11,t=Ys(null,t,r,e,n);break a}else if(a===D){t.tag=14,t=Xs(null,t,r,e,n);break a}}throw t=P(r)||r,Error(i(306,t,``))}}return t;case 0:return tc(e,t,t.type,t.pendingProps,n);case 1:return r=t.type,a=Fs(r,t.pendingProps),rc(e,t,r,a,n);case 3:a:{if(ie(t,t.stateNode.containerInfo),e===null)throw Error(i(387));r=t.pendingProps;var o=t.memoizedState;a=o.element,ba(e,t),Da(t,r,null,n);var s=t.memoizedState;if(r=s.cache,Pi(t,qi,r),r!==o.cache&&Li(t,[qi],n,!0),Ea(),r=s.element,o.isDehydrated)if(o={element:r,isDehydrated:!1,cache:s.cache},t.updateQueue.baseState=o,t.memoizedState=o,t.flags&256){t=ic(e,t,r,n);break a}else if(r!==a){a=zr(Error(i(424)),t),Ai(a),t=ic(e,t,r,n);break a}else{switch(e=t.stateNode.containerInfo,e.nodeType){case 9:e=e.body;break;default:e=e.nodeName===`HTML`?e.ownerDocument.body:e}for(yi=Gd(e.firstChild),vi=t,bi=!0,xi=null,Si=!0,n=Ss(t,null,r,n),t.child=n;n;)n.flags=n.flags&-3|4096,n=n.sibling}else{if(Oi(),r===a){t=hc(e,t,n);break a}Js(e,t,r,n)}t=t.child}return t;case 26:return ec(e,t),e===null?(n=ff(t.type,null,t.pendingProps,null))?t.memoizedState=n:bi||(n=t.type,e=t.pendingProps,r=Dd(ne.current).createElement(n),r[Ge]=t,r[Ke]=e,wd(r,n,e),it(r),t.stateNode=r):t.memoizedState=ff(t.type,e.memoizedProps,t.pendingProps,e.memoizedState),null;case 27:return oe(t),e===null&&bi&&(r=t.stateNode=Jd(t.type,t.pendingProps,ne.current),vi=t,Si=!0,a=yi,Rd(t.type)?(Kd=a,yi=Gd(r.firstChild)):yi=a),Js(e,t,t.pendingProps.children,n),ec(e,t),e===null&&(t.flags|=4194304),t.child;case 5:return e===null&&bi&&((a=r=yi)&&(r=Vd(r,t.type,t.pendingProps,Si),r===null?a=!1:(t.stateNode=r,vi=t,yi=Gd(r.firstChild),Si=!1,a=!0)),a||wi(t)),oe(t),a=t.type,o=t.pendingProps,s=e===null?null:e.memoizedProps,r=o.children,Ad(a,o)?r=null:s!==null&&Ad(a,s)&&(t.flags|=32),t.memoizedState!==null&&(a=Ja(e,t,Za,null,null,n),If._currentValue=a),ec(e,t),Js(e,t,r,n),t.child;case 6:return e===null&&bi&&((e=n=yi)&&(n=Hd(n,t.pendingProps,Si),n===null?e=!1:(t.stateNode=n,vi=t,yi=null,e=!0)),e||wi(t)),null;case 13:return cc(e,t,n);case 4:return ie(t,t.stateNode.containerInfo),r=t.pendingProps,e===null?t.child=xs(t,null,r,n):Js(e,t,r,n),t.child;case 11:return Ys(e,t,t.type,t.pendingProps,n);case 7:return Js(e,t,t.pendingProps,n),t.child;case 8:return Js(e,t,t.pendingProps.children,n),t.child;case 12:return Js(e,t,t.pendingProps.children,n),t.child;case 10:return r=t.pendingProps,Pi(t,t.type,r.value),Js(e,t,r.children,n),t.child;case 9:return a=t.type._context,r=t.pendingProps.children,Bi(t),a=Vi(a),r=r(a),t.flags|=1,Js(e,t,r,n),t.child;case 14:return Xs(e,t,t.type,t.pendingProps,n);case 15:return Zs(e,t,t.type,t.pendingProps,n);case 19:return mc(e,t,n);case 31:return r=t.pendingProps,n=t.mode,r={mode:r.mode,children:r.children},e===null?(n=uc(r,n),n.ref=t.ref,t.child=n,n.return=t,t=n):(n=$r(e.child,r),n.ref=t.ref,t.child=n,n.return=t,t=n),t;case 22:return Qs(e,t,n);case 24:return Bi(t),r=Vi(qi),e===null?(a=aa(),a===null&&(a=Tl,o=Ji(),a.pooledCache=o,o.refCount++,o!==null&&(a.pooledCacheLanes|=n),a=o),t.memoizedState={parent:r,cache:a},ya(t),Pi(t,qi,a)):((e.lanes&n)!==0&&(ba(e,t),Da(t,null,null,n),Ea()),a=e.memoizedState,o=t.memoizedState,a.parent===r?(r=o.cache,Pi(t,qi,r),r!==a.cache&&Li(t,[qi],n,!0)):(a={parent:r,cache:r},t.memoizedState=a,t.lanes===0&&(t.memoizedState=t.updateQueue.baseState=a),Pi(t,qi,r))),Js(e,t,t.pendingProps.children,n),t.child;case 29:throw t.pendingProps}throw Error(i(156,t.tag))}function yc(e){e.flags|=4}function bc(e,t){if(t.type!==`stylesheet`||t.state.loading&4)e.flags&=-16777217;else if(e.flags|=16777216,!Df(t)){if(t=Cs.current,t!==null&&((El&4194048)===El?ws!==null:(El&62914560)!==El&&!(El&536870912)||t!==ws))throw ha=da,la;e.flags|=8192}}function xc(e,t){t!==null&&(e.flags|=4),e.flags&16384&&(t=e.tag===22?536870912:Ie(),e.lanes|=t,Ll|=t)}function Sc(e,t){if(!bi)switch(e.tailMode){case`hidden`:t=e.tail;for(var n=null;t!==null;)t.alternate!==null&&(n=t),t=t.sibling;n===null?e.tail=null:n.sibling=null;break;case`collapsed`:n=e.tail;for(var r=null;n!==null;)n.alternate!==null&&(r=n),n=n.sibling;r===null?t||e.tail===null?e.tail=null:e.tail.sibling=null:r.sibling=null}}function Cc(e){var t=e.alternate!==null&&e.alternate.child===e.child,n=0,r=0;if(t)for(var i=e.child;i!==null;)n|=i.lanes|i.childLanes,r|=i.subtreeFlags&65011712,r|=i.flags&65011712,i.return=e,i=i.sibling;else for(i=e.child;i!==null;)n|=i.lanes|i.childLanes,r|=i.subtreeFlags,r|=i.flags,i.return=e,i=i.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function wc(e,t,n){var r=t.pendingProps;switch(_i(t),t.tag){case 31:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Cc(t),null;case 1:return Cc(t),null;case 3:return n=t.stateNode,r=null,e!==null&&(r=e.memoizedState.cache),t.memoizedState.cache!==r&&(t.flags|=2048),Fi(qi),ae(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),(e===null||e.child===null)&&(Di(t)?yc(t):e===null||e.memoizedState.isDehydrated&&!(t.flags&256)||(t.flags|=1024,ki())),Cc(t),null;case 26:return n=t.memoizedState,e===null?(yc(t),n===null?(Cc(t),t.flags&=-16777217):(Cc(t),bc(t,n))):n?n===e.memoizedState?(Cc(t),t.flags&=-16777217):(yc(t),Cc(t),bc(t,n)):(e.memoizedProps!==r&&yc(t),Cc(t),t.flags&=-16777217),null;case 27:se(t),n=ne.current;var a=t.type;if(e!==null&&t.stateNode!=null)e.memoizedProps!==r&&yc(t);else{if(!r){if(t.stateNode===null)throw Error(i(166));return Cc(t),null}e=U.current,Di(t)?Ti(t,e):(e=Jd(a,r,n),t.stateNode=e,yc(t))}return Cc(t),null;case 5:if(se(t),n=t.type,e!==null&&t.stateNode!=null)e.memoizedProps!==r&&yc(t);else{if(!r){if(t.stateNode===null)throw Error(i(166));return Cc(t),null}if(e=U.current,Di(t))Ti(t,e);else{switch(a=Dd(ne.current),e){case 1:e=a.createElementNS(`http://www.w3.org/2000/svg`,n);break;case 2:e=a.createElementNS(`http://www.w3.org/1998/Math/MathML`,n);break;default:switch(n){case`svg`:e=a.createElementNS(`http://www.w3.org/2000/svg`,n);break;case`math`:e=a.createElementNS(`http://www.w3.org/1998/Math/MathML`,n);break;case`script`:e=a.createElement(`div`),e.innerHTML=`<script><\/script>`,e=e.removeChild(e.firstChild);break;case`select`:e=typeof r.is==`string`?a.createElement(`select`,{is:r.is}):a.createElement(`select`),r.multiple?e.multiple=!0:r.size&&(e.size=r.size);break;default:e=typeof r.is==`string`?a.createElement(n,{is:r.is}):a.createElement(n)}}e[Ge]=t,e[Ke]=r;a:for(a=t.child;a!==null;){if(a.tag===5||a.tag===6)e.appendChild(a.stateNode);else if(a.tag!==4&&a.tag!==27&&a.child!==null){a.child.return=a,a=a.child;continue}if(a===t)break a;for(;a.sibling===null;){if(a.return===null||a.return===t)break a;a=a.return}a.sibling.return=a.return,a=a.sibling}t.stateNode=e;a:switch(wd(e,n,r),n){case`button`:case`input`:case`select`:case`textarea`:e=!!r.autoFocus;break a;case`img`:e=!0;break a;default:e=!1}e&&yc(t)}}return Cc(t),t.flags&=-16777217,null;case 6:if(e&&t.stateNode!=null)e.memoizedProps!==r&&yc(t);else{if(typeof r!=`string`&&t.stateNode===null)throw Error(i(166));if(e=ne.current,Di(t)){if(e=t.stateNode,n=t.memoizedProps,r=null,a=vi,a!==null)switch(a.tag){case 27:case 5:r=a.memoizedProps}e[Ge]=t,e=!!(e.nodeValue===n||r!==null&&!0===r.suppressHydrationWarning||bd(e.nodeValue,n)),e||wi(t)}else e=Dd(e).createTextNode(r),e[Ge]=t,t.stateNode=e}return Cc(t),null;case 13:if(r=t.memoizedState,e===null||e.memoizedState!==null&&e.memoizedState.dehydrated!==null){if(a=Di(t),r!==null&&r.dehydrated!==null){if(e===null){if(!a)throw Error(i(318));if(a=t.memoizedState,a=a===null?null:a.dehydrated,!a)throw Error(i(317));a[Ge]=t}else Oi(),!(t.flags&128)&&(t.memoizedState=null),t.flags|=4;Cc(t),a=!1}else a=ki(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=a),a=!0;if(!a)return t.flags&256?(Os(t),t):(Os(t),null)}if(Os(t),t.flags&128)return t.lanes=n,t;if(n=r!==null,e=e!==null&&e.memoizedState!==null,n){r=t.child,a=null,r.alternate!==null&&r.alternate.memoizedState!==null&&r.alternate.memoizedState.cachePool!==null&&(a=r.alternate.memoizedState.cachePool.pool);var 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Ah(()=>Promise.resolve().then(()=>(Dd(),Ed)).then(e=>({oaiMode:e.useDevUIStore.getState().oaiMode})),void 0,import.meta.url),n={};t.enabled&&(n[`X-Proxy-Backend`]=`openai`);let r=await this.request(`/v1/conversations`,{method:`POST`,headers:n,body:JSON.stringify({metadata:e})});return{id:r.id,object:`conversation`,created_at:r.created_at,metadata:r.metadata}}async listConversations(e){let t=e?`/v1/conversations?agent_id=${encodeURIComponent(e)}`:`/v1/conversations`,n=await this.request(t);return{data:n.data.map(e=>({id:e.id,object:`conversation`,created_at:e.created_at,metadata:e.metadata})),has_more:n.has_more}}async getConversation(e){let t=await this.request(`/v1/conversations/${e}`);return{id:t.id,object:`conversation`,created_at:t.created_at,metadata:t.metadata}}async deleteConversation(e){try{return await this.request(`/v1/conversations/${e}`,{method:`DELETE`}),xh(e),!0}catch{return!1}}async listConversationItems(e,t){let n=new URLSearchParams;t?.limit&&n.set(`limit`,t.limit.toString()),t?.after&&n.set(`after`,t.after),t?.order&&n.set(`order`,t.order);let r=n.toString(),i=`/v1/conversations/${e}/items${r?`?${r}`:``}`;return this.request(i)}async getConversationItem(e,t){let n=`/v1/conversations/${e}/items/${t}`;return this.request(n)}async deleteConversationItem(e,t){let n=await fetch(`${this.baseUrl}/v1/conversations/${e}/items/${t}`,{method:`DELETE`});if(!n.ok)throw Error(`Failed to delete item: ${n.statusText}`)}async*streamOpenAIResponse(e,t,n,r){let{oaiMode:i}=await Ah(()=>Promise.resolve().then(()=>(Dd(),Ed)).then(e=>({oaiMode:e.useDevUIStore.getState().oaiMode})),void 0,import.meta.url);i.enabled&&(e.model=i.model,i.temperature!==void 0&&(e.temperature=i.temperature),i.max_output_tokens!==void 0&&(e.max_output_tokens=i.max_output_tokens),i.top_p!==void 0&&(e.top_p=i.top_p),i.instructions!==void 0&&(e.instructions=i.instructions),i.reasoning_effort!==void 0&&(e.reasoning={effort:i.reasoning_effort}));let a=-1,o=0,s=!1,c=r,l,u=0,d=t?bh(t):null,f=d?{...d}:null,p=(e=!1)=>{if(!t||!f)return;let n=Date.now();!e&&n-u<Ph||(u=n,yh({...f,timestamp:n}))},m=e=>{!t||!c||(f=vh(f??_h({conversationId:t,responseId:c,lastMessageId:l,lastSequenceNumber:a,accumulatedText:d?.accumulatedText,accumulatedTextIsPreview:d?.accumulatedTextIsPreview,accumulatedTextType:d?.accumulatedTextType,accumulatedParts:d?.accumulatedParts}),e,c,l),p(!((e.type===`response.output_text.delta`||e.type===`response.refusal.delta`)&&`delta`in e&&typeof e.delta==`string`&&e.delta.length>0)))};for(d&&(r||(c=d.responseId),a=d.lastSequenceNumber,l=d.lastMessageId,s=d.lastSequenceNumber>=0||!!d.accumulatedText);o<=Nh;)try{let r;if(c){let e=new URLSearchParams;e.set(`stream`,`true`),a>=0&&e.set(`starting_after`,a.toString());let t=`${this.baseUrl}/v1/responses/${c}?${e.toString()}`,i={Accept:`text/event-stream`};this.authToken&&(i.Authorization=`Bearer ${this.authToken}`),r=await 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o.read();if(e){t&&(xh(t),f=null);return}let i=p.decode(r,{stream:!0});h+=i;let g=h.split(`
+`);h=g.pop()||``;for(let e of g)if(e.startsWith(`data: `)){let n=e.slice(6);if(n===`[DONE]`){t&&(xh(t),f=null);return}try{let e=JSON.parse(n);if(`response`in e&&e.response&&typeof e.response==`object`&&`id`in e.response){let t=e.response.id;(!c||c!==t)&&(c=t)}else if(`id`in e&&typeof e.id==`string`&&e.id.startsWith(`resp_`)){let t=e.id;(!c||c!==t)&&(c=t)}`item_id`in e&&e.item_id&&(l=e.item_id);let r=`sequence_number`in e?e.sequence_number:void 0;if(r!==void 0)if(s&&r<=1&&a>1)t&&xh(t),d=null,f=null,u=0,yield{type:`error`,message:`Connection lost - previous response failed. Starting new response.`},a=r,s=!0,m(e),yield e;else if(r<=a)continue;else a=r,s=!0,m(e),yield e;else s=!0,m(e),yield e}catch(e){console.error(`Failed to parse OpenAI SSE event:`,e)}}}}finally{o.releaseLock()}}catch(e){let n=e instanceof Error?e.message:String(e);if(Th(e))throw t&&(xh(t),f=null),e;if(n===`UNAUTHORIZED`||n.startsWith(`CLIENT_ERROR:`))throw e;if(o++,o>Nh)throw Error(`Connection failed after ${Nh} retry attempts: ${n}`);await Ih(Math.min(Mh*2**(o-1),3e4))}}async*streamAgentExecutionOpenAI(e,t,n,r){let i={metadata:{entity_id:e},input:t.input,stream:!0,conversation:t.conversation_id};return yield*this.streamAgentExecutionOpenAIDirect(e,i,t.conversation_id,n,r)}async*streamAgentExecutionOpenAIDirect(e,t,n,r,i){yield*this.streamOpenAIResponse(t,n,r,i)}async*streamWorkflowExecutionOpenAI(e,t,n){let r={metadata:{entity_id:e},input:JSON.stringify(t.input_data||{}),stream:!0,conversation:t.conversation_id,extra_body:t.checkpoint_id?{entity_id:e,checkpoint_id:t.checkpoint_id}:void 0};yield*this.streamOpenAIResponse(r,t.conversation_id,n)}async runAgentSync(e,t){let{oaiMode:n}=await Ah(()=>Promise.resolve().then(()=>(Dd(),Ed)).then(e=>({oaiMode:e.useDevUIStore.getState().oaiMode})),void 0,import.meta.url),r={metadata:{entity_id:e},input:t.input,stream:!1,conversation:t.conversation_id};n.enabled&&(r.model=n.model,n.temperature!==void 0&&(r.temperature=n.temperature),n.max_output_tokens!==void 0&&(r.max_output_tokens=n.max_output_tokens));let i={};return n.enabled&&(i[`X-Proxy-Backend`]=`openai`),this.request(`/v1/responses`,{method:`POST`,headers:i,body:JSON.stringify(r)})}async runWorkflowSync(e,t){let n={metadata:{entity_id:e},input:JSON.stringify(t.input_data||{}),stream:!1,conversation:t.conversation_id,extra_body:t.checkpoint_id?{entity_id:e,checkpoint_id:t.checkpoint_id}:void 0};return this.request(`/v1/responses`,{method:`POST`,body:JSON.stringify(n)})}clearStreamingState(e){xh(e)}async*streamDeployment(e){let t=await fetch(`${this.baseUrl}/v1/deployments`,{method:`POST`,headers:{"Content-Type":`application/json`},body:JSON.stringify({...e,stream:!0})});if(!t.ok)throw Error(`Deployment failed: ${t.statusText}`);let n=t.body?.getReader();if(!n)throw Error(`No response body`);let r=new TextDecoder,i=``;try{for(;;){let{done:e,value:t}=await n.read();if(e)break;i+=r.decode(t,{stream:!0});let a=i.split(`
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 FROM python:3.11-slim
 
 WORKDIR /app
@@ -73,11 +72,11 @@ EXPOSE 8080
 
 # Run DevUI server
 CMD ["devui", ".", "--port", "8080", "--host", "0.0.0.0"]
-`,I=`# docker-compose.yml
+`,ee=`# docker-compose.yml
 version: '3.8'
 
 services:
-  ${r.toLowerCase().replace(/\s+/g,"-")}:
+  ${n.toLowerCase().replace(/\s+/g,`-`)}:
     build: .
     environment:
       # OpenAI
@@ -92,68 +91,65 @@ services:
     ports:
       - "8080:8080"
     restart: unless-stopped
-`,$=`# requirements.txt
+`,F=`# requirements.txt
 agent-framework-devui>=0.1.0
 agent-framework>=0.1.0
 # Chat clients (install what you need)
 openai>=1.0.0
 # azure-openai
 # anthropic
-`;return o.jsx(Lr,{open:e,onOpenChange:n,children:o.jsxs(Pr,{className:"w-[800px] max-w-[90vw]",children:[o.jsx(Eo,{onClose:n}),o.jsxs($r,{className:"p-6 pb-2",children:[o.jsxs(Hr,{className:"flex items-center gap-2",children:[o.jsx(Jh,{className:"h-5 w-5"}),"Deploy ",r]}),o.jsx("p",{className:"text-sm text-muted-foreground pt-1",children:"Get started with containerizing your agent for deployment."})]}),o.jsxs("div",{className:"flex border-b px-6",children:[o.jsxs("button",{onClick:()=>f("docker"),className:`px-4 py-2 text-sm font-medium transition-colors relative ${d==="docker"?"text-foreground":"text-muted-foreground hover:text-foreground"}`,children:[o.jsx(zA,{className:"h-4 w-4 mr-2 inline"}),"Docker",d==="docker"&&o.jsx("div",{className:"absolute bottom-0 left-0 right-0 h-0.5 bg-primary"})]}),c&&o.jsxs("button",{onClick:()=>f("azure"),className:`px-4 py-2 text-sm font-medium transition-colors relative ${d==="azure"?"text-foreground":"text-muted-foreground 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font-medium",children:"requirements.txt"}),o.jsx(He,{size:"sm",variant:"ghost",onClick:()=>R($,"requirements"),children:m==="requirements"?o.jsxs(o.Fragment,{children:[o.jsx(an,{className:"h-4 w-4 mr-1 text-green-500"}),"Copied!"]}):o.jsxs(o.Fragment,{children:[o.jsx(mo,{className:"h-4 w-4 mr-1"}),"Copy"]})})]}),o.jsx("pre",{className:"bg-muted p-3 rounded-md text-xs overflow-x-auto border",children:$})]}),o.jsxs("div",{className:"bg-blue-50 dark:bg-blue-950/50 border border-blue-200 dark:border-blue-800 rounded-md p-3",children:[o.jsx("h4",{className:"text-sm font-semibold mb-2",children:"Quick Start"}),o.jsxs("ol",{className:"text-xs space-y-1 list-decimal list-inside text-muted-foreground",children:[o.jsx("li",{children:"Save the files above to your project directory"}),o.jsxs("li",{children:["Build:"," ",o.jsxs("code",{className:"bg-muted px-1 rounded",children:["docker build -t ",r.toLowerCase(),"-agent ."]})]}),o.jsxs("li",{children:["Run:"," ",o.jsx("code",{className:"bg-muted px-1 rounded",children:"docker-compose up"})]}),o.jsx("li",{children:"Your agent is now running in a container!"})]})]}),o.jsxs("div",{className:"bg-amber-50 dark:bg-amber-950/50 border border-amber-200 dark:border-amber-800 rounded-md p-3",children:[o.jsx("h4",{className:"text-sm font-semibold mb-2 text-amber-900 dark:text-amber-100",children:"⚠️ Production Considerations"}),o.jsxs("ul",{className:"text-xs space-y-1 list-disc list-inside text-amber-800 dark:text-amber-200",children:[o.jsxs("li",{children:[o.jsx("strong",{children:"In-memory state:"})," Conversations are lost when container restarts"]}),o.jsxs("li",{children:[o.jsx("strong",{children:"No authentication:"})," Add reverse proxy (nginx, Caddy) with auth for production"]}),o.jsxs("li",{children:[o.jsx("strong",{children:"Security:"})," Use Azure Key Vault for secrets management"]}),o.jsxs("li",{children:[o.jsx("strong",{children:"Scaling:"})," Single instance only due to in-memory conversation 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max-h-screen`,children:[(0,T.jsx)(Od,{agents:u,workflows:d,entities:f,selectedItem:p,onSelect:le,onBrowseGallery:()=>te(!0),isLoading:h,onSettingsClick:()=>U(!0)}),(0,T.jsx)(`div`,{className:`flex flex-1 overflow-hidden`,children:B?(0,T.jsx)(`div`,{className:`flex-1 w-full`,children:(0,T.jsx)(tg,{variant:`route`,onClose:()=>te(!1),hasExistingEntities:u.length>0||d.length>0})}):u.length===0&&d.length===0?(0,T.jsx)(tg,{variant:`inline`}):(0,T.jsxs)(T.Fragment,{children:[(0,T.jsx)(`div`,{className:`flex-1 min-w-0`,children:p?p.type===`agent`?(0,T.jsx)(lv,{selectedAgent:p,onDebugEvent:de}):(0,T.jsx)(vj,{selectedWorkflow:p,onDebugEvent:de}):(0,T.jsx)(`div`,{className:`flex-1 flex items-center justify-center text-muted-foreground`,children:`Select an agent or workflow to get started.`})}),v===`developer`&&k?(0,T.jsxs)(T.Fragment,{children:[(0,T.jsx)(`div`,{className:`w-1 cursor-col-resize flex-shrink-0 relative group transition-colors duration-200 ease-in-out ${N?`bg-primary/40`:`bg-border 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pointer-events-none`,children:[(0,T.jsx)(`div`,{className:`text-xs text-muted-foreground select-none`,style:{writingMode:`vertical-rl`,transform:`rotate(180deg)`},children:`Debug Panel`}),M.length>0&&(0,T.jsx)(`div`,{className:`bg-primary text-primary-foreground rounded-full w-5 h-5 flex items-center justify-center`,style:{fontSize:`10px`},children:M.length})]})]}):(0,T.jsxs)(T.Fragment,{children:[(0,T.jsx)(Fm,{events:M,isStreaming:!1,onMinimize:()=>ee(!0)}),(0,T.jsx)(`div`,{className:`border-t bg-muted/30 px-3 py-2.5 flex-shrink-0`,children:(0,T.jsxs)(K,{onClick:()=>ne(!0),className:`w-full`,variant:`outline`,size:`sm`,children:[(0,T.jsx)(du,{className:`h-3 w-3 mr-2 flex-shrink-0`}),(0,T.jsx)(`span`,{className:`truncate text-xs`,children:m&&p?.deployment_supported?`Deploy to Azure`:`Deployment Guide`})]})})]})})]}):v===`developer`?(0,T.jsx)(`div`,{className:`flex-shrink-0`,children:(0,T.jsx)(K,{variant:`ghost`,size:`sm`,onClick:()=>P(!0),className:`h-full w-10 rounded-none 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Showing first available entity instead.`,type:`info`,onClose:()=>re(!1)}),(0,T.jsx)(bj,{toasts:ie,onRemove:oe})]})}function Cj({children:e,attribute:t=`class`,defaultTheme:n=`dark`,enableSystem:r=!0,disableTransitionOnChange:i=!0,...a}){return(0,T.jsx)(Gu,{attribute:t,defaultTheme:n,enableSystem:r,disableTransitionOnChange:i,...a,children:e})}Ch(),(0,b.createRoot)(document.getElementById(`root`)).render((0,T.jsx)(y.StrictMode,{children:(0,T.jsx)(Cj,{attribute:`class`,defaultTheme:`dark`,enableSystem:!0,disableTransitionOnChange:!0,children:(0,T.jsx)(Sj,{})})}));
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diff --git a/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx b/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
index e3eb244b8bb..248d644644b 100644
--- a/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
+++ b/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
@@ -40,21 +40,53 @@ import type {
   ExtendedResponseStreamEvent,
 } from "@/types";
 import { useDevUIStore } from "@/stores";
-import { loadStreamingState, type StreamingState } from "@/services/streaming-state";
+import {
+  applyTextDeltaToParts,
+  loadStreamingState,
+  type StreamingState,
+  type StreamingTextPart,
+} from "@/services/streaming-state";
 
 type DebugEventHandler = (event: ExtendedResponseStreamEvent | "clear") => void;
 
 const ASSISTANT_TEXT_RENDER_INTERVAL_MS = 50;
 const STREAMING_PREVIEW_PREFIX = "[Earlier streaming content omitted after refresh]\n\n";
 
-function getRestoredStreamingText(state: StreamingState): string {
-  if (!state.accumulatedText) {
-    return "";
+function getRestoredStreamingParts(state: StreamingState): StreamingTextPart[] {
+  const parts = state.accumulatedParts?.map((part) => ({ ...part })) ??
+    (state.accumulatedText
+      ? [{
+          itemId: state.lastMessageId,
+          contentIndex: 0,
+          type: state.accumulatedTextType ?? "text",
+          text: state.accumulatedText,
+        } satisfies StreamingTextPart]
+      : []);
+  if (state.accumulatedTextIsPreview) {
+    parts.unshift({
+      itemId: state.lastMessageId,
+      contentIndex: -1,
+      type: "text",
+      text: STREAMING_PREVIEW_PREFIX,
+    });
+  }
+  return parts;
+}
+
+function createStreamingMessageContent(
+  text: string,
+  type: "text" | "refusal"
+): import("@/types/openai").MessageContent {
+  if (type === "refusal") {
+    return { type: "refusal", refusal: text };
   }
+  return { type: "text", text };
+}
 
-  return state.accumulatedTextIsPreview
-    ? `${STREAMING_PREVIEW_PREFIX}${state.accumulatedText}`
-    : state.accumulatedText;
+function streamingPartsToMessageContent(
+  parts: StreamingTextPart[]
+): import("@/types/openai").MessageContent[] {
+  return parts.map((part) => createStreamingMessageContent(part.text, part.type));
 }
 
 interface AgentViewProps {
@@ -79,8 +111,8 @@ function ConversationItemBubble({ item, toolCalls = [], toolResults = [] }: Conv
   const getMessageText = () => {
     if (item.type === "message") {
       return item.content
-        .filter((c) => c.type === "text")
-        .map((c) => (c as import("@/types/openai").MessageTextContent).text)
+        .filter((c) => c.type === "text" || c.type === "output_text" || c.type === "refusal")
+        .map((c) => ("refusal" in c ? c.refusal : c.text))
         .join("\n");
     }
     return "";
@@ -322,6 +354,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
   } | null>(null);
   const userJustSentMessage = useRef<boolean>(false);
   const accumulatedTextRef = useRef<string>("");
+  const accumulatedPartsRef = useRef<StreamingTextPart[]>([]);
   const lastAssistantTextRenderAt = useRef(0);
 
   const renderAssistantStreamingText = useCallback(
@@ -345,35 +378,26 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
           return item;
         }
 
-        const nextText = accumulatedTextRef.current;
-        const existingTextContent = item.content.find(
-          (content) => content.type === "text" || content.type === "output_text"
+        const existingNonTextContent = item.content.filter(
+          (content) =>
+            content.type !== "text" && content.type !== "output_text" && content.type !== "refusal"
         );
-        const currentText =
-          existingTextContent && "text" in existingTextContent
-            ? existingTextContent.text
-            : "";
-
-        if (currentText === nextText && item.status === status) {
+        const nextTextContent = streamingPartsToMessageContent(accumulatedPartsRef.current);
+        const currentTextContent = item.content.filter(
+          (content) =>
+            content.type === "text" || content.type === "output_text" || content.type === "refusal"
+        );
+        if (
+          JSON.stringify(currentTextContent) === JSON.stringify(nextTextContent) &&
+          item.status === status
+        ) {
           return item;
         }
 
         changed = true;
-        const existingNonTextContent = item.content.filter(
-          (content) => content.type !== "text" && content.type !== "output_text"
-        );
-
         return {
           ...item,
-          content: nextText
-            ? [
-                ...existingNonTextContent,
-                {
-                  type: "text",
-                  text: nextText,
-                } as import("@/types/openai").MessageTextContent,
-              ]
-            : existingNonTextContent,
+          content: [...existingNonTextContent, ...nextTextContent],
           status,
         };
       });
@@ -571,11 +595,16 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
 
           // Handle text delta events
           if (
-            openAIEvent.type === "response.output_text.delta" &&
+            (openAIEvent.type === "response.output_text.delta" ||
+              openAIEvent.type === "response.refusal.delta") &&
             "delta" in openAIEvent &&
             openAIEvent.delta
           ) {
-            accumulatedTextRef.current += openAIEvent.delta;
+            accumulatedPartsRef.current = applyTextDeltaToParts(
+              accumulatedPartsRef.current,
+              openAIEvent
+            );
+            accumulatedTextRef.current = accumulatedPartsRef.current.map((part) => part.text).join("");
             renderAssistantStreamingText(assistantMessage.id);
           }
         }
@@ -694,14 +723,15 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
               const state = loadStreamingState(mostRecent.id);
 
               if (state && !state.completed) {
-                const restoredText = getRestoredStreamingText(state);
-                accumulatedTextRef.current = restoredText;
+                const restoredParts = getRestoredStreamingParts(state);
+                accumulatedPartsRef.current = restoredParts;
+                accumulatedTextRef.current = restoredParts.map((part) => part.text).join("");
                 // Add assistant message with resumed text
                 const assistantMsg: import("@/types/openai").ConversationMessage = {
                   id: state.lastMessageId || `assistant-${Date.now()}`,
                   type: "message",
                   role: "assistant",
-                  content: restoredText ? [{ type: "text", text: restoredText }] : [],
+                  content: streamingPartsToMessageContent(restoredParts),
                   status: "in_progress",
                 };
                 setChatItems([...allItems as import("@/types/openai").ConversationItem[], assistantMsg]);
@@ -800,6 +830,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
     setIsStreaming(false);
     setCurrentConversation(undefined);
     accumulatedTextRef.current = "";
+    accumulatedPartsRef.current = [];
     lastAssistantTextRenderAt.current = 0;
 
     loadConversations();
@@ -825,6 +856,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
       // Reset conversation usage by setting it to initial state
       useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
       accumulatedTextRef.current = "";
+      accumulatedPartsRef.current = [];
 
       // Clear debug panel for fresh conversation
       onDebugEvent("clear");
@@ -881,6 +913,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
               setIsStreaming(false);
               useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
               accumulatedTextRef.current = "";
+              accumulatedPartsRef.current = [];
             }
           }
 
@@ -1000,14 +1033,15 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
         // Check for incomplete stream and restore accumulated text
         const state = loadStreamingState(conversationId);
         if (state?.accumulatedText) {
-          const restoredText = getRestoredStreamingText(state);
-          accumulatedTextRef.current = restoredText;
+          const restoredParts = getRestoredStreamingParts(state);
+          accumulatedPartsRef.current = restoredParts;
+          accumulatedTextRef.current = restoredParts.map((part) => part.text).join("");
           // Add assistant message with resumed text - streaming will continue automatically
           const assistantMsg: import("@/types/openai").ConversationMessage = {
             id: `assistant-${Date.now()}`,
             type: "message",
             role: "assistant",
-            content: [{ type: "output_text", text: restoredText }],
+            content: streamingPartsToMessageContent(restoredParts),
             status: "in_progress",
           };
           setChatItems([...items, assistantMsg]);
@@ -1028,6 +1062,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
       }
 
       accumulatedTextRef.current = "";
+      accumulatedPartsRef.current = [];
     },
     [availableConversations, onDebugEvent, setCurrentConversation, setChatItems, setIsStreaming]
   );
@@ -1199,6 +1234,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
 
         // Clear text accumulator for new response
         accumulatedTextRef.current = "";
+        accumulatedPartsRef.current = [];
         lastAssistantTextRenderAt.current = 0;
 
         // Create new AbortController for this request
@@ -1454,11 +1490,16 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
 
           // Handle text delta events for chat
           if (
-            openAIEvent.type === "response.output_text.delta" &&
+            (openAIEvent.type === "response.output_text.delta" ||
+              openAIEvent.type === "response.refusal.delta") &&
             "delta" in openAIEvent &&
             openAIEvent.delta
           ) {
-            accumulatedTextRef.current += openAIEvent.delta;
+            accumulatedPartsRef.current = applyTextDeltaToParts(
+              accumulatedPartsRef.current,
+              openAIEvent
+            );
+            accumulatedTextRef.current = accumulatedPartsRef.current.map((part) => part.text).join("");
             renderAssistantStreamingText(assistantMessage.id);
           }
 
@@ -1641,6 +1682,11 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
                       type: "text",
                       text: (content as { text: string }).text,
                     } as import("@/types/openai").MessageTextContent);
+                  } else if (content.type === "refusal") {
+                    assistantContent.push({
+                      type: "refusal",
+                      refusal: content.refusal,
+                    });
                   } else if (content.type === "output_image") {
                     assistantContent.push(content as unknown as import("@/types/openai").MessageOutputImage);
                   } else if (content.type === "output_file") {
diff --git a/python/packages/devui/frontend/src/components/features/agent/message-renderers/OpenAIContentRenderer.tsx b/python/packages/devui/frontend/src/components/features/agent/message-renderers/OpenAIContentRenderer.tsx
index 0a3cb857cac..1892aa5c429 100644
--- a/python/packages/devui/frontend/src/components/features/agent/message-renderers/OpenAIContentRenderer.tsx
+++ b/python/packages/devui/frontend/src/components/features/agent/message-renderers/OpenAIContentRenderer.tsx
@@ -26,9 +26,14 @@ interface ContentRendererProps {
 
 // Text content renderer
 function TextContentRenderer({ content, className, isStreaming }: ContentRendererProps) {
-  if (content.type !== "text" && content.type !== "input_text" && content.type !== "output_text") return null;
+  if (
+    content.type !== "text" &&
+    content.type !== "input_text" &&
+    content.type !== "output_text" &&
+    content.type !== "refusal"
+  ) return null;
 
-  const text = content.text;
+  const text = content.type === "refusal" ? content.refusal : content.text;
 
   return (
     <div className={`break-words ${className || ""}`}>
@@ -373,6 +378,7 @@ export function OpenAIContentRenderer({ content, className, isStreaming }: Conte
     case "text":
     case "input_text":
     case "output_text":
+    case "refusal":
       return <TextContentRenderer content={content} className={className} isStreaming={isStreaming} />;
     case "input_image":
     case "output_image":
diff --git a/python/packages/devui/frontend/src/components/features/workflow/execution-timeline.tsx b/python/packages/devui/frontend/src/components/features/workflow/execution-timeline.tsx
index 2dca6d8a593..2eb68bc063e 100644
--- a/python/packages/devui/frontend/src/components/features/workflow/execution-timeline.tsx
+++ b/python/packages/devui/frontend/src/components/features/workflow/execution-timeline.tsx
@@ -97,10 +97,16 @@ function getStateBadgeClass(state: ExecutorState) {
 }
 
 function getMessageText(item: unknown): string {
-  const content = (item as { content?: Array<{ type: string; text?: string }> }).content;
+  const content = (item as { content?: Array<{ type: string; text?: string; refusal?: string }> }).content;
   return content
-    ?.filter((content) => content.type === "output_text" && content.text)
-    .map((content) => content.text)
+    ?.map((content) =>
+      content.type === "output_text"
+        ? content.text
+        : content.type === "refusal"
+          ? content.refusal
+          : undefined
+    )
+    .filter((text): text is string => Boolean(text))
     .join("\n") ?? "";
 }
 
diff --git a/python/packages/devui/frontend/src/components/features/workflow/workflow-view.tsx b/python/packages/devui/frontend/src/components/features/workflow/workflow-view.tsx
index 731814b3d3d..52de07647c4 100644
--- a/python/packages/devui/frontend/src/components/features/workflow/workflow-view.tsx
+++ b/python/packages/devui/frontend/src/components/features/workflow/workflow-view.tsx
@@ -677,9 +677,14 @@ export function WorkflowView({
               Array.isArray(item.content)
             ) {
               // Extract text from message content
-              for (const content of item.content as Array<{ type: string; text?: string }>) {
-                if (content.type === "output_text" && content.text) {
-                  const text = content.text; // Capture for closure
+              for (const content of item.content as Array<{ type: string; text?: string; refusal?: string }>) {
+                const text =
+                  content.type === "output_text"
+                    ? content.text
+                    : content.type === "refusal"
+                      ? content.refusal
+                      : undefined;
+                if (text) {
                   // Append to workflow result (support multiple yield_output calls)
                   setWorkflowResult((prev) => {
                     if (prev && prev.length > 0) {
@@ -691,7 +696,7 @@ export function WorkflowView({
 
                   // Try to parse as JSON for structured metadata
                   try {
-                    const parsed = JSON.parse(content.text);
+                    const parsed = content.type === "output_text" ? JSON.parse(text) : undefined;
                     if (typeof parsed === "object" && parsed !== null) {
                       workflowMetadata.current = parsed;
                     }
@@ -758,7 +763,8 @@ export function WorkflowView({
 
           // Handle text output - assign to current item (not executor!)
           if (
-            openAIEvent.type === "response.output_text.delta" &&
+            (openAIEvent.type === "response.output_text.delta" ||
+              openAIEvent.type === "response.refusal.delta") &&
             "delta" in openAIEvent &&
             openAIEvent.delta
           ) {
@@ -882,18 +888,24 @@ export function WorkflowView({
         if (response.output) {
           for (const outputItem of response.output) {
             if (outputItem.type === "message" && "content" in outputItem && Array.isArray(outputItem.content)) {
-              for (const content of outputItem.content as Array<{ type: string; text?: string }>) {
-                if (content.type === "output_text" && content.text) {
+              for (const content of outputItem.content as Array<{ type: string; text?: string; refusal?: string }>) {
+                const text =
+                  content.type === "output_text"
+                    ? content.text
+                    : content.type === "refusal"
+                      ? content.refusal
+                      : undefined;
+                if (text) {
                   setWorkflowResult((prev) => {
                     if (prev && prev.length > 0) {
-                      return prev + "\n\n" + content.text;
+                      return prev + "\n\n" + text;
                     }
-                    return content.text || "";
+                    return text;
                   });
 
                   // Try to parse as JSON for structured metadata
                   try {
-                    const parsed = JSON.parse(content.text || "");
+                    const parsed = content.type === "output_text" ? JSON.parse(text) : undefined;
                     if (typeof parsed === "object" && parsed !== null) {
                       workflowMetadata.current = parsed;
                     }
@@ -1121,9 +1133,14 @@ export function WorkflowView({
             const metadata = item.metadata as { workflow_output_kind?: string } | undefined;
             if (metadata?.workflow_output_kind !== "intermediate") {
               // Extract text from message content
-              for (const content of item.content as Array<{ type: string; text?: string }>) {
-                if (content.type === "output_text" && content.text) {
-                  const text = content.text; // Capture for closure
+              for (const content of item.content as Array<{ type: string; text?: string; refusal?: string }>) {
+                const text =
+                  content.type === "output_text"
+                    ? content.text
+                    : content.type === "refusal"
+                      ? content.refusal
+                      : undefined;
+                if (text) {
                   // Append to workflow result (support multiple yield_output calls)
                   setWorkflowResult((prev) => {
                     if (prev && prev.length > 0) {
@@ -1135,7 +1152,7 @@ export function WorkflowView({
 
                   // Try to parse as JSON for structured metadata
                   try {
-                    const parsed = JSON.parse(text);
+                    const parsed = content.type === "output_text" ? JSON.parse(text) : undefined;
                     if (typeof parsed === "object" && parsed !== null) {
                       workflowMetadata.current = parsed;
                     }
@@ -1150,7 +1167,8 @@ export function WorkflowView({
 
         // Handle text output - assign to current item (not executor!)
         if (
-          openAIEvent.type === "response.output_text.delta" &&
+          (openAIEvent.type === "response.output_text.delta" ||
+            openAIEvent.type === "response.refusal.delta") &&
           "delta" in openAIEvent &&
           openAIEvent.delta
         ) {
diff --git a/python/packages/devui/frontend/src/services/api.ts b/python/packages/devui/frontend/src/services/api.ts
index f095487f1d9..b540973bd7d 100644
--- a/python/packages/devui/frontend/src/services/api.ts
+++ b/python/packages/devui/frontend/src/services/api.ts
@@ -520,6 +520,8 @@ class ApiClient {
           lastSequenceNumber,
           accumulatedText: storedState?.accumulatedText,
           accumulatedTextIsPreview: storedState?.accumulatedTextIsPreview,
+          accumulatedTextType: storedState?.accumulatedTextType,
+          accumulatedParts: storedState?.accumulatedParts,
         }),
         event,
         currentResponseId,
@@ -527,7 +529,7 @@ class ApiClient {
       );
 
       const isTextDelta =
-        event.type === "response.output_text.delta" &&
+        (event.type === "response.output_text.delta" || event.type === "response.refusal.delta") &&
         "delta" in event &&
         typeof event.delta === "string" &&
         event.delta.length > 0;
diff --git a/python/packages/devui/frontend/src/services/streaming-state.ts b/python/packages/devui/frontend/src/services/streaming-state.ts
index 71f6ac17c59..612855793a2 100644
--- a/python/packages/devui/frontend/src/services/streaming-state.ts
+++ b/python/packages/devui/frontend/src/services/streaming-state.ts
@@ -8,6 +8,46 @@
 
 import type { ExtendedResponseStreamEvent } from "@/types/openai";
 
+export interface StreamingTextPart {
+  itemId?: string;
+  contentIndex: number;
+  type: "text" | "refusal";
+  text: string;
+}
+
+export function applyTextDeltaToParts(
+  parts: StreamingTextPart[],
+  event: ExtendedResponseStreamEvent
+): StreamingTextPart[] {
+  if (
+    (event.type !== "response.output_text.delta" && event.type !== "response.refusal.delta") ||
+    !("delta" in event) ||
+    typeof event.delta !== "string" ||
+    event.delta.length === 0
+  ) {
+    return parts;
+  }
+  const partType = event.type === "response.refusal.delta" ? "refusal" : "text";
+  const nextParts = parts.map((part) => ({ ...part }));
+  const existingPart = nextParts.find(
+    (part) =>
+      part.itemId === event.item_id &&
+      part.contentIndex === (event.content_index ?? 0) &&
+      part.type === partType
+  );
+  if (existingPart) {
+    existingPart.text += event.delta;
+  } else {
+    nextParts.push({
+      itemId: event.item_id,
+      contentIndex: event.content_index ?? 0,
+      type: partType,
+      text: event.delta,
+    });
+  }
+  return nextParts;
+}
+
 export interface StreamingState {
   conversationId: string;
   responseId: string;
@@ -17,6 +57,8 @@ export interface StreamingState {
   completed: boolean; // Whether the stream completed successfully
   accumulatedText?: string; // Bounded tail preview for refresh restoration
   accumulatedTextIsPreview?: boolean;
+  accumulatedTextType?: "text" | "refusal";
+  accumulatedParts?: StreamingTextPart[];
 }
 
 const STORAGE_KEY_PREFIX = "devui_streaming_state_";
@@ -30,6 +72,8 @@ interface CreateStreamingStateOptions {
   lastSequenceNumber?: number;
   accumulatedText?: string;
   accumulatedTextIsPreview?: boolean;
+  accumulatedTextType?: "text" | "refusal";
+  accumulatedParts?: StreamingTextPart[];
 }
 
 /**
@@ -40,6 +84,25 @@ function getStorageKey(conversationId: string): string {
 }
 
 function normalizeAccumulatedTextPreview(state: StreamingState): StreamingState {
+  if (state.accumulatedParts?.length) {
+    const retained: StreamingTextPart[] = [];
+    let remaining = MAX_ACCUMULATED_TEXT_PREVIEW_CHARS;
+    for (const part of [...state.accumulatedParts].reverse()) {
+      if (remaining <= 0) break;
+      const text = part.text.slice(-remaining);
+      retained.unshift({ ...part, text });
+      remaining -= text.length;
+    }
+    const accumulatedText = retained.map((part) => part.text).join("");
+    return {
+      ...state,
+      accumulatedParts: retained,
+      accumulatedText,
+      accumulatedTextIsPreview:
+        state.accumulatedTextIsPreview ||
+        accumulatedText.length < state.accumulatedParts.reduce((total, part) => total + part.text.length, 0),
+    };
+  }
   if (
     state.accumulatedText === undefined ||
     state.accumulatedText.length <= MAX_ACCUMULATED_TEXT_PREVIEW_CHARS
@@ -87,6 +150,8 @@ export function createStreamingState({
   lastSequenceNumber = -1,
   accumulatedText,
   accumulatedTextIsPreview = false,
+  accumulatedTextType,
+  accumulatedParts,
 }: CreateStreamingStateOptions): StreamingState {
   return normalizeAccumulatedTextPreview({
     conversationId,
@@ -97,6 +162,8 @@ export function createStreamingState({
     completed: false,
     accumulatedText,
     accumulatedTextIsPreview,
+    accumulatedTextType,
+    accumulatedParts,
   });
 }
 
@@ -123,23 +190,30 @@ export function applyStreamingEventToState(
   }
 
   if (
-    event.type === "response.output_text.delta" &&
+    (event.type === "response.output_text.delta" || event.type === "response.refusal.delta") &&
     "delta" in event &&
     typeof event.delta === "string" &&
     event.delta.length > 0
   ) {
-    const accumulatedText = `${state.accumulatedText ?? ""}${event.delta}`;
-    const isPreview =
-      state.accumulatedTextIsPreview ||
-      accumulatedText.length > MAX_ACCUMULATED_TEXT_PREVIEW_CHARS;
-
-    nextState.accumulatedText = isPreview
-      ? accumulatedText.slice(-MAX_ACCUMULATED_TEXT_PREVIEW_CHARS)
-      : accumulatedText;
-    nextState.accumulatedTextIsPreview = isPreview;
+    const partType = event.type === "response.refusal.delta" ? "refusal" : "text";
+    const existingParts = state.accumulatedParts
+      ? state.accumulatedParts.map((part) => ({ ...part }))
+      : state.accumulatedText
+        ? [{
+            itemId: state.lastMessageId,
+            contentIndex: 0,
+            type: state.accumulatedTextType ?? "text",
+            text: state.accumulatedText,
+          } satisfies StreamingTextPart]
+        : [];
+    const accumulatedParts = applyTextDeltaToParts(existingParts, event);
+    nextState.accumulatedParts = accumulatedParts;
+    nextState.accumulatedText = accumulatedParts.map((part) => part.text).join("");
+    nextState.accumulatedTextIsPreview = state.accumulatedTextIsPreview;
+    nextState.accumulatedTextType = partType;
   }
 
-  return nextState;
+  return normalizeAccumulatedTextPreview(nextState);
 }
 
 /**
diff --git a/python/packages/devui/frontend/src/types/openai.ts b/python/packages/devui/frontend/src/types/openai.ts
index 9fba2900270..0b7f6b99d18 100644
--- a/python/packages/devui/frontend/src/types/openai.ts
+++ b/python/packages/devui/frontend/src/types/openai.ts
@@ -362,6 +362,7 @@ export type StructuredEvent =
   | ResponseErrorEvent
   | ResponseFunctionApprovalRequestedEvent
   | ResponseFunctionApprovalRespondedEvent
+  | ResponseRefusalDeltaEvent
   | TurnSeparatorEvent;
 
 // Extended stream event that includes our structured events
@@ -379,6 +380,16 @@ export interface ResponseTextDeltaEvent extends ResponseStreamEvent {
   metadata?: Record<string, unknown>;
 }
 
+export interface ResponseRefusalDeltaEvent extends ResponseStreamEvent {
+  type: "response.refusal.delta";
+  delta: string;
+  item_id: string;
+  output_index: number;
+  content_index: number;
+  sequence_number: number;
+  metadata?: Record<string, unknown>;
+}
+
 // OpenAI Response for non-streaming
 export interface OpenAIResponse {
   id: string;
@@ -395,7 +406,7 @@ export interface OpenAIResponse {
 export interface ResponseOutputMessage {
   type: "message";
   role: "assistant";
-  content: ResponseOutputText[];
+  content: MessageContent[];
   id: string;
   status: "completed" | "failed" | "in_progress";
   metadata?: Record<string, unknown>;
@@ -407,6 +418,11 @@ export interface ResponseOutputText {
   annotations: Record<string, unknown>[];
 }
 
+export interface ResponseOutputRefusal {
+  type: "refusal";
+  refusal: string;
+}
+
 // Note: ResponseUsage is defined at the top of this file
 
 // Request format for Agent Framework
@@ -494,6 +510,11 @@ export interface MessageOutputTextContent {
   logprobs?: Logprob[];
 }
 
+export interface MessageRefusalContent {
+  type: "refusal";
+  refusal: string;
+}
+
 export interface MessageInputImage {
   type: "input_image";
   image_url: string;
@@ -566,6 +587,7 @@ export type MessageContent =
   | MessageTextContent
   | MessageInputTextContent
   | MessageOutputTextContent
+  | MessageRefusalContent
   | MessageInputImage
   | MessageInputFile
   | MessageOutputImage
diff --git a/python/packages/devui/tests/devui/test_conversations.py b/python/packages/devui/tests/devui/test_conversations.py
index 32eda04e3aa..0639a6eed44 100644
--- a/python/packages/devui/tests/devui/test_conversations.py
+++ b/python/packages/devui/tests/devui/test_conversations.py
@@ -7,7 +7,7 @@
 import pytest
 from openai.types.conversations import InputTextContent
 from openai.types.conversations.message import Message as OpenAIMessage
-from openai.types.responses import ResponseInputFile, ResponseInputImage
+from openai.types.responses import ResponseInputFile, ResponseInputImage, ResponseOutputRefusal
 
 from agent_framework_devui._conversations import InMemoryConversationStore
 
@@ -157,6 +157,54 @@ async def test_add_items():
     assert text_content.text == "Hello"
 
 
+@pytest.mark.asyncio
+async def test_add_and_list_items_preserves_marked_refusal_text():
+    store = InMemoryConversationStore()
+    conversation = store.create_conversation(metadata={"agent_id": "test_agent"})
+
+    added = await store.add_items(
+        conversation.id,
+        items=[{"role": "assistant", "content": [{"type": "refusal", "refusal": "I cannot help."}]}],
+    )
+    retrieved, _ = await store.list_items(conversation.id)
+
+    added_message = cast(OpenAIMessage, added[0])
+    assert added_message.content is not None
+    added_refusal = cast(ResponseOutputRefusal, added_message.content[0])
+    retrieved_message = cast(OpenAIMessage, retrieved[0])
+    assert retrieved_message.content is not None
+    retrieved_refusal = cast(ResponseOutputRefusal, retrieved_message.content[0])
+    assert added_refusal.refusal == "I cannot help."
+    assert retrieved_refusal.refusal == "I cannot help."
+
+
+@pytest.mark.asyncio
+async def test_add_and_list_items_preserves_mixed_text_and_refusal_order():
+    store = InMemoryConversationStore()
+    conversation = store.create_conversation(metadata={"agent_id": "test_agent"})
+
+    added = await store.add_items(
+        conversation.id,
+        items=[
+            {
+                "role": "assistant",
+                "content": [
+                    {"type": "output_text", "text": "Partial answer.", "annotations": []},
+                    {"type": "refusal", "refusal": "I cannot continue."},
+                ],
+            }
+        ],
+    )
+    retrieved, _ = await store.list_items(conversation.id)
+
+    for item in [added[0], retrieved[0]]:
+        message = cast(OpenAIMessage, item)
+        assert message.content is not None
+        assert [content.type for content in message.content] == ["text", "refusal"]
+        assert cast(InputTextContent, message.content[0]).text == "Partial answer."
+        assert cast(ResponseOutputRefusal, message.content[1]).refusal == "I cannot continue."
+
+
 @pytest.mark.asyncio
 async def test_add_items_accepts_assistant_output_text():
     """Assistant Responses history is accepted by the conversation parser."""
diff --git a/python/packages/devui/tests/devui/test_mapper.py b/python/packages/devui/tests/devui/test_mapper.py
index 89e06c41c15..d050a80d2f6 100644
--- a/python/packages/devui/tests/devui/test_mapper.py
+++ b/python/packages/devui/tests/devui/test_mapper.py
@@ -30,6 +30,7 @@
     create_executor_failed_event,
     create_executor_invoked_event,
 )  # pyrefly: ignore[missing-import]
+from openai.types.responses import ResponseOutputRefusal, ResponseOutputText
 
 from agent_framework_devui._mapper import MessageMapper
 from agent_framework_devui.models._openai_custom import (
@@ -121,6 +122,73 @@ async def test_text_content_mapping(mapper: MessageMapper, test_request: AgentFr
     assert events[2].delta == "Hello, clean test!"
 
 
+async def test_marked_refusal_text_mapping(mapper: MessageMapper, test_request: AgentFrameworkRequest) -> None:
+    content = Content.from_text(
+        "I cannot help.",
+        additional_properties={"model_output_kind": "refusal"},
+    )
+    update = create_test_agent_update([content])
+
+    events = await mapper.convert_event(update, test_request)
+
+    assert [event.type for event in events] == [
+        "response.output_item.added",
+        "response.content_part.added",
+        "response.refusal.delta",
+    ]
+    assert events[1].part.type == "refusal"
+    assert events[2].delta == "I cannot help."
+
+
+async def test_marked_refusal_text_aggregation(mapper: MessageMapper, test_request: AgentFrameworkRequest) -> None:
+    update = create_test_agent_update([
+        Content.from_text(
+            "I cannot help.",
+            additional_properties={"model_output_kind": "refusal"},
+        )
+    ])
+
+    events = await mapper.convert_event(update, test_request)
+    response = await mapper.aggregate_to_response(events, test_request)
+
+    messages = [item for item in response.output if item.type == "message"]
+    assert len(messages) == 1
+    assert len(messages[0].content) == 1
+    assert messages[0].content[0].type == "refusal"
+    assert messages[0].content[0].refusal == "I cannot help."
+
+
+async def test_mixed_text_and_refusal_keep_separate_content_indexes(
+    mapper: MessageMapper,
+    test_request: AgentFrameworkRequest,
+) -> None:
+    update = create_test_agent_update([
+        Content.from_text("Partial answer."),
+        Content.from_text(
+            "I cannot continue.",
+            additional_properties={"model_output_kind": "refusal"},
+        ),
+    ])
+
+    events = await mapper.convert_event(update, test_request)
+    response = await mapper.aggregate_to_response(events, test_request)
+
+    part_events = [event for event in events if event.type == "response.content_part.added"]
+    assert [(event.content_index, event.part.type) for event in part_events] == [
+        (0, "output_text"),
+        (1, "refusal"),
+    ]
+    messages = [item for item in response.output if item.type == "message"]
+    assert len(messages) == 1
+    assert [content.type for content in messages[0].content] == ["output_text", "refusal"]
+    output_text = messages[0].content[0]
+    refusal = messages[0].content[1]
+    assert isinstance(output_text, ResponseOutputText)
+    assert isinstance(refusal, ResponseOutputRefusal)
+    assert output_text.text == "Partial answer."
+    assert refusal.refusal == "I cannot continue."
+
+
 async def test_function_call_mapping(mapper: MessageMapper, test_request: AgentFrameworkRequest) -> None:
     """Test FunctionCallContent mapping."""
     content = create_test_content("function_call", name="test_func", arguments={"location": "TestCity"})
diff --git a/python/packages/foundry_hosting/README.md b/python/packages/foundry_hosting/README.md
index d73bc714c8a..36affebae5a 100644
--- a/python/packages/foundry_hosting/README.md
+++ b/python/packages/foundry_hosting/README.md
@@ -36,6 +36,10 @@ storage locally. Stored sessions are scoped under `agent_sessions`.
 See the [custom storage provider sample](../../samples/04-hosting/foundry-hosted-agents/responses/custom_storage/)
 for an example that uses an in-memory session store locally and Azure Cosmos DB when hosted.
 
+Native Responses refusal parts are stored as text carrying
+`additional_properties["model_output_kind"] == "refusal"` and emitted as
+`response.refusal.*` events when streamed back to clients.
+
 ### Workflow checkpoints
 
 `ResponsesHostServer` persists workflow checkpoints durably. By default, it uses the
diff --git a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py
index d75628cbabf..991e6f44b8e 100644
--- a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py
+++ b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py
@@ -63,6 +63,7 @@
     OutputItemMcpCallBuilder,
     OutputItemMessageBuilder,
     ReasoningSummaryPartBuilder,
+    RefusalContentBuilder,
     TextContentBuilder,
 )
 from azure.ai.agentserver.responses.streaming._checkpoint import ResponseCheckpointEvent
@@ -81,9 +82,15 @@
 
 logger = logging.getLogger(__name__)
 
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
 _HOSTED_RESPONSES_HISTORY_SOURCE_ID = "_foundry_responses_history"
 
 
+def _is_refusal_text_content(content: Content) -> bool:
+    return content.type == "text" and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL
+
+
 def _validate_checkpoint_context_id(context_id: str) -> None:
     """Validate that a checkpoint context ID is a single safe path component in case file-based storage is used."""
     if (
@@ -951,6 +958,7 @@ def __init__(self, stream: ResponseEventStream) -> None:
         # Builder state — only one is active at a time
         self._message_item: OutputItemMessageBuilder | None = None
         self._text_content: TextContentBuilder | None = None
+        self._refusal_content: RefusalContentBuilder | None = None
         self._reasoning_item: OutputItemBuilder | None = None
         self._summary_part: ReasoningSummaryPartBuilder | None = None
         self._reasoning_encrypted_content: str | None = None
@@ -998,14 +1006,17 @@ async def handle(
             approval_storage: Used for content types that fall back to one-shot emission
                 (anything not recognized as a streaming delta type) to save/load approval requests.
         """
-        if content.type == "text" and content.text is not None:
-            if self._active_type != "text" or (
-                message_id is not None and self._active_message_id is not None and message_id != self._active_message_id
-            ):
-                for event in self._close():
-                    yield event
-                for event in self._open_message():
-                    yield event
+        if _is_refusal_text_content(content) and content.text is not None:
+            for event in self._ensure_message_content("refusal", message_id):
+                yield event
+            self._active_message_id = message_id
+            self._accumulated.append(content.text)
+            if self._refusal_content is not None:
+                yield self._refusal_content.emit_delta(content.text)
+
+        elif content.type == "text" and content.text is not None:
+            for event in self._ensure_message_content("text", message_id):
+                yield event
             self._active_message_id = message_id
             self._accumulated.append(content.text)
             if self._text_content is not None:
@@ -1202,13 +1213,42 @@ def close(self) -> Generator[ResponseStreamEvent]:
 
     # -- Private open/close helpers --
 
-    def _open_message(self) -> Generator[ResponseStreamEvent]:
+    def _ensure_message_content(
+        self,
+        content_type: Literal["text", "refusal"],
+        message_id: str | None,
+    ) -> Generator[ResponseStreamEvent]:
+        message_changed = (
+            message_id is not None and self._active_message_id is not None and message_id != self._active_message_id
+        )
+        if self._active_type == content_type and not message_changed:
+            return
+        if self._message_item is not None and self._active_type in {"text", "refusal"} and not message_changed:
+            yield from self._close_message_content()
+            yield from self._open_message_content(content_type)
+            return
+        yield from self._close()
+        yield from self._open_message(content_type)
+
+    def _open_message(self, content_type: Literal["text", "refusal"]) -> Generator[ResponseStreamEvent]:
         self._message_item = self._stream.add_output_item_message()
-        self._text_content = self._message_item.add_text_content()
-        self._active_type = "text"
-        self._active_id = None
         yield self._message_item.emit_added()
-        yield self._text_content.emit_added()
+        yield from self._open_message_content(content_type)
+
+    def _open_message_content(
+        self,
+        content_type: Literal["text", "refusal"],
+    ) -> Generator[ResponseStreamEvent]:
+        if self._message_item is None:
+            raise RuntimeError("Cannot open message content without an active message")
+        self._active_type = content_type
+        self._active_id = None
+        if content_type == "refusal":
+            self._refusal_content = self._message_item.add_refusal_content()
+            yield self._refusal_content.emit_added()
+        else:
+            self._text_content = self._message_item.add_text_content()
+            yield self._text_content.emit_added()
 
     def _open_reasoning(self, content: Content) -> Generator[ResponseStreamEvent]:
         item_id = content.id
@@ -1255,16 +1295,14 @@ def _open_mcp_call(self, content: Content) -> Generator[ResponseStreamEvent]:
         yield self._mcp_builder.emit_added()
 
     def _close(self) -> Generator[ResponseStreamEvent]:
-        accumulated = "".join(self._accumulated)
-
-        if self._active_type == "text" and self._text_content and self._message_item:
-            yield self._text_content.emit_text_done(accumulated)
-            yield self._text_content.emit_done()
-            yield self._message_item.emit_done()
-            self._text_content = None
+        if self._active_type in {"text", "refusal"}:
+            yield from self._close_message_content()
+            if self._message_item is not None:
+                yield self._message_item.emit_done()
             self._message_item = None
 
         elif self._active_type == "text_reasoning" and self._summary_part and self._reasoning_item:
+            accumulated = "".join(self._accumulated)
             yield self._summary_part.emit_text_done(accumulated)
             yield self._summary_part.emit_done()
             yield self._reasoning_item.emit_done(
@@ -1280,11 +1318,13 @@ def _close(self) -> Generator[ResponseStreamEvent]:
             self._reasoning_encrypted_content = None
 
         elif self._active_type == "function_call" and self._fc_builder:
+            accumulated = "".join(self._accumulated)
             yield self._fc_builder.emit_arguments_done(accumulated)
             yield self._fc_builder.emit_done()
             self._fc_builder = None
 
         elif self._active_type == "mcp_server_tool_call" and self._mcp_builder:
+            accumulated = "".join(self._accumulated)
             yield self._mcp_builder.emit_arguments_done(accumulated)
             yield self._mcp_builder.emit_completed()
             yield self._mcp_builder.emit_done()
@@ -1295,6 +1335,20 @@ def _close(self) -> Generator[ResponseStreamEvent]:
         self._active_message_id = None
         self._accumulated.clear()
 
+    def _close_message_content(self) -> Generator[ResponseStreamEvent]:
+        accumulated = "".join(self._accumulated)
+        if self._active_type == "text" and self._text_content is not None:
+            yield self._text_content.emit_text_done(accumulated)
+            yield self._text_content.emit_done()
+            self._text_content = None
+        elif self._active_type == "refusal" and self._refusal_content is not None:
+            yield self._refusal_content.emit_refusal_done(accumulated)
+            yield self._refusal_content.emit_done()
+            self._refusal_content = None
+        self._active_type = None
+        self._active_id = None
+        self._accumulated.clear()
+
 
 # endregion
 
@@ -1693,7 +1747,10 @@ def _convert_output_message_content(content: OutputMessageContent) -> Content:
     if content["type"] == "output_text":
         return Content.from_text(content["text"])
     if content["type"] == "refusal":
-        return Content.from_text(content["refusal"])
+        return Content.from_text(
+            content["refusal"],
+            additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+        )
 
     # Defensive: `OutputMessageContent` currently only supports `output_text` and `refusal`,
     # but if new types are added in the future, this will catch them.
@@ -1746,7 +1803,10 @@ def _convert_message_content(content: MessageContent) -> Content:
     if content["type"] == "summary_text":
         return Content.from_text(content["text"])
     if content["type"] == "refusal":
-        return Content.from_text(content["refusal"])
+        return Content.from_text(
+            content["refusal"],
+            additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+        )
     if content["type"] == "reasoning_text":
         return Content.from_text_reasoning(text=content["text"])
     if content["type"] == "input_image":
diff --git a/python/packages/foundry_hosting/tests/test_responses.py b/python/packages/foundry_hosting/tests/test_responses.py
index 50f0c0ff505..b314a70f6d9 100644
--- a/python/packages/foundry_hosting/tests/test_responses.py
+++ b/python/packages/foundry_hosting/tests/test_responses.py
@@ -57,6 +57,7 @@
     ResponseExitForRecovery,
     ResponsesServerOptions,
 )
+from azure.ai.agentserver.responses.aio import ResponseEventStream
 from azure.ai.agentserver.responses.models import CreateResponse, Item, OutputItem
 from azure.ai.agentserver.responses.streaming._checkpoint import ResponseCheckpointEvent
 from mcp import McpError
@@ -290,6 +291,92 @@ def _make_server(agent: Any, **kwargs: Any) -> ResponsesHostServer:
     return server
 
 
+async def test_output_item_tracker_emits_native_refusal_events_for_marked_text() -> None:
+    stream = ResponseEventStream(response_id="resp_refusal")
+    stream.emit_created()
+    stream.emit_in_progress()
+    tracker = _OutputItemTracker(stream)
+    refusal = Content.from_text(
+        "I cannot help.",
+        additional_properties={"model_output_kind": "refusal"},
+    )
+    events: list[Any] = []
+
+    async for event in tracker.handle(refusal, message_id="msg_refusal"):
+        events.append(event)
+    events.extend(tracker.close())
+
+    event_types = [event.get("type") if isinstance(event, Mapping) else event.type for event in events]
+    assert event_types == [
+        "response.output_item.added",
+        "response.content_part.added",
+        "response.refusal.delta",
+        "response.refusal.done",
+        "response.content_part.done",
+        "response.output_item.done",
+    ]
+
+
+async def test_output_item_tracker_keeps_mixed_text_and_refusal_in_one_message() -> None:
+    stream = ResponseEventStream(response_id="resp_mixed")
+    stream.emit_created()
+    stream.emit_in_progress()
+    tracker = _OutputItemTracker(stream)
+    events: list[Any] = []
+
+    for content in [
+        Content.from_text("Partial answer."),
+        Content.from_text(
+            "I cannot continue.",
+            additional_properties={"model_output_kind": "refusal"},
+        ),
+    ]:
+        async for event in tracker.handle(content, message_id="msg_mixed"):
+            events.append(event)
+    events.extend(tracker.close())
+
+    event_types = [event.get("type") if isinstance(event, Mapping) else event.type for event in events]
+    assert event_types == [
+        "response.output_item.added",
+        "response.content_part.added",
+        "response.output_text.delta",
+        "response.output_text.done",
+        "response.content_part.done",
+        "response.content_part.added",
+        "response.refusal.delta",
+        "response.refusal.done",
+        "response.content_part.done",
+        "response.output_item.done",
+    ]
+    output_items = [event["item"] for event in events if isinstance(event, Mapping) and event.get("item") is not None]
+    assert {item["id"] for item in output_items} == {output_items[0]["id"]}
+    assert [part["type"] for part in output_items[-1]["content"]] == ["output_text", "refusal"]
+    part_events = [
+        event for event in events if isinstance(event, Mapping) and event.get("type") == "response.content_part.added"
+    ]
+    assert [(event["content_index"], event["part"]["type"]) for event in part_events] == [
+        (0, "output_text"),
+        (1, "refusal"),
+    ]
+
+
+async def test_item_to_message_marks_refusal_text() -> None:
+    message = await _item_to_message(
+        cast(
+            Item,
+            {
+                "type": "message",
+                "role": "assistant",
+                "content": [{"type": "refusal", "refusal": "I cannot help."}],
+            },
+        )
+    )
+
+    assert message.contents[0].type == "text"
+    assert message.contents[0].text == "I cannot help."
+    assert message.contents[0].additional_properties == {"model_output_kind": "refusal"}
+
+
 class _CapturingASGITransport(httpx.AsyncBaseTransport):
     def __init__(self, app: Any) -> None:
         self._transport = httpx.ASGITransport(app=app)
diff --git a/python/packages/hosting-responses/README.md b/python/packages/hosting-responses/README.md
index 936bfe1d883..0e06858dc1c 100644
--- a/python/packages/hosting-responses/README.md
+++ b/python/packages/hosting-responses/README.md
@@ -16,6 +16,12 @@ This package provides the Responses-specific conversion layer:
 - `responses_from_streaming_run(...)` — convert an Agent Framework
   `ResponseStream` into Responses-compatible SSE events.
 
+Responses refusal parts round-trip as text carrying
+`additional_properties["model_output_kind"] == "refusal"` and native
+`response.refusal.*` events. Streaming text and refusal output includes the
+standard output-item and content-part lifecycle with stable item IDs, indexes,
+and sequence numbers.
+
 Final streaming events match the rendered response status:
 `response.completed`, `response.incomplete`, or `response.failed`. Finalizing a
 stream with a nonterminal status produces `response.failed`. Response status is
diff --git a/python/packages/hosting-responses/agent_framework_hosting_responses/_parsing.py b/python/packages/hosting-responses/agent_framework_hosting_responses/_parsing.py
index 3536fc83d52..6cfd77f63e4 100644
--- a/python/packages/hosting-responses/agent_framework_hosting_responses/_parsing.py
+++ b/python/packages/hosting-responses/agent_framework_hosting_responses/_parsing.py
@@ -17,8 +17,9 @@
 import time
 import uuid
 import warnings
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
-from typing import Any, cast
+from collections.abc import AsyncIterator, Iterator, Mapping, MutableMapping, Sequence
+from copy import copy
+from typing import Any, Literal, cast
 
 from agent_framework import AgentResponse, AgentResponseUpdate, ChatOptions, Content, Message, ResponseStream
 from agent_framework._telemetry import mark_feature_used
@@ -34,6 +35,7 @@
     ResponseInputText,
     ResponseOutputItem,
     ResponseOutputMessage,
+    ResponseOutputRefusal,
     ResponseOutputText,
 )
 from openai.types.responses.response_usage import ResponseUsage
@@ -41,6 +43,8 @@
 
 from ._feature_usage import FeatureIndex
 
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
 _RESPONSE_OUTPUT_ITEM_ADAPTER: TypeAdapter[Any] = TypeAdapter(ResponseOutputItem)
 _RESPONSE_USAGE_ADAPTER: TypeAdapter[Any] = TypeAdapter(ResponseUsage)
 
@@ -64,6 +68,19 @@
 _STREAMING_TERMINAL_STATUSES = frozenset({"completed", "failed", "incomplete"})
 
 
+def _is_refusal_text_content(content: Content) -> bool:
+    return content.type == "text" and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL
+
+
+def _code_interpreter_projection_key(content: Content) -> tuple[str, str] | None:
+    if content.type not in {"code_interpreter_tool_call", "code_interpreter_tool_result"}:
+        return None
+    call_id = content.call_id or content.additional_properties.get("item_id")
+    if not isinstance(call_id, str) or not call_id:
+        return None
+    return content.type, call_id
+
+
 def _content_from_input_item(item: Mapping[str, Any]) -> Content:
     """Convert a single OpenAI Responses ``input`` item into a :class:`Content` part.
 
@@ -78,6 +95,14 @@ def _content_from_input_item(item: Mapping[str, Any]) -> Content:
         if not isinstance(text, str) or not text:
             raise ValueError(f"{item_type} requires a non-empty string `text`")
         return Content.from_text(text=text)
+    if item_type == "refusal":
+        refusal = item.get("refusal")
+        if not isinstance(refusal, str) or not refusal:
+            raise ValueError("refusal requires a non-empty string `refusal`")
+        return Content.from_text(
+            text=refusal,
+            additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+        )
     if item_type == "input_image":
         image_url: Any = item.get("image_url")
         if isinstance(image_url, Mapping):
@@ -711,6 +736,8 @@ def _message_output_item(content: Sequence[Any], *, status: str, message_id: str
 
 
 def _message_text_content(content: Content) -> Any:
+    if _is_refusal_text_content(content):
+        return ResponseOutputRefusal(type="refusal", refusal=content.text or "")
     raw_type = _raw_type(content.raw_representation)
     if raw_type in ("output_text", "refusal"):
         return content.raw_representation
@@ -1107,33 +1134,262 @@ async def responses_from_streaming_run(
     }
     if conversation_id is not None:
         created_response["conversation"] = {"id": conversation_id}
-    yield _sse_event(
-        "response.created",
-        {
-            "type": "response.created",
-            "response": created_response,
-        },
-    )
 
+    sequence_number = 0
     model: str | None = None
     updates: list[AgentResponseUpdate] = []
+    pending_projection_updates: list[AgentResponseUpdate] = []
+    committed_output_count = 0
+    projection_message_id: str | None = None
+    projection_message_role: str | None = None
+    seen_raw_projection_keys: set[tuple[str, str]] = set()
+    seen_code_interpreter_projection_keys: set[tuple[str, str]] = set()
+    output_index = -1
+    streamed_message_ids: list[str] = []
+    message_id: str | None = None
+    message_parts: list[dict[str, Any]] = []
+    content_index = -1
+    content_type: Literal["output_text", "refusal"] | None = None
+    content_text: str = ""
+
+    def event(event_type: str, **payload: Any) -> str:
+        nonlocal sequence_number
+        result = _sse_event(
+            event_type,
+            {
+                "type": event_type,
+                **payload,
+                "sequence_number": sequence_number,
+            },
+        )
+        sequence_number += 1
+        return result
+
+    def part_value(part_type: Literal["output_text", "refusal"], text: str) -> dict[str, Any]:
+        if part_type == "refusal":
+            return {"type": "refusal", "refusal": text}
+        return {"type": "output_text", "text": text, "annotations": []}
+
+    def close_content_part() -> list[str]:
+        nonlocal content_type, content_text
+        if message_id is None or content_type is None:
+            return []
+        part = part_value(content_type, content_text)
+        message_parts.append(part)
+        if content_type == "refusal":
+            done = event(
+                "response.refusal.done",
+                item_id=message_id,
+                output_index=output_index,
+                content_index=content_index,
+                refusal=content_text,
+            )
+        else:
+            done = event(
+                "response.output_text.done",
+                item_id=message_id,
+                output_index=output_index,
+                content_index=content_index,
+                text=content_text,
+                logprobs=[],
+            )
+        part_done = event(
+            "response.content_part.done",
+            item_id=message_id,
+            output_index=output_index,
+            content_index=content_index,
+            part=part,
+        )
+        content_type = None
+        content_text = ""
+        return [done, part_done]
+
+    def close_message(status: str) -> list[str]:
+        nonlocal message_id, message_parts, content_index
+        if message_id is None:
+            return []
+        events = close_content_part()
+        events.append(
+            event(
+                "response.output_item.done",
+                output_index=output_index,
+                item={
+                    "id": message_id,
+                    "type": "message",
+                    "role": "assistant",
+                    "status": _message_status(status),
+                    "content": list(message_parts),
+                },
+            )
+        )
+        message_id = None
+        message_parts = []
+        content_index = -1
+        return events
+
+    def projected_message_output_index(current_update: AgentResponseUpdate) -> int:
+        projected_response = AgentResponse.from_updates([*pending_projection_updates, current_update])
+        projected_items = _result_to_output_items(projected_response, status="in_progress")
+        for index in range(len(projected_items) - 1, -1, -1):
+            if _raw_type(projected_items[index]) == "message":
+                return committed_output_count + index
+        raise RuntimeError("Text content did not produce a Responses message output item")
+
+    def open_message(requested_message_id: str | None, projected_output_index: int) -> str:
+        nonlocal message_id, output_index
+        output_index = projected_output_index
+        message_id = requested_message_id or f"msg_{uuid.uuid4().hex}"
+        if message_id in streamed_message_ids:
+            message_id = f"msg_{uuid.uuid4().hex}"
+        streamed_message_ids.append(message_id)
+        return event(
+            "response.output_item.added",
+            output_index=output_index,
+            item={
+                "id": message_id,
+                "type": "message",
+                "role": "assistant",
+                "status": "in_progress",
+                "content": [],
+            },
+        )
+
+    def open_content_part(part_type: Literal["output_text", "refusal"]) -> str:
+        nonlocal content_index, content_type, content_text
+        if message_id is None:
+            raise RuntimeError("Cannot open response content without a message")
+        content_index += 1
+        content_type = part_type
+        content_text = ""
+        return event(
+            "response.content_part.added",
+            item_id=message_id,
+            output_index=output_index,
+            content_index=content_index,
+            part=part_value(part_type, ""),
+        )
+
+    def content_part_matches(part_type: Literal["output_text", "refusal"]) -> bool:
+        return content_type == part_type
+
+    def apply_streamed_message_ids(response: dict[str, Any]) -> None:
+        message_ids = iter(streamed_message_ids)
+        for output_item in response.get("output", []):
+            if not isinstance(output_item, MutableMapping):
+                continue
+            output_mapping = cast("MutableMapping[str, Any]", output_item)
+            if output_mapping.get("type") == "message":
+                try:
+                    output_mapping["id"] = next(message_ids)
+                except StopIteration:
+                    return
+
+    yield event("response.created", response=created_response)
+
     try:
         mark_feature_used(FeatureIndex.HOSTING_RESPONSES)
         async for update in stream:
             updates.append(update)
             if model is None:
                 model = _model_from_update(update)
-            if update.text:
-                yield _sse_event(
-                    "response.output_text.delta",
-                    {
-                        "type": "response.output_text.delta",
-                        "delta": update.text,
-                    },
+            update_role = update.role or projection_message_role
+            projection_message_changed = (
+                projection_message_role is not None
+                and update_role is not None
+                and update_role != projection_message_role
+            ) or (
+                projection_message_id is not None
+                and update.message_id is not None
+                and update.message_id != projection_message_id
+            )
+            if projection_message_changed:
+                if message_id is not None:
+                    for stream_event in close_message("completed"):
+                        yield stream_event
+                    committed_output_count = output_index + 1
+                seen_raw_projection_keys.clear()
+                seen_code_interpreter_projection_keys.clear()
+            if update_role is not None:
+                projection_message_role = update_role
+            if update.message_id is not None:
+                projection_message_id = update.message_id
+            for content in update.contents:
+                projected_update = copy(update)
+                projected_update.contents = [content]
+                if content.type == "text":
+                    text = content.text
+                    if not isinstance(text, str):
+                        continue
+                    is_active_annotation_carrier = (
+                        not text
+                        and bool(content.annotations)
+                        and message_id is not None
+                        and (update.message_id is None or update.message_id == message_id)
+                    )
+                    if is_active_annotation_carrier:
+                        continue
+                else:
+                    if code_key := _code_interpreter_projection_key(content):
+                        if code_key in seen_code_interpreter_projection_keys:
+                            if message_id is not None:
+                                for stream_event in close_content_part():
+                                    yield stream_event
+                            continue
+                        seen_code_interpreter_projection_keys.add(code_key)
+                    raw_item = _raw_response_output_item(content.raw_representation)
+                    if raw_item is not None:
+                        raw_key = _response_output_item_key(raw_item)
+                        if raw_key in seen_raw_projection_keys:
+                            continue
+                        seen_raw_projection_keys.add(raw_key)
+                    if content.type == "usage":
+                        continue
+                    if content.type == "error" and message_id is not None:
+                        continue
+                    if message_id is not None:
+                        for stream_event in close_message("completed"):
+                            yield stream_event
+                        committed_output_count = output_index + 1
+                    pending_projection_updates.append(projected_update)
+                    continue
+                requested_message_id = update.message_id
+                message_changed = (
+                    message_id is not None and requested_message_id is not None and requested_message_id != message_id
+                )
+                if message_changed:
+                    for stream_event in close_message("completed"):
+                        yield stream_event
+                    committed_output_count = output_index + 1
+                if message_id is None:
+                    projected_output_index = projected_message_output_index(projected_update)
+                    yield open_message(requested_message_id, projected_output_index)
+                    pending_projection_updates.clear()
+                requested_content_type: Literal["output_text", "refusal"] = (
+                    "refusal" if _is_refusal_text_content(content) else "output_text"
                 )
+                if not content_part_matches(requested_content_type):
+                    for stream_event in close_content_part():
+                        yield stream_event
+                    yield open_content_part(requested_content_type)
+                content_text += text
+                if not text:
+                    continue
+                delta_type = (
+                    "response.refusal.delta" if requested_content_type == "refusal" else "response.output_text.delta"
+                )
+                delta_payload: dict[str, Any] = {
+                    "item_id": message_id,
+                    "output_index": output_index,
+                    "content_index": content_index,
+                    "delta": text,
+                }
+                if requested_content_type == "output_text":
+                    delta_payload["logprobs"] = []
+                yield event(delta_type, **delta_payload)
 
         final = await stream.get_final_response()
         payload = responses_from_run(final, response_id=response_id, conversation_id=conversation_id)
+        apply_streamed_message_ids(payload)
         if model is not None:
             # The finalized `AgentResponse` never carries a raw representation
             # (see `_model_from_update`), so prefer the model observed on the
@@ -1145,23 +1401,23 @@ async def responses_from_streaming_run(
                 f"Response stream finalized with unsupported status {status!r}; "
                 "expected `completed`, `incomplete`, or `failed`"
             )
+        for stream_event in close_message(status):
+            yield stream_event
         terminal_event_type = f"response.{status}"
-        yield _sse_event(
-            terminal_event_type,
-            {
-                "type": terminal_event_type,
-                "response": payload,
-            },
-        )
+        yield event(terminal_event_type, response=payload)
     except Exception as exc:
-        partial_text = "".join(update.text for update in updates if update.text)
+        for stream_event in close_message("incomplete"):
+            yield stream_event
+        partial_contents = [
+            content for update in updates for content in update.contents if content.type == "text" and content.text
+        ]
         response_kwargs: dict[str, Any] = {
             "id": response_id,
             "object": "response",
             "created_at": int(time.time()),
             "status": "failed",
             "model": model or "agent",
-            "output": _text_output_items(partial_text, status="failed"),
+            "output": _contents_to_output_items(partial_contents, status="failed"),
             "parallel_tool_calls": False,
             "tool_choice": "auto",
             "tools": [],
@@ -1173,12 +1429,11 @@ async def responses_from_streaming_run(
         }
         if conversation_id is not None:
             response_kwargs["conversation"] = {"id": conversation_id}
-        yield _sse_event(
+        failed_response = _response_payload(OpenAIResponse(**response_kwargs))
+        apply_streamed_message_ids(failed_response)
+        yield event(
             "response.failed",
-            {
-                "type": "response.failed",
-                "response": _response_payload(OpenAIResponse(**response_kwargs)),
-            },
+            response=failed_response,
         )
 
 
diff --git a/python/packages/hosting-responses/tests/hosting_responses/test_parsing.py b/python/packages/hosting-responses/tests/hosting_responses/test_parsing.py
index 765694ec437..23a0753f768 100644
--- a/python/packages/hosting-responses/tests/hosting_responses/test_parsing.py
+++ b/python/packages/hosting-responses/tests/hosting_responses/test_parsing.py
@@ -8,12 +8,21 @@
 import warnings
 from collections.abc import AsyncIterator, Sequence
 from types import SimpleNamespace
-from typing import cast
+from typing import Any, cast
 
 import pytest
-from agent_framework import AgentResponse, AgentResponseUpdate, Content, Message, ResponseStream, UsageDetails
+from agent_framework import (
+    AgentResponse,
+    AgentResponseUpdate,
+    Annotation,
+    Content,
+    Message,
+    ResponseStream,
+    UsageDetails,
+)
 from openai.types.responses.response_usage import InputTokensDetails, ResponseUsage
 
+import agent_framework_hosting_responses._parsing as parsing_module
 from agent_framework_hosting_responses import (
     create_conversation_id,
     create_response_id,
@@ -30,6 +39,10 @@ def _sse_payload(event: str) -> dict[str, object]:
     return cast("dict[str, object]", json.loads(data_line.removeprefix("data: ")))
 
 
+def _sse_types(events: Sequence[str]) -> list[object]:
+    return [_sse_payload(event)["type"] for event in events]
+
+
 def _native_usage_payload() -> dict[str, object]:
     input_tokens_details = {"cached_tokens": 1}
     if "cache_write_tokens" in InputTokensDetails.model_fields:
@@ -79,6 +92,19 @@ def test_message_envelope_with_content_parts(self) -> None:
         ])
         assert msgs[0].text == "describe this"
 
+    def test_message_envelope_marks_refusal_text(self) -> None:
+        msgs = messages_from_responses_input([
+            {
+                "type": "message",
+                "role": "assistant",
+                "content": [{"type": "refusal", "refusal": "I cannot help."}],
+            }
+        ])
+
+        assert msgs[0].contents[0].type == "text"
+        assert msgs[0].contents[0].text == "I cannot help."
+        assert msgs[0].contents[0].additional_properties == {"model_output_kind": "refusal"}
+
     def test_message_envelope_rejects_non_object_content_item(self) -> None:
         with pytest.raises(ValueError, match="content.*object"):
             messages_from_responses_input([{"type": "message", "role": "user", "content": ["bad"]}])
@@ -263,6 +289,23 @@ def test_responses_from_run_returns_response_payload(self) -> None:
         assert payload["model"] == "test-model"
         assert payload["output"][0]["content"][0]["text"] == "hello"
 
+    def test_responses_from_run_reconstructs_refusal_content_from_marked_text(self) -> None:
+        result = AgentResponse(
+            messages=Message(
+                role="assistant",
+                contents=[
+                    Content.from_text(
+                        "I cannot help.",
+                        additional_properties={"model_output_kind": "refusal"},
+                    )
+                ],
+            )
+        )
+
+        payload = responses_from_run(result, response_id="resp_new")
+
+        assert payload["output"][0]["content"] == [{"type": "refusal", "refusal": "I cannot help."}]
+
     def test_responses_from_run_preserves_message_boundaries(self) -> None:
         result = AgentResponse(
             messages=[
@@ -746,11 +789,416 @@ def finalizer(items: Sequence[AgentResponseUpdate]) -> AgentResponse:
 
         assert events[0].startswith("event: response.created")
         assert '"conversation":{"id":"conv_1"}' in events[0]
-        assert "response.output_text.delta" in events[1]
-        assert "hel" in events[1]
-        assert "lo" in events[2]
+        assert _sse_types(events) == [
+            "response.created",
+            "response.output_item.added",
+            "response.content_part.added",
+            "response.output_text.delta",
+            "response.output_text.delta",
+            "response.output_text.done",
+            "response.content_part.done",
+            "response.output_item.done",
+            "response.completed",
+        ]
+        assert "hel" in events[3]
+        assert "lo" in events[4]
         assert events[-1].startswith("event: response.completed")
         assert '"conversation":{"id":"conv_1"}' in events[-1]
+        done_item = cast("dict[str, object]", _sse_payload(events[-2])["item"])
+        completed_response = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        completed_output = cast("list[dict[str, object]]", completed_response["output"])
+        assert done_item["id"] == completed_output[0]["id"]
+
+    async def test_responses_from_streaming_run_preserves_marked_refusal_deltas(self) -> None:
+        marker = {"model_output_kind": "refusal"}
+
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("I cannot ", additional_properties=marker)],
+                role="assistant",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("help.", additional_properties=marker)],
+                role="assistant",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+
+        assert _sse_types(events) == [
+            "response.created",
+            "response.output_item.added",
+            "response.content_part.added",
+            "response.refusal.delta",
+            "response.refusal.delta",
+            "response.refusal.done",
+            "response.content_part.done",
+            "response.output_item.done",
+            "response.completed",
+        ]
+        refusal_delta = _sse_payload(events[3])
+        assert refusal_delta["item_id"]
+        assert refusal_delta["output_index"] == 0
+        assert refusal_delta["content_index"] == 0
+        assert refusal_delta["sequence_number"] == 3
+        completed = _sse_payload(events[-1])
+        response = cast("dict[str, object]", completed["response"])
+        output = cast("list[dict[str, object]]", response["output"])
+        content = cast("list[dict[str, object]]", output[0]["content"])
+        assert content == [{"type": "refusal", "refusal": "I cannot help."}]
+
+    async def test_responses_from_streaming_run_preserves_mixed_text_and_refusal_parts(self) -> None:
+        marker = {"model_output_kind": "refusal"}
+
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("Partial answer.")],
+                role="assistant",
+                message_id="msg_mixed",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("I cannot continue.", additional_properties=marker)],
+                role="assistant",
+                message_id="msg_mixed",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+
+        assert _sse_types(events) == [
+            "response.created",
+            "response.output_item.added",
+            "response.content_part.added",
+            "response.output_text.delta",
+            "response.output_text.done",
+            "response.content_part.done",
+            "response.content_part.added",
+            "response.refusal.delta",
+            "response.refusal.done",
+            "response.content_part.done",
+            "response.output_item.done",
+            "response.completed",
+        ]
+        part_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.content_part.added"
+        ]
+        assert [(part["item_id"], part["content_index"]) for part in part_events] == [
+            ("msg_mixed", 0),
+            ("msg_mixed", 1),
+        ]
+        completed = _sse_payload(events[-1])
+        response = cast("dict[str, object]", completed["response"])
+        output = cast("list[dict[str, object]]", response["output"])
+        assert output[0]["content"] == [
+            {"type": "output_text", "text": "Partial answer.", "annotations": []},
+            {"type": "refusal", "refusal": "I cannot continue."},
+        ]
+
+    @pytest.mark.parametrize(
+        ("text_content", "expected_part_type"),
+        [
+            (Content.from_text("Done."), "output_text"),
+            (
+                Content.from_text(
+                    "I cannot continue.",
+                    additional_properties={"model_output_kind": "refusal"},
+                ),
+                "refusal",
+            ),
+        ],
+    )
+    async def test_streaming_message_reserves_preceding_function_call_index(
+        self,
+        text_content: Content,
+        expected_part_type: str,
+    ) -> None:
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[
+                    Content.from_function_call("call_1", "lookup", arguments={"city": "Seattle"}),
+                    text_content,
+                ],
+                role="assistant",
+                message_id="msg_after_call",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+        added = next(
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.added"
+        )
+        done = next(
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.done"
+        )
+        completed = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        output = cast("list[dict[str, object]]", completed["output"])
+
+        assert [item["type"] for item in output] == ["function_call", "message"]
+        assert added["output_index"] == 1
+        assert done["output_index"] == 1
+        done_item = cast("dict[str, object]", done["item"])
+        assert done_item["id"] == output[1]["id"]
+        message_content = cast("list[dict[str, object]]", output[1]["content"])
+        assert message_content[0]["type"] == expected_part_type
+
+    async def test_streaming_text_function_refusal_uses_final_output_indexes(self) -> None:
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("Partial answer.")],
+                role="assistant",
+                message_id="msg_mixed_output",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_function_call("call_1", "lookup", arguments={"city": "Seattle"})],
+                role="assistant",
+                message_id="msg_mixed_output",
+            )
+            yield AgentResponseUpdate(
+                contents=[
+                    Content.from_text(
+                        "I cannot continue.",
+                        additional_properties={"model_output_kind": "refusal"},
+                    )
+                ],
+                role="assistant",
+                message_id="msg_mixed_output",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+        added_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.added"
+        ]
+        done_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.done"
+        ]
+        completed = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        output = cast("list[dict[str, object]]", completed["output"])
+
+        assert [item["type"] for item in output] == ["message", "function_call", "message"]
+        assert [event["output_index"] for event in added_events] == [0, 2]
+        assert [event["output_index"] for event in done_events] == [0, 2]
+        done_ids = [cast("dict[str, object]", event["item"])["id"] for event in done_events]
+        assert done_ids == [output[0]["id"], output[2]["id"]]
+        first_content = cast("list[dict[str, object]]", output[0]["content"])
+        second_content = cast("list[dict[str, object]]", output[2]["content"])
+        assert first_content[0]["type"] == "output_text"
+        assert second_content[0]["type"] == "refusal"
+
+    async def test_streaming_paired_mcp_output_reserves_one_index_before_refusal(self) -> None:
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[
+                    Content.from_mcp_server_tool_call(
+                        "mcp_1",
+                        "lookup",
+                        server_name="server",
+                        arguments={"city": "Seattle"},
+                    ),
+                    Content.from_mcp_server_tool_result("mcp_1", output="sunny"),
+                    Content.from_text(
+                        "I cannot continue.",
+                        additional_properties={"model_output_kind": "refusal"},
+                    ),
+                ],
+                role="assistant",
+                message_id="msg_after_mcp",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+        added = next(
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.added"
+        )
+        completed = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        output = cast("list[dict[str, object]]", completed["output"])
+
+        assert [item["type"] for item in output] == ["mcp_call", "message"]
+        assert added["output_index"] == 1
+        assert cast("dict[str, object]", added["item"])["id"] == output[1]["id"]
+
+    async def test_streaming_output_index_projection_work_is_linear(
+        self,
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        projected_content_counts: list[int] = []
+        original = parsing_module._result_to_output_items  # pyright: ignore[reportPrivateUsage]
+
+        def tracking_result_to_output_items(result: object, *, status: str) -> Any:
+            if status == "in_progress":
+                messages = getattr(result, "messages", [])
+                projected_content_counts.append(sum(len(message.contents) for message in messages))
+            return original(result, status=status)
+
+        monkeypatch.setattr(parsing_module, "_result_to_output_items", tracking_result_to_output_items)
+
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            for index in range(100):
+                message_id = f"msg_{index}"
+                yield AgentResponseUpdate(
+                    contents=[Content.from_function_call(f"call_{index}", "lookup", arguments={})],
+                    role="assistant",
+                    message_id=message_id,
+                )
+                yield AgentResponseUpdate(
+                    contents=[Content.from_text("done")],
+                    role="assistant",
+                    message_id=message_id,
+                )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        _ = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+
+        assert projected_content_counts == [2] * 100
+
+    async def test_empty_text_annotation_does_not_split_streaming_message(self) -> None:
+        annotation = Annotation(type="citation", title="Source", url="https://example.com")
+
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("Before")],
+                role="assistant",
+                message_id="msg_annotations",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("", annotations=[annotation])],
+                role="assistant",
+                message_id="msg_annotations",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text(" after")],
+                role="assistant",
+                message_id="msg_annotations",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+        added_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.added"
+        ]
+        delta_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_text.delta"
+        ]
+        done = next(
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.done"
+        )
+        completed = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        output = cast("list[dict[str, object]]", completed["output"])
+
+        assert len(added_events) == 1
+        assert [event["delta"] for event in delta_events] == ["Before", " after"]
+        assert done["output_index"] == 0
+        assert cast("dict[str, object]", done["item"])["id"] == output[0]["id"]
+
+    async def test_empty_annotation_in_new_message_keeps_terminal_output_indexes(self) -> None:
+        annotation = Annotation(type="citation", title="Source", url="https://example.com")
+
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("First")],
+                role="assistant",
+                message_id="msg_first",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("", annotations=[annotation])],
+                role="assistant",
+                message_id="msg_second",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_function_call("call_1", "lookup", arguments={})],
+                role="assistant",
+                message_id="msg_second",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("Second")],
+                role="assistant",
+                message_id="msg_second",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+        added_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.added"
+        ]
+        done_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.done"
+        ]
+        completed = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        output = cast("list[dict[str, object]]", completed["output"])
+
+        assert [item["type"] for item in output] == ["message", "message", "function_call", "message"]
+        assert [event["output_index"] for event in added_events] == [0, 1, 3]
+        assert [event["output_index"] for event in done_events] == [0, 1, 3]
+        done_ids = [cast("dict[str, object]", event["item"])["id"] for event in done_events]
+        assert done_ids == [output[0]["id"], output[1]["id"], output[3]["id"]]
+
+    async def test_repeated_code_interpreter_chunk_does_not_reserve_new_output_index(self) -> None:
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[
+                    Content.from_code_interpreter_tool_call(
+                        call_id="ci_1",
+                        inputs=[Content.from_text("print(")],
+                    )
+                ],
+                role="assistant",
+                message_id="msg_code",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text("Working.")],
+                role="assistant",
+                message_id="msg_code",
+            )
+            yield AgentResponseUpdate(
+                contents=[
+                    Content.from_code_interpreter_tool_call(
+                        call_id="ci_1",
+                        inputs=[Content.from_text("'done')")],
+                    )
+                ],
+                role="assistant",
+                message_id="msg_code",
+            )
+            yield AgentResponseUpdate(
+                contents=[Content.from_text(" Finished.")],
+                role="assistant",
+                message_id="msg_code",
+            )
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+        added_events = [
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.added"
+        ]
+        done = next(
+            _sse_payload(event) for event in events if _sse_payload(event)["type"] == "response.output_item.done"
+        )
+        completed = cast("dict[str, object]", _sse_payload(events[-1])["response"])
+        output = cast("list[dict[str, object]]", completed["output"])
+
+        assert [item["type"] for item in output] == ["code_interpreter_call", "message"]
+        assert len(added_events) == 1
+        assert added_events[0]["output_index"] == 1
+        assert done["output_index"] == 1
+        done_item = cast("dict[str, object]", done["item"])
+        assert done_item["id"] == output[1]["id"]
+        done_content = cast("list[dict[str, object]]", done_item["content"])
+        terminal_content = cast("list[dict[str, object]]", output[1]["content"])
+        assert [(part["type"], part["text"]) for part in done_content] == [
+            ("output_text", "Working."),
+            ("output_text", " Finished."),
+        ]
+        assert done_content == terminal_content
+        assert output[0]["code"] == "print('done')"
 
     async def test_responses_from_streaming_run_emits_failed_when_iteration_raises(self) -> None:
         async def updates() -> AsyncIterator[AgentResponseUpdate]:
@@ -769,7 +1217,7 @@ async def updates() -> AsyncIterator[AgentResponseUpdate]:
         ]
 
         assert events[0].startswith("event: response.created")
-        assert "response.output_text.delta" in events[1]
+        assert "response.output_text.delta" in _sse_types(events)
         assert events[-1].startswith("event: response.failed")
         payload = _sse_payload(events[-1])
         response = cast("dict[str, object]", payload["response"])
@@ -780,6 +1228,29 @@ async def updates() -> AsyncIterator[AgentResponseUpdate]:
         assert error["message"] == "upstream blew up"
         assert "partial" in events[-1]
 
+    async def test_failed_stream_preserves_partial_marked_refusal(self) -> None:
+        async def updates() -> AsyncIterator[AgentResponseUpdate]:
+            yield AgentResponseUpdate(
+                contents=[
+                    Content.from_text(
+                        "I cannot help.",
+                        additional_properties={"model_output_kind": "refusal"},
+                    )
+                ],
+                role="assistant",
+            )
+            raise RuntimeError("upstream blew up")
+
+        stream = ResponseStream(updates(), finalizer=AgentResponse.from_updates)
+
+        events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
+
+        failed = _sse_payload(events[-1])
+        response = cast("dict[str, object]", failed["response"])
+        output = cast("list[dict[str, object]]", response["output"])
+        content = cast("list[dict[str, object]]", output[0]["content"])
+        assert content == [{"type": "refusal", "refusal": "I cannot help."}]
+
     async def test_responses_from_streaming_run_preserves_final_metadata_and_usage(self) -> None:
         async def updates() -> AsyncIterator[AgentResponseUpdate]:
             yield AgentResponseUpdate(contents=[Content.from_text("hello")], role="assistant")
@@ -883,7 +1354,7 @@ def finalizer(items: Sequence[AgentResponseUpdate]) -> AgentResponse:
         events = [event async for event in responses_from_streaming_run(stream, response_id="resp_new")]
 
         assert events[0].startswith("event: response.created")
-        assert "response.output_text.delta" in events[1]
+        assert "response.output_text.delta" in _sse_types(events)
         assert events[-1].startswith("event: response.failed")
         payload = _sse_payload(events[-1])
         response = cast("dict[str, object]", payload["response"])
diff --git a/python/packages/openai/AGENTS.md b/python/packages/openai/AGENTS.md
index a61e5601d88..2dc541ca802 100644
--- a/python/packages/openai/AGENTS.md
+++ b/python/packages/openai/AGENTS.md
@@ -61,6 +61,11 @@ Both default to `None` (no-op → byte-identical stock OpenAI behavior) and are
 **both**: the parser surfaces the field for display, the preparer sends it back. Prefer a dedicated
 client (e.g. `agent-framework-mistral`) when an endpoint diverges substantially.
 
+Native Responses and Chat Completions refusals remain ordinary text content with the experimental
+`additional_properties["model_output_kind"] == "refusal"` marker. Assistant history reconstructs
+the provider's native refusal field without splitting mixed text/refusal turns; non-assistant
+marked text is sent as ordinary input text.
+
 ## Dependencies
 
 - `agent-framework-core` — core abstractions
diff --git a/python/packages/openai/agent_framework_openai/_chat_client.py b/python/packages/openai/agent_framework_openai/_chat_client.py
index 7965bddd16c..5518850055e 100644
--- a/python/packages/openai/agent_framework_openai/_chat_client.py
+++ b/python/packages/openai/agent_framework_openai/_chat_client.py
@@ -136,6 +136,14 @@ class _PromptCacheOptions(TypedDict, total=False):
 
 logger = logging.getLogger("agent_framework.openai")
 
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
+
+
+def _is_refusal_text_content(content: Content) -> bool:
+    return content.type == "text" and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL
+
+
 DEFAULT_AZURE_OPENAI_RESPONSES_API_VERSION = "preview"
 
 OPENAI_SHELL_ENVIRONMENT_KEY = "openai.responses.shell.environment"
@@ -1878,6 +1886,11 @@ def _prepare_content_for_openai(
         role = Role(role)
         match content.type:
             case "text":
+                if role == "assistant" and _is_refusal_text_content(content):
+                    return {
+                        "type": "refusal",
+                        "refusal": content.text,
+                    }
                 if role == "assistant":
                     # Assistant history is represented as output text items; Azure validation
                     # requires `annotations` to be present for this type.
@@ -2751,6 +2764,7 @@ def _parse_response_from_openai(
                                 contents.append(
                                     Content.from_text(
                                         text=message_content.refusal,
+                                        additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
                                         raw_representation=message_content,
                                     )
                                 )
@@ -3041,7 +3055,13 @@ def output_text_properties(output: Any) -> dict[str, Any] | None:
                         )
                         metadata.update(self._get_metadata_from_response(event_part))
                     case "refusal":
-                        contents.append(Content.from_text(text=event_part.refusal, raw_representation=event))
+                        contents.append(
+                            Content.from_text(
+                                text=event_part.refusal,
+                                additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+                                raw_representation=event,
+                            )
+                        )
                     case _:
                         pass
             case "response.output_text.delta":
@@ -3053,6 +3073,14 @@ def output_text_properties(output: Any) -> dict[str, Any] | None:
                     )
                 )
                 metadata.update(self._get_metadata_from_response(event))
+            case "response.refusal.delta":
+                contents.append(
+                    Content.from_text(
+                        text=event.delta,
+                        additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+                        raw_representation=event,
+                    )
+                )
             case "response.reasoning_text.delta":
                 if seen_reasoning_delta_item_ids is not None:
                     seen_reasoning_delta_item_ids.add(event.item_id)
diff --git a/python/packages/openai/agent_framework_openai/_chat_completion_client.py b/python/packages/openai/agent_framework_openai/_chat_completion_client.py
index f38fef1077b..270ed875a6c 100644
--- a/python/packages/openai/agent_framework_openai/_chat_completion_client.py
+++ b/python/packages/openai/agent_framework_openai/_chat_completion_client.py
@@ -99,6 +99,14 @@ class _PromptCacheOptions(TypedDict, total=False):
 
 logger = logging.getLogger("agent_framework.openai")
 
+_MODEL_OUTPUT_KIND_KEY = "model_output_kind"
+_MODEL_OUTPUT_REFUSAL = "refusal"
+
+
+def _is_refusal_text_content(content: Content) -> bool:
+    return content.type == "text" and content.additional_properties.get(_MODEL_OUTPUT_KIND_KEY) == _MODEL_OUTPUT_REFUSAL
+
+
 # Error message shared with tests — extracted to a constant to keep the
 # implementation and its assertions in sync.
 _AZURE_WEB_SEARCH_UNSUPPORTED_MSG = (
@@ -850,6 +858,8 @@ def _parse_response_from_openai(self, response: ChatCompletion, options: Mapping
             contents: list[Content] = []
             if text_content := self._parse_text_from_openai(choice):
                 contents.append(text_content)
+            if refusal_content := self._parse_refusal_from_openai(choice):
+                contents.append(refusal_content)
             if parsed_tool_calls := [tool for tool in self._parse_tool_calls_from_openai(choice)]:
                 contents.extend(parsed_tool_calls)
             if reasoning_details := getattr(choice.message, "reasoning_details", None):
@@ -899,6 +909,8 @@ def _parse_response_update_from_openai(
             choice_contents.extend(self._parse_tool_calls_from_openai(choice))
             if text_content := self._parse_text_from_openai(choice):
                 choice_contents.append(text_content)
+            if refusal_content := self._parse_refusal_from_openai(choice):
+                choice_contents.append(refusal_content)
             if reasoning_details := getattr(choice.delta, "reasoning_details", None):
                 choice_contents.append(Content.from_text_reasoning(protected_data=json.dumps(reasoning_details)))
             if self.response_parser is not None:
@@ -951,8 +963,17 @@ def _parse_text_from_openai(self, choice: Choice | ChunkChoice) -> Content | Non
             if not isinstance(message.content, str):
                 return None
             return Content.from_text(text=message.content, raw_representation=choice)
+        return None
+
+    def _parse_refusal_from_openai(self, choice: Choice | ChunkChoice) -> Content | None:
+        """Parse a refusal as text carrying an experimental model-output marker."""
+        message = choice.message if isinstance(choice, Choice) else choice.delta
         if hasattr(message, "refusal") and message.refusal:
-            return Content.from_text(text=message.refusal, raw_representation=choice)
+            return Content.from_text(
+                text=message.refusal,
+                additional_properties={_MODEL_OUTPUT_KIND_KEY: _MODEL_OUTPUT_REFUSAL},
+                raw_representation=choice,
+            )
         return None
 
     def _get_metadata_from_chat_response(self, response: ChatCompletion) -> dict[str, Any]:
@@ -1066,6 +1087,7 @@ def _build_openai_messages(self, message: Message) -> list[dict[str, Any]]:
 
         all_messages: list[dict[str, Any]] = []
         pending_reasoning: Any = None
+        assistant_refusal_parts: list[str] = []
         for content in message.contents:
             # Skip approval content - it's internal framework state, not for the LLM
             if content.type in ("function_approval_request", "function_approval_response"):
@@ -1111,6 +1133,9 @@ def _build_openai_messages(self, message: Message) -> list[dict[str, Any]]:
                     if content.text is None:
                         continue
                     args["content"] = [{"type": "text", "text": content.text}]
+                case "text" if message.role == "assistant" and _is_refusal_text_content(content):
+                    assistant_refusal_parts.append(content.text or "")
+                    continue
                 case _:
                     prepared_content = self._prepare_content_for_openai(content)
                     if prepared_content:
@@ -1138,6 +1163,48 @@ def _build_openai_messages(self, message: Message) -> list[dict[str, Any]]:
                     pending_args["name"] = author_name
                 all_messages.append(pending_args)
 
+        if assistant_refusal_parts:
+            merged_assistant: dict[str, Any] | None = None
+            merged_messages: list[dict[str, Any]] = []
+            for prepared_message in all_messages:
+                if prepared_message.get("role") != "assistant" or "tool_call_id" in prepared_message:
+                    merged_messages.append(prepared_message)
+                    continue
+                if merged_assistant is None:
+                    merged_assistant = prepared_message
+                    merged_messages.append(merged_assistant)
+                    continue
+                incoming_content = prepared_message.get("content")
+                existing_content = merged_assistant.get("content")
+                if isinstance(existing_content, list) and isinstance(incoming_content, list):
+                    cast("list[Any]", existing_content).extend(cast("list[Any]", incoming_content))
+                elif isinstance(existing_content, str) and isinstance(incoming_content, str):
+                    merged_assistant["content"] = existing_content + incoming_content
+                elif isinstance(existing_content, list) and isinstance(incoming_content, str):
+                    cast("list[Any]", existing_content).append({"type": "text", "text": incoming_content})
+                elif isinstance(existing_content, str) and isinstance(incoming_content, list):
+                    merged_assistant["content"] = [
+                        {"type": "text", "text": existing_content},
+                        *cast("list[Any]", incoming_content),
+                    ]
+                elif incoming_content is not None:
+                    merged_assistant["content"] = incoming_content
+                if incoming_tool_calls := prepared_message.get("tool_calls"):
+                    merged_assistant.setdefault("tool_calls", []).extend(incoming_tool_calls)
+                for key, value in prepared_message.items():
+                    if key not in {"role", "content", "tool_calls"}:
+                        merged_assistant.setdefault(key, value)
+            if merged_assistant is None:
+                merged_assistant = {
+                    "role": "assistant",
+                    "content": None,
+                }
+                if author_name := _sanitize_author_name(message.author_name):
+                    merged_assistant["name"] = author_name
+                merged_messages.append(merged_assistant)
+            merged_assistant["refusal"] = "".join(assistant_refusal_parts)
+            all_messages = merged_messages
+
         # Flatten text-only content lists to plain strings for broader
         # compatibility with OpenAI-like endpoints (e.g. Foundry Local).
         # See https://github.com/microsoft/agent-framework/issues/4084
diff --git a/python/packages/openai/tests/openai/test_openai_chat_client.py b/python/packages/openai/tests/openai/test_openai_chat_client.py
index a1eacb4ea4f..7258c50cae9 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_client.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_client.py
@@ -1612,6 +1612,44 @@ def test_response_content_creation_with_refusal() -> None:
     assert len(response.messages[0].contents) == 1
     assert response.messages[0].contents[0].type == "text"
     assert response.messages[0].contents[0].text == "I cannot provide that information."
+    assert response.messages[0].contents[0].additional_properties == {"model_output_kind": "refusal"}
+
+
+def test_streaming_refusal_delta_creates_marked_text() -> None:
+    client = OpenAIChatClient(model="test-model", api_key="test-key")
+    event = MagicMock()
+    event.type = "response.refusal.delta"
+    event.delta = "I cannot help with that."
+
+    update = client._parse_chunk_from_openai(event, {}, {})
+
+    assert len(update.contents) == 1
+    assert update.contents[0].type == "text"
+    assert update.contents[0].text == "I cannot help with that."
+    assert update.contents[0].additional_properties == {"model_output_kind": "refusal"}
+
+
+def test_prepare_marked_refusal_text_uses_native_assistant_shape_and_input_text_fallback() -> None:
+    client = OpenAIChatClient(model="test-model", api_key="test-key")
+    refusal = Content.from_text(
+        "I cannot help with that.",
+        additional_properties={"model_output_kind": "refusal"},
+    )
+
+    assert client._prepare_message_for_openai(Message(role="assistant", contents=[refusal])) == [
+        {
+            "type": "message",
+            "role": "assistant",
+            "content": [{"type": "refusal", "refusal": "I cannot help with that."}],
+        }
+    ]
+    assert client._prepare_message_for_openai(Message(role="user", contents=[refusal])) == [
+        {
+            "type": "message",
+            "role": "user",
+            "content": [{"type": "input_text", "text": "I cannot help with that."}],
+        }
+    ]
 
 
 def test_response_content_creation_with_reasoning() -> None:
diff --git a/python/packages/openai/tests/openai/test_openai_chat_completion_client.py b/python/packages/openai/tests/openai/test_openai_chat_completion_client.py
index fe628d3e0aa..01f02601204 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_completion_client.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_completion_client.py
@@ -1357,6 +1357,32 @@ def test_streaming_chunk_with_usage_and_text(
     assert text_content.text == "Hello world"
 
 
+def test_streaming_chunk_with_refusal(openai_unit_test_env: dict[str, str]) -> None:
+    from openai.types.chat.chat_completion_chunk import ChatCompletionChunk, Choice, ChoiceDelta
+
+    client = OpenAIChatCompletionClient()
+    chunk = ChatCompletionChunk(
+        id="test-chunk",
+        object="chat.completion.chunk",
+        created=1234567890,
+        model="gpt-4o",
+        choices=[
+            Choice(
+                index=0,
+                delta=ChoiceDelta(refusal="I cannot help.", role="assistant"),
+                finish_reason=None,
+            )
+        ],
+    )
+
+    update = client._parse_response_update_from_openai(chunk)
+
+    assert len(update.contents) == 1
+    assert update.contents[0].type == "text"
+    assert update.contents[0].text == "I cannot help."
+    assert update.contents[0].additional_properties == {"model_output_kind": "refusal"}
+
+
 def test_parse_text_with_refusal(openai_unit_test_env: dict[str, str]) -> None:
     """Test that refusal content is parsed correctly."""
     from openai.types.chat.chat_completion import ChatCompletion, Choice
@@ -1391,6 +1417,101 @@ def test_parse_text_with_refusal(openai_unit_test_env: dict[str, str]) -> None:
     assert len(message.contents) == 1
     assert message.contents[0].type == "text"
     assert message.contents[0].text == "I cannot provide that information."
+    assert message.contents[0].additional_properties == {"model_output_kind": "refusal"}
+
+
+def test_parse_text_and_refusal_preserves_both(openai_unit_test_env: dict[str, str]) -> None:
+    from openai.types.chat.chat_completion import ChatCompletion, Choice
+    from openai.types.chat.chat_completion_message import ChatCompletionMessage
+
+    client = OpenAIChatCompletionClient()
+    response = ChatCompletion(
+        id="test-response",
+        object="chat.completion",
+        created=1234567890,
+        model="gpt-4o",
+        choices=[
+            Choice(
+                index=0,
+                message=ChatCompletionMessage(
+                    role="assistant",
+                    content="Partial answer.",
+                    refusal="I cannot continue.",
+                ),
+                finish_reason="stop",
+            )
+        ],
+    )
+
+    parsed = client._parse_response_from_openai(response, {})
+
+    assert [(content.text, content.additional_properties) for content in parsed.messages[0].contents] == [
+        ("Partial answer.", {}),
+        ("I cannot continue.", {"model_output_kind": "refusal"}),
+    ]
+
+
+def test_prepare_marked_refusal_uses_native_assistant_field_and_text_fallback(
+    openai_unit_test_env: dict[str, str],
+) -> None:
+    client = OpenAIChatCompletionClient()
+    refusal = Content.from_text(
+        "I cannot help with that.",
+        additional_properties={"model_output_kind": "refusal"},
+    )
+
+    assert client._prepare_message_for_openai(Message(role="assistant", contents=[refusal])) == [
+        {"role": "assistant", "content": None, "refusal": "I cannot help with that."}
+    ]
+    assert client._prepare_message_for_openai(Message(role="user", contents=[refusal])) == [
+        {"role": "user", "content": "I cannot help with that."}
+    ]
+
+
+def test_prepare_mixed_text_and_refusal_uses_one_assistant_message(
+    openai_unit_test_env: dict[str, str],
+) -> None:
+    client = OpenAIChatCompletionClient()
+    message = Message(
+        role="assistant",
+        contents=[
+            Content.from_text("Partial answer."),
+            Content.from_text(
+                "I cannot continue.",
+                additional_properties={"model_output_kind": "refusal"},
+            ),
+        ],
+    )
+
+    assert client._prepare_message_for_openai(message) == [
+        {
+            "role": "assistant",
+            "content": "Partial answer.",
+            "refusal": "I cannot continue.",
+        }
+    ]
+
+
+def test_prepare_text_refusal_text_uses_one_assistant_message(
+    openai_unit_test_env: dict[str, str],
+) -> None:
+    client = OpenAIChatCompletionClient()
+    message = Message(
+        role="assistant",
+        contents=[
+            Content.from_text("A"),
+            Content.from_text("B", additional_properties={"model_output_kind": "refusal"}),
+            Content.from_text("C"),
+        ],
+    )
+
+    assert client._prepare_message_for_openai(message) == [
+        {
+            "role": "assistant",
+            "content": "A\nC",
+            "refusal": "B",
+        }
+    ]
 
 
 def test_prepare_options_without_model(openai_unit_test_env: dict[str, str]) -> None:
diff --git a/python/uv.lock b/python/uv.lock
index 1775f578580..1796c497525 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -76,50 +76,50 @@ overrides = [
 [[package]]
 name = "a2a-sdk"
 version = "1.1.2"
-source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "culsans", marker = "python_full_version < '3.13'" },
-    { name = "google-api-core" },
-    { name = "googleapis-common-protos" },
-    { name = "httpx" },
-    { name = "json-rpc" },
-    { name = "packaging" },
-    { name = "protobuf" },
-    { name = "pydantic" },
+    { name = "culsans", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" },
+    { name = "google-api-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "googleapis-common-protos", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "json-rpc", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "protobuf", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://ms-feed-17.pkgs.visualstudio.com/02a0e93b-9e7a-46f6-8851-5a56920f8f7e/_packaging/2aa351dc-4441-4d20-a430-25f505f2a55a/pypi/download/a2a-sdk/1.1.2/a2a_sdk-1.1.2.tar.gz", hash = "sha256:f928d8bf9a0dc0a473ee8258bd5226c1b8520a85c70e7f233c3b9b0e30a1bd10" }
+sdist = { url = "https://files.pythonhosted.org/packages/38/cc/59b35c518d8289bd59d20d9d216ca29ccb41c4697eb85971efe41d1adaf3/a2a_sdk-1.1.2.tar.gz", hash = "sha256:f928d8bf9a0dc0a473ee8258bd5226c1b8520a85c70e7f233c3b9b0e30a1bd10", size = 379627, upload-time = "2026-07-22T13:40:51.409Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/c1/33/d414a03d5ef5a7d6d09a20dc9f8094e7fb9edb488662ff99c535a2a62cf1/a2a_sdk-1.1.2-py3-none-any.whl", hash = "sha256:eb9a698f526dc45a9ea967d7804e7aa363ff273d2c44fbed699bc68c9399f9c9", size = 245981, upload-time = "2026-07-22T13:40:49.484Z" },
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 [[package]]
 name = "addict"
 version = "2.4.0"
-source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }
-sdist = { url = "https://ms-feed-17.pkgs.visualstudio.com/02a0e93b-9e7a-46f6-8851-5a56920f8f7e/_packaging/2aa351dc-4441-4d20-a430-25f505f2a55a/pypi/download/addict/2.4/addict-2.4.0.tar.gz", hash = "sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494" }
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/85/ef/fd7649da8af11d93979831e8f1f8097e85e82d5bfeabc8c68b39175d8e75/addict-2.4.0.tar.gz", hash = "sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494", size = 9186, upload-time = "2020-11-21T16:21:31.416Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/6a/00/b08f23b7d7e1e14ce01419a467b583edbb93c6cdb8654e54a9cc579cd61f/addict-2.4.0-py3-none-any.whl", hash = "sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc", size = 3832, upload-time = "2020-11-21T16:21:29.588Z" },
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 [[package]]
 name = "ag-ui-a2ui-toolkit"
 version = "0.0.4"
-source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }
-sdist = { url = "https://ms-feed-12.pkgs.visualstudio.com/80ca31fc-64d9-45fa-acb1-85ac9c6202b2/_packaging/00cb4235-4c66-4418-be20-d052995979fb/pypi/download/ag-ui-a2ui-toolkit/0.0.4/ag_ui_a2ui_toolkit-0.0.4.tar.gz", hash = "sha256:172e2724e53df8173685a3fb896a6e5175eea06e1dc166c715db110ba4beba76" }
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f0/ce/85f3960a83d962e5690bc0f27a3baf3bf1602edc2b0603085928c964ea14/ag_ui_a2ui_toolkit-0.0.4.tar.gz", hash = "sha256:172e2724e53df8173685a3fb896a6e5175eea06e1dc166c715db110ba4beba76", size = 18960, upload-time = "2026-06-17T13:34:28.695Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/47/7a/acf85b01cd996bd011b71e181fd9f3daff5396fc3b7d78ba9445bfc08ecf/ag_ui_a2ui_toolkit-0.0.4-py3-none-any.whl", hash = "sha256:236fc511e1ec2399bcda0c14a109b3fb0a0c3e3988c18ef1918745b1c1535e30", size = 21315, upload-time = "2026-06-17T13:34:29.505Z" },
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 [[package]]
 name = "ag-ui-protocol"
 version = "0.1.19"
-source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pydantic" },
+    { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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-sdist = { url = "https://ms-feed-12.pkgs.visualstudio.com/80ca31fc-64d9-45fa-acb1-85ac9c6202b2/_packaging/00cb4235-4c66-4418-be20-d052995979fb/pypi/download/ag-ui-protocol/0.1.19/ag_ui_protocol-0.1.19.tar.gz", hash = "sha256:43c27f60d41712dcad0e9e0a203cbdf1c8e248b22417374c5c68321c448af4ea" }
+sdist = { url = "https://files.pythonhosted.org/packages/a7/10/4ad299267a7d04b89935aa99eef62979758fcf95aee9f8bb5d70c35b1be1/ag_ui_protocol-0.1.19.tar.gz", hash = "sha256:43c27f60d41712dcad0e9e0a203cbdf1c8e248b22417374c5c68321c448af4ea", size = 10720, upload-time = "2026-06-02T17:26:15.627Z" }
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+    { url = "https://files.pythonhosted.org/packages/4c/0a/bcad8116eb058e4b4a305e3fc37ebd7efc879deeb86b854f1c5b8b6e97dd/ag_ui_protocol-0.1.19-py3-none-any.whl", hash = "sha256:898843b1410d378824da0c6a776486288b9c5828689d0bf563118868e37f390f", size = 13490, upload-time = "2026-06-02T17:26:16.313Z" },
 ]
 
 [[package]]
@@ -127,35 +127,35 @@ name = "agent-framework"
 version = "1.16.0"
 source = { virtual = "." }
 dependencies = [
-    { name = "agent-framework-core", extra = ["all"] },
+    { name = "agent-framework-core", extra = ["all"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "flit" },
-    { name = "mypy" },
-    { name = "opentelemetry-sdk" },
-    { name = "poethepoet" },
-    { name = "prek" },
-    { name = "pyrefly" },
-    { name = "pyright" },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-cov" },
-    { name = "pytest-retry" },
-    { name = "pytest-timeout" },
-    { name = "pytest-xdist", extra = ["psutil"] },
-    { name = "rich" },
-    { name = "ruff" },
-    { name = "tomli" },
-    { name = "ty" },
-    { name = "uv" },
-    { name = "zuban" },
+    { name = "flit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mypy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "poethepoet", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "prek", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pyrefly", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pyright", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-asyncio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-cov", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-retry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-timeout", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-xdist", extra = ["psutil"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "rich", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "ruff", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "tomli", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "ty", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "uv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "zuban", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 test = [
-    { name = "agent-hooks-sdk" },
-    { name = "azure-monitor-opentelemetry" },
-    { name = "mcp", extra = ["ws"] },
+    { name = "agent-hooks-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-monitor-opentelemetry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mcp", extra = ["ws"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -194,8 +194,8 @@ name = "agent-framework-a2a"
 version = "1.0.0b260821"
 source = { editable = "packages/a2a" }
 dependencies = [
-    { name = "a2a-sdk" },
-    { name = "agent-framework-core" },
+    { name = "a2a-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -209,25 +209,25 @@ name = "agent-framework-ag-ui"
 version = "1.2.1"
 source = { editable = "packages/ag-ui" }
 dependencies = [
-    { name = "ag-ui-protocol" },
-    { name = "agent-framework-core" },
-    { name = "fastapi" },
-    { name = "httpx" },
-    { name = "sse-starlette" },
-    { name = "uvicorn", extra = ["standard"] },
+    { name = "ag-ui-protocol", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "fastapi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "sse-starlette", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "uvicorn", extra = ["standard"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.optional-dependencies]
 a2ui = [
-    { name = "ag-ui-a2ui-toolkit" },
+    { name = "ag-ui-a2ui-toolkit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 dev = [
-    { name = "pytest" },
+    { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 test = [
-    { name = "agent-framework-orchestrations" },
+    { name = "agent-framework-orchestrations", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -251,8 +251,8 @@ name = "agent-framework-anthropic"
 version = "1.0.0b260827"
 source = { editable = "packages/anthropic" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "anthropic" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "anthropic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -266,8 +266,8 @@ name = "agent-framework-azure-ai-search"
 version = "1.0.0b260827"
 source = { editable = "packages/azure-ai-search" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "azure-search-documents" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-search-documents", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -281,11 +281,11 @@ name = "agent-framework-azure-contentunderstanding"
 version = "1.0.0b260813"
 source = { editable = "packages/azure-contentunderstanding" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-foundry" },
-    { name = "aiohttp" },
-    { name = "azure-ai-contentunderstanding" },
-    { name = "filetype" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-foundry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "aiohttp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-ai-contentunderstanding", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "filetype", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -302,9 +302,9 @@ name = "agent-framework-azure-cosmos"
 version = "1.0.0b260821"
 source = { editable = "packages/azure-cosmos" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "azure-cosmos" },
-    { name = "six" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-cosmos", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "six", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -319,16 +319,16 @@ name = "agent-framework-azure-cosmos-memory"
 version = "1.0.0a260813"
 source = { editable = "packages/azure-cosmos-memory" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "azure-cosmos-agent-memory" },
-    { name = "prompty" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-cosmos-agent-memory", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "prompty", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-cov" },
+    { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-asyncio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest-cov", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -348,16 +348,16 @@ dev = [
 [[package]]
 name = "agent-framework-azurefunctions"
 version = "1.0.0b260730"
-source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-durabletask" },
-    { name = "azure-functions" },
-    { name = "azure-functions-durable" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-durabletask", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-functions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-functions-durable", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://ms-feed-2.pkgs.visualstudio.com/f5581750-f66a-4ee8-b9cc-8269930bd7c4/_packaging/637e612b-d5d4-45c1-8a31-e0deb2a5a828/pypi/download/agent-framework-azurefunctions/1b260730/agent_framework_azurefunctions-1.0.0b260730.tar.gz", hash = "sha256:d686dad93d048e6409377c8b9c26c87aca62bbc2054240a752f1daaa18ee53cf" }
+sdist = { url = "https://files.pythonhosted.org/packages/7f/51/358ca285536098786143113d6f683d4ee08316545503a039975e6a39e518/agent_framework_azurefunctions-1.0.0b260730.tar.gz", hash = "sha256:d686dad93d048e6409377c8b9c26c87aca62bbc2054240a752f1daaa18ee53cf", size = 33039, upload-time = "2026-07-30T23:38:44.926Z" }
 wheels = [
-    { url = "https://ms-feed-2.pkgs.visualstudio.com/f5581750-f66a-4ee8-b9cc-8269930bd7c4/_packaging/637e612b-d5d4-45c1-8a31-e0deb2a5a828/pypi/download/agent-framework-azurefunctions/1b260730/agent_framework_azurefunctions-1.0.0b260730-py3-none-any.whl", hash = "sha256:fbf7d73a8ee4d676a937196f2c7f6f2a9137eb787d1c7cb39f1b7a5363d57ad2" },
+    { url = "https://files.pythonhosted.org/packages/cc/9f/72c97ba481afc34d8f76e27e3d6ed8fcbefd54189810c5b0a24eafa48a5d/agent_framework_azurefunctions-1.0.0b260730-py3-none-any.whl", hash = "sha256:fbf7d73a8ee4d676a937196f2c7f6f2a9137eb787d1c7cb39f1b7a5363d57ad2", size = 37274, upload-time = "2026-07-30T23:37:25.745Z" },
 ]
 
 [[package]]
@@ -365,9 +365,9 @@ name = "agent-framework-bedrock"
 version = "1.0.0b260730"
 source = { editable = "packages/bedrock" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "boto3" },
-    { name = "botocore" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "boto3", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "botocore", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -382,8 +382,8 @@ name = "agent-framework-chatkit"
 version = "1.0.0b260730"
 source = { editable = "packages/chatkit" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "openai-chatkit" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "openai-chatkit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -397,8 +397,8 @@ name = "agent-framework-claude"
 version = "1.0.0b260813"
 source = { editable = "packages/claude" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "claude-agent-sdk" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "claude-agent-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -412,10 +412,10 @@ name = "agent-framework-copilotstudio"
 version = "1.0.0b260813"
 source = { editable = "packages/copilotstudio" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "aiohttp" },
-    { name = "microsoft-agents-copilotstudio-client" },
-    { name = "msal" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "aiohttp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "microsoft-agents-copilotstudio-client", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "msal", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -431,51 +431,51 @@ name = "agent-framework-core"
 version = "1.16.0"
 source = { editable = "packages/core" }
 dependencies = [
-    { name = "msgspec" },
-    { name = "opentelemetry-api" },
-    { name = "pydantic" },
-    { name = "python-dotenv" },
-    { name = "typing-extensions" },
+    { name = "msgspec", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "python-dotenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.optional-dependencies]
 all = [
-    { name = "agent-framework-a2a" },
-    { name = "agent-framework-ag-ui" },
-    { name = "agent-framework-anthropic" },
-    { name = "agent-framework-azure-ai-search" },
-    { name = "agent-framework-azure-contentunderstanding" },
-    { name = "agent-framework-azure-cosmos" },
-    { name = "agent-framework-azurefunctions" },
-    { name = "agent-framework-bedrock" },
-    { name = "agent-framework-chatkit" },
-    { name = "agent-framework-claude" },
-    { name = "agent-framework-copilotstudio" },
-    { name = "agent-framework-declarative" },
-    { name = "agent-framework-devui" },
-    { name = "agent-framework-durabletask" },
-    { name = "agent-framework-foundry" },
-    { name = "agent-framework-foundry-hosting" },
-    { name = "agent-framework-foundry-local" },
-    { name = "agent-framework-gemini" },
-    { name = "agent-framework-github-copilot" },
+    { name = "agent-framework-a2a", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-ag-ui", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-anthropic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-azure-ai-search", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-azure-contentunderstanding", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-azure-cosmos", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-azurefunctions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-bedrock", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-chatkit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-claude", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-copilotstudio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-declarative", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-devui", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-durabletask", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-foundry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-foundry-hosting", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-foundry-local", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-gemini", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-github-copilot", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "agent-framework-hyperlight", marker = "(python_full_version < '3.14' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version < '3.14' and platform_machine == 'AMD64' and sys_platform == 'win32')" },
-    { name = "agent-framework-lab" },
-    { name = "agent-framework-mem0" },
-    { name = "agent-framework-mistral" },
-    { name = "agent-framework-monty" },
-    { name = "agent-framework-ollama" },
-    { name = "agent-framework-openai" },
-    { name = "agent-framework-orchestrations" },
-    { name = "agent-framework-purview" },
-    { name = "agent-framework-redis" },
-    { name = "agent-framework-tools" },
-    { name = "mcp", extra = ["ws"] },
+    { name = "agent-framework-lab", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-mem0", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-mistral", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-monty", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-orchestrations", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-purview", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-redis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-tools", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mcp", extra = ["ws"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "azure-ai-agentserver-core" },
+    { name = "azure-ai-agentserver-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -527,15 +527,15 @@ name = "agent-framework-declarative"
 version = "1.0.3"
 source = { editable = "packages/declarative" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "httpx" },
-    { name = "powerfx", marker = "python_full_version < '3.14'" },
-    { name = "pyyaml" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "powerfx", marker = "(python_full_version < '3.14' and sys_platform == 'darwin') or (python_full_version < '3.14' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform == 'win32')" },
+    { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "types-pyyaml" },
+    { name = "types-pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -554,22 +554,22 @@ name = "agent-framework-devui"
 version = "1.0.0b260821"
 source = { editable = "packages/devui" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "fastapi" },
-    { name = "openai" },
-    { name = "opentelemetry-sdk" },
-    { name = "uvicorn", extra = ["standard"] },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "fastapi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "uvicorn", extra = ["standard"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.optional-dependencies]
 all = [
-    { name = "pytest" },
-    { name = "watchdog" },
+    { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "watchdog", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 dev = [
-    { name = "agent-framework-orchestrations" },
-    { name = "pytest" },
-    { name = "watchdog" },
+    { name = "agent-framework-orchestrations", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "watchdog", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -590,16 +590,16 @@ provides-extras = ["dev", "all"]
 [[package]]
 name = "agent-framework-durabletask"
 version = "1.0.0b260730"
-source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "durabletask" },
-    { name = "durabletask-azuremanaged" },
-    { name = "python-dateutil" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "durabletask", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "durabletask-azuremanaged", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "python-dateutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://ms-feed-12.pkgs.visualstudio.com/80ca31fc-64d9-45fa-acb1-85ac9c6202b2/_packaging/00cb4235-4c66-4418-be20-d052995979fb/pypi/download/agent-framework-durabletask/1b260730/agent_framework_durabletask-1.0.0b260730.tar.gz", hash = "sha256:4c6ed98f7fedbd7733f110991a8eea9fe7254ca56d12e5198efd8991251698f2" }
+sdist = { url = "https://files.pythonhosted.org/packages/0e/e0/5113b292a854046e6af90cb869d9eb6f2f4c611bef10e9cbabcb138d00ee/agent_framework_durabletask-1.0.0b260730.tar.gz", hash = "sha256:4c6ed98f7fedbd7733f110991a8eea9fe7254ca56d12e5198efd8991251698f2", size = 72176, upload-time = "2026-07-30T23:38:59.338Z" }
 wheels = [
-    { url = "https://ms-feed-12.pkgs.visualstudio.com/80ca31fc-64d9-45fa-acb1-85ac9c6202b2/_packaging/00cb4235-4c66-4418-be20-d052995979fb/pypi/download/agent-framework-durabletask/1b260730/agent_framework_durabletask-1.0.0b260730-py3-none-any.whl", hash = "sha256:41b403b824e231be99643e32e019f35d50ded48c5a157e9938627aa0159ff34d" },
+    { url = "https://files.pythonhosted.org/packages/62/87/9bfb24812983efa30f1da875e09dc8b9788e9ab713b204939953781eed85/agent_framework_durabletask-1.0.0b260730-py3-none-any.whl", hash = "sha256:41b403b824e231be99643e32e019f35d50ded48c5a157e9938627aa0159ff34d", size = 85536, upload-time = "2026-07-30T23:37:42.819Z" },
 ]
 
 [[package]]
@@ -607,11 +607,11 @@ name = "agent-framework-foundry"
 version = "1.11.0"
 source = { editable = "packages/foundry" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-openai" },
-    { name = "aiohttp" },
-    { name = "azure-ai-inference" },
-    { name = "azure-ai-projects" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "aiohttp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-ai-inference", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-ai-projects", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -628,12 +628,12 @@ name = "agent-framework-foundry-hosting"
 version = "1.0.0b260827"
 source = { editable = "packages/foundry_hosting" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "azure-ai-agentserver-core" },
-    { name = "azure-ai-agentserver-invocations" },
-    { name = "azure-ai-agentserver-responses" },
-    { name = "httpx" },
-    { name = "mcp", extra = ["ws"] },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-ai-agentserver-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-ai-agentserver-invocations", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-ai-agentserver-responses", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mcp", extra = ["ws"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -651,9 +651,9 @@ name = "agent-framework-foundry-local"
 version = "1.0.0b260730"
 source = { editable = "packages/foundry_local" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-openai" },
-    { name = "foundry-local-sdk" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "foundry-local-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -668,8 +668,8 @@ name = "agent-framework-gemini"
 version = "1.0.0b260827"
 source = { editable = "packages/gemini" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "google-genai" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "google-genai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -683,8 +683,8 @@ name = "agent-framework-github-copilot"
 version = "1.0.3"
 source = { editable = "packages/github_copilot" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "github-copilot-sdk" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "github-copilot-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -698,7 +698,7 @@ name = "agent-framework-hosting"
 version = "1.0.0a260730"
 source = { editable = "packages/hosting" }
 dependencies = [
-    { name = "agent-framework-core" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -709,9 +709,9 @@ name = "agent-framework-hosting-a2a"
 version = "1.0.0a260730"
 source = { editable = "packages/hosting-a2a" }
 dependencies = [
-    { name = "a2a-sdk" },
-    { name = "agent-framework-core" },
-    { name = "agent-framework-hosting" },
+    { name = "a2a-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-hosting", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -726,10 +726,10 @@ name = "agent-framework-hosting-mcp"
 version = "1.0.0a260730"
 source = { editable = "packages/hosting-mcp" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-hosting" },
-    { name = "mcp", extra = ["ws"] },
-    { name = "pydantic" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-hosting", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mcp", extra = ["ws"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -745,15 +745,15 @@ name = "agent-framework-hosting-responses"
 version = "1.0.0a260730"
 source = { editable = "packages/hosting-responses" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-hosting" },
-    { name = "openai" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-hosting", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 test = [
-    { name = "fastapi" },
-    { name = "httpx" },
+    { name = "fastapi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -774,8 +774,8 @@ name = "agent-framework-hosting-telegram"
 version = "1.0.0a260730"
 source = { editable = "packages/hosting-telegram" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "agent-framework-hosting" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "agent-framework-hosting", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -789,10 +789,10 @@ name = "agent-framework-hyperlight"
 version = "1.0.0b260730"
 source = { editable = "packages/hyperlight" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "hyperlight-sandbox" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "hyperlight-sandbox", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "hyperlight-sandbox-backend-wasm", marker = "(python_full_version < '3.14' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version < '3.14' and platform_machine == 'AMD64' and sys_platform == 'win32')" },
-    { name = "hyperlight-sandbox-python-guest" },
+    { name = "hyperlight-sandbox-python-guest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -808,48 +808,48 @@ name = "agent-framework-lab"
 version = "1.0.0b260730"
 source = { editable = "packages/lab" }
 dependencies = [
-    { name = "agent-framework-core" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.optional-dependencies]
 gaia = [
-    { name = "huggingface-hub" },
-    { name = "opentelemetry-api" },
-    { name = "opentelemetry-sdk" },
-    { name = "orjson" },
-    { name = "pyarrow" },
-    { name = "pydantic" },
-    { name = "tqdm" },
+    { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "orjson", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pyarrow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 lightning = [
-    { name = "agentlightning" },
+    { name = "agentlightning", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 math = [
-    { name = "sympy" },
+    { name = "sympy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 tau2 = [
-    { name = "loguru" },
-    { name = "numpy", version = "2.4.6", source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }, marker = "python_full_version < '3.12'" },
-    { name = "numpy", version = "2.5.1", source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }, marker = "python_full_version >= '3.12'" },
-    { name = "pydantic" },
-    { name = "tiktoken" },
+    { name = "loguru", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and sys_platform == 'darwin') or (python_full_version < '3.12' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform == 'win32')" },
+    { name = "numpy", version = "2.5.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" },
+    { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "tiktoken", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "mypy" },
-    { name = "poethepoet" },
-    { name = "prek" },
-    { name = "pyright" },
-    { name = "pytest" },
-    { name = "rich" },
-    { name = "ruff" },
-    { name = "tomli" },
-    { name = "tomli-w" },
-    { name = "uv" },
+    { name = "mypy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "poethepoet", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "prek", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pyright", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "rich", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "ruff", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "tomli", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "tomli-w", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "uv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 tau2 = [
-    { name = "tau2" },
+    { name = "tau2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -891,8 +891,8 @@ name = "agent-framework-mem0"
 version = "1.0.0b260813"
 source = { editable = "packages/mem0" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "mem0ai" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mem0ai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -906,8 +906,8 @@ name = "agent-framework-mistral"
 version = "1.0.0b260827"
 source = { editable = "packages/mistral" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "mistralai" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "mistralai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -921,8 +921,8 @@ name = "agent-framework-monty"
 version = "1.0.0b260730"
 source = { editable = "packages/monty" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "pydantic-monty" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pydantic-monty", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -936,8 +936,8 @@ name = "agent-framework-ollama"
 version = "1.0.0b260813"
 source = { editable = "packages/ollama" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "ollama" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -951,8 +951,8 @@ name = "agent-framework-openai"
 version = "1.14.1"
 source = { editable = "packages/openai" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "openai" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -966,7 +966,7 @@ name = "agent-framework-orchestrations"
 version = "1.1.1"
 source = { editable = "packages/orchestrations" }
 dependencies = [
-    { name = "agent-framework-core" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -977,9 +977,9 @@ name = "agent-framework-purview"
 version = "1.0.0b260730"
 source = { editable = "packages/purview" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "azure-core" },
-    { name = "httpx" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -994,11 +994,11 @@ name = "agent-framework-redis"
 version = "1.0.0b260821"
 source = { editable = "packages/redis" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "numpy", version = "2.4.6", source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }, marker = "python_full_version < '3.12'" },
-    { name = "numpy", version = "2.5.1", source = { registry = "https://packagefeedproxy.microsoft.io/pypi/simple/" }, marker = "python_full_version >= '3.12'" },
-    { name = "redis" },
-    { name = "redisvl" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and sys_platform == 'darwin') or (python_full_version < '3.12' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform == 'win32')" },
+    { name = "numpy", version = "2.5.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" },
+    { name = "redis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "redisvl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -1014,8 +1014,8 @@ name = "agent-framework-tools"
 version = "1.0.0b260730"
 source = { editable = "packages/tools" }
 dependencies = [
-    { name = "agent-framework-core" },
-    { name = "psutil" },
+    { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "psutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 
 [package.metadata]
@@ -1027,1431 +1027,1431 @@ requires-dist = [
 [[package]]
 name = "agent-hooks-sdk"
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