diff --git a/src/agentex/lib/core/temporal/plugins/openai_agents/models/temporal_streaming_model.py b/src/agentex/lib/core/temporal/plugins/openai_agents/models/temporal_streaming_model.py
index 75dc0f053..38e3503d7 100644
--- a/src/agentex/lib/core/temporal/plugins/openai_agents/models/temporal_streaming_model.py
+++ b/src/agentex/lib/core/temporal/plugins/openai_agents/models/temporal_streaming_model.py
@@ -66,7 +66,7 @@
 from agentex.lib.core.tracing.tracer import AsyncTracer
 from agentex.types.task_message_delta import TextDelta, ToolRequestDelta, ReasoningContentDelta, ReasoningSummaryDelta
 from agentex.types.task_message_update import StreamTaskMessageFull, StreamTaskMessageDelta
-from agentex.types.task_message_content import TextContent, ReasoningContent, ToolRequestContent
+from agentex.types.task_message_content import TextContent, ReasoningContent, ToolRequestContent, ToolResponseContent
 from agentex.lib.adk.utils._modules.client import create_async_agentex_client
 from agentex.lib.core.temporal.plugins.openai_agents.interceptors.context_interceptor import (
     streaming_task_id,
@@ -123,6 +123,103 @@ def _serialize_item(item: Any) -> dict[str, Any]:
         return item_dict
 
 
+# Responses-API output items for server-side / hosted tools. These execute inside
+# the Responses API, so they never become function_call items AND the SDK's
+# RunHooks (on_tool_start/on_tool_end) never fire for them. The streaming loop
+# must surface them explicitly, as a tool request + response pair, when the item
+# completes (by then it carries the full query/result).
+_HOSTED_TOOL_TYPES = frozenset(
+    {
+        "web_search_call",
+        "file_search_call",
+        "code_interpreter_call",
+        "image_generation_call",
+        "mcp_call",
+        "computer_call",
+        "local_shell_call",
+    }
+)
+
+# Cap on the rendered hosted-tool result string (UI / trace readability).
+_HOSTED_TOOL_RESULT_CAP = 2000
+
+
+def _coerce_args(raw: Any) -> dict[str, Any]:
+    """Best-effort coerce a hosted-tool's arguments to a dict for the UI."""
+    if raw is None:
+        return {}
+    if isinstance(raw, dict):
+        return raw
+    if isinstance(raw, str):
+        try:
+            parsed = json.loads(raw)
+            return parsed if isinstance(parsed, dict) else {"value": parsed}
+        except (json.JSONDecodeError, ValueError):
+            return {"raw": raw}
+    serialized = _serialize_item(raw)
+    return serialized if isinstance(serialized, dict) else {"value": str(raw)}
+
+
+def _hosted_tool_request(item: Any) -> tuple[str, str, dict[str, Any]]:
+    """Extract (call_id, display_name, arguments) from a hosted-tool item."""
+    itype = getattr(item, "type", "") or ""
+    call_id = (
+        getattr(item, "id", "")
+        or getattr(item, "call_id", "")
+        or f"hosted_{uuid.uuid4().hex[:8]}"
+    )
+    name = itype[:-5] if itype.endswith("_call") else itype  # web_search_call -> web_search
+    args: dict[str, Any] = {}
+    if itype == "web_search_call":
+        action = getattr(item, "action", None)
+        if action is not None:
+            args = _coerce_args(action)
+    elif itype == "file_search_call":
+        args = {"queries": list(getattr(item, "queries", []) or [])}
+    elif itype == "code_interpreter_call":
+        args = {"code": getattr(item, "code", "") or ""}
+    elif itype in ("computer_call", "local_shell_call"):
+        # Both carry an `action` object: a ComputerAction (click/scroll/type/...)
+        # or a LocalShellCallAction (command/env/cwd). Surface it as the args so
+        # the trace shows what the tool actually did, not just its status.
+        action = getattr(item, "action", None)
+        if action is not None:
+            args = _coerce_args(action)
+    elif itype == "mcp_call":
+        mcp_name = getattr(item, "name", None) or "mcp"
+        server = getattr(item, "server_label", None)
+        name = f"{server}.{mcp_name}" if server else mcp_name
+        args = _coerce_args(getattr(item, "arguments", None))
+    return call_id, name, args
+
+
+def _hosted_tool_result(item: Any) -> str:
+    """Extract a short result string from a completed hosted-tool item."""
+    itype = getattr(item, "type", "") or ""
+    if itype == "mcp_call":
+        err = getattr(item, "error", None)
+        if err:
+            return f"error: {err}"
+        out = getattr(item, "output", None)
+        if out:
+            return str(out)
+    elif itype == "code_interpreter_call":
+        outputs = getattr(item, "outputs", None)
+        if outputs:
+            return json.dumps([_serialize_item(o) for o in outputs])[:_HOSTED_TOOL_RESULT_CAP]
+    elif itype == "file_search_call":
+        results = getattr(item, "results", None)
+        if results:
+            return json.dumps([_serialize_item(r) for r in results])[:_HOSTED_TOOL_RESULT_CAP]
+    elif itype == "image_generation_call":
+        # `result` is base64 image data; surface a compact reference instead of
+        # dumping the (large) payload into the trace.
+        result = getattr(item, "result", None)
+        if result:
+            return f"<image generated: {len(result)} bytes>"
+    return str(getattr(item, "status", "completed") or "completed")
+
+
 class TemporalStreamingModel(Model):
     """Custom model implementation with streaming support."""
 
@@ -481,6 +578,31 @@ def _convert_tool_choice(self, tool_choice: Any) -> Any:
             # Pass through as-is for other types
             return tool_choice
 
+    async def _post_tool_message(self, task_id: str, content: Any) -> None:
+        """Post a one-shot tool request/response message (no deltas).
+
+        Used for hosted/server-side tool calls (web_search, file_search,
+        code_interpreter, image generation, server-side mcp, ...) that execute
+        inside the Responses API and so never produce function_call items or fire
+        RunHooks. Each completed hosted tool is surfaced as a ToolRequestContent +
+        ToolResponseContent pair. Posting full (no deltas) means the coalescing
+        path that the streamed reasoning/text contexts use does not apply here.
+        """
+        try:
+            async with adk.streaming.streaming_task_message_context(
+                task_id=task_id,
+                initial_content=content,
+            ) as ctx:
+                await ctx.stream_update(
+                    StreamTaskMessageFull(
+                        parent_task_message=ctx.task_message,
+                        content=content,
+                        type="full",
+                    )
+                )
+        except Exception as e:  # noqa: BLE001 - UI surfacing must never break a turn
+            logger.warning(f"[TemporalStreamingModel] failed to post hosted-tool message: {e}")
+
     @override
     async def get_response(
         self,
@@ -942,6 +1064,33 @@ async def get_response(
                                     finally:
                                         call_data['context'] = None
 
+                        elif item and getattr(item, 'type', None) in _HOSTED_TOOL_TYPES:
+                            # Hosted / server-side tool call (web_search, file_search,
+                            # code_interpreter, image generation, server-side mcp, ...).
+                            # These run inside the Responses API: no function_call item
+                            # and no RunHooks fire, so surface the completed call as a
+                            # tool request + response pair (it carries the full
+                            # query/result by the time it's done).
+                            call_id, name, args = _hosted_tool_request(item)
+                            await self._post_tool_message(
+                                task_id,
+                                ToolRequestContent(
+                                    author="agent",
+                                    tool_call_id=call_id,
+                                    name=name,
+                                    arguments=args,
+                                ),
+                            )
+                            await self._post_tool_message(
+                                task_id,
+                                ToolResponseContent(
+                                    author="agent",
+                                    tool_call_id=call_id,
+                                    name=name,
+                                    content={"result": _hosted_tool_result(item)[:_HOSTED_TOOL_RESULT_CAP]},
+                                ),
+                            )
+
                     elif isinstance(event, ResponseReasoningSummaryPartAddedEvent):
                         # New reasoning part/summary started - reset accumulator
                         part = getattr(event, 'part', None)
diff --git a/src/agentex/lib/core/temporal/plugins/openai_agents/tests/test_hosted_tools.py b/src/agentex/lib/core/temporal/plugins/openai_agents/tests/test_hosted_tools.py
new file mode 100644
index 000000000..066d6f2ed
--- /dev/null
+++ b/src/agentex/lib/core/temporal/plugins/openai_agents/tests/test_hosted_tools.py
@@ -0,0 +1,135 @@
+"""Unit tests for hosted/server-side tool rendering helpers.
+
+These cover the pure extraction helpers used by TemporalStreamingModel to surface
+Responses-API hosted tools (web_search, file_search, code_interpreter, mcp, ...)
+as ToolRequest/ToolResponse pairs. They never become function_call items, so the
+streaming loop must render them explicitly.
+"""
+
+from __future__ import annotations
+
+from types import SimpleNamespace
+
+from openai.types.responses.response_output_item import (
+    LocalShellCall,
+    ImageGenerationCall,
+    LocalShellCallAction,
+)
+from openai.types.responses.response_computer_tool_call import ActionClick, ResponseComputerToolCall
+from openai.types.responses.response_function_web_search import ActionSearch, ResponseFunctionWebSearch
+
+from agentex.lib.core.temporal.plugins.openai_agents.models.temporal_streaming_model import (
+    _HOSTED_TOOL_TYPES,
+    _coerce_args,
+    _hosted_tool_result,
+    _hosted_tool_request,
+)
+
+
+def test_hosted_tool_types_membership():
+    for t in ("web_search_call", "file_search_call", "code_interpreter_call",
+              "image_generation_call", "mcp_call", "computer_call", "local_shell_call"):
+        assert t in _HOSTED_TOOL_TYPES
+    assert "function_call" not in _HOSTED_TOOL_TYPES
+
+
+def test_coerce_args_variants():
+    assert _coerce_args(None) == {}
+    assert _coerce_args({"a": 1}) == {"a": 1}
+    assert _coerce_args('{"a": 1}') == {"a": 1}
+    assert _coerce_args("[1, 2]") == {"value": [1, 2]}
+    assert _coerce_args("not json") == {"raw": "not json"}
+
+
+def test_hosted_tool_request_web_search():
+    # Use the real Responses-API type to prove `action` is a genuine SDK field
+    # (it is on ResponseFunctionWebSearch), not a hand-crafted stand-in.
+    item = ResponseFunctionWebSearch(
+        id="ws_1",
+        status="completed",
+        type="web_search_call",
+        action=ActionSearch(type="search", query="agentex"),
+    )
+    call_id, name, args = _hosted_tool_request(item)
+    assert call_id == "ws_1"
+    assert name == "web_search"  # "_call" stripped
+    assert args["query"] == "agentex"
+    assert args["type"] == "search"
+
+
+def test_hosted_tool_request_computer_call():
+    item = ResponseComputerToolCall(
+        id="cc_1",
+        call_id="ccall_1",
+        type="computer_call",
+        status="completed",
+        pending_safety_checks=[],
+        action=ActionClick(type="click", button="left", x=10, y=20),
+    )
+    call_id, name, args = _hosted_tool_request(item)
+    assert call_id == "cc_1"
+    assert name == "computer"
+    assert args["type"] == "click"
+    assert args["button"] == "left"
+    assert args["x"] == 10 and args["y"] == 20
+
+
+def test_hosted_tool_request_local_shell_call():
+    item = LocalShellCall(
+        id="ls_1",
+        call_id="lscall_1",
+        type="local_shell_call",
+        status="completed",
+        action=LocalShellCallAction(type="exec", command=["ls", "-la"], env={}),
+    )
+    call_id, name, args = _hosted_tool_request(item)
+    assert call_id == "ls_1"
+    assert name == "local_shell"
+    assert args["command"] == ["ls", "-la"]
+
+
+def test_hosted_tool_request_mcp_uses_server_label():
+    item = SimpleNamespace(type="mcp_call", id="m_1", name="search",
+                           server_label="linear", arguments='{"q": "x"}')
+    call_id, name, args = _hosted_tool_request(item)
+    assert call_id == "m_1"
+    assert name == "linear.search"
+    assert args == {"q": "x"}
+
+
+def test_hosted_tool_request_file_search_queries():
+    item = SimpleNamespace(type="file_search_call", id="fs_1",
+                           queries=["q1", "q2"])
+    _, name, args = _hosted_tool_request(item)
+    assert name == "file_search"
+    assert args == {"queries": ["q1", "q2"]}
+
+
+def test_hosted_tool_request_falls_back_to_generated_id():
+    item = SimpleNamespace(type="code_interpreter_call", code="print(1)")
+    call_id, name, args = _hosted_tool_request(item)
+    assert call_id.startswith("hosted_")
+    assert name == "code_interpreter"
+    assert args == {"code": "print(1)"}
+
+
+def test_hosted_tool_result_mcp_error_and_output():
+    err_item = SimpleNamespace(type="mcp_call", error="boom")
+    assert "boom" in _hosted_tool_result(err_item)
+    ok_item = SimpleNamespace(type="mcp_call", error=None, output="done")
+    assert _hosted_tool_result(ok_item) == "done"
+
+
+def test_hosted_tool_result_image_generation():
+    item = ImageGenerationCall(
+        id="ig_1",
+        type="image_generation_call",
+        status="completed",
+        result="QUJD",  # 4 chars of (fake) base64
+    )
+    assert _hosted_tool_result(item) == "<image generated: 4 bytes>"
+
+
+def test_hosted_tool_result_falls_back_to_status():
+    item = SimpleNamespace(type="web_search_call", status="completed")
+    assert _hosted_tool_result(item) == "completed"