feat: add client side tools to mapper and runtime

src/uipath_langchain/agent/tools/client_side_tool.py

@@ -0,0 +1,95 @@
+"""Factory for creating client-side tools that execute on the client SDK."""
+
+import inspect
+import json
+from logging import getLogger
+from typing import Annotated, Any
+
+from langchain_core.messages import ToolMessage
+from langchain_core.tools import InjectedToolCallId, StructuredTool
+from uipath.agent.models.agent import AgentClientSideToolResourceConfig
+from uipath.eval.mocks import mockable
+
+from uipath_langchain._utils.durable_interrupt import durable_interrupt
+from uipath_langchain.agent.react.jsonschema_pydantic_converter import (
+    create_model as create_model_from_schema,
+)
+
+from .utils import sanitize_tool_name
+
+logger = getLogger(__name__)
+
+CLIENT_SIDE_TOOL_MARKER = "uipath_client_tool"
+
+
+def create_client_side_tool(
+    resource: AgentClientSideToolResourceConfig,
+) -> StructuredTool:
+    """Create a client-side tool that pauses the graph and waits for the client to execute it.
+
+    The tool uses @durable_interrupt to suspend the graph. The client SDK receives
+    an executingToolCall event, runs its registered handler, and sends endToolCall
+    back through CAS. The bridge routes that endToolCall to wait_for_resume(),
+    which unblocks the graph with the client's result.
+    """
+    tool_name = sanitize_tool_name(resource.name)
+    input_model = create_model_from_schema(resource.input_schema)
+
+    async def client_side_tool_fn(
+        *, tool_call_id: Annotated[str, InjectedToolCallId], **kwargs: Any
+    ) -> Any:
+        @mockable(
+            name=resource.name,
+            description=resource.description,
+            input_schema=input_model.model_json_schema(),
+            output_schema=(resource.output_schema or {}),
+            example_calls=getattr(resource.properties, 'example_calls', None),
+        )
+        @durable_interrupt
+        async def wait_for_client_execution() -> dict[str, Any]:
+            return {
+                "tool_call_id": tool_call_id,
+                "tool_name": tool_name,
+                "input": kwargs,
+                "is_execution_phase": True,
+            }
+
+        # First run: raises GraphInterrupt with the tool call info.
+        # On resume: returns the client's result (output, isError, etc.)
+        # During evals: @mockable intercepts and returns simulated response.
+        result = await wait_for_client_execution()
+
+        # The resume value from the bridge is the endToolCall payload
+        output = result.get("output")
+        is_error = result.get("is_error", False)
+
+        content = str(output) if output is not None else ""
+        if isinstance(output, dict):
+            content = json.dumps(output)
+
+        return ToolMessage(
+            content=content,
+            tool_call_id=tool_call_id,
+            status="error" if is_error else "success",
+            response_metadata={CLIENT_SIDE_TOOL_MARKER: True},
+        )
+
+    # Patch signature so LangChain injects tool_call_id at runtime
+    original_sig = inspect.signature(client_side_tool_fn)
+    params = [p for p in original_sig.parameters.values() if p.name != "kwargs"] + [
+        inspect.Parameter("kwargs", inspect.Parameter.VAR_KEYWORD, annotation=Any),
+    ]
+    client_side_tool_fn.__signature__ = original_sig.replace(parameters=params)
+
+    tool = StructuredTool(
+        name=tool_name,
+        description=resource.description or f"Client-side tool: {tool_name}",
+        args_schema=input_model,
+        coroutine=client_side_tool_fn,
+        metadata={
+            CLIENT_SIDE_TOOL_MARKER: True,
+            "output_schema": resource.output_schema,
+        },
+    )
+
+    return tool

src/uipath_langchain/agent/tools/tool_factory.py

@@ -5,6 +5,7 @@
 from langchain_core.language_models import BaseChatModel
 from langchain_core.tools import BaseTool
 from uipath.agent.models.agent import (
+    AgentClientSideToolResourceConfig,
     AgentContextResourceConfig,
     AgentEscalationResourceConfig,
     AgentIntegrationToolResourceConfig,
@@ -18,6 +19,7 @@
 
 from uipath_langchain.chat.hitl import REQUIRE_CONVERSATIONAL_CONFIRMATION
 
+from .client_side_tool import create_client_side_tool
 from .context_tool import create_context_tool
 from .escalation_tool import create_escalation_tool
 from .extraction_tool import create_ixp_extraction_tool
@@ -120,4 +122,7 @@ async def _build_tool_for_resource(
     elif isinstance(resource, AgentIxpVsEscalationResourceConfig):
         return create_ixp_escalation_tool(resource)
 
+    elif isinstance(resource, AgentClientSideToolResourceConfig):
+        return create_client_side_tool(resource)
+
     return None

src/uipath_langchain/chat/hitl.py

@@ -126,12 +126,18 @@ def request_approval(
     """
     tool_call_id: str = tool_args.pop("tool_call_id")
 
+    # If this is a server-side tool (not client-side), execution follows immediately
+    # after confirmation — mark this as the execution trigger so the bridge emits
+    # executingToolCall. For client-side tools, the execution interrupt sets this instead.
+    is_execution_trigger = not (tool.metadata or {}).get("uipath_client_tool", False)
+
     @durable_interrupt
     def ask_confirmation():
         return {
             "tool_call_id": tool_call_id,
             "tool_name": tool.name,
             "input": tool_args,
+            "is_execution_phase": is_execution_trigger,
         }
 
     response = ask_confirmation()

src/uipath_langchain/runtime/messages.py

@@ -24,6 +24,7 @@
     UiPathConversationContentPartEndEvent,
     UiPathConversationContentPartEvent,
     UiPathConversationContentPartStartEvent,
+    UiPathConversationExecutingToolCallEvent,
     UiPathConversationMessage,
     UiPathConversationMessageData,
     UiPathConversationMessageEndEvent,
@@ -60,6 +61,7 @@ def __init__(self, runtime_id: str, storage: UiPathRuntimeStorageProtocol | None
         self.storage = storage
         self.current_message: AIMessageChunk | AIMessage
         self.tools_requiring_confirmation: dict[str, Any] = {}
+        self.client_side_tools: dict[str, Any] = {}  # {tool_name: output_schema}
         self.seen_message_ids: set[str] = set()
         self._storage_lock = asyncio.Lock()
         self._citation_stream_processor = CitationStreamProcessor()
@@ -436,15 +438,39 @@ async def map_current_message_to_start_tool_call_events(self):
                             tool_name in self.tools_requiring_confirmation
                         )
                         input_schema = self.tools_requiring_confirmation.get(tool_name)
+                        is_client_side = tool_name in self.client_side_tools
+                        output_schema = (
+                            self.client_side_tools.get(tool_name)
+                            if is_client_side
+                            else None
+                        )
                         events.append(
                             self.map_tool_call_to_tool_call_start_event(
                                 self.current_message.id,
                                 tool_call,
                                 require_confirmation=require_confirmation or None,
                                 input_schema=input_schema,
+                                is_client_side_tool=is_client_side or None,
+                                output_schema=output_schema,
                             )
                         )
 
+                        # Emit executingToolCall from MessageMapper since there's no durable interrupt
+                        # to trigger it from the runtime loop.
+                        if not require_confirmation and not is_client_side:
+                            events.append(
+                                UiPathConversationMessageEvent(
+                                    message_id=self.current_message.id,
+                                    tool_call=UiPathConversationToolCallEvent(
+                                        tool_call_id=tool_call["id"],
+                                        executing=UiPathConversationExecutingToolCallEvent(
+                                            tool_name=tool_call["name"],
+                                            input=tool_call["args"],
+                                        ),
+                                    ),
+                                )
+                            )
+
                 if self.storage is not None:
                     await self.storage.set_value(
                         self.runtime_id,
@@ -476,19 +502,24 @@ async def map_tool_message_to_events(
                 # Keep as string if not valid JSON
                 pass
 
-        events = [
-            UiPathConversationMessageEvent(
-                message_id=message_id,
-                tool_call=UiPathConversationToolCallEvent(
-                    tool_call_id=message.tool_call_id,
-                    end=UiPathConversationToolCallEndEvent(
-                        timestamp=self.get_timestamp(),
-                        output=content_value,
-                        is_error=message.status == "error",
+        # Suppress endToolCall for client-side tools — the client already has the result (it produced it).
+        is_client_side = message.response_metadata.get("uipath_client_tool", False)
+        events: list[UiPathConversationMessageEvent] = []
+
+        if not is_client_side:
+            events.append(
+                UiPathConversationMessageEvent(
+                    message_id=message_id,
+                    tool_call=UiPathConversationToolCallEvent(
+                        tool_call_id=message.tool_call_id,
+                        end=UiPathConversationToolCallEndEvent(
+                            timestamp=self.get_timestamp(),
+                            output=content_value,
+                            is_error=message.status == "error",
+                        ),
                     ),
-                ),
+                )
             )
-        ]
 
         if is_last_tool_call:
             events.append(self.map_to_message_end_event(message_id))
@@ -546,6 +577,8 @@ def map_tool_call_to_tool_call_start_event(
         *,
         require_confirmation: bool | None = None,
         input_schema: Any | None = None,
+        is_client_side_tool: bool | None = None,
+        output_schema: Any | None = None,
     ) -> UiPathConversationMessageEvent:
         return UiPathConversationMessageEvent(
             message_id=message_id,
@@ -557,6 +590,8 @@ def map_tool_call_to_tool_call_start_event(
                     input=tool_call["args"],
                     require_confirmation=require_confirmation,
                     input_schema=input_schema,
+                    is_client_side_tool=is_client_side_tool,
+                    output_schema=output_schema,
                 ),
             ),
         )

src/uipath_langchain/runtime/runtime.py

@@ -30,6 +30,7 @@
 )
 from uipath.runtime.schema import UiPathRuntimeSchema
 
+from uipath_langchain.agent.tools.client_side_tool import CLIENT_SIDE_TOOL_MARKER
 from uipath_langchain.agent.tools.tool_node import RunnableCallableWithTool
 from uipath_langchain.chat.hitl import get_confirmation_schema
 from uipath_langchain.runtime.errors import LangGraphErrorCode, LangGraphRuntimeError
@@ -68,6 +69,7 @@ def __init__(
         self.callbacks: list[BaseCallbackHandler] = callbacks or []
         self.chat = UiPathChatMessagesMapper(self.runtime_id, storage)
         self.chat.tools_requiring_confirmation = self._get_tool_confirmation_info()
+        self.chat.client_side_tools = self._get_client_side_tools()
         self._middleware_node_names: set[str] = self._detect_middleware_nodes()
 
     async def execute(
@@ -522,6 +524,34 @@ def _get_tool_confirmation_info(self) -> dict[str, Any]:
 
         return schemas
 
+    def _get_client_side_tools(self) -> dict[str, Any]:
+        """Build {tool_name: output_schema} for client-side tools from compiled graph nodes."""
+
+        tools: dict[str, Any] = {}
+        for node_name, node_spec in self.graph.nodes.items():
+            bound = getattr(node_spec, "bound", None)
+            if bound is None:
+                continue
+
+            tool = getattr(bound, "tool", None)
+            if tool is not None:
+                metadata = getattr(tool, "metadata", None) or {}
+                if metadata.get(CLIENT_SIDE_TOOL_MARKER):
+                    name = getattr(tool, "name", node_name)
+                    tools[name] = metadata.get("output_schema")
+                continue
+
+            tools_by_name = getattr(bound, "tools_by_name", None)
+            if isinstance(tools_by_name, dict):
+                for name, tool in tools_by_name.items():
+                    metadata = getattr(tool, "metadata", None) or {}
+                    if metadata.get(CLIENT_SIDE_TOOL_MARKER):
+                        tools[str(getattr(tool, "name", name))] = metadata.get(
+                            "output_schema"
+                        )
+
+        return tools
+
     def _is_middleware_node(self, node_name: str) -> bool:
         """Check if a node name represents a middleware node."""
         return node_name in self._middleware_node_names