Fix MCPServer error handling with Temporal

pydantic_ai_slim/pydantic_ai/durable_exec/temporal/_function_toolset.py

@@ -1,57 +1,22 @@
 from __future__ import annotations
 
 from collections.abc import Callable
-from dataclasses import dataclass
-from typing import Annotated, Any, Literal
+from typing import Any, Literal
 
-from pydantic import ConfigDict, Discriminator, with_config
 from temporalio import activity, workflow
 from temporalio.workflow import ActivityConfig
-from typing_extensions import assert_never
 
 from pydantic_ai import FunctionToolset, ToolsetTool
-from pydantic_ai.exceptions import ApprovalRequired, CallDeferred, ModelRetry, UserError
+from pydantic_ai.exceptions import UserError
 from pydantic_ai.tools import AgentDepsT, RunContext
 from pydantic_ai.toolsets.function import FunctionToolsetTool
 
 from ._run_context import TemporalRunContext
-from ._toolset import TemporalWrapperToolset
-
-
-@dataclass
-@with_config(ConfigDict(arbitrary_types_allowed=True))
-class _CallToolParams:
-    name: str
-    tool_args: dict[str, Any]
-    serialized_run_context: Any
-
-
-@dataclass
-class _ApprovalRequired:
-    kind: Literal['approval_required'] = 'approval_required'
-
-
-@dataclass
-class _CallDeferred:
-    kind: Literal['call_deferred'] = 'call_deferred'
-
-
-@dataclass
-class _ModelRetry:
-    message: str
-    kind: Literal['model_retry'] = 'model_retry'
-
-
-@dataclass
-class _ToolReturn:
-    result: Any
-    kind: Literal['tool_return'] = 'tool_return'
-
-
-_CallToolResult = Annotated[
-    _ApprovalRequired | _CallDeferred | _ModelRetry | _ToolReturn,
-    Discriminator('kind'),
-]
+from ._toolset import (
+    CallToolParams,
+    CallToolResult,
+    TemporalWrapperToolset,
+)
 
 
 class TemporalFunctionToolset(TemporalWrapperToolset[AgentDepsT]):
@@ -70,7 +35,7 @@ def __init__(
         self.tool_activity_config = tool_activity_config
         self.run_context_type = run_context_type
 
-        async def call_tool_activity(params: _CallToolParams, deps: AgentDepsT) -> _CallToolResult:
+        async def call_tool_activity(params: CallToolParams, deps: AgentDepsT) -> CallToolResult:
             name = params.name
             ctx = self.run_context_type.deserialize_run_context(params.serialized_run_context, deps=deps)
             try:
@@ -84,15 +49,7 @@ async def call_tool_activity(params: _CallToolParams, deps: AgentDepsT) -> _Call
             # The tool args will already have been validated into their proper types in the `ToolManager`,
             # but `execute_activity` would have turned them into simple Python types again, so we need to re-validate them.
             args_dict = tool.args_validator.validate_python(params.tool_args)
-            try:
-                result = await self.wrapped.call_tool(name, args_dict, ctx, tool)
-                return _ToolReturn(result=result)
-            except ApprovalRequired:
-                return _ApprovalRequired()
-            except CallDeferred:
-                return _CallDeferred()
-            except ModelRetry as e:
-                return _ModelRetry(message=e.message)
+            return await self._wrap_call_tool_result(self.wrapped.call_tool(name, args_dict, ctx, tool))
 
         # Set type hint explicitly so that Temporal can take care of serialization and deserialization
         call_tool_activity.__annotations__['deps'] = deps_type
@@ -123,25 +80,18 @@ async def call_tool(
 
         tool_activity_config = self.activity_config | tool_activity_config
         serialized_run_context = self.run_context_type.serialize_run_context(ctx)
-        result = await workflow.execute_activity(  # pyright: ignore[reportUnknownMemberType]
-            activity=self.call_tool_activity,
-            args=[
-                _CallToolParams(
-                    name=name,
-                    tool_args=tool_args,
-                    serialized_run_context=serialized_run_context,
-                ),
-                ctx.deps,
-            ],
-            **tool_activity_config,
+        return self._unwrap_call_tool_result(
+            await workflow.execute_activity(  # pyright: ignore[reportUnknownMemberType]
+                activity=self.call_tool_activity,
+                args=[
+                    CallToolParams(
+                        name=name,
+                        tool_args=tool_args,
+                        serialized_run_context=serialized_run_context,
+                        tool_def=None,
+                    ),
+                    ctx.deps,
+                ],
+                **tool_activity_config,
+            )
         )
-        if isinstance(result, _ApprovalRequired):
-            raise ApprovalRequired()
-        elif isinstance(result, _CallDeferred):
-            raise CallDeferred()
-        elif isinstance(result, _ModelRetry):
-            raise ModelRetry(result.message)
-        elif isinstance(result, _ToolReturn):
-            return result.result
-        else:
-            assert_never(result)

pydantic_ai_slim/pydantic_ai/durable_exec/temporal/_mcp_server.py

@@ -11,11 +11,15 @@
 
 from pydantic_ai import ToolsetTool
 from pydantic_ai.exceptions import UserError
-from pydantic_ai.mcp import MCPServer, ToolResult
+from pydantic_ai.mcp import MCPServer
 from pydantic_ai.tools import AgentDepsT, RunContext, ToolDefinition
 
 from ._run_context import TemporalRunContext
-from ._toolset import TemporalWrapperToolset
+from ._toolset import (
+    CallToolParams,
+    CallToolResult,
+    TemporalWrapperToolset,
+)
 
 
 @dataclass
@@ -24,15 +28,6 @@ class _GetToolsParams:
     serialized_run_context: Any
 
 
-@dataclass
-@with_config(ConfigDict(arbitrary_types_allowed=True))
-class _CallToolParams:
-    name: str
-    tool_args: dict[str, Any]
-    serialized_run_context: Any
-    tool_def: ToolDefinition
-
-
 class TemporalMCPServer(TemporalWrapperToolset[AgentDepsT]):
     def __init__(
         self,
@@ -72,13 +67,16 @@ async def get_tools_activity(params: _GetToolsParams, deps: AgentDepsT) -> dict[
             get_tools_activity
         )
 
-        async def call_tool_activity(params: _CallToolParams, deps: AgentDepsT) -> ToolResult:
+        async def call_tool_activity(params: CallToolParams, deps: AgentDepsT) -> CallToolResult:
             run_context = self.run_context_type.deserialize_run_context(params.serialized_run_context, deps=deps)
-            return await self.wrapped.call_tool(
-                params.name,
-                params.tool_args,
-                run_context,
-                self.tool_for_tool_def(params.tool_def),
+            assert isinstance(params.tool_def, ToolDefinition)
+            return await self._wrap_call_tool_result(
+                self.wrapped.call_tool(
+                    params.name,
+                    params.tool_args,
+                    run_context,
+                    self.tool_for_tool_def(params.tool_def),
+                )
             )
 
         # Set type hint explicitly so that Temporal can take care of serialization and deserialization
@@ -125,22 +123,24 @@ async def call_tool(
         tool_args: dict[str, Any],
         ctx: RunContext[AgentDepsT],
         tool: ToolsetTool[AgentDepsT],
-    ) -> ToolResult:
+    ) -> CallToolResult:
         if not workflow.in_workflow():
             return await super().call_tool(name, tool_args, ctx, tool)
 
         tool_activity_config = self.activity_config | self.tool_activity_config.get(name, {})
         serialized_run_context = self.run_context_type.serialize_run_context(ctx)
-        return await workflow.execute_activity(  # pyright: ignore[reportUnknownMemberType]
-            activity=self.call_tool_activity,
-            args=[
-                _CallToolParams(
-                    name=name,
-                    tool_args=tool_args,
-                    serialized_run_context=serialized_run_context,
-                    tool_def=tool.tool_def,
-                ),
-                ctx.deps,
-            ],
-            **tool_activity_config,
+        return self._unwrap_call_tool_result(
+            await workflow.execute_activity(  # pyright: ignore[reportUnknownMemberType]
+                activity=self.call_tool_activity,
+                args=[
+                    CallToolParams(
+                        name=name,
+                        tool_args=tool_args,
+                        serialized_run_context=serialized_run_context,
+                        tool_def=tool.tool_def,
+                    ),
+                    ctx.deps,
+                ],
+                **tool_activity_config,
+            )
         )

pydantic_ai_slim/pydantic_ai/durable_exec/temporal/_toolset.py

@@ -1,17 +1,58 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Callable
-from typing import Any, Literal
+from collections.abc import Awaitable, Callable
+from dataclasses import dataclass
+from typing import Annotated, Any, Literal
 
+from pydantic import ConfigDict, Discriminator, with_config
 from temporalio.workflow import ActivityConfig
+from typing_extensions import assert_never
 
 from pydantic_ai import AbstractToolset, FunctionToolset, WrapperToolset
-from pydantic_ai.tools import AgentDepsT
+from pydantic_ai.exceptions import ApprovalRequired, CallDeferred, ModelRetry
+from pydantic_ai.tools import AgentDepsT, ToolDefinition
 
 from ._run_context import TemporalRunContext
 
 
+@dataclass
+@with_config(ConfigDict(arbitrary_types_allowed=True))
+class CallToolParams:
+    name: str
+    tool_args: dict[str, Any]
+    serialized_run_context: Any
+    tool_def: ToolDefinition | None
+
+
+@dataclass
+class _ApprovalRequired:
+    kind: Literal['approval_required'] = 'approval_required'
+
+
+@dataclass
+class _CallDeferred:
+    kind: Literal['call_deferred'] = 'call_deferred'
+
+
+@dataclass
+class _ModelRetry:
+    message: str
+    kind: Literal['model_retry'] = 'model_retry'
+
+
+@dataclass
+class _ToolReturn:
+    result: Any
+    kind: Literal['tool_return'] = 'tool_return'
+
+
+CallToolResult = Annotated[
+    _ApprovalRequired | _CallDeferred | _ModelRetry | _ToolReturn,
+    Discriminator('kind'),
+]
+
+
 class TemporalWrapperToolset(WrapperToolset[AgentDepsT], ABC):
     @property
     def id(self) -> str:
@@ -30,6 +71,29 @@ def visit_and_replace(
         # Temporalized toolsets cannot be swapped out after the fact.
         return self
 
+    async def _wrap_call_tool_result(self, coro: Awaitable[Any]) -> CallToolResult:
+        try:
+            result = await coro
+            return _ToolReturn(result=result)
+        except ApprovalRequired:
+            return _ApprovalRequired()
+        except CallDeferred:
+            return _CallDeferred()
+        except ModelRetry as e:
+            return _ModelRetry(message=e.message)
+
+    def _unwrap_call_tool_result(self, result: CallToolResult) -> Any:
+        if isinstance(result, _ToolReturn):
+            return result.result
+        elif isinstance(result, _ApprovalRequired):
+            raise ApprovalRequired()
+        elif isinstance(result, _CallDeferred):
+            raise CallDeferred()
+        elif isinstance(result, _ModelRetry):
+            raise ModelRetry(result.message)
+        else:
+            assert_never(result)
+
 
 def temporalize_toolset(
     toolset: AbstractToolset[AgentDepsT],