fix(cli): Fix TypeError in v2.x chat due to incorrect State/dict conv…

nemoguardrails/cli/chat.py

@@ -15,7 +15,7 @@
 import asyncio
 import json
 import os
-from dataclasses import asdict, dataclass, field
+from dataclasses import dataclass, field
 from typing import Dict, List, Optional, Tuple, Union, cast
 
 import aiohttp
@@ -498,13 +498,12 @@ async def _check_local_async_actions():
 
             output_events, output_state = await rails_app.process_events_async(
                 input_events_copy,
-                asdict(chat_state.state) if chat_state.state else None,
+                chat_state.state,
             )
             chat_state.output_events = output_events
 
-            # process_events_async returns a Dict `state`, need to convert to dataclass for ChatState object
             if output_state:
-                chat_state.output_state = cast(State, State(**output_state))
+                chat_state.output_state = cast(State, output_state)
 
             # Process output_events and potentially generate new input_events
             _process_output()
@@ -535,12 +534,11 @@ async def _process_input_events():
             chat_state.input_events = []
             output_events, output_state = await rails_app.process_events_async(
                 input_events_copy,
-                asdict(chat_state.state) if chat_state.state else None,
+                chat_state.state,
             )
             chat_state.output_events = output_events
             if output_state:
-                # process_events_async returns a Dict `state`, need to convert to dataclass for ChatState object
-                output_state_typed: State = cast(State, State(**output_state))
+                output_state_typed: State = cast(State, output_state)
                 chat_state.output_state = output_state_typed
                 debugger.set_output_state(output_state_typed)
 

nemoguardrails/rails/llm/llmrails.py

@@ -1463,9 +1463,9 @@ def generate_events(
     async def process_events_async(
         self,
         events: List[dict],
-        state: Optional[dict] = None,
+        state: Union[Optional[dict], State] = None,
         blocking: bool = False,
-    ) -> Tuple[List[dict], dict]:
+    ) -> Tuple[List[dict], Union[dict, State]]:
         """Process a sequence of events in a given state.
 
         The events will be processed one by one, in the input order.
@@ -1502,9 +1502,9 @@ async def process_events_async(
     def process_events(
         self,
         events: List[dict],
-        state: Optional[dict] = None,
+        state: Union[Optional[dict], State] = None,
         blocking: bool = False,
-    ) -> Tuple[List[dict], dict]:
+    ) -> Tuple[List[dict], Union[dict, State]]:
         """Synchronous version of `LLMRails.process_events_async`."""
 
         if check_sync_call_from_async_loop():

tests/cli/test_chat_v2x_integration.py

@@ -0,0 +1,253 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+import pytest
+
+LIVE_TEST_MODE = os.environ.get("LIVE_TEST") or os.environ.get("LIVE_TEST_MODE")
+
+
+@pytest.mark.skipif(not LIVE_TEST_MODE, reason="Not in live mode.")
+class TestProcessEventsAsyncV2x:
+    """Integration tests for LLMRails.process_events_async with v2.x runtime.
+
+    These tests would have caught issue #1505 where PR #1380 incorrectly
+    assumed process_events_async returns dict and tried to convert with
+    State(**output_state), causing TypeError.
+
+    The bug was introduced because:
+    1. The type annotation in llmrails.py was wrong (said it returns dict)
+    2. PR #1380 "fixed" chat.py based on the wrong annotation
+    3. No tests called LLMRails.process_events_async() with v2.x
+       (all tests called runtime.process_events() directly)
+    """
+
+    @pytest.mark.asyncio
+    async def test_process_events_async_returns_state_object(self):
+        """Test that LLMRails.process_events_async returns State object for v2.x, not dict.
+
+        This is the critical test that would have caught the bug immediately.
+        """
+        from nemoguardrails import LLMRails, RailsConfig
+        from nemoguardrails.colang.v2_x.runtime.flows import State
+
+        config = RailsConfig.from_content(
+            """
+            import core
+
+            flow main
+              user said "hi"
+              bot say "Hello!"
+            """,
+            """
+            colang_version: "2.x"
+            models:
+              - type: main
+                engine: openai
+                model: gpt-4o-mini
+            """,
+        )
+
+        rails = LLMRails(config)
+
+        events = [{"type": "UtteranceUserActionFinished", "final_transcript": "hi"}]
+
+        output_events, output_state = await rails.process_events_async(
+            events, state=None
+        )
+
+        assert isinstance(
+            output_state, State
+        ), f"Expected State object, got {type(output_state)}"
+        assert isinstance(output_events, list)
+        assert len(output_events) > 0
+
+    @pytest.mark.asyncio
+    async def test_process_events_async_accepts_state_object(self):
+        """Test that LLMRails.process_events_async accepts State object as input.
+
+        The bug in PR #1380 also incorrectly converted State to dict using asdict()
+        before passing to process_events_async. This test verifies that passing
+        State objects directly works correctly.
+        """
+        from nemoguardrails import LLMRails, RailsConfig
+        from nemoguardrails.colang.v2_x.runtime.flows import State
+        from nemoguardrails.utils import new_event_dict
+
+        config = RailsConfig.from_content(
+            """
+            import core
+
+            flow main
+              user said "hi"
+              bot say "Hello!"
+              user said "bye"
+              bot say "Goodbye!"
+            """,
+            """
+            colang_version: "2.x"
+            models:
+              - type: main
+                engine: openai
+                model: gpt-3.5-turbo
+            """,
+        )
+
+        rails = LLMRails(config)
+
+        events = [{"type": "UtteranceUserActionFinished", "final_transcript": "hi"}]
+
+        output_events_1, output_state_1 = await rails.process_events_async(
+            events, state=None
+        )
+
+        assert isinstance(output_state_1, State)
+
+        events_2 = []
+        for event in output_events_1:
+            if event["type"] == "StartUtteranceBotAction":
+                events_2.append(
+                    new_event_dict(
+                        "UtteranceBotActionFinished",
+                        action_uid=event["action_uid"],
+                        is_success=True,
+                        final_script=event["script"],
+                    )
+                )
+
+        events_2.append(
+            {"type": "UtteranceUserActionFinished", "final_transcript": "bye"}
+        )
+
+        output_events_2, output_state_2 = await rails.process_events_async(
+            events_2, state=output_state_1
+        )
+
+        assert isinstance(
+            output_state_2, State
+        ), "Second call should also return State object when passing State as input"
+
+
+@pytest.mark.skipif(not LIVE_TEST_MODE, reason="Not in live mode.")
+class TestChatV2xE2E:
+    """End-to-end tests for chat CLI with v2.x runtime.
+
+    These tests exercise the actual chat.py code paths that were broken by PR #1380.
+    """
+
+    @pytest.mark.asyncio
+    async def test_chat_v2x_with_real_llm(self):
+        """E2E test of v2.x chat with real LLM.
+
+        This requires LIVE_TEST_MODE=1 and OpenAI API key.
+        """
+        from unittest.mock import patch
+
+        from nemoguardrails import LLMRails, RailsConfig
+        from nemoguardrails.cli.chat import _run_chat_v2_x
+        from nemoguardrails.colang.v2_x.runtime.flows import State
+
+        config = RailsConfig.from_content(
+            """
+            import core
+
+            flow main
+              user said "hi"
+              bot say "Hello from v2.x!"
+            """,
+            """
+            colang_version: "2.x"
+            models:
+              - type: main
+                engine: openai
+                model: gpt-3.5-turbo
+            """,
+        )
+
+        rails = LLMRails(config)
+
+        simulated_input = ["hi", "exit"]
+        input_iter = iter(simulated_input)
+
+        def mock_input(*args, **kwargs):
+            try:
+                return next(input_iter)
+            except StopIteration:
+                raise KeyboardInterrupt()
+
+        with patch("builtins.input", side_effect=mock_input):
+            try:
+                await _run_chat_v2_x(rails)
+            except (KeyboardInterrupt, StopIteration):
+                pass
+
+    @pytest.mark.asyncio
+    async def test_chat_v2x_process_events_flow(self):
+        """Test the exact code path that was broken in chat.py.
+
+        This simulates what _run_chat_v2_x does internally.
+        """
+        from dataclasses import dataclass, field
+        from typing import List, Optional
+
+        from nemoguardrails import LLMRails, RailsConfig
+        from nemoguardrails.colang.v2_x.runtime.flows import State
+
+        @dataclass
+        class ChatState:
+            state: Optional[State] = None
+            input_events: List[dict] = field(default_factory=list)
+            output_events: List[dict] = field(default_factory=list)
+            output_state: Optional[State] = None
+
+        config = RailsConfig.from_content(
+            """
+            import core
+
+            flow main
+              user said "hi"
+              bot say "Hello!"
+            """,
+            """
+            colang_version: "2.x"
+            models:
+              - type: main
+                engine: openai
+                model: gpt-3.5-turbo
+            """,
+        )
+
+        rails = LLMRails(config)
+        chat_state = ChatState()
+
+        chat_state.input_events = [
+            {"type": "UtteranceUserActionFinished", "final_transcript": "hi"}
+        ]
+
+        input_events_copy = chat_state.input_events.copy()
+        chat_state.input_events = []
+
+        output_events, output_state = await rails.process_events_async(
+            input_events_copy,
+            chat_state.state,
+        )
+        chat_state.output_events = output_events
+
+        if output_state:
+            chat_state.output_state = output_state
+
+        assert isinstance(chat_state.output_state, State)
+        assert len(chat_state.output_events) > 0