fix: resolve CI failures — unused imports, type errors, test updates

- Remove 12 unused imports across node.py, tool_manager.py,
  event_adapter.py, legacy_response_adapter.py
- Fix Sequence[str] → list[str] type annotation in node.py
- Update test_agent_chat_app_runner.py: CotChatAgentRunner →
  AgentAppRunner (old runner classes replaced by unified runner)

Made-with: Cursor

api/core/app/apps/common/legacy_response_adapter.py

@@ -12,7 +12,6 @@ from __future__ import annotations
 import json
 import logging
 from collections.abc import Generator
-from typing import Any
 
 logger = logging.getLogger(__name__)
 

api/core/workflow/nodes/agent_v2/event_adapter.py

@@ -7,7 +7,6 @@ graphon NodeEventBase events consumable by the workflow engine.
 from __future__ import annotations
 
 from collections.abc import Generator
-from typing import Any
 
 from graphon.model_runtime.entities import LLMResultChunk
 from graphon.node_events import (

api/core/workflow/nodes/agent_v2/node.py

@@ -10,12 +10,11 @@ from __future__ import annotations
 import logging
 import re
 from collections.abc import Generator, Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Literal, cast
+from typing import TYPE_CHECKING, Any, Literal
 
 from graphon.enums import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
 from graphon.model_runtime.entities import (
     AssistantPromptMessage,
-    LLMResult,
     LLMResultChunk,
     PromptMessage,
     SystemPromptMessage,
@@ -23,15 +22,10 @@ from graphon.model_runtime.entities import (
     UserPromptMessage,
 )
 from graphon.model_runtime.entities.llm_entities import LLMUsage
-from graphon.model_runtime.entities.message_entities import (
-    ImagePromptMessageContent,
-    PromptMessageContentUnionTypes,
-)
 from graphon.model_runtime.entities.model_entities import ModelFeature, ModelType
 from graphon.node_events import (
     NodeEventBase,
     NodeRunResult,
-    StreamChunkEvent,
     StreamCompletedEvent,
 )
 from graphon.nodes.base.node import Node
@@ -545,11 +539,11 @@ class AgentV2Node(Node[AgentV2NodeData]):
                 content = jinja2_text or text
                 selectors = VariableTemplateParser(content).extract_variable_selectors()
                 for selector in selectors:
-                    result[selector.variable] = selector.value_selector
+                    result[selector.variable] = list(selector.value_selector)
         else:
             text_content = getattr(node_data.prompt_template, "text", "") or ""
             selectors = VariableTemplateParser(text_content).extract_variable_selectors()
             for selector in selectors:
-                result[selector.variable] = selector.value_selector
+                result[selector.variable] = list(selector.value_selector)
 
         return {f"{node_id}.{key}": value for key, value in result.items()}

api/core/workflow/nodes/agent_v2/tool_manager.py

@@ -8,12 +8,8 @@ from __future__ import annotations
 
 import json
 import logging
-from collections.abc import Generator
 from typing import TYPE_CHECKING, Any
 
-from graphon.file import File
-from graphon.model_runtime.entities import PromptMessageTool
-
 from core.agent.entities import AgentToolEntity, ExecutionContext
 from core.agent.patterns.base import ToolInvokeHook
 from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler

api/tests/unit_tests/core/app/apps/agent_chat/test_agent_chat_app_runner.py

@@ -136,8 +136,8 @@ class TestAgentChatAppRunnerRun:
     @pytest.mark.parametrize(
         ("mode", "expected_runner"),
         [
-            (LLMMode.CHAT, "CotChatAgentRunner"),
-            (LLMMode.COMPLETION, "CotCompletionAgentRunner"),
+            (LLMMode.CHAT, "AgentAppRunner"),
+            (LLMMode.COMPLETION, "AgentAppRunner"),
         ],
     )
     def test_run_chain_of_thought_modes(self, runner, mocker, mode, expected_runner):
@@ -286,7 +286,7 @@ class TestAgentChatAppRunnerRun:
         )
 
         runner_cls = mocker.MagicMock()
-        mocker.patch("core.app.apps.agent_chat.app_runner.FunctionCallAgentRunner", runner_cls)
+        mocker.patch("core.app.apps.agent_chat.app_runner.AgentAppRunner", runner_cls)
 
         runner_instance = mocker.MagicMock()
         runner_cls.return_value = runner_instance