|
| 1 | +"""Test for security risk schema consistency across agent configuration changes. |
| 2 | +
|
| 3 | +This test reproduces a critical issue where changing security analyzer configuration |
| 4 | +mid-conversation can lead to schema inconsistencies and validation failures. |
| 5 | +
|
| 6 | +The core problem on main branch: |
| 7 | +1. Agent with security analyzer includes security_risk fields in tool schemas |
| 8 | +2. Agent without security analyzer excludes security_risk fields from tool schemas |
| 9 | +3. This creates validation issues when ActionEvents created with one schema |
| 10 | + are processed by an agent with a different schema |
| 11 | +
|
| 12 | +The refactor branch fixes this by always including security_risk fields |
| 13 | +in tool schemas regardless of security analyzer presence, ensuring consistency. |
| 14 | +""" |
| 15 | + |
| 16 | +import json |
| 17 | +from collections.abc import Sequence |
| 18 | +from typing import TYPE_CHECKING, Self |
| 19 | +from unittest.mock import patch |
| 20 | + |
| 21 | +from litellm import ChatCompletionMessageToolCall |
| 22 | +from litellm.types.utils import ( |
| 23 | + Choices, |
| 24 | + Function, |
| 25 | + Message as LiteLLMMessage, |
| 26 | + ModelResponse, |
| 27 | +) |
| 28 | +from pydantic import Field, SecretStr |
| 29 | + |
| 30 | +from openhands.sdk.agent import Agent |
| 31 | +from openhands.sdk.conversation import Conversation |
| 32 | +from openhands.sdk.event import ActionEvent, AgentErrorEvent |
| 33 | +from openhands.sdk.llm import LLM, Message, TextContent |
| 34 | +from openhands.sdk.security.llm_analyzer import LLMSecurityAnalyzer |
| 35 | +from openhands.sdk.tool import ( |
| 36 | + Action, |
| 37 | + Observation, |
| 38 | + Tool, |
| 39 | + ToolAnnotations, |
| 40 | + ToolDefinition, |
| 41 | + ToolExecutor, |
| 42 | + register_tool, |
| 43 | +) |
| 44 | + |
| 45 | + |
| 46 | +if TYPE_CHECKING: |
| 47 | + from openhands.sdk.conversation.base import BaseConversation |
| 48 | + from openhands.sdk.conversation.state import ConversationState |
| 49 | + |
| 50 | + |
| 51 | +class MockRiskyAction(Action): |
| 52 | + """Mock action that would have security risk (not read-only).""" |
| 53 | + |
| 54 | + command: str = Field(description="Command to execute") |
| 55 | + force: bool = Field(default=False, description="Force execution") |
| 56 | + |
| 57 | + |
| 58 | +class MockRiskyObservation(Observation): |
| 59 | + """Mock observation for risky action.""" |
| 60 | + |
| 61 | + result: str = Field(default="executed", description="Result of execution") |
| 62 | + |
| 63 | + |
| 64 | +class MockRiskyExecutor(ToolExecutor): |
| 65 | + def __call__( |
| 66 | + self, |
| 67 | + action: MockRiskyAction, |
| 68 | + conversation: "BaseConversation | None" = None, |
| 69 | + ) -> MockRiskyObservation: |
| 70 | + return MockRiskyObservation(result=f"Executed: {action.command}") |
| 71 | + |
| 72 | + |
| 73 | +class MockRiskyTool(ToolDefinition[MockRiskyAction, MockRiskyObservation]): |
| 74 | + """Mock tool that would have security risk fields (not read-only).""" |
| 75 | + |
| 76 | + @classmethod |
| 77 | + def create( |
| 78 | + cls, |
| 79 | + conv_state: "ConversationState | None" = None, |
| 80 | + **params, |
| 81 | + ) -> Sequence[Self]: |
| 82 | + """Create MockRiskyTool instance.""" |
| 83 | + return [ |
| 84 | + cls( |
| 85 | + description="Mock risky tool for testing security risk fields", |
| 86 | + action_type=MockRiskyAction, |
| 87 | + observation_type=MockRiskyObservation, |
| 88 | + executor=MockRiskyExecutor(), |
| 89 | + annotations=ToolAnnotations( |
| 90 | + readOnlyHint=False, # This tool is NOT read-only |
| 91 | + destructiveHint=True, # This tool could be destructive |
| 92 | + idempotentHint=False, |
| 93 | + openWorldHint=False, |
| 94 | + ), |
| 95 | + ) |
| 96 | + ] |
| 97 | + |
| 98 | + |
| 99 | +def get_risky_tool_spec() -> Tool: |
| 100 | + """Get a risky tool spec for testing.""" |
| 101 | + return Tool(name="MockRiskyTool", params={}) |
| 102 | + |
| 103 | + |
| 104 | +# Register the mock tool for testing |
| 105 | +register_tool("MockRiskyTool", MockRiskyTool) |
| 106 | + |
| 107 | + |
| 108 | +def _tool_response_with_security_risk(name: str, args_json: str) -> ModelResponse: |
| 109 | + """Create a mock LLM response with tool call including security_risk.""" |
| 110 | + return ModelResponse( |
| 111 | + id="mock-response", |
| 112 | + choices=[ |
| 113 | + Choices( |
| 114 | + index=0, |
| 115 | + message=LiteLLMMessage( |
| 116 | + role="assistant", |
| 117 | + content="tool call with security_risk", |
| 118 | + tool_calls=[ |
| 119 | + ChatCompletionMessageToolCall( |
| 120 | + id="call_1", |
| 121 | + type="function", |
| 122 | + function=Function(name=name, arguments=args_json), |
| 123 | + ) |
| 124 | + ], |
| 125 | + ), |
| 126 | + finish_reason="tool_calls", |
| 127 | + ) |
| 128 | + ], |
| 129 | + created=0, |
| 130 | + model="test-model", |
| 131 | + object="chat.completion", |
| 132 | + ) |
| 133 | + |
| 134 | + |
| 135 | +def test_security_risk_schema_consistency_problem(): |
| 136 | + """Test that demonstrates the schema consistency problem on main branch. |
| 137 | +
|
| 138 | + This test should fail on main branch due to schema inconsistency when |
| 139 | + security analyzer configuration changes mid-conversation. |
| 140 | + """ |
| 141 | + llm = LLM( |
| 142 | + usage_id="test-llm", |
| 143 | + model="test-model", |
| 144 | + api_key=SecretStr("test-key"), |
| 145 | + base_url="http://test", |
| 146 | + ) |
| 147 | + |
| 148 | + # Step 1: Create agent WITH security analyzer |
| 149 | + agent_with_analyzer = Agent( |
| 150 | + llm=llm, tools=[], security_analyzer=LLMSecurityAnalyzer() |
| 151 | + ) |
| 152 | + |
| 153 | + events = [] |
| 154 | + conversation = Conversation(agent=agent_with_analyzer, callbacks=[events.append]) |
| 155 | + |
| 156 | + # Step 2: Generate an ActionEvent with security_risk field (analyzer present) |
| 157 | + with patch( |
| 158 | + "openhands.sdk.llm.llm.litellm_completion", |
| 159 | + return_value=_tool_response_with_security_risk( |
| 160 | + "think", |
| 161 | + '{"thought": "test thought", "security_risk": "LOW"}', |
| 162 | + ), |
| 163 | + ): |
| 164 | + conversation.send_message( |
| 165 | + Message(role="user", content=[TextContent(text="Please use mock tool")]) |
| 166 | + ) |
| 167 | + agent_with_analyzer.step(conversation, on_event=events.append) |
| 168 | + |
| 169 | + # Verify we have an ActionEvent with security_risk |
| 170 | + action_events = [e for e in events if isinstance(e, ActionEvent)] |
| 171 | + assert len(action_events) > 0 |
| 172 | + original_action_event = action_events[0] |
| 173 | + assert original_action_event.security_risk is not None |
| 174 | + |
| 175 | + # Step 3: Create new agent WITHOUT security analyzer |
| 176 | + agent_without_analyzer = Agent(llm=llm, tools=[]) |
| 177 | + |
| 178 | + # Step 4: Create new conversation with the agent without analyzer |
| 179 | + # This simulates reloading a conversation with different agent configuration |
| 180 | + new_conversation = Conversation(agent=agent_without_analyzer, callbacks=[]) |
| 181 | + |
| 182 | + # Step 5: Try to replay the ActionEvent in the new conversation context |
| 183 | + # This should cause a schema validation problem because: |
| 184 | + # - The original ActionEvent has security_risk field |
| 185 | + # - The new agent's tools don't expect security_risk field (no analyzer) |
| 186 | + # - This leads to validation errors and potential infinite loops |
| 187 | + |
| 188 | + # Simulate the scenario by manually creating the problematic state |
| 189 | + new_conversation.state.events.append(original_action_event) |
| 190 | + |
| 191 | + # Step 6: Try to continue the conversation - this should fail |
| 192 | + with patch( |
| 193 | + "openhands.sdk.llm.llm.litellm_completion", |
| 194 | + return_value=_tool_response_with_security_risk( |
| 195 | + "think", |
| 196 | + '{"thought": "another thought"}', # No security_risk this time |
| 197 | + ), |
| 198 | + ): |
| 199 | + new_events = [] |
| 200 | + new_conversation.send_message( |
| 201 | + Message(role="user", content=[TextContent(text="Continue conversation")]) |
| 202 | + ) |
| 203 | + |
| 204 | + # This step should cause problems due to schema inconsistency |
| 205 | + try: |
| 206 | + agent_without_analyzer.step(new_conversation, on_event=new_events.append) |
| 207 | + |
| 208 | + # If we get here without errors, check for agent error events |
| 209 | + agent_errors = [e for e in new_events if isinstance(e, AgentErrorEvent)] |
| 210 | + |
| 211 | + # On main branch, this might cause validation issues |
| 212 | + # The test documents the expected behavior |
| 213 | + print(f"Agent errors: {len(agent_errors)}") |
| 214 | + for error in agent_errors: |
| 215 | + print(f"Error: {error.error}") |
| 216 | + |
| 217 | + except Exception as e: |
| 218 | + # This exception demonstrates the schema consistency problem |
| 219 | + print(f"Schema consistency error: {e}") |
| 220 | + # On main branch, this could happen due to inconsistent schemas |
| 221 | + |
| 222 | + # The test passes if we can document the issue |
| 223 | + # The real fix is in the refactor branch where security_risk is always included |
| 224 | + |
| 225 | + |
| 226 | +def test_tool_schema_changes_with_security_analyzer(): |
| 227 | + """Test how tool schemas change based on security analyzer presence.""" |
| 228 | + llm = LLM( |
| 229 | + usage_id="test-llm", |
| 230 | + model="test-model", |
| 231 | + api_key=SecretStr("test-key"), |
| 232 | + base_url="http://test", |
| 233 | + ) |
| 234 | + |
| 235 | + # Agent without security analyzer (with risky tool) |
| 236 | + agent_without = Agent(llm=llm, tools=[get_risky_tool_spec()]) |
| 237 | + # Initialize the agent by creating a conversation |
| 238 | + Conversation(agent=agent_without, callbacks=[]) |
| 239 | + # Get the actual tool instance from the agent |
| 240 | + risky_tool_without = agent_without.tools_map["mock_risky"] |
| 241 | + # On refactor branch: always include security_risk fields |
| 242 | + schema_without = risky_tool_without.to_openai_tool( |
| 243 | + add_security_risk_prediction=True |
| 244 | + ) |
| 245 | + |
| 246 | + # Agent with security analyzer (with risky tool) |
| 247 | + agent_with = Agent( |
| 248 | + llm=llm, tools=[get_risky_tool_spec()], security_analyzer=LLMSecurityAnalyzer() |
| 249 | + ) |
| 250 | + # Initialize the agent by creating a conversation |
| 251 | + Conversation(agent=agent_with, callbacks=[]) |
| 252 | + # Get the actual tool instance from the agent |
| 253 | + risky_tool_with = agent_with.tools_map["mock_risky"] |
| 254 | + # On refactor branch: always include security_risk fields |
| 255 | + schema_with = risky_tool_with.to_openai_tool(add_security_risk_prediction=True) |
| 256 | + |
| 257 | + # The schemas should be the same on refactor branch |
| 258 | + without_params = schema_without["function"]["parameters"]["properties"] # type: ignore[typeddict-item] # noqa: E501 |
| 259 | + with_params = schema_with["function"]["parameters"]["properties"] # type: ignore[typeddict-item] # noqa: E501 |
| 260 | + |
| 261 | + print("Schema without analyzer:", json.dumps(without_params, indent=2)) |
| 262 | + print("Schema with analyzer:", json.dumps(with_params, indent=2)) |
| 263 | + |
| 264 | + # On refactor branch: security_risk field is always included |
| 265 | + if "security_risk" in with_params and "security_risk" in without_params: |
| 266 | + print("SUCCESS: Schema consistency achieved - security_risk always present") |
| 267 | + elif "security_risk" in with_params and "security_risk" not in without_params: |
| 268 | + print("UNEXPECTED: Schema inconsistency still exists on refactor branch") |
| 269 | + elif "security_risk" not in with_params and "security_risk" not in without_params: |
| 270 | + print("UNEXPECTED: security_risk field is never present for risky tool") |
| 271 | + else: |
| 272 | + print("UNEXPECTED: security_risk only in schema without analyzer") |
| 273 | + |
| 274 | + # On refactor branch, schemas should be identical - this is the fix! |
| 275 | + assert without_params == with_params, "Schemas should be identical on refactor" |
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