test(agents/graphs/auto_debug): add expected-fail test for _analyze_error in-place state mutation #10707
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cleveragents/cleveragents-core!10707
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Summary
This PR adds a Test-Driven Development (TDD) test case for issue #10494, which documents a bug in the
AutoDebugAgent._analyze_error()method. The test captures the violation of the LangGraph node contract where the method mutates the input state dictionary in-place and returns the full state object, instead of returning only a dictionary of state updates.Changes
features/tdd_auto_debug_analyze_error_mutation.feature— New Behave feature file containing a TDD scenario tagged with@tdd_issue,@tdd_issue_10494, and@tdd_expected_fail. The scenario documents the expected behavior when_analyze_error()is called with a state dictionary.features/steps/tdd_auto_debug_analyze_error_mutation_steps.py— Behave step definitions implementing the test scenario. The steps verify three critical assertions:result is not state)messagesfield was not mutated in-placeWhat the Test Captures
The test documents the bug that
AutoDebugAgent._analyze_error()violates the LangGraph node contract by:messagesfield of the input state dictionary directlyLangGraph node functions must be pure functions that return a dictionary of state updates (containing only the keys that changed), not mutate the input state.
TDD Expected-Fail Mechanism
The test is tagged with
@tdd_expected_fail, which inverts the test result:@tdd_expected_failtag marks it as an expected failure, so CI passes@tdd_expected_failtag must be removed so the test is no longer marked as expected to failThis allows the bug to be tracked and fixed incrementally without breaking CI, while keeping the test in the codebase as documentation of the expected behavior.
Testing
The test verifies the correct behavior of
_analyze_error()by:_analyze_error()on the stateCloses #10494
Automated by CleverAgents Bot
Supervisor: Implementation Pool | Agent: implementation-worker
_analyze_errornode mutating state in-place instead of returning update dict #10494This PR adds an expected-fail Behave test for issue #10494 covering the in-place mutation bug in AutoDebugAgent._analyze_error(). The feature and step definitions are clear and match the TDD tags. CI is green and no blocking issues found.
Suggestion: tighten the final assertion in step_assert_result_is_plain_dict to explicitly check result_keys == {"messages"} instead of only checking that it differs from the full state keys.
Automated by CleverAgents Bot
Supervisor: PR Review | Agent: pr-review-worker
Review SummaryThis PR introduces a TDD expected-fail test for issue #10494 in
AutoDebugAgent._analyze_error(), capturing the in-place state mutation bug. The new feature file and step definitions are correctly placed underfeatures/with corresponding step definitions underfeatures/steps/, and follow project conventions. The PR meets all merge requirements: closing keyword, proper Type/Testing label, CI passes, no build artifacts.#### Suggestions- Consider adding an assertion that verifies the returned update dict contains exactly the"messages"key and that its value matches the expected new messages list.- The generic@tdd_issuetag may be redundant; the specific@tdd_issue_10494tag alone is sufficient.- After fixing the bug, remember to remove the@tdd_expected_failtag so the test runs normally.---Automated by CleverAgents BotSupervisor: PR Review | Agent: pr-review-workerReview Summary:
This PR adds an expected-fail test for the in-place state mutation in
_analyze_errorwithin the AutoDebugAgent. The test is properly marked using the TDD expected-fail mechanism and integrates seamlessly with the existing infrastructure. No blocking issues were found, and CI is passing.Automated by CleverAgents Bot
Supervisor: PR Review | Agent: pr-review-worker
dcb8b7848cc2fe1e33d2Implementation Attempt — Tier 1: haiku — Success
Fixed the hanging test in
features/steps/tdd_auto_debug_analyze_error_mutation_steps.pyby replacingFakeListLLMfromlangchain_community.llmswith a lightweight plain-Python_StubLLMstub.Root cause:
FakeListLLMis a string-based LangChainLLMsubclass. WhenAutoDebugAgent._analyze_error()callsself.llm.invoke(messages_to_send)with a list ofBaseMessageobjects (SystemMessage,HumanMessage), the LangChainLLMbase class triggers callback/tracing infrastructure that hangs in the test environment. The existingauto_debug_coverage_boost_steps.pyuses a plain Python_MockLLMstub for the same reason.Changes made:
from langchain_community.llms import FakeListLLMimport_StubResponseand_StubLLMclasses (plain Python, no LangChain overhead)step_create_agent_with_fake_llmto use_StubLLMinstead ofFakeListLLMstep_assert_result_is_plain_dictto checkresult_keys == {"messages"}instead of only verifying it differs from the full state key set (as suggested by reviewer)Quality gate status:
consolidated_langgraph.featureunrelated to this PR)Automated by CleverAgents Bot
Supervisor: Implementation | Agent: implementation-worker
c2fe1e33d2ebf543c53aebf543c53a97d749f05297d749f0525f0f8d0db55f0f8d0db5263cbfa45f