autogen - ✅(Solved) Fix Add deterministic termination contract tests for multi-agent loops [1 pull requests, 1 comments, 2 participants]

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microsoft/autogen#7275Fetched 2026-04-08 00:39:56
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Fix Action

Fixed

PR fix notes

PR #7276: Add deterministic multi-agent loop termination regression test

Description (problem / solution / changelog)

Problem

Looping multi-agent graph flows need deterministic termination contracts (same stop reason and step count under equivalent inputs), but this specific contract was not directly asserted across repeated executions.

Why now

Issue #7275 tracks deterministic termination behavior as a safety-critical lifecycle invariant.

What changed

  • Added test_digraph_group_chat_loop_termination_is_deterministic in python/packages/autogen-agentchat/tests/test_group_chat_graph.py.
  • The test runs equivalent loop/exit graph scenarios twice and asserts matching stop reason, message count, and terminal content.

Validation

  • cd python && uv run pytest packages/autogen-agentchat/tests/test_group_chat_graph.py -k 'loop_termination_is_deterministic'

Refs #7275

Changed files

  • python/packages/autogen-agentchat/tests/test_group_chat_graph.py (modified, +51/-0)
RAW_BUFFERClick to expand / collapse

Problem Termination behavior in multi-agent loops can vary with timing/tool-response ordering, reducing reproducibility and making safety guarantees harder to validate.

Why now Termination correctness is a core control for autonomous loops and should be enforced with deterministic contract tests.

Expected behavior Equivalent loop fixtures terminate with the same reason and bounded step counts across repeated runs.

Acceptance criteria

  • Add deterministic contract tests around loop termination reason/step-count invariants.
  • Tests avoid flaky timing assumptions and assert documented lifecycle semantics.
  • Coverage includes tool-invocation and response-order edge cases.

Evidence packet

  • Commit under test: 13e144e5476a76ca0d76bf4f07a6401d133a03ed
  • Runtime environment: macOS Darwin 25.3.0 arm64, Python 3.14.0
  • Minimal repro:
    1. Run equivalent multi-agent loop fixtures repeatedly.
    2. Compare termination reason and step counts.
  • Expected: deterministic invariant holds.
  • Actual: explicit contract coverage is currently insufficient.

extent analysis

Fix Plan

The fix involves adding deterministic contract tests for loop termination reason and step-count invariants.

Steps to Implement the Fix

  • Create test cases that cover various scenarios, including tool-invocation and response-order edge cases.
  • Use a testing framework (e.g., Pytest) to write and run the tests.
  • Utilize mocking libraries (e.g., Mockk) to control the timing and ordering of tool responses.

Example Code

import pytest
from unittest.mock import MagicMock

def test_loop_termination_reason():
    # Mock tool responses to control timing and ordering
    tool_response = MagicMock()
    tool_response.return_value = "success"

    # Run the loop fixture with the mocked tool response
    loop_fixture = LoopFixture(tool_response)
    termination_reason = loop_fixture.run()

    # Assert the expected termination reason
    assert termination_reason == "success"

def test_loop_step_count():
    # Mock tool responses to control timing and ordering
    tool_response = MagicMock()
    tool_response.return_value = "success"

    # Run the loop fixture with the mocked tool response
    loop_fixture = LoopFixture(tool_response)
    step_count = loop_fixture.run()

    # Assert the expected step count
    assert step_count == 10

def test_loop_termination_reason_edge_case():
    # Mock tool responses to control timing and ordering
    tool_response = MagicMock()
    tool_response.return_value = "failure"

    # Run the loop fixture with the mocked tool response
    loop_fixture = LoopFixture(tool_response)
    termination_reason = loop_fixture.run()

    # Assert the expected termination reason
    assert termination_reason == "failure"

Verification

To verify that the fix worked, run the test cases repeatedly and check that the termination reason and step counts are consistent across runs.

Extra Tips

  • Use a consistent testing framework and mocking library throughout the codebase.
  • Keep the test cases independent and focused on specific scenarios.
  • Use clear and descriptive names for test cases and variables.

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