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@ammar-agent ammar-agent commented Oct 19, 2025

Summary

Adds integration test to verify that stream error recovery preserves context (no amnesia bug).

Changes

  • Debug IPC for testing: Added DEBUG_TRIGGER_STREAM_ERROR IPC channel
  • StreamManager debug method: debugTriggerStreamError() triggers artificial stream errors that follow the same code path as real errors
  • Integration test: Single error + resume scenario verifies context preservation via structured markers

Test Design

Structured-marker approach for precise validation:

Test Flow:

  1. Generate unique nonce for test run (random 10-char identifier)
  2. Model counts 1-100 using structured format: ${nonce}-<n>: <word> (e.g. ai7qcnc20g-1: one)
  3. Collect stream deltas until ≥10 complete markers detected
  4. Trigger artificial network error mid-stream
  5. Resume stream and wait for completion
  6. Verify final message has both properties:
    • (a) Prefix preservation: Starts with exact pre-error streamed text
    • (b) Exact continuation: Contains next sequential marker (${nonce}-11) shortly after prefix

Validation:

  • Pre-error content captured from stream-delta events (user-visible data path)
  • Stable prefix truncated to last complete marker line (no partial markers)
  • Assertions directly prove both amnesia-prevention properties
  • No coupling to internal storage formats or metadata

Why this approach:

  • Precise: Detects exact continuation (not just "some work done")
  • Unambiguous: Random nonce makes false positives virtually impossible
  • Robust: Structured format less likely to confuse model than natural language
  • Fast: Haiku 4.5 completes in ~18-21 seconds

Bug Fix

Also fixed event collection bug in collectStreamUntil: properly track consumed deltas to avoid returning the same event multiple times. Previous logic returned first matching event on every poll, causing duplicate processing.

Related

Follow-up to #331 which fixed the amnesia bug by preserving accumulated parts on error.

Test Results

✅ Test passes reliably in ~18-21 seconds
✅ Validates exact prefix preservation and continuation
✅ No flaky failures from timing issues
✅ Integration tests pass: 1 passed, 1 total

Generated with cmux

- Add DEBUG_TRIGGER_STREAM_ERROR IPC channel for testing
- Add debugTriggerStreamError method to StreamManager that:
  - Aborts active stream
  - Writes partial with accumulated parts and error metadata
  - Emits error event (same as real errors)
- Add integration tests that verify context preservation:
  - Test 1: Single stream error + resume
  - Test 2: Three consecutive stream errors + resume
- Tests use Haiku 4.5 for speed
- Tests verify accumulated parts are preserved in partial.json
- Tests verify resumed streams complete successfully with context

Generated with `cmux`
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- Fix: After triggering debug error, update streamInfo.initialMetadata with error/errorType
- This ensures subsequent flushPartialWrite() calls preserve the error metadata
- Prevents cleanup code from overwriting error-marked partial with clean partial
- Remove direct filesystem access (partial.json reads)
- Remove metadata structure verification
- Use existing readChatHistory helper instead of custom implementation
- Create user-focused helpers: waitForStreamWithContent, triggerStreamError, resumeAndWaitForSuccess
- Verify behavioral outcomes (content delivered, topic-relevant) not internal state
- Tests now read like user journeys instead of implementation checks
- Add comprehensive documentation explaining test approach

Makes tests resilient to refactoring - they verify the behavioral contract
(no amnesia after stream errors) rather than implementation details.

-18 lines, improved readability
Changed from essay/explanation tasks to counting 1-100 for more robust verification:
- Extract and validate number sequences from responses
- Verify sequence continuity proves context preservation
- Check progress past error points to confirm no amnesia
- Disable all tools via toolPolicy to ensure pure text responses

Deterministic validation is less flaky than keyword matching and
provides stronger proof that context was actually preserved through errors.
Changes:
- Fixed counting task with descriptions for slower streaming
- Adjusted validation to handle realistic model behavior (may restart count)
- Removed flaky multi-error test (model completes too fast for multiple interruptions)
- Single error test proves amnesia fix works correctly
- Test now passes reliably in ~23s

Validation now checks for substantial work (range, unique numbers) rather than
perfect ascending sequence, which is more realistic for error recovery scenarios.
Replace the previous "substantial work" test with a more precise test that
validates both prefix preservation and exact continuation after stream errors.

Key improvements:
- Use structured markers (nonce + line numbers) to detect exact continuation
- Capture pre-error streamed text from stream-delta events (user-visible path)
- Interrupt mid-stream after detecting stable prefix (≥10 complete markers)
- Assert: (a) final text starts with exact pre-error prefix, (b) contains next
  sequential marker shortly after prefix
- Fix event collection bug: properly track consumed deltas to avoid duplicates

The test now directly proves both properties of "no amnesia" recovery:
1. Pre-error streamed content is preserved in history (prefix preservation)
2. Resumed stream continues from exact point (exact continuation)

No internal storage coupling - uses only stream events and final history.
@ammario ammario added this pull request to the merge queue Oct 19, 2025
Merged via the queue into main with commit 2fbcd36 Oct 19, 2025
8 checks passed
@ammario ammario deleted the test-stream-error-amnesia branch October 19, 2025 23:26
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2 participants