Dave Page 990b4f5e54 Fix an issue where the AI Assistant was not retaining conversation context between messages, with chat history compaction to manage token budgets. ...

* Address CodeRabbit review feedback for chat context and compaction.

- Track tool-use turns as groups instead of one-to-one pairs, so
  multi-tool assistant messages don't leave orphaned results.
- Add fallback to shrink the recent window when protected messages
  alone exceed the token budget, preventing compaction no-ops.
- Fix low-value test fixtures to keep transient messages short so
  they actually classify as low-importance.
- Guard Clear button against in-flight stream race conditions by
  adding a clearedRef flag and cancelling active streams.
- Assert that conversation history is actually passed through to
  chat_with_database in the "With History" test.

* Address remaining CodeRabbit review feedback for compaction module.

- Expand protected set to cover full tool groups, preventing orphaned
  tool call/result messages when a turn straddles the recent window.
- Add input validation in deserialize_history() for non-list/non-dict data.
- Strengthen test assertion for preserved recent window tail.


* Fix CI test failures in compaction and NLQ chat tests.

- Lower max_tokens budget in test_drops_low_value to reliably force
  compaction (500 was borderline, use 200).
- Consume SSE response data before asserting mock calls in NLQ chat
  test, since Flask's streaming generator only executes on iteration.


* Clarify mock patch target in NLQ chat test.

Add comment explaining why we patch the source module rather than the
use site: the endpoint uses a local import inside the function body,
so there is no module-level binding to patch.

2026-03-16 19:02:36 +05:30

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en_US

Fix an issue where the AI Assistant was not retaining conversation context between messages, with chat history compaction to manage token budgets.

2026-03-16 19:02:36 +05:30