9 Commits

Author SHA1 Message Date
Hyeonsang Cho
1f1192fd80
fix(agents): keep the todo completion reminder when a model call is retried (#6132)
* fix(agents): keep the todo completion reminder when a model call is retried

TodoMiddleware drained its queued completion reminder inside
wrap_model_call before calling the handler. LLMErrorHandlingMiddleware
sits outside it and retries a failed call by running that wrap again, so
the retry went out with an empty queue while the run had already spent
one of its two reminders on the lost one.

Drain the reminder once per wrap, and when the handler raises put it
back in front of the queue without counting it again, then re-raise. A
run whose reminder state was cleared while the call was in flight does
not get it back.

* docs(changelog): reference #6132 in the todo reminder retry entry

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-10-01 10:37:09 +08:00
Keswyk Cheung
ef21855b8d
fix: discard stale todo reminders during context compaction (#5614)
* fix: rebuild todo reminders after context compaction

* chore: remove implementation plan from PR

* refactor: share todo reminder message name

* docs: keep agent guidance within CI size budgets

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-09-22 17:45:01 +08:00
Dan Caldr
19266a5eac
fix(middlewares): end length-capped turns cleanly, prevent todo re-engagement, annotate write_file budget (#5569)
* fix(middlewares): end length-capped turns cleanly, prevent todo re-engagement, annotate write_file budget

When a model hits its per-response output cap (finish_reason=length) while
emitting a write_file tool call, ModelLengthFinishReasonMiddleware suppresses
the truncated call and stamps model_length_termination. TodoMiddleware must
not re-engage (jump_to=model) on such a capped turn -- doing so re-emits the
same oversized call into the same cap, producing up to 3 futile responses
with junk fragments instead of a clean truncation notice.

Changes:
- TodoMiddleware.after_model: skip completion reminder jump when
  additional_kwargs.model_length_termination is present (follows the existing
  deerflow_error_fallback precedent).
- ModelLengthFinishReasonMiddleware: always append the length notice when
  tool calls were suppressed, even when partial text survived (collapses the
  visible-content ternary). Fixes a latent bug in append_visible_text that
  silently dropped string content.
- tools.get_available_tools: annotate write_file's model-visible description
  with the model's configured max_tokens output budget. Guarded extraction
  safely handles missing or non-numeric tokens, and the tool is cloned via
  model_copy to keep module-level singletons immutable across assemblies and
  prevent guidance leakage to unbudgeted models.
- release_policy_parameters() updated for both middlewares.
- AGENTS.md chain entries (#20, #35) and module docstrings updated within
  AG002 guidance limits.
- Tests: 8 new/focused unit tests + 1 updated pin + 1 real create_agent()
  integration test reproducing the incident (thread b1723286).

* fix(tools): use effective model cap for write_file guidance

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-09-20 19:28:21 +08:00
Nan Gao
2bb230b334
fix(todo-middleware): call super in wrap_model_call to restore write_todos prompt injection (#4714) (#4735)
* fix(todo-middleware): call super in wrap_model_call to restore write_todos prompt injection (#4714)

* test(todo-middleware): add async no-reminder system-prompt passthrough test (review feedback)
2026-08-11 11:41:31 +08:00
AochenShen99
c002596ab4
chore(todo): remove unused completion reminder counter (#3530) 2026-06-12 22:48:47 +08:00
QY
92905e9e3e
fix(todo): reuse thread state schema (#3206)
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-05-26 23:58:08 +08:00
Nan Gao
0c37509b38
fix(middleware): Prevent todo completion reminder IMMessage leak (#2907)
* fix(middleware): Prevent todo completion reminder IMMessage leak (#2892)

* make format

* fix(middleware): Clear stale todo reminder counts (#2892)

* add size guard for _completion_reminder_counts and add a integration test
2026-05-15 22:12:37 +08:00
Octopus
e4f896e90d
fix(todo-middleware): prevent premature agent exit with incomplete todos (#2135)
* fix(todo-middleware): prevent premature agent exit with incomplete todos

When plan mode is active (is_plan_mode=True), the agent occasionally
exits the loop and outputs a final response while todo items are still
incomplete. This happens because the routing edge only checks for
tool_calls, not todo completion state.

Fixes #2112

Add an after_model override to TodoMiddleware with
@hook_config(can_jump_to=["model"]). When the model produces a
response with no tool calls but there are still incomplete todos, the
middleware injects a todo_completion_reminder HumanMessage and returns
jump_to=model to force another model turn. A cap of 2 reminders
prevents infinite loops when the agent cannot make further progress.

Also adds _completion_reminder_count() helper and 14 new unit tests
covering all edge cases of the new after_model / aafter_model logic.

* Remove unnecessary blank line in test file

* Fix runtime argument annotation in before_model

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

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Co-authored-by: octo-patch <octo-patch@github.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-04-14 11:11:26 +08:00
Andrew Barnes
ac97dc6d42
test: add unit tests for TodoMiddleware (#1307)
* test: add unit tests for TodoMiddleware

Cover context-loss detection logic:
- _todos_in_messages and _reminder_in_messages helpers
- _format_todos formatting
- Reminder injection when write_todos truncated
- No-op when todos visible or reminder already present
- abefore_model async delegation

* test: fix event loop error in todo middleware async test

Use asyncio.run() instead of get_event_loop().run_until_complete()
to avoid RuntimeError on Python 3.12 where no default event loop
exists in the main thread.

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-03-26 00:20:50 +08:00