fix(libsy): drop reasoning from task classifier history - #610
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Signed-off-by: Eugen Nekhai <eugen.nekhai@gmail.com>
Walkthrough
ChangesClassifier history filtering
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🟡 Moderate · up to Classifier history can still include reasoning embedded in tool results, leaving the intended reasoning-removal behavior incomplete and potentially sending unsupported private content upstream. Poem
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Inline comments:
In `@crates/libsy/src/algorithms/llm_class.rs`:
- Line 183: Update the classifier request construction around the
ContentBlock::Reasoning retain logic to remove reasoning blocks nested inside
ToolResult.content, not only top-level blocks. Preserve valid non-reasoning tool
content, enforce a text-only ToolResult.content invariant if that is the
established design, and add a regression test covering nested reasoning in
windowed classifier messages.
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ayushag-nv
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Just one test related comment and rest looks good. Thanks @eugenn for contributing.
| /// classifier once that reasoning is removed, so it must not survive as an | ||
| /// empty message. | ||
| #[test] | ||
| fn a_window_drops_a_message_that_was_reasoning_only() { |
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You can test both in just one test. No need to add two tests for this.
|
@eugenn This looks good to me. Please address Ayush’s request to combine the two tests, then we can merge. |
|
@eugenn friendly bump :) would love to get this in! |
What
TaskInput::build_messagesnow removesContentBlock::Reasoningfrom the history ithands to an LLM task classifier, and drops a message that removal leaves empty. User
text, visible assistant text, tool calls and tool results are unchanged.
Why
With
recent_turn_windowconfigured, the classifier sees recent assistant turns, andthose can carry a reasoning item that came from a Responses upstream. Such a block
always decodes with
signature: None(decode_responses_reasoning_itemneverpopulates
details), andencode_responses_special_inputre-emits it as:{"type": "reasoning", "content": [{"type": "reasoning_text", "text": "..."}], "summary": []}which the upstream rejects:
The classifier fails open, so the user turn survives, but the routing decision is lost
and the warning repeats on every turn of the session.
Private model reasoning is not needed to classify the user's task, so the classifier
input is the right boundary for this. Filtering in the shared Responses codec instead
would change reasoning round-trip behavior for ordinary traffic, and reconstructing a
replayable provider reasoning item needs an explicit representation of the opaque
state — a larger change than the failure warrants.
Scope: both
build_capabilityandbuild_customconstructTaskInput, so capabilityand custom-schema classifiers are covered by the one change. Escalation classifiers use
EscalationInput, which flattens the conversation into a single user summary message,so no structured reasoning block ever reaches the wire there.
Tool call/result pairing is unaffected: the window is still selected by
window_start,the filtering runs after selection, and a reasoning block never participates in a pair.
Tests
Two tests in
crates/libsy/src/algorithms/llm_class.rs:a_window_drops_reasoning_but_keeps_visible_text_and_tool_pairs— no reasoning blocksurvives, while visible assistant text and a complete tool call/result pair do.
a_window_drops_a_message_that_was_reasoning_only— a reasoning-only assistant turnis removed entirely rather than left behind as an empty message.
Gates run locally:
cargo fmt --all --check,cargo clippy --workspace --all-targets -- -D warnings,cargo test --workspace,uv run ruff check .,uv run mypy switchyard,uv run pytest tests/.Also verified against a live Responses-compatible upstream: before the change the
classifier call was rejected with the error above; after it the classifier request is
accepted.
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