fix(llm-client): canonical reasoning representation + target reasoning-pin precedence - #620
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…nflicting reasoning representations
Two issues when translating OpenAI-family requests:
1. **Target policy precedence.** `merge_extra_body` only fills absent keys
(or_insert), so when a target pins its thinking policy via `extra_body`
(`reasoning = { effort = "none" }` on a non-thinking lane, or
`reasoning = { enabled = false }`), a caller that supplies its own nested
`reasoning` object silently displaces the target's policy through merge
precedence. A route author's non-thinking lane would run reasoning after
all. After merge, the target's reasoning pin is re-asserted: it replaces
the caller's nested `reasoning` object and the flat `reasoning_effort` is
dropped. Wired for OpenAI Chat and Responses backends.
2. **Conflicting dual representation.** OpenRouter rejects a body carrying
both a nested `reasoning.effort` and a caller flat `reasoning_effort` with
conflicting values ("reasoning_effort and reasoning.effort are both
provided with conflicting values"). With no target pin, the nested object
is canonical and the flat field is dropped.
Regression tests cover: NT-pin overrides caller reasoning (flat and nested),
`enabled = false` pin overrides caller reasoning, and dual-representation
suppression without a pin.
Signed-off-by: RedEyeNinja-BKK <232920946+RedEyeNinja-BKK@users.noreply.github.com>
… coverage, scope the helper docs Review findings: (1) the helper's doc comment implied a provider-general invariant while the integration is OpenAI-family - the doc now says so explicitly; (2) the wired-but-untested OpenAI Responses path now has a target-pin precedence regression test; (3) a true no-pin test covers the conflicting dual-representation suppression, distinct from the target-pin case; (4) renamed the pin-path test to describe what it exercises. Signed-off-by: RedEyeNinja-BKK <232920946+RedEyeNinja-BKK@users.noreply.github.com>
WalkthroughChangesThe OpenAI Chat and Responses request paths now canonicalize reasoning fields after backend defaults merge. Target-pinned nested values take precedence, and conflicting flat fields are removed. Integration tests cover both backends and precedence cases. Reasoning canonicalization
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: 🟡 Moderate · up to OpenAI-family requests with disabled nested reasoning can still send a conflicting flat reasoning effort, potentially producing incorrect upstream reasoning behavior. This should be fixed and covered by regression testing before merge. Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@crates/libsy-llm-client/src/client.rs`:
- Around line 873-878: Update the reasoning-object detection condition in the
request canonicalization logic to recognize any object-valued reasoning field,
not only one containing a string effort value. Ensure nested reasoning takes
precedence over and removes the flat reasoning_effort field when no target pin
exists, and add a regression test covering reasoning.enabled=false with
reasoning_effort.
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…ut a pin CodeRabbit review finding on PR NVIDIA-NeMo#620 (Major, functional correctness): the no-pin branch of canonicalize_reasoning_effort only suppressed the flat reasoning_effort when the nested reasoning object carried a string effort. A body like {"reasoning": {"enabled": false}, "reasoning_effort": "high"} therefore shipped the conflicting dual representation to the upstream, violating the nested-over-flat canonicalization contract. Any object-valued reasoning is now canonical: the flat field is dropped regardless of whether the object carries an effort. Regression test covers the no-pin enabled=false + flat effort case end-to-end. Signed-off-by: RedEyeNinja-BKK <232920946+RedEyeNinja-BKK@users.noreply.github.com>
Mechanical formatting only; no semantic change. Signed-off-by: RedEyeNinja-BKK <232920946+RedEyeNinja-BKK@users.noreply.github.com>
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This feels like a lot of test code for the size of the proposed change. Could we reduce the amount of repeated setup and keep the coverage more focused? |
afourniernv
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please try to shorten inline comments and test cases. This is a really large PR for the proposed work
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I think the client is the right layer for this, but this changes @nachiketb-nvidia could you take a look at the intended |
2 participants
OpenAI-family targets pin their thinking policy via
extra_body(for example a non-thinking lane carryingreasoning = { effort = "none" }, orreasoning = { enabled = false }). Becausemerge_extra_bodyonly fills absent keys (or_insert semantics), a caller that supplies its own nestedreasoningobject silently displaces the target's policy: a non-thinking lane would run reasoning its route author disabled.This series re-asserts the target's reasoning pin after merge (replacing any caller-supplied nested
reasoningobject and dropping the flatreasoning_effort), on OpenAI Chat and Responses backends. It also fixes the conflicting dual representation OpenRouter rejects ("reasoning_effort and reasoning.effort are both provided with conflicting values"): with no target pin, a body carrying both a nestedreasoning.effortand a conflicting flatreasoning_effortnow drops the flat field and keeps the nested object, which is the canonical form.Regression tests cover: target NT-pin precedence (Chat and Responses legs),
enabled = falsepins, and dual-representation suppression with and without a target pin. Anthropic's separate thinking contract is explicitly out of scope.DCO signed.
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