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Replay: carry the reasoning switch in the plan, sweeps, and every request - #22
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…request The only way to run a local model with thinking off was an ephemeral patch in the willie container that read SCOUT_REPLAY_REASONING; nothing recorded it, and a thinking-on and a thinking-off run of the same configuration hashed to the same plan. A candidate plan now carries `reasoning: bool | None` (None leaves the provider default). It flows from `--reasoning on|off` on replay and batch-replay, or from a sweep variant's / sweep-level `reasoning` field (replay-sweep v1 gains the optional boolean on both axes), into BatchVariant.reasoning_override, the v2 candidate config, the batch parent's candidate config (`reasoning_override`), the canonical plan's variant entries and worker configuration (so it moves plan_sha256), and retry reads it back from the parent. At execution the candidate LLM is wrapped in ReasoningControlClient, which pins CompletionParams.reasoning on every request; jig's adapters translate it (Ollama `think`, OpenRouter `reasoning.enabled`) or refuse before any request. An explicit switch is never a no-op, since the baseline ran on a provider default the plan cannot observe. Two sweep variants that differ only in their effective switch are distinct. The grid writes each model's `reasoning` into its generated sweep variant instead of requiring one value per backend, so one Ollama backend can serve think and nothink variants in the same sweep. Web: the strict candidate config and worker configuration schemas accept the optional field. PAA reference evidence and golden fixture re-rendered (the worker configuration is part of the plan hash). Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RzSnFgZ2rHydpunbz2b1V9
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Included review availability: 1 review is currently available. Your included PR review attempts over the past 7 days set your current allowance at 5 reviews per hour. 📝 WalkthroughWalkthroughReplay commands and sweep variants now support optional reasoning settings. The setting flows through schemas, planning, persisted worker configuration, retries, provider requests, web contracts, and validation. ChangesReplay reasoning control
Estimated code review effort: 3 (Moderate) | ~25 minutes Sequence Diagram(s)sequenceDiagram
participant ReplayCLI
participant ReplayPlanning
participant ReasoningControlClient
participant LLMClient
ReplayCLI->>ReplayPlanning: pass reasoning override
ReplayPlanning->>ReasoningControlClient: wrap client for explicit setting
ReasoningControlClient->>LLMClient: send request with pinned reasoning
LLMClient-->>ReasoningControlClient: return response or stream
ReasoningControlClient-->>ReplayPlanning: delegate result
Merge Risk: ⚪ Minimal · up to Replay reasoning settings are now persisted and propagated through planning and execution. No actionable merge-blocking risk is identified in the supplied review context. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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Inline comments:
In `@src/scout/replay/experiments.py`:
- Line 689: Validate reasoning_override in build_candidate_plan, accepting only
True, False, or None and rejecting values such as strings or integers before
constructing or persisting the plan. Ensure invalid input fails before preview,
authorization, or execution can perform any writes.
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📒 Files selected for processing (20)
contracts/replay-sweep-grid.v1.schema.jsoncontracts/replay-sweep.v1.schema.jsondocs/operations/offline-replay.mdevidence/paa/reference/experiment-summary.jsonevidence/paa/reference/reference-manifest.jsonsrc/scout/cli/main.pysrc/scout/cli/replay.pysrc/scout/reasoning_control.pysrc/scout/replay/experiments.pysrc/scout/replay/grid.pysrc/scout/replay/tasks.pytests/fixtures/paa_reference/expected/experiment-summary.jsontests/fixtures/paa_reference/expected/reference-manifest.jsontests/test_evaluation_experiments.pytests/test_reasoning_control.pytests/test_replay_cli.pytests/test_replay_grid.pyweb/__tests__/fixtures/replay-worker-configuration.jsonweb/lib/feedback-experiment-queries.tsweb/types/feedback-experiments.ts
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Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RzSnFgZ2rHydpunbz2b1V9
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Durable scout-side reasoning control. Replaces the ephemeral
SCOUT_REPLAY_REASONINGcontainer patch.What changes
CandidateReplayPlan.reasoning: bool | None. None leaves the provider default; True/False is pinned on every candidate request by a newReasoningControlClientwrapper (src/scout/reasoning_control.py), which setsCompletionParams.reasoning. Jig translates it per adapter (Ollamathink, OpenRouterreasoning.enabled) or refuses before any request.--reasoning on|offonscout feedback replayandbatch-replay(plain batch), orreasoning: true|falseon a replay-sweep v1 variant (either axis) or at the sweep top level as the shared default. Contract updated, still v1: the field is optional and every existing document stays valid.reasoning), the batch parent's candidate config (reasoning_override), the canonical plan's variant entries and worker configuration, soplan_sha256moves with it. Batch retry reads it back from the parent.reasoningis written into its generated sweep variant. The "one reasoning value per backend" rule is gone, since it is no longer an environment property.Not in this PR
SCOUT_REPLAY_REASONINGenv line as a record of how those runs were made. A rerun should usereasoning: falseon the frink models instead.Deploy note
Deploying this changes the plan hash for every configuration, so both relevance snapshots need re-snapshotting afterwards. The next willie deploy also drops the container's jig backport and env patch; with the pin bump in #19 and this PR neither is needed.
Verified locally: full Python suite (2467 passed), ruff, mypy, web tests (820), tsc.
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Summary by CodeRabbit
New Features
--reasoning on|off; omission preserves provider defaults.Bug Fixes