auditor: Level 1 correction — keep think=true, only temp=0 is needed

The previous Level 1 commit set think=false which broke the cloud
inference check on real PR audits. gpt-oss:120b is a reasoning model;
at think=false on large prompts (40KB diff + 14 claims) it returned
empty content — verified by inspecting verdict 8-8e4ebbe4b38a which
showed "cloud returned unparseable output — skipped" with 13421
tokens used and head:<empty>.

Small-prompt tests passed because the model could respond without
needing to think. Real audits with the full diff + claims context
require the reasoning channel to produce any output at all.

The determinism we need comes from temp=0 (greedy sampling). The
reasoning trace at think=true varies in prose but greedy sampling
converges to the same FINAL classification from identical starting
state, so signatures remain stable.

max_tokens restored to 3000 for the think trace + response.

auditor/checks/inference.ts

@@ -112,19 +112,22 @@ export async function runInferenceCheck(claims: Claim[], diff: string): Promise<
           { role: "system", content: systemMsg },
           { role: "user", content: userMsg },
         ],
-        // Deterministic classification mode — temp=0 is greedy-sample,
+        // Deterministic classification — temp=0 is greedy-sample, so
-        // so identical input → identical output on the same model
+        // identical input yields identical output on the same model
-        // version. think=false disables the reasoning trace that was
+        // version. This kills the signature creep we observed in the
-        // letting variable prose leak into the classification output
+        // 9-run empirical test (sig_count 16→27 from cloud phrasing
-        // and inflate the audit_lessons signature set (observed as
+        // variance at temp=0.2).
-        // sig_count creep across the 9-run empirical test).
         //
-        // max_tokens tightened to 1500 — the structured JSON response
+        // IMPORTANT: keep think=true. gpt-oss:120b is a reasoning
-        // fits comfortably in 1500 tokens for typical PRs (~7 claims);
+        // model; setting think=false caused it to return empty content
-        // the old 3000 just gave the model room to wander.
+        // on large prompts (observed during Level 1 validation: 13421
-        max_tokens: 1500,
+        // tokens used, empty content returned). The reasoning trace is
+        // variable prose, but at temp=0 the FINAL classification is
+        // still deterministic because greedy sampling converges to
+        // the same conclusion from the same starting state.
+        max_tokens: 3000,
         temperature: 0,
-        think: false,
+        think: true,
       }),
       signal: AbortSignal.timeout(CALL_TIMEOUT_MS),
     });