feat(tools): converge two-tier Quick/Pro selector onto .no fork
Port the dobetterlegal-tools two-tier quality stack to dobetternorge.no: QUALITY_TIERS registry + resolveTier (ToolModels), dbnToolsResolveToolRun (bootstrap), tier read+charge in the 6 analytical endpoints, Quick/Pro UI + payload.tier on the 6 tool pages/JS, and the bounded corpusContextForSummarize RAG fix (per-passage trim + total budget + reranker_enabled). Back-compat: requests without `tier` keep legacy engine behavior. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -36,14 +36,12 @@ require_once __DIR__ . '/includes/layout.php';
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<p class="upload-hint">The agent will analyse the document from <em>your</em> perspective — identifying supporting statutes, procedural red flags, and ECHR arguments for your position.</p>
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</div>
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<div class="control-row" id="bvjEngineControl">
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<span class="control-label">Engine</span>
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<label><input type="radio" name="bvjEngine" value="azure_mini" checked> Azure gpt-4o-mini ★ <small class="control-hint">(~30-60s)</small></label>
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<label><input type="radio" name="bvjEngine" value="azure_full"> Azure gpt-4o <small class="control-hint">(best · ~90-180s)</small></label>
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<label><input type="radio" name="bvjEngine" value="gpu"> GPU qwen2.5:14b <small class="control-hint">(local · ~45-90s)</small></label>
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<label><input type="radio" name="bvjEngine" value="dbn_legal_v3"> 🇳🇴⚔️ DBN Legal Agent ★ <small class="control-hint">(dbn-legal-agent-v3 fine-tune · ~20-60s)</small></label>
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<div class="control-row" id="bvjTierControl">
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<span class="control-label">Quality</span>
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<label><input type="radio" name="bvjTier" value="quick" checked> Quick ★ <small class="control-hint">(Claude Haiku · fast · 3 credits)</small></label>
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<label><input type="radio" name="bvjTier" value="pro"> Pro <small class="control-hint">(Claude Sonnet · best · 6 credits)</small></label>
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</div>
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<p class="upload-hint">Engine applies to the final advocacy synthesis only. Norwegian specialist v3 is the recommended choice for Barnevernet documents — it is fine-tuned on § 4-25, Strand Lobben, forvaltningsloven § 17/§ 41, and procedural red-flag detection. Classification, party extraction, and timeline always use azure-mini.</p>
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<p class="upload-hint">Quality applies to the final advocacy synthesis only. Quick uses Claude Haiku 4.5 — fast and accurate for most Barnevernet documents (3 credits). Pro uses Claude Sonnet 4.6 — better at § 4-25 threshold errors, Strand Lobben / forvaltningsloven § 17/§ 41 procedural red flags, and ECHR argumentation (6 credits). Classification, party extraction, and timeline always use the quick engine.</p>
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<div class="dr-slice-section">
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<p class="control-label">Corpus slices</p>
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