refactor(detekt): extract magic-number constants, wrap long lines, drop legit suppressions

Mechanical detekt cleanup across apps/core/infrastructure (behavior-preserving):
- MagicNumber 62->10: named constants + removed 'legit' MagicNumber suppressions
  (Tier level from ordinal, ReplayInferenceProvider CHARS_PER_TOKEN, ConfigLoader
  DEFAULT_* consts, capability scores, HTTP ranges, column widths, etc.)
- MaxLineLength cut to ~0 in production modules (line wraps, no logic change)
- Dropped one dead parameter (ConfigLoader.parseArray lineNum)

Structural findings (ReturnCount/LongMethod/Complexity/LargeClass) left for a
deliberate decomposition pass. Full build + detekt gate green.

infrastructure/src/main/kotlin/com/correx/infrastructure/InfrastructureModule.kt

@@ -84,12 +84,17 @@ object InfrastructureModule {
     private val defaultArtifactsRoot: String =
         "${System.getProperty("user.home")}/.config/correx/artifacts"
 
+    private const val LLAMA_CODING_SCORE = 0.7
+    private const val LLAMA_REASONING_SCORE = 0.6
+    private const val LLAMA_SUMMARIZATION_SCORE = 0.8
+    private const val LLAMA_TOOL_CALLING_SCORE = 0.5
+
     private val DEFAULT_LLAMA_CAPABILITIES: Set<CapabilityScore> = setOf(
         CapabilityScore(ModelCapability.General, 1.0),
-        CapabilityScore(ModelCapability.Coding, 0.7),
-        CapabilityScore(ModelCapability.Reasoning, 0.6),
-        CapabilityScore(ModelCapability.Summarization, 0.8),
-        CapabilityScore(ModelCapability.ToolCalling, 0.5),
+        CapabilityScore(ModelCapability.Coding, LLAMA_CODING_SCORE),
+        CapabilityScore(ModelCapability.Reasoning, LLAMA_REASONING_SCORE),
+        CapabilityScore(ModelCapability.Summarization, LLAMA_SUMMARIZATION_SCORE),
+        CapabilityScore(ModelCapability.ToolCalling, LLAMA_TOOL_CALLING_SCORE),
     )
 
     fun createEventStore(artifactStore: ArtifactStore, dbPath: String = defaultDbPath): EventStore {
@@ -326,6 +331,17 @@ object InfrastructureModule {
         val repository = DefaultTalkieRepository(replayer)
         val ideaReader = IdeaReader(eventStore)
         val contextBuilder = DefaultTalkieContextBuilder(config, tokenizer, ideaProvider = { ideaReader.activeIdeas() })
-        return DefaultTalkieFacade(repository, contextBuilder, inferenceRouter, eventStore, config, null, embedder, l3MemoryStore, workflowSummaryProvider, sessionProfileProvider)
+        return DefaultTalkieFacade(
+            repository,
+            contextBuilder,
+            inferenceRouter,
+            eventStore,
+            config,
+            null,
+            embedder,
+            l3MemoryStore,
+            workflowSummaryProvider,
+            sessionProfileProvider,
+        )
     }
 }