audit trail phase 1 and 2

.env.example

@@ -13,16 +13,23 @@ OIDC_ENDPOINT=https://your-oidc-provider.com
 OIDC_CLIENT_ID=your-client-id
 OIDC_CLIENT_SECRET=your-client-secret
 
-# ===================================================================
-# AI CONFIGURATION - Complete Reference for Improved Pipeline
-# ===================================================================
+# === STRATEGIC AI MODEL (Large context, analytical reasoning, precise output) ===
+AI_STRATEGIC_ENDPOINT=https://llm.mikoshi.de
+AI_STRATEGIC_API_KEY=sREDACTED3w
+AI_STRATEGIC_MODEL='mistral/mistral-large-latest'
+AI_STRATEGIC_MAX_CONTEXT_TOKENS=32000
+AI_STRATEGIC_MAX_OUTPUT_TOKENS=1000
+AI_STRATEGIC_TEMPERATURE=0.2
 
-# === CORE AI ENDPOINTS & MODELS ===
-AI_API_ENDPOINT=https://llm.mikoshi.de
-AI_API_KEY=sREDACTED3w
-AI_MODEL='mistral/mistral-small-latest'
+# === TACTICAL AI MODEL (Text generation, descriptions, cost-optimized) ===
+AI_TACTICAL_ENDPOINT=https://llm.mikoshi.de
+AI_TACTICAL_API_KEY=skREDACTEDw3w
+AI_TACTICAL_MODEL='mistral/mistral-small-latest'
+AI_TACTICAL_MAX_CONTEXT_TOKENS=8000
+AI_TACTICAL_MAX_OUTPUT_TOKENS=500
+AI_TACTICAL_TEMPERATURE=0.3
 
-# === IMPROVED PIPELINE: Use separate analyzer model (mistral-small is fine) ===
+# === LEGACY COMPATIBILITY (DEPRECATED - will be removed in next version) ===
 AI_ANALYZER_ENDPOINT=https://llm.mikoshi.de
 AI_ANALYZER_API_KEY=skREDACTEDw3w  
 AI_ANALYZER_MODEL='mistral/mistral-small-latest'
@@ -35,19 +42,31 @@ AI_EMBEDDINGS_MODEL=mistral-embed
 AI_EMBEDDINGS_BATCH_SIZE=20
 AI_EMBEDDINGS_BATCH_DELAY_MS=1000
 
-# === PIPELINE: VectorIndex (HNSW) Configuration ===
-AI_MAX_SELECTED_ITEMS=60                    # Tools visible to each micro-task 
-AI_EMBEDDING_CANDIDATES=60                  # VectorIndex candidates (HNSW is more efficient)
-AI_SIMILARITY_THRESHOLD=0.3                # Not used by VectorIndex (uses cosine distance internally)
+# === FORENSIC ENHANCEMENT CONFIGURATION ===
+FORENSIC_AUDIT_ENABLED=true
+FORENSIC_CONFIDENCE_SCORING_ENABLED=true
+FORENSIC_BIAS_DETECTION_ENABLED=true
+FORENSIC_AUDIT_RETENTION_DAYS=90
+FORENSIC_AUDIT_DETAIL_LEVEL=detailed
+
+# === CONFIGURABLE THRESHOLDS (NO MORE HARD-CODED VALUES) ===
+AI_MAX_SELECTED_ITEMS=60
+AI_EMBEDDING_CANDIDATES=60
+AI_SIMILARITY_THRESHOLD=0.3
+AI_CONFIDENCE_THRESHOLD=0.7
+AI_BIAS_ALERT_THRESHOLD=0.8
+TOOL_POPULARITY_BIAS_THRESHOLD=0.75
+EMBEDDINGS_CONFIDENCE_THRESHOLD=0.6
+SELECTION_CONFIDENCE_MINIMUM=0.5
 
 # === MICRO-TASK CONFIGURATION ===
-AI_MICRO_TASK_DELAY_MS=500                 # Delay between micro-tasks  
-AI_MICRO_TASK_TIMEOUT_MS=25000             # Timeout per micro-task (increased for full context)
+AI_MICRO_TASK_DELAY_MS=500
+AI_MICRO_TASK_TIMEOUT_MS=25000
 
 # === RATE LIMITING ===
-AI_RATE_LIMIT_DELAY_MS=3000                # Main rate limit delay
-AI_RATE_LIMIT_MAX_REQUESTS=6               # Main requests per minute (reduced - fewer but richer calls)
-AI_MICRO_TASK_RATE_LIMIT=15                # Micro-task requests per minute (was 30)
+AI_RATE_LIMIT_DELAY_MS=3000
+AI_RATE_LIMIT_MAX_REQUESTS=6
+AI_MICRO_TASK_RATE_LIMIT=15
 
 # === QUEUE MANAGEMENT ===
 AI_QUEUE_MAX_SIZE=50
@@ -58,15 +77,6 @@ AI_MICRO_TASK_DEBUG=true
 AI_PERFORMANCE_METRICS=true
 AI_RESPONSE_CACHE_TTL_MS=3600000
 
-# ===================================================================
-# LEGACY VARIABLES (still used but less important)
-# ===================================================================
-
-# These are still used by other parts of the system:
-AI_RESPONSE_CACHE_TTL_MS=3600000           # For caching responses
-AI_QUEUE_MAX_SIZE=50                       # Queue management
-AI_QUEUE_CLEANUP_INTERVAL_MS=300000       # Queue cleanup
-
 # === Application Configuration ===
 PUBLIC_BASE_URL=http://localhost:4321
 NODE_ENV=development