chore(workspace): final sync and remote standards update
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37
multiagent/content-moderation.gbai/content-moderation.bas
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37
multiagent/content-moderation.gbai/content-moderation.bas
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' Content Moderation Workflow with AI
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USE KB "community-guidelines"
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USE TOOL "image-analysis"
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USE TOOL "text-sentiment"
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ORCHESTRATE WORKFLOW "content-moderation"
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STEP 1: BOT "content-analyzer" "scan content"
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' Multi-modal content analysis
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STEP 2: BOT "policy-checker" "verify guidelines"
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' Check against community standards
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IF toxicity_score > 0.7 OR contains_explicit_content = true THEN
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STEP 3: BOT "auto-moderator" "remove content"
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PUBLISH EVENT "content_removed"
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ELSE IF toxicity_score > 0.4 THEN
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STEP 4: HUMAN APPROVAL FROM "moderator@platform.com"
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TIMEOUT 3600 ' 1 hour for borderline content
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ON TIMEOUT: APPROVE WITH WARNING
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END IF
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' Enhanced LLM for context understanding
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result = LLM "Analyze content context and cultural sensitivity"
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WITH OPTIMIZE FOR "quality"
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WITH MAX_COST 0.05
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IF result.contains("cultural_sensitivity_issue") THEN
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STEP 5: BOT "cultural-advisor" "review context"
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END IF
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' Learn from moderation decisions
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BOT SHARE MEMORY "moderation_patterns" WITH "content-analyzer-v2"
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PUBLISH EVENT "moderation_complete"
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TALK "Content moderation completed"
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' Example: Customer Support Workflow with Enhanced Orchestration
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' This demonstrates the new ORCHESTRATE WORKFLOW, event system, and bot memory sharing
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USE KB "support-policies"
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USE TOOL "check-order"
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USE TOOL "process-refund"
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' Set up event handlers
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ON EVENT "approval_received" DO
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TALK "Manager approval received, processing refund..."
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END ON
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ON EVENT "timeout_occurred" DO
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TALK "Approval timeout, escalating to director..."
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END ON
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' Main workflow orchestration
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ORCHESTRATE WORKFLOW "customer-complaint-resolution"
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STEP 1: BOT "classifier" "analyze complaint"
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' Classifier bot analyzes the complaint and sets variables
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STEP 2: BOT "order-checker" "validate order details"
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' Order checker validates the order and warranty status
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' Conditional logic based on order value
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IF order_amount > 100 THEN
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STEP 3: HUMAN APPROVAL FROM "manager@company.com"
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TIMEOUT 1800 ' 30 minutes
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ON TIMEOUT: ESCALATE TO "director@company.com"
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' Wait for approval event
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WAIT FOR EVENT "approval_received" TIMEOUT 3600
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END IF
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STEP 4: PARALLEL
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BRANCH A: BOT "refund-processor" "process refund"
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BRANCH B: BOT "inventory-updater" "update stock levels"
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END PARALLEL
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STEP 5: BOT "follow-up" "schedule customer check-in"
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DELAY 86400 ' 24 hours later
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' Share successful resolution patterns with other support bots
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BOT SHARE MEMORY "successful_resolution_method" WITH "support-bot-2"
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BOT SHARE MEMORY "customer_satisfaction_score" WITH "support-bot-3"
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' Sync knowledge from master support bot
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BOT SYNC MEMORY FROM "master-support-bot"
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' Publish completion event for analytics
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PUBLISH EVENT "workflow_completed"
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TALK "Customer complaint resolved successfully!"
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21
multiagent/customer-support-workflow.gbai/package.json
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multiagent/customer-support-workflow.gbai/package.json
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{
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"name": "Customer Support Workflow",
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"description": "Advanced customer support workflow with multi-agent orchestration, event handling, and bot memory sharing",
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"version": "1.0.0",
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"author": "General Bots",
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"category": "customer-support",
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"keywords": ["workflow", "orchestration", "customer-support", "multi-agent"],
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"features": [
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"Multi-step workflow orchestration",
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"Human approval integration",
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"Event-driven coordination",
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"Cross-bot memory sharing",
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"Parallel processing",
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"Automatic escalation"
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],
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"requirements": {
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"tools": ["check-order", "process-refund"],
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"knowledge_bases": ["support-policies"],
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"bots": ["classifier", "order-checker", "refund-processor", "inventory-updater", "follow-up"]
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}
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}
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45
multiagent/marketing-campaign.gbai/marketing-campaign.bas
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multiagent/marketing-campaign.gbai/marketing-campaign.bas
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' Marketing Campaign Automation
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USE KB "brand-guidelines"
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USE TOOL "social-media-post"
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USE TOOL "email-sender"
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USE TOOL "analytics-tracker"
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ORCHESTRATE WORKFLOW "marketing-campaign"
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STEP 1: BOT "audience-segmenter" "analyze target demographics"
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' AI-powered audience analysis
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STEP 2: BOT "content-creator" "generate campaign materials"
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' Multi-modal content generation
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' Smart LLM routing for different content types
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email_content = LLM "Create engaging email subject line"
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WITH OPTIMIZE FOR "cost"
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social_content = LLM "Create viral social media post"
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WITH OPTIMIZE FOR "quality"
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WITH MAX_LATENCY 5000
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STEP 3: PARALLEL
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BRANCH A: BOT "email-scheduler" "send email campaign"
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BRANCH B: BOT "social-scheduler" "post to social media"
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BRANCH C: BOT "ad-manager" "launch paid ads"
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END PARALLEL
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' Wait for initial results
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WAIT FOR EVENT "campaign_metrics_ready" TIMEOUT 7200
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STEP 4: BOT "performance-analyzer" "analyze results"
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IF engagement_rate < 0.02 THEN
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STEP 5: BOT "optimizer" "adjust campaign parameters"
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PUBLISH EVENT "campaign_optimized"
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END IF
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' Share successful campaign patterns
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BOT SHARE MEMORY "high_engagement_content" WITH "content-creator-v2"
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BOT SHARE MEMORY "optimal_timing" WITH "scheduler-bots"
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PUBLISH EVENT "campaign_complete"
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TALK "Marketing campaign launched and optimized!"
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multiagent/order-processing.gbai/order-processing.bas
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multiagent/order-processing.gbai/order-processing.bas
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' E-commerce Order Processing Workflow
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USE KB "order-policies"
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USE TOOL "validate-payment"
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USE TOOL "reserve-inventory"
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USE TOOL "send-confirmation"
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ORCHESTRATE WORKFLOW "order-processing"
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STEP 1: BOT "fraud-detector" "analyze transaction"
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' AI-powered fraud detection
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STEP 2: BOT "inventory-checker" "verify availability"
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' Check stock levels and reserve items
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IF fraud_score > 0.8 THEN
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STEP 3: HUMAN APPROVAL FROM "security@store.com"
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TIMEOUT 900 ' 15 minutes for high-risk orders
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ON TIMEOUT: REJECT ORDER
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END IF
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IF payment_method = "credit_card" THEN
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STEP 4: BOT "payment-processor" "charge card"
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ELSE
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STEP 4: BOT "payment-processor" "process alternative"
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END IF
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STEP 5: PARALLEL
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BRANCH A: BOT "shipping-optimizer" "select carrier"
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BRANCH B: BOT "inventory-updater" "update stock"
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BRANCH C: BOT "notification-sender" "send confirmation"
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END PARALLEL
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' Share successful processing patterns
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BOT SHARE MEMORY "fraud_indicators" WITH "fraud-detector-backup"
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BOT SHARE MEMORY "shipping_preferences" WITH "logistics-bot"
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' Publish completion event
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PUBLISH EVENT "order_processed"
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TALK "Order processed successfully!"
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