EX MCP Server

# Phase F Implementation Plan (Maps to External Review Phase 2) One-line YES/NO: YES — Plan sequences advanced agentic capabilities with safety rails and measurable outcomes. EXAI-MCP summary: provider=GLM primary, Kimi targeted; cost=$0 for planning; total call time≈instant ## Objectives and Outcomes - Autonomous workflow execution with planning and monitoring - Intelligent error recovery and self-optimization - Proactive monitoring and anomaly detection - UX: progressive disclosure, NL commands, suggestions, friendly errors - Unified tool framework + intelligent tool chaining + parameter suggestions - Hybrid reasoning modes + cost optimization + predictive maintenance + analytics ## Scope (Phase 2.1–2.4) - 2.1 Autonomous capabilities + recovery + self-optimization + monitoring - 2.2 Progressive UX + NL command processor + suggestions + friendly errors - 2.3 Unified tool framework + tool chaining + parameter suggestions + performance selection - 2.4 Hybrid reasoning modes + cost optimization + predictive maintenance + analytics dashboard ## Deliverables - workflows/autonomous_engine.py, workflows/error_recovery.py, workflows/learning/ - monitoring/proactive_monitor.py - ui/progressive_interface.md (design), nl/nl_commands.py, suggestions/engine.py, messages/friendly_errors.py - tools/unified_framework.py, tools/tool_chaining.py, tools/parameter_suggestion.py, tools/perf_selection.py - reasoning/hybrid_engine.py, cost/cost_optimization.py, maintenance/predictive.py, analytics/dashboard_stub.md - Tests for each component ## Sequencing (6–8 weeks) 1) Engine Foundations (Weeks 1–2) - AutonomousWorkflowEngine skeleton + execution loop + logging - IntelligentErrorRecovery with pattern registry; async recovery hooks - Proactive monitoring skeleton; anomaly detection stubs 2) UX Layer (Weeks 2–3) - NL command processor MVP (intent patterns + param extraction) - Progressive disclosure interface configs; friendly error messages - Suggestion engine scaffold 3) Unified Tools & Chaining (Weeks 3–5) - UnifiedTool base + manager; performance tracker stubs - Tool chaining with simple dependency graph; parallel groups - Parameter suggestion MVP; performance-based selection stub 4) Hybrid Reasoning & Cost (Weeks 5–6) - Reasoning mode selection with thresholds; integrate with router - Cost optimization engine MVP; budget/usage stubs 5) Predictive/Analytics (Weeks 6–8) - Predictive maintenance stubs; analytics dashboard data model - Tighten monitoring; close feedback loops ## Success Criteria (per external prompt) - Autonomous complex workflow success >80% - Error recovery >90% recovery rate in tests - NL intent recognition >90% on sample set; UI adaptation >85% - Tool chaining success >90%; parameter suggestion accuracy >80% - Hybrid mode selection >90% optimal; cost reduction >25% on scenarios - Proactive monitoring anomaly detection >95% ## Dependencies - Phase E completed (platforms, router/context, streaming interface) - Keys, configs, SecureInputValidator ## Risks/Mitigations - Complexity creep: deliver stubs first, iterate with tests - Accuracy tuning: create small curated test packs; measure and iterate - Cost tracking: start with estimates; later wire real telemetry ## Verification Plan - Component tests + scenario suites per capability - Simulator workflows for multi-step autonomy - Metrics recorded to docs/sweep_reports with thresholds ## Rollout - Merge per sub-module with tests; run scenario suite; docs; PR