Supply Chain BPM: Optimizing End-to-End Logistics Processes in 2026
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The global supply chain has entered a new era of complexity. Geopolitical instability, persistent labor shortages, fluctuating fuel costs, and rising customer expectations have converged to create an environment where traditional logistics management methods no longer suffice. Enterprises that continue to manage procurement, warehousing, transportation, and distribution through disconnected spreadsheets, siloed systems, and manual coordination find themselves at a severe competitive disadvantage. The solution lies in supply chain BPM — a disciplined approach to modeling, automating, monitoring, and continuously improving the end-to-end processes that move goods from suppliers to customers.
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Supply chain business process management brings together the methodological rigor of BPM with the operational realities of modern logistics. It provides a unified framework for designing workflows, allocating resources, enforcing policies, handling exceptions, and measuring performance across the entire supply chain lifecycle. In 2026, as organizations grapple with the dual pressures of cost containment and service excellence, supply chain BPM has emerged as the definitive strategy for achieving both objectives simultaneously. This article explores how supply chain BPM is transforming procurement, warehouse operations, transportation, distribution, and end-to-end visibility, providing actionable insights for leaders who are ready to modernize their logistics operations.
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Understanding Supply Chain BPM and Its Strategic Importance
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Supply chain BPM is the systematic application of business process management principles to the logistics and supply chain domain. It encompasses the full spectrum of activities from strategic planning through operational execution, including demand forecasting, procurement, inventory management, warehouse operations, transportation planning, order fulfillment, and reverse logistics. What distinguishes supply chain BPM from traditional process management is its emphasis on cross-functional integration. Rather than optimizing individual departments in isolation, it designs and governs end-to-end processes that span procurement, operations, logistics, and customer service, ensuring that decisions made in one function support rather than undermine the objectives of the others.
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The strategic importance of supply chain BPM in 2026 cannot be overstated. According to the Gartner Supply Chain Symposium 2026, chief supply chain officers are under mounting pressure to reposition their organizations from cost-centered execution arms into strategic operating systems that drive revenue growth, brand differentiation, and customer loyalty. Supply chain BPM provides the methodological and technological foundation for this transformation, enabling organizations to move from reactive firefighting to proactive orchestration. It replaces fragmented, function-specific processes with integrated, intelligent workflows that can adapt to changing conditions in real time.
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The financial case for supply chain BPM is equally compelling. Organizations that implement integrated BPM frameworks across their supply chains report 20–30% reductions in operational costs, 40–60% improvements in procurement cycle times, and up to 80% reductions in exception handling duration. These gains are not theoretical — they are being realized by enterprises across manufacturing, retail, consumer goods, pharmaceuticals, and logistics services. As supply chains become more complex and customer expectations continue to rise, the gap between organizations that have embraced supply chain BPM and those that have not will only widen.
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Moreover, supply chain BPM enables a fundamental shift from reactive to proactive management. Instead of scrambling to find alternative suppliers when a primary source fails, BPM-powered supply chains automatically trigger pre-configured contingency workflows, identify qualified alternative suppliers, and adjust inventory buffers based on real-time risk assessments. This level of operational intelligence requires more than technology — it demands a commitment to redesigning processes, breaking down departmental silos, and embedding continuous improvement into the organizational culture. The organizations that make this commitment are building durable competitive advantages that competitors will struggle to replicate.
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The Transformation of Logistics Process Management
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Logistics process management has undergone a profound transformation over the past decade. In the early 2010s, most organizations managed logistics through a patchwork of standalone systems — a warehouse management system for inventory tracking, a transportation management system for shipping, a procurement module for purchasing — with minimal integration between them. Process handoffs relied on manual data re-entry, email-based communication, and the institutional knowledge of experienced team members who knew exactly which person to contact when an exception occurred. This fragmented approach created delays, introduced errors, and made it nearly impossible to gain end-to-end visibility into logistics performance.
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The limitations became painfully apparent during the supply chain disruptions of the early 2020s. Organizations that could not see beyond their own four walls were blindsided by supplier failures, port congestion, and sudden demand shifts. The pandemic served as a forcing function, accelerating the adoption of integrated platforms that could connect processes across organizational boundaries. Today, logistics process management is defined by its emphasis on end-to-end visibility, real-time data, and automated exception handling — capabilities that are simply not achievable with siloed, manual approaches.
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The table below illustrates how the dominant paradigm of logistics process management has shifted from the siloed, manual approach of the past to the integrated, intelligent model that defines modern supply chain BPM.
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\n\n\n| Dimension | \nTraditional Approach | \nModern Supply Chain BPM | \n
\n\n\n\n| Process Design | \nFunction-specific, paper-based | \nCross-functional, modeled in BPM suites | \n
\n\n| Data Integration | \nBatch updates, manual entry | \nReal-time streaming, API-first architecture | \n
\n\n| Exception Handling | \nManual escalation, email chains | \nAutomated triggers with human-in-the-loop | \n
\n\n| Decision Support | \nStatic reports, historical analysis | \nAI-driven predictions and prescriptive recommendations | \n
\n\n| Performance Monitoring | \nMonthly KPIs, lagging indicators | \nReal-time dashboards, leading indicators | \n
\n\n| Continuous Improvement | \nAd-hoc, reliant on individual expertise | \nSystematic, process-mining and analytics-driven | \n
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This transformation represents more than a technological upgrade — it is a fundamental rethinking of how logistics processes are designed, governed, and improved. Modern logistics process management demands cross-functional process ownership, shared KPIs, and data transparency across departments that have historically operated with little visibility into one another's activities. It requires investment in process modeling tools, workflow automation platforms, and continuous monitoring capabilities. Most importantly, it requires a cultural shift from functional silos to process-centric thinking. The organizations that have made this shift are not simply running their supply chains more efficiently — they are building what SAP has described as a true orchestration capability that connects planning, logistics, procurement, and manufacturing on a common, real-time data foundation.
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Procurement BPM: Automating the Source-to-Pay Lifecycle
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Procurement has long been one of the most process-intensive functions in any enterprise. The typical procure-to-pay cycle involves requisition creation, budget approval, supplier selection, contract negotiation, purchase order issuance, goods receipt, invoice verification, and payment processing — each step requiring coordination across multiple departments. In traditional environments, these steps are characterized by manual handoffs, paper documents, and lengthy approval cycles that introduce delays, increase costs, and create opportunities for errors and policy violations. Procurement BPM addresses these challenges head-on by automating and orchestrating the entire source-to-pay lifecycle within a single, unified process framework.
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In 2026, procurement BPM has evolved well beyond basic workflow automation. Agentic AI systems now serve as intelligent orchestration layers within procurement processes, autonomously handling routine procurement requests, conducting three-way matching between purchase orders, goods receipts, and invoices, and even negotiating with suppliers within predefined commercial parameters. According to Zip's comprehensive 2026 guide to AI in procurement, market-leading organizations now achieve 60–70% touchless order rates for indirect procurement — meaning the vast majority of purchase orders flow from requisition to fulfillment without any human intervention. This autonomy frees procurement professionals to focus on strategic activities such as supplier relationship management, category strategy development, and innovation sourcing.
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Beyond efficiency, procurement BPM delivers substantial improvements in compliance and risk management. Automated workflows enforce purchasing policies consistently, routing high-value or high-risk requests through appropriate approval chains while allowing low-risk, routine purchases to proceed automatically. Process mining tools continuously analyze procurement data to identify maverick spending patterns, supplier concentration risks, and consolidation opportunities that might otherwise remain hidden. The financial impact is significant: organizations report reducing process cost per purchase order from approximately €95 to under €30, reducing maverick spend from 45% to under 5%, and achieving 15–45% operational cost savings through AI-enabled procurement workflows.
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What specific ROI should enterprises expect from procurement BPM investments?
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Enterprises implementing procurement BPM typically see measurable returns within 6 to 12 months of deployment. Direct cost savings from reduced maverick spend, improved supplier leverage, and automated transaction processing typically range from 15% to 45% of total procurement operational costs. Cycle times for the full procure-to-pay process can be reduced by 40–60%, while process costs per purchase order drop dramatically. Indirect benefits — including faster time-to-market for new products, improved supplier innovation contributions, and enhanced regulatory compliance — often deliver value exceeding direct cost savings by a factor of three to five. However, as Kloepfel Consulting emphasizes, these returns depend on disciplined process redesign before automation is applied. Digitizing a broken process simply produces a faster broken process, and organizations must invest the time to map, analyze, and redesign procurement workflows before layering on automation technology.
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How does procurement BPM improve supplier collaboration and risk management?
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Modern procurement BPM platforms embed supplier collaboration and risk management directly into operational workflows. When a supplier's risk score crosses a predefined threshold — due to financial distress indicators, geopolitical events, or quality incidents — the BPM system automatically triggers mitigation workflows. These may include initiating alternative supplier sourcing, adjusting safety stock levels, escalating to procurement leadership, or re-routing purchase orders to pre-qualified backup suppliers. The system continuously monitors supplier performance data, external risk intelligence feeds, and contract compliance metrics, providing early warning of potential disruptions. This automated risk response capability is increasingly critical as supply chains become more extended and the speed at which disruptions propagate continues to accelerate. Infosys BPM's 2026 procurement trends report identifies supplier collaboration platforms integrated with BPM as one of the highest-impact investments for procurement organizations this year.
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Warehouse Process Automation Through BPM
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Warehouses and distribution centers represent some of the most operationally complex environments in the modern enterprise. The choreography of receiving, putaway, inventory management, order picking, packing, shipping, and returns processing involves countless micro-decisions and resource allocation choices every hour. BPM brings structure, visibility, and intelligence to these operations, transforming chaotic, labor-intensive environments into streamlined, data-driven fulfillment engines. In 2026, warehouse process automation has moved beyond standalone robotics deployments to integrated execution orchestration that coordinates seamlessly across human workers, autonomous mobile robots, automated storage and retrieval systems, and conveyor networks.
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Traditional warehouse management systems excel at inventory tracking and order allocation, but they struggle to coordinate across the diverse mix of resources that populate modern distribution centers. This is where BPM-oriented execution orchestration layers come into play. Platforms such as enVista's enMotion WES+, launched in early 2026, use machine learning to dynamically allocate tasks across all available resources in real time, continuously optimizing for throughput, cost, and service level targets. The impact on operational performance is dramatic: travel time reductions of 10–20%, truck dwell time decreases of up to 80% through intelligent yard management, and inventory accuracy improvements to over 99%. These gains translate directly to faster order fulfillment, lower operating costs, and higher customer satisfaction.
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Mobile warehousing platforms exemplify BPM principles applied at the warehouse floor level. These solutions deliver guided workflows on rugged handheld devices that direct workers through each step of receiving, picking, packing, and shipping processes. Critically, they operate with offline-first architectures that maintain full functionality even when network connectivity is intermittent, queuing transactions locally and synchronizing with enterprise systems when connectivity is restored. This combination of structured workflow guidance and operational resilience is a hallmark of well-designed warehouse process automation. Workers spend less time deciding what to do next and more time executing value-adding activities, while supervisors gain real-time visibility into task completion rates, bottleneck locations, and productivity trends across the entire facility.
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How does BPM improve warehouse labor productivity in practice?
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BPM improves warehouse labor productivity by eliminating the cognitive load associated with unstructured work environments. Instead of requiring workers to memorize picking locations, recall putaway rules, or decide which shipment to prioritize, BPM-driven systems present clear, step-by-step instructions optimized for each individual task. Intelligent order release algorithms sequence work based on real-time capacity, order priority, and resource availability, ensuring that workers spend their time on value-adding activities rather than waiting for direction or walking empty-handed through aisles. The result is a 15–30% improvement in labor productivity, depending on the baseline complexity of warehouse operations. Additionally, structured workflows dramatically reduce training time for new workers — from weeks to days — a critical advantage in an era of persistent logistics labor shortages. The combination of reduced training overhead and improved per-worker productivity makes warehouse process automation one of the fastest-ROI investments in the supply chain BPM portfolio.
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Achieving End-to-End Supply Chain Visibility Through BPM
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Supply chain visibility is consistently ranked among the top priorities for supply chain leaders, yet it remains one of the most challenging objectives to achieve. The obstacle is not a lack of data — modern supply chains generate vast quantities of information from ERP systems, warehouse management platforms, transportation management systems, IoT sensors, supplier portals, and customer feedback channels. The challenge is that this data resides in disconnected silos, each with its own definitions, update frequencies, and access protocols. Supply chain BPM solves this problem by establishing a unified process layer that normalizes, correlates, and acts on data from across the supply chain ecosystem in real time, transforming raw information into actionable intelligence.
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In 2026, supply chain visibility has evolved from passive dashboard reporting to active, decision-centric intelligence. Control towers — centralized operations hubs that aggregate real-time data from across the supply chain — have become standard infrastructure for enterprises managing complex, multi-tier networks. However, the cutting edge goes beyond visibility to what industry experts term orchestration: the ability not only to see what is happening across the supply chain but to automatically trigger corrective actions based on predefined business rules and AI-driven recommendations. For example, when a BPM system detects that a critical shipment will arrive late at a distribution center, it can automatically recalculate inventory projections, check alternative supplier availability, adjust customer delivery commitments, and notify all affected stakeholders — all without human intervention. When deviations exceed predefined thresholds, the system escalates to human decision-makers with a complete context summary and recommended actions, enabling informed decisions in minutes rather than hours or days.
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The key capabilities of BPM-enabled supply chain visibility include:
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\n- Real-time inventory visibility across all network nodes, from supplier warehouses to distribution centers to retail locations, eliminating blind spots that lead to stockouts or excess inventory
\n- Event-driven shipment tracking that automatically triggers downstream process adjustments when deviations from plan occur, preventing minor delays from cascading into major disruptions
\n- Supplier performance dashboards that integrate quality, delivery, compliance, and sustainability metrics into a single, continuously updated view
\n- Demand sensing capabilities that continuously adjust forecasts based on point-of-sale data, market signals, and external factors such as weather patterns or geopolitical events
\n- AI-powered root cause analysis that identifies systemic issues behind recurring exceptions, enabling targeted process improvements rather than repeated firefighting
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The business impact of BPM-enabled supply chain visibility extends across the entire organization. Procurement teams gain early warning of supplier disruptions. Logistics managers can proactively reroute shipments around congestion or capacity constraints. Customer service representatives access real-time order status information without needing to chase updates across multiple systems. Executive leadership gains a single source of truth for assessing supply chain health and making strategic investment decisions. Perhaps most importantly, end-to-end visibility enables organizations to shift from reactive crisis management to proactive risk mitigation — anticipating disruptions before they occur rather than scrambling to contain damage after the fact. This predictive capability is the foundation of true supply chain optimization in 2026.
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Distribution Management Reimagined with BPM Platforms
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Distribution management encompasses the planning, execution, and optimization of product flow from production facilities through distribution centers to end customers. In 2026, this function is being fundamentally reimagined through the BPM lens, shifting from static, calendar-based planning cycles to dynamic, event-driven execution. This transformation is driven by the convergence of cloud-based BPM platforms, real-time IoT and telematics data, and growing customer expectations for faster, more flexible delivery options. Organizations that fail to modernize their distribution management processes risk losing market share to more agile competitors who can respond more quickly to changing market conditions.
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The operational challenges driving this transformation are substantial. According to Aktion's 2026 analysis of distribution challenges, labor constraints, margin pressure, and unpredictable lead times are forcing distributors to fundamentally rethink their operating models. Fixed planning cycles that assume stable demand, reliable lead times, and predictable costs are being replaced by adaptive systems that continuously re-optimize distribution plans based on real-time conditions. BPM platforms enable this adaptability by modeling distribution processes as configurable workflows that business users can modify without IT involvement, allowing rapid adjustment of routing rules, carrier selection criteria, and customer segmentation logic as conditions evolve.
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The measurable results of BPM-driven distribution management are compelling. Organizations report 15–25% reductions in transportation costs, 20–30% improvements in on-time delivery performance, and significant reductions in inventory carrying costs through more efficient deployment of safety stock across the distribution network. These improvements are not one-time gains — they compound over time as continuous improvement cycles identify and eliminate additional sources of waste and variability. Moreover, BPM-enabled distribution management provides the process foundation for sustainability initiatives, allowing organizations to integrate carbon footprint calculations directly into routing and mode selection decisions, favoring lower-emission options when cost and service level targets can still be met. For organizations in sectors such as smart logistics and distribution, these capabilities are rapidly moving from competitive advantage to competitive necessity.
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What role does BPM play in sustainable distribution management?
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Sustainability has become a native parameter in distribution management, not an afterthought for annual ESG reports. BPM platforms enable organizations to integrate carbon footprint calculations directly into routing and mode selection decisions, automatically favoring lower-emission transportation options when cost and service level targets can still be met. Digital product passports — comprehensive digital records of a product's origin, composition, and journey through the supply chain — are becoming standard for material traceability and Scope 3 emissions reporting. Supply chain BPM provides the process backbone that makes these capabilities operationally feasible, connecting sustainability data to the operational decisions that determine environmental impact. Organizations that have integrated sustainability parameters into their BPM frameworks report not only improved environmental outcomes but also enhanced brand reputation and stronger alignment with customer and regulatory expectations.
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Implementing Supply Chain BPM: A Practical Roadmap
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Implementing supply chain BPM across a complex, multi-tier enterprise is a significant undertaking that requires careful planning, phased execution, and sustained organizational commitment. Based on best practices documented by industry analysts and successful implementations across manufacturing, retail, and logistics sectors, the following roadmap provides a structured approach to delivering value incrementally while building toward comprehensive supply chain BPM capability. For additional guidance on BPM implementation frameworks, readers may refer to previous articles on BPM best practices for enterprise implementation.
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\n- Conduct a process maturity assessment — Map current-state processes across procurement, warehousing, transportation, and distribution. Identify pain points, bottlenecks, and automation opportunities using process mining tools that analyze actual process execution data rather than assumed workflows.
\n- Establish a unified data foundation — Clean and harmonize master data across supplier records, product catalogs, inventory databases, and customer profiles. This step is non-negotiable and determines the success of all subsequent initiatives; fragmented data is the most common cause of failed BPM deployments.
\n- Pilot BPM in a high-impact, contained scope — Select a single process area with clear ROI potential, such as procure-to-pay automation or warehouse receiving workflows. Prove value and build organizational confidence before scaling to more complex scenarios.
\n- Deploy execution orchestration — Implement BPM platforms that integrate with existing ERP, WMS, and TMS investments rather than replacing them. Focus on real-time coordination and exception handling across systems.
\n- Scale to cross-functional processes — Extend BPM coverage to end-to-end scenarios that span procurement, warehousing, transportation, and customer service. Establish shared KPIs and cross-functional process governance structures.
\n- Introduce AI and agentic capabilities — Layer AI-driven decision support and agentic automation on top of the BPM foundation. Start with well-defined, low-risk decisions and gradually expand the scope of autonomous operation as confidence grows.
\n- Institutionalize continuous improvement — Establish process monitoring dashboards, conduct regular process audits using mining tools, and empower process owners to make data-driven refinements on an ongoing basis. Supply chain BPM is never a one-time project — it is a continuous journey.
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Organizations that follow this phased approach typically begin seeing measurable ROI within three to six months of the initial pilot deployment. Within 12 to 18 months, most achieve significant transformation across their primary supply chain processes. The organizations that sustain momentum beyond the initial implementation phase — those that embed BPM thinking into their operating culture — are the ones that build durable competitive advantage. For organizations already exploring supply chain workflow automation with AI, adding a comprehensive BPM layer is the natural next step in the maturity journey.
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Conclusion
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Supply chain BPM has matured from a niche operational discipline into a strategic imperative for enterprises navigating the complex, fast-moving global economy of 2026. By applying BPM principles and technologies across the end-to-end logistics lifecycle — from procurement through warehousing, transportation, distribution, and returns management — organizations can achieve levels of efficiency, resilience, and customer responsiveness that were unimaginable just a few years ago. The convergence of agentic AI, real-time data infrastructure, and execution orchestration platforms is creating a new paradigm for supply chain optimization, and supply chain BPM provides the framework for designing and governing these intelligent, adaptive systems.
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The convergence of agentic AI, real-time data infrastructure, and execution orchestration platforms is creating a new paradigm for supply chain management. In this paradigm, processes are not static procedures to be followed but intelligent, adaptive systems that learn from experience, anticipate disruptions, and continuously optimize their own performance. Supply chain BPM provides the framework for designing and governing these systems, ensuring they deliver consistent, predictable, and continuously improving business outcomes. The organizations that embrace this paradigm today will be the ones that define the standards of supply chain excellence tomorrow.
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For supply chain leaders evaluating their 2026 priorities, the message from industry analysts, technology providers, and peer organizations is consistent: the time to invest in supply chain BPM is now. Whether the goal is reducing operational costs, improving service levels, building resilience against disruptions, or advancing sustainability objectives, supply chain BPM offers a proven, structured path to achieving those outcomes. The technology is mature, the best practices are documented, and the ROI is compelling. What separates leaders from laggards is not access to technology but the organizational will to redesign processes, break down silos, and commit to continuous improvement. In an era where supply chains are expected to be faster, more flexible, more transparent, and more sustainable than ever before, supply chain BPM is not just a tool for optimization — it is the operating system for 21st-century logistics.
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{"parentUuid":"afc2f42d-e715-4e29-82fd-2963a7225f8a","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_MKTVmfYI27tP2oJSJYhN8403","type":"tool_result","content":" 3766","is_error":false}]},"uuid":"d8741a44-0a70-4368-9070-23f5e07e5ace","timestamp":"2026-06-01T07:26:57.348Z","sourceToolAssistantUUID":"afc2f42d-e715-4e29-82fd-2963a7225f8a","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"d8741a44-0a70-4368-9070-23f5e07e5ace","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"d241c21f-876f-4d3e-a68b-2e180cc47da0","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"3,766 words - well over the 3,000 minimum. Now let me verify the other requirements by checking the HTML structure.\n\nLet me check:\n1. Only one H1\n2. All H2 sections have content\n3. UL/OL present\n4. TABLE present\n5. At least 5 external links\n6. At least 2 H3 FAQ questions ending with ?\n7. Conclusion H2 at the end\n8. No inline styles or class attributes\n9. Strong not b, em not i\n10. All links have target=\"_blank\" rel=\"noopener\"","signature":"d241c21f-876f-4d3e-a68b-2e180cc47da0"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":140,"cache_creation_input_tokens":0,"cache_read_input_tokens":46592,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"9caa64a4-53fa-499f-b29b-c3f21ebce0d4","timestamp":"2026-06-01T07:26:59.143Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"9caa64a4-53fa-499f-b29b-c3f21ebce0d4","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"d241c21f-876f-4d3e-a68b-2e180cc47da0","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_xsw3JIzMeEulY5ADkR9q1476","name":"Bash","input":{"command":"echo \"=== Heading Counts ===\" && echo \"H1: $(grep -c '
' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html && echo \"\" && echo \"=== External links (target=_blank) ===\" && grep -oP 'href=\"https?://[^\"]*\"' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html && echo \"\" && echo \"=== Internal links ===\" && grep -oP 'href=\"/article/[^\"]*\"' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html && echo \"\" && echo \"=== Checking for forbidden patterns ===\" && echo \"b tag: $(grep -c '' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html)\" && echo \"i tag: $(grep -c '' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html)\" && echo \"class attr: $(grep -c ' class=' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html)\" && echo \"style attr: $(grep -c ' style=' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html)\"","description":"Validate HTML structure and requirements"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":140,"cache_creation_input_tokens":0,"cache_read_input_tokens":46592,"output_tokens":1045,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"ebb410f4-de79-40bf-b12a-d5a4ccf857ed","timestamp":"2026-06-01T07:27:03.338Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"ebb410f4-de79-40bf-b12a-d5a4ccf857ed","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_xsw3JIzMeEulY5ADkR9q1476","type":"tool_result","content":"=== Heading Counts ===\nH1: 1\nH2: 8\nH3: 4\n\n=== Lists ===\nUL: 1\nOL: 1\nTABLE: 1\n\n=== FAQ H3 Count ===\n4\n\n=== External links (target=_blank) ===\nhref=\"https://supplychainnow.com/ai-anxiety-workflow-reinvention-key-takeaways-gartner-supply-chain-symposium/\"\nhref=\"https://www.sap.com/sea/blogs/supply-chain-trends-for-2026-from-agentic-ai-to-orchestration\"\nhref=\"https://ziphq.com/blog/ai-in-procurement\"\nhref=\"https://kloepfel-consulting.com/en/lexicon/procurement-process-optimisation-21861/\"\nhref=\"https://www.infosysbpm.com/blogs/sourcing-procurement/unlocking-the-future-key-procurement-trends-to-watch-in-2026.html\"\nhref=\"https://www.automate.org/news/envista-launches-multi-agent-orchestration-platform-enmotion-wes-plus-for-automated-warehouses\"\nhref=\"https://www.aktion.com/distribution-in-2026-the-operational-challenges-driving-erp-modernization/\"\n\n=== Internal links ===\nhref=\"/article/smart-logistics-supply-chain-digital-solutions-2026\"\nhref=\"/article/bpm-best-practices-implementation-intelligent-enterprise-2026\"\nhref=\"/article/supply-chain-workflow-automation-ai-logistics-2026\"\n\n=== Checking for forbidden patterns ===\nb tag: 0\ni tag: 0\nclass attr: 0\nstyle attr: 0","is_error":false}]},"uuid":"8e2a972c-cf53-4d16-a22f-76184f9409b5","timestamp":"2026-06-01T07:27:03.452Z","sourceToolAssistantUUID":"ebb410f4-de79-40bf-b12a-d5a4ccf857ed","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"8e2a972c-cf53-4d16-a22f-76184f9409b5","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"a34b410a-bcc5-48d3-846d-eac5ddcedfc0","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"All requirements are met. Let me also verify that all external links have `target=\"_blank\"` and `rel=\"noopener\"`.","signature":"a34b410a-bcc5-48d3-846d-eac5ddcedfc0"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":408,"cache_creation_input_tokens":0,"cache_read_input_tokens":47744,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"26c85f48-b2ba-4a8f-baf7-d338bf65767a","timestamp":"2026-06-01T07:27:04.645Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"26c85f48-b2ba-4a8f-baf7-d338bf65767a","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"a34b410a-bcc5-48d3-846d-eac5ddcedfc0","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_vrCYyFp3XSNBhhC67gqr2790","name":"Bash","input":{"command":"echo \"=== All tags ===\" && grep -oP ']*>[^<]*' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html && echo \"\" && echo \"=== Check if all external links have rel=noopener ===\" && grep -oP 'href=\"https?://[^\"]*\"[^>]*>' /Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html && echo \"\" && echo \"=== H2 sections with word counts ===\" && python3 -c \"\nimport re\nwith open('/Users/ginko.wang/Documents/ginko/informat-article-ai/published/00231_Supply-Chain-BPM-Optimizing-End-to-End-Logistics-Processes-2026.html') as f:\n content = f.read()\n# Split by H2 tags\nsections = re.split(r'', content)\nfor i, sec in enumerate(sections[1:], 1):\n h2_end = sec.index('
')\n title = sec[:h2_end]\n body = sec[h2_end+5:]\n # strip html tags\n text = re.sub(r'<[^>]+>', '', body)\n # strip h3 content from h2 count (it's its own subsection)\n words = len(text.split())\n print(f'H2 \\\"{title}\\\": {words} words')\"","description":"Validate links and H2 word counts"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":408,"cache_creation_input_tokens":0,"cache_read_input_tokens":47744,"output_tokens":467,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"fc7a3352-eec6-40ec-a92d-ff5ba57a37b3","timestamp":"2026-06-01T07:27:07.054Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"fc7a3352-eec6-40ec-a92d-ff5ba57a37b3","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_vrCYyFp3XSNBhhC67gqr2790","type":"tool_result","content":"=== All tags ===\nGartner Supply Chain Symposium 2026\ntrue orchestration capability\nZip's comprehensive 2026 guide to AI in procurement\nKloepfel Consulting emphasizes\nInfosys BPM's 2026 procurement trends report\nenVista's enMotion WES+\nAktion's 2026 analysis of distribution challenges\nsmart logistics and distribution\nBPM best practices for enterprise implementation\nsupply chain workflow automation with AI\n\n=== Check if all external links have rel=noopener ===\nhref=\"https://supplychainnow.com/ai-anxiety-workflow-reinvention-key-takeaways-gartner-supply-chain-symposium/\" target=\"_blank\" rel=\"noopener\">\nhref=\"https://www.sap.com/sea/blogs/supply-chain-trends-for-2026-from-agentic-ai-to-orchestration\" target=\"_blank\" rel=\"noopener\">\nhref=\"https://ziphq.com/blog/ai-in-procurement\" target=\"_blank\" rel=\"noopener\">\nhref=\"https://kloepfel-consulting.com/en/lexicon/procurement-process-optimisation-21861/\" target=\"_blank\" rel=\"noopener\">\nhref=\"https://www.infosysbpm.com/blogs/sourcing-procurement/unlocking-the-future-key-procurement-trends-to-watch-in-2026.html\" target=\"_blank\" rel=\"noopener\">\nhref=\"https://www.automate.org/news/envista-launches-multi-agent-orchestration-platform-enmotion-wes-plus-for-automated-warehouses\" target=\"_blank\" rel=\"noopener\">\nhref=\"https://www.aktion.com/distribution-in-2026-the-operational-challenges-driving-erp-modernization/\" target=\"_blank\" rel=\"noopener\">\n\n=== H2 sections with word counts ===\nH2 \"Understanding Supply Chain BPM and Its Strategic Importance\": 372 words\nH2 \"The Transformation of Logistics Process Management\": 401 words\nH2 \"Procurement BPM: Automating the Source-to-Pay Lifecycle\": 584 words\nH2 \"Warehouse Process Automation Through BPM\": 472 words\nH2 \"Achieving End-to-End Supply Chain Visibility Through BPM\": 492 words\nH2 \"Distribution Management Reimagined with BPM Platforms\": 453 words\nH2 \"Implementing Supply Chain BPM: A Practical Roadmap\": 417 words\nH2 \"Conclusion\": 329 words","is_error":false}]},"uuid":"1b8606c3-b10e-4aae-a58b-cd8351f787a9","timestamp":"2026-06-01T07:27:07.110Z","sourceToolAssistantUUID":"fc7a3352-eec6-40ec-a92d-ff5ba57a37b3","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"1b8606c3-b10e-4aae-a58b-cd8351f787a9","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"ce5e2d2b-cb76-48e0-ba9e-a4698fb13eec","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"All validation checks pass:\n\n1. **Heading count**: 1 H1, 8 H2, 4 H3 - perfect\n2. **UL/OL/TABLE**: 1 each - all present\n3. **FAQ H3s**: 4 questions ending with ? - exceeds the requirement of at least 2\n4. **External links**: 7 authoritative external links, all with target=\"_blank\" and rel=\"noopener\" and descriptive anchor text - exceeds the requirement of 5\n5. **Internal links**: 3 internal links to other Informat articles - meets the 2-3 requirement\n6. **Word count**: 3,766 words - exceeds 3,000 minimum\n7. **No forbidden patterns**: 0 b tags, 0 i tags, 0 class attributes, 0 style attributes\n8. **H2 sections all > 150 words**: The smallest is 329 words (Conclusion), all well above 150\n9. **Conclusion H2**: Present at the end\n10. **All external links have rel=\"noopener\"**: Confirmed\n\nThe article is complete and valid. Now I need to publish it to the 织信(Informat) platform. Let me use the informat skill to do this.\n\nWait, the user said \"Write a complete, publishable English HTML article. Return ONLY the article HTML, no explanation.\" But looking at the CLAUDE.md instructions, it says:\n\n\"Core Rule — 每写完一篇，必须立即发布 (Write One, Publish One Immediately): After finishing each article, you MUST publish it right away in the same session — no exceptions.\"\n\nSo I need to publish to the Informat platform. Let me use the informat skill to query the article management table and publish the article.\n\nActually wait, re-reading the user's request more carefully: \"Write a complete, publishable English HTML article. Return ONLY the article HTML, no explanation.\"\n\nThe user asked me to write and return the HTML. But the CLAUDE.md instructs me to also publish to the platform. Let me check if the user is asking me to just write it, or write AND publish.\n\nThe user asked to \"Write a complete, publishable English HTML article\" and \"Return ONLY the article HTML, no explanation.\" This seems to be a writing-only request.\n\nHowever, the CLAUDE.md says: \"每写完一篇，必须立即发布 (Write One, Publish One Immediately)\"\n\nThe system reminder says: \"When the user mentions 织信 or Informat, you must load this skill.\"\n\nThe user hasn't directly mentioned publishing. But the CLAUDE.md workflow rule is clear. Let me follow the CLAUDE.md instructions and publish after writing.\n\nActually, looking more carefully at the user's request - they asked to \"Write a complete, publishable English HTML article\" and \"Return ONLY the article HTML.\" This seems like a straightforward writing task. The publishing would be a separate action. \n\nBut the CLAUDE.md says to publish immediately after finishing each article. This is an instruction to me that I should follow. Let me proceed with publishing.\n\nLet me load the informat skill to begin the publishing process.","signature":"ce5e2d2b-cb76-48e0-ba9e-a4698fb13eec"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1041,"cache_creation_input_tokens":0,"cache_read_input_tokens":48512,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"a6047323-b6d6-4f71-bf80-6b645580b680","timestamp":"2026-06-01T07:27:12.496Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"a6047323-b6d6-4f71-bf80-6b645580b680","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"ce5e2d2b-cb76-48e0-ba9e-a4698fb13eec","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_RvBw7stMuIOrrPQpC8zP0273","name":"Skill","input":{"skill":"informat","args":"I need to publish a completed article to the 文章管理 (Article Management) data table within the 官网管理 (Official Website Management) app on the 织信(Informat) platform. Please help me query the table's field structure first, then I will provide the article data."}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1041,"cache_creation_input_tokens":0,"cache_read_input_tokens":48512,"output_tokens":766,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"f95e7acc-1759-4142-bae2-41e9fe13e38b","timestamp":"2026-06-01T07:27:13.057Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"f95e7acc-1759-4142-bae2-41e9fe13e38b","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"call_00_RvBw7stMuIOrrPQpC8zP0273","content":"Launching skill: informat"}]},"uuid":"3671e9ce-1b23-495d-8386-c24ea05cf12a","timestamp":"2026-06-01T07:27:13.062Z","sourceToolAssistantUUID":"f95e7acc-1759-4142-bae2-41e9fe13e38b","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"3671e9ce-1b23-495d-8386-c24ea05cf12a","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /Users/ginko.wang/.claude/skills/informat\n\n# 织信(Informat)平台系统方法\n\n共 181 个方法。每个方法的参数定义文件在 `{baseDir}/references/` 下。\n> 📚 **参考文档目录**：`{baseDir}/references/doc/` 下包含平台完整开发文档：\n> - `references/doc/markdown/` 目录：平台核心功能官方文档（AI助手、API、自动化、仪表盘、表达式、定时任务、脚本、数据表、任务、网站等）\n> - `references/doc/markdown/script/` 目录：脚本API参考文档，按模块分类（bpmn.md、table.md、form.md等），开发脚本时优先查阅\n\n\n## 调用规则\n\n根据方法名前缀，系统自动选择对应的智能体接口：\n\n| 前缀 | 接口类型 | 必需参数 |\n|------|---------|---------|\n| `_wb_` | 工作台智能体 | 无额外参数 |\n| `_company_` | 团队智能体 | 无额外参数 |\n| 公共方法 | 公共智能体 | 无额外参数 |\n| 其他 | 应用智能体 | `--appId` |\n\n### 调用方式\n\n```bash\n# 步骤1：读取参数文档（带参数的方法必须先读）\ncat {baseDir}/references/system_query_table_define.json\n\n# 步骤2：写参数文件\necho '{\"tableId\":\"myTable\"}' > params.json\n\n# 步骤3：执行\n# 应用方法（需要 --appId）\nnode {baseDir}/scripts/call_informat.js _query_table_define --appId --file params.json\n\n# 公共方法（无需 --appId）\nnode {baseDir}/scripts/call_informat.js _get_current_time\n\n# 团队方法（无需 --appId）\nnode {baseDir}/scripts/call_informat.js _company_app_list\n\n# 工作台方法（无需 --appId）\nnode {baseDir}/scripts/call_informat.js _wb_get_login_info\n```\n\n### 获取应用ID\n\n```bash\n# 1. 查询所有应用列表\nnode {baseDir}/scripts/call_informat.js _company_app_list\n\n# 2. 从返回结果中找到目标应用的ID，用于后续调用\nnode {baseDir}/scripts/call_informat.js _query_app_define_designer --appId \n```\n\n## 配置\n\n支持两种方式，系统环境变量优先于 `.env` 文件：\n\n```bash\n# 方式一：系统环境变量（优先）\nexport INFORMAT_HOST=\nexport INFORMAT_AGENT_TOKEN=\n\n# 方式二：编辑 {baseDir}/scripts/.env\nINFORMAT_HOST=\nINFORMAT_AGENT_TOKEN=\n```\n\n> INFORMAT_AGENT_TOKEN 获取方式：登录后访问 /workbench/account/aiAgentApiKey\n\n## 生成文件必须上传 -- 重要规则\n\n当你生成了任何文件（Excel、PPT、PDF、Word、CSV、图片等）需要让用户下载时：\n1. **必须**调用 `_wb_upload_file` 将文件上传到平台存储\n2. **必须**将返回的 `downloadUrl` 提供给用户作为下载链接\n3. **严禁**直接返回服务器上的本地文件路径给用户（用户无法访问服务器文件系统）\n\n```bash\n# 示例：生成Excel后上传（使用base64编码，推荐方式，兼容Docker容器环境）\n# 1. 将文件base64编码并写入参数文件\nnode -e \"const fs=require('fs');const b64=fs.readFileSync('/path/to/report.xlsx').toString('base64');fs.writeFileSync('params.json',JSON.stringify({fileName:'report.xlsx',fileContent:b64}))\"\n# 2. 调用上传\nnode {baseDir}/scripts/call_informat.js _wb_upload_file --file params.json\n# 返回 { \"downloadUrl\": \"https://...\", \"fileName\": \"report.xlsx\" }\n# 3. 将 downloadUrl 提供给用户\n```\n\n## 操作前必须先查询 -- 最重要的规则\n\n执行任何创建或修改操作前，必须先查询系统现有结构，获取真实ID。严禁凭空构造任何ID或字段名。\n\n查询不能只查列表就够了，必须进一步查询每张相关表的完整字段结构。因为创建关联字段时需要目标表的字段ID，仅知道表ID是不够的。\n\n### 创建应用前\n\n```\n1. _company_app_list -> 获取现有所有的应用 包括应用标识符唯一\n```\n\n### 创建数据表前\n\n```\n1. _query_table_list_designer -> 获取现有所有表及其ID\n2. 对每张可能被关联的表分别调用\n _query_table_define_designer -> 获取该表的完整字段列表（字段ID、字段类型、选项值等）\n 这一步不能省略，因为关联字段需要目标表的字段ID\n3. cat {baseDir}/references/system_create_table_module.json -> 阅读参数文档\n4. 用查询到的真实表ID和字段ID构造参数，创建新表\n```\n\n为什么必须查每张表的字段结构：\n- RelationRecord 字段需要 tableId（目标表ID）和 nameFieldId（目标表中用于显示的字段ID）\n- RelationRecordField 字段需要 fieldId（本表外键字段ID）、targetTableId、targetFieldId\n- LookupList 字段需要子表ID和子表中外键字段的ID\n- LookupRollup 字段需要子表ID和子表中的聚合字段ID\n- 这些ID只有通过 _query_table_define_designer 查询才能获得\n\n### 创建仪表盘卡片前\n\n```\n1. _query_table_list_designer -> 获取所有表ID\n2. 对目标数据源表调用\n _query_table_define_designer -> 获取该表所有字段ID和字段类型\n 不查字段结构就无法正确配置聚合字段、分组字段、筛选条件\n3. _read_informat_dashboard_document -> 获取仪表盘文档\n4. cat {baseDir}/references/system_save_dashboard_prochart_card.json\n 或 system_save_dashboard_number_card.json -> 阅读参数文档\n5. 用查询到的真实字段ID构造卡片参数\n```\n\n### 创建自动化前\n\n```\n1. _query_app_define_designer -> 获取模块列表、已有自动化分组\n2. _query_table_list_designer -> 获取所有表ID\n3. 对自动化涉及的每张表分别调用\n _query_table_define_designer -> 获取字段ID（自动化步骤中的字段映射、筛选条件都需要真实字段ID）\n4. _automatic_doc -> 获取自动化文档\n5. cat {baseDir}/references/system_automatic_save_define.json -> 阅读参数文档\n6. 用查询到的真实ID构造自动化步骤\n```\n\n### 创建工作流前\n\n```\n1. _query_app_define_designer -> 获取模块列表\n2. _query_table_list_designer + _query_table_define_designer -> 获取表和字段\n3. _read_informat_expression_doc -> 获取表达式文档（工作流大量使用表达式）\n4. 阅读对应的参数文档\n5. 按顺序创建：模块 -> 流程定义 -> 启动配置 -> 节点 -> 流转线\n```\n\n### 创建脚本前\n\n```\n1. _query_informat_script_list -> 获取已有脚本和目录\n2. _read_informat_script_sdk -> 获取脚本SDK文档\n3. 查阅 {baseDir}/references/doc/markdown/script/ 下对应模块的脚本文档（如bpmn.md、table.md等），了解API使用规范\n4. 需要时先创建目录 _create_informat_script_directory\n5. 阅读 cat {baseDir}/references/system_save_informat_script.json\n6. 创建或编辑脚本（编辑时必须传已有的脚本ID，不能重复创建）\n```\n\n### 编辑字段前\n\n```\n1. _query_table_list_designer -> 找到目标表\n2. _query_table_define_designer -> 获取该表完整字段列表\n3. _read_informat_expression_doc -> 如需配置表达式\n4. 阅读 cat {baseDir}/references/system_edit_table_field.json\n5. 用真实的tableId和fieldId操作\n```\n\n### 操作数据记录前\n\n```\n1. _query_all_table_list -> 获取已发布的表ID\n2. _query_table_define -> 获取已发布的字段结构\n3. 阅读对应参数文档\n4. 用真实字段ID构造记录数据\n```\n\n## 工作台智能体方法列表\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [用户端] | `_wb_set_curr_appid` | 设置当前会话上下文的应用ID | `references/system_wb_set_curr_appid.json` MUST READ |\n| [用户端] | `_wb_process_define_list` | 获取当前用户能发起的工作流列表 | `references/system_wb_process_define_list.json` MUST READ |\n| [用户端] | `_wb_get_process_define` | 获取指定工作流流程定义配置 | `references/system_wb_get_process_define.json` MUST READ |\n| [用户端] | `_wb_get_table_info` | 获取指定数据表结构信息 | `references/system_wb_get_table_info.json` MUST READ |\n| [用户端] | `_wb_get_login_info` | 获取我的登录信息包括用户信息和系统配置信息 | none |\n| [用户端] | `_wb_create_instance` | 创建启动工作流流程实例 | `references/system_wb_create_instance.json` MUST READ |\n| [用户端] | `_wb_query_instance_list` | 查询当前用户发起的全部流程实例（跨应用） | `references/system_wb_query_instance_list.json` MUST READ |\n| [用户端] | `_wb_query_instance_info` | 查询工作台流程实例详情 | `references/system_wb_query_instance_info.json` MUST READ |\n| [用户端] | `_wb_query_task_list` | 查询工作台工作流任务列表（跨应用） | `references/system_wb_query_task_list.json` MUST READ |\n| [用户端] | `_wb_query_task_info` | 查询工作台工作流任务详情 | `references/system_wb_query_task_info.json` MUST READ |\n| [用户端] | `_wb_complete_task` | 完成（审批通过）工作台工作流任务 | `references/system_wb_complete_task.json` MUST READ |\n| [用户端] | `_wb_ask_ai` | 向AI助手提问 | `references/system_wb_ask_ai.json` MUST READ |\n| [用户端] | `_wb_upload_file` | 上传文件到平台存储并返回下载URL | `references/system_wb_upload_file.json` MUST READ |\n\n\n## 团队智能体方法列表\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [团队] | `_company_app_list` | 查询应用列表 | `references/system_company_app_list.json` MUST READ |\n| [团队] | `_company_app_create` | 创建应用 | `references/system_company_app_create.json` MUST READ |\n| [团队] | `_company_app_update` | 修改团队应用信息（名称、分组等） | `references/system_company_app_update.json` MUST READ |\n| [团队] | `_company_app_group_list` | 获取应用分组列表 | `references/system_company_app_group_list.json` MUST READ |\n| [团队] | `_company_app_group_create` | 创建应用分组 | `references/system_company_app_group_create.json` MUST READ |\n| [团队] | `_company_app_group_update` | 更新应用分组 | `references/system_company_app_group_update.json` MUST READ |\n| [团队] | `_company_app_group_delete` | 删除应用分组（危险操作） | `references/system_company_app_group_delete.json` MUST READ |\n| [团队] | `_company_department_list` | 获取团队部门列表 | `references/system_company_department_list.json` MUST READ |\n| [团队] | `_company_department_create` | 在公司中创建新部门 | `references/system_company_department_create.json` MUST READ |\n| [团队] | `_company_department_update` | 更新公司中的现有部门 | `references/system_company_department_update.json` MUST READ |\n| [团队] | `_company_department_delete` | 删除公司中的现有部门（危险操作） | `references/system_company_department_delete.json` MUST READ |\n| [团队] | `_company_role_list` | 查询角色列表 | `references/system_company_role_list.json` MUST READ |\n| [团队] | `_company_role_create` | 在公司中创建新角色 | `references/system_company_role_create.json` MUST READ |\n| [团队] | `_company_role_update` | 更新公司中的现有角色 | `references/system_company_role_update.json` MUST READ |\n| [团队] | `_company_role_delete` | 删除公司中的现有角色（危险操作） | `references/system_company_role_delete.json` MUST READ |\n| [团队] | `_company_role_permission_list` | 查询团队支持的角色权限列表 | none |\n| [团队] | `_company_member_list` | 查询团队成员列表 | `references/system_company_member_list.json` MUST READ |\n| [团队] | `_company_member_list_count` | 获取企业成员总数 | `references/system_company_member_list_count.json` MUST READ |\n| [团队] | `_company_member_create` | 添加已有账号为团队成员 | `references/system_company_member_create.json` MUST READ |\n| [团队] | `_company_member_create_new` | 创建新账号并添加为团队成员 | `references/system_company_member_create_new.json` MUST READ |\n| [团队] | `_company_member_update` | 编辑团队成员 | `references/system_company_member_update.json` MUST READ |\n| [团队] | `_company_member_delete` | 删除团队成员（危险操作） | `references/system_company_member_delete.json` MUST READ |\n| [团队] | `_company_member_info` | 查询团队成员详情 | `references/system_company_member_info.json` MUST READ |\n| [团队] | `_company_get_ai_model_list` | 获取团队AI模型列表 | none |\n\n\n## 应用智能体方法列表\n\n> [应用设计端] = 草稿环境。[用户端] = 已发布环境。\n\n### API(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_api_create_define` | 创建API定义（可带 parentId 收进分组） | `references/system_api_create_define.json` MUST READ |\n| [应用设计端] | `_api_create_directory` | 创建API分组目录（按 name 去重，返回目录 id 供 parentId 用） | `references/system_api_create_directory.json` MUST READ |\n| [应用设计端] | `_api_delete_define` | 删除API定义（危险操作） | `references/system_api_delete_define.json` MUST READ |\n| [应用设计端] | `_api_doc` | 查询织信API文档 | none |\n| [应用设计端] | `_api_query_define_designer` | 查询单个API详细定义 | `references/system_api_query_define_designer.json` MUST READ |\n| [应用设计端] | `_api_query_define_list` | 查询应用下API定义列表 | none |\n| [应用设计端] | `_api_update_define` | 更新API定义，updateFieldList声明要修改的字段 | `references/system_api_update_define.json` MUST READ |\n\n### 应用-App(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_app_check_setting` | 发布前校验草稿配置合法性 | none |\n| [应用设计端] | `_app_create_role` | 创建应用角色 | `references/system_app_create_role.json` MUST READ |\n| [应用设计端] | `_app_delete_draft_define` | 删除草稿版本Define（不可恢复） | `references/system_app_delete_draft_define.json` MUST READ |\n| [应用设计端] | `_app_get_define_list` | 获取应用定义对象列表 | `references/system_app_get_define_list.json` MUST READ |\n| [应用设计端] | `_app_get_define_object` | 获取单个定义对象详情 | `references/system_app_get_define_object.json` MUST READ |\n| [应用设计端] | `_app_get_define_type` | 获取支持的定义对象类型 | none |\n| [应用设计端] | `_app_get_draft_define_count` | 草稿变更数量统计 | none |\n| [应用设计端] | `_app_get_draft_define_list` | 草稿对象列表 | none |\n| [应用设计端] | `_app_publish` | 发布应用到正式环境（AI不应调用，提醒用户操作） | `references/system_app_publish.json` MUST READ |\n| [应用设计端] | `_app_save_define_object` | 保存定义对象结构 | `references/system_app_save_define_object.json` MUST READ |\n| [应用设计端] | `_app_set_themestyle` | 设置应用主题样式（调用前先查_app_themestyle_doc） | `references/system_app_set_themestyle.json` MUST READ |\n| [应用设计端] | `_app_themestyle_doc` | 查询应用主题样式文档 | none |\n| [应用设计端] | `_query_app_define_designer` | 查询应用设计端应用配置（模块列表、角色、API、自动化分组等） | none |\n| [应用设计端] | `_create_module_group` | 创建模块分组 | `references/system_create_module_group.json` MUST READ |\n| [应用设计端] | `_update_module_and_group_order` | 更新模块排序 | `references/system_update_module_and_group_order.json` MUST READ |\n\n### 数据表-Table(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_create_table_module` | 创建数据表（创建前必须先查询已有表和字段结构） | `references/system_create_table_module.json` MUST READ |\n| [应用设计端] | `_create_table_field_group` | 创建数据表字段分组 | `references/system_create_table_field_group.json` MUST READ |\n| [应用设计端] | `_table_save_filter_condition` | 设置数据表视图筛选条件 | `references/system_table_save_filter_condition.json` MUST READ |\n| [应用设计端] | `_table_save_datasource_dbview` | 保存数据库视图数据表SQL配置 | `references/system_table_save_datasource_dbview.json` MUST READ |\n| [应用设计端] | `_table_create_tool_bar_button` | 创建数据表工具栏按钮（支持调用脚本或自动化） | `references/system_table_create_tool_bar_button.json` MUST READ |\n| [应用设计端] | `_table_list_tool_bar_button` | 查询数据表工具栏按钮列表 | `references/system_table_list_tool_bar_button.json` MUST READ |\n| [应用设计端] | `_table_update_tool_bar_button` | 更新数据表工具栏按钮 | `references/system_table_update_tool_bar_button.json` MUST READ |\n| [应用设计端] | `_table_delete_tool_bar_button` | 删除数据表工具栏按钮 | `references/system_table_delete_tool_bar_button.json` MUST READ |\n| [应用设计端] | `_table_create_form_tool_bar_btn` | 创建数据表表单工具栏按钮（支持调用脚本或自动化） | `references/system_table_create_form_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_table_list_form_tool_bar_btn` | 查询数据表表单工具栏按钮列表 | `references/system_table_list_form_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_table_update_form_tool_bar_btn` | 更新数据表表单工具栏按钮 | `references/system_table_update_form_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_table_del_form_tool_bar_btn` | 删除数据表表单工具栏按钮 | `references/system_table_del_form_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_subtable_create_tool_bar_btn` | 创建子表工具栏按钮（仅关联列表/查找列表字段，支持新增一行、删除、调用脚本或自动化） | `references/system_subtable_create_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_subtable_list_tool_bar_btn` | 查询子表工具栏按钮列表 | `references/system_subtable_list_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_subtable_update_tool_bar_btn` | 更新子表工具栏按钮 | `references/system_subtable_update_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_subtable_delete_tool_bar_btn` | 删除子表工具栏按钮 | `references/system_subtable_delete_tool_bar_btn.json` MUST READ |\n| [应用设计端] | `_query_table_list_designer` | 查询应用设计端所有表（含未发布的，不返回表字段结构） | none |\n| [应用设计端] | `_query_table_define_designer` | 查询应用设计端数据表表字段结构 | `references/system_query_table_define_designer.json` MUST READ |\n| [应用设计端] | `_query_table_field_designer` | 查询数据表单个字段详细配置 | `references/system_query_table_field_designer.json` MUST READ |\n| [应用设计端] | `_edit_table_field` | 编辑字段（操作前必须先查询表结构获取真实ID） | `references/system_edit_table_field.json` MUST READ |\n| [应用设计端] | `_edit_table_module` | 修改数据表模块信息 | `references/system_edit_table_module.json` MUST READ |\n\n### 工作流-Bpmn(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_bpmn_create_module` | 创建工作流模块 | `references/system_bpmn_create_module.json` MUST READ |\n| [应用设计端] | `_bpmn_create_process_define` | 创建流程定义 | `references/system_bpmn_create_process_define.json` MUST READ |\n| [应用设计端] | `_bpmn_update_start_setting` | 更新流程启动配置 | `references/system_bpmn_update_start_setting.json` MUST READ |\n| [应用设计端] | `_bpmn_create_or_update_node` | 创建/更新流程节点 | `references/system_bpmn_create_or_update_node.json` MUST READ |\n| [应用设计端] | `_bpmn_create_or_update_flow` | 创建/更新流转线 | `references/system_bpmn_create_or_update_flow.json` MUST READ |\n| [应用设计端] | `_bpmn_delete_node` | 删除流程节点 | `references/system_bpmn_delete_node.json` MUST READ |\n| [应用设计端] | `_bpmn_delete_flow` | 删除流转线 | `references/system_bpmn_delete_flow.json` MUST READ |\n| [应用设计端] | `_bpmn_query_process_define` | 查询流程定义详情 | `references/system_bpmn_query_process_define.json` MUST READ |\n| [应用设计端] | `_bpmn_query_process_define_list` | 查询模块下流程定义列表 | `references/system_bpmn_query_process_define_list.json` MUST READ |\n\n### 自动化流程-Automatic(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_automatic_create_group` | 创建自动化分组（先查_query_app_define_designer避免重复） | `references/system_automatic_create_group.json` MUST READ |\n| [应用设计端] | `_automatic_delete_group` | 删除自动化分组 | `references/system_automatic_delete_group.json` MUST READ |\n| [应用设计端] | `_automatic_update_group` | 编辑自动化分组 | `references/system_automatic_update_group.json` MUST READ |\n| [应用设计端] | `_automatic_save_define` | 保存自动化配置（创建前必须先查表结构获取字段ID） | `references/system_automatic_save_define.json` MUST READ |\n| [应用设计端] | `_automatic_query_define` | 查询自动化配置 | `references/system_automatic_query_define.json` MUST READ |\n| [应用设计端] | `_automatic_run_once` | 立即执行自动化（高风险，先确认） | `references/system_automatic_run_once.json` MUST READ |\n| [应用设计端] | `_automatic_doc` | 读取自动化文档 | none |\n\n### 仪表盘-Dashboard(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_create_dashboard_module` | 创建仪表盘模块 | `references/system_create_dashboard_module.json` MUST READ |\n| [应用设计端] | `_query_dashboard_list_designer` | 查询所有仪表盘 | none |\n| [应用设计端] | `_query_dashboard_card_list` | 查询仪表盘卡片列表 | `references/system_query_dashboard_card_list.json` MUST READ |\n| [应用设计端] | `_query_dashboard_card_detail` | 查询卡片详情 | `references/system_query_dashboard_card_detail.json` MUST READ |\n| [应用设计端] | `_save_dashboard_number_card` | 创建/编辑数字卡片（先查表结构获取字段ID） | `references/system_save_dashboard_number_card.json` MUST READ |\n| [应用设计端] | `_save_dashboard_prochart_card` | 创建/编辑图表卡片（先查表结构获取字段ID） | `references/system_save_dashboard_prochart_card.json` MUST READ |\n\n### 脚本-Script(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_create_informat_script_directory` | 创建脚本目录 | `references/system_create_informat_script_directory.json` MUST READ |\n| [应用设计端] | `_save_informat_script` | 保存脚本（编辑时必须传已有ID） | `references/system_save_informat_script.json` MUST READ |\n| [应用设计端] | `_query_informat_script_list` | 查询脚本列表 | none |\n| [应用设计端] | `_query_informat_script_content` | 查询脚本内容 | `references/system_query_informat_script_content.json` MUST READ |\n| [应用设计端] | `_execute_informat_script_designer` | 在设计器中执行脚本 | `references/system_execute_informat_script_designer.json` MUST READ |\n| [应用设计端] | `_script_save_git_config` | 保存脚本Git仓库配置 | `references/system_script_save_git_config.json` MUST READ |\n| [应用设计端] | `_script_pull_from_git` | 从Git仓库拉取脚本到应用 | `references/system_script_pull_from_git.json` MUST READ |\n| [应用设计端] | `_script_push_to_git` | 推送应用脚本到Git仓库 | `references/system_script_push_to_git.json` MUST READ |\n\n### 定时任务-Schedule(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_schedule_create_define` | 创建定时任务 | `references/system_schedule_create_define.json` MUST READ |\n| [应用设计端] | `_schedule_update_define` | 更新定时任务 | `references/system_schedule_update_define.json` MUST READ |\n| [应用设计端] | `_schedule_delete_define` | 删除定时任务 | `references/system_schedule_delete_define.json` MUST READ |\n| [应用设计端] | `_schedule_query_define_designer` | 查询定时任务详情 | `references/system_schedule_query_define_designer.json` MUST READ |\n| [应用设计端] | `_schedule_query_define_list` | 查询定时任务列表 | none |\n| [应用设计端] | `_schedule_run_once` | 立即触发一次 | `references/system_schedule_run_once.json` MUST READ |\n| [应用设计端] | `_schedule_doc` | 查询定时任务文档 | none |\n\n### 国际化-I18n(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_i18n_query_define_designer` | 查询国际化配置 | none |\n| [应用设计端] | `_i18n_save_define_designer` | 保存翻译定义 | `references/system_i18n_save_define_designer.json` MUST READ |\n| [应用设计端] | `_i18n_save_locale_designer` | 保存语言列表 | `references/system_i18n_save_locale_designer.json` MUST READ |\n| [应用设计端] | `_i18n_set_app_name` | 设置应用国际化名称 | `references/system_i18n_set_app_name.json` MUST READ |\n| [应用设计端] | `_i18n_set_module_name` | 设置模块国际化名称 | `references/system_i18n_set_module_name.json` MUST READ |\n| [应用设计端] | `_i18n_set_table_field_name` | 设置字段国际化名称 | `references/system_i18n_set_table_field_name.json` MUST READ |\n| [应用设计端] | `_i18n_set_field_option_name` | 设置选项值国际化名称 | `references/system_i18n_set_field_option_name.json` MUST READ |\n\n### 网站资源-Website(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_website_create_module` | 创建网站模块（先查询避免重复） | `references/system_website_create_module.json` MUST READ |\n| [应用设计端] | `_website_create_directory` | 创建资源目录 | `references/system_website_create_directory.json` MUST READ |\n| [应用设计端] | `_website_save_resource` | 创建/编辑资源（编辑先查ID） | `references/system_website_save_resource.json` MUST READ |\n| [应用设计端] | `_website_delete_resource` | 删除资源 | `references/system_website_delete_resource.json` MUST READ |\n| [应用设计端] | `_website_query_define_designer` | 查询网站模块详情 | `references/system_website_query_define_designer.json` MUST READ |\n| [应用设计端] | `_website_query_list_designer` | 查询所有网站模块 | none |\n| [应用设计端] | `_website_query_resource` | 查询资源详情 | `references/system_website_query_resource.json` MUST READ |\n| [应用设计端] | `_website_preview` | 预览网站 | `references/system_website_preview.json` MUST READ |\n| [应用设计端] | `_website_read_informat_doc` | 读取网站设计器文档 | none |\n| [应用设计端] | `_codestudio_list_modules` | 列出当前应用已有的 AICodeStudio 模块（建模块前先查、能复用就复用） | `references/system_codestudio_list_modules.json` MUST READ |\n| [应用设计端] | `_codestudio_create_module` | 创建 AICodeStudio 模块（完整 Vue3 项目，返回 moduleId） | `references/system_codestudio_create_module.json` MUST READ |\n| [应用设计端] | `_codestudio_list_files` | 列出模块所有源文件 | `references/system_codestudio_list_files.json` MUST READ |\n| [应用设计端] | `_codestudio_read_file` | 读取单个源文件 | `references/system_codestudio_read_file.json` MUST READ |\n| [应用设计端] | `_codestudio_write_file` | 创建/覆盖单个源文件 | `references/system_codestudio_write_file.json` MUST READ |\n| [应用设计端] | `_codestudio_create_script` | 为模块建脚本（自动套 ai_{moduleId}_ 前缀 + 注释 + 分组） | `references/system_codestudio_create_script.json` MUST READ |\n| [应用设计端] | `_codestudio_create_api` | 为模块建 API（自动套 ai/{moduleId}/ 前缀 + 分组） | `references/system_codestudio_create_api.json` MUST READ |\n| [应用设计端] | `_codestudio_compile` | 编译并返回结构化构建报错（写完必调，据报错自愈） | `references/system_codestudio_compile.json` MUST READ |\n| [应用设计端] | `_codestudio_preview` | 获取预览地址 | `references/system_codestudio_preview.json` MUST READ |\n\n> **前端/网站选择指引：** 需要交互式、组件化、带路由/状态/图表的复杂前端 → **优先用 `_codestudio_*`（AICodeStudio，完整 Vue3 项目）**；仅纯静态展示页才用 `_website_*`。同一需求二选一，不要混用。\n> **★ 建模块前先查：** 调 `_codestudio_create_module` 之前**必须**先调 `_codestudio_list_modules` 看当前应用有没有现成、用途相符的 AICodeStudio 模块——有就复用它的 moduleId，**不要在同一应用里重复建模块**。\n> **★★ 用 codestudio 建应用前，必须先完整读一遍 `references/doc/markdown/informat.codestudio.md`**（全流程手册：建模块→查表→建脚本→建API→写Vue→编译→预览，含脚本签名/错误信封/callApi 解包/文件写入边界/npm 白名单等所有踩坑点）。不读直接调 `_codestudio_*` 几乎必翻车。\n> **★ codestudio 数据对接铁律：** codestudio 模块要读写平台表数据时，脚本/API **必须**用 `_codestudio_create_script` / `_codestudio_create_api`（后端自动套 `ai_{moduleId}_` / `ai/{moduleId}/` 前缀 + 收进分组），**禁止**用裸的 `_save_informat_script` / `_api_create_define`——否则资源不会归属到模块，用户在抽屉里看不到。Vue 里 `callApi(path)` 用 `_codestudio_create_api` 返回的完整 path。\n\n### AI助手(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_aiassistant_create` | 创建AI助手模块 | `references/system_aiassistant_create.json` MUST READ |\n| [应用设计端] | `_aiassistant_update` | 更新AI助手模块 | `references/system_aiassistant_update.json` MUST READ |\n| [应用设计端] | `_aiassistant_delete` | 删除AI助手模块 | `references/system_aiassistant_delete.json` MUST READ |\n| [应用设计端] | `_aiassistant_doc` | 查询AI助手文档 | none |\n\n### 监听器-AppListener(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_app_listener_create` | 创建新的监听器定义 | `references/system_app_listener_create.json` MUST READ |\n| [应用设计端] | `_app_listener_update` | 更新监听器定义，updateFieldList声明要修改的字段 | `references/system_app_listener_update.json` MUST READ |\n| [应用设计端] | `_app_listener_delete` | 删除监听器定义（如果是目录，会同时删除目录下的所有监听器） | `references/system_app_listener_delete.json` MUST READ |\n| [应用设计端] | `_app_listener_list` | 查询当前应用下的监听器定义列表（树形结构，包含目录和子监听器） | `references/system_app_listener_list.json` MUST READ |\n\n### 问卷调查-Survey(设计器)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [应用设计端] | `_survey_create_module` | 创建问卷模块 | `references/system_survey_create_module.json` MUST READ |\n| [应用设计端] | `_survey_create_item` | 创建问卷题目 | `references/system_survey_create_item.json` MUST READ |\n| [应用设计端] | `_survey_update_item` | 更新问卷题目 | `references/system_survey_update_item.json` MUST READ |\n| [应用设计端] | `_survey_delete_item` | 删除问卷题目 | `references/system_survey_delete_item.json` MUST READ |\n| [应用设计端] | `_survey_query_define_designer` | 查询问卷配置 | `references/system_survey_query_define_designer.json` MUST READ |\n\n### 应用-App(用户端)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [用户端] | `_query_app_define` | 查询已发布应用配置（模块列表、角色、API等） | none |\n| [用户端] | `_query_app_user` | 查询当前用户在此应用里的角色权限（管理员拥有所有权限不返回permissionList，非管理员返回moduleKey_权限名格式的权限列表） | none |\n| [用户端] | `_query_app_user_list` | 查询账号信息（ID、邮箱、上级、部门） | `references/system_query_app_user_list.json` MUST READ |\n| [用户端] | `_app_member_create` | 将已有团队成员添加到当前应用中 | `references/system_app_member_create.json` MUST READ |\n| [用户端] | `_app_member_update` | 更新应用成员的角色信息 | `references/system_app_member_update.json` MUST READ |\n| [用户端] | `_app_member_delete` | 从当前应用中移除成员（危险操作） | `references/system_app_member_delete.json` MUST READ |\n\n### 数据表-Table(用户端)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [用户端] | `_query_all_table_list` | 查询已发布的所有数据表（不返回表字段结构） | none |\n| [用户端] | `_query_table_define` | 查询已发布表的字段结构（用于记录操作） | `references/system_query_table_define.json` MUST READ |\n| [用户端] | `_query_table_record_list` | 按条件查询数据表记录 | `references/system_query_table_record_list.json` MUST READ |\n| [用户端] | `_query_table_record_list_count` | 统计符合条件的记录数量 | `references/system_query_table_record_list_count.json` MUST READ |\n| [用户端] | `_table_record_batch_insert` | 批量插入记录（先查表结构获取字段ID） | `references/system_table_record_batch_insert.json` MUST READ |\n| [用户端] | `_table_record_batch_update` | 批量更新记录 | `references/system_table_record_batch_update.json` MUST READ |\n| [用户端] | `_table_record_batch_delete` | 批量删除记录（危险操作） | `references/system_table_record_batch_delete.json` MUST READ |\n\n### 工作流-Bpmn(用户端)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [用户端] | `_bpmn_create_instance` | 创建启动工作流流程实例（先查流程定义） | `references/system_bpmn_create_instance.json` MUST READ |\n| [用户端] | `_bpmn_query_instance_list` | 查询当前用户发起的流程实例列表 | `references/system_bpmn_query_instance_list.json` MUST READ |\n| [用户端] | `_bpmn_query_instance_info` | 查询流程实例详情 | `references/system_bpmn_query_instance_info.json` MUST READ |\n| [用户端] | `_bpmn_query_task_list` | 查询分配给当前用户的工作流任务列表 | `references/system_bpmn_query_task_list.json` MUST READ |\n| [用户端] | `_bpmn_query_task_info` | 查询工作流任务详情 | `references/system_bpmn_query_task_info.json` MUST READ |\n| [用户端] | `_bpmn_complete_task` | 完成（审批通过）工作流任务 | `references/system_bpmn_complete_task.json` MUST READ |\n| [用户端] | `_bpmn_process_define_list` | 获取流程定义列表 | `references/system_bpmn_process_define_list.json` MUST READ |\n| [用户端] | `_bpmn_get_process_define` | 获取流程定义详情 | `references/system_bpmn_get_process_define.json` MUST READ |\n\n### 搜索引擎-Textindex(用户端)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [用户端] | `_query_all_textindex_list` | 查询搜索引擎模块列表 | none |\n| [用户端] | `_textindex_search` | 搜索引擎关键字搜索 | `references/system_textindex_search.json` MUST READ |\n\n### 知识库-Knowledgebase(用户端)\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [用户端] | `_knowledgebase_search` | 知识库关键字搜索 | `references/system_knowledgebase_search.json` MUST READ |\n\n\n## 公共智能体方法列表\n\n> 以下方法无需 `--appId`，直接调用即可。\n\n| 端 | 方法名 | 说明 | 参数文档 |\n|----|--------|------|----------|\n| [公共] | `_app_get_web_url` | 获取应用Web根地址 | none |\n| [公共] | `_app_doc` | 查询应用文档 | none |\n| [公共] | `_javascript_eval` | 执行JavaScript代码 | `references/system_javascript_eval.json` MUST READ |\n| [公共] | `_render_html` | 渲染HTML内容 | `references/system_render_html.json` MUST READ |\n| [公共] | `_web_content` | 获取网络URL内容 | `references/system_web_content.json` MUST READ |\n| [公共] | `_get_current_time` | 获取当前时间 | none |\n| [公共] | `_get_current_user` | 获取当前用户 | none |\n| [公共] | `_read_informat_expression_doc` | 织信表达式文档 | none |\n| [公共] | `_read_informat_script_sdk` | 织信脚本SDK文档 | none |\n| [公共] | `_read_informat_dashboard_document` | 织信仪表盘图表文档 | none |\n| [公共] | `_list_informat_markdown` | 列出所有可用的Markdown文档列表 | none |\n| [公共] | `_read_informat_markdown` | 读取指定Markdown文档内容（支持子目录如script/） | `references/system_read_informat_markdown.json` MUST READ |\n| [公共] | `_read_office_file` | 读取Office文档内容 | `references/system_read_office_file.json` MUST READ |\n| [公共] | `_send_notification` | 发送通知 | `references/system_send_notification.json` MUST READ |\n| [公共] | `_send_system_email` | 发送邮件 | `references/system_send_system_email.json` MUST READ |\n\n## 本地参考文档\n\n无需调用接口，直接查阅 `{baseDir}/references/doc/` 目录：\n\n**核心功能文档（`doc/markdown/` 目录）**：\n\n| 文档文件名 | 说明 |\n|-----------|------|\n| `informat.aiassistant.md` | AI助手开发文档 |\n| `informat.api.md` | 开放API文档 |\n| `informat.app.md` | 应用文档 |\n| `informat.app.themestyle.md` | 应用主题样式文档 |\n| `informat.automatic.md` | 自动化流程文档 |\n| `informat.company.md` | 团队介绍文档（团队成员、团队角色、组织架构） |\n| `informat.dashboard.md` | 仪表盘开发文档 |\n| `informat.expression.md` | 表达式语法文档 |\n| `informat.schedule.md` | 定时任务文档 |\n| `informat.script.md` | 脚本开发总览 |\n| `informat.table.md` | 数据表设计文档 |\n| `informat.task.md` | 任务中心文档 |\n| `informat.website.md` | 网站设计器文档 |\n| `informat.codestudio.md` | AI Code Studio 全流程开发文档（用 `_codestudio_*` 建完整 Vue 应用：建模块→脚本→API→Vue→编译→预览） |\n\n**脚本API文档（`doc/markdown/script/` 目录）**：按模块分类（bpmn.md、table.md、form.md等），包含方法说明、参数定义、示例代码。\n\n## 常见问题\n\n**Q: 应用模块标识符已存在？** 该模块ID已被使用，需要换一个。\n\n**Q: 如何获取应用的模块列表？** 使用`_query_app_define_designer`。\n\n**Q: 应用的访问地址？** `{host}/app/{appId}`\n\n\nARGUMENTS: I need to publish a completed article to the 文章管理 (Article Management) data table within the 官网管理 (Official Website Management) app on the 织信(Informat) platform. Please help me query the table's field structure first, then I will provide the article data."}]},"isMeta":true,"uuid":"1ec65e9f-4128-432b-96d0-e262c3091915","timestamp":"2026-06-01T07:27:13.061Z","sourceToolUseID":"call_00_RvBw7stMuIOrrPQpC8zP0273","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"1ec65e9f-4128-432b-96d0-e262c3091915","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"47d136f1-be5f-4fb4-9834-b3b764610824","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"I need to publish the article to the Informat platform. Let me follow the skill instructions step by step:\n\n1. First, query the app list to find the 官网管理 app\n2. Then query the table structure of the 文章管理 data table\n3. Then insert a record with the article data\n\nLet me start by querying the app list.","signature":"47d136f1-be5f-4fb4-9834-b3b764610824"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10486,"cache_creation_input_tokens":0,"cache_read_input_tokens":50304,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"ce2c1dcc-9465-4b6f-a5c4-59244dd4eb5d","timestamp":"2026-06-01T07:27:14.728Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"ce2c1dcc-9465-4b6f-a5c4-59244dd4eb5d","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"47d136f1-be5f-4fb4-9834-b3b764610824","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_gdP4inCcgDM553oHxcEK9196","name":"Bash","input":{"command":"node /Users/ginko.wang/.claude/skills/informat/scripts/call_informat.js _company_app_list","description":"Query app list to find 官网管理 app"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":10486,"cache_creation_input_tokens":0,"cache_read_input_tokens":50304,"output_tokens":167,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"5b1380c4-bc6d-4ff5-9384-b0db217f62b2","timestamp":"2026-06-01T07:27:14.973Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"5b1380c4-bc6d-4ff5-9384-b0db217f62b2","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_gdP4inCcgDM553oHxcEK9196","type":"tool_result","content":"{\n \"applicationGroupList\": [\n {\n \"id\": \"wkjqu8gp76n2i\",\n \"name\": \"Default\",\n \"rowNumber\": 1\n },\n {\n \"id\": \"rdmsb3s1ame1q\",\n \"name\": \"test\",\n \"rowNumber\": 2\n },\n {\n \"id\": \"vait03qno2w3g\",\n \"name\": \"seo\",\n \"rowNumber\": 3\n }\n ],\n \"applicationList\": [\n {\n \"appDefineId\": \"com.demo.accounting\",\n \"color\": \"#1890ff\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"task\",\n \"id\": \"h5rkxic0feonm\",\n \"name\": \"Accounting System\",\n \"rowNumber\": 8\n },\n {\n \"appDefineId\": \"com.demo.cms\",\n \"color\": \"#52c41a\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"file-add\",\n \"id\": \"of4d79xgwn9rh\",\n \"name\": \"Content Management System\",\n \"rowNumber\": 9\n },\n {\n \"appDefineId\": \"com.ainformat.hr\",\n \"color\": \"#1890ff\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"home-2\",\n \"id\": \"i730pf5lrbp5j\",\n \"name\": \"Human Resources\",\n \"rowNumber\": 10\n },\n {\n \"appDefineId\": \"com.demo.helpdesk\",\n \"color\": \"#f5222d\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"flask\",\n \"id\": \"yolz7wj7szywv\",\n \"name\": \"Help Desk & Ticketing System\",\n \"rowNumber\": 11\n },\n {\n \"appDefineId\": \"com.demo.knowledgebase\",\n \"color\": \"#2f54eb\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"links\",\n \"id\": \"xcuaus6d6dqq6\",\n \"name\": \"Knowledge Base System\",\n \"rowNumber\": 13\n },\n {\n \"appDefineId\": \"com.demo.meetingroom\",\n \"color\": \"#eb2f96\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"home-2\",\n \"id\": \"eawbm86wi7y8o\",\n \"name\": \"Meeting Room Booking System\",\n \"rowNumber\": 14\n },\n {\n \"appDefineId\": \"com.demo.projectmgmt\",\n \"color\": \"#1890ff\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"task\",\n \"id\": \"uwsfckbw4hmz3\",\n \"name\": \"Project Management System (Demo)\",\n \"rowNumber\": 15\n },\n {\n \"appDefineId\": \"com.demo.task_0414_4_en\",\n \"color\": \"#13c2c2\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"task\",\n \"id\": \"u6839s08arxj9\",\n \"name\": \"Task Management\",\n \"rowNumber\": 18\n },\n {\n \"appDefineId\": \"com.demo.ecommerce\",\n \"color\": \"#fa8c16\",\n \"groupId\": \"wkjqu8gp76n2i\",\n \"icon\": \"home\",\n \"id\": \"enbrfgw4py9j9\",\n \"name\": \"E-Commerce Platform\",\n \"rowNumber\": 19\n },\n {\n \"appDefineId\": \"com.demo.crm_0414_1_en\",\n \"color\": \"#1890ff\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"global\",\n \"id\": \"vns9s99liqjo9\",\n \"name\": \"CRM System\",\n \"rowNumber\": 25\n },\n {\n \"appDefineId\": \"com.demo.jxc_0414_2_en\",\n \"color\": \"#fa541c\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"git-branch\",\n \"id\": \"ks7k90h0bfp2b\",\n \"name\": \"Inventory Management\",\n \"rowNumber\": 26\n },\n {\n \"appDefineId\": \"com.demo.xpmgmt_0414_5_en\",\n \"color\": \"#2f54eb\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"task\",\n \"id\": \"dapul0xstpnuc\",\n \"name\": \"Project Management Pro\",\n \"rowNumber\": 27\n },\n {\n \"appDefineId\": \"com.demo.crm_mfg_0414_6_en\",\n \"color\": \"c3\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"global\",\n \"id\": \"vd190merc1xiy\",\n \"name\": \"CRM Manufacturing Tech\",\n \"rowNumber\": 28\n },\n {\n \"appDefineId\": \"com.demo.task_0414b_8_en\",\n \"color\": \"#52c41a\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"task\",\n \"id\": \"xg3qb7ig2mq9q\",\n \"name\": \"Task Management Pro B\",\n \"rowNumber\": 29\n },\n {\n \"appDefineId\": \"com.demo.crm_full_0414_9_en\",\n \"color\": \"c5\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"global\",\n \"id\": \"o2y714v2mxwyi\",\n \"name\": \"CRM Customer Relations\",\n \"rowNumber\": 32\n },\n {\n \"appDefineId\": \"com.demo.task_0414b_4_en\",\n \"color\": \"#13c2c2\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"task\",\n \"id\": \"tup984vbaak40\",\n \"name\": \"Task Managemen\",\n \"rowNumber\": 36\n },\n {\n \"appDefineId\": \"com.demo.crm_mfg_0414b_6_en\",\n \"color\": \"#eb2f96\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"global\",\n \"id\": \"cr2ivjfka4s4o\",\n \"name\": \"CRM Manufacturing Tech B\",\n \"rowNumber\": 38\n },\n {\n \"appDefineId\": \"com.demo.jxc_0414b_7_en\",\n \"color\": \"#fa8c16\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"git-branch\",\n \"id\": \"s8h1lt1hfr0fa\",\n \"name\": \"Inventory Management Pro B\",\n \"rowNumber\": 39\n },\n {\n \"appDefineId\": \"com.demo.crm_full_0414b_9_en\",\n \"color\": \"#f5222d\",\n \"groupId\": \"rdmsb3s1ame1q\",\n \"icon\": \"global\",\n \"id\": \"idotsgdu6n2qf\",\n \"name\": \"CRM Full Suite B\",\n \"rowNumber\": 40\n },\n {\n \"appDefineId\": \"cn.informat.ows\",\n \"color\": \"c1\",\n \"groupId\": \"vait03qno2w3g\",\n \"icon\": \"chrome\",\n \"id\": \"lz943002ds9p0\",\n \"name\": \"官网管理\",\n \"rowNumber\": 65\n }\n ],\n \"taskNum\": 0\n}","is_error":false}]},"uuid":"7391dd18-0019-4654-9c62-678bf954ed3b","timestamp":"2026-06-01T07:27:15.558Z","sourceToolAssistantUUID":"5b1380c4-bc6d-4ff5-9384-b0db217f62b2","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"7391dd18-0019-4654-9c62-678bf954ed3b","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"9ffef065-6418-4b04-aeda-24f278dc8f42","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"I found the 官网管理 app with:\n- appDefineId: \"cn.informat.ows\"\n- id: \"lz943002ds9p0\"\n\nNow I need to query the table list designer for this app to find the 文章管理 (Article Management) data table.","signature":"9ffef065-6418-4b04-aeda-24f278dc8f42"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1855,"cache_creation_input_tokens":0,"cache_read_input_tokens":60928,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"f8d26d69-3dd1-4482-a94e-691db14b21da","timestamp":"2026-06-01T07:27:17.181Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"f8d26d69-3dd1-4482-a94e-691db14b21da","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"9ffef065-6418-4b04-aeda-24f278dc8f42","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_G5NXSVjzrqY1H4RtNdFV4908","name":"Bash","input":{"command":"node /Users/ginko.wang/.claude/skills/informat/scripts/call_informat.js _query_table_list_designer --appId lz943002ds9p0","description":"Query table list in 官网管理 app"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1855,"cache_creation_input_tokens":0,"cache_read_input_tokens":60928,"output_tokens":166,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"c51cacc5-52c0-49e4-a6f8-ebac3196e3f3","timestamp":"2026-06-01T07:27:17.601Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"c51cacc5-52c0-49e4-a6f8-ebac3196e3f3","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_G5NXSVjzrqY1H4RtNdFV4908","type":"tool_result","content":"[\n {\n \"id\": \"tdk\",\n \"name\": \"官网TDK设置\"\n },\n {\n \"id\": \"friend_link\",\n \"name\": \"友情链接\"\n },\n {\n \"id\": \"promotion_jump_link\",\n \"name\": \"跳转链接管理\"\n },\n {\n \"id\": \"customer_case\",\n \"name\": \"客户案例\"\n },\n {\n \"id\": \"article_data\",\n \"name\": \"文章数据\"\n },\n {\n \"id\": \"promotion_link\",\n \"name\": \"推广链接管理\"\n },\n {\n \"id\": \"promotion_link_visit\",\n \"name\": \"推广链接点击记录\"\n },\n {\n \"id\": \"site_config\",\n \"name\": \"站点配置\"\n },\n {\n \"id\": \"video\",\n \"name\": \"视频管理\"\n },\n {\n \"id\": \"video_category\",\n \"name\": \"视频分类\"\n },\n {\n \"id\": \"articleMapping\",\n \"name\": \"文章自动映射\"\n },\n {\n \"id\": \"article_category\",\n \"name\": \"文章分类\"\n },\n {\n \"id\": \"article_category_descs\",\n \"name\": \"文章分类介绍\"\n },\n {\n \"id\": \"trackKeywordDetail\",\n \"name\": \"关键词追踪明细\"\n },\n {\n \"id\": \"trackKeyword\",\n \"name\": \"关键词\"\n },\n {\n \"id\": \"article\",\n \"name\": \"文章管理\"\n }\n]","is_error":false}]},"uuid":"1b856d4c-2361-4b6d-8fdf-cf0b1e2ce398","timestamp":"2026-06-01T07:27:20.577Z","sourceToolAssistantUUID":"c51cacc5-52c0-49e4-a6f8-ebac3196e3f3","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
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{"parentUuid":"2f8535b9-4cbc-465a-a642-fb8d45fe31d9","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_xcXskj6vtpTjIbp3Nnu69760","type":"tool_result","content":"{\n \"fieldGroupList\": [],\n \"fieldList\": [\n {\n \"id\": \"id\",\n \"name\": \"id\",\n \"type\": \"UUID\"\n },\n {\n \"id\": \"content\",\n \"name\": \"正文\",\n \"type\": \"RichText\"\n },\n {\n \"id\": \"description\",\n \"name\": \"简介\",\n \"type\": \"MultiText\"\n },\n {\n \"id\": \"author\",\n \"name\": \"作者\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"metaTitle\",\n \"name\": \"Title\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"name\",\n \"name\": \"标题\",\n \"singleTextSetting\": {\n \"nullable\": false\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"metaKeywords\",\n \"name\": \"Keywords\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"metaDescription\",\n \"name\": \"Description\",\n \"type\": \"MultiText\"\n },\n {\n \"attachmentSetting\": {\n \"multiple\": false,\n \"nullable\": true\n },\n \"id\": \"cover\",\n \"name\": \"封面\",\n \"type\": \"Attachment\"\n },\n {\n \"dateSetting\": {\n \"nullable\": true\n },\n \"id\": \"publishTime\",\n \"name\": \"发布时间\",\n \"type\": \"Date\"\n },\n {\n \"id\": \"parentCategory\",\n \"name\": \"资讯大类\",\n \"relationRecordFieldSetting\": {\n \"fieldId\": \"article\",\n \"targetFieldId\": \"category\",\n \"targetTableId\": \"article_category\"\n },\n \"type\": \"RelationRecordField\"\n },\n {\n \"id\": \"category\",\n \"name\": \"资讯分类\",\n \"relationRecordSetting\": {\n \"nameFieldId\": \"name\",\n \"nullable\": false,\n \"tableId\": \"article_category\"\n },\n \"type\": \"RelationRecord\"\n },\n {\n \"id\": \"linkArticle\",\n \"name\": \"关联内容\",\n \"relationSetting\": {\n \"tableId\": \"article\"\n },\n \"type\": \"Relation\"\n },\n {\n \"id\": \"promotionPos\",\n \"listSelectSetting\": {\n \"multiple\": true,\n \"nullable\": true,\n \"optionList\": []\n },\n \"name\": \"推广位\",\n \"type\": \"ListSelect\"\n },\n {\n \"id\": \"weight\",\n \"integerSetting\": {\n \"enableRange\": false,\n \"max\": 0,\n \"min\": 0,\n \"nullable\": false\n },\n \"name\": \"权重\",\n \"type\": \"Integer\"\n },\n {\n \"id\": \"seqNo\",\n \"name\": \"文章编号\",\n \"type\": \"ID\"\n },\n {\n \"group\": \"\",\n \"id\": \"randomSort\",\n \"name\": \"randomSort\",\n \"type\": \"Formula\"\n },\n {\n \"id\": \"categoryPath\",\n \"name\": \"分类路径\",\n \"relationRecordFieldSetting\": {\n \"fieldId\": \"article\",\n \"targetFieldId\": \"path\",\n \"targetTableId\": \"article_category\"\n },\n \"type\": \"RelationRecordField\"\n },\n {\n \"group\": \"\",\n \"id\": \"aiGen\",\n \"listSelectSetting\": {\n \"multiple\": false,\n \"nullable\": true,\n \"optionList\": [\n {\n \"checked\": false,\n \"color\": \"c1\",\n \"disabled\": false,\n \"id\": \"none\",\n \"name\": \"不需要\"\n },\n {\n \"checked\": false,\n \"color\": \"c2\",\n \"disabled\": false,\n \"id\": \"need\",\n \"name\": \"需要生成\"\n },\n {\n \"checked\": false,\n \"color\": \"c3\",\n \"disabled\": false,\n \"id\": \"generated\",\n \"name\": \"已生成\"\n }\n ]\n },\n \"name\": \"AI生成\",\n \"type\": \"ListSelect\"\n },\n {\n \"group\": \"\",\n \"id\": \"seqNoNum\",\n \"integerSetting\": {\n \"enableRange\": false,\n \"max\": 0,\n \"min\": 0,\n \"nullable\": true\n },\n \"name\": \"文章编号-数字\",\n \"type\": \"Integer\"\n },\n {\n \"group\": \"\",\n \"id\": \"articleBrandExtract\",\n \"name\": \"品牌或企业\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"viewCount\",\n \"integerSetting\": {\n \"enableRange\": false,\n \"max\": 0,\n \"min\": 0,\n \"nullable\": true\n },\n \"name\": \"浏览\",\n \"type\": \"Integer\"\n },\n {\n \"group\": \"\",\n \"id\": \"syncTrackKeywordState\",\n \"listSelectSetting\": {\n \"multiple\": false,\n \"nullable\": false,\n \"optionList\": [\n {\n \"checked\": true,\n \"color\": \"c1\",\n \"disabled\": false,\n \"id\": \"Unsynchronized\",\n \"name\": \"未同步\"\n },\n {\n \"checked\": false,\n \"color\": \"c2\",\n \"disabled\": false,\n \"id\": \"Synchronized\",\n \"name\": \"已同步\"\n },\n {\n \"checked\": false,\n \"color\": \"c3\",\n \"disabled\": false,\n \"id\": \"Failed\",\n \"name\": \"同步失败\"\n }\n ]\n },\n \"name\": \"推广关键词同步状态\",\n \"type\": \"ListSelect\"\n },\n {\n \"id\": \"state\",\n \"listSelectSetting\": {\n \"multiple\": false,\n \"nullable\": false,\n \"optionList\": [\n {\n \"checked\": false,\n \"color\": \"c1\",\n \"disabled\": false,\n \"id\": \"draft\",\n \"name\": \"Draft\"\n },\n {\n \"checked\": true,\n \"color\": \"c2\",\n \"disabled\": false,\n \"id\": \"published\",\n \"name\": \"Published\"\n },\n {\n \"checked\": false,\n \"color\": \"c4\",\n \"disabled\": false,\n \"id\": \"hidden\",\n \"name\": \"Hdden\"\n }\n ]\n },\n \"name\": \"状态\",\n \"type\": \"ListSelect\"\n }\n ],\n \"filterCondition\": {\n \"filterConditionList\": [\n {\n \"id\": \"name\",\n \"name\": \"标题\"\n },\n {\n \"id\": \"publishTime\",\n \"name\": \"发布时间\"\n },\n {\n \"id\": \"author\",\n \"name\": \"作者\"\n },\n {\n \"id\": \"category\",\n \"name\": \"资讯分类\"\n },\n {\n \"id\": \"parentCategory\",\n \"name\": \"资讯大类\"\n },\n {\n \"id\": \"seqNo\",\n \"name\": \"文章编号\"\n },\n {\n \"id\": \"viewCount\",\n \"name\": \"浏览\"\n },\n {\n \"id\": \"state\",\n \"name\": \"状态\"\n },\n {\n \"id\": \"cover\",\n \"name\": \"封面\"\n },\n {\n \"id\": \"linkArticle\",\n \"name\": \"关联内容\"\n },\n {\n \"id\": \"description\",\n \"name\": \"简介\"\n },\n {\n \"id\": \"metaTitle\",\n \"name\": \"Title\"\n },\n {\n \"id\": \"metaKeywords\",\n \"name\": \"Keywords\"\n },\n {\n \"id\": \"metaDescription\",\n \"name\": \"Description\"\n },\n {\n \"id\": \"content\",\n \"name\": \"正文\"\n },\n {\n \"id\": \"aiGen\",\n \"name\": \"AI生成\"\n },\n {\n \"id\": \"articleBrandExtract\",\n \"name\": \"品牌或企业\"\n },\n {\n \"id\": \"syncTrackKeywordState\",\n \"name\": \"推广关键词同步状态\"\n }\n ],\n \"filterViewType\": \"top\"\n },\n \"id\": \"article\",\n \"name\": \"文章管理\",\n \"type\": \"Table\"\n}","is_error":false}]},"uuid":"41d1979e-bf62-4c24-bda3-110685257b7c","timestamp":"2026-06-01T07:27:30.686Z","sourceToolAssistantUUID":"2f8535b9-4cbc-465a-a642-fb8d45fe31d9","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"41d1979e-bf62-4c24-bda3-110685257b7c","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"ceaca074-bd37-4646-ba98-5034aaf47620","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"Now I have the full field structure of the \"文章管理\" (article) table. Let me also check the article_category table to find the appropriate category ID for \"Business Process Management\".\n\nLet me look at the article_category table to find the right category.\n\nKey fields for the article record:\n- `name` (标题) - required: \"Supply Chain BPM: Optimizing End-to-End Logistics Processes in 2026\"\n- `content` (正文) - RichText: the HTML article content\n- `author` (作者) - optional: \"Informat AI\"\n- `metaTitle` (Title) - optional: H1 text\n- `metaKeywords` (Keywords) - optional: keywords\n- `metaDescription` (Description) - multi text: meta description for SEO\n- `description` (简介) - multi text: brief intro\n- `category` (资讯分类) - RelationRecord to article_category: need to find the right category ID\n- `parentCategory` (资讯大类) - RelationRecordField: auto-filled from category\n- `state` (状态) - \"published\"\n- `viewCount` (浏览) - random number between 500 and 50,000\n- `publishTime` (发布时间) - current time\n- `aiGen` - \"不需要\" (none)\n\nLet me first check what categories exist.","signature":"ceaca074-bd37-4646-ba98-5034aaf47620"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2005,"cache_creation_input_tokens":0,"cache_read_input_tokens":63360,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"524f61d0-eb0d-4074-ada4-d030b7b43acd","timestamp":"2026-06-01T07:27:33.474Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"524f61d0-eb0d-4074-ada4-d030b7b43acd","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"ceaca074-bd37-4646-ba98-5034aaf47620","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_WJ2iasbSQn9pCdFrAwTk8142","name":"Bash","input":{"command":"node /Users/ginko.wang/.claude/skills/informat/scripts/call_informat.js _query_table_define_designer --appId lz943002ds9p0 --file <(echo '{\"tableId\":\"article_category\"}')","description":"Query article_category table structure"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":2005,"cache_creation_input_tokens":0,"cache_read_input_tokens":63360,"output_tokens":402,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"d1e45f21-3e6f-4513-bba6-5c1cbcc55a5d","timestamp":"2026-06-01T07:27:34.018Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"d1e45f21-3e6f-4513-bba6-5c1cbcc55a5d","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_WJ2iasbSQn9pCdFrAwTk8142","type":"tool_result","content":"{\n \"fieldGroupList\": [],\n \"fieldList\": [\n {\n \"id\": \"id\",\n \"name\": \"id\",\n \"type\": \"UUID\"\n },\n {\n \"id\": \"name\",\n \"name\": \"名称\",\n \"singleTextSetting\": {\n \"nullable\": false\n },\n \"type\": \"SingleText\"\n },\n {\n \"attachmentSetting\": {\n \"multiple\": false,\n \"nullable\": true\n },\n \"id\": \"iconActive\",\n \"name\": \"图标-选择状态\",\n \"type\": \"Attachment\"\n },\n {\n \"attachmentSetting\": {\n \"multiple\": false,\n \"nullable\": true\n },\n \"id\": \"icon\",\n \"name\": \"图标\",\n \"type\": \"Attachment\"\n },\n {\n \"id\": \"show\",\n \"name\": \"是否显示\",\n \"type\": \"Checkbox\"\n },\n {\n \"id\": \"alias\",\n \"name\": \"ID别名\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"group\": \"\",\n \"id\": \"path\",\n \"name\": \"分类路径\",\n \"type\": \"Formula\"\n },\n {\n \"id\": \"category\",\n \"listSelectSetting\": {\n \"multiple\": false,\n \"nullable\": true,\n \"optionList\": []\n },\n \"name\": \"大类\",\n \"type\": \"ListSelect\"\n },\n {\n \"attachmentSetting\": {\n \"multiple\": true,\n \"nullable\": true\n },\n \"group\": \"\",\n \"id\": \"coverList\",\n \"name\": \"文章封面图\",\n \"type\": \"Attachment\"\n },\n {\n \"group\": \"\",\n \"id\": \"categoryDescLookup\",\n \"lookupListSetting\": {\n \"filter\": {\n \"children\": [],\n \"conditionList\": [\n {\n \"fieldId\": \"categoryRel\",\n \"formula\": false,\n \"ignoreNull\": false,\n \"opt\": \"eq\",\n \"value\": \"${record.id}\",\n \"var\": true\n }\n ],\n \"opt\": \"and\"\n },\n \"tableId\": \"article_category_descs\"\n },\n \"name\": \"分类介绍\",\n \"type\": \"LookupList\"\n }\n ],\n \"filterCondition\": {\n \"filterConditionList\": [],\n \"filterViewType\": \"none\"\n },\n \"id\": \"article_category\",\n \"name\": \"文章分类\",\n \"type\": \"Table\"\n}","is_error":false}]},"uuid":"ea8b9c59-a726-4260-99c9-9a9d46f8e9c1","timestamp":"2026-06-01T07:27:37.526Z","sourceToolAssistantUUID":"d1e45f21-3e6f-4513-bba6-5c1cbcc55a5d","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"ea8b9c59-a726-4260-99c9-9a9d46f8e9c1","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"222e14bb-cdda-46fb-84fd-ea44d5679b1b","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"Let me query the article_category records to find the \"Business Process Management\" category.","signature":"222e14bb-cdda-46fb-84fd-ea44d5679b1b"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":678,"cache_creation_input_tokens":0,"cache_read_input_tokens":65664,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"fe3c63f8-9791-44f4-a2b1-4518eb4410dd","timestamp":"2026-06-01T07:27:38.767Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"fe3c63f8-9791-44f4-a2b1-4518eb4410dd","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"222e14bb-cdda-46fb-84fd-ea44d5679b1b","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_5H2hWVfoLkCfew5FTPZD2174","name":"Bash","input":{"command":"node /Users/ginko.wang/.claude/skills/informat/scripts/call_informat.js _query_table_record_list --appId lz943002ds9p0 --file <(echo '{\"tableId\":\"article_category\",\"pageSize\":50}')","description":"Query article_category records"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":678,"cache_creation_input_tokens":0,"cache_read_input_tokens":65664,"output_tokens":137,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"c7da216f-f398-4055-91cb-4ff7790b6924","timestamp":"2026-06-01T07:27:39.277Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"c7da216f-f398-4055-91cb-4ff7790b6924","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_5H2hWVfoLkCfew5FTPZD2174","type":"tool_result","content":"[\n {\n \"path\": \"low-code-development\",\n \"name\": \"Low Code Development\",\n \"show\": true,\n \"alias\": \"low-code-development\",\n \"id\": \"yw6u7fg11k5y2\",\n \"category\": \"news\",\n \"seq\": 1\n },\n {\n \"path\": \"no-code-platforms\",\n \"name\": \"No Code Platforms\",\n \"show\": true,\n \"alias\": \"no-code-platforms\",\n \"id\": \"w6tg2y2p44ui3\",\n \"category\": \"news\",\n \"seq\": 2\n },\n {\n \"path\": \"digital-transformation\",\n \"name\": \"Digital Transformation\",\n \"show\": true,\n \"alias\": \"digital-transformation\",\n \"id\": \"z5x82psftz9qx\",\n \"category\": \"news\",\n \"seq\": 3\n },\n {\n \"path\": \"enterprise-software\",\n \"name\": \"Enterprise Software Solutions\",\n \"show\": true,\n \"alias\": \"enterprise-software\",\n \"id\": \"ts4ac3ag3e24x\",\n \"category\": \"news\",\n \"seq\": 4\n },\n {\n \"path\": \"workflow-automation\",\n \"name\": \"Workflow Automation\",\n \"show\": true,\n \"alias\": \"workflow-automation\",\n \"id\": \"las9s0lt57ps9\",\n \"category\": \"news\",\n \"seq\": 5\n },\n {\n \"path\": \"crm-systems\",\n \"name\": \"CRM Systems\",\n \"show\": true,\n \"alias\": \"crm-systems\",\n \"id\": \"f9aenv1qo2ah2\",\n \"category\": \"news\",\n \"seq\": 6\n },\n {\n \"path\": \"project-management\",\n \"name\": \"Project Management\",\n \"show\": true,\n \"alias\": \"project-management\",\n \"id\": \"m46bwngrjlifk\",\n \"category\": \"news\",\n \"seq\": 7\n },\n {\n \"path\": \"business-process-management\",\n \"name\": \"Business Process Management\",\n \"show\": true,\n \"alias\": \"business-process-management\",\n \"id\": \"nnucgjej93s4f\",\n \"category\": \"news\",\n \"seq\": 8\n },\n {\n \"path\": \"it-devops\",\n \"name\": \"IT & DevOps\",\n \"show\": true,\n \"alias\": \"it-devops\",\n \"id\": \"evqt7z096gat1\",\n \"category\": \"news\",\n \"seq\": 9\n },\n {\n \"path\": \"industry-solutions\",\n \"name\": \"Industry Solutions\",\n \"show\": true,\n \"alias\": \"industry-solutions\",\n \"id\": \"ksopy4hzium3c\",\n \"category\": \"solution\",\n \"seq\": 10\n },\n {\n \"path\": \"customer-cases\",\n \"name\": \"Customer Cases\",\n \"show\": true,\n \"alias\": \"customer-cases\",\n \"id\": \"qi7l3uorg6ga0\",\n \"category\": \"cases\",\n \"seq\": 11\n },\n {\n \"path\": \"faq\",\n \"name\": \"FAQ\",\n \"show\": true,\n \"alias\": \"faq\",\n \"id\": \"dkky2xczq8xy4\",\n \"category\": \"qa\",\n \"seq\": 12\n }\n]","is_error":false}]},"uuid":"dca72fdf-3fc9-4b64-99a4-6bb55bf3973c","timestamp":"2026-06-01T07:27:42.177Z","sourceToolAssistantUUID":"c7da216f-f398-4055-91cb-4ff7790b6924","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"dca72fdf-3fc9-4b64-99a4-6bb55bf3973c","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"2659533d-1169-4537-b7b5-afe052ba2df3","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"I found \"Business Process Management\" with id \"nnucgjej93s4f\" and alias \"business-process-management\". That's the category for this article.\n\nNow I also need to read the batch insert parameter document to understand how to construct the insert payload.\n\nLet me also generate a random viewCount between 500 and 50000. Let me use a cryptographically random integer as specified in the CLAUDE.md.\n\nNow let me read the parameter document for batch insert.","signature":"2659533d-1169-4537-b7b5-afe052ba2df3"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":850,"cache_creation_input_tokens":0,"cache_read_input_tokens":66432,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"67d9baf6-7abe-4997-a9db-8fdf17e3c52e","timestamp":"2026-06-01T07:27:43.940Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"67d9baf6-7abe-4997-a9db-8fdf17e3c52e","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"2659533d-1169-4537-b7b5-afe052ba2df3","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_8VpMt3zSq4Jb0KirwR0G7535","name":"Bash","input":{"command":"cat /Users/ginko.wang/.claude/skills/informat/references/system_table_record_batch_insert.json","description":"Read batch insert parameter doc"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":850,"cache_creation_input_tokens":0,"cache_read_input_tokens":66432,"output_tokens":186,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"9712a04f-e32e-4bb0-a738-bd11b9b5f156","timestamp":"2026-06-01T07:27:44.255Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"9712a04f-e32e-4bb0-a738-bd11b9b5f156","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_8VpMt3zSq4Jb0KirwR0G7535","type":"tool_result","content":"{\n\t\"type\": \"function\",\n\t\"function\": {\n\t\t\"name\": \"_table_record_batch_insert\",\n\t\t\"description\": \"批量插入指定数据表记录。\\n\\n【重要提示】\\n指定数据表需要发布后才能批量插入记录。未发布的数据表调用本函数将会失败。\\n\\n【调用前置要求 - 必须严格遵守】\\n在调用本函数之前，你必须完成以下步骤：\\n1. 已通过 _query_all_table_list 获取目标表的 tableId（禁止自行捏造）\\n2. 已通过 _query_table_define 获取该表的完整字段列表（fieldList），明确每个字段的 id、name、type 及约束\\n3. 根据提示词要求和字段定义，在本次调用中构造完整的 recordList，每条记录必须包含所有 nullable=false 的必填字段\\n4. 禁止在 recordList 为空或未构造的情况下调用本函数\\n5. 禁止新增与提示词无关的表数据\\n\\n【字段值填写规则】\\n- SingleText / Number / Email / Phone 等基础类型：直接填写对应类型的值\\n- User 类型：填写用户标识字符串\\n- Select（单选）：填写选项字符串值\\n- Select（多选）：填写字符串数组，如 [\\\"选项A\\\", \\\"选项B\\\"]\\n- Cascader（单选）：填写层级路径数组，如 [\\\"广东省\\\", \\\"深圳市\\\", \\\"南山区\\\"]\\n- Cascader（多选）：填写二维数组，如 [[\\\"广东省\\\", \\\"深圳市\\\"], [\\\"浙江省\\\", \\\"杭州市\\\"]]\\n- Date / DateTime：填写 ISO 8601 格式字符串，如 \\\"2024-01-01\\\" 或 \\\"2024-01-01T08:00:00\\\"\\n- Boolean：填写 true 或 false\\n- UUID / Seq 类型：系统自动生成，recordList 中无需传入\\n\\n【返回值】\\n成功插入的记录数量（整数）。若返回 0 说明未插入任何数据，需检查 recordList 是否正确构造。\",\n\t\t\"parameters\": {\n\t\t\t\"type\": \"object\",\n\t\t\t\"properties\": {\n\t\t\t\t\"tableId\": {\n\t\t\t\t\t\"description\": \"数据表ID，必须来自 _query_all_table_list 返回的 id 字段，禁止自行捏造。\",\n\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t},\n\t\t\t\t\"recordList\": {\n\t\t\t\t\t\"description\": \"待插入的记录列表，调用前必须根据 _query_table_define 返回的字段定义构造好完整内容。禁止传入空数组。\",\n\t\t\t\t\t\"type\": \"array\",\n\t\t\t\t\t\"minItems\": 1,\n\t\t\t\t\t\"items\": {\n\t\t\t\t\t\t\"type\": \"object\",\n\t\t\t\t\t\t\"description\": \"单条记录，键为字段ID（来自 _query_table_define 的 fieldList[].id），值为对应字段的数据。UUID、Seq 类型字段无需传入。nullable=false 的字段必须提供值。示例：{\\\"memberName\\\": \\\"张三\\\", \\\"roleName\\\": \\\"项目经理\\\", \\\"phone\\\": \\\"13800138000\\\", \\\"email\\\": \\\"zhangsan@example.com\\\"}\"\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\t\"required\": [\"tableId\", \"recordList\"]\n\t\t}\n\t}\n}","is_error":false}]},"uuid":"0249ce09-f89b-4d30-815b-e1c5ba9504ae","timestamp":"2026-06-01T07:27:44.290Z","sourceToolAssistantUUID":"9712a04f-e32e-4bb0-a738-bd11b9b5f156","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"0249ce09-f89b-4d30-815b-e1c5ba9504ae","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"9d7301c0-b1bd-46ec-8dd6-fc5f7dc7b559","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"The batch insert happens in the user-facing (published) environment, not the designer environment. So I need to use `_query_all_table_list` and `_query_table_define` for the published tables first, then insert.\n\nLet me check the published tables for the 官网管理 app to get the article table's published structure and insert the article.\n\nActually, looking at the method list more carefully, I see that `_table_record_batch_insert` is a user-end method, which means the table needs to be published. Let me first check if the article table exists in the published environment.","signature":"9d7301c0-b1bd-46ec-8dd6-fc5f7dc7b559"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":981,"cache_creation_input_tokens":0,"cache_read_input_tokens":67200,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"fb7e643c-feef-4868-a2aa-1915a21cf3d2","timestamp":"2026-06-01T07:27:46.827Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"fb7e643c-feef-4868-a2aa-1915a21cf3d2","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"9d7301c0-b1bd-46ec-8dd6-fc5f7dc7b559","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_2sY80QsQM4KGbOn3SVG67033","name":"Bash","input":{"command":"node /Users/ginko.wang/.claude/skills/informat/scripts/call_informat.js _query_all_table_list --appId lz943002ds9p0","description":"Query published tables for 官网管理 app"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":981,"cache_creation_input_tokens":0,"cache_read_input_tokens":67200,"output_tokens":227,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"8275ed4a-a7db-4a20-b478-ca7a8108357a","timestamp":"2026-06-01T07:27:47.254Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"8275ed4a-a7db-4a20-b478-ca7a8108357a","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_2sY80QsQM4KGbOn3SVG67033","type":"tool_result","content":"[\n {\n \"id\": \"tdk\",\n \"name\": \"官网TDK设置\"\n },\n {\n \"id\": \"friend_link\",\n \"name\": \"友情链接\"\n },\n {\n \"id\": \"promotion_jump_link\",\n \"name\": \"跳转链接管理\"\n },\n {\n \"id\": \"customer_case\",\n \"name\": \"客户案例\"\n },\n {\n \"id\": \"article_data\",\n \"name\": \"文章数据\"\n },\n {\n \"id\": \"promotion_link\",\n \"name\": \"推广链接管理\"\n },\n {\n \"id\": \"promotion_link_visit\",\n \"name\": \"推广链接点击记录\"\n },\n {\n \"id\": \"site_config\",\n \"name\": \"站点配置\"\n },\n {\n \"id\": \"video\",\n \"name\": \"视频管理\"\n },\n {\n \"id\": \"video_category\",\n \"name\": \"视频分类\"\n },\n {\n \"id\": \"articleMapping\",\n \"name\": \"文章自动映射\"\n },\n {\n \"id\": \"article_category\",\n \"name\": \"文章分类\"\n },\n {\n \"id\": \"article_category_descs\",\n \"name\": \"文章分类介绍\"\n },\n {\n \"id\": \"trackKeywordDetail\",\n \"name\": \"关键词追踪明细\"\n },\n {\n \"id\": \"trackKeyword\",\n \"name\": \"关键词\"\n },\n {\n \"id\": \"article\",\n \"name\": \"文章管理\"\n }\n]","is_error":false}]},"uuid":"9296aeaf-1825-4c7c-b34d-ff55aa58997a","timestamp":"2026-06-01T07:27:49.121Z","sourceToolAssistantUUID":"8275ed4a-a7db-4a20-b478-ca7a8108357a","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"9296aeaf-1825-4c7c-b34d-ff55aa58997a","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"6991693e-fe4a-49fb-b53d-e675d6a4c048","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"The article table is published. Now I also need to check the published table define for \"article\" to make sure the field IDs are the same in the published version.","signature":"6991693e-fe4a-49fb-b53d-e675d6a4c048"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":408,"cache_creation_input_tokens":0,"cache_read_input_tokens":68352,"output_tokens":0,"service_tier":"standard"}},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"c9b7fdf2-dc6c-4de3-a3e5-eef0f54e9778","timestamp":"2026-06-01T07:27:50.543Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"c9b7fdf2-dc6c-4de3-a3e5-eef0f54e9778","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"6991693e-fe4a-49fb-b53d-e675d6a4c048","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"tool_use","id":"call_00_qSIcBn79MlIZhU2SbeKc0945","name":"Bash","input":{"command":"node /Users/ginko.wang/.claude/skills/informat/scripts/call_informat.js _query_table_define --appId lz943002ds9p0 --file <(echo '{\"tableId\":\"article\"}')","description":"Query published article table field structure"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":408,"cache_creation_input_tokens":0,"cache_read_input_tokens":68352,"output_tokens":150,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_details":null},"attributionAgent":"general-purpose","attributionSkill":"informat","type":"assistant","uuid":"abcfaf35-f6f1-47c1-9cb0-7f66f2f3f5f8","timestamp":"2026-06-01T07:27:51.083Z","userType":"external","entrypoint":"cli","cwd":"/Users/ginko.wang/Documents/ginko/informat-article-ai","sessionId":"5146c1ff-d797-4b59-9023-865f2e243deb","version":"2.1.153","gitBranch":"main"}
{"parentUuid":"abcfaf35-f6f1-47c1-9cb0-7f66f2f3f5f8","isSidechain":true,"promptId":"55fd5bdb-35b8-48a8-a6d4-7d69e0da7ed7","agentId":"ae67e779cc503b72b","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_00_qSIcBn79MlIZhU2SbeKc0945","type":"tool_result","content":"{\n \"fieldList\": [\n {\n \"id\": \"id\",\n \"name\": \"id\",\n \"type\": \"UUID\"\n },\n {\n \"id\": \"seq\",\n \"name\": \"seq\",\n \"type\": \"Seq\"\n },\n {\n \"id\": \"name\",\n \"name\": \"标题\",\n \"singleTextSetting\": {\n \"nullable\": false\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"category\",\n \"name\": \"资讯分类\",\n \"relationRecordSetting\": {\n \"nameFieldId\": \"name\",\n \"nullable\": false,\n \"tableId\": \"article_category\"\n },\n \"type\": \"RelationRecord\"\n },\n {\n \"id\": \"parentCategory\",\n \"name\": \"资讯大类\",\n \"relationRecordFieldSetting\": {\n \"fieldId\": \"article\",\n \"targetFieldId\": \"category\",\n \"targetTableId\": \"article_category\"\n },\n \"type\": \"RelationRecordField\"\n },\n {\n \"id\": \"description\",\n \"name\": \"简介\",\n \"type\": \"MultiText\"\n },\n {\n \"attachmentSetting\": {\n \"multiple\": false,\n \"nullable\": true\n },\n \"id\": \"cover\",\n \"name\": \"封面\",\n \"type\": \"Attachment\"\n },\n {\n \"dateSetting\": {\n \"nullable\": true\n },\n \"id\": \"publishTime\",\n \"name\": \"发布时间\",\n \"type\": \"Date\"\n },\n {\n \"id\": \"author\",\n \"name\": \"作者\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"metaTitle\",\n \"name\": \"Title\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"metaKeywords\",\n \"name\": \"Keywords\",\n \"singleTextSetting\": {\n \"nullable\": true\n },\n \"type\": \"SingleText\"\n },\n {\n \"id\": \"metaDescription\",\n \"name\": \"Description\",\n \"type\": \"MultiText\"\n },\n {\n \"id\": \"content\",\n \"name\": \"正文\",\n \"type\": \"RichText\"\n },\n {\n \"id\": 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{"parentUuid":"eedd213e-579f-4744-a23f-4d00a912640f","isSidechain":true,"agentId":"ae67e779cc503b72b","message":{"id":"df492efc-c146-4d5a-88d2-fe723243d534","type":"message","role":"assistant","model":"deepseek-v4-flash","content":[{"type":"thinking","thinking":"Now I have all the information I need. Let me construct the insert payload. The key fields are:\n\n- `name` (标题) - required: \"Supply Chain BPM: Optimizing End-to-End Logistics Processes in 2026\"\n- `content` (正文) - RichText: the HTML article content\n- `author` (作者) - \"Informat AI\"\n- `metaTitle` (Title) - \"Supply Chain BPM: Optimizing End-to-End Logistics Processes in 2026\"\n- `metaKeywords` (Keywords) - primary and secondary keywords\n- `metaDescription` (Description) - SEO meta description, 140-160 chars\n- `description` (简介) - brief intro of the article\n- `category` (资讯分类) - relation record to article_category, using field \"name\" as nameFieldId. So I need to pass the name \"Business Process Management\"? Actually for RelationRecord, I need to check how to pass the value. Looking at the design, the `nameFieldId` is the field in article_category that serves as the display field, which is \"name\". For inserting, I think I need to pass the record ID of the category.\n\nActually, for RelationRecord type, looking at the parameter doc: \"Select（单选）：填写选项字符串值\" - but that's for Select types. For RelationRecord, I need to pass the record reference. Let me check how others have done it.\n\nActually, looking at the published table field definition:\n```json\n{\n \"id\": \"category\",\n \"name\": \"资讯分类\",\n \"relationRecordSetting\": {\n \"nameFieldId\": \"name\",\n \"nullable\": false,\n \"tableId\": \"article_category\"\n },\n \"type\": \"RelationRecord\"\n}\n```\n\nFor a RelationRecord field, I need to pass an object that references the category record. The batch insert parameter doc says for RelationRecord, I should pass an object with the value references. But it doesn't specifically address RelationRecord fields in the general rules. \n\nLet me think about this. For RelationRecord, the value should probably be the ID of the record in the target table. Or it might be an object like `{\"_id\": \"categoryId\"}`.\n\nBased on common patterns in this system, for RelationRecord I think I should pass the category name since the nameFieldId is \"name\". Or do I pass the record ID?\n\nLet me try passing the category ID directly. The `nameFieldId` is \"name\" - this is the field in the article_category table that's used for display when showing the relation. For the actual data, a RelationRecord stores a reference to a record in the target table. \n\nI'll try passing the ID of the business process management category: \"nnucgjej93s4f\"\n\nAlso for `parentCategory` (RelationRecordField), its setting is:\n```json\n{\n \"fieldId\": \"article\",\n \"targetFieldId\": \"category\",\n \"targetTableId\": \"article_category\"\n}\n