Strukturierte XML-Systemnachrichten für KI-Agenten mit Claude 4 Sonnet erstellen

• •Anthropic API Key

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          "systemMessage": "<system_message>\n<agent_identity>\n<role>XML System Message Architect</role>\n<primary_function>Transform user-provided context and requirements into professional, well-structured XML system messages for AI agents</primary_function>\n<expertise>\n- XML formatting and structure optimization\n- AI prompt engineering best practices\n- System message component design\n- Role definition and task specification\n- Requirement analysis and organization\n</expertise>\n</agent_identity>\n\n<core_responsibilities>\n<analysis>\n- Parse user-provided context to identify key components\n- Extract role definitions, tasks, and requirements\n- Identify input/output specifications and constraints\n- Recognize quality standards and formatting needs\n</analysis>\n\n<structure_design>\n- Create logical XML hierarchy for system messages\n- Organize components into coherent, scannable sections\n- Establish clear relationships between different elements\n- Ensure proper nesting 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sparingly, prefer element content\n- Include clear section dividers for complex instructions\n- Maintain parallel structure across similar elements\n- Ensure tags are self-documenting and intuitive\n</best_practices>\n</xml_standards>\n\n<content_processing>\n<requirement_extraction>\n- Identify explicit instructions and implicit expectations\n- Distinguish between mandatory requirements and preferences\n- Recognize format specifications and output constraints\n- Extract quality standards and performance metrics\n</requirement_extraction>\n\n<information_organization>\n- Group related requirements under thematic categories\n- Prioritize information based on importance and usage frequency\n- Create logical flow from role definition to output expectations\n- Separate technical specifications from content guidelines\n</information_organization>\n\n<clarity_enhancement>\n- Replace ambiguous language with specific, actionable terms\n- Convert complex sentences into clear, direct 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Analyze the user's requirements and extract key components\n2. Design appropriate XML structure based on content complexity\n3. Organize information into logical, hierarchical sections\n4. Transform verbose instructions into clear, actionable XML elements\n5. Ensure all original requirements are preserved and enhanced\n6. Deliver complete, well-formatted XML system message ready for implementation\n\nFocus on creating professional, scannable, and immediately usable XML system messages that enhance AI agent performance through clear structure and comprehensive requirements specification.\n</task_execution>\n</system_message>"
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        "content": "## Create system messages in XML based on the context provided"
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        "content": "### See the output example in the Provided Agent system message itself"
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        "content": "# Agent XML System Message Engineering: Enabling Robust Enterprise Integration and Automation\n\n## Why Creating System Messages in XML Is Important\n\n**XML (Extensible Markup Language) engineering** is a foundational technique in modern software and system architecture. It enables the structured creation, storage, and exchange of messages—such as system instructions, configuration, or logs—by providing a human-readable, platform-independent, and machine-processable format. Here’s why this matters and how big tech companies leverage it:\n\n### Importance of XML in Engineering\n\n- **Standardization & Interoperability:** XML provides a consistent way to model and exchange data between different software components, no matter the underlying technology. This enables seamless integration of diverse systems, both internally within companies and externally across partners or clients.\n- **Traceability & Accountability:** By capturing not only the data but also its context (e.g., source, format, transformation steps), XML enables engineers to trace logic, troubleshoot issues, and ensure regulatory compliance. This is particularly crucial in sectors like finance, healthcare, and engineering where audit trails and documentation are mandatory.\n- **Configuration & Flexibility:** XML files are widely used for application settings. The clear hierarchical structure allows easy updates, quick testing of setups, and management of complex configurations—without deep developer intervention.\n- **Reusability & Automation:** Automating the creation of system messages or logs in XML allows organizations to reuse and adapt those messages for various systems or processes, reducing manual effort, errors, and improving scalability.\n\n### How Big Tech Companies Use XML\n\n- **System Integration and Messaging:** Large enterprises including Amazon, Google, Microsoft, and SAP use XML for encoding, transporting, and processing data between distributed systems via web services (such as SOAP and REST APIs), often at web scale.\n- **Business Process Automation:** In supply chain management, e-commerce, and transactional processing, XML enables rapid, secure, and traceable information exchange—helping automate operations that cross organizational and geographical borders.\n- **Content Management & Transformation:** Companies use XML to manage and deliver dynamic content—such as translations, different document layouts, or multi-channel publishing—by separating data from its presentation and enabling real-time transformations through XSLT or similar technologies.\n- **Data Storage, Validation, and Big Data:** XML’s schema definitions (XSD) and well-defined structure are used by enterprises for validating and storing data models, supporting compatibility and quality across complex systems, including big data applications.\n\n### Why XML System Message Engineering Remains Relevant\n\n> “XML is currently the most sophisticated format for distributed data — the World Wide Web can be seen as one huge XML database... Rapid adoption by industry [reinforces] that XML is no longer optional.”\n\n- It brings **consistency**, **scalability**, and **reliability** to how software communicates, making development faster and systems more robust.\n- Enterprises continue to use XML alongside newer formats (like JSON) wherever rich validation, structured messaging, and backward compatibility with legacy systems are required.\n\n**In summary:** XML engineering empowers organizations, especially tech giants, to build, scale, and manage complex digital ecosystems by facilitating integration, automation, traceability, and standardization of data and messages across their platforms, operations, and partners.\n"
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        "content": "## \nNeed a tailor-made workflow? Tell me about your business and get a free proposal:\n\n**[Start here → Custom Automation Form](https://taskmorphr.com/contact)**\n\n---\n## 📈 Cost-Savings Snapshot  \nCurious what automation could save you?  \nRun the 60-second calculator:\n\n**[ROI / Cost Comparison](https://taskmorphr.com/cost-comparison)**\n\n---\n### ✉️ Reach me directly  \n`paul@taskmorphr.com`"
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        "content": "### 🛠️ Build it yourself  \nBrowse every ready-made workflow:  \n[Full Template Pack — coming soon](https://n8n.io/creators/diagopl/)\n"
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