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I am having issue with “socket hang up” Error code ECONNRESET with claude-3-7-sonnet-20250219 in HTTP Request.
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The connection to the server was closed unexpectedly, perhaps it is offline. You can retry the request immediately or wait and retry later.
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'The connection to the server was closed unexpectedly, perhaps it is offline. You can retry the request immediately or wait and retry later.
Error details
From HTTP Request
Error code
ECONNRESET
Full message
socket hang up
Request
{ “body”: { “model”: “claude-3-7-sonnet-20250219”, “max_tokens”: 7999, “temperature”: 0.2, “stream”: false, “system”: “You are a professional content strategist who specializes in creating clear, concise content briefs.”, “messages”: [ { “role”: “user”, “content”: [ { “type”: “text”, “text”: “You will be provided an outline/brief below. \n\nAI automation agency: Streamlined Content Brief\nOverview\nCreate a concise, SEO-optimized article about AI automation agencies and their strategic role in enterprise digital transformation. The content should be authoritative, informative, and valuable to C-suite technology leaders (CTOs, VPs of Innovation, Digital Transformation Directors) seeking to leverage AI solutions for operational efficiency, cost reduction, and competitive advantage while maintaining efficiency in word count.\n\nArticle Structure\nMain Topic Sections (Each section should be approximately 200-220 words unless otherwise specified)\nUnderstanding the Role of AI Automation Agencies in Enterprise Transformation\n- An overview of how AI automation agencies are key players in digital transformation for enterprises\n- The unique capabilities that distinguish these agencies from traditional solutions\n\nEnterprise-Focused AI Solutions for Targeted Transformation\n- How AI automation agencies develop custom solutions to meet industry-specific challenges\n- Addressing compliance requirements and aligning with unique operational needs\n\nSeamless System Integration: A Hallmark of Leading AI Agencies\n- The critical role of expert integration in connecting AI solutions with existing enterprise infrastructure\n- Maintaining business continuity while modernizing operations\n\nCustom Workflow Automation as a Catalyst for Digital Transformation\n- Streamlining complex processes through targeted automation strategies\n- Achieving improved operational efficiency and significant cost savings\n\nEnsuring Data Security and Compliance in AI Implementations\n- The importance of robust data security frameworks in enterprise AI projects\n- How agencies safeguard sensitive information with sophisticated protection measures\n\nScalability and Long-Term Growth Enabled by AI Solutions\n- Deploying adaptive AI systems that grow with business needs\n- Ensuring operational excellence as organizational complexity increases\n\nOptimizing ROI Through Strategic Planning and Monitoring\n- How AI automation agencies help enterprises achieve measurable returns\n- The role of continuous monitoring and strategic assessment in maximizing investment value\n\nFacilitating Change Management for Smooth AI Adoption\n- Guiding organizations through transformation by addressing employee concerns\n- Best practices for ensuring successful integration of automated workflows\n\nLeveraging Industry-Specific Knowledge for Effective AI Solutions\n- The impact of sector expertise on tailoring AI implementations\n- Addressing unique enterprise challenges and standards through targeted strategies\n\nPerformance Analytics for Continuous Improvement and Value Maximization\n- Utilizing sophisticated monitoring tools to enhance AI implementation effectiveness\n- Strategies for ongoing optimization and value extraction from automation investments\n\nPartnering with AI Automation Agencies: Strategic Insights and Next Steps\n- Key considerations for selecting and partnering with an AI automation agency\n- Critical steps for planning successful enterprise-level AI transformations\n- Future trends and the evolving role of AI in business process revolutionization\n\nSEO Requirements\nTarget Audience\nEnterprise Digital Transformation Leaders, including CTOs, VPs of Innovation, and Digital Transformation Directors\n\nPrimary Keywords (to be used in headings and strategically throughout the content)\n{"primary_keyword":"AI automation agency","secondary_keywords":["enterprise AI solutions","digital transformation automation","custom AI implementation"],"semantic_keywords":["AI consulting","workflow optimization","business process automation"],"long_tail_keywords":["integrating AI with legacy enterprise systems","regulatory compliance in AI automation for large corporations","measuring ROI of enterprise-level AI implementations"]}\n\nSecondary Keywords (used selectively where natural)\n["enterprise AI solutions","digital transformation automation","custom AI implementation"]\n\nSearch Intent Optimization\n# Search Intent Analysis: "AI automation agency"\n\nFocus primarily on commercial and informational intent\n\n* Address key questions enterprise decision-makers have:\n - What specific services do AI automation agencies provide?\n - How do AI automation agencies differ from traditional digital transformation consultants?\n - What ROI can be expected from partnering with an AI automation agency?\n\n* Provide decision-making guidance for:\n - Evaluating AI automation agency expertise and track record\n - Understanding pricing models and investment requirements\n - Assessing integration capabilities with existing enterprise systems\n - Determining support and maintenance offerings post-implementation\n\n* Content should balance educational value about AI automation capabilities with clear service differentiation to support vendor selection decisions\n\nContent Requirements\nWord Count and Depth\nTotal word count: 1,800-2,000 words\nMain sections: Approximately 200-220 words each\nConclusion: 120-140 words\nUse focused examples that highlight key points rather than extensive case studies\n\nContent Format and Style\nUse H2 tags for main sections and H3 tags for key subsections only\nBold only 1-2 key phrases per section using tags\nUse active voice and a professional, authoritative tone\nWrite in an accessible style with concise sentences\nPrioritize scannable paragraphs (3-4 sentences maximum)\n\nFocused Engagement Elements\nInclude only one of the following per section:\nMini case study (50-75 words) showing specific outcomes and metrics\nExpert insight (30-50 words) highlighting a key industry perspective\nThought-provoking question that prompts reader reflection\nBefore/after comparison showing transformation results\nData point or statistic that supports the main claim\n\n\nInternal Linking\nIncorporate these internal links naturally (once per link):\nFuture of Work: Embrace AI and Automation | 2024 Business Guide \nHow AI in Customer Service Automation Can Enhance Customer Experience - HYPESTUDIO \nThe Essential Guide to Understanding Generative AI - HYPESTUDIO \nHow to Choose the Right AI Automation Agency for Your Business - HYPESTUDIO \nAI Solutions - HYPESTUDIO \n\nContent Optimization Guidelines\nContent Strategy\n\nFocus on high-value information density rather than extensive elaboration\nPrioritize actionable insights over theoretical background\nUse a single strong example rather than multiple similar examples\nChoose the most impactful metrics and outcomes rather than comprehensive lists\nStructure content to highlight key takeaways with minimal supporting text\n\nContent Optimization\nPlace primary keywords in the first 50 words\nMaintain keyword density of 1% for primary keywords\nInclude semantic variations of keywords only where they add value\nOptimize paragraph structure with strong topic sentences\nCut any information that doesn’t directly support the main points\n\nReadability Optimization\nAim for a Flesch reading ease score of 40-50 (for professional audience)\nUse transition words efficiently (15-20% of sentences)\nKeep sentence length predominantly under 15 words\nUse bullet points for lists to improve scanability\nRemove unnecessary adverbs and adjectives to tighten prose\n\nAdditional Elements\nFuture Trends Section\nInclude a concise section on future trends in AI automation within the "Partnering with AI Automation Agencies" section, covering:\n* Hyper-personalized AI solutions\n* Cross-platform AI orchestration\n* Autonomous decision intelligence systems\n* Quantum-enhanced AI processing\n* Collaborative human-AI workflows\n\nCTA Placement\nInclude a single strategic call-to-action at the end of the article (within the conclusion) that guides readers toward consultation or further resources.\n\nFinal Delivery Requirements\nDeliver in HTML format\nEnsure all sections are covered concisely but completely\nEliminate redundancy across sections\nFocus on precision over comprehensiveness\nVerify proper keyword placement and formatting before submission\n\n\n## IMPORTANT INSTRUCTION ABOUT MAIN CONTENT \nYou must generate ONLY the Main Content sections of the article, excluding the introduction, key takeaways, references, FAQ, FAQ references, and related videos sections. \nNever end with placeholders like "[Continued…]". THE ENTIRE ARTICLE MUST BE GENERATED AT ONCE with all sections fully written out.\n\n### Customer Avatar \nWrite the content for the following audience: \n# AI Automation Visionary\n\n## 1. Primary Customer Avatar:\n"Enterprise Digital Transformation Leader"\n\n## 2. Demographics:\n- Age range: 35-55\n- Position/Roles:\n * Enterprise level: Chief Technology Officer, VP of Innovation, Digital Transformation Director\n * Mid-Market level: IT Director, Operations Manager, Process Improvement Lead\n * Small Business level: Owner, CEO, General Manager\n- Income bracket:\n * Enterprise level: $150,000 - $350,000+\n * Mid-Market level: $100,000 - $200,000\n * Small Business level: $80,000 - $150,000\n- Geographic location: Major metropolitan areas and tech hubs\n- Organization Size:\n * Enterprise: 1000+ employees / $500M+ revenue\n * Mid-Market: 100-999 employees / $50M-$500M revenue\n * Small Business: 10-99 employees / $1M-$50M revenue\n- Budget Authority/Spending Capacity:\n * Enterprise: $100,000 - $200,000\n * Mid-Market: $50,000 - $100,000\n * Small Business: $5,000 - $50,000\n\n## 3. Psychographics:\n- Decision-making approach: Data-driven, strategic, long-term oriented\n- Core values: Innovation, efficiency, competitive advantage\n- Information sources: Industry reports, tech blogs, conferences, peer networks\n- Professional networks: LinkedIn, industry associations, executive forums\n- Technology services engagement habits: Regularly seeks new solutions, attends tech demos\n- Lifestyle: Tech-savvy, early adopter, work-life integration\n\n## 4. Core Services/Products They Seek:\n1. AI Process Analysis & Optimization\n - Pain point: Inefficient business processes\n - Goal: Streamline operations\n - Expected outcome: Increased productivity and cost savings\n\n2. Custom AI Workflow Development\n - Pain point: Manual, time-consuming tasks\n - Goal: Automate complex processes\n - Expected outcome: Improved accuracy and speed\n\n3. AI-Powered Customer Service Automation\n - Pain point: High customer service costs and inconsistent quality\n - Goal: Enhance customer experience while reducing costs\n - Expected outcome: Improved customer satisfaction and operational efficiency\n\n## 5. Key Challenges & Pain Points:\n- Keeping pace with rapidly evolving AI technologies\n- Integrating AI solutions with existing legacy systems\n- Ensuring ROI on AI investments\n- Addressing skill gaps in AI implementation and management\n- Navigating regulatory and ethical considerations of AI adoption\n\n## 6. Goals & Aspirations:\n- Professional/Business goals:\n * Lead digital transformation initiatives\n * Achieve significant cost savings through automation\n * Position the company as an industry innovator\n- Personal goals:\n * Enhance career prospects through successful AI projects\n * Stay at the forefront of technological advancements\n\n## 7. Technology Services Knowledge & Experience:\n- Current expertise: High-level understanding of AI potential\n- Related experience: Previous digital transformation projects\n- Tool familiarity: Enterprise software, basic AI platforms\n- Industry understanding: Deep knowledge of sector-specific challenges and opportunities\n\n## 8. Primary Concerns:\n- Major fears: Failed implementation, security breaches\n- Key worries: Employee resistance to change, AI reliability\n- Risk factors: High initial costs, potential job displacement\n\n## 9. Engagement Opportunities:\n- Content preferences: Case studies, whitepapers, ROI calculators\n- Communication channels: Email, LinkedIn, industry events\n- Purchase triggers: Competitor adoption, cost-saving potential\n- Decision factors: Proven results, integration capabilities, support services\n\n## Key Characteristics:\n- Forward-thinking and innovative\n- Seeks competitive advantage through technology\n- Values both efficiency and effectiveness\n- Balances risk and reward in technology adoption\n\n## Primary Motivation:\nTo leverage AI automation for significant business transformation, improving operational efficiency and maintaining a competitive edge in the market.\n\n## Main Decision-Making Factors:\n1. Demonstrable ROI and business impact\n2. Scalability and flexibility of AI solutions\n3. Vendor expertise and support capabilities\n4. Integration with existing systems and processes\n5. Data security and compliance assurances \n\n### Target Word Count\nThe Main Content section must be between 3,000-3,500 words. Ensure the content is detailed and comprehensive while maintaining clarity and engagement.\n\n### Content Requirements \n- Write in an NLP-friendly format that provides a high-level perspective on the topic. \n- The content must be relevant to the article and not generic about the topic. \n- It should specifically address the following topic: \n AI automation agency \n\n### Keyword Usage \n- Primary Keywords: Ensure each of the following keywords appears naturally at least once within the text: \n {"primary_keyword":"AI automation agency","secondary_keywords":["enterprise AI solutions","digital transformation automation","custom AI implementation"],"semantic_keywords":["AI consulting","workflow optimization","business process automation"],"long_tail_keywords":["integrating AI with legacy enterprise systems","regulatory compliance in AI automation for large corporations","measuring ROI of enterprise-level AI implementations"]}\n- Keyword Placement: \n - Each section heading must include at least one keyword. \n - Secondary Keywords: Naturally incorporate these throughout the content: \n ["enterprise AI solutions","digital transformation automation","custom AI implementation"]\n - Use synonyms for keywords where appropriate. \n\n### Formatting & Style \n- Each section should start with an <h2> heading and sub sections with <h3>, <h4> etc. \n- Use strong formatting (<strong>) for key terms (1-5 words per paragraph). \n- Incorporate lists where relevant, but always introduce them with a brief sentence. \n- Do not include external links or citations unless explicitly mentioned in the brief. \n- Write in a informative and persuasive tone of voice and concise and professional style. \n- Use active voice, contractions, and clear, engaging language aimed at both beginners and experts. Sentences should be short and structured for clarity. \n- Avoid repetitive sentence openings and passive voice. \n\n### Words to Avoid \nThe following words must not be used and should be replaced with appropriate alternatives: \n meticulous, meticulously, navigating, complexities, realm, bespoke, tailored, towards, underpins, ever-changing, ever-evolving, the world of, not only, seeking more than just, designed to enhance, it’s not merely, our suite, it is advisable, daunting, in the heart of, when it comes to, in the realm of, amongst, unlock the secrets, delving, unveil the secrets, and robust, embark, look no further, navigating, picture this, top-notch, unleash, unlock, unveil, we’ve got you covered, transition, transitioning, crucial, delve, daunting, deep dive, dive in, realm, ensure, in conclusion, in summary, optimal, assessing, firstly, strive, striving, furthermore, moreover, comprehensive, we know, we understand, testament, captivating, eager, refreshing, edge of my seat, breath of fresh air, breath of fresh, to consider, it is important to consider, there are a few considerations, it’s essential to, vital, it’s important to note, it should be noted, to sum up, secondly, lastly, in terms of, with regard to, it’s worth mentioning, it’s interesting to note, significantly, notably, essentially, as such, therefore, thus, interestingly, in essence, noteworthy, bear in mind, it’s crucial to note, one might argue, it’s widely acknowledged, predominantly, from this perspective, in this context, this demonstrates, arguably, it’s common knowledge, undoubtedly, this raises the question, in a nutshell, unveiled. \n\n### Internal Linking \nNaturally integrate these internal links within the text once per link: \n\n<internal_links> \nFuture of Work: Embrace AI and Automation | 2024 Business Guide \nHow AI in Customer Service Automation Can Enhance Customer Experience - HYPESTUDIO \nThe Essential Guide to Understanding Generative AI - HYPESTUDIO \nHow to Choose the Right AI Automation Agency for Your Business - HYPESTUDIO \nAI Solutions - HYPESTUDIO \n</internal_links> \n\nEach internal link must be in the format: \n<a href=\"URL\">anchor text</a> (1-6 words, naturally embedded in the sentence). \n\n### Output Format \n- HTML format only (no markdown, no summaries). \n- No placeholders like "[Continued…]"—the response must be complete. \n- The output must start with a <p> tag (no extra characters). \n\n## Final Check \nYOU MUST GENERATE THE ENTIRE ARTICLE IN ONE RESPONSE. DO NOT TRUNCATE OR USE PLACEHOLDERS. \n\nBefore submitting, verify: \n✅The entire Main Content is generated within 3,000-3,500 words.\n✅ The entire Main Content is generated without missing sections. \n✅ No introductory, key takeaways, references, FAQ, or related videos sections. \n✅ Proper use of HTML formatting, bolding, and internal links.” } ] } ] }, “headers”: { “x-api-key”: “hidden”, “anthropic-version”: “2023-06-01”, “content-type”: “application/json”, “accept”: “application/json,text/*;q=0.99” }, “method”: “POST”, “uri”: " https://api.anthropic.com/v1/messages", “gzip”: true, “rejectUnauthorized”: false, “followRedirect”: true, “resolveWithFullResponse”: true, “followAllRedirects”: true, “timeout”: 500000, “json”: true }
Other info
Item Index
0
Node type
n8n-nodes-base.httpRequest
Node version
4.2 (Latest)
n8n version
1.82.3 (Self Hosted)
Time
3/13/2025, 11:58:17 PM
Stack trace
NodeApiError: The connection to the server was closed unexpectedly, perhaps it is offline. You can retry the request immediately or wait and retry later. at ExecuteContext.execute (/usr/local/lib/node_modules/n8n/node_modules/n8n-nodes-base/dist/nodes/HttpRequest/V3/HttpRequestV3.node.js:525:33) at processTicksAndRejections (node:internal/process/task_queues:95:5) at WorkflowExecute.runNode (/usr/local/lib/node_modules/n8n/node_modules/n8n-core/dist/execution-engine/workflow-execute.js:687:27) at /usr/local/lib/node_modules/n8n/node_modules/n8n-core/dist/execution-engine/workflow-execute.js:919:51 at /usr/local/lib/node_modules/n8n/node_modules/n8n-core/dist/execution-engine/workflow-execute.js:1252:20’
Information on your n8n setup
- n8n version: Version 1.82.3
- Database (default: SQLite): default
- n8n EXECUTIONS_PROCESS setting (default: own, main): default
- Running n8n via (Docker): yes
- Operating system: Windows 11
Please help