144 lines
7.9 KiB
YAML
144 lines
7.9 KiB
YAML
name: discussion-devops
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description: DevOps specialist participant for discussions
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category: Discussion
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meta:
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display_name: AI-DevOps
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alias: devops
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type: voting
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expertise:
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- CI/CD pipelines
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- Infrastructure as Code
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- Container orchestration
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- Monitoring and observability
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- Cloud platforms (AWS
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- GCP
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- Azure)
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- Configuration management
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- Deployment strategies
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concerns:
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- How do we deploy this?
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- What's the monitoring strategy?
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- Is this infrastructure scalable?
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- How do we handle rollbacks?
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voice: en-US-Neural2-F
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provider: claude
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color:
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- 100
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- 200
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- 255
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arguments:
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- flag: --callout
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variable: callout
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default: ''
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description: Specific question or @mention context
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- flag: --templates-dir
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variable: templates_dir
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default: templates
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description: Path to templates directory
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- flag: --diagrams-dir
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variable: diagrams_dir
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default: diagrams
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description: Path to save diagrams
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- flag: --log-file
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variable: log_file
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default: ''
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description: Path to log file for progress updates
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steps:
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- type: code
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code: "import re\nimport os\n\nphase_match = re.search(r'<!--\\s*Phase:\\s*(\\w+)\\\
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s*-->', input, re.IGNORECASE)\ntemplate_match = re.search(r'<!--\\s*Template:\\\
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s*(\\w+)\\s*-->', input, re.IGNORECASE)\n\ncurrent_phase = phase_match.group(1)\
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\ if phase_match else \"initial_feedback\"\ntemplate_name = template_match.group(1)\
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\ if template_match else \"feature\"\n\ntemplate_path = os.path.join(templates_dir,\
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\ template_name + \".yaml\")\nphase_goal = \"Provide DevOps feedback\"\nphase_instructions\
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\ = \"Review the proposal for deployment and infrastructure concerns.\"\n\nif\
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\ os.path.exists(template_path):\n import yaml\n with open(template_path,\
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\ 'r') as f:\n template = yaml.safe_load(f)\n phases = template.get(\"\
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phases\", {})\n phase_info = phases.get(current_phase, {})\n phase_goal\
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\ = phase_info.get(\"goal\", phase_goal)\n phase_instructions = phase_info.get(\"\
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instructions\", phase_instructions)\n\nphase_context = \"Current Phase: \" + current_phase\
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\ + \"\\n\"\nphase_context += \"Phase Goal: \" + phase_goal + \"\\n\"\nphase_context\
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\ += \"Phase Instructions:\\n\" + phase_instructions\n"
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output_var: phase_context, current_phase
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- type: code
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code: "import re\nimport os\n\ntitle_match = re.search(r'<!--\\s*Title:\\s*(.+?)\\\
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s*-->', input)\ndiscussion_name = \"discussion\"\nif title_match:\n discussion_name\
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\ = title_match.group(1).strip().lower()\n discussion_name = re.sub(r'[^a-z0-9]+',\
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\ '-', discussion_name)\n\nos.makedirs(diagrams_dir, exist_ok=True)\n\nexisting\
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\ = []\nif os.path.exists(diagrams_dir):\n for f in os.listdir(diagrams_dir):\n\
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\ if f.startswith(discussion_name):\n existing.append(f)\n\n\
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next_num = len(existing) + 1\ndiagram_path = diagrams_dir + \"/\" + discussion_name\
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\ + \"_devops_\" + str(next_num) + \".puml\"\n"
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output_var: diagram_path
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- type: code
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code: "import sys\nimport datetime as dt\ntimestamp = dt.datetime.now().strftime(\"\
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%H:%M:%S\")\nfor msg in [f\"Phase: {current_phase}\", \"Calling AI provider...\"\
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]:\n line = f\"[{timestamp}] [devops] {msg}\"\n print(line, file=sys.stderr)\n\
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\ sys.stderr.flush()\n if log_file:\n with open(log_file, 'a') as\
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\ f:\n f.write(line + \"\\n\")\n f.flush()\n"
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output_var: _progress1
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- type: prompt
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prompt: "You are AI-DevOps (also known as Devon), a DevOps specialist who ensures\n\
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reliable deployments, robust infrastructure, and comprehensive observability.\n\
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\n## Your Role\n- Design deployment pipelines and strategies\n- Plan infrastructure\
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\ and scaling approaches\n- Ensure monitoring and alerting coverage\n- Consider\
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\ disaster recovery and rollback procedures\n- Apply DevOps and SRE best practices\n\
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\n## Your Perspective\n- If it's not automated, it's a future incident\n- Monitoring\
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\ is not optional - you can't fix what you can't see\n- Every deployment should\
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\ be reversible\n- Infrastructure as code prevents configuration drift\n- Chaos\
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\ is inevitable - plan for it\n\n## DevOps Checklist\n- CI/CD pipeline requirements\n\
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- Container/orchestration needs\n- Environment configuration\n- Secrets management\n\
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- Monitoring and alerting\n- Logging and tracing\n- Backup and recovery\n- Scaling\
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\ strategy (horizontal/vertical)\n- Deployment strategy (blue-green, canary, rolling)\n\
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\n## Phase Context\n{phase_context}\n\n## Diagrams\nWhen creating infrastructure\
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\ or deployment diagrams, include a reference marker.\nDiagram path to use: {diagram_path}\n\
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\nIMPORTANT: When you create a diagram, your comment MUST include:\nDIAGRAM: {diagram_path}\n\
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\n## Current Discussion\n{input}\n\n## Your Task\n{callout}\n\nFollow the phase\
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\ instructions. Analyze from a DevOps/infrastructure perspective.\n\n## Response\
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\ Format\nRespond with valid JSON only. Use \\n for newlines in strings:\n{{\n\
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\ \"comment\": \"Your DevOps analysis...\\n\\nDIAGRAM: path/file.puml (if created)\"\
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,\n \"vote\": \"READY\" or \"CHANGES\" or \"REJECT\" or null,\n \"diagram\"\
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: \"@startuml\\n...\\n@enduml\"\n}}\n\nVote meanings:\n- READY: Deployment/infrastructure\
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\ is solid\n- CHANGES: DevOps improvements needed\n- REJECT: Significant infrastructure\
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\ issues\n- null: Comment only, no vote change\n\nIf you have nothing meaningful\
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\ to add, respond: {{\"sentinel\": \"NO_RESPONSE\"}}\n"
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provider: claude
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output_var: response
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- type: code
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code: "import sys\nimport datetime as dt\ntimestamp = dt.datetime.now().strftime(\"\
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%H:%M:%S\")\nline = f\"[{timestamp}] [devops] AI response received\"\nprint(line,\
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\ file=sys.stderr)\nsys.stderr.flush()\nif log_file:\n with open(log_file,\
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\ 'a') as f:\n f.write(line + \"\\n\")\n f.flush()\n"
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output_var: _progress2
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- type: code
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code: "import re\njson_text = response.strip()\nif json_text.startswith('```'):\n\
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\ code_block = re.search(r'```(?:json)?\\s*(\\{.*\\})\\s*```', json_text, re.DOTALL)\n\
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\ if code_block:\n json_text = code_block.group(1).strip()\n"
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output_var: json_text
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- type: code
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code: "import json\ntry:\n parsed = json.loads(json_text)\nexcept json.JSONDecodeError\
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\ as e:\n fixed = json_text.replace('\\n', '\\\\n')\n try:\n parsed\
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\ = json.loads(fixed)\n except json.JSONDecodeError:\n import re\n \
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\ comment_match = re.search(r'\"comment\"\\s*:\\s*\"(.*?)\"(?=\\s*[,}])',\
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\ json_text, re.DOTALL)\n vote_match = re.search(r'\"vote\"\\s*:\\s*(\"\
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?\\w+\"?|null)', json_text)\n diagram_match = re.search(r'\"diagram\"\\\
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s*:\\s*\"(.*?)\"(?=\\s*[,}])', json_text, re.DOTALL)\n parsed = {\n \
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\ \"comment\": comment_match.group(1).replace('\\n', ' ') if comment_match\
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\ else \"Parse error\",\n \"vote\": vote_match.group(1).strip('\"')\
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\ if vote_match else None,\n \"diagram\": diagram_match.group(1) if\
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\ diagram_match else None\n }\n if parsed[\"vote\"] == \"null\"\
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:\n parsed[\"vote\"] = None\ncomment = parsed.get(\"comment\", \"\"\
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)\nvote = parsed.get(\"vote\")\ndiagram_content = parsed.get(\"diagram\")\nhas_diagram\
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\ = \"true\" if diagram_content else \"false\"\n"
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output_var: comment, vote, diagram_content, has_diagram
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- type: code
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code: "if has_diagram == \"true\" and diagram_content:\n with open(diagram_path,\
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\ 'w') as f:\n f.write(diagram_content)\n saved_diagram = diagram_path\n\
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else:\n saved_diagram = \"\"\n"
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output_var: saved_diagram
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- type: code
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code: "import json\nresult = {\"comment\": comment, \"vote\": vote}\nif saved_diagram:\n\
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\ result[\"diagram_file\"] = saved_diagram\nfinal_response = json.dumps(result)\n"
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output_var: final_response
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output: '{final_response}'
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